Perceived Knowledge and Attitude of Ijebu-Ode Inhabitants Regarding Waste Disposal and Management Problems: A Study of Ijebu-Ode Township, Ogun State, Nigeria

Perceived Knowledge and Attitude of Ijebu-Ode Inhabitants Regarding Waste Disposal and Management Problems: A Study of Ijebu-Ode Township, Ogun State, Nigeria | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Perceived Knowledge and Attitude of Ijebu-Ode Inhabitants Regarding Waste Disposal and Management Problems: A Study of Ijebu-Ode Township, Ogun State, Nigeria Olasunkanmi Olalekan OLAIYA, Adijat Oluwatoyin AYANDA, Akeem Adedeji ADETUNJI This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9020873/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Waste management has become a perennial problem confronting all tiers of government in Nigeria in recent times. This problem has taken monumental dimensions most especially in urban centres; man’s unguided development and ineffective waste management especially in the urban centres has resulted in degraded urban environments. As it stands, effective waste management in our urban centres needs to be properly addressed to achieving sustainable urban development. The study sought to identify the knowledge regarding waste disposal and management problems of the inhabitants of Ijebu-ode, Township, Ogun State, Nigeria. The study used 250 inhabitants of Ijebu-Ode Township using a simple random sampling procedure. The instrument used was a validated questionnaire with likert type scale, interview and personal observation. Data collected through questionnaire were analyzed using frequency counts and simple percentages, while the three hypotheses generated for the study were tested using Chi-square statistic at 0.05 significant level. All the hypotheses were accepted as there were no significant difference in the knowledge of respondents with respect to waste disposal and management problems of Ijebu-Ode inhabitants. The study recommend that there is urgent need to increase the numerical strength of public health officers in order to monitor waste disposal and attainment of a clean environment. Inclusively, the government should provide adequate fund and necessary equipment and machineries for effective and efficient waste disposal management. Environmental Policy Environmental Chemistry City Management and Urban Policy Disposal Environmental Sanitation Ijebu-Ode Waste management 1. INTRODUCTION One of the greatest environmental problems that pose a grave challenge to urban centres is waste disposal management. Today, the issue of waste disposal constitutes a major urban environmental paralysis; a clog in the wheel of progress in terms of urban environmental purity and sanitation. The deterioration of urban environment in terms of irresponsibly dumped and accumulated waste is most apparent in our urban lives and blighted environment have often been cited and voted as contributing causes of the Nigeria urban decay [1]. In Ijebu-Ode town, waste problem have gained notoriety because of its visibility and general degradation of the environment. It is a common site to find mounds of waste in many places, besides, the wastes are scattered in gutters, street corners and road sides of Ijebu-Ode Township. A major consequence of rapid urbanization and industrialization is the growing generation of waste which has continued to pose serious problems due to enormous waste generated in every municipality like Ijebu-Ode town, the focus of this research project. The problem of waste is critical as the disposal facilities have not been able to keep pace with the quantum of waste been generated; hence, there is no formal waste collection system [2, 3]. Ijebu-Ode municipal waste authorities face unprecedented challenges in managing their waste and these has continued to pose serious challenges due to the absence of an appropriate and organized waste disposal management culture and technology which arises largely from financial constraints, inadequate skilled manpower, and this is due to the fact that Ijebu-Ode town has almost choked up as a result of the process of urbanization and industrialization which is one of the major features of the 21 st century [4]. Ijebu Ode is a city located in located in Ijebu-Ode Local Government Area of Ogun State, South-Western Nigeria, with an estimated population of 222, 653 [5]. Ijebu-Ode local Government covers an area of 13,394 hectares of land, making it one of the largest local Governments in the state. It is located between latitude 6 0 49’N and 15 0 N, and between longitude 3 0 55’E and 05 0 E of the Greenwich meridian. It is bounded in the North by the Ijebu-East local Government, while in the South by Lagos State and Odogbolu Local Government to the Western side of the local Government. The climate condition experiences in Ijebu-Ode region mirrors the climate of Nigeria. Ijebu-Ode experiences humid tropical climate characterized with two distinct seasons: the rainy season (March/April to October/November) and dry season (November to March). Ijebu-Ode has an average temperature of 30 o C throughout the year and an annual range between 6 o C – 10 o C [6, 7]. Ijebu-Ode is situated on an undulating topography with an average height of 10m 700ft above the sea level. It is underlain by igneous and sedimentary rocks of the plagioclase type [8]. From all indications, solid waste management problems in Ijebu-Ode remain more persistent and pronounced when compared with several other towns in Ogun State and many Nigerian cities. This persistence can be attributed to a combination of historical, socio-economic, spatial, infrastructural, and institutional factors that uniquely characterize the town [1, 6, 8]. Firstly, rapid population growth and unplanned urban expansion in Ijebu-Ode have outpaced the capacity of municipal waste management systems. The town has experienced significant urbanization without a corresponding improvement in land-use planning and waste infrastructure [2, 7]. Many residential areas, especially older core neighborhoods, developed organically with narrow road networks, making access for waste collection vehicles difficult or impossible [1, 8]. In contrast, newer towns and state-planned urban centers in Ogun State benefit from relatively better road layouts and planned residential schemes, which facilitate more efficient waste collection [3]. Housing conditions in Ijebu-Ode contribute significantly to waste management challenges. A high proportion of residents live in overcrowded and poorly maintained housing units lacking adequate sanitation facilities [1]. The prevalence of informal housing arrangements increases indiscriminate waste disposal, as households often lack designated waste storage spaces [6]. This situation is compounded by limited access to potable water, which encourages unsanitary practices and the accumulation of refuse around residential areas, thereby worsening environmental health conditions [4]. Institutional and governance limitations play a critical role. Waste management agencies operating in Ijebu-Ode often face constraints related to inadequate funding, insufficient manpower, and limited operational equipment [5, 7]. These challenges reduce the frequency and coverage of waste collection services, leading to the proliferation of illegal dumpsites [8]. Compared to larger cities within Ogun State that receive greater fiscal attention or private sector participation, Ijebu-Ode remains underserved in terms of modern waste management interventions [6]. In addition, socio-economic characteristics of the population further exacerbate the problem. A substantial segment of the town’s residents engage in informal economic activities, which generate diverse waste streams without structured disposal mechanisms [6]. Low household income levels also limit residents’ willingness and ability to pay for waste collection services, thereby reducing cost recovery for waste management agencies and weakening service sustainability [7]. Public awareness and environmental education remain relatively weak. Although residents are generally aware of the health implications of poor waste management, compliance with waste disposal regulations is low due to ineffective enforcement and limited community participation [3, 4]. In other cities where waste management has improved, stronger community engagement, public enlightenment campaigns, and enforcement mechanisms have proven effective in changing waste disposal behavior [7]. The interaction between inadequate housing, poor water supply, and ineffective waste management creates a reinforcing cycle of environmental degradation in Ijebu-Ode. Unsanitary neighborhoods become hotspots for indiscriminate dumping, blocked drainage channels, and recurrent flooding, further complicating waste evacuation efforts [2, 8]. This interconnected nature of urban problems explains why waste management challenges in Ijebu-Ode persist despite ongoing interventions by municipal authorities [6]. Therefore, the health impacts of the latter problem cannot be farfetched as the incidence of typhoid and malaria fever attacks the residents which can be attributed largely to deterioration of their immediate environment. Furthermore, due to rapid urbanization, the provision of infrastructural facilities is not enough to serve the growing population. In effect, most of the available services are often overstretched and this has posed a serious problem to Ijebu-Ode inhabitants. Waste management in Ijebu-Ode town have defiled various solutions mainly due to poor infrastructural facilities, inadequate and untrained manpower, meagre finance and burgeoning urban population, coupled with lack of adequate awareness on part of the general public of Ijebu-Ode town on management of waste from various sources. STATEMENT OF THE PROBLEM Indiscriminate waste disposal remains a significant environmental challenge in Ijebu-Ode, where heaps of refuse are visible in many parts of the town. A considerable proportion of the waste generated is disposed of along roadsides, at unauthorized dump sites, in waterways, and in open spaces, thereby reducing environmental quality and cleanliness. Improper waste collection and disposal pose serious threats to public health and have adverse effects on flora, fauna, and the overall environment [9, 10]. The current state of waste management in Ijebu-Ode has been attributed to several factors, including inadequate waste management facilities, insufficient funding, weak policy implementation, and unsustainable consumption patterns. According to [11], challenges in effective waste management are often linked to inefficiencies in social service delivery, which result in delays in waste clearance. These challenges may stem from equipment breakdowns, poor maintenance of waste storage facilities, deteriorated urban roads, and inconsistencies in the designation and management of sanitary landfill sites. Despite growing attention to waste management issues, challenges related to waste collection, disposal, processing, treatment, recycling, and utilization persist. These challenges are not only infrastructural but also behavioral in nature, as residents’ attitudes and waste disposal practices play an important role in shaping waste management outcomes. Studies suggest that waste disposal habits, alongside inadequate equipment and institutional constraints, continue to hinder effective waste management in Ijebu-Ode [12]. The consequences of these challenges include blocked drainage systems, flooding, air pollution, public health risks, and a decline in environmental aesthetics and community pride. OBJECTIVES OF THE STUDY The main objective of this study is to assess the knowledge, attitudes, and practices of residents regarding waste disposal and management in Ijebu-Ode Township. The study also seeks to: 1. Examine the effectiveness of current waste management practices in Ijebu-Ode Township. 2. Determine the relationship between the availability of waste management personnel and the effectiveness of waste management. 3. Assess the impact of monthly environmental sanitation exercises on the sanitation situation in Ijebu-Ode Township. 4. Evaluate the role of waste managers and the provision of resources in improving waste disposal and management. RESEARCH QUESTIONS 1. What is the level of knowledge and awareness of residents regarding waste disposal and management in Ijebu-Ode Township? 2. What are the attitudes and perceptions of residents toward proper waste management practices? 3. How effective are the current waste management practices in Ijebu-Ode Township? 4. To what extent does the availability of waste management personnel influence the effectiveness of waste management? 5. How do waste managers and the provision of resources contribute to effective waste disposal and management in Ijebu-Ode Township? RESEARCH HYPOTHESES H₀: Waste management in Ijebu-Ode Township is not effective. H₁: Waste management in Ijebu-Ode Township is effective. H₀: There is no significant relationship between the availability of waste management personnel and the effectiveness of waste management. H₁: There is a significant relationship between the availability of waste management personnel and the effectiveness of waste management. H₀: Monthly environmental sanitation exercises have no significant impact on the sanitation situation. H₁: Monthly environmental sanitation exercises have a significant impact on the sanitation situation. H₀: The contributions of waste managers and the provision of resources do not significantly influence waste disposal and management. H₁: The contributions of waste managers and the provision of resources significantly influence waste disposal and management. 2. MATERIALS AND METHODOLOGY The study employed a descriptive survey method to assess the knowledge regarding waste disposal and management problems in Ijebu-ode Township, Ogun state, Nigeria. The target population comprised of the residents of five randomly selected locations of Ijebu-Ode Township which are, Igbeba area/ Oke-Aje Market, Ondo-Road, Balogun Kuku Road, Omo-Owo Road and Ereko Road. The sampling method used for this study was simple random sampling while the sample population size consisted of Two hundred and Fifty (250) respondents from the study area. The questionnaire contained closed and open ended questions and they were self – administered 250 questionnaires. All the responses from each of the completed questionnaire were coded and analyzed. The data collected were computed and analyzed using frequency counts, simple percentage analysis and Chi-Square statistical method. Simple percentage analysis was used to explain the demographic characteristics of the respondents. 3. RESULTS AND DISCUSSION 3.1 Analysis of returned questionnaires Fifty (50) questionnaires were administered in each of the selected locations (as shown in Table 1), this is due to the geographical areas having dense population and this has contributed to massive waste generation by the inhabitants of the various geographical locations in Ijebu-Ode Township. A total of Twenty (20) copies of the questionnaire were not properly filled and thus were discarded. Therefore, data analysis for this research was exclusively based on the information derived from Two hundred and thirty (230) copies of the questionnaire that were correctly filled and retrieved. Table 1: Analysis of Returned Questionnaires Randomly selected locations in Ijebu-Ode Numbers of questionnaires filled Numbers correctly filled Numbers incorrectly filled Simple % correctly filled Simple % incorrectly filled Igbeba Area/ Oke-Aje Market 50 43 7 86% 14% Ondo-Road 50 47 3 94% 6% Balogun Kuku Road 50 49 1 98% 2% Omo-Owo Road 50 46 4 92% 8% Ereko Road 50 45 5 90% 10% TOTAL 250 230 20 92% 8% 3.2 Demographic characteristics of the Ijebu-ode inhabitants The demographic characteristics of the 250 Ijebu-ode township inhabitants are shown in Table 2. 28.3% and 33.04% were respectively between the 40 – 49 and 50 above age bracket. This indicate that majority of the people that were involved in waste disposal are mainly of middle and the aged people. Thirty-nine (39) of the respondents representing 17% had no formal education, forty-four (44) of the respondents representing 19.1% obtained primary school leaving certificate, forty-five (45) of the respondents representing 19.6% had SSCE/O ’Level certificate, forty-two (42) of the respondents representing 18.3% had OND/NCE, and forty-eight (48) of the respondents representing 20.9% had B.Sc./HND, ten (10) of the respondents representing 4.3% had M.Sc./MA and two (2) of the respondents representing 0.87% had other educational qualifications. Fifty-seven (57) respondents representing 24.8% were students, thirty-four (34) respondents representing 14.8% were traders, forty-eight (48) respondents representing 20.9% were civil servants, sixty-three (63) respondents representing 27.4% were self-employed and twenty-eight (28) of the respondents representing 12.1% were others i.e. unemployed. However, Table 2 which describes employment distribution does not reflect educational background of the respondents. Table 2: Demographic Characteristics of the Ijebu-Ode inhabitants S/N Variables Frequency N=230 Simple % 1. Age (Years) 20 – 29 40 17.4 30 – 39 49 21.3 40 – 49 65 28.3 50 - above 76 33.04 Total 230 100 2. Level of Education No formal Education 39 17% Pry. School leaving cert. 44 19.1% SSCE 45 19.6% OND/NCE 42 18.3% B.Sc./HND 48 20.9 M.Sc./MA 10 4.3% Others 2 0.87% Total 230 100 3. Employment status Student 57 24.8% Trading 34 14.8% Civil Servant 48 20.9% Self Employed 63 27.4% Others 28 12.1% Total 230 100 3.3. Common waste disposal and management problems Table 3 shows the common waste disposal and management problems, 77% and 19.1% strongly agreed and agreed respectively that environmental awareness is an essential component of effective waste management, while 1.3% and 2.6% strongly disagreed and disagreed. 41.7% and 23.5% strongly agreed and agreed respectively to the claim that residents of Ijebu-Ode Township do not have regular doses of environmental education on waste management. The Monthly environmental sanitation exercise has positively impacted on the level of environmental quality in Ijebu-Ode Town as strongly agreed and agreed by 53% and 12.2% respectively, while 23.5% and 11.3% strongly disagreed and disagreed. 59.6% and 22.6% strongly agreed and agreed respectively that the staff strength of environmental sanitation workers in Ijebu-Ode Township is inadequate for proper waste management, while 7.4% and 10.4% strongly disagreed and disagreed. Influx of people into Ijebu-Ode Town has tremendously contributed to massive waste generation as strongly agreed and agreed respectively by 49.1% and 30%, and 10% strongly disagreed and disagreed respectively. 67.8% and 18.7% strongly agreed and agreed that many diseases can be prevented if wastes are properly managed. Refuse containers in Ijebu-Ode Township are inadequate and the available ones were located far away from the users as identified by 50.9% and 28.7% who strongly agreed and agreed respectively, while 10.9% and 9.6% strongly disagreed and disagreed. 77.4% and 11.3% strongly agreed and agreed that residents of Ijebu-Ode Township dump refuse in the surrounding areas when the skips in their neighborhood are full to the brim, while 3.9% and 7.4% strongly disagreed and disagreed, respectively. Refuse skips are seen with refuse overflow in strategic locations because refuse collectors do not empty them regularly as strongly agreed and agreed by 55.2% and 25.7% respectively, while 7.8% and 11.3% strongly disagreed and disagreed. Table 3: Responses on Waste Disposal and Management Problems in Ijebu-Ode Township (N = 230) S/N Variables SA (Freq, %) A (Freq, %) SD (Freq, %) D (Freq, %) 1 Environmental awareness is an essential component of effective waste management 177, 77% 44, 19.1% 3, 1.3% 6, 2.6% 2 Residents of Ijebu-Ode Township do not have regular doses of environmental education on waste management 96, 41.7% 54, 23.5% 36, 15.7% 44, 19.1% 3 The Monthly environmental sanitation exercise has positively impacted the level of environmental quality in Ijebu-Ode Town 122, 53.0% 28, 12.2% 54, 23.5% 26, 11.3% 4 The staff strength of Environmental sanitation workers in Ijebu-Ode Township is inadequate for proper waste management 137, 59.6% 52, 22.6% 17, 7.4% 24, 10.4% 5 A single waste management organization can oversee the operational service of waste management in Ijebu-Ode Township 93, 40.4% 42, 18.3% 27, 11.7% 68, 29.6% 6 Influx of people into Ijebu-Ode Town has tremendously contributed to massive waste generation 113, 49.1% 69, 30% 23, 10% 25, 10.9% 7 Many diseases can be prevented if wastes are properly managed 156, 67.8% 43, 18.7% 17, 7.4% 14, 6.1% 8 Wastes should be disposed-off in designated collection points 132, 53.4% 73, 31.7% 17, 7.4% 8, 3.5% 9 Refuse containers in Ijebu-Ode Township are inadequate and the available ones are located far from the users 117, 50.9% 66, 28.7% 25, 10.9% 22, 9.6% 10 Government is not doing enough to educate Ijebu-Ode residents on waste management 97, 42.2% 42, 18.3% 56, 24.3% 35, 15.2% 11 Residents of Ijebu-Ode Township dump refuse in the surrounding areas when the skips in their neighborhood are full 178, 77.4% 26, 11.3% 9, 3.9% 17, 7.4% 12 Waste dump sites are breeding grounds for disease vectors 157, 68.3% 71, 30.9% –, – 2, 0.87% 13 Refuse skips are seen with refuse overflow in strategic locations because refuse collectors do not empty them regularly 127, 55.2% 59, 25.7% 18, 7.8% 26, 11.3% 14 Residents of Ijebu-Ode Township need to cooperate with environmental health workers to achieve proper waste management 142, 61.7% 57, 24.8% 19, 8.3% 12, 5.2% Note: Frequencies and percentages are based on a total sample size of N = 230. 3.4 Hypothesis 1: Effectiveness of Waste Management H₀: Waste management in Ijebu-Ode Township is not effective. H₁: Waste management in Ijebu-Ode Township is effective. Chi-Square Analysis: Item SA A SD D 2 177 44 3 6 7 156 43 17 14 8 132 73 17 8 9 117 66 25 22 13 127 59 18 26 15.23+8.9+11.9+33.15 X 2 cal= 69.18 Degree of freedom = (c-1) (r-1) Where c = Numbers of columns r = Numbers of rows Df = (5-1) (4-1) = 4x3 Df = 12 At 0.05 x level of significance, the table value = 21.026 Decision Rule Since X 2 cal (69.18) ≥ X 2 tab (21.026), H 0 is thus rejected while H 1 is accepted. Decision: Reject H₀, accept H₁. Waste management in Ijebu-Ode Township is effective In assessing the level of knowledge and effectiveness of waste management in Ijebu-Ode Township, the respondents questions were asked such as, is environmental awareness an essential component of effective waste management. The respondents were also asked if refuse skips are seen with refuse overflow in strategic locations because refuse collectors do not empty them regularly. Table 4 dealt with respondents’ knowledge and effectiveness of waste management in Ijebu-Ode Township. Based on the study analysis, which shows that X 2 calculated value of 69.18 is higher than the critical value of 21.026. For this reason, the null hypothesis (H 0 ) is rejected while the alternative hypothesis (H 1 ) which states that there is effective waste management in Ijebu-Ode Township is therefore accepted. This therefore implies that, there is effective waste management in Ijebu-Ode Township. The study results buttressed the fact that the respondents had substantial knowledge and effectiveness of waste management in Ijebu-Ode Township. Hypothesis 2: Relationship Between Personnel Availability and Waste Management Effectiveness H₀: No significant relationship exists between availability of personnel and effectiveness of waste management. H₁: A significant relationship exists. Chi-Square Analysis: Item SA A SD D 4 137 52 17 24 5 93 42 27 68 10 97 42 56 35 11 178 26 9 17 12 157 71 0 2 41.58+23.39+152.79+83.99 X 2 cal= 301.75 Degree of freedom = (c-1) (r-1) Where c = Numbers of columns r = Numbers of rows Df = (5-1) (4-1) = 4x3 Df = 12 At 0.05 x level of significance, the table value = 21.026 Decision Rule Since X 2 cal (301.75) ≥ X 2 tab (21.026), H 0 is thus rejected while H 1 is accepted. In evaluating the significant relationship between effective waste management and inadequate waste management personnel in Ijebu-Ode Township, the respondents were asked if staff strength of environmental sanitation workers in Ijebu-Ode Township is inadequate for proper waste management. Equally, the respondents were also asked if a single waste management organization can oversee the operational service of waste management in Ijebu-Ode Township. Attitudes were also measured by asking if residents of Ijebu-Ode Township dump refuse in the surrounding areas when the skips in their neighborhood are full to the brim. Table 5 dealt with respondents’ significant relationship between effective waste management and inadequate waste management personnel in Ijebu-Ode Township. Based on the study analysis, which shows that X 2 calculated value of 301.75 is higher than the critical value of 21.026. For this reason, the null hypothesis (H 0 ) is rejected while the alternative hypothesis (H 1 ) which states that there is significant relationship between effective waste management and inadequate waste management personnel in Ijebu-Ode Township is therefore accepted. Decision: Reject H₀, accept H₁. Personnel availability significantly influences waste management effectiveness. Hypothesis 3: Impact of Monthly Environmental Sanitation Exercises H₀: Monthly sanitation exercises have no significant impact. H₁: Monthly sanitation exercises have significant impact. Chi-Square Analysis: Item SA A SD D 1 177 44 3 6 3 122 28 54 26 6 113 69 23 25 14 142 57 19 12 17.43+18.75+55.12+16.83 X 2 cal= 108.13 Degree of freedom = (c-1) (r-1) Where c = Numbers of columns r = Numbers of rows Df = (4-1) (4-1) = 3x3 Df = 9 At 0.05 x level of significance, the table value = 16.919 Decision Rule Since X 2 cal (108.13) ≥ X 2 tab (16.919), H 0 is thus rejected while H 1 is accepted. For impact of Monthly environmental sanitation exercise on sanitation situation in Ijebu-Ode Township, by the respondents, they were asked questions such as; if environmental awareness is an essential component of effective waste management. They were also asked if the Monthly environmental sanitation exercise has positively impacted on the level of environmental quality in Ijebu-Ode Town. Inclusively, the respondents were asked if influx of people into Ijebu-Ode Town has tremendously contributed to massive waste generation. Finally, they were asked if there is a need to cooperate with environmental health workers in order to achieve proper waste management. From Table 6 above shows significant impact of Monthly environmental sanitation exercise on sanitation situation in Ijebu-Ode Township. According to the study which shows that X 2 calculated value of 108.13 is higher than the critical value of 16.919. For this reason, the null hypothesis (H 0 ) is rejected while the alternative hypothesis (H 1 ) which states that there is significant impact of Monthly environmental sanitation exercise on sanitation situation in Ijebu-Ode Township is therefore accepted. Decision: Reject H₀, accept H₁. Monthly sanitation exercises significantly improve sanitation. Hypothesis 4: Contributions of Waste Managers and Provision of Resources H₀: The contributions of waste managers and the provision of resources do not significantly influence waste disposal and management. H₁: The contributions of waste managers and the provision of resources significantly influence waste disposal and management. Chi-Square Analysis: = 17.15 + 7.43 + 25.16 + 90.63 \approx 140.37] X 2 cal= 140.37 Degree of freedom = (c-1) (r-1) Where c = Numbers of columns r = Numbers of rows Df = (3-1) (4-1) = 2x3 Df = 6 At 0.05 x level of significance, the table value = 12.592 Decision Rule: Reject H₀, accept H₁. The contributions of waste managers and the provision of resources significantly influence waste disposal and management in Ijebu-Ode Township. The analysis indicates that respondents recognize the important role of waste managers and the provision of necessary resources in ensuring proper waste management. Items such as whether a single waste management organization can oversee operations, whether waste dump sites are breeding grounds for disease vectors, and the cooperation of residents with environmental health workers, all contribute significantly to the effectiveness of waste disposal and management. This confirms that both managerial efforts and resource allocation are key determinants of effective waste management in Ijebu-Ode Township. 4. CONCLUSION The study has systematically examined waste management practices and challenges in Ijebu-Ode Township, revealing several critical insights. From the 250 administered questionnaires, 230 valid responses were analyzed, indicating a high response accuracy of 92%, which reflects the reliability of the collected data. Demographically, the study showed that waste disposal activities are primarily undertaken by middle-aged and older residents, with a diverse educational and occupational profile, ranging from individuals with no formal education to those with postgraduate qualifications, and from students to self-employed and civil servants. The analysis of common waste disposal and management problems highlighted significant gaps in environmental awareness, infrastructure, and personnel availability. A substantial majority of respondents (77% strongly agreed, 19.1% agreed) recognized environmental awareness as a key component of effective waste management, yet 41.7% and 23.5% indicated that regular environmental education is lacking. Issues such as inadequate refuse containers, overflowing skips, and irregular waste collection were also prominent, confirming that operational inefficiencies continue to hinder optimal waste management. The hypotheses tested in the study provide further clarity on the dynamics of waste management in the township. First, the effectiveness of waste management was confirmed (χ²_cal = 69.18 > χ²_tab = 21.026), indicating that despite the challenges, existing waste management initiatives have achieved measurable outcomes. Second, personnel availability was shown to significantly influence waste management effectiveness (χ²_cal = 301.75 > χ²_tab = 21.026), underscoring the critical role of adequate staffing in operational efficiency. Third, the impact of Monthly Environmental Sanitation Exercises was significant (χ²_cal = 108.13 > χ²_tab = 16.919), demonstrating that these exercises contribute meaningfully to environmental quality and public health. Finally, the contributions of waste managers and the provision of resources were found to significantly influence waste disposal and management (χ²_cal = 140.37 > χ²_tab = 12.592), highlighting that managerial leadership and resource allocation are central to effective waste management. Generally, the findings indicate that while waste management in Ijebu-Ode Township is effective, it is highly dependent on adequate personnel, structured sanitation exercises, community cooperation, and the strategic contributions of waste managers supported by sufficient resources. To enhance sustainability, there is a need for continued environmental education, improved waste management infrastructure, and the reinforcement of staff strength to cope with increasing waste generation driven by population influx. These results provide a robust basis for policy interventions aimed at optimizing waste management practices and promoting environmental health in Ijebu-Ode Township. 5. RECOMMENDATION Findings from this study, these recommendations will help to eradicate the waste disposal and management problems faced by the people of Ijebu-Ode inhabitants. There is a need for proper orientation of the entire citizenry in Ijebu-Ode Township on the extremely serious consequence of improper waste management. There is urgent need to increase the numerical strength of public health officer in order to monitor waste disposal and attainment of clean environment. The government should provide adequate fund and necessary equipment or machineries for effective and efficient waste disposal management. The waste generated by Ijebu-Ode residents should be adequate managed and possibly turn same into manure for agricultural purposes. The newly re-introduced Monthly environmental sanitation exercise in Ogun State is a welcome development, but efforts should be made for strict compliance by Ijebu-Ode residents. It is hoped that these recommendations, if taken by the government, at all levels and the inhabitants themselves, would help address the waste disposal and management problems in Ijebu - Ode Township and the nation at large. Declarations Ethical statement The study was conducted in accordance with applicable ethical standards and approved by the appropriate institutional review board/ethics committee where required. Informed consent was obtained from all participants, and all data have been handled in compliance with relevant privacy and confidentiality regulations. The authors declare no conflicts of interest. Competing Interests The authors declare no conflicts of interest. Consent to participate Declaration All participants provided informed consent prior to their involvement. Consent to publish Declaration: Not Applicable Funding This research did not receive any specific grant from funding agencies in the public, commercial, non-profit sectors. Data Availability The data generated in the present study are included in the article and available from the corresponding author on request. Ethical Issues Authors have declared no ethical issues in the manuscript. References Slue, J. D. (2009). What a waste: A global review of solid waste management (Urban Development Series; Knowledge Papers No. 15). World Bank. Adedibu, A. A. (1982). Solid waste characteristics and management in Ilorin. Journal of the Nigerian Institute of Town Planners , 3 (1), 1–15. Tim, S. R. (2008). The principles of waste management in developed nations. International Journal of Policy and Sustainable Development , 5 (2), 25–34. Aderogba, K. A. (2005). Urban climate and thermal conformability . Agunwamba, J. C. (2003). Environmental education and awareness for effective environmental protection and management in Nigeria. Journal of the Nigerian Institute of Town Planners , 12 , 1–13. Akerele, S. I. (1991). Environmental education communication for a sustainable world: A handbook for international practitioners . Academy for Educational Development. Vijic, G., & Milovanovic, D. (2012). Waste management: Direction of future scientific research. Recycling and Sustainable Development , 5 (1), 30–38. Akinbowale, B. J. (2000). Geomorphology in environmental management: An introduction . Oxford University Press. Anger, R. A., & Smith, J. S. (1998). Household participation in domestic waste disposal and recycling (Unpublished master’s thesis). University of South Africa. Odufuwa, B. A., Odufuwa, B. O., Ediale, M. O., & Oriola, S. (2012). Household participation in waste disposal and management in Ijebu-Ode, Nigeria. Journal of Human Ecology , 38 (2), 185–194. https://doi.org/10.1080/09709274.2012.11906543 Buckle, P. A., & Smith, J. S. (2000). Solid waste handling in metropolitan areas . U.S. Public Health Service. Solaja, O. M., Omodehin, A. O., & Badejo, B. A. (2017). Socio-ecologies of solid waste in Ijebu-Ode, Ogun State, Nigeria. Recycling and Sustainable Development , 10 , 1–8. Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9020873","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":600031709,"identity":"b0c2532f-c0f0-4a5d-ba71-c2448296b753","order_by":0,"name":"Olasunkanmi Olalekan OLAIYA","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8UlEQVRIiWNgGAWjYHACxgMMBgwM/CBmgg2YJKwHrEWyAaQ4jWgtQGAAJonRws/efODAj4LD8sbHm59JPAC6jJ89x4C54BduLZI9xxIO9hgcNtx25piZRALQZZI9bwyYZ/bh1mJwI8fgAI/BYcZtNxLMJBJ/HAaLMPP24Ndy8I/BYfvNM9K/AW35z2BPjJbDQFsSN0jkgBwGDD0JoBaeH/j9cljGID15xpkzxRYJCck8EmeeFRzmbcCtBRhiBx+++WNt29/evvHmjwQ7Of725I2Pef7g1gIFzXAWD4g4wNhGUEsdugBhW0bBKBgFo2DkAAAmgVYiDV6OgQAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-6012-0237","institution":"Institute of Ecology and Environmental Studies, Obafemi Awolowo University, Ile-Ife, Nigeria","correspondingAuthor":true,"prefix":"","firstName":"Olasunkanmi","middleName":"Olalekan","lastName":"OLAIYA","suffix":""},{"id":600031710,"identity":"7dccff66-0512-4eee-806e-eb1ed76abcaa","order_by":1,"name":"Adijat Oluwatoyin AYANDA","email":"","orcid":"","institution":"Department of Science, Technology and Mathematics Education, Osun State University, Osogbo","correspondingAuthor":false,"prefix":"","firstName":"Adijat","middleName":"Oluwatoyin","lastName":"AYANDA","suffix":""},{"id":600031711,"identity":"c25a730b-e820-4605-be22-1c334a52a150","order_by":2,"name":"Akeem Adedeji ADETUNJI","email":"","orcid":"","institution":"Department of Science and Technology Education, Obafemi Awolowo University, Ile-Ife, Nigeria","correspondingAuthor":false,"prefix":"","firstName":"Akeem","middleName":"Adedeji","lastName":"ADETUNJI","suffix":""}],"badges":[],"createdAt":"2026-03-03 13:48:52","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":true,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":true},"doi":"10.21203/rs.3.rs-9020873/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9020873/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104401762,"identity":"d1775e4d-d52f-496e-8c3f-cc50130959ec","added_by":"auto","created_at":"2026-03-11 12:13:29","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1250039,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9020873/v1/1d953f26-9363-49cf-bf57-d91812e483e2.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003ePerceived Knowledge and Attitude of Ijebu-Ode Inhabitants Regarding Waste Disposal and Management Problems: A Study of Ijebu-Ode Township, Ogun State, Nigeria\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"1. INTRODUCTION","content":"\u003cp\u003eOne of the greatest environmental problems that pose a grave challenge to urban centres is waste disposal management. Today, the issue of waste disposal constitutes a major urban environmental paralysis; a clog in the wheel of progress in terms of urban environmental purity and sanitation. The deterioration of urban environment in terms of irresponsibly dumped and accumulated waste is most apparent in our urban lives and blighted environment have often been cited and voted as contributing causes of the Nigeria urban decay [1]. In Ijebu-Ode town, waste problem have gained notoriety because of its visibility and general degradation of the environment. It is a common site to find mounds of waste in many places, besides, the wastes are scattered in gutters, street corners and road sides of Ijebu-Ode Township.\u003c/p\u003e\n\u003cp\u003eA major consequence of rapid urbanization and industrialization is the growing generation of waste which has continued to pose serious problems due to enormous waste generated in every municipality like Ijebu-Ode town, the focus of this research project. The problem of waste is critical as the disposal facilities have not been able to keep pace with the quantum of waste been generated; hence, there is no formal waste collection system [2, 3]. Ijebu-Ode municipal waste authorities face unprecedented challenges in managing their waste and these has continued to pose serious challenges due to the absence of an appropriate and organized waste disposal management culture and technology which arises largely from financial constraints, inadequate skilled manpower, and this is due to the fact that Ijebu-Ode town has almost choked up as a result of the process of urbanization and industrialization which is one of the major features of the 21\u003csup\u003est\u003c/sup\u003e century [4].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIjebu Ode is a city located in located in Ijebu-Ode Local Government Area of Ogun State, South-Western Nigeria, with an estimated population of 222, 653 [5]. Ijebu-Ode local Government covers an area of 13,394 hectares of land, making it one of the largest local Governments in the state. It is located between latitude 6\u003csup\u003e0\u003c/sup\u003e49\u0026rsquo;N and 15\u003csup\u003e0\u003c/sup\u003eN, and between longitude 3\u003csup\u003e0\u003c/sup\u003e55\u0026rsquo;E and 05\u003csup\u003e0\u003c/sup\u003eE of the Greenwich meridian. It is bounded in the North by the Ijebu-East local Government, while in the South by Lagos State and Odogbolu Local Government to the Western side of the local Government. The climate condition experiences in Ijebu-Ode region mirrors the climate of Nigeria. Ijebu-Ode experiences humid tropical climate characterized with two distinct seasons: the rainy season (March/April to October/November) and dry season (November to March). Ijebu-Ode has an average temperature of 30 \u003csup\u003eo\u003c/sup\u003eC throughout the year and an annual range between 6\u003csup\u003e\u0026nbsp;o\u003c/sup\u003eC \u0026ndash; 10 \u003csup\u003eo\u003c/sup\u003eC [6, 7]. Ijebu-Ode is situated on an undulating topography with an average height of 10m 700ft above the sea level. It is underlain by igneous and sedimentary rocks of the plagioclase type [8].\u003c/p\u003e\n\u003cp\u003eFrom all indications, solid waste management problems in Ijebu-Ode remain more persistent and pronounced when compared with several other towns in Ogun State and many Nigerian cities. This persistence can be attributed to a combination of historical, socio-economic, spatial, infrastructural, and institutional factors that uniquely characterize the town [1, 6, 8]. Firstly, rapid population growth and unplanned urban expansion in Ijebu-Ode have outpaced the capacity of municipal waste management systems. The town has experienced significant urbanization without a corresponding improvement in land-use planning and waste infrastructure [2, 7]. Many residential areas, especially older core neighborhoods, developed organically with narrow road networks, making access for waste collection vehicles difficult or impossible [1, 8]. In contrast, newer towns and state-planned urban centers in Ogun State benefit from relatively better road layouts and planned residential schemes, which facilitate more efficient waste collection [3].\u003c/p\u003e\n\u003cp\u003eHousing conditions in Ijebu-Ode contribute significantly to waste management challenges. A high proportion of residents live in overcrowded and poorly maintained housing units lacking adequate sanitation facilities [1]. The prevalence of informal housing arrangements increases indiscriminate waste disposal, as households often lack designated waste storage spaces [6]. This situation is compounded by limited access to potable water, which encourages unsanitary practices and the accumulation of refuse around residential areas, thereby worsening environmental health conditions [4]. Institutional and governance limitations play a critical role. Waste management agencies operating in Ijebu-Ode often face constraints related to inadequate funding, insufficient manpower, and limited operational equipment [5, 7]. These challenges reduce the frequency and coverage of waste collection services, leading to the proliferation of illegal dumpsites [8]. Compared to larger cities within Ogun State that receive greater fiscal attention or private sector participation, Ijebu-Ode remains underserved in terms of modern waste management interventions [6].\u003c/p\u003e\n\u003cp\u003eIn addition, socio-economic characteristics of the population further exacerbate the problem. A substantial segment of the town\u0026rsquo;s residents engage in informal economic activities, which generate diverse waste streams without structured disposal mechanisms [6]. Low household income levels also limit residents\u0026rsquo; willingness and ability to pay for waste collection services, thereby reducing cost recovery for waste management agencies and weakening service sustainability [7]. Public awareness and environmental education remain relatively weak. Although residents are generally aware of the health implications of poor waste management, compliance with waste disposal regulations is low due to ineffective enforcement and limited community participation [3, 4]. In other cities where waste management has improved, stronger community engagement, public enlightenment campaigns, and enforcement mechanisms have proven effective in changing waste disposal behavior [7]. The interaction between inadequate housing, poor water supply, and ineffective waste management creates a reinforcing cycle of environmental degradation in Ijebu-Ode. Unsanitary neighborhoods become hotspots for indiscriminate dumping, blocked drainage channels, and recurrent flooding, further complicating waste evacuation efforts [2, 8]. This interconnected nature of urban problems explains why waste management challenges in Ijebu-Ode persist despite ongoing interventions by municipal authorities [6].\u003c/p\u003e\n\u003cp\u003eTherefore, the health impacts of the latter problem cannot be farfetched as the incidence of typhoid and malaria fever attacks the residents which can be attributed largely to deterioration of their immediate environment. Furthermore, due to rapid urbanization, the provision of infrastructural facilities is not enough to serve the growing population. In effect, most of the available services are often overstretched and this has posed a serious problem to Ijebu-Ode inhabitants. Waste management in Ijebu-Ode town have defiled various solutions mainly due to poor infrastructural facilities, inadequate and untrained manpower, meagre finance and burgeoning urban population, coupled with lack of adequate awareness on part of the general public of Ijebu-Ode town on management of waste from various sources.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSTATEMENT OF THE PROBLEM\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIndiscriminate waste disposal remains a significant environmental challenge in Ijebu-Ode, where heaps of refuse are visible in many parts of the town. A considerable proportion of the waste generated is disposed of along roadsides, at unauthorized dump sites, in waterways, and in open spaces, thereby reducing environmental quality and cleanliness. Improper waste collection and disposal pose serious threats to public health and have adverse effects on flora, fauna, and the overall environment [9, 10]. The current state of waste management in Ijebu-Ode has been attributed to several factors, including inadequate waste management facilities, insufficient funding, weak policy implementation, and unsustainable consumption patterns. According to [11], challenges in effective waste management are often linked to inefficiencies in social service delivery, which result in delays in waste clearance. These challenges may stem from equipment breakdowns, poor maintenance of waste storage facilities, deteriorated urban roads, and inconsistencies in the designation and management of sanitary landfill sites.\u003c/p\u003e\n\u003cp\u003eDespite growing attention to waste management issues, challenges related to waste collection, disposal, processing, treatment, recycling, and utilization persist. These challenges are not only infrastructural but also behavioral in nature, as residents\u0026rsquo; attitudes and waste disposal practices play an important role in shaping waste management outcomes. Studies suggest that waste disposal habits, alongside inadequate equipment and institutional constraints, continue to hinder effective waste management in Ijebu-Ode [12]. The consequences of these challenges include blocked drainage systems, flooding, air pollution, public health risks, and a decline in environmental aesthetics and community pride.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOBJECTIVES OF THE STUDY\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe main objective of this study is to assess the knowledge, attitudes, and practices of residents regarding waste disposal and management in Ijebu-Ode Township.\u003c/p\u003e\n\u003cp\u003eThe study also seeks to:\u003c/p\u003e\n\u003cp\u003e1.\u0026nbsp; \u0026nbsp;\u0026nbsp;Examine the effectiveness of current waste management practices in Ijebu-Ode Township.\u003c/p\u003e\n\u003cp\u003e2.\u0026nbsp; \u0026nbsp;\u0026nbsp;Determine the relationship between the availability of waste management personnel and the effectiveness of waste management.\u003c/p\u003e\n\u003cp\u003e3.\u0026nbsp; \u0026nbsp;\u0026nbsp;Assess the impact of monthly environmental sanitation exercises on the sanitation situation in Ijebu-Ode Township.\u003c/p\u003e\n\u003cp\u003e4.\u0026nbsp; \u0026nbsp;\u0026nbsp;Evaluate the role of waste managers and the provision of resources in improving waste disposal and management.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRESEARCH QUESTIONS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e1.\u0026nbsp; \u0026nbsp;\u0026nbsp;What is the level of knowledge and awareness of residents regarding waste disposal and management in Ijebu-Ode Township?\u003c/p\u003e\n\u003cp\u003e2.\u0026nbsp; \u0026nbsp;\u0026nbsp;What are the attitudes and perceptions of residents toward proper waste management practices?\u003c/p\u003e\n\u003cp\u003e3.\u0026nbsp; \u0026nbsp;\u0026nbsp;How effective are the current waste management practices in Ijebu-Ode Township?\u003c/p\u003e\n\u003cp\u003e4.\u0026nbsp; \u0026nbsp;\u0026nbsp;To what extent does the availability of waste management personnel influence the effectiveness of waste management?\u003c/p\u003e\n\u003cp\u003e5.\u0026nbsp; \u0026nbsp;\u0026nbsp;How do waste managers and the provision of resources contribute to effective waste disposal and management in Ijebu-Ode Township?\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRESEARCH HYPOTHESES\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eH₀: Waste management in Ijebu-Ode Township is not effective.\u003c/p\u003e\n\u003cp\u003eH₁: Waste management in Ijebu-Ode Township is effective.\u003c/p\u003e\n\u003cp\u003eH₀: There is no significant relationship between the availability of waste management personnel and the effectiveness of waste management.\u003c/p\u003e\n\u003cp\u003eH₁: There is a significant relationship between the availability of waste management personnel and the effectiveness of waste management.\u003c/p\u003e\n\u003cp\u003eH₀: Monthly environmental sanitation exercises have no significant impact on the sanitation situation.\u003c/p\u003e\n\u003cp\u003eH₁: Monthly environmental sanitation exercises have a significant impact on the sanitation situation.\u003c/p\u003e\n\u003cp\u003eH₀: The contributions of waste managers and the provision of resources do not significantly influence waste disposal and management.\u003c/p\u003e\n\u003cp\u003eH₁: The contributions of waste managers and the provision of resources significantly influence waste disposal and management.\u003c/p\u003e"},{"header":"2. MATERIALS AND METHODOLOGY","content":"\u003cp\u003eThe study employed a descriptive survey method to assess the knowledge regarding waste disposal and management problems in Ijebu-ode Township, Ogun state, Nigeria. The target population comprised of the residents of five randomly selected locations of Ijebu-Ode Township which are, Igbeba area/ Oke-Aje Market, Ondo-Road, Balogun Kuku Road, Omo-Owo Road and Ereko Road. The sampling method used for this study was simple random sampling while the sample population size consisted of Two hundred and Fifty (250) respondents from the study area. The questionnaire contained closed and open ended questions and they were self – administered 250 questionnaires. All the responses from each of the completed questionnaire were coded and analyzed. The data collected were computed and analyzed using frequency counts, simple percentage analysis and Chi-Square statistical method. Simple percentage analysis was used to explain the demographic characteristics of the respondents. \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/p\u003e"},{"header":"3. RESULTS AND DISCUSSION","content":"\u003cp\u003e\u003cstrong\u003e3.1 \u0026nbsp;Analysis of returned questionnaires\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFifty (50) questionnaires were administered in each of the selected locations (as shown in Table 1), this is due to the geographical areas having dense population and this has contributed to massive waste generation by the inhabitants of the various geographical locations in Ijebu-Ode Township. A total of Twenty (20) copies of the questionnaire were not properly filled and thus were discarded. Therefore, data analysis for this research was exclusively based on the information derived from Two hundred and thirty (230) copies of the questionnaire that were correctly filled and retrieved.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1: Analysis of Returned Questionnaires\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"693\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRandomly selected locations in Ijebu-Ode\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumbers of questionnaires filled\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 106px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumbers correctly filled\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumbers incorrectly filled\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;Simple % correctly filled\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSimple % incorrectly filled\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003eIgbeba Area/ Oke-Aje Market\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 106px;\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e86%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e14%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003eOndo-Road\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 106px;\"\u003e\n \u003cp\u003e47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e94%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003eBalogun Kuku Road\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 106px;\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e98%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003eOmo-Owo Road\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 106px;\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e92%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003eEreko Road\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 106px;\"\u003e\n \u003cp\u003e45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e90%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e10%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 139px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTOTAL\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e250\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 106px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e230\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e20\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e92%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e8%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e3.2 \u0026nbsp;Demographic characteristics of the Ijebu-ode inhabitants\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe demographic characteristics of the 250 Ijebu-ode township inhabitants are shown in Table 2. 28.3% and 33.04% were respectively between the 40 \u0026ndash; 49 and 50 above age bracket. This indicate that majority of the people that were involved in waste disposal are mainly of middle and the aged people. Thirty-nine (39) of the respondents representing 17% had no formal education, forty-four (44) of the respondents representing 19.1% obtained primary school leaving certificate, forty-five (45) of the respondents representing 19.6% had SSCE/O \u0026rsquo;Level certificate, forty-two (42) of the respondents representing 18.3% had OND/NCE, and forty-eight (48) of the respondents representing 20.9% had B.Sc./HND, ten (10) of the respondents representing 4.3% had M.Sc./MA and two (2) of the respondents representing 0.87% had other educational qualifications. Fifty-seven (57) respondents representing 24.8% were students, thirty-four (34) respondents representing 14.8% were traders, forty-eight (48) respondents representing 20.9% were civil servants, sixty-three (63) respondents representing 27.4% were self-employed and twenty-eight (28) of the respondents representing 12.1% were others i.e. unemployed. However, Table 2 which describes employment distribution does not reflect educational background of the respondents.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2: Demographic Characteristics of the Ijebu-Ode inhabitants\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"Left\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eS/N\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency N=230\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSimple %\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e1.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eAge (Years)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003e20 \u0026ndash; 29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e17.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003e30 \u0026ndash; 39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e21.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003e40 \u0026ndash; 49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e28.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003e50 - above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e33.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e230\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e2.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eLevel of Education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eNo formal Education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e17%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003ePry. School leaving cert.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e19.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eSSCE\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e19.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eOND/NCE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e18.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eB.Sc./HND\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e20.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eM.Sc./MA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e4.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eOthers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e0.87%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e230\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e3.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eEmployment status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eStudent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e24.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eTrading\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e14.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eCivil Servant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e20.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eSelf Employed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e27.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eOthers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e12.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 39px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 146px;\"\u003e\n \u003cp\u003e230\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003e3.3.\u0026nbsp;Common waste disposal and management problems\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 3 shows the common waste disposal and management problems, 77% and 19.1% strongly agreed and agreed respectively that environmental awareness is an essential component of effective waste management, while 1.3% and 2.6% strongly disagreed and disagreed. 41.7% and 23.5% strongly agreed and agreed respectively to the claim that residents of Ijebu-Ode Township do not have regular doses of environmental education on waste management. The Monthly environmental sanitation exercise has positively impacted on the level of environmental quality in Ijebu-Ode Town as strongly agreed and agreed by 53% and 12.2% respectively, while 23.5% and 11.3% strongly disagreed and disagreed. 59.6% and 22.6% strongly agreed and agreed respectively that the staff strength of environmental sanitation workers in Ijebu-Ode Township is inadequate for proper waste management, while 7.4% and 10.4% strongly disagreed and disagreed. Influx of people into Ijebu-Ode Town has tremendously contributed to massive waste generation as strongly agreed and agreed respectively by 49.1% and 30%, and 10% strongly disagreed and disagreed respectively. 67.8% and 18.7% strongly agreed and agreed that many diseases can be prevented if wastes are properly managed. Refuse containers in Ijebu-Ode Township are inadequate and the available ones were located far away from the users as identified by 50.9% and 28.7% who strongly agreed and agreed respectively, while 10.9% and 9.6% strongly disagreed and disagreed. 77.4% and 11.3% strongly agreed and agreed that residents of Ijebu-Ode Township dump refuse in the surrounding areas when the skips in their neighborhood are full to the brim, while 3.9% and 7.4% strongly disagreed and disagreed, respectively. Refuse skips are seen with refuse overflow in strategic locations because refuse collectors do not empty them regularly as strongly agreed and agreed by 55.2% and 25.7% respectively, while 7.8% and 11.3% strongly disagreed and disagreed.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3:\u003c/strong\u003e Responses on Waste Disposal and Management Problems in Ijebu-Ode Township (N = 230)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"3\" cellpadding=\"0\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eS/N\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eSA (Freq, %)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eA (Freq, %)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eSD (Freq, %)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eD (Freq, %)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eEnvironmental awareness is an essential component of effective waste management\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e177, 77%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e44, 19.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e3, 1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e6, 2.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eResidents of Ijebu-Ode Township do not have regular doses of environmental education on waste management\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e96, 41.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e54, 23.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e36, 15.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e44, 19.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe Monthly environmental sanitation exercise has positively impacted the level of environmental quality in Ijebu-Ode Town\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e122, 53.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e28, 12.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e54, 23.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e26, 11.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe staff strength of Environmental sanitation workers in Ijebu-Ode Township is inadequate for proper waste management\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e137, 59.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e52, 22.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e17, 7.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e24, 10.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eA single waste management organization can oversee the operational service of waste management in Ijebu-Ode Township\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e93, 40.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e42, 18.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e27, 11.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e68, 29.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eInflux of people into Ijebu-Ode Town has tremendously contributed to massive waste generation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e113, 49.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e69, 30%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e23, 10%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e25, 10.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eMany diseases can be prevented if wastes are properly managed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e156, 67.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e43, 18.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e17, 7.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e14, 6.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eWastes should be disposed-off in designated collection points\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e132, 53.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e73, 31.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e17, 7.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e8, 3.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eRefuse containers in Ijebu-Ode Township are inadequate and the available ones are located far from the users\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e117, 50.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e66, 28.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e25, 10.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e22, 9.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eGovernment is not doing enough to educate Ijebu-Ode residents on waste management\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e97, 42.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e42, 18.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e56, 24.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e35, 15.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eResidents of Ijebu-Ode Township dump refuse in the surrounding areas when the skips in their neighborhood are full\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e178, 77.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e26, 11.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e9, 3.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e17, 7.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eWaste dump sites are breeding grounds for disease vectors\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e157, 68.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e71, 30.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026ndash;, \u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e2, 0.87%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eRefuse skips are seen with refuse overflow in strategic locations because refuse collectors do not empty them regularly\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e127, 55.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e59, 25.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e18, 7.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e26, 11.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eResidents of Ijebu-Ode Township need to cooperate with environmental health workers to achieve proper waste management\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e142, 61.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e57, 24.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e19, 8.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e12, 5.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cem\u003eNote: Frequencies and percentages are based on a total sample size of N = 230.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.4 \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/strong\u003eHypothesis 1: Effectiveness of Waste Management\u003c/p\u003e\n\u003cp\u003eH₀: Waste management in Ijebu-Ode Township is not effective.\u003c/p\u003e\n\u003cp\u003eH₁: Waste management in Ijebu-Ode Township is effective.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eChi-Square Analysis:\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"Left\"\u003e\n \u003ctable border=\"0\" cellspacing=\"3\" cellpadding=\"0\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003eSA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 35px;\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003eD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e177\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 35px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e156\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 35px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e132\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003e73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 35px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e117\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003e66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 35px;\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e127\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 49px;\"\u003e\n \u003cp\u003e59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 35px;\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e15.23+8.9+11.9+33.15\u003c/p\u003e\n\u003cp\u003eX\u003csup\u003e2\u003c/sup\u003e cal= 69.18\u003c/p\u003e\n\u003cp\u003eDegree of freedom = (c-1) (r-1)\u003c/p\u003e\n\u003cp\u003eWhere c = Numbers of columns\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; r = Numbers of rows\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Df = (5-1) (4-1)\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;= 4x3\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Df = 12\u003c/p\u003e\n\u003cp\u003eAt 0.05 x level of significance, the table value = 21.026\u003c/p\u003e\n\u003cp\u003eDecision Rule\u003c/p\u003e\n\u003cp\u003eSince X\u003csup\u003e2\u0026nbsp;\u003c/sup\u003ecal (69.18) \u0026ge; X\u003csup\u003e2\u0026nbsp;\u003c/sup\u003etab (21.026), H\u003csub\u003e0\u0026nbsp;\u003c/sub\u003eis thus rejected while H\u003csub\u003e1\u0026nbsp;\u003c/sub\u003eis accepted.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDecision:\u003c/strong\u003e Reject H₀, accept H₁. Waste management in Ijebu-Ode Township is effective\u003c/p\u003e\n\u003cp\u003eIn assessing the level of knowledge and effectiveness of waste management in Ijebu-Ode Township, the respondents questions were asked such as, is environmental awareness an essential component of effective waste management. The respondents were also asked if refuse skips are seen with refuse overflow in strategic locations because refuse collectors do not empty them regularly.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 4 dealt with respondents\u0026rsquo; knowledge and effectiveness of waste management in Ijebu-Ode Township. Based on the study analysis, which shows that X\u003csub\u003e2\u0026nbsp;\u003c/sub\u003ecalculated value of 69.18 is higher than the critical value of 21.026. For this reason, the null hypothesis (H\u003csub\u003e0\u003c/sub\u003e) is rejected while the alternative hypothesis (H\u003csub\u003e1\u003c/sub\u003e)\u003csub\u003e\u0026nbsp;\u003c/sub\u003ewhich states that there is effective waste management in Ijebu-Ode Township is therefore accepted. This therefore implies that, there is effective waste management in Ijebu-Ode Township. The study results buttressed the fact that the respondents had substantial knowledge and effectiveness of waste management in Ijebu-Ode Township.\u003c/p\u003e\n\u003ch3\u003eHypothesis 2: Relationship Between Personnel Availability and Waste Management Effectiveness\u003c/h3\u003e\n\u003cp\u003eH₀: No significant relationship exists between availability of personnel and effectiveness of waste management.\u003c/p\u003e\n\u003cp\u003eH₁: A significant relationship exists.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eChi-Square Analysis:\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"Left\"\u003e\n \u003ctable border=\"0\" cellspacing=\"3\" cellpadding=\"0\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 82px;\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 59px;\"\u003e\n \u003cp\u003eSA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 40px;\"\u003e\n \u003cp\u003eD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 82px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 59px;\"\u003e\n \u003cp\u003e137\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 40px;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 82px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 59px;\"\u003e\n \u003cp\u003e93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;41.58+23.39+152.79+83.99\u003c/p\u003e\n\u003cp\u003eX\u003csup\u003e2\u003c/sup\u003e cal= 301.75\u003c/p\u003e\n\u003cp\u003eDegree of freedom = (c-1) (r-1)\u003c/p\u003e\n\u003cp\u003eWhere c = Numbers of columns\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; r = Numbers of rows\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Df = (5-1) (4-1)\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;= 4x3\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Df = 12\u003c/p\u003e\n\u003cp\u003eAt 0.05 x level of significance, the table value = 21.026\u003c/p\u003e\n\u003cp\u003eDecision Rule\u003c/p\u003e\n\u003cp\u003eSince X\u003csup\u003e2\u0026nbsp;\u003c/sup\u003ecal (301.75) \u0026ge; X\u003csup\u003e2\u0026nbsp;\u003c/sup\u003etab (21.026), H\u003csub\u003e0\u0026nbsp;\u003c/sub\u003eis thus rejected while H\u003csub\u003e1\u0026nbsp;\u003c/sub\u003eis accepted.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn evaluating the significant relationship between effective waste management and inadequate waste management personnel in Ijebu-Ode Township, the respondents were asked if staff strength of environmental sanitation workers in Ijebu-Ode Township is inadequate for proper waste management. Equally, the respondents were also asked if a single waste management organization can oversee the operational service of waste management in Ijebu-Ode Township. Attitudes were also measured by asking if residents of Ijebu-Ode Township dump refuse in the surrounding areas when the skips in their neighborhood are full to the brim.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 5 dealt with respondents\u0026rsquo; significant relationship between effective waste management and inadequate waste management personnel in Ijebu-Ode Township. Based on the study analysis, which shows that X\u003csub\u003e2\u0026nbsp;\u003c/sub\u003ecalculated value of 301.75 is higher than the critical value of 21.026. For this reason, the null hypothesis (H\u003csub\u003e0\u003c/sub\u003e) is rejected while the alternative hypothesis (H\u003csub\u003e1\u003c/sub\u003e)\u003csub\u003e\u0026nbsp;\u003c/sub\u003ewhich states that there is significant relationship between effective waste management and inadequate waste management personnel in Ijebu-Ode Township is therefore accepted.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDecision:\u003c/strong\u003e Reject H₀, accept H₁. Personnel availability significantly influences waste management effectiveness.\u003c/p\u003e\n\u003ch3\u003eHypothesis 3: Impact of Monthly Environmental Sanitation Exercises\u003c/h3\u003e\n\u003cp\u003eH₀: Monthly sanitation exercises have no significant impact.\u003c/p\u003e\n\u003cp\u003eH₁: Monthly sanitation exercises have significant impact.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eChi-Square Analysis:\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"Left\"\u003e\n \u003ctable border=\"0\" cellspacing=\"3\" cellpadding=\"0\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 62px;\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 50px;\"\u003e\n \u003cp\u003eSA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 67px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 40px;\"\u003e\n \u003cp\u003eD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 62px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 50px;\"\u003e\n \u003cp\u003e177\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 67px;\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 40px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 62px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 50px;\"\u003e\n \u003cp\u003e122\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 67px;\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 40px;\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 62px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 50px;\"\u003e\n \u003cp\u003e113\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 67px;\"\u003e\n \u003cp\u003e69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 40px;\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 62px;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 50px;\"\u003e\n \u003cp\u003e142\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 67px;\"\u003e\n \u003cp\u003e57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 40px;\"\u003e\n 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\"\u003e\u003c/p\u003e\n\u003cp\u003e17.43+18.75+55.12+16.83\u003c/p\u003e\n\u003cp\u003eX\u003csup\u003e2\u003c/sup\u003e cal= 108.13\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Degree of freedom = (c-1) (r-1)\u003c/p\u003e\n\u003cp\u003eWhere c = Numbers of columns\u003c/p\u003e\n\u003cp\u003er = Numbers of rows\u003c/p\u003e\n\u003cp\u003eDf = (4-1) (4-1)\u003c/p\u003e\n\u003cp\u003e= 3x3\u003c/p\u003e\n\u003cp\u003eDf = 9\u003c/p\u003e\n\u003cp\u003eAt 0.05 x level of significance, the table value = 16.919\u003c/p\u003e\n\u003cp\u003eDecision Rule\u003c/p\u003e\n\u003cp\u003eSince X\u003csup\u003e2\u0026nbsp;\u003c/sup\u003ecal (108.13) \u0026ge; X\u003csup\u003e2\u0026nbsp;\u003c/sup\u003etab (16.919), H\u003csub\u003e0\u0026nbsp;\u003c/sub\u003eis thus rejected while H\u003csub\u003e1\u0026nbsp;\u003c/sub\u003eis accepted.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFor impact of Monthly environmental sanitation exercise on sanitation situation in Ijebu-Ode Township, by the respondents, they were asked questions such as; if environmental awareness is an essential component of effective waste management. They were also asked if the Monthly environmental sanitation exercise has positively impacted on the level of environmental quality in Ijebu-Ode Town. Inclusively, the respondents were asked if influx of people into Ijebu-Ode Town has tremendously contributed to massive waste generation. Finally, they were asked if there is a need to cooperate with environmental health workers in order to achieve proper waste management.\u003c/p\u003e\n\u003cp\u003eFrom Table 6 above shows significant impact of Monthly environmental sanitation exercise on sanitation situation in Ijebu-Ode Township. According to the study which shows that X\u003csub\u003e2\u0026nbsp;\u003c/sub\u003ecalculated value of 108.13 is higher than the critical value of 16.919. For this reason, the null hypothesis (H\u003csub\u003e0\u003c/sub\u003e) is rejected while the alternative hypothesis (H\u003csub\u003e1\u003c/sub\u003e)\u003csub\u003e\u0026nbsp;\u003c/sub\u003ewhich states that there is significant impact of Monthly environmental sanitation exercise on sanitation situation in Ijebu-Ode Township is therefore accepted.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDecision:\u003c/strong\u003e Reject H₀, accept H₁. Monthly sanitation exercises significantly improve sanitation.\u003c/p\u003e\n\u003ch2\u003eHypothesis 4: Contributions of Waste Managers and Provision of Resources\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003eH₀:\u003c/strong\u003e The contributions of waste managers and the provision of resources do not significantly influence waste disposal and management.\u003cbr\u003e\u003cstrong\u003eH₁:\u003c/strong\u003e The contributions of waste managers and the provision of resources significantly influence waste disposal and management.\u003c/p\u003e\n\u003ch3\u003eChi-Square Analysis:\u003c/h3\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;= 17.15 + 7.43 + 25.16 + 90.63 \\approx 140.37]\u003c/p\u003e\n\u003cp\u003eX\u003csup\u003e2\u003c/sup\u003e cal= 140.37\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Degree of freedom = (c-1) (r-1)\u003c/p\u003e\n\u003cp\u003eWhere c = Numbers of columns\u003c/p\u003e\n\u003cp\u003er = Numbers of rows\u003c/p\u003e\n\u003cp\u003eDf = (3-1) (4-1)\u003c/p\u003e\n\u003cp\u003e= 2x3\u003c/p\u003e\n\u003cp\u003eDf = 6\u003c/p\u003e\n\u003cp\u003eAt 0.05 x level of significance, the table value = 12.592\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDecision Rule:\u003c/strong\u003e Reject H₀, accept H₁. The contributions of waste managers and the provision of resources \u003cstrong\u003esignificantly influence waste disposal and management in Ijebu-Ode Township.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe analysis indicates that respondents recognize the important role of waste managers and the provision of necessary resources in ensuring proper waste management. Items such as whether a single waste management organization can oversee operations, whether waste dump sites are breeding grounds for disease vectors, and the cooperation of residents with environmental health workers, all contribute significantly to the effectiveness of waste disposal and management. This confirms that both managerial efforts and resource allocation are key determinants of effective waste management in Ijebu-Ode Township.\u003c/p\u003e"},{"header":"4. CONCLUSION","content":"\u003cp\u003eThe study has systematically examined waste management practices and challenges in Ijebu-Ode Township, revealing several critical insights. From the 250 administered questionnaires, 230 valid responses were analyzed, indicating a high response accuracy of 92%, which reflects the reliability of the collected data. Demographically, the study showed that waste disposal activities are primarily undertaken by middle-aged and older residents, with a diverse educational and occupational profile, ranging from individuals with no formal education to those with postgraduate qualifications, and from students to self-employed and civil servants. The analysis of common waste disposal and management problems highlighted significant gaps in environmental awareness, infrastructure, and personnel availability. A substantial majority of respondents (77% strongly agreed, 19.1% agreed) recognized environmental awareness as a key component of effective waste management, yet 41.7% and 23.5% indicated that regular environmental education is lacking. Issues such as inadequate refuse containers, overflowing skips, and irregular waste collection were also prominent, confirming that operational inefficiencies continue to hinder optimal waste management.\u003c/p\u003e \u003cp\u003eThe hypotheses tested in the study provide further clarity on the dynamics of waste management in the township. First, the effectiveness of waste management was confirmed (χ\u0026sup2;_cal\u0026thinsp;=\u0026thinsp;69.18\u0026thinsp;\u0026gt;\u0026thinsp;χ\u0026sup2;_tab\u0026thinsp;=\u0026thinsp;21.026), indicating that despite the challenges, existing waste management initiatives have achieved measurable outcomes. Second, personnel availability was shown to significantly influence waste management effectiveness (χ\u0026sup2;_cal\u0026thinsp;=\u0026thinsp;301.75\u0026thinsp;\u0026gt;\u0026thinsp;χ\u0026sup2;_tab\u0026thinsp;=\u0026thinsp;21.026), underscoring the critical role of adequate staffing in operational efficiency. Third, the impact of Monthly Environmental Sanitation Exercises was significant (χ\u0026sup2;_cal\u0026thinsp;=\u0026thinsp;108.13\u0026thinsp;\u0026gt;\u0026thinsp;χ\u0026sup2;_tab\u0026thinsp;=\u0026thinsp;16.919), demonstrating that these exercises contribute meaningfully to environmental quality and public health. Finally, the contributions of waste managers and the provision of resources were found to significantly influence waste disposal and management (χ\u0026sup2;_cal\u0026thinsp;=\u0026thinsp;140.37\u0026thinsp;\u0026gt;\u0026thinsp;χ\u0026sup2;_tab\u0026thinsp;=\u0026thinsp;12.592), highlighting that managerial leadership and resource allocation are central to effective waste management. Generally, the findings indicate that while waste management in Ijebu-Ode Township is effective, it is highly dependent on adequate personnel, structured sanitation exercises, community cooperation, and the strategic contributions of waste managers supported by sufficient resources. To enhance sustainability, there is a need for continued environmental education, improved waste management infrastructure, and the reinforcement of staff strength to cope with increasing waste generation driven by population influx. These results provide a robust basis for policy interventions aimed at optimizing waste management practices and promoting environmental health in Ijebu-Ode Township.\u003c/p\u003e"},{"header":"5. RECOMMENDATION","content":"\u003cp\u003eFindings from this study, these recommendations will help to eradicate the waste disposal and management problems faced by the people of Ijebu-Ode inhabitants.\u003c/p\u003e \u003cp\u003e \u003col\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThere is a need for proper orientation of the entire citizenry in Ijebu-Ode Township on the extremely serious consequence of improper waste management.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThere is urgent need to increase the numerical strength of public health officer in order to monitor waste disposal and attainment of clean environment.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThe government should provide adequate fund and necessary equipment or machineries for effective and efficient waste disposal management.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThe waste generated by Ijebu-Ode residents should be adequate managed and possibly turn same into manure for agricultural purposes.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThe newly re-introduced Monthly environmental sanitation exercise in Ogun State is a welcome development, but efforts should be made for strict compliance by Ijebu-Ode residents.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003c/ol\u003e \u003c/p\u003e \u003cp\u003eIt is hoped that these recommendations, if taken by the government, at all levels and the inhabitants themselves, would help address the waste disposal and management problems in Ijebu - Ode Township and the nation at large.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eEthical statement\u003c/p\u003e\n\u003cp\u003eThe study was conducted in accordance with applicable ethical standards and approved by the appropriate institutional review board/ethics committee where required. Informed consent was obtained from all participants, and all data have been handled in compliance with relevant privacy and confidentiality regulations. The authors declare no conflicts of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting Interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no conflicts of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to participate\u003c/strong\u003e \u003cstrong\u003eDeclaration\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll participants provided informed consent prior to their involvement.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to publish Declaration:\u003c/strong\u003e Not Applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research did not receive any specific grant from funding agencies in the public, commercial, non-profit sectors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data generated in the present study are included in the article and available from the corresponding author on request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Issues\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAuthors have declared no ethical issues in the manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eSlue, J. D. (2009). \u003cem\u003eWhat a waste: A global review of solid waste management\u003c/em\u003e (Urban Development Series; Knowledge Papers No. 15). World Bank.\u003c/li\u003e\n \u003cli\u003eAdedibu, A. A. (1982). Solid waste characteristics and management in Ilorin. \u003cem\u003eJournal of the Nigerian Institute of Town Planners\u003c/em\u003e, \u003cem\u003e3\u003c/em\u003e(1), 1\u0026ndash;15.\u003c/li\u003e\n \u003cli\u003eTim, S. R. (2008). The principles of waste management in developed nations. \u003cem\u003eInternational Journal of Policy and Sustainable Development\u003c/em\u003e, \u003cem\u003e5\u003c/em\u003e(2), 25\u0026ndash;34.\u003c/li\u003e\n \u003cli\u003eAderogba, K. A. (2005). \u003cem\u003eUrban climate and thermal conformability\u003c/em\u003e.\u003c/li\u003e\n \u003cli\u003eAgunwamba, J. C. (2003). Environmental education and awareness for effective environmental protection and management in Nigeria. \u003cem\u003eJournal of the Nigerian Institute of Town Planners\u003c/em\u003e, \u003cem\u003e12\u003c/em\u003e, 1\u0026ndash;13.\u003c/li\u003e\n \u003cli\u003eAkerele, S. I. (1991). \u003cem\u003eEnvironmental education communication for a sustainable world: A handbook for international practitioners\u003c/em\u003e. Academy for Educational Development.\u003c/li\u003e\n \u003cli\u003eVijic, G., \u0026amp; Milovanovic, D. (2012). Waste management: Direction of future scientific research. \u003cem\u003eRecycling and Sustainable Development\u003c/em\u003e, \u003cem\u003e5\u003c/em\u003e(1), 30\u0026ndash;38.\u003c/li\u003e\n \u003cli\u003eAkinbowale, B. J. (2000). \u003cem\u003eGeomorphology in environmental management: An introduction\u003c/em\u003e. Oxford University Press.\u003c/li\u003e\n \u003cli\u003eAnger, R. A., \u0026amp; Smith, J. S. (1998). \u003cem\u003eHousehold participation in domestic waste disposal and recycling\u003c/em\u003e (Unpublished master\u0026rsquo;s thesis). University of South Africa.\u003c/li\u003e\n \u003cli\u003eOdufuwa, B. A., Odufuwa, B. O., Ediale, M. O., \u0026amp; Oriola, S. (2012). Household participation in waste disposal and management in Ijebu-Ode, Nigeria. \u003cem\u003eJournal of Human Ecology\u003c/em\u003e, \u003cem\u003e38\u003c/em\u003e(2), 185\u0026ndash;194. https://doi.org/10.1080/09709274.2012.11906543\u003c/li\u003e\n \u003cli\u003eBuckle, P. A., \u0026amp; Smith, J. S. (2000). \u003cem\u003eSolid waste handling in metropolitan areas\u003c/em\u003e. U.S. Public Health Service.\u003c/li\u003e\n \u003cli\u003eSolaja, O. M., Omodehin, A. O., \u0026amp; Badejo, B. A. (2017). Socio-ecologies of solid waste in Ijebu-Ode, Ogun State, Nigeria. \u003cem\u003eRecycling and Sustainable Development\u003c/em\u003e, \u003cem\u003e10\u003c/em\u003e, 1\u0026ndash;8.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Tai Solarin University of Education","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Disposal, Environmental Sanitation, Ijebu-Ode, Waste management","lastPublishedDoi":"10.21203/rs.3.rs-9020873/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9020873/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWaste management has become a perennial problem confronting all tiers of government in Nigeria in recent times. This problem has taken monumental dimensions most especially in urban centres; man\u0026rsquo;s unguided development and ineffective waste management especially in the urban centres has resulted in degraded urban environments. As it stands, effective waste management in our urban centres needs to be properly addressed to achieving sustainable urban development. The study sought to identify the knowledge regarding waste disposal and management problems of the inhabitants of Ijebu-ode, Township, Ogun State, Nigeria. The study used 250 inhabitants of Ijebu-Ode Township using a simple random sampling procedure. The instrument used was a validated questionnaire with likert type scale, interview and personal observation. Data collected through questionnaire were analyzed using frequency counts and simple percentages, while the three hypotheses generated for the study were tested using Chi-square statistic at 0.05 significant level. All the hypotheses were accepted as there were no significant difference in the knowledge of respondents with respect to waste disposal and management problems of Ijebu-Ode inhabitants. The study recommend that there is urgent need to increase the numerical strength of public health officers in order to monitor waste disposal and attainment of a clean environment. Inclusively, the government should provide adequate fund and necessary equipment and machineries for effective and efficient waste disposal management.\u003c/p\u003e","manuscriptTitle":"Perceived Knowledge and Attitude of Ijebu-Ode Inhabitants Regarding Waste Disposal and Management Problems: A Study of Ijebu-Ode Township, Ogun State, Nigeria","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-05 05:11:43","doi":"10.21203/rs.3.rs-9020873/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"de7b99a0-0e84-40c5-9f33-5808e413b1c8","owner":[],"postedDate":"March 5th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":63850068,"name":"Environmental Policy"},{"id":63850069,"name":"Environmental Chemistry"},{"id":63850070,"name":"City Management and Urban Policy"}],"tags":[],"updatedAt":"2026-03-05T05:11:43+00:00","versionOfRecord":[],"versionCreatedAt":"2026-03-05 05:11:43","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9020873","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9020873","identity":"rs-9020873","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}