A Comprehensive Ma-Mi-P Framework for Analyzing Factors Influencing the Development of New Energy Vehicles in China

A Comprehensive Ma-Mi-P Framework for Analyzing Factors Influencing the Development of New Energy Vehicles in China | 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 Article A Comprehensive Ma-Mi-P Framework for Analyzing Factors Influencing the Development of New Energy Vehicles in China Jiacheng Guo, Han Zhong This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4686874/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 The Chinese new energy vehicle (NEV) industry currently holds significant development potential, attracting more participants. Studying the factors influencing the development of NEVs can provide valuable guidance for existing automotive companies and future entrants, helping to inform their development and improvement strategies. Building on existing research, this paper proposes a Ma-Mi-P framework for analyzing the factors influencing the development of new energy vehicles for the first time. The framework is divided into three levels: Ma (macro-level), Mi (micro-level), and P (personal-level). At the macro-level, the Boruta feature selection algorithm is employed to evaluate the importance of eight indicators: the number of charging stations, gasoline consumption, national disposable income, consumer spending levels, industrial GDP, gasoline benchmark price, material production, and government subsidies. At the micro-level, the random forest algorithm ranks indicators within product performance and brand image modules. At the personal-level, we collect behavioral event information of entrepreneurs and conduct an MBTI personality analysis using fuzzy set qualitative analysis. The study concludes that government subsidies, material production, and the number of charging stations are the most crucial factors at the macro-level. At the micro-level, consumer satisfaction and brand recognition are the key determinants influencing the development of new energy vehicles. Additionally, entrepreneurs with an ENFJ personality have a significantly positive impact on new energy vehicle companies. The proposed Ma-Mi-P framework provides a comprehensive and systematic analysis of the various factors influencing the development of new energy vehicles, addressing the gaps in existing theoretical research. The findings can also offer valuable guidance for current new energy vehicle companies and future industry entrants. Physical sciences/Mathematics and computing/Scientific data Physical sciences/Mathematics and computing/Statistics A Ma-Mi-P Framework New Energy Vehicles Analyzing Factors Boruta Feature Selection Algorithm MBTI Personality Analysis fuzzy-set Qualitative Comparative Analysis Full Text Additional Declarations No competing interests reported. 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-4686874","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":332844949,"identity":"fd26f22d-ee12-4611-83fc-21e6ebd6b7a1","order_by":0,"name":"Jiacheng Guo","email":"","orcid":"","institution":"China People's Public Security University","correspondingAuthor":false,"prefix":"","firstName":"Jiacheng","middleName":"","lastName":"Guo","suffix":""},{"id":332844950,"identity":"fc1d14df-68b2-40b9-890b-469cb216a39f","order_by":1,"name":"Han Zhong","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAvElEQVRIie3QIQ7CMBTG8TZNinlMl4zQK7xlCQrBUYrZ1BLkJJjW7AAThGOgu5CgdgMM84jJCRIYCrknEf3p9xffYywI/hIw3+NmJWfOkxPe1fssjaA15ESk0F93Z7VFWqAP81sMKHKrmGFDeZlO+CHKFieUhY2PnlftfToRDNbqiVDYpTeCW0IivwmgyqUySEuAQZoAoqEnSkDS1WgSOz65IW3RrkLfv95aO9c8hpKQjPt/POE+CIIgoPgAIwk0oHh6ptMAAAAASUVORK5CYII=","orcid":"","institution":"China People's Public Security University","correspondingAuthor":true,"prefix":"","firstName":"Han","middleName":"","lastName":"Zhong","suffix":""}],"badges":[],"createdAt":"2024-07-04 13:25:57","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4686874/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4686874/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":75081314,"identity":"379d9b95-0199-47f9-9499-cc3538e4d903","added_by":"auto","created_at":"2025-01-30 09:01:55","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":595954,"visible":true,"origin":"","legend":"","description":"","filename":"AComprehensiveMaMiPFrameworkforAnalyzingFactorsInfluencingtheDevelopmentofNewEnergyVehiclesinChina1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4686874/v1_covered_01266bb0-5a5a-485a-82bb-8f1e52bc9d62.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A Comprehensive Ma-Mi-P Framework for Analyzing Factors Influencing the Development of New Energy Vehicles in China","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"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":"A Ma-Mi-P Framework, New Energy Vehicles, Analyzing Factors, Boruta Feature Selection Algorithm, MBTI Personality Analysis, fuzzy-set Qualitative Comparative Analysis","lastPublishedDoi":"10.21203/rs.3.rs-4686874/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4686874/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"The Chinese new energy vehicle (NEV) industry currently holds significant development potential, attracting more participants. Studying the factors influencing the development of NEVs can provide valuable guidance for existing automotive companies and future entrants, helping to inform their development and improvement strategies. Building on existing research, this paper proposes a Ma-Mi-P framework for analyzing the factors influencing the development of new energy vehicles for the first time. The framework is divided into three levels: Ma (macro-level), Mi (micro-level), and P (personal-level). At the macro-level, the Boruta feature selection algorithm is employed to evaluate the importance of eight indicators: the number of charging stations, gasoline consumption, national disposable income, consumer spending levels, industrial GDP, gasoline benchmark price, material production, and government subsidies. At the micro-level, the random forest algorithm ranks indicators within product performance and brand image modules. At the personal-level, we collect behavioral event information of entrepreneurs and conduct an MBTI personality analysis using fuzzy set qualitative analysis. The study concludes that government subsidies, material production, and the number of charging stations are the most crucial factors at the macro-level. At the micro-level, consumer satisfaction and brand recognition are the key determinants influencing the development of new energy vehicles. Additionally, entrepreneurs with an ENFJ personality have a significantly positive impact on new energy vehicle companies. The proposed Ma-Mi-P framework provides a comprehensive and systematic analysis of the various factors influencing the development of new energy vehicles, addressing the gaps in existing theoretical research. The findings can also offer valuable guidance for current new energy vehicle companies and future industry entrants.","manuscriptTitle":"A Comprehensive Ma-Mi-P Framework for Analyzing Factors Influencing the Development of New Energy Vehicles in China","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-07-30 01:48:17","doi":"10.21203/rs.3.rs-4686874/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":"f70e4aff-4ada-4943-9cd4-892ee8e60674","owner":[],"postedDate":"July 30th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":35241354,"name":"Physical sciences/Mathematics and computing/Scientific data"},{"id":35241355,"name":"Physical sciences/Mathematics and computing/Statistics"}],"tags":[],"updatedAt":"2025-01-30T08:53:43+00:00","versionOfRecord":[],"versionCreatedAt":"2024-07-30 01:48:17","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4686874","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4686874","identity":"rs-4686874","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}