Examining the multi-subject collaborative mechanism and configuration pathways of comprehensive land consolidation

Examining the multi-subject collaborative mechanism and configuration pathways of comprehensive land consolidation | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 5 May 2025 V1 Latest version Share on Examining the multi-subject collaborative mechanism and configuration pathways of comprehensive land consolidation Authors : Qiufang Li , Wenxiong Wang [email protected] , Lihong Yu , Yongzheng Cui , and Yihao Meng Authors Info & Affiliations https://doi.org/10.22541/au.174645028.83708717/v1 176 views 91 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract As global land degradation becomes increasingly serious, comprehensive land consolidation (CLC) has become a critical policy tool for effective land resource management worldwide. Effective multi-subject collaboration is essential to enhancing sustainable development of CLC. However, What conditions of multi-subject collaboration can achieve efficient collaboration is a key question in research multi-subject collaboration in CLC. Based on collaborative governance theory, this study builds a theoretical model of ”policy environment - collaborative foundation - collaborative motivation - collaborative dependence”, selects typical Chinese CLC project areas as samples, and by integrating fuzzy-set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA) methods, we investigated the complex causal relationships between various factors of multi-subject collaboration and the collaboration effect from the configuration perspective and revealed the configurational effects that produce efficient collaboration. The study revealed four configuration pathways lead to efficient collaboration: collaborative foundation-driven configuration, policy-dynamics-driven configuration, policy-structure dependence-driven configuration, and multi-factor-driven configuration. No single factor is found to be a necessary condition for achieving efficient collaboration. Our findings help enhance the research on multi-subject collaboration in CLC, providing theoretical and practical insights for developing and adjusting targeted collaboration policies to promote the sustainable development of CLC. Supplementary Material File (appendix table.docx) Download 31.31 KB File (manuscript with author details0503.docx) Download 513.02 KB Information & Authors Information Version history V1 Version 1 05 May 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords comprehensive land consolidation configuration pathways fuzzy-set qualitative comparative multi-subject collaborative necessary conditions analysis Authors Affiliations Qiufang Li Huazhong Agriculture University College of Public Administration View all articles by this author Wenxiong Wang [email protected] Huazhong Agriculture University College of Public Administration View all articles by this author Lihong Yu South-Central Minzu University View all articles by this author Yongzheng Cui Huazhong Agriculture University College of Public Administration View all articles by this author Yihao Meng Huazhong Agriculture University College of Public Administration View all articles by this author Metrics & Citations Metrics Article Usage 176 views 91 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Qiufang Li, Wenxiong Wang, Lihong Yu, et al. 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