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      Positive effect of village debt on land transfer: Evidence from county-level panel data of village finance in Zhejiang Province

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          Abstract

          The purpose of this paper is to examine the impact of village debt on land transfer. Based on the county-level panel data of village finance and land transfer in 90 counties and 4 economic development zones of Zhejiang Province from 2013 to 2017, this paper carried out multivariate statistical analysis and set a fixed effect model to control the endogenous influence of region and time. It found that village debt as a pressure may encourage village committees to promote rural land transfer, and then especially promote land flows into agricultural firms; as a mechanism, the burden of village organization’s transactional debt (historical debt and administrative debt) is the key to promoting the rural land flow to agricultural enterprises; through further analysis, it is found that the village committee seeks "win-win" opportunities by intervening in land circulation to ensure the rights and interests of farmers and to obtain village benefits from them. This paper finds that this kind of push effect has the threshold, the debt will play a significant role in promoting when the debt rate is between 4.65% and 7.9%. In addition, there is regional heterogeneity in the contribution of debt, which exists only in plain, non-coastal and high-dependence areas. The results of this paper verify the view that "community mechanism and market mechanism are embedded and supported each other in acquaintance society" in the theory of community governance. In practice, it provides a realistic basis for policy makers to implement the policy of encouraging farmland circulation and properly deal with the problem of village debt.

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          The potential of land rental markets in the process of economic development: Evidence from China

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            Rural restructuring in China: Theory, approaches and research prospect

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              How Does Corruption Affect Public Debt? An Empirical Analysis

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                Author and article information

                Contributors
                Role: Data curationRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                30 July 2021
                2021
                : 16
                : 7
                : e0255072
                Affiliations
                [1 ] China Academy for Rural Development & School of Public Affairs, Zhejiang University, Hangzhou city, Zhejiang Province, China
                [2 ] Institute for Advanced Study in Humanities and Social Sciences & School of Public Affairs, Zhejiang University, Hangzhou city, Zhejiang Province, China
                Institute for Advanced Sustainability Studies, GERMANY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-2764-9531
                Article
                PONE-D-21-07909
                10.1371/journal.pone.0255072
                8323923
                34329315
                4f4edcca-e398-4734-97e7-0f26bc3a28f6
                © 2021 Ye et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 10 March 2021
                : 8 July 2021
                Page count
                Figures: 3, Tables: 8, Pages: 26
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 71773113
                Award Recipient :
                The study is funded by he National Natural Science Foundation of China.
                Categories
                Research Article
                People and Places
                Population Groupings
                Professions
                Agricultural Workers
                Social Sciences
                Economics
                Finance
                Biology and Life Sciences
                Agriculture
                Agricultural Economics
                Social Sciences
                Economics
                Agricultural Economics
                Earth Sciences
                Geography
                Human Geography
                Land Use
                Agricultural Land
                Social Sciences
                Human Geography
                Land Use
                Agricultural Land
                Ecology and Environmental Sciences
                Terrestrial Environments
                Agricultural Land
                Social Sciences
                Economics
                Labor Economics
                Biology and Life Sciences
                Agriculture
                Physical Sciences
                Mathematics
                Statistics
                Statistical Data
                People and Places
                Geographical Locations
                Asia
                China
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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