Farmland Property Rights Stability and Low-carbon Agricultural Development:Evidence from a New-round Land Certification in China
The purpose of this study is to analyze the impact of enhancing the stability of farmland property rights on low-carbon agricultural development and its internal mechanisms,to provide theoretical support and empirical evidence for deepening rural land institution reforms and promoting low-carbon agricultural development.The research methods are as follows.Based on manually collected panel data from the cities in China from 2012 to 2021,this study uses the new-round land certification reform conducted between 2013 and 2019 as a quasi-natural experiment,employing a staggered double difference model to explore the impact of farmland property rights reform on low-carbon agricultural development.The research results show that the enhancement of farmland property rights stability significantly reduces agricultural carbon intensity and improves agricultural carbon efficiency,positively affecting low-carbon agricultural development.These results remain valid after considering endogeneity issues,heterogeneous treatment effects,and conducting a series of robustness tests.Further analysis reveals that enhancing the stability of farmland property rights promotes low-carbon development in agriculture through the effects of"scale operation"and"long-term investment."Additionally,due to varying levels of marketization and the development of inclusive finance,there are heterogeneous impacts.In conclusion,the enhancement of farmland property rights stability plays a significant role in the process of low-carbon agricultural development.It is necessary to deepen rural land institution reforms,optimize the internal and external development environment according to local conditions,refine supporting policies,and promote low-carbon agricultural development through multiple measures.
low-carbon agricultural developmentstaggered double difference modelstability of farmland property rightsnew-round land certification
万方数据
