ORIGINAL RESEARCH
Influence of Rural Land Consolidation on Agricultural Carbon Emissions: A Spatial Difference-in-Differences Approach
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1
College of Economics and Management, South China Agricultural University,Guangzhou, China
 
2
Business School, Central South University of Forestry and Technology, Changsha, China
 
 
Submission date: 2024-03-10
 
 
Final revision date: 2024-04-22
 
 
Acceptance date: 2024-05-17
 
 
Online publication date: 2024-11-22
 
 
Publication date: 2025-04-04
 
 
Corresponding author
Lu Wang   

College of Economics and Management, South China Agricultural University,Guangzhou, China
 
 
Pol. J. Environ. Stud. 2025;34(4):3823-3836
 
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ABSTRACT
Reducing agricultural carbon emissions (ACEs) is critical to achieving green agriculture in China. Chinese agriculture has long faced the dilemma of large numbers of people and small landholdings, as well as low-quality arable land. As a result, agricultural production relies heavily on inputs of agricultural chemicals to boost yields, damaging the rural environment. In this study, we use provincial panel data from China and a spatial difference-in-differences model to explore the influence of rural land consolidation policy (RLCP) on ACEs and their spatial spillover effects. The results show that the global Moran’s I of ACEs reflected a downward trend, the spatial correlation gradually weakened, and ACEs developed from a state of polarization to one of balance. RLCP has had a significant reduction and a negative spatial spillover effect on ACEs. Our analysis of the mechanism shows that rural land consolidation promoted the reduction of ACEs by improving the quality of farmland soil and the utilization rate of water resources. Under different geographical conditions, the construction of rural land consolidation has had a significant ACE reduction effect on both the south and the north, although RLCP in southern China has had a negative spatial spillover effect.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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