ORIGINAL RESEARCH
Spatial Distribution of Green Total Factor Productivity in Chinese Agriculture and Analysis of Its Influencing Factors
 
 
 
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Law School, Shanxi University of Finance and Economics, Taiyuan 030006, China
 
 
Submission date: 2023-09-09
 
 
Final revision date: 2023-10-18
 
 
Acceptance date: 2023-11-02
 
 
Online publication date: 2024-01-15
 
 
Publication date: 2024-02-28
 
 
Corresponding author
Jing Zhang   

Shanxi University of Finance and Economics, China
 
 
Pol. J. Environ. Stud. 2024;33(3):2473-2485
 
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ABSTRACT
By utilizing the center of gravity-standard deviation ellipse, kernel density estimation, and GeoDetector, this paper analyzes the spatial distribution pattern of China's agricultural green TFP and the dynamic evolution law of its distribution in different regions based on the provincial-level related input-output data of China's agriculture from 2001 to 2020. It also investigates the factors that affect its spatial differentiation. We find that (1) China's agricultural green TFP, which has a long-term upward trend and an average annual growth rate of 3.21% between 2001 and 2020, is mostly fueled by technological advancements in the field of agriculture. (2) Agricultural green TFP tends to move eastnorthward, and its spatial distribution is gradually expanding, showing a northeast-southwest pattern. (3) Agricultural green TFP in the country as a whole and the three major food regions has increased over the study period, with absolute differences within the country gradually narrowing, and cities with higher agricultural green TFP within the regions approaching the average, and the polarization phenomenon easing. (4) The main determinants of the spatial divergence of green TFP in agriculture are the replanting index, agricultural output per capita, and the degree of financial support for agriculture. The strength of the interactions between the various factors is significantly greater than the explanatory power of any one factor.
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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eISSN:2083-5906
ISSN:1230-1485
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