The Evolution and Influencing Factors of Total Factor Productivity of Grain Production Environment: Evidence from Poyang Lake Basin, China

The total factor productivity (hereafter TFP) of grain production is important to achieve balanced development, while environmental factors are an important part of TEP. In order to explore the characteristics and patterns of the temporal and spatial evolution of the environmental total factor produ...

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Main Authors: Bingfei Bao, Anli Jiang, Shengtian Jin, Rui Zhang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/10/6/606
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spelling doaj-bb304bb379b344ecbe82bfd3afdc9eec2021-06-30T23:28:30ZengMDPI AGLand2073-445X2021-06-011060660610.3390/land10060606The Evolution and Influencing Factors of Total Factor Productivity of Grain Production Environment: Evidence from Poyang Lake Basin, ChinaBingfei Bao0Anli Jiang1Shengtian Jin2Rui Zhang3Institute of Statistics and Applied Mathematics, Anhui University of Finance & Economics, Bengbu 233000, ChinaDepartment of Sociology, Faculty of Social Science, University of Macau, Macau SAR, ChinaSchool of Finance, Anhui University of Finance & Economics, Bengbu 233000, ChinaLand Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, ChinaThe total factor productivity (hereafter TFP) of grain production is important to achieve balanced development, while environmental factors are an important part of TEP. In order to explore the characteristics and patterns of the temporal and spatial evolution of the environmental total factor productivity (hereafter ETFP), the Malmquist-Luerberger index, and the spatial autoregressive panel (SAR panel) model were adopted to analyze the evolutionary rules and the influencing factors of ETFP. In this study, we took Poyang Lake, one of China’s main grain production areas, as a study area, and carried out empirical research based on grain production statistical data. The results show that: (1) ETFP shows a growth trend with the increase of grain production from 2001 to 2017, and a great potential for improvement exists. Moreover, from the perspective of time sequence evolution and decomposition of ETFP, which belongs to the dual-track driver of environmental technical efficiency and environmental technological progress, relevant technologies play an important role in promoting the improvement of TEFP; (2) Given that the objective conditions of gain production remain unchanged, the fact that the urbanization rate and average annual rainfall have a negative effect on ETFP, the explanatory variables such as the business scale per worker, the proportion of grain growing population, industrial agglomeration, the proportion of grain sown area and the average annual temperature all play a positive role. Among the variables, the business scale per worker and the proportion of grain growing population significantly affect ETFP at the 1% level. The average annual rainfall, industrial agglomeration and the proportion of grain sown area significantly affect the ETFP at the 5% level. The average annual temperature significantly affects the ETFP at the 10% level.https://www.mdpi.com/2073-445X/10/6/606grain production environmenttotal factor productivityagriculturemalmquist-luerberger indexefficiency evaluation
collection DOAJ
language English
format Article
sources DOAJ
author Bingfei Bao
Anli Jiang
Shengtian Jin
Rui Zhang
spellingShingle Bingfei Bao
Anli Jiang
Shengtian Jin
Rui Zhang
The Evolution and Influencing Factors of Total Factor Productivity of Grain Production Environment: Evidence from Poyang Lake Basin, China
Land
grain production environment
total factor productivity
agriculture
malmquist-luerberger index
efficiency evaluation
author_facet Bingfei Bao
Anli Jiang
Shengtian Jin
Rui Zhang
author_sort Bingfei Bao
title The Evolution and Influencing Factors of Total Factor Productivity of Grain Production Environment: Evidence from Poyang Lake Basin, China
title_short The Evolution and Influencing Factors of Total Factor Productivity of Grain Production Environment: Evidence from Poyang Lake Basin, China
title_full The Evolution and Influencing Factors of Total Factor Productivity of Grain Production Environment: Evidence from Poyang Lake Basin, China
title_fullStr The Evolution and Influencing Factors of Total Factor Productivity of Grain Production Environment: Evidence from Poyang Lake Basin, China
title_full_unstemmed The Evolution and Influencing Factors of Total Factor Productivity of Grain Production Environment: Evidence from Poyang Lake Basin, China
title_sort evolution and influencing factors of total factor productivity of grain production environment: evidence from poyang lake basin, china
publisher MDPI AG
series Land
issn 2073-445X
publishDate 2021-06-01
description The total factor productivity (hereafter TFP) of grain production is important to achieve balanced development, while environmental factors are an important part of TEP. In order to explore the characteristics and patterns of the temporal and spatial evolution of the environmental total factor productivity (hereafter ETFP), the Malmquist-Luerberger index, and the spatial autoregressive panel (SAR panel) model were adopted to analyze the evolutionary rules and the influencing factors of ETFP. In this study, we took Poyang Lake, one of China’s main grain production areas, as a study area, and carried out empirical research based on grain production statistical data. The results show that: (1) ETFP shows a growth trend with the increase of grain production from 2001 to 2017, and a great potential for improvement exists. Moreover, from the perspective of time sequence evolution and decomposition of ETFP, which belongs to the dual-track driver of environmental technical efficiency and environmental technological progress, relevant technologies play an important role in promoting the improvement of TEFP; (2) Given that the objective conditions of gain production remain unchanged, the fact that the urbanization rate and average annual rainfall have a negative effect on ETFP, the explanatory variables such as the business scale per worker, the proportion of grain growing population, industrial agglomeration, the proportion of grain sown area and the average annual temperature all play a positive role. Among the variables, the business scale per worker and the proportion of grain growing population significantly affect ETFP at the 1% level. The average annual rainfall, industrial agglomeration and the proportion of grain sown area significantly affect the ETFP at the 5% level. The average annual temperature significantly affects the ETFP at the 10% level.
topic grain production environment
total factor productivity
agriculture
malmquist-luerberger index
efficiency evaluation
url https://www.mdpi.com/2073-445X/10/6/606
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