Research on Regional Differences and Influencing Factors of Energy Efficiency in China’s Agricultural Production Sector

Achieving the twin objectives of increasing economic efficiency and lowering environmental pollution in agricultural modernization requires regions to increase agricultural energy efficiency. This study used the DEA-EBM model, an efficiency evaluation tool, to measure and analyze the agricultural energy efficiency and input redundancy of 30 Chinese regions from 2000 to 2022. It also examined the factors that influence these metrics. According to the findings, China’s agricultural energy efficiency varies greatly by region, with the eastern region performing at its best and the western region performing at a relatively low level. However, this gap is gradually closing. In the meantime, agricultural energy efficiency shows clear spatial correlation, and the energy efficiency of different regions and crop production is influenced by a combination of factors. Moreover, there is a significant degree of land and energy redundancy, and the potential for energy savings exhibits a declining and then rising tendency. In the course of advancing agricultural modernization, this study offers municipalities a valuable reference base upon which to develop unique strategies based on their unique qualities.

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Publication Details

Journal
Agriculture
Published
2025-05-30
DOI
https://doi.org/10.3390/agriculture15111189
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Regional Differences and Influencing Factors of Energy Efficiency in China’s Agricultural Production Sector

Tianyu Jin, Jianghua Liu, Ting Wang, Wanyi Li et al.
1 links
Agriculture
Environmental Impact and Sustainability
article

Research on Regional Differences and Influencing Factors of Energy Efficiency in China’s Agricultural Production Sector

Tianyu Jin, Jianghua Liu, Ting Wang, Wanyi Li, Jing Wu
article en

Abstract

Achieving the twin objectives of increasing economic efficiency and lowering environmental pollution in agricultural modernization requires regions to increase agricultural energy efficiency. This study used the DEA-EBM model, an efficiency evaluation tool, to measure and analyze the agricultural energy efficiency and input redundancy of 30 Chinese regions from 2000 to 2022. It also examined the factors that influence these metrics. According to the findings, China’s agricultural energy efficiency varies greatly by region, with the eastern region performing at its best and the western region performing at a relatively low level. However, this gap is gradually closing. In the meantime, agricultural energy efficiency shows clear spatial correlation, and the energy efficiency of different regions and crop production is influenced by a combination of factors. Moreover, there is a significant degree of land and energy redundancy, and the potential for energy savings exhibits a declining and then rising tendency. In the course of advancing agricultural modernization, this study offers municipalities a valuable reference base upon which to develop unique strategies based on their unique qualities.

AgricultureVol. 15(11)
Hangzhou Normal University (CN), Shanghai University of Finance and Economics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 89%
Environmental Impact and Sustainability
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Research on Regional Differences and Influencing Factors of Energy Efficiency in China’s Agricultural Production Sector — Tianyu Jin, Jianghua Liu, et al. · Agriculture (2025) | TGRS Research Map | TGRS