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 en...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/15/11/1189 |
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| author | Ting Wang Wanyi Li Tianyu Jin Jing Wu Jianghua Liu |
| author_facet | Ting Wang Wanyi Li Tianyu Jin Jing Wu Jianghua Liu |
| author_sort | Ting Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e41324f9acde4e7eb9c84a7cbd4831fa |
| institution | OA Journals |
| issn | 2077-0472 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj-art-e41324f9acde4e7eb9c84a7cbd4831fa2025-08-20T02:23:00ZengMDPI AGAgriculture2077-04722025-05-011511118910.3390/agriculture15111189Research on Regional Differences and Influencing Factors of Energy Efficiency in China’s Agricultural Production SectorTing Wang0Wanyi Li1Tianyu Jin2Jing Wu3Jianghua Liu4School of Economics, Hangzhou Normal University, Hangzhou 311121, ChinaSchool of Economics, Hangzhou Normal University, Hangzhou 311121, ChinaSchool of Economics, Hangzhou Normal University, Hangzhou 311121, ChinaSchool of Economics, Hangzhou Normal University, Hangzhou 311121, ChinaSchool of Economics, Shanghai University of Finance and Economics, Shanghai 200433, ChinaAchieving 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.https://www.mdpi.com/2077-0472/15/11/1189agricultural productionDEA-EBM modelenergy efficiencyredundancy ratioregional differencesinfluencing factors |
| spellingShingle | Ting Wang Wanyi Li Tianyu Jin Jing Wu Jianghua Liu Research on Regional Differences and Influencing Factors of Energy Efficiency in China’s Agricultural Production Sector Agriculture agricultural production DEA-EBM model energy efficiency redundancy ratio regional differences influencing factors |
| title | Research on Regional Differences and Influencing Factors of Energy Efficiency in China’s Agricultural Production Sector |
| title_full | Research on Regional Differences and Influencing Factors of Energy Efficiency in China’s Agricultural Production Sector |
| title_fullStr | Research on Regional Differences and Influencing Factors of Energy Efficiency in China’s Agricultural Production Sector |
| title_full_unstemmed | Research on Regional Differences and Influencing Factors of Energy Efficiency in China’s Agricultural Production Sector |
| title_short | Research on Regional Differences and Influencing Factors of Energy Efficiency in China’s Agricultural Production Sector |
| title_sort | research on regional differences and influencing factors of energy efficiency in china s agricultural production sector |
| topic | agricultural production DEA-EBM model energy efficiency redundancy ratio regional differences influencing factors |
| url | https://www.mdpi.com/2077-0472/15/11/1189 |
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