Study on agricultural energy efficiency measurement and rebound effect based on DEA model

Jichan Zhu; Yu Zhao; Qiyang Xie; Yu Zhang

doi:10.1117/12.2635679

6 May 2022 Study on agricultural energy efficiency measurement and rebound effect based on DEA model

Jichan Zhu, Yu Zhao, Qiyang Xie, Yu Zhang

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 1225635 (2022) https://doi.org/10.1117/12.2635679
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

DEA method was used to calculate the Malmquist-Luenberger index of agricultural energy, and the resilience effect of agricultural energy was further calculated according to the ML index to study the agricultural energy efficiency and energy conservation. The results show that :(1) the national average agricultural energy efficiency is greater than 1 in most years, indicating that energy efficiency is on the rise. (2) The rebound effect of agricultural energy is generally between 0 and 1, without obvious adverse effect, and the energy saving effect is fair. (3) The agricultural energy efficiency and resilience effect of major grain-producing provinces are lower than that of non-major grain-producing provinces, and there is a large space for energy conservation and efficiency improvement.

Citation Download Citation

Jichan Zhu, Yu Zhao, Qiyang Xie, and Yu Zhang "Study on agricultural energy efficiency measurement and rebound effect based on DEA model", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 1225635 (6 May 2022); https://doi.org/10.1117/12.2635679

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