Efficiency improvement, structural change, and energy intensity reduction: Evidence from Chinese agricultural sector
Efficiency improvement, structural change, and energy intensity reduction: Evidence from Chinese agricultural sector
复制标题
效率提高、结构变革和能源强度降低：来自中国农业部门的证据
DOI：
10.1016/j.eneco.2021.105313
复制
发表时间：
2021-07
期刊：
影响因子：
12.8
通讯作者：
Ding Song
中科院分区：
文献类型：
--
作者：
Wu Shu;Ding Song
中国现在面临的挑战是，在降低农业能源强度的同时实现农业现代化，以减缓农业能源消费的增长。本文旨在探讨中国农业能源强度变化的决定因素。具体而言，本文首先基于1981-2017年的全国时间序列数据，利用对数平均区分指数法将CAEI分解为有效成分变动(CEC)和结构成分变动(CSC)，然后利用固定效应的面板数据模型，基于1991-2015年的省级数据对CAEI、CEC和CSC的决定因素进行识别。研究结果表明：(1)消费支出占主导地位，相关系数为0.9927，而社会保障支出的影响有限；(2)消费支出与收入之间存在倒U型关系。资本和劳动力显著提高消费成本，而能源价格对消费成本的影响显著为负；(3)劳动力成本与收入之间呈U型关系。资本和劳动力显著降低CSC；(4)CAEI与资本之间存在U型关系。能源价格和收入显著降低CAEI，而劳动力对CAEI的影响相反。最后，建议提高农民的环境意识，深化农业资本积累，放开农村能源价格管制。
China is now facing the challenge of modernizing its agricultural sector while reducing agricultural energy intensity to slow down the growth of agricultural energy consumption. This paper aims to investigate the determinants of changes in agricultural energy intensity (CAEI) in China. Specifically, this paper first uses the Log-mean Divisia Index method to decompose CAEI into changes in efficiency component (CEC) and changes in structure component (CSC) based on national time-series data during 1981–2017 and then employs panel data models with fixed effects to discern the determinants of CAEI, CEC, and CSC based on provincial data during 1991–2015. The results are as follows: (1) CEC dominates CAEI with a correlation coefficient of 0.9927, while the impact of CSC is limited; (2) an inverted U-shaped relationship exists between CEC and income. Capital and labor significantly improve CEC, while the impact of energy price is significantly negative; (3) a U-shaped relationship is observed between CSC and income. Capital and labor significantly decrease CSC; (4) a U-shaped relationship exists between CAEI and capital. Energy price and income significantly reduce CAEI, while labor has the opposite effect. Finally, it is suggested to improve farmers' environmental awareness, deepen agricultural capital accumulation, and deregulate rural energy prices.
登录
查看更多内容
影响因子：
12.8
作者：
Ruipeng Tan;Boqiang Lin
通讯作者：
Ruipeng Tan;Boqiang Lin
影响因子：
12.8
作者：
Liu, Ming-Hua;Margaritis, Dimitris;Zhang, Yang
通讯作者：
Zhang, Yang
ICT投资对中国不同地区能源强度的影响
影响因子：
2.5
作者：
Wang Dong;Han Botang
通讯作者：
Han Botang
能源价格、技术和灾害冲击对中国能源-环境-经济系统的影响
影响因子：
11.1
作者：
Zhang Shangfeng;Hu Tingting;Li Jianbo;Cheng Can;Song Malin;Xu Bing;Balezentis Tomas
通讯作者：
Balezentis Tomas
影响因子：
9
作者：
Li, Ke;Lin, Boqiang
通讯作者：
Lin, Boqiang