School of Economics and Management, Southeast University, Nanjing 211189, China; School of Mathematics and Finance, Chuzhou University, Chuzhou, 239000, China.
School of Economics and Management, Southeast University, Nanjing 211189, China; Institute of Socialist Development with Chinese Characteristics, Southeast University, Nanjing 211189, China.
Sci Total Environ. 2020 Sep 10;734:139241. doi: 10.1016/j.scitotenv.2020.139241. Epub 2020 May 15.
This paper presents a new index called sustainable total-factor ecology efficiency (STFEcE), which integrates the ecological footprint and human development index into the framework of total-factor energy efficiency. Compared with the total-factor ecology efficiency index, the new index can better reflect the sustainable development efficiency of a region. This study uses data from 30 provinces of China over the period 2005-2016 to measure the STFEcE. Considering the heterogeneity of regional development in China, the meta-frontier slack-based data envelopment analysis (DEA) model is implemented. The results are as follows. First, the STFEcE for China is low, indicating the great potential for improvement in the sustainable development efficiency of China. Second, the heterogeneity of the STFEcE across the three regions of China (eastern, central, and western) is evident, given the "concave" trend from the eastern region to the western region. Third, decomposing the STFEcE into the technology inefficiency and management inefficiency indexes shows that the management efficiency of the eastern region needs to be improved, whereas the technology efficiency of the central region needs enhancement. For the western region, both the technology efficiency and management efficiency need improvement.
本文提出了一个新的指数，称为可持续全要素生态效率（STFEcE），它将生态足迹和人类发展指数纳入全要素能源效率框架中。与全要素生态效率指数相比，新指数能更好地反映区域的可持续发展效率。本研究使用了 2005 年至 2016 年中国 30 个省份的数据来衡量 STFEcE。考虑到中国区域发展的异质性，采用了基于超前沿松弛的数据包络分析（DEA）模型进行测算。结果表明：首先，中国的 STFEcE 较低，表明中国可持续发展效率有较大的提升空间；其次，中国东、中、西部地区的 STFEcE 存在明显的异质性，呈现出从东部地区到西部地区的“凹形”趋势；再次，将 STFEcE 分解为技术无效率和管理无效率指数，结果表明东部地区需要提高管理效率，而中部地区需要提高技术效率，西部地区则需要提高技术效率和管理效率。
