Liu Shucheng, Yuan Jie
School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China.
School of Public Finance and Taxation, Zhejiang University of Finance and Economics, Hangzhou, China.
Sci Rep. 2023 Nov 27;13(1):20790. doi: 10.1038/s41598-023-47370-8.
Improving energy-environment efficiency is not only a requirement for constructing China's ecological civilization but also inevitable for achieving sustainable economic and social development. Studies on energy-environment efficiency based on relational data and network perspectives are limited, which hinders the development of collaborative regional emission reduction activities. This study uses the SBM-Undesirable model to measure the energy-environment efficiency of the Yangtze River Delta Urban Agglomeration from 2010 to 2020, adopts a modified gravity model and social network analysis to reveal the structural characteristics of its spatial correlation network, and explores its driving factors through the QAP method. The study found (1) an overall upward trend in energy-environment efficiency but with problems of uneven development. (2) The spatial correlation of energy-environment efficiency shows a complex network structure, with increasing network correlation and strong network stability; the network can be divided into four plates: net benefit, net overflow, two-way spillover, and agent. (3) Differences in industrial structure, environmental regulation, economic development, and technological innovation significantly impact the formation of spatial correlation network of energy-environment efficiency. This study provides a reference for the construction of a cross-regional synergistic mechanism to improve energy-environment efficiency.
提高能源-环境效率不仅是建设中国生态文明的要求，也是实现经济社会可持续发展的必然选择。基于关联数据和网络视角对能源-环境效率的研究较为有限，这阻碍了区域协同减排活动的开展。本研究运用SBM-非期望模型测度2010—2020年长江三角洲城市群的能源-环境效率，采用改进的引力模型和社会网络分析揭示其空间关联网络的结构特征，并通过QAP方法探究其驱动因素。研究发现：（1）能源-环境效率总体呈上升趋势，但存在发展不均衡问题。（2）能源-环境效率的空间关联呈现复杂网络结构，网络关联性增强且网络稳定性较强；网络可划分为净效益、净溢出、双向溢出和中介四个板块。（3）产业结构、环境规制、经济发展和技术创新差异对能源-环境效率空间关联网络的形成有显著影响。本研究为构建跨区域协同机制以提高能源-环境效率提供了参考。
