The Spatial Correlation Effect of Hunan Green Finance Efficiency and the Green and Low-consumption Development of Tobacco Industry Based on Social Network Analysis

Abstract

The efficiency of green finance for promoting the upgrading of regional industrial structure shows a correlation effect. In this paper, 14 cities and prefectures in Hunan, China, are taken as regional cases, and relevant data from 2010 to 2017 are analyzed. The three-stage DEA model, modified gravity model, and social network analysis are employed to measure the efficiency of Hunan green finance in promoting the energy saving and emission reduction of tobacco industry, industrial upgrading and its spatial network relationship. The results show that Changsha, Hengyang, Zhangjiajie, Loudi, and other cities and prefectures have high efficiency, while other cities and prefectures have relatively low efficiency. Clear spatial agglomerations exist between cities and states, depicting a complex spatial network structure. Their spatial network connections have increased, and agglomerations are closely linked, forming four major sections: “two-way overflow”, “net overflow”, “net income”, and “broker”. Cities and states with these four major sectors have played different roles in the spatial network, demonstrating their respective roles and orientations. This suggests that when inter-regional governments formulate green finance policies for promoting the upgrading of the industrial structure, they are supposed to not only concentrate on coordinated advancement, but they should also adjust measures to local conditions. Tobacco industry should also actively implement the concept of green development, pay close attention to equipment energy-saving technological transformation, and improve energy management through lean management.