Efficiency Evaluation and Influencing Factors of Green Innovation in Chinese Resource-Based Cities: Based on SBM-Undesirable and Spatial Durbin Model

Yaguai Yu; Zanzan Xu; Panyi Shen; Lening Zhang; Taohan Ni

doi:10.3390/ijerph192113772

Efficiency Evaluation and Influencing Factors of Green Innovation in Chinese Resource-Based Cities: Based on SBM-Undesirable and Spatial Durbin Model

Int J Environ Res Public Health. 2022 Oct 23;19(21):13772. doi: 10.3390/ijerph192113772.

Authors

Yaguai Yu^{1

2}, Zanzan Xu¹, Panyi Shen¹, Lening Zhang¹, Taohan Ni³

Affiliations

¹ Business School, Ningbo University, Ningbo 315211, China.
² Donghai Academy, Ningbo University, Ningbo 315211, China.
³ Business School, University of Nottingham, Ningbo 315199, China.

Abstract

Based on data from 64 resource-based cities in China from 2010 to 2019, the efficiency of green innovation is evaluated by using the super-efficiency SBM Model with undesired outputs, while influencing factors of green innovation efficiency are analyzed by the spatial Durbin model. The results are as follows. First, as for the efficiency evaluation, the average green innovation efficiency in 62 resource-based cities from 2010 to 2019 is only 0.5689, while the green innovation efficiency of declining cities is the highest, and the growth type is the lowest in the comprehensive planning cities. Second, based on spatial self-correlation in resource-based cities, the government support, and the influencing factors including the industrial structure and economic development, have positive impacts, while the environmental regulations and opening to the outside world will inhibit the urban green innovation. Therefore, to enhance the green innovation efficiency in resource-based cities, some suggestions include formulating differentiated development strategies, forming regional cooperation mechanisms, increasing government scientific and technological support, determining the reasonable intensity of environmental regulations, setting entry barriers for polluting enterprises, and optimizing industrial structure.

Keywords: efficiency evaluation; green innovation in resource-based cities; influencing factors; spatial Durbin model; super-efficiency SBM model with undesired outputs.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

China
Cities
Economic Development*
Efficiency*
Industry

Grants and funding

This research was funded by Ningbo University Research and Innovation Fund Project “Evaluation of green innovation efficiency of resource-based cities under the new development concept and its influencing factors—SBM analysis based on Theil index”(IF2022009), Zhejiang Philosophy and Social Science Planning Project “Research on construction mechanism and path of Ecological Civilization Highland in Zhejiang”, Advanced Humanities and Social Sciences Cultivation Project in Ningbo University in 2022 (Prophase Project of Cultivation) “Research on Synergistic Effect of Reducing Pollution and Carbon” and Ningbo University Research and Innovation Fund Project “Research on the Impact of Internet Finance and the Growth of Construction Enterprises in the Cyclical Context: Based on the Perspective of Operating Cash Flow” (IF2022013).