Provincial Inclusive Green Growth Efficiency in China: Spatial Correlation Network Investigation and Its Influence Factors

Baitong Li, Jian Li (), Chen Liu, Xinyan Yao, Jingxuan Dong and Meijun Xia
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Baitong Li: School of Management, Tianjin University of Technology, Tianjin 300384, China
Jian Li: School of Management, Tianjin University of Technology, Tianjin 300384, China
Chen Liu: China Shanghai Architectural Design & Research Institute. Co., Ltd., Shanghai 200063, China
Xinyan Yao: School of Management, Tianjin University of Technology, Tianjin 300384, China
Jingxuan Dong: School of Management, Tianjin University of Technology, Tianjin 300384, China
Meijun Xia: School of Management, Tianjin University of Technology, Tianjin 300384, China

Land, 2023, vol. 12, issue 3, 1-24

Abstract: Inclusive green growth efficiency (IGGE) analysis is an effective tool for improving coordinated economic, social, and environmental development. This study incorporated the game cross-efficiency DEA to measure the IGGE of 30 provinces in China. Then, the modified spatial gravity model and social network analysis model were applied to construct and analyze the spatial correlation network structure of the IGGE. The quadratic assignment procedure was used to mine the influencing factors that affect the formation and evolution of the spatial correlation network of the IGGE. The results are as follows. (1) During the study period, there were significant differences in the IGGE among the 31 provinces, among which the eastern provinces were higher than the central and western provinces. (2) The spatial correlation of the IGGE presented a complex and multi-threaded network structure, indicating that the IGGE has a noticeable cross-regional spillover effect. Beijing, Tianjin, Zhejiang, Shanghai, Jiangsu, and Guangdong played the role of the “net spillover” block. Qinghai, Guizhou, Guangxi, and the surrounding provinces played the role of the “primary beneficial”. The Yangtze delta and Pearl River Delta economic zone (primarily including Shanghai and Guangdong) acted as a “bridge” to the Yunnan–Guizhou region and the surrounding provinces. (3) The spatial adjacency, degree of openness, economic development, and environmental governance were the prominent factors influencing the formation and evolution of the IGGE spatial correlation network. This work provides an example of constructing an IGGE correlation network while considering various factors, such as the economy, population, and distance. It also could help policymakers clarify the IGGE spatial correlation pattern and the provinces’ roles and potential for IGGE synergic improvement.

Keywords: inclusive green growth efficiency; spatial correlation; influencing factors; game cross-efficiency; social network analysis (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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