Revisiting the nexus between financial agglomeration and energy efficiency: A spatial spillover approach

2022-09-15
Revisiting the nexus between financial agglomeration and energy efficiency: A spatial spillover approach
Autoriai:dr. Tomas BaležentisEKVIFengrong Wang Chenxi Zhang William Mbanyele Hongyun Huang

Abstract

 

Financial agglomeration (FA) may play an essential role in enhancing energy efficiency (EE) and, thus, is important from both theoretical and empirical viewpoints. However, few studies have investigated the causal nonlinear relationship between FA and EE. Hence, we first extend the novel ray slacksbased measure with global technology to evaluate the urban EE in China during 2003-2018. Next, we reexamine the nonlinear causality of FA on EE and then explore the underlying impact mechanism. The empirical results show that China’s urban EE is generally relatively low with distinct patterns of regional differences. Moreover, we find that the causal relationship between FA and EE follows an inverted U-shaped function rather than a linear one. FA promotes the improvement of EE only up to a certain threshold point, after which it reverses into an inhibitory effect. A further analysis based on the two-regime spatial Durbin panel model suggests that FA can indeed improve the EE of surrounding cities through positive externalities when the degree of FA in focal cities is not substantially greater than that in surrounding cities. However, when financial resources absorbed in certain focal cities become increasingly higher than that in most surrounding cities, the positive spillover effect would gradually disappear and even reverse into an undesirable siphon, thereby inhibiting the improvement of overall EE. These findings provide new insights for understanding the role of FA in sustainable development.

 

Wang, F.; Zhang, C.; Mbanyele, W.; Huang, H.; Baležentis, T. 2022. Revisiting the nexus between financial agglomeration and energy efficiency: A spatial spillover approach. Energy sources, Part B: Economics, planning and policy : Taylor & Francis. ISSN 1556-7249. eISSN 1556-7257. 17, 1, 2118902, p. 1–23. DOI:10.1080/15567249.2022.2118902. [Scopus; Science Citation Index Expanded (Web of Science)].

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