Can fiscal decentralisation regulate the impact of industrial structure on energy efficiency?

Abstract

This study applies the slack-based measure-data envelopment analysis (SBM-DEA) method to measure energy efficiency and tests the spatial spill-over effects of fiscal decentralisation, industrial structure and energy efficiency using the spatial Durbin model. The results show that China's energy efficiency presents a clear geographical step distribution, and the Eastern and Western regions have higher energy efficiency than the Central region. Fiscal decentralisation has a positive effect on the energy efficiency of the Eastern and Central regions by upgrading the industrial structure. In addition, fiscal decentralisation has significant, positive externalities on the surrounding areas, promoting environmental protection and energy conservation in all regions of China. The results are in line with the tenets of environmental federalism (Oates & Schwab): through the allocation and transfer of industrial factors, fiscal decentralisation affects energy governance. Therefore, local governments should formulate policies and targets according to their regions' different economic development levels, and the Central and Western areas, which have greater space for improvement and low energy efficiency, should receive attention to balance regional differences.

Research on the Impact of Green Technology Innovation on Energy Total Factor Productivity, Based on Provincial Data of China

“…From the perspective of the innovation system, the improvement of energy TFP by technological innovation is to reduce the leakage in the process of energy use by means of process transformation, and then to improve the total factor productivity of energy. From the perspective of industrial ecological chain, technological innovation promotes the upgrading of the regional structure and the exchange and cooperation between the industrial structure, and innovation jointly promotes technological innovation and industrial structure upgrading (Greunz, 2004;Motohashi and Yun, 2007;Altenburg et al, 2008), and adjusting industrial structure can improve energy utilization efficiency as well (Zhao et al, 2010;Zhou et al, 2013;Yu et al, 2016;Wang et al, 2020). The technical level of energy TFP production depends on the technological innovation ability; empirical results show that the enhancement of technological innovation ability can effectively improve energy efficiency and reduce energy consumption intensity (Du and Yan, 2009;Zhong and Li, 2020).…”

Can the Profitability of Medical Enterprises Be Improved After Joining China's Centralized Drug Procurement? A Difference-in-Difference Design

“…Based on the panel data of 65 generic drug-listed companies in China from 2011 to 2020, this paper uses the double-difference method to evaluate the impact of drug centralized procurement policy of China on the net profit of enterprises and draws the following conclusions: first, before the implementation of the policy, the difference between successful enterprises and unsuccessful enterprises is not obvious. After the implementation of the policy, the net profit of the winning enterprise decreased significantly ( 25 , 56 – 58 ). Therefore, centralized drug procurement policy of China is not conducive to the improvement of enterprise net profit in the short term, and the effect is more obvious with the increase of policy implementation years.…”

Fiscal Decentralization and Environmental Pollution Control

“…The study also revealed that the impact on China's east was much greater than in the country's center and western areas. Wang et al [19] used slack-based measure-data envelopment analysis (SBM-DEA) approach to assess energy efficiency, and the spatial Durbin model was used to examine the geographic spill-over impacts of fiscal decentralization, industrial structure, and energy efficiency. According to the findings, China's energy efficiency has a distinct geographical step distribution, with the Eastern and Western areas having better energy efficiency than the Central region.…”