Javascript must be enabled to continue!
Research on the Impact of Power Industry Agglomeration on the Development of Energy Industry—Empirical Evidence From China's Provincial Panel
View through CrossRef
ABSTRACT
Under the background of Global Climate Governance and “double carbon” goals, power industry agglomeration is an important path to promote the development of energy industry, and its mechanism and impact effect need to be further explored. Based on the panel data of 30 provinces in China from 2001 to 2021, this paper constructs a two‐dimensional index (TLQ) by improving the location entropy method to measure the level of power industry agglomeration, and empirically tests its nonlinear impact and spatial spillover effect on the development of China's energy industry by using the spatial Durbin model (SDM). The results show that: (1) China's power industry has formed significant agglomeration characteristics, and the TLQ value of 23 provinces is more than 1, showing regional differences in agglomeration level; (2) The optimal agglomeration level is 1.158, and the marginal benefit decreases when it exceeds the threshold; (3) The spatial effect analysis shows that the power industry agglomeration in adjacent areas has a positive spillover effect on the energy transformation in the region, and the spatial linkage effect of fiscal expenditure, resource endowment and other control variables is significant; (4) The heterogeneity test shows that the demand for power industry agglomeration in underdeveloped regions is more urgent, and its optimal agglomeration level (1.325) is higher than that in developed regions (1.176). Based on this, this paper suggests that the government should guide the layout of the power industry in a differentiated way, optimize the scale of agglomeration, and strengthen cross‐regional collaboration, so as to give full play to the positive role of agglomeration effect in the transformation of energy structure and help achieve the goal of “double carbon” with high quality.
Title: Research on the Impact of Power Industry Agglomeration on the Development of Energy Industry—Empirical Evidence From China's Provincial Panel
Description:
ABSTRACT
Under the background of Global Climate Governance and “double carbon” goals, power industry agglomeration is an important path to promote the development of energy industry, and its mechanism and impact effect need to be further explored.
Based on the panel data of 30 provinces in China from 2001 to 2021, this paper constructs a two‐dimensional index (TLQ) by improving the location entropy method to measure the level of power industry agglomeration, and empirically tests its nonlinear impact and spatial spillover effect on the development of China's energy industry by using the spatial Durbin model (SDM).
The results show that: (1) China's power industry has formed significant agglomeration characteristics, and the TLQ value of 23 provinces is more than 1, showing regional differences in agglomeration level; (2) The optimal agglomeration level is 1.
158, and the marginal benefit decreases when it exceeds the threshold; (3) The spatial effect analysis shows that the power industry agglomeration in adjacent areas has a positive spillover effect on the energy transformation in the region, and the spatial linkage effect of fiscal expenditure, resource endowment and other control variables is significant; (4) The heterogeneity test shows that the demand for power industry agglomeration in underdeveloped regions is more urgent, and its optimal agglomeration level (1.
325) is higher than that in developed regions (1.
176).
Based on this, this paper suggests that the government should guide the layout of the power industry in a differentiated way, optimize the scale of agglomeration, and strengthen cross‐regional collaboration, so as to give full play to the positive role of agglomeration effect in the transformation of energy structure and help achieve the goal of “double carbon” with high quality.
Related Results
LB2306. Population Pharmacokinetic (PPK), Pharmacokinetic/Pharmacodynamic attainment (PTA), and Clinical Pharmacokinetic/Pharmacodynamic (PK/PD) Analyses for Sulbactam-Durlobactam (SUL-DUR) to Support Dose Selection for the Treatment of Acinetobacter baum
LB2306. Population Pharmacokinetic (PPK), Pharmacokinetic/Pharmacodynamic attainment (PTA), and Clinical Pharmacokinetic/Pharmacodynamic (PK/PD) Analyses for Sulbactam-Durlobactam (SUL-DUR) to Support Dose Selection for the Treatment of Acinetobacter baum
Abstract
Background
SUL-DUR is a β-lactam/β-lactamase inhibitor combination in development for the treatment of ABC infections, ...
619. Pharmacokinetic-Pharmacodynamic (PK-PD) Target Attainment Analyses to Support Epetraborole Dose Selection for the Treatment of Patients with Mycobacterium avium Complex (MAC) Lung Disease
619. Pharmacokinetic-Pharmacodynamic (PK-PD) Target Attainment Analyses to Support Epetraborole Dose Selection for the Treatment of Patients with Mycobacterium avium Complex (MAC) Lung Disease
Abstract
Background
Epetraborole (EBO) is an orally available, bacterial leucyl transfer RNA synthetase inhibitor that concentra...
Measuring Energy Storage Industry Agglomeration: Evidence from China
Measuring Energy Storage Industry Agglomeration: Evidence from China
Industrial agglomeration is an inevitable path for the energy storage industry to develop on a large scale. Based on the database of listed companies in China’s A-share market, the...
Agglomeration and total factor productivity of China’s textile industry
Agglomeration and total factor productivity of China’s textile industry
Agglomeration is an important characteristic in China’s textile industry development. But regional textile industry isseriously unbalanced, only e...
593. Population Pharmacokinetic Model Development for Epetraborole and Mycobacterium avium Complex (MAC) Lung Disease Patients Using Data from Phase 1 and 2 Studies
593. Population Pharmacokinetic Model Development for Epetraborole and Mycobacterium avium Complex (MAC) Lung Disease Patients Using Data from Phase 1 and 2 Studies
Abstract
Background
Epetraborole (EBO), an orally available bacterial leucyl transfer RNA synthetase inhibitor with potent activ...
Doklam Standoff Resolution: Interview of Major General S B Asthana by SCMP
Doklam Standoff Resolution: Interview of Major General S B Asthana by SCMP
(Views of Major General S B Asthana,SM,VSM, (Veteran), Questioned by Jiangtao Shi of South China Morning Post on 29 August 2017.Question 1 (SCMP)Are you surprised that the over 70-...
A Study of the Spatial Mechanism of Financial Agglomeration Affecting Green Low-Carbon Development: Evidence from China
A Study of the Spatial Mechanism of Financial Agglomeration Affecting Green Low-Carbon Development: Evidence from China
China has stepped into the assertive stage of transforming the economic development mode and economic growth momentum, while green and low-carbon development is undoubtedly the way...
The impact of agricultural production agglomeration on agricultural economic resilience: based on spatial spillover and threshold effect test
The impact of agricultural production agglomeration on agricultural economic resilience: based on spatial spillover and threshold effect test
This study focuses on the role of agricultural production agglomeration in strengthening agricultural economic resilience, exploring the threshold effect of agricultural technologi...

