Issue |
E3S Web Conf.
Volume 236, 2021
3rd International Conference on Energy Resources and Sustainable Development (ICERSD 2020)
|
|
---|---|---|
Article Number | 01033 | |
Number of page(s) | 8 | |
Section | Development, Utilization and Protection of Traditional Energy Resources | |
DOI | https://doi.org/10.1051/e3sconf/202123601033 | |
Published online | 09 February 2021 |
The Influence of Urban Sprawl on Household Power Intensity——Evidence from China's Urban Panel Data
1 School of economics and management, Southeast University, Nanjing, P. R. China
2 Research Department, Shandong Jiaotong University, Jinan, P. R. China
3 School of Economics, Shandong University of Finance and Economics, Jinan, P. R. China
a Corresponding author:lxiuyan320@seu.edu.cn(Xiuyan Liu)
The paper measures the yearly urban sprawl index and household power intensity of 285 prefecture-level and Municipality cities in China from 2004 to 2017. Through the establishment of a fixed effect model, random effect model and systematic GMM model, this paper empirically analyze the impact of urban sprawl on household power intensity, and found that there is a significant and positive effect of urban sprawl on household power intensity, that is, the higher the urban sprawl, the lower the efficiency of household electricity energy utilization will be, and this effect has a cogent robustness. On this basis, the establishment of a mediating effect model found that population agglomeration playes a significant role of the partial mediating effect in the process of urban sprawl affecting household power intensity. The conclusion of this paper provides some policy implications for the scientific and reasonable urban planning in the process of urbanization in China from the perspective of optimizing household power intensity.
© The Authors, published by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.