Spatial Effects of Urban Agglomeration on Energy Efficiency: Evidence from China
The rapid expansion of large cities in China has substantially increased energy consumption. With ever stringent environmental policy in force, energy efficiency becomes an important issue. As the emergence of these urban agglomerations (UAs) is usually due to externality effects of spatially concen...
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doaj-2230707af3d24fdba827f55580bf22ed2020-11-25T02:23:36ZengMDPI AGSustainability2071-10502020-04-01123338333810.3390/su12083338Spatial Effects of Urban Agglomeration on Energy Efficiency: Evidence from ChinaJiang Du0Mengqin Zhao1Ming Zeng2Kezhen Han3Huaping Sun4School of Economics, Sichuan University, Chengdu 610065, ChinaSchool of Economics, Sichuan University, Chengdu 610065, ChinaSchool of Economics, Sichuan University, Chengdu 610065, ChinaSchool of Economics, Sichuan University, Chengdu 610065, ChinaInstitute of Industrial Economics, Jiangsu University, Zhenjiang 212013, ChinaThe rapid expansion of large cities in China has substantially increased energy consumption. With ever stringent environmental policy in force, energy efficiency becomes an important issue. As the emergence of these urban agglomerations (UAs) is usually due to externality effects of spatially concentrated factors, this paper investigates how these factors can affect energy efficiency. Based on mono index, which is used to describe the spatial location information, we have constructed the spatial-structure index of UAs. Using panel data on ten major UAs in China from 2008 to 2017, we find that, in the whole sample, there is an inverse relationship between the spatial structure of UAs and energy efficiency: The higher the concentration degree of factors of UAs, the lower the energy efficiency. Across different regions, however, the relationship between spatial structure and energy efficiency is heterogeneous. The concentration degree of factors in the eastern and central regions of China is relatively high, and the spatial structure there does lead to a decrease in energy efficiency. By contrast, UAs in China’s western region are in a period of factor concentration, with spatial structure playing, in that region, a positive role in improving energy efficiency.https://www.mdpi.com/2071-1050/12/8/3338spatial structureurban agglomerationenergy efficiencymono index |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jiang Du Mengqin Zhao Ming Zeng Kezhen Han Huaping Sun |
spellingShingle |
Jiang Du Mengqin Zhao Ming Zeng Kezhen Han Huaping Sun Spatial Effects of Urban Agglomeration on Energy Efficiency: Evidence from China Sustainability spatial structure urban agglomeration energy efficiency mono index |
author_facet |
Jiang Du Mengqin Zhao Ming Zeng Kezhen Han Huaping Sun |
author_sort |
Jiang Du |
title |
Spatial Effects of Urban Agglomeration on Energy Efficiency: Evidence from China |
title_short |
Spatial Effects of Urban Agglomeration on Energy Efficiency: Evidence from China |
title_full |
Spatial Effects of Urban Agglomeration on Energy Efficiency: Evidence from China |
title_fullStr |
Spatial Effects of Urban Agglomeration on Energy Efficiency: Evidence from China |
title_full_unstemmed |
Spatial Effects of Urban Agglomeration on Energy Efficiency: Evidence from China |
title_sort |
spatial effects of urban agglomeration on energy efficiency: evidence from china |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-04-01 |
description |
The rapid expansion of large cities in China has substantially increased energy consumption. With ever stringent environmental policy in force, energy efficiency becomes an important issue. As the emergence of these urban agglomerations (UAs) is usually due to externality effects of spatially concentrated factors, this paper investigates how these factors can affect energy efficiency. Based on mono index, which is used to describe the spatial location information, we have constructed the spatial-structure index of UAs. Using panel data on ten major UAs in China from 2008 to 2017, we find that, in the whole sample, there is an inverse relationship between the spatial structure of UAs and energy efficiency: The higher the concentration degree of factors of UAs, the lower the energy efficiency. Across different regions, however, the relationship between spatial structure and energy efficiency is heterogeneous. The concentration degree of factors in the eastern and central regions of China is relatively high, and the spatial structure there does lead to a decrease in energy efficiency. By contrast, UAs in China’s western region are in a period of factor concentration, with spatial structure playing, in that region, a positive role in improving energy efficiency. |
topic |
spatial structure urban agglomeration energy efficiency mono index |
url |
https://www.mdpi.com/2071-1050/12/8/3338 |
work_keys_str_mv |
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1724858602991124480 |