Urban population density and energy conservation: Empirical evidence from 276 cities in China
Reducing urban energy consumption is a crucial step towards achieving sustainable urban development. Urban energy plays a fundamental role in urban development, and while previous studies have examined the relationship between population size and energy conservation, the impact of increasing populat...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S240584402402913X |
| _version_ | 1827316461498007552 |
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| author | Yang Wang Guiquan Sun Yingmei Wu Shaojian Wang Xiaoli Yue Hong'ou Zhang |
| author_facet | Yang Wang Guiquan Sun Yingmei Wu Shaojian Wang Xiaoli Yue Hong'ou Zhang |
| author_sort | Yang Wang |
| collection | DOAJ |
| description | Reducing urban energy consumption is a crucial step towards achieving sustainable urban development. Urban energy plays a fundamental role in urban development, and while previous studies have examined the relationship between population size and energy conservation, the impact of increasing population density on per capita energy consumption (PCEC) remains unclear. To achieve urban energy conservation in China, it is vital to comprehend this significant relationship. This study constructs a spatial regression model to examine the relationship between population density and PCEC using 9 years of balanced panel data from 276 cities to fill a gap in the literature. The results of spatial autocorrelation indicate a significant negative relationship and heterogeneity between population density and PCEC. The results of spatial regression show that for every 1% increase in population density, there is a subsequent increase in PCEC of 0.074%. Our findings suggest that lower PCEC correlation is associated with higher urban population density. This study can be a reference for policymakers seeking new energy conservation strategies for urban development. |
| first_indexed | 2024-03-07T21:53:12Z |
| format | Article |
| id | doaj.art-547c249293074e048a747df8d63c66d9 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T23:14:55Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
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| series | Heliyon |
| spelling | doaj.art-547c249293074e048a747df8d63c66d92024-03-17T07:56:39ZengElsevierHeliyon2405-84402024-03-01105e26882Urban population density and energy conservation: Empirical evidence from 276 cities in ChinaYang Wang0Guiquan Sun1Yingmei Wu2Shaojian Wang3Xiaoli Yue4Hong'ou Zhang5Faculty of Geography, Yunnan Normal University, Kunming 650500, ChinaFaculty of Geography, Yunnan Normal University, Kunming 650500, China; Corresponding author.Faculty of Geography, Yunnan Normal University, Kunming 650500, ChinaGuangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, ChinaFaculty of Geography, Yunnan Normal University, Kunming 650500, China; Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, ChinaGuangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, ChinaReducing urban energy consumption is a crucial step towards achieving sustainable urban development. Urban energy plays a fundamental role in urban development, and while previous studies have examined the relationship between population size and energy conservation, the impact of increasing population density on per capita energy consumption (PCEC) remains unclear. To achieve urban energy conservation in China, it is vital to comprehend this significant relationship. This study constructs a spatial regression model to examine the relationship between population density and PCEC using 9 years of balanced panel data from 276 cities to fill a gap in the literature. The results of spatial autocorrelation indicate a significant negative relationship and heterogeneity between population density and PCEC. The results of spatial regression show that for every 1% increase in population density, there is a subsequent increase in PCEC of 0.074%. Our findings suggest that lower PCEC correlation is associated with higher urban population density. This study can be a reference for policymakers seeking new energy conservation strategies for urban development.http://www.sciencedirect.com/science/article/pii/S240584402402913XPopulation densityEnergy conservationSpatial autocorrelationSpatial regression models |
| spellingShingle | Yang Wang Guiquan Sun Yingmei Wu Shaojian Wang Xiaoli Yue Hong'ou Zhang Urban population density and energy conservation: Empirical evidence from 276 cities in China Heliyon Population density Energy conservation Spatial autocorrelation Spatial regression models |
| title | Urban population density and energy conservation: Empirical evidence from 276 cities in China |
| title_full | Urban population density and energy conservation: Empirical evidence from 276 cities in China |
| title_fullStr | Urban population density and energy conservation: Empirical evidence from 276 cities in China |
| title_full_unstemmed | Urban population density and energy conservation: Empirical evidence from 276 cities in China |
| title_short | Urban population density and energy conservation: Empirical evidence from 276 cities in China |
| title_sort | urban population density and energy conservation empirical evidence from 276 cities in china |
| topic | Population density Energy conservation Spatial autocorrelation Spatial regression models |
| url | http://www.sciencedirect.com/science/article/pii/S240584402402913X |
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