Modeling the Spatial Correlations among Energy Consumption, Economic Growth, and the Ecological Environment
To clarify whether there is a spatial correlation problem among China’s provincial energy consumption, economic growth, and ecological environment, this paper adopts the panel data of 31 provinces in China from 2008 to 2019 and uses a spatial data analysis method. This work studies economic growth a...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2021/9685804 |
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| author | Feng Zhao Yi Sun Jie Zhang Pingping Sun |
| author_facet | Feng Zhao Yi Sun Jie Zhang Pingping Sun |
| author_sort | Feng Zhao |
| collection | DOAJ |
| description | To clarify whether there is a spatial correlation problem among China’s provincial energy consumption, economic growth, and ecological environment, this paper adopts the panel data of 31 provinces in China from 2008 to 2019 and uses a spatial data analysis method. This work studies economic growth and the spatial distribution pattern of the ecological environment, as well as the spatial effects of its energy consumption and economic growth on the ecological environment. Moreover, the spatial autocorrelation model, spatial-temporal transition method, and generalized moment estimation method are adopted to conduct empirical analysis on the research object. The results show that (1) there are spatial correlations among energy consumption, economic growth, and the ecological environment in China’s provinces, and there are obviously different agglomeration areas in spatial distribution; (2) energy consumption, economic growth, and the ecological environment level show different growth trends, and the differences between different provinces in provincial units are shrinking; and (3) regarding energy consumption, the spatial impact of economic growth on the ecological environment is obvious, and there are obvious “path dependence” characteristics in the spatial distribution and positive correlations. Finally, this paper puts forward research conclusions and relevant suggestions on the basis of empirical analysis. |
| format | Article |
| id | doaj-art-20d8a092a9674b3caebe739d8439aefd |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-20d8a092a9674b3caebe739d8439aefd2025-02-03T01:27:02ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/96858049685804Modeling the Spatial Correlations among Energy Consumption, Economic Growth, and the Ecological EnvironmentFeng Zhao0Yi Sun1Jie Zhang2Pingping Sun3School of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, ChinaSchool of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, ChinaSchool of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, ChinaSchool of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, ChinaTo clarify whether there is a spatial correlation problem among China’s provincial energy consumption, economic growth, and ecological environment, this paper adopts the panel data of 31 provinces in China from 2008 to 2019 and uses a spatial data analysis method. This work studies economic growth and the spatial distribution pattern of the ecological environment, as well as the spatial effects of its energy consumption and economic growth on the ecological environment. Moreover, the spatial autocorrelation model, spatial-temporal transition method, and generalized moment estimation method are adopted to conduct empirical analysis on the research object. The results show that (1) there are spatial correlations among energy consumption, economic growth, and the ecological environment in China’s provinces, and there are obviously different agglomeration areas in spatial distribution; (2) energy consumption, economic growth, and the ecological environment level show different growth trends, and the differences between different provinces in provincial units are shrinking; and (3) regarding energy consumption, the spatial impact of economic growth on the ecological environment is obvious, and there are obvious “path dependence” characteristics in the spatial distribution and positive correlations. Finally, this paper puts forward research conclusions and relevant suggestions on the basis of empirical analysis.http://dx.doi.org/10.1155/2021/9685804 |
| spellingShingle | Feng Zhao Yi Sun Jie Zhang Pingping Sun Modeling the Spatial Correlations among Energy Consumption, Economic Growth, and the Ecological Environment Discrete Dynamics in Nature and Society |
| title | Modeling the Spatial Correlations among Energy Consumption, Economic Growth, and the Ecological Environment |
| title_full | Modeling the Spatial Correlations among Energy Consumption, Economic Growth, and the Ecological Environment |
| title_fullStr | Modeling the Spatial Correlations among Energy Consumption, Economic Growth, and the Ecological Environment |
| title_full_unstemmed | Modeling the Spatial Correlations among Energy Consumption, Economic Growth, and the Ecological Environment |
| title_short | Modeling the Spatial Correlations among Energy Consumption, Economic Growth, and the Ecological Environment |
| title_sort | modeling the spatial correlations among energy consumption economic growth and the ecological environment |
| url | http://dx.doi.org/10.1155/2021/9685804 |
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