Spatio-Temporal Variation of Carbon Emission Intensity and Spatial Heterogeneity of Influencing Factors in the Yangtze River Delta
The Yangtze River Delta plays an important strategic role in China’s economic development pattern, and its carbon emission intensity, which reflects the development of a low-carbon economy, has attracted much attention. From the perspective of the city-level, this study uses the coefficient of varia...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/14/1/163 |
| _version_ | 1797446204299149312 |
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| author | Jianhui Xu Yuanyuan Li Feng Hu Li Wang Kai Wang Wenhao Ma Ning Ruan Weizong Jiang |
| author_facet | Jianhui Xu Yuanyuan Li Feng Hu Li Wang Kai Wang Wenhao Ma Ning Ruan Weizong Jiang |
| author_sort | Jianhui Xu |
| collection | DOAJ |
| description | The Yangtze River Delta plays an important strategic role in China’s economic development pattern, and its carbon emission intensity, which reflects the development of a low-carbon economy, has attracted much attention. From the perspective of the city-level, this study uses the coefficient of variation, spatial autocorrelation and the Multi-scale Geographically Weighted Regression (MGWR) model to study the spatio-temporal characteristics of carbon emission intensity in the Yangtze River Delta from 1997 to 2017 and the spatial heterogeneity of its influencing factors. The results indicated that: (1) the carbon emission intensity in the Yangtze River Delta increased first and then decreased during the sample period, and the number of low-carbon emission intensity zones decreased first and then increased. (2) Through the coefficient of variation analysis, it is known that the ratio of nugget value to base value is much less than 25%, indicating that the correlation between the cities in the Yangtze River Delta is becoming more and more obvious, the spatial difference is becoming smaller, and the integration level is growing higher and higher. (3) The carbon emission intensity of the Yangtze River Delta has a strong positive spatial correlation, and the carbon emission intensity of the Yangtze River Delta decreases from the north to the south. (4) The effect of population size on carbon emission intensity is bidirectional, but the inhibition effect is greater than the promotion effect, and the average regression coefficient is −0.0796; the average regression coefficient of economic development level is 0.3674, and the average regression coefficient of industrial structure is 0.1702, both of which have a positive impact on carbon emission intensity. The degree of urbanization has a bidirectional effect, and the regression coefficient ranges from −0.920 to 0.091, and the negative effect is quite strong. Additionally, each factor has spatial heterogeneity. |
| first_indexed | 2024-03-09T13:37:59Z |
| format | Article |
| id | doaj.art-44a3633ddf6a4b4e9ae0ee2ec6ab852f |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T13:37:59Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-44a3633ddf6a4b4e9ae0ee2ec6ab852f2023-11-30T21:10:18ZengMDPI AGAtmosphere2073-44332023-01-0114116310.3390/atmos14010163Spatio-Temporal Variation of Carbon Emission Intensity and Spatial Heterogeneity of Influencing Factors in the Yangtze River DeltaJianhui Xu0Yuanyuan Li1Feng Hu2Li Wang3Kai Wang4Wenhao Ma5Ning Ruan6Weizong Jiang7School of Geographic Information and Tourism, Chuzhou University, Chuzhou 239000, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou 239000, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou 239000, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou 239000, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou 239000, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou 239000, ChinaSchool of Resources and Environmental Engineering, Anhui University, Hefei 230039, ChinaSchool of Resources and Environmental Engineering, Anhui University, Hefei 230039, ChinaThe Yangtze River Delta plays an important strategic role in China’s economic development pattern, and its carbon emission intensity, which reflects the development of a low-carbon economy, has attracted much attention. From the perspective of the city-level, this study uses the coefficient of variation, spatial autocorrelation and the Multi-scale Geographically Weighted Regression (MGWR) model to study the spatio-temporal characteristics of carbon emission intensity in the Yangtze River Delta from 1997 to 2017 and the spatial heterogeneity of its influencing factors. The results indicated that: (1) the carbon emission intensity in the Yangtze River Delta increased first and then decreased during the sample period, and the number of low-carbon emission intensity zones decreased first and then increased. (2) Through the coefficient of variation analysis, it is known that the ratio of nugget value to base value is much less than 25%, indicating that the correlation between the cities in the Yangtze River Delta is becoming more and more obvious, the spatial difference is becoming smaller, and the integration level is growing higher and higher. (3) The carbon emission intensity of the Yangtze River Delta has a strong positive spatial correlation, and the carbon emission intensity of the Yangtze River Delta decreases from the north to the south. (4) The effect of population size on carbon emission intensity is bidirectional, but the inhibition effect is greater than the promotion effect, and the average regression coefficient is −0.0796; the average regression coefficient of economic development level is 0.3674, and the average regression coefficient of industrial structure is 0.1702, both of which have a positive impact on carbon emission intensity. The degree of urbanization has a bidirectional effect, and the regression coefficient ranges from −0.920 to 0.091, and the negative effect is quite strong. Additionally, each factor has spatial heterogeneity.https://www.mdpi.com/2073-4433/14/1/163carbon emission intensityspatial heterogeneityMGWR modelinfluencing factorsYangtze River Delta |
| spellingShingle | Jianhui Xu Yuanyuan Li Feng Hu Li Wang Kai Wang Wenhao Ma Ning Ruan Weizong Jiang Spatio-Temporal Variation of Carbon Emission Intensity and Spatial Heterogeneity of Influencing Factors in the Yangtze River Delta Atmosphere carbon emission intensity spatial heterogeneity MGWR model influencing factors Yangtze River Delta |
| title | Spatio-Temporal Variation of Carbon Emission Intensity and Spatial Heterogeneity of Influencing Factors in the Yangtze River Delta |
| title_full | Spatio-Temporal Variation of Carbon Emission Intensity and Spatial Heterogeneity of Influencing Factors in the Yangtze River Delta |
| title_fullStr | Spatio-Temporal Variation of Carbon Emission Intensity and Spatial Heterogeneity of Influencing Factors in the Yangtze River Delta |
| title_full_unstemmed | Spatio-Temporal Variation of Carbon Emission Intensity and Spatial Heterogeneity of Influencing Factors in the Yangtze River Delta |
| title_short | Spatio-Temporal Variation of Carbon Emission Intensity and Spatial Heterogeneity of Influencing Factors in the Yangtze River Delta |
| title_sort | spatio temporal variation of carbon emission intensity and spatial heterogeneity of influencing factors in the yangtze river delta |
| topic | carbon emission intensity spatial heterogeneity MGWR model influencing factors Yangtze River Delta |
| url | https://www.mdpi.com/2073-4433/14/1/163 |
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