Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, China
Social and economic growth in developing countries has heightened the awareness of environmental challenges, with carbon emissions emerging as a particularly pressing concern. However, the impact of economic development on carbon emission intensity has rarely been considered from the perspective of...
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2025-01-01
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| author | Qian Xu Junyi Li Ziqing Lin Shuhuang Wu Ying Yang Zhixin Lu Yingjie Xu Lisi Zha |
| author_facet | Qian Xu Junyi Li Ziqing Lin Shuhuang Wu Ying Yang Zhixin Lu Yingjie Xu Lisi Zha |
| author_sort | Qian Xu |
| collection | DOAJ |
| description | Social and economic growth in developing countries has heightened the awareness of environmental challenges, with carbon emissions emerging as a particularly pressing concern. However, the impact of economic development on carbon emission intensity has rarely been considered from the perspective of economic agglomeration, and the relationships and mechanisms between the two remain poorly understood. We analyzed the impact of economic agglomeration on carbon emission intensity and its spatial spillover effect in Guangdong Province, the most economically advantaged province of China, based on a spatial weight matrix generated using geographic proximity, exploratory spatial data analysis (ESDA), and the spatial Durbin model. Between 2000 and 2019, economic agglomeration and carbon emission intensity in Guangdong Province exhibited persistent upward trajectories, whereas between 2016 and 2019, carbon emission intensity gradually approached zero. Further, 80% of the province’s economic output was concentrated in the Pearl River Delta region. Strong spatial autocorrelation was observed between economic agglomeration and carbon emission intensity in the cities, and the economic agglomeration of the province had a parabolic influence on carbon emission intensity. Carbon emission intensity peaked at an economic agglomeration level of 1.2416 × 10<sup>9</sup> yuan/km<sup>2</sup> and then gradually decreased. The spatial spillover effect of the openness degree on carbon emission intensity was positive, while GDP per capita and industrial structure had negative effects. Further, the economic agglomeration effects of Guangdong Province increased the carbon emission intensity of major cities and smaller neighboring cities. The stacking effect of economic agglomeration between cities also affected the carbon emission intensity of neighboring cities in the region. During the period of rapid urban development, industrial development and population agglomeration increased resource and energy consumption, and positive externalities such as the scale effect and knowledge spillover were not well reflected, resulting in greater overall negative environmental externalities relative to positive environmental externalities. |
| format | Article |
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| institution | Kabale University |
| issn | 2073-445X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
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| series | Land |
| spelling | doaj-art-e364904b4425465ea3f6e1ec8f19b5fe2025-01-24T13:38:17ZengMDPI AGLand2073-445X2025-01-0114119710.3390/land14010197Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, ChinaQian Xu0Junyi Li1Ziqing Lin2Shuhuang Wu3Ying Yang4Zhixin Lu5Yingjie Xu6Lisi Zha7School of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, ChinaGuangdong Guodi Planning Science Technology Co., Ltd., Guangzhou 510650, ChinaSchool of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, ChinaSchool of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, ChinaSchool of Culture Tourism, Guangdong University of Finance & Economics, Guangzhou 510320, ChinaSchool of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, ChinaSchool of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, ChinaSchool of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, ChinaSocial and economic growth in developing countries has heightened the awareness of environmental challenges, with carbon emissions emerging as a particularly pressing concern. However, the impact of economic development on carbon emission intensity has rarely been considered from the perspective of economic agglomeration, and the relationships and mechanisms between the two remain poorly understood. We analyzed the impact of economic agglomeration on carbon emission intensity and its spatial spillover effect in Guangdong Province, the most economically advantaged province of China, based on a spatial weight matrix generated using geographic proximity, exploratory spatial data analysis (ESDA), and the spatial Durbin model. Between 2000 and 2019, economic agglomeration and carbon emission intensity in Guangdong Province exhibited persistent upward trajectories, whereas between 2016 and 2019, carbon emission intensity gradually approached zero. Further, 80% of the province’s economic output was concentrated in the Pearl River Delta region. Strong spatial autocorrelation was observed between economic agglomeration and carbon emission intensity in the cities, and the economic agglomeration of the province had a parabolic influence on carbon emission intensity. Carbon emission intensity peaked at an economic agglomeration level of 1.2416 × 10<sup>9</sup> yuan/km<sup>2</sup> and then gradually decreased. The spatial spillover effect of the openness degree on carbon emission intensity was positive, while GDP per capita and industrial structure had negative effects. Further, the economic agglomeration effects of Guangdong Province increased the carbon emission intensity of major cities and smaller neighboring cities. The stacking effect of economic agglomeration between cities also affected the carbon emission intensity of neighboring cities in the region. During the period of rapid urban development, industrial development and population agglomeration increased resource and energy consumption, and positive externalities such as the scale effect and knowledge spillover were not well reflected, resulting in greater overall negative environmental externalities relative to positive environmental externalities.https://www.mdpi.com/2073-445X/14/1/197economic agglomerationcarbon emission intensityspatial spillover effectGuangdong Province |
| spellingShingle | Qian Xu Junyi Li Ziqing Lin Shuhuang Wu Ying Yang Zhixin Lu Yingjie Xu Lisi Zha Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, China Land economic agglomeration carbon emission intensity spatial spillover effect Guangdong Province |
| title | Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, China |
| title_full | Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, China |
| title_fullStr | Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, China |
| title_full_unstemmed | Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, China |
| title_short | Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, China |
| title_sort | impact of economic agglomeration on carbon emission intensity and its spatial spillover effect a case study of guangdong province china |
| topic | economic agglomeration carbon emission intensity spatial spillover effect Guangdong Province |
| url | https://www.mdpi.com/2073-445X/14/1/197 |
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