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The Spatial Pattern of the Prefecture-Level Carbon Emissions and Its Spatial Mismatch in China with the Level of Economic Development

Author

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  • Zedong Yang

    (Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi 830046, China
    School of Economics and Management, Xinjiang University, Urumqi 830046, China)

  • Hui Sun

    (Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi 830046, China
    School of Economics and Management, Xinjiang University, Urumqi 830046, China)

  • Weipeng Yuan

    (Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi 830046, China
    School of Economics and Management, Xinjiang University, Urumqi 830046, China)

  • Xuechao Xia

    (Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi 830046, China
    School of Economics and Management, Xinjiang University, Urumqi 830046, China)

Abstract

Now, more and more attention is being paid to the deviation between economic benefits and environmental costs. Therefore, the research investigated the temporal variation in, and the spatial pattern of, carbon emissions systematically from the prefecture-level cities in China, and the spatial mismatch with the level of economic development from 2005 to 2020 by the spatial autocorrelation, the barycenter model, the spatial mismatch index and the standard deviation ellipse. The research results showed that: (1) The prefecture-level carbon emissions showed the characteristics of continuous expansion in time, decreasing from the north to the south and increasing from the southeast to the north-west in space. (2) The spatial distribution of high and low values of the prefecture-level carbon emissions in China showed significant spatial aggregation and positive correlation. Among them, the high-high (H-H) regions were mainly distributed in the city agglomerations of the mid-southern Liaoning, Beijing-Tianjin-Hebei, Huebaoyu, central Shanxi, Shandong Peninsula, and Yangtze River Delta. Low-low (L-L) regions continued to accelerate to the middle reaches of the Yangtze River, Guangdong, Fujian, Zhejiang and Macao, Pearl River Delta, Beibu Gulf, central Yunnan, central Guizhou, Chengdu-Chongqing, and other city agglomerations. (3) The barycenter of the carbon emissions has always been located in the north of the barycenter of economic development, and the spatial mismatch distance between the two showed the change characteristic of the type of N. It can be seen that the spatial mismatch was apparent. (4) The mismatch index and the mismatch contribution of the cities showed a significant regional differentiation pattern, decreasing from the east to the west.

Suggested Citation

  • Zedong Yang & Hui Sun & Weipeng Yuan & Xuechao Xia, 2022. "The Spatial Pattern of the Prefecture-Level Carbon Emissions and Its Spatial Mismatch in China with the Level of Economic Development," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10209-:d:890456
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    References listed on IDEAS

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    1. Richard W. Martin, 2004. "Spatial Mismatch and the Structure of American Metropolitan Areas, 1970–2000," Journal of Regional Science, Wiley Blackwell, vol. 44(3), pages 467-488, August.
    2. Fang, Kai & Tang, Yiqi & Zhang, Qifeng & Song, Junnian & Wen, Qi & Sun, Huaping & Ji, Chenyang & Xu, Anqi, 2019. "Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces," Applied Energy, Elsevier, vol. 255(C).
    3. Piaggio, Matías & Padilla, Emilio & Román, Carolina, 2017. "The long-term relationship between CO2 emissions and economic activity in a small open economy: Uruguay 1882–2010," Energy Economics, Elsevier, vol. 65(C), pages 271-282.
    4. Ma, Qiang & Murshed, Muntasir & Khan, Zeeshan, 2021. "The nexuses between energy investments, technological innovations, emission taxes, and carbon emissions in China," Energy Policy, Elsevier, vol. 155(C).
    5. Cathy Yang Liu & Gary Painter, 2012. "Immigrant Settlement and Employment Suburbanisation in the US," Urban Studies, Urban Studies Journal Limited, vol. 49(5), pages 979-1002, April.
    6. Anne Ballantyne & Victoria Wibeck & Tina-Simone Neset, 2016. "Images of climate change – a pilot study of young people’s perceptions of ICT-based climate visualization," Climatic Change, Springer, vol. 134(1), pages 73-85, January.
    7. Ruihao Cui & Jiazheng Han & Zhenqi Hu, 2022. "Assessment of Spatial Temporal Changes of Ecological Environment Quality: A Case Study in Huaibei City, China," Land, MDPI, vol. 11(6), pages 1-19, June.
    8. Ahmad, Ashfaq & Zhao, Yuhuan & Shahbaz, Muhammad & Bano, Sadia & Zhang, Zhonghua & Wang, Song & Liu, Ya, 2016. "Carbon emissions, energy consumption and economic growth: An aggregate and disaggregate analysis of the Indian economy," Energy Policy, Elsevier, vol. 96(C), pages 131-143.
    9. Hui Peng & Yifan Wang & Yisha Hu & Hong Shen, 2020. "Agglomeration Production, Industry Association and Carbon Emission Performance: Based on Spatial Analysis," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    10. Martin, Richard W., 2001. "The Adjustment of Black Residents to Metropolitan Employment Shifts: How Persistent Is Spatial Mismatch?," Journal of Urban Economics, Elsevier, vol. 50(1), pages 52-76, July.
    11. Wei, Taoyuan & Zhu, Qin & Glomsrød, Solveig, 2018. "How Will Demographic Characteristics of the Labor Force Matter for the Global Economy and Carbon Dioxide Emissions?," Ecological Economics, Elsevier, vol. 147(C), pages 197-207.
    12. Wu, Rui & Dai, Hancheng & Geng, Yong & Xie, Yang & Tian, Xu, 2019. "Impacts of export restructuring on national economy and CO2 emissions: A general equilibrium analysis for China," Applied Energy, Elsevier, vol. 248(C), pages 64-78.
    13. Kaizheng Xiang & Anzhou Zhao & Haixin Liu & Xiangrui Zhang & Anbing Zhang & Xinle Tian & Zihan Jin, 2022. "Spatiotemporal Evolution and Coupling Pattern Analysis of Urbanization and Ecological Environmental Quality of the Chinese Loess Plateau," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    14. Lei Ma & Mei Song, 2022. "Approaches to Carbon Emission Reductions and Technology in China’s Chemical Industry to Achieve Carbon Neutralization," Energies, MDPI, vol. 15(15), pages 1-12, July.
    15. Nian, Victor & Chou, S.K. & Su, Bin & Bauly, John, 2014. "Life cycle analysis on carbon emissions from power generation – The nuclear energy example," Applied Energy, Elsevier, vol. 118(C), pages 68-82.
    16. Abbasi, Faiza & Riaz, Khalid, 2016. "CO2 emissions and financial development in an emerging economy: An augmented VAR approach," Energy Policy, Elsevier, vol. 90(C), pages 102-114.
    17. Zhang, Jie & Zhang, Ke & Zhao, Feng, 2020. "Research on the regional spatial effects of green development and environmental governance in China based on a spatial autocorrelation model," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 1-11.
    18. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    19. Anne Gammelgaard Ballantyne & Victoria Wibeck & Tina-Simone Neset, 2016. "Images of climate change – a pilot study of young people’s perceptions of ICT-based climate visualization," Climatic Change, Springer, vol. 134(1), pages 73-85, January.
    20. Wu, Haitao & Xu, Lina & Ren, Siyu & Hao, Yu & Yan, Guoyao, 2020. "How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model," Resources Policy, Elsevier, vol. 67(C).
    21. Liu, Jin & Tian, Jiayu & Lyu, Wenjing & Yu, Yitian, 2022. "The impact of COVID-19 on reducing carbon emissions: From the angle of international student mobility," Applied Energy, Elsevier, vol. 317(C).
    22. John F. Kain, 1968. "Housing Segregation, Negro Employment, and Metropolitan Decentralization," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 82(2), pages 175-197.
    23. Ma, Qiang & Tariq, Muhammad & Mahmood, Haider & Khan, Zeeshan, 2022. "The nexus between digital economy and carbon dioxide emissions in China: The moderating role of investments in research and development," Technology in Society, Elsevier, vol. 68(C).
    24. Yang, Jun & Hao, Yun & Feng, Chao, 2021. "A race between economic growth and carbon emissions: What play important roles towards global low-carbon development?," Energy Economics, Elsevier, vol. 100(C).
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