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The Impact of the Green Economy on Carbon Emission Intensity: Comparisons, Challenges, and Mitigating Strategies

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  • Jia Peng

    (College of Mathematics and Physics, Chengdu University of Technology, Chengdu 610059, China)

  • Xianli Hu

    (College of Mathematics and Physics, Chengdu University of Technology, Chengdu 610059, China)

  • Xinyue Fan

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Kai Wang

    (College of Mathematics and Physics, Chengdu University of Technology, Chengdu 610059, China)

  • Hao Gong

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

Abstract

Global warming, driven primarily by the substantial discharge of greenhouse gases such as carbon dioxide, presents a progressively intensifying concern. To curtail these emissions, the international community is persistently exerting efforts. Traditional economic paradigms have contributed to resource exhaustion and severe pollution, as well as other issues. The green economy, characterized by “eco-friendly”, “low carbon”, and “intensive development” principles, proposes strategies to counter global warming. The current study considers 30 Chinese provinces and cities, assessing coal, coke, and diesel consumption data from 2004 to 2020. Using the carbon emission factor method to quantify carbon emissions, spatial autocorrelation of emissions across various regions is evaluated by employing Moran’s I. The Geographically and Temporally Weighted Regression (GTWR) of carbon emissions and green economy is formulated to scrutinize the contributing factors to carbon emissions, focusing on spatial–temporal evolution and spatial heterogeneity. According to the analysis results, the corresponding suggestions are put forward. This also facilitates analysis of the green economy’s impact on China’s carbon peak and carbon neutrality targets. The findings suggest the following: (1) Over the study period, China’s aggregate carbon emissions exhibited an upward trend, although the growth rate notably decelerated after 2011, and significant spatial clustering of carbon emissions was discerned across the regions. (2) Overall, both economic and social development markedly augmented carbon emission intensity. (3) Spatially, the green economy’s effect on carbon emissions demonstrated significant spatial differentiation. By constructing a GTWR model of the green economy–carbon emission relationship, this study provides a trajectory for regional green sustainability and offers empirical guidance for developing countries grappling with global warming.

Suggested Citation

  • Jia Peng & Xianli Hu & Xinyue Fan & Kai Wang & Hao Gong, 2023. "The Impact of the Green Economy on Carbon Emission Intensity: Comparisons, Challenges, and Mitigating Strategies," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10965-:d:1192929
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    1. Feng Zhang & Xintian Wang & Xiaojie Liu, 2022. "Research on Functional Value Estimation and Development Mode of Green Infrastructure Based on Multi-Dimensional Evaluation Model: A Case Study of China," Land, MDPI, vol. 11(9), pages 1-17, September.
    2. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    3. Bin Meng & Guotai Chi, 2018. "Evaluation Index System Of Green Industry Based On Maximum Information Content," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 229-248, March.
    4. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    5. Xingli Wu & Huchang Liao, 2022. "A gained and lost dominance score method with conflict analysis for green economy development evaluation," Annals of Operations Research, Springer, vol. 316(1), pages 623-655, September.
    6. Feipeng Guo & Linji Zhang & Zifan Wang & Shaobo Ji, 2022. "Research on Determining the Critical Influencing Factors of Carbon Emission Integrating GRA with an Improved STIRPAT Model: Taking the Yangtze River Delta as an Example," IJERPH, MDPI, vol. 19(14), pages 1-20, July.
    7. Wang, Shuhong & Wang, Xiaoqing & Lu, Binbin, 2022. "Is resource abundance a curse for green economic growth? Evidence from developing countries," Resources Policy, Elsevier, vol. 75(C).
    8. Sharma, Susan Sunila, 2011. "Determinants of carbon dioxide emissions: Empirical evidence from 69 countries," Applied Energy, Elsevier, vol. 88(1), pages 376-382, January.
    9. Baofeng Shi & Hufeng Yang & Jing Wang & Jingxu Zhao, 2016. "City Green Economy Evaluation: Empirical Evidence from 15 Sub-Provincial Cities in China," Sustainability, MDPI, vol. 8(6), pages 1-39, June.
    10. Hardt, Lukas & Owen, Anne & Brockway, Paul & Heun, Matthew K. & Barrett, John & Taylor, Peter G. & Foxon, Timothy J., 2018. "Untangling the drivers of energy reduction in the UK productive sectors: Efficiency or offshoring?," Applied Energy, Elsevier, vol. 223(C), pages 124-133.
    11. Min Wang & Xianli Zhao & Qunxi Gong & Zhigeng Ji, 2019. "Measurement of Regional Green Economy Sustainable Development Ability Based on Entropy Weight-Topsis-Coupling Coordination Degree—A Case Study in Shandong Province, China," Sustainability, MDPI, vol. 11(1), pages 1-18, January.
    12. Xiaodong Hu & Ximing Zhang & Lei Dong & Hujun Li & Zheng He & Huihua Chen, 2022. "Carbon Emission Factors Identification and Measurement Model Construction for Railway Construction Projects," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    13. Lihong Wang & Kedong Yin & Yun Cao & Xuemei Li, 2018. "A New Grey Relational Analysis Model Based on the Characteristic of Inscribed Core (IC-GRA) and Its Application on Seven-Pilot Carbon Trading Markets of China," IJERPH, MDPI, vol. 16(1), pages 1-16, December.
    14. Hequ Huang & Jia Zhou, 2022. "Study on the Spatial and Temporal Differentiation Pattern of Carbon Emission and Carbon Compensation in China’s Provincial Areas," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
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