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Spatio-Temporal Heterogeneity of Carbon Emissions and Its Key Influencing Factors in the Yellow River Economic Belt of China from 2006 to 2019

Author

Listed:
  • Jingxue Zhang

    (Business School, Zhengzhou University, Zhengzhou 450001, China)

  • Yanchao Feng

    (Business School, Zhengzhou University, Zhengzhou 450001, China)

  • Ziyi Zhu

    (Business School, Zhengzhou University, Zhengzhou 450001, China)

Abstract

The Yellow River Economic Belt (YREB) performs an essential function in the low-carbon development of China as an important ecological protection barrier, and it is of great importance to identify its spatio-temporal heterogeneity and key influencing factors. In this study, we propose a comprehensively empirical framework to conduct this issue. The STIRPAT model was applied to determine the influencing factors of carbon emissions in the YREB from 2006 to 2019. The results show that the carbon emissions in the YREB had significant clustering characteristics in the spatial auto-correlation analysis. In addition, the estimation results of the spatial panel analysis demonstrate that the carbon emissions showed a distinct spatial lag effect and temporal lag effect. Moreover, the three traditional factors including population, affluence, technology are identified as the key influencing factors of carbon emissions in the YREB of China. Furthermore, the spatio-temporal heterogeneity is illustrated vividly by employing the GTWR-STIRPAT model. Finally, policy implications are provided to respond to the demand for low-carbon development.

Suggested Citation

  • Jingxue Zhang & Yanchao Feng & Ziyi Zhu, 2022. "Spatio-Temporal Heterogeneity of Carbon Emissions and Its Key Influencing Factors in the Yellow River Economic Belt of China from 2006 to 2019," IJERPH, MDPI, vol. 19(7), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:4185-:d:784794
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    References listed on IDEAS

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    1. Wen, Fenghua & Wu, Nan & Gong, Xu, 2020. "China's carbon emissions trading and stock returns," Energy Economics, Elsevier, vol. 86(C).
    2. Shuai, Chenyang & Shen, Liyin & Jiao, Liudan & Wu, Ya & Tan, Yongtao, 2017. "Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011," Applied Energy, Elsevier, vol. 187(C), pages 310-325.
    3. Yu, Shiwei & Zheng, Shuhong & Li, Xia & Li, Longxi, 2018. "China can peak its energy-related carbon emissions before 2025: Evidence from industry restructuring," Energy Economics, Elsevier, vol. 73(C), pages 91-107.
    4. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    5. Xiaoyan Li & Hengzhou Xu, 2020. "Effect of local government decision‐making competition on carbon emissions: Evidence from China's three urban agglomerations," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2418-2431, September.
    6. David M. Drukker & Hua Peng & Ingmar Prucha & Rafal Raciborski, 2013. "Creating and managing spatial-weighting matrices with the spmat command," Stata Journal, StataCorp LP, vol. 13(2), pages 242-286, June.
    7. Vélez-Henao, Johan-Andrés & Font Vivanco, David & Hernández-Riveros, Jesús-Antonio, 2019. "Technological change and the rebound effect in the STIRPAT model: A critical view," Energy Policy, Elsevier, vol. 129(C), pages 1372-1381.
    8. Yong Liu & Dewei Yang & Hengzhou Xu, 2017. "Factors Influencing Consumer Willingness to Pay for Low‐Carbon Products: A Simulation Study in China," Business Strategy and the Environment, Wiley Blackwell, vol. 26(7), pages 972-984, November.
    9. Yanchao Feng & Xiaohong Wang & Wenchao Du & Jun Liu, 2018. "Effects of Air Pollution Control on Urban Development Quality in Chinese Cities Based on Spatial Durbin Model," IJERPH, MDPI, vol. 15(12), pages 1-21, December.
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