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Analyzing the Asymmetric Effect of Renewable Energy Consumption on Environment in STIRPAT-Kaya-EKC Framework: A NARDL Approach for China

Author

Listed:
  • Youxue Jiang

    (Jiangsu Vocational Institute of Commerce, Nanjing 211168, China)

  • Zakia Batool

    (Department of Economics, National University of Modern Languages (NUML), Islamabad 44000, Pakistan)

  • Syed Muhammad Faraz Raza

    (China Institute of Development Strategy and Planning, Wuhan University, Wuhan 430072, China
    Institute for Region and Urban-Rural Development, Wuhan University, Wuhan 430072, China)

  • Mohammad Haseeb

    (China Institute of Development Strategy and Planning, Wuhan University, Wuhan 430072, China
    Institute for Region and Urban-Rural Development, Wuhan University, Wuhan 430072, China)

  • Sajjad Ali

    (School of Economics, Quaid-e-Azam University, Islamabad 44000, Pakistan)

  • Syed Zain Ul Abidin

    (China Institute of Development Strategy and Planning, Wuhan University, Wuhan 430072, China
    Institute for Region and Urban-Rural Development, Wuhan University, Wuhan 430072, China)

Abstract

This study aims to analyze the asymmetric relation between renewable energy consumption and CO 2 emissions in China using the STIRPAT-Kaya-EKC framework. To delve into the asymmetric effect of renewable energy consumption on the environment, the non-linear ARDL model is used. The results of this study confirm the asymmetric impact of renewable energy on the environment in the long run as well as in the short run. However, the negative shocks to renewable energy have a greater detrimental influence on the environment than the benign effect due to the positive shock to renewable energy. Population growth affects the environment in the short run, whereas technology only affects environment quality in the long run. Moreover, the study supports the EKC theory in China. This research emphasizes that the administration can improve the economy’s lifespan by allocating substantial funds to establish legislation to maintain a clean environment by subsidizing renewable energy infrastructure and research and innovations for low-carbon projects.

Suggested Citation

  • Youxue Jiang & Zakia Batool & Syed Muhammad Faraz Raza & Mohammad Haseeb & Sajjad Ali & Syed Zain Ul Abidin, 2022. "Analyzing the Asymmetric Effect of Renewable Energy Consumption on Environment in STIRPAT-Kaya-EKC Framework: A NARDL Approach for China," IJERPH, MDPI, vol. 19(12), pages 1-15, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7100-:d:835243
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    References listed on IDEAS

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    Cited by:

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    3. Florence Appiah-Twum & Xingle Long, 2023. "Human Capital, Trade Competitiveness and Environmental Efficiency Convergence Across Asia Pacific Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 109-132, May.
    4. Karime Chahuán-Jiménez & Rolando Rubilar-Torrealba & Hanns de la Fuente-Mella & Valeska V. Geldres-Weiss, 2023. "Cluster Analysis and Macroeconomic Indicators and Their Effects on the Evolution of the Use of Clean Energies," Energies, MDPI, vol. 16(22), pages 1-14, November.
    5. ATOI, VICTOR NGOZI (PhD), 2023. "Assessing the Drivers of Steady State Economic Growth in Nigeria," MPRA Paper 119386, University Library of Munich, Germany.
    6. Yabo Zhao & Ruiyang Chen & Tong Sun & Ying Yang & Shifa Ma & Dixiang Xie & Xiwen Zhang & Yunnan Cai, 2022. "Urbanization Influences CO 2 Emissions in the Pearl River Delta: A Perspective of the “Space of Flows”," Land, MDPI, vol. 11(8), pages 1-21, August.
    7. Abdul Hayy Haziq Mohamad & Muhamad Rias K. V. Zainuddin & Rossazana Ab-Rahim, 2023. "Does Renewable Energy Transition in the USA and China Overcome Environmental Degradation?," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 234-243, November.
    8. Fenghua Wen & Zhanlin Sun & Yu Luo, 2023. "Population Structure and Local Carbon Emission Reduction: Evidence from Guangdong, China," Sustainability, MDPI, vol. 15(5), pages 1-27, February.

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