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Research on the dynamic relationship between China's renewable energy consumption and carbon emissions based on ARDL model

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  • Wang, Liping

Abstract

In order to promote the adjustment of energy consumption structure and achieve the national emission reduction target, the paper takes China as the research object, collects data from 2007 to 2019, and uses ARDL (autoregressive distributed lag) model and Granger causality test methods to explore the equilibrium relationship of regional renewable energy consumption and carbon dioxide emissions. Conclusions as follows: (1) The boundary test of the ARDL model confirms that when renewable energy consumption is used as the explained variable, the boundary test results are not significant, and when carbon emissions are used as the explained variable, the boundary test results are significant, confirming the impact of China's renewable energy consumption on carbon emissions is significant; (2) The long-term elasticity coefficient of China's renewable energy consumption on carbon emissions is negative, and passed the significance test, indicating that renewable energy consumption has a significant negative effect on carbon emissions in long-term. The short-term elasticity coefficient is also negative, but did not pass the significance test, indicating that the short-term impact on renewable energy consumption is not statistically significant. (3) when the lag period is 1, 2, 3, and 4 years, Chinese renewable energy consumption constitutes the Granger reason for the carbon emission intensity; when the lag period is 3, 4 years, the carbon emission intensity constitutes the Granger reason for the change in renewable energy consumption; and when the lag period is one or two years, the carbon emission intensity does not constitute the Granger reason for the change in renewable energy consumption. Understanding the relationship between regional renewable energy consumption and carbon emissions in China is conducive to balancing regional and alleviating the conflict between regional low-carbon development and instability, helping to achieve nationwide carbon emission reduction commitments in advance, and formulating regional development policies according to local conditions.

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  • Wang, Liping, 2022. "Research on the dynamic relationship between China's renewable energy consumption and carbon emissions based on ARDL model," Resources Policy, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722002124
    DOI: 10.1016/j.resourpol.2022.102764
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    as
    1. Chiu, Chien-Liang & Chang, Ting-Huan, 2009. "What proportion of renewable energy supplies is needed to initially mitigate CO2 emissions in OECD member countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1669-1674, August.
    2. Azlina, A.A. & Law, Siong Hook & Nik Mustapha, Nik Hashim, 2014. "Dynamic linkages among transport energy consumption, income and CO2 emission in Malaysia," Energy Policy, Elsevier, vol. 73(C), pages 598-606.
    3. Apergis, Nicholas & Payne, James E., 2014. "Renewable energy, output, CO2 emissions, and fossil fuel prices in Central America: Evidence from a nonlinear panel smooth transition vector error correction model," Energy Economics, Elsevier, vol. 42(C), pages 226-232.
    4. Khan, Muhammad Azhar & Khan, Muhammad Zahir & Zaman, Khalid & Arif, Mariam, 2014. "Global estimates of energy-growth nexus: Application of seemingly unrelated regressions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 63-71.
    5. Muhammad Wasif Zafar & Muhammad Mansoor Saleem & Mehmet Akif Destek & Abdullah Emre Caglar, 2022. "The dynamic linkage between remittances, export diversification, education, renewable energy consumption, economic growth, and CO2 emissions in top remittance‐receiving countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 165-175, February.
    6. Jauhary Arifin & Normansyah Syahruddin, 2011. "Causality relationship between renewable and non-renewable energy consumption and GDP in Indonesia," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 59, pages 1-18, April.
    7. Sadorsky, Perry, 2009. "Renewable energy consumption and income in emerging economies," Energy Policy, Elsevier, vol. 37(10), pages 4021-4028, October.
    8. Magnani, Natalia & Vaona, Andrea, 2013. "Regional spillover effects of renewable energy generation in Italy," Energy Policy, Elsevier, vol. 56(C), pages 663-671.
    9. Ewing, Bradley T. & Sari, Ramazan & Soytas, Ugur, 2007. "Disaggregate energy consumption and industrial output in the United States," Energy Policy, Elsevier, vol. 35(2), pages 1274-1281, February.
    10. Destek, Mehmet & Sinha, Avik, 2020. "Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries," MPRA Paper 104246, University Library of Munich, Germany, revised 2020.
    11. Salim, Ruhul A. & Rafiq, Shuddhasattwa, 2012. "Why do some emerging economies proactively accelerate the adoption of renewable energy?," Energy Economics, Elsevier, vol. 34(4), pages 1051-1057.
    12. Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "CO2 emissions, nuclear energy, renewable energy and economic growth in the US," Energy Policy, Elsevier, vol. 38(6), pages 2911-2915, June.
    13. Yu, Eden S. H. & Hwang, Been-Kwei, 1984. "The relationship between energy and GNP : Further results," Energy Economics, Elsevier, vol. 6(3), pages 186-190, July.
    14. Aviral Kumar Tiwari, 2011. "A structural VAR analysis of renewable energy consumption, real GDP and CO2 emissions: Evidence from India," Economics Bulletin, AccessEcon, vol. 31(2), pages 1793-1806.
    15. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    16. Sebri, Maamar & Ben-Salha, Ousama, 2014. "On the causal dynamics between economic growth, renewable energy consumption, CO2 emissions and trade openness: Fresh evidence from BRICS countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 14-23.
    17. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    18. Wang, Rong & Tan, Junlan & Yao, Shuangliang, 2021. "Are natural resources a blessing or a curse for economic development? The importance of energy innovations," Resources Policy, Elsevier, vol. 72(C).
    19. Sharma, Gagan Deep & Tiwari, Aviral Kumar & Erkut, Burak & Mundi, Hardeep Singh, 2021. "Exploring the nexus between non-renewable and renewable energy consumptions and economic development: Evidence from panel estimations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    20. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit, 2016. "The dynamic impact of renewable energy consumption on CO2 emissions: A revisited Environmental Kuznets Curve approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 838-845.
    21. Akhmat, Ghulam & Zaman, Khalid & Shukui, Tan & Sajjad, Faiza, 2014. "Does energy consumption contribute to climate change? Evidence from major regions of the world," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 123-134.
    22. Abanda, F.H., 2012. "Renewable energy sources in Cameroon: Potentials, benefits and enabling environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4557-4562.
    23. Mumtaz, Rehma & Zaman, Khalid & Sajjad, Faiza & Lodhi, Muhammad Saeed & Irfan, Muhammad & Khan, Imran & Naseem, Imran, 2014. "Modeling the causal relationship between energy and growth factors: Journey towards sustainable development," Renewable Energy, Elsevier, vol. 63(C), pages 353-365.
    24. Apergis, Nicholas & Payne, James E. & Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth," Ecological Economics, Elsevier, vol. 69(11), pages 2255-2260, September.
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