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Economic and non-economic sector reforms in carbon mitigation: Empirical evidence from Chinese provinces

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  • Sarwar, Suleman
  • Shahzad, Umer
  • Chang, Dongfeng
  • Tang, Biyan

Abstract

The study examines the main contributors of carbon dioxide (CO2) emission in China and attempts to propose the economic and non-economic reforms to mitigate this emission. We use the panel data from 2004 to 2015 of 30 Chinese provinces to conduct the full sample, regional and policy-based analysis. Our findings have shown statistically significant and positive effects of coal consumption, oil consumption and industrialization on CO2 emission in China. In economic sector reforms, we find that increasing in investment for industrial treatment plans, such as carbon injection treatment, leads to a decrease in CO2 emission. For non-economic reforms, the empirical results have provided the evidence that higher CO2 emission is controlled by increasing forest land and forest investment. These findings have significant practical implications for policymakers to introduce economic and non-economic reforms simultaneously to overcome environmental degradation effectively.

Suggested Citation

  • Sarwar, Suleman & Shahzad, Umer & Chang, Dongfeng & Tang, Biyan, 2019. "Economic and non-economic sector reforms in carbon mitigation: Empirical evidence from Chinese provinces," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 146-154.
    • Handle: RePEc:eee:streco:v:49:y:2019:i:c:p:146-154
    DOI: 10.1016/j.strueco.2019.01.003
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    as
    1. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Al-mulali, Usama & Binti Che Sab, Che Normee, 2012. "The impact of energy consumption and CO2 emission on the economic and financial development in 19 selected countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4365-4369.
    4. Mundaca, Gabriela, 2017. "How much can CO2 emissions be reduced if fossil fuel subsidies are removed?," Energy Economics, Elsevier, vol. 64(C), pages 91-104.
    5. Al-mulali, Usama & Binti Che Sab, Che Normee, 2012. "The impact of energy consumption and CO2 emission on the economic growth and financial development in the Sub Saharan African countries," Energy, Elsevier, vol. 39(1), pages 180-186.
    6. Lund, Henrik & Kempton, Willett, 2008. "Integration of renewable energy into the transport and electricity sectors through V2G," Energy Policy, Elsevier, vol. 36(9), pages 3578-3587, September.
    7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    8. Adewuyi, Adeolu O. & Awodumi, Olabanji B., 2017. "Renewable and non-renewable energy-growth-emissions linkages: Review of emerging trends with policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 275-291.
    9. Han, Chirok & Kim, Hyoungjong, 2014. "The role of constant instruments in dynamic panel estimation," Economics Letters, Elsevier, vol. 124(3), pages 500-503.
    10. Cherniwchan, Jevan, 2012. "Economic growth, industrialization, and the environment," Resource and Energy Economics, Elsevier, vol. 34(4), pages 442-467.
    11. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    12. Leung, Dennis Y.C. & Caramanna, Giorgio & Maroto-Valer, M. Mercedes, 2014. "An overview of current status of carbon dioxide capture and storage technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 426-443.
    13. Shao, Ling & Li, Yuan & Feng, Kuishuang & Meng, Jing & Shan, Yuli & Guan, Dabo, 2018. "Carbon emission imbalances and the structural paths of Chinese regions," Applied Energy, Elsevier, vol. 215(C), pages 396-404.
    14. Ozturk, Ilhan & Acaravci, Ali, 2010. "CO2 emissions, energy consumption and economic growth in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3220-3225, December.
    15. Jahangir Alam, Mohammad & Ara Begum, Ismat & Buysse, Jeroen & Van Huylenbroeck, Guido, 2012. "Energy consumption, carbon emissions and economic growth nexus in Bangladesh: Cointegration and dynamic causality analysis," Energy Policy, Elsevier, vol. 45(C), pages 217-225.
    16. Xu, Bin & Lin, Boqiang, 2015. "How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models," Energy Economics, Elsevier, vol. 48(C), pages 188-202.
    17. Thollander, Patrik & Danestig, Maria & Rohdin, Patrik, 2007. "Energy policies for increased industrial energy efficiency: Evaluation of a local energy programme for manufacturing SMEs," Energy Policy, Elsevier, vol. 35(11), pages 5774-5783, November.
    18. Li, Jianglong & Sun, Chuanwang, 2018. "Towards a low carbon economy by removing fossil fuel subsidies?," China Economic Review, Elsevier, vol. 50(C), pages 17-33.
    19. Alkhathlan, Khalid & Javid, Muhammad, 2015. "Carbon emissions and oil consumption in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 105-111.
    20. Kumar, Subhash & Madlener, Reinhard, 2016. "CO2 emission reduction potential assessment using renewable energy in India," Energy, Elsevier, vol. 97(C), pages 273-282.
    21. Shahbaz, Muhammad & Salah Uddin, Gazi & Ur Rehman, Ijaz & Imran, Kashif, 2014. "Industrialization, electricity consumption and CO2 emissions in Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 575-586.
    22. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    23. Shahbaz, Muhammad & Sarwar, Suleman & Chen, Wei & Malik, Muhammad Nasir, 2017. "Dynamics of electricity consumption, oil price and economic growth: Global perspective," Energy Policy, Elsevier, vol. 108(C), pages 256-270.
    24. Niu, Shuwen & Ding, Yongxia & Niu, Yunzhu & Li, Yixin & Luo, Guanghua, 2011. "Economic growth, energy conservation and emissions reduction: A comparative analysis based on panel data for 8 Asian-Pacific countries," Energy Policy, Elsevier, vol. 39(4), pages 2121-2131, April.
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    More about this item

    Keywords

    CO2 emission; Forest area; Forest investment; Industrial treatment plants;
    All these keywords.

    JEL classification:

    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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