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Estimates of inter-fuel substitution possibilities in Chinese chemical industry

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  • Lin, Boqiang
  • Wesseh, Presley K.

Abstract

The chemical sector is a key driver of China's remarkable growth record and accounts for about 10% of the country's GDP. This has made the industry energy-intensive and consequently a major contributor to greenhouse gas emissions (GHG) and other pollutants. This study has attempted to investigate the potential for inter-fuel substitution between coal, oil, natural gas and electricity in Chinese chemical sector by employing a translog production and cost function. Ridge regression procedure was adopted to estimate the parameters of the function. Estimation results show that all energy inputs are substitutes. In addition, the study produces evidence that the significant role of coal in the Chinese chemical fuel mix converges over time, albeit slowly. These results suggest that price-based policies, coupled with capital subsidy programs can be adopted to redirect technology use towards cleaner energy sources like electricity and natural gas; hence, retaining the ability to fuel the chemical sector, while also mitigating GHG emissions. Notwithstanding, one must understand that the extent to which substituting electricity for coal will be effective depends on the extent to which coal or oil is used in generating electricity. The findings of this study provide general insights and underscore the importance of Chinese government policies that focus on installed capacity of renewable electricity, energy intensity targets as well as merger of enterprises.

Suggested Citation

  • Lin, Boqiang & Wesseh, Presley K., 2013. "Estimates of inter-fuel substitution possibilities in Chinese chemical industry," Energy Economics, Elsevier, vol. 40(C), pages 560-568.
  • Handle: RePEc:eee:eneeco:v:40:y:2013:i:c:p:560-568
    DOI: 10.1016/j.eneco.2013.08.017
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Lin, Boqiang & Ahmad, Izhar, 2016. "Energy substitution effect on transport sector of Pakistan based on trans-log production function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1182-1193.
    2. Lin, Boqiang & Atsagli, Philip, 2017. "Inter-fuel substitution possibilities in South Africa: A translog production function approach," Energy, Elsevier, vol. 121(C), pages 822-831.
    3. Lin, Boqiang & Xie, Chunping, 2014. "Energy substitution effect on transport industry of China-based on trans-log production function," Energy, Elsevier, vol. 67(C), pages 213-222.
    4. Lin, Boqiang & Long, Houyin, 2016. "Input substitution effect in China׳s chemical industry: Evidences and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1617-1625.
    5. Xu, Bin & Lin, Boqiang, 2016. "Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model," Applied Energy, Elsevier, vol. 161(C), pages 375-386.
    6. Lin, Boqiang & Li, Jianglong, 2014. "The rebound effect for heavy industry: Empirical evidence from China," Energy Policy, Elsevier, vol. 74(C), pages 589-599.
    7. Wesseh, Presley K. & Lin, Boqiang, 2016. "Modeling environmental policy with and without abatement substitution: A tradeoff between economics and environment?," Applied Energy, Elsevier, vol. 167(C), pages 34-43.
    8. Lin, Boqiang & Atsagli, Philip & Dogah, Kingsley E., 2016. "Ghanaian energy economy: Inter-production factors and energy substitution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1260-1269.
    9. Li, Jianglong & Lin, Boqiang, 2016. "Inter-factor/inter-fuel substitution, carbon intensity, and energy-related CO2 reduction: Empirical evidence from China," Energy Economics, Elsevier, vol. 56(C), pages 483-494.
    10. Wesseh, Presley K. & Lin, Boqiang, 2016. "Can African countries efficiently build their economies on renewable energy?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 161-173.
    11. Lin, Boqiang & Wesseh Jr., Presley K., 2014. "Energy consumption and economic growth in South Africa reexamined: A nonparametric testing apporach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 840-850.
    12. repec:gam:jsusta:v:9:y:2017:i:4:p:668-:d:96529 is not listed on IDEAS
    13. Wesseh, Presley K. & Lin, Boqiang, 2016. "Factor demand, technical change and inter-fuel substitution in Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 979-991.
    14. repec:eee:energy:v:139:y:2017:i:c:p:975-990 is not listed on IDEAS
    15. Lin, Boqiang & Wesseh, Presley K. & Appiah, Michael Owusu, 2014. "Oil price fluctuation, volatility spillover and the Ghanaian equity market: Implication for portfolio management and hedging effectiveness," Energy Economics, Elsevier, vol. 42(C), pages 172-182.
    16. Wesseh, Presley K. & Lin, Boqiang & Atsagli, Philip, 2017. "Carbon taxes, industrial production, welfare and the environment," Energy, Elsevier, vol. 123(C), pages 305-313.
    17. Lin, Boqiang & Du, Kerui, 2015. "Measuring energy rebound effect in the Chinese economy: An economic accounting approach," Energy Economics, Elsevier, vol. 50(C), pages 96-104.
    18. Lin, Boqiang & Atsagli, Philip, 2017. "Energy consumption, inter-fuel substitution and economic growth in Nigeria," Energy, Elsevier, vol. 120(C), pages 675-685.
    19. repec:eee:rensus:v:75:y:2017:i:c:p:909-917 is not listed on IDEAS
    20. Wesseh, Presley K. & Lin, Boqiang, 2016. "Output and substitution elasticities of energy and implications for renewable energy expansion in the ECOWAS region," Energy Policy, Elsevier, vol. 89(C), pages 125-137.

    More about this item

    Keywords

    Inter-fuel substitution; Chemical sector; China;

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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