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Factors influencing companies' willingness to pay for carbon emissions: Emission trading schemes in China

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  • Zhao, Yibing
  • Wang, Can
  • Sun, Yuwei
  • Liu, Xianbing

Abstract

This paper studies the effect of carbon emission trading schemes in China and identifies the factors that influence companies' willingness to pay for carbon emissions, as expressed by the increase in energy costs due to the national carbon market. A questionnaire with a multiple-bounded discrete choice format was designed and 555 valid samples were gathered in this analysis. On average, companies are willing to pay 8.3% more on energy costs, while those participating in pilot trading schemes are willing to pay 10.2% more. Pilot companies also have higher investment in energy-saving technology, better awareness of both carbon mitigation technology and carbon policy, and clearer expectations of the national carbon market. The regression analysis shows that the willingness to pay (WTP) is influenced by several factors. The perception of the high pressure of energy costs will significantly decrease the WTP of the non-pilot companies. If a pilot company presumes that it will participate in the national trading schemes sooner, its willingness to pay will be higher. Participation or not in pilot trading schemes exerts an effect on companies' WTP because of two factors: awareness of carbon mitigation technology and the reduction ratio expected by the companies. Among all manufacturing sectors, companies involved in the non-ferrous, chemical, paper-making and iron and steel sectors can be brought into the national carbon market as priority participants, because they have a higher WTP for carbon emissions, or they have a shorter time expectation for participating in the national carbon market.

Suggested Citation

  • Zhao, Yibing & Wang, Can & Sun, Yuwei & Liu, Xianbing, 2018. "Factors influencing companies' willingness to pay for carbon emissions: Emission trading schemes in China," Energy Economics, Elsevier, vol. 75(C), pages 357-367.
  • Handle: RePEc:eee:eneeco:v:75:y:2018:i:c:p:357-367
    DOI: 10.1016/j.eneco.2018.09.001
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    as
    1. Whittington, Dale, 1998. "Administering contingent valuation surveys in developing countries," World Development, Elsevier, vol. 26(1), pages 21-30, January.
    2. de Groot, Henri L. F. & Verhoef, Erik T. & Nijkamp, Peter, 2001. "Energy saving by firms: decision-making, barriers and policies," Energy Economics, Elsevier, vol. 23(6), pages 717-740, November.
    3. Zhongxiang Zhang, 2015. "Carbon emissions trading in China: the evolution from pilots to a nationwide scheme," Climate Policy, Taylor & Francis Journals, vol. 15(sup1), pages 104-126, December.
    4. Uehleke, Reinhard, 2016. "The role of question format for the support for national climate change mitigation policies in Germany and the determinants of WTP," Energy Economics, Elsevier, vol. 55(C), pages 148-156.
    5. Cui, Lian-Biao & Fan, Ying & Zhu, Lei & Bi, Qing-Hua, 2014. "How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?," Applied Energy, Elsevier, vol. 136(C), pages 1043-1052.
    6. ZhongXiang Zhang, 2015. "Carbon Emissions Trading in China: Features and Compliance of Pilots and their Transition to a Nationwide Scheme," Review of Environment, Energy and Economics - Re3, Fondazione Eni Enrico Mattei, July.
    7. Lin, Boqiang & Jia, Zhijie, 2017. "The impact of Emission Trading Scheme (ETS) and the choice of coverage industry in ETS: A case study in China," Applied Energy, Elsevier, vol. 205(C), pages 1512-1527.
    8. Osiolo, Helen Hoka, 2017. "Willingness to pay for improved energy: Evidence from Kenya," Renewable Energy, Elsevier, vol. 112(C), pages 104-112.
    9. Lim, Hea-Jin & Yoo, Seung-Hoon, 2014. "Train travel passengers' willingness to pay to offset their CO2 emissions in Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 526-531.
    10. Maosheng Duan & Tao Pang & Xiliang Zhang, 2014. "Review of Carbon Emissions Trading Pilots in China," Energy & Environment, , vol. 25(3-4), pages 527-549, April.
    11. Welsh, Michael P. & Poe, Gregory L., 1998. "Elicitation Effects in Contingent Valuation: Comparisons to a Multiple Bounded Discrete Choice Approach," Journal of Environmental Economics and Management, Elsevier, vol. 36(2), pages 170-185, September.
    12. Kotchen, Matthew J. & Boyle, Kevin J. & Leiserowitz, Anthony A., 2013. "Willingness-to-pay and policy-instrument choice for climate-change policy in the United States," Energy Policy, Elsevier, vol. 55(C), pages 617-625.
    13. Liu, Xianbing & Wang, Can & Zhang, Weishi & Suk, Sunhee & Sudo, Kinichi, 2013. "Company's affordability of increased energy costs due to climate policies: A survey by sector in China," Energy Economics, Elsevier, vol. 36(C), pages 419-430.
    14. Torben Holvad, 1999. "Contingent Valuation Methods.Possibilities and Problems," Working Papers 1999.7, Fondazione Eni Enrico Mattei.
    15. Harish Kumar Jeswani & Walter Wehrmeyer & Yacob Mulugetta, 2008. "How warm is the corporate response to climate change? Evidence from Pakistan and the UK," Business Strategy and the Environment, Wiley Blackwell, vol. 17(1), pages 46-60, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Carbon market; Emission trading schemes; Energy costs; Willingness to pay; Contingent valuation methods;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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