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Support for Emissions Reductions Based on Immediate and Long-term Pollution Exposure in China

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  • Sergi, Brian
  • Azevedo, Inês
  • Xia, Tian
  • Davis, Alex
  • Xu, Jianhua

Abstract

Reducing power sector emissions in China is a critical step toward mitigating climate change and lowering health damages from air pollution. We conduct a discrete choice survey (N = 1060) among urban residents from 10 Chinese cities, assessing how individuals compare electricity source, cost, and reduction of emissions related to climate change or air pollution. Using observed air quality data, we also evaluate how pollution levels affect respondents' support for different types of emissions reductions. We find that reductions targeting both climate change and human health benefits have stronger support than those which address only one of the two. Furthermore, respondents in cities with the highest annual concentrations of particulate matter are willing to pay 30% more to clean up the air when compared to individuals living in less polluted cities. The analysis suggests that the public values co-optimizing mitigation policy across climate and health objectives, and that making available information on long-term air quality may encourage sustained support for cleaner energy.

Suggested Citation

  • Sergi, Brian & Azevedo, Inês & Xia, Tian & Davis, Alex & Xu, Jianhua, 2019. "Support for Emissions Reductions Based on Immediate and Long-term Pollution Exposure in China," Ecological Economics, Elsevier, vol. 158(C), pages 26-33.
    • Handle: RePEc:eee:ecolec:v:158:y:2019:i:c:p:26-33
    DOI: 10.1016/j.ecolecon.2018.12.009
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    1. Nick Hanley & Robert Wright & Vic Adamowicz, 1998. "Using Choice Experiments to Value the Environment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 11(3), pages 413-428, April.
    2. Zhang, Lei & Wu, Yang, 2012. "Market segmentation and willingness to pay for green electricity among urban residents in China: The case of Jiangsu Province," Energy Policy, Elsevier, vol. 51(C), pages 514-523.
    3. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    4. Byun, Hyunsuk & Lee, Chul-Yong, 2017. "Analyzing Korean consumers’ latent preferences for electricity generation sources with a hierarchical Bayesian logit model in a discrete choice experiment," Energy Policy, Elsevier, vol. 105(C), pages 294-302.
    5. Mun S. Ho & Chris P. Nielsen (ed.), 2007. "Clearing the Air: The Health and Economic Damages of Air Pollution in China," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262083582, April.
    6. Helveston, John Paul & Liu, Yimin & Feit, Elea McDonnell & Fuchs, Erica & Klampfl, Erica & Michalek, Jeremy J., 2015. "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 96-112.
    7. Min, Jihoon & Azevedo, Inês L. & Michalek, Jeremy & de Bruin, Wändi Bruine, 2014. "Labeling energy cost on light bulbs lowers implicit discount rates," Ecological Economics, Elsevier, vol. 97(C), pages 42-50.
    8. Gielen, Dolf & Changhong, Chen, 2001. "The CO2 emission reduction benefits of Chinese energy policies and environmental policies:: A case study for Shanghai, period 1995-2020," Ecological Economics, Elsevier, vol. 39(2), pages 257-270, November.
    9. Bergmann, Ariel & Hanley, Nick & Wright, Robert, 2006. "Valuing the attributes of renewable energy investments," Energy Policy, Elsevier, vol. 34(9), pages 1004-1014, June.
    10. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    11. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, September.
    12. Kahrl, Fredrich & Williams, Jim & Jianhua, Ding & Junfeng, Hu, 2011. "Challenges to China's transition to a low carbon electricity system," Energy Policy, Elsevier, vol. 39(7), pages 4032-4041, July.
    13. K. Aunan & H.E. Mestl & H.M. Seip & J. Fang & D.O'Connor & H. Vennemo & F. Zhai, 2003. "Co-benefits of CO 2 -reducing policies in China - a matter of scale?," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 3(3), pages 287-304.
    14. Zhao, Xiaoli & Cai, Qiong & Ma, Chunbo & Hu, Yanan & Luo, Kaiyan & Li, William, 2017. "Economic evaluation of environmental externalities in China’s coal-fired power generation," Energy Policy, Elsevier, vol. 102(C), pages 307-317.
    15. Chengxiang Tang & Yucheng Zhang, 2016. "Using discrete choice experiments to value preferences for air quality improvement: the case of curbing haze in urban China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(8), pages 1473-1494, August.
    16. Aravena, Claudia & Martinsson, Peter & Scarpa, Riccardo, 2014. "Does money talk? — The effect of a monetary attribute on the marginal values in a choice experiment," Energy Economics, Elsevier, vol. 44(C), pages 483-491.
    17. Longo, Alberto & Markandya, Anil & Petrucci, Marta, 2008. "The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy," Ecological Economics, Elsevier, vol. 67(1), pages 140-152, August.
    18. Aunan, Kristin & Fang, Jinghua & Vennemo, Haakon & Oye, Kenneth & Seip, Hans M., 2004. "Co-benefits of climate policy--lessons learned from a study in Shanxi, China," Energy Policy, Elsevier, vol. 32(4), pages 567-581, March.
    19. Guo, Xiurui & Liu, Haifeng & Mao, Xianqiang & Jin, Jianjun & Chen, Dongsheng & Cheng, Shuiyuan, 2014. "Willingness to pay for renewable electricity: A contingent valuation study in Beijing, China," Energy Policy, Elsevier, vol. 68(C), pages 340-347.
    20. Lisa Zaval & Elizabeth A. Keenan & Eric J. Johnson & Elke U. Weber, 2014. "How warm days increase belief in global warming," Nature Climate Change, Nature, vol. 4(2), pages 143-147, February.
    21. Kaenzig, Josef & Heinzle, Stefanie Lena & Wüstenhagen, Rolf, 2013. "Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany," Energy Policy, Elsevier, vol. 53(C), pages 311-322.
    22. Katharine Ricke & Laurent Drouet & Ken Caldeira & Massimo Tavoni, 2018. "Country-level social cost of carbon," Nature Climate Change, Nature, vol. 8(10), pages 895-900, October.
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