Willingness to Pay for Carbon Reduction Against Climate Change: A Social Survey in Beijing, China

H. Wu¹ , N. Zhang²

1. Faculty of Economics, Thammasat University, Bangkok 10200, Thailand.
2. School of Politics and Law, Tibet University, Lhasa, Tibet 850000, The People’s Republic of China.

Section:Research Paper, Product Type: Journal-Paper
Vol.6 , Issue.4 , pp.46-50, Apr-2020

Online published on Apr 30, 2020

Copyright © H. Wu, N. Zhang . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

View this paper at   Google Scholar | DPI Digital Library

XML View     PDF Download

How to Cite this Paper

189 Views    261 Downloads    101 Downloads

Abstract :
In this paper, we conducted a social survey focused on carbon emission reduction against climate change in Beijing, China, and employed the dichotomy questionnaire based on Contingent Valuation Method (CVM) to explore the applicability of the contingent valuation on estimating maximum willingness to pay(WTP) of climate change in China. The results show that the questionnaire based on single boundary(SB) and the questionnaire based on double-boundary(DB), which estimates the average maximum willingness to pay is 213 yuan and 237 yuan per year, respectively, besides, the 95% confidence intervals for the average maximum willingness to pay are estimated to be 157 ~ 322 yuan and 169 ~ 312 per year, respectively. Compared with the single-boundary, the double-boundary method can bring more information about the respondents` willingness to pay, thereby reducing the estimated confidence interval and improving the estimation accuracy of the maximum willingness to pay (WTP).

Key-Words / Index Term :
Willingness to pay (WTP), climate change, Contingent Valuation Method (CVM), Beijing

References :
[1] Ajzen, Icek. "The theory of planned behavior." Organizational behavior and human decision processes 50.2 (1991): 179-211.
[2] Burghart, Daniel R., Trudy Ann Cameron, and Geoffrey R. Gerdes. "Valuing publicly sponsored research projects: Risks, scenario adjustments, and inattention." Journal of Risk and Uncertainty 35.1 (2007): 77-105.
[3] Cai, Chun-guang, et al. "Comparison of single bound and double bound dichotomous contingent valuation technique-a case of estimate health economic loss by air pollution of Beijing." China Environmental Science 27.1 (2007): 39-43.
[4] Cai, Beilei, Trudy Ann Cameron, and Geoffrey R. Gerdes. "Distributional preferences and the incidence of costs and benefits in climate change policy." Environmental and Resource Economics 46.4 (2010): 429-458.
[5] Cameron, Trudy Ann, and Graham D. Crawford. Independent dimensions of sociodemographic variability in neighborhood characteristics at the tract level of the 2000 census. Univ., Department of Economics, 2003.
[6] Carson, Richard T., et al. "Contingent valuation and lost passive use: damages from the Exxon Valdez oil spill." Environmental and resource economics 25.3 (2003): 257-286.
[7] Choi, Andy S., and Brent W. Ritchie. "Willingness to pay for flying carbon neutral in Australia: an exploratory study of offsetter profiles." Journal of Sustainable Tourism 22.8 (2014): 1236-1256.
[8] Fei Fangfang. "Research on Tourists` Willingness to Pay for Carbon Compensation and the Model of Carbon Compensation——A Case Study of Hangzhou West Lake Scenic Area."
[9] Hanemann, W. Michael. "Welfare evaluations in contingent valuation experiments with discrete responses." American journal of agricultural economics 66.3 (1984): 332-341.
[10] Hansla, Andre, et al. "Psychological determinants of attitude towards and willingness to pay for green electricity." Energy policy 36.2 (2008): 768-774.
[11] Hersch, Joni, and W. Kip Viscusi. "The generational divide in support for environmental policies: European evidence." Climatic Change 77.1-2 (2006): 121-136.
[12] Huiting, S. H. A. O., L. U. O. Jiafeng, and F. E. I. Ximin. "Impact of climate change cognition on public willingness to pay for environmental protection and mitigation actions." Journal of Zhejiang Agriculture and Forestry University 36.5 (2019): 1012-1018.
[13] Kostakis, Ioannis, and Eleni Sardianou. "Which factors affect the willingness of tourists to pay for renewable energy?." Renewable Energy 38.1 (2012): 169-172.
[14] Krinsky, Itzhak, and A. Leslie Robb. "On approximating the statistical properties of elasticities." The Review of Economics and Statistics (1986): 715-719.
[15] Lee, Jaeseung Jason, and Trudy Ann Cameron. "Popular support for climate change mitigation: evidence from a general population mail survey." Environmental and Resource Economics 41.2 (2008): 223-248.
[16] Lee, Joo-Suk, Seung-Hoon Yoo, and Seung-Jun Kwak. "Public`s willingness to pay for preventing climate change." Applied Economics Letters 17.6 (2010): 619-622.
[17] MacKerron, George J., et al. "Willingness to pay for carbon offset certification and co-benefits among (high-) flying young adults in the UK." Energy policy 37.4 (2009): 1372-1381.
[18] Nakamura, Hidenori, and Takaaki Kato. "Japanese citizens’ preferences regarding voluntary carbon offsets: an experimental social survey of Yokohama and Kitakyushu." Environmental science & policy 25 (2013): 1-12.
[19] Qi Shaozhou, et al. "Are the Public Willing to Pay for Carbon Emissions? —— A Study Based on the Factors Influencing" Carbon Neutrality "Willingness to Pay." China Population, Resources and Environment 10 (2019): 16.
[20] Viscusi, W. Kip, and Richard J. Zeckhauser. "The perception and valuation of the risks of climate change: a rational and behavioral blend." Climatic change 77.1-2 (2006): 151-177.
[21] Zeng Xiangang. Survey on willingness of Chinese urban residents to pay for CO_2 reduction. Diss. 2011.