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Wang H, He J, Kim Y, et al. Willingness-to-pay for water quality improvements in Chinese rivers: an empirical test on the ordering effects of multiple-bounded discrete choices. J Environ Manage. 2013;131:256-69doi: 10.1016/j.jenvman.2013.07.034.
Wang, H., He, J., Kim, Y., & Kamata, T. (2013). Willingness-to-pay for water quality improvements in Chinese rivers: an empirical test on the ordering effects of multiple-bounded discrete choices. Journal of environmental management, 131256-69. https://doi.org/10.1016/j.jenvman.2013.07.034
Wang, Hua, et al. "Willingness-to-pay for water quality improvements in Chinese rivers: an empirical test on the ordering effects of multiple-bounded discrete choices." Journal of environmental management vol. 131 (2013): 256-69. doi: https://doi.org/10.1016/j.jenvman.2013.07.034
Wang H, He J, Kim Y, Kamata T. Willingness-to-pay for water quality improvements in Chinese rivers: an empirical test on the ordering effects of multiple-bounded discrete choices. J Environ Manage. 2013 Dec 15;131:256-69. doi: 10.1016/j.jenvman.2013.07.034. Epub 2013 Oct 31. PMID: 24184528.
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J Environ Manage. 2013 Dec 15;131:256-69. doi: 10.1016/j.jenvman.2013.07.034. Epub 2013 Oct 31.

Willingness-to-pay for water quality improvements in Chinese rivers: an empirical test on the ordering effects of multiple-bounded discrete choices.

Journal of environmental management

Hua Wang, Jie He, Yoonhee Kim, Takuya Kamata

Affiliations

  1. The World Bank, 1818 H Street, NW Washington, DC 20433, USA. Electronic address: [email protected].

PMID: 24184528 DOI: 10.1016/j.jenvman.2013.07.034

Abstract

This paper presents a study of the willingness-to-pay (WTP) for surface water quality improvement in China. In the Huaping County of Yunnan Province, we found that people are willing to pay 74 Yuan (or US$12.33 in 2012 prices) per household per month (or 5% of household income) continuously for five years to achieve an improvement of water quality in the two major local rivers from the current Grade IV to Grade III, which denotes a level suitable for swimming and fishing and matches the water quality level from 10 years ago. This WTP study is based on an actual investment project that was under serious consideration by the government and is based on the multiple-bounded discrete choice (MBDC) approach, which explicitly recognizes the potential uncertainties involved in the study. The potential ordering effects associated with the MBDC approach are empirically tested, and the results indicate that although the presentation order of the polychotomous likelihood choices may not have a significant impact on the WTP estimation, the presentation order of bid levels may have a significant impact.

Copyright © 2013 Elsevier Ltd. All rights reserved.

Keywords: China; Contingent valuation; Multiple-bounded discrete choice; Ordering effect; Water

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