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Sustainability 2016, 8(4), 310; doi:10.3390/su8040310

Valuation of Haze Management and Prevention Using the Contingent Valuation Method with the Sure Independence Screening Algorithm

1
School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China
2
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China
3
Department of Mathematics and Statistics, University of Vermont, Burlington, VT 05401, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Michiel van Drunen
Received: 9 January 2016 / Revised: 20 March 2016 / Accepted: 24 March 2016 / Published: 28 March 2016
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Abstract

Haze has caused the deterioration of air quality and has ultimately affected the ecological environment. The contingent valuation method (CVM) is an important assessment method that is widely used in ecological economics. The public’s willingness to pay (WTP) for haze management and prevention can be analyzed using dichotomous choices. Here, the method is applied to study the valuation of haze management and prevention. Taking Jiangsu Province as an example, the non-market value is calculated by constructing the binary logistic model from questionnaire data, combined with a data-processing method: the sure independence screening (SIS) algorithm. The conclusions are as follows: (1) The public’s WTP for haze management and prevention is closely related to the monthly income of families and transport modality; (2) According to the CVM, the non-market value for haze management and prevention in Jiangsu is 7.645 billion yuan; (3) By the average estimate method (AEM), this value is 12.529 billion yuan, about 1.64 times the estimate from the CVM. This is because the AEM ignores the correlation among the influence factors and, therefore, overestimates the valuation of the services; (4) The CVM, combined with the SIS algorithm, does a better job in estimating the valuation of the services. View Full-Text
Keywords: contingent valuation method; haze management and prevention; willingness to pay; binary logistic model; average estimate method contingent valuation method; haze management and prevention; willingness to pay; binary logistic model; average estimate method
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. (CC BY 4.0).

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MDPI and ACS Style

Wang, G.; Song, Y.; Chen, J.; Yu, J. Valuation of Haze Management and Prevention Using the Contingent Valuation Method with the Sure Independence Screening Algorithm. Sustainability 2016, 8, 310.

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