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Analysis of the Factors Influencing Willingness to Pay and Payout Level for Ecological Environment Improvement of the Ganjiang River Basin

Kai Xiong, +4 more
- 01 Jun 2018 - 
- Vol. 10, Iss: 7, pp 2149
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TLDR
Wang et al. as discussed by the authors examined the downstream residents' willingness to pay (WTP) and their payout levels and found that 75.03% of the surveyed residents are willing to pay for ecological compensation in the Ganjiang River Basin.
Abstract
China has continuously stepped up its efforts to protect the ecological environment of the Ganjiang River Basin. The government has played a leading role, but the residents, who have also played an important role in this issue, are often overlooked. Consequently, it is necessary and urgent to study the willingness of the residents, who are the direct stakeholders, to pay for the protection of the ecological environment of the Ganjiang River Basin. Based on a survey of 773 households, this study examines the downstream residents’ willingness to pay (WTP) and their payout levels. Using the payment card (PC) contingent valuation method (CVM), we measure the payment probability of the downstream residents and the amount they are willing to pay. Additionally, Heckman’s two-stage model is adopted for exploring the influencing factors of the surveyed residents’ WTP and payout levels and avoiding the possible presence of sample selection bias. The results showed that 75.03% of the surveyed residents are willing to pay for ecological compensation in the Ganjiang River Basin. The downstream residents are willing to pay an annual average amount of about $47.62/household for ecological compensation. The factors that significantly influence their WTP include the educational background, work type, residential location, and water quality and quantity. In the case of payout levels, the influencing factors include the education background, work type, household annual disposable income, and water quality and quantity. In addition, the factor of value recognition is marginal and significantly related to WTP and payout levels. The results of this empirical study have important policy implications and recommendations that the government should intensify its propaganda about the ecological value, increase investment in education, and establish a variety of ecological compensation payments, in order to protect and improve the ecological environment of the Ganjiang River Basin.

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Citations
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Valuation of ecosystem services using choice experiment with preference heterogeneity: A benefit transfer analysis across inland river basin.

TL;DR: Results indicated that the willingness to pay estimates for river water quality, farmland irrigation, sandstorm days, lake area, biodiversity, landscape and leisure & entertainment were significantly different across sub-basins, recommending the transferability of non-market benefits among sub-Basins.
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Multilevel Governments’ Decision-Making Process and Its Influencing Factors in Watershed Ecological Compensation

TL;DR: Wang et al. as mentioned in this paper analyzed stakeholders' strategies and established a tripartite game model based on evolutionary game theory to solve the transboundary water pollution in China, where the supervision level of the central government was refined into supervisory attitude and supervisory skills.
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Ranking of ecosystem services on the basis of willingness to pay: Monetary assessment of a subset of ecosystem services in the Heihe River basin.

TL;DR: The focus of current study was emphasized on respondent's willingness to pay through implementation of Random Parameter Logit model using data collected through choice experiment technique, in which the preferences of sampled respondent's in urban, rural and pooled data was evaluated for different abiotic and biotic ecosystem services across the Heihe River Basin.

Willingness to pay for safe drinking water: A contingent valuation study in Jacksonville, FL

TL;DR: Investigating how much residents will be willing to pay for improvements in the quality of tap water finds that factors such as trust in authorities, health concerns, family structure, and education significantly impact the willingness-to-pay.
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How Environmental Beliefs Affect Consumer Willingness to Pay for the Greenness Premium of Low-Carbon Agricultural Products in China: Theoretical Model and Survey-based Evidence

Shihu Zhong, +1 more
- 23 Jan 2019 - 
TL;DR: In this article, a behavioral game model was proposed to explore how environmental beliefs would affect consumer willingness to pay for the greenness premium and empirical analyses on factors influencing consumer willingness and the premium level that consumers would pay for green products hold the key to address this challenge.
References
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Journal ArticleDOI

Sample Selection Bias as a Specification Error

James J. Heckman
- 01 Jan 1979 - 
TL;DR: In this article, the bias that results from using non-randomly selected samples to estimate behavioral relationships as an ordinary specification error or "omitted variables" bias is discussed, and the asymptotic distribution of the estimator is derived.
Book

Using surveys to value public goods : the contingent valuation method

TL;DR: Mitchell and Carson as discussed by the authors argue that at this time the contingent valuation (CV) method offers the most promising approach for determining public willingness to pay for many public goods, an approach likely to succeed, if used carefully, where other methods may fail.
Journal ArticleDOI

The contingent valuation method: a review

TL;DR: In this article, the authors review the recent developments on measures to address the validity and reliability issues arising out of different kinds of biases/errors and other related empirical and methodological issues concerning the contingent valuation method.
Journal ArticleDOI

Interactions of the Yangtze river flow and hydrologic processes of the Poyang Lake, China

TL;DR: Wang et al. as discussed by the authors investigated the role of basin effect and Yangtze River blocking effect on variations of the Poyang Lake level and floods at annual to decadal scales.
Journal ArticleDOI

Environmental Regulation, Government R&D Funding and Green Technology Innovation: Evidence from China Provincial Data

TL;DR: In this article, the authors examined the effects of environmental regulation and government RD on green technology innovation, and found that direct government funding and tax incentives can promote green technologies innovation, but the promotion of government tax incentives to green technologies is not significant.
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