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    How much will the residents pay for clean energy? Empirical study using the double bound dichotomous choice method for Tianjin, China2019

    XIE B.C., XIE P., YIN Z.L., ZHAO W.Journaux et Revues (scientifiques)

    analyse conjointe / dichotomique, consentement à payer, énergies renouvelables

    Journal of Cleaner Production
    Available online 28 August 2019, 118208

    • Double bound dichotomous choice(DBDC) method is used to study the residents’ WTP.

    • Results are compared with our previous study of WTP using open-ended (OE) method.

    • The WTPs estimated by DBDC are 1 to 5 times higher than those got from OE method.

    • This study has also collected the residents’ suggestions and concerns on clean power.

    Production cost has always been a critical factor affecting the development of clean energy. It is a relatively complex issue if there needs to be a policy adjustment as it is highly correlated with the economic development and financial situation of the government, as well as customer willingness to pay (WTP) for clean energy. This study investigated whether residents in Tianjin were willing to pay for clean energy by using the theoretical framework of the double-bounded dichotomous choice (DBDC) method. It constructs a maximum likelihood estimation function model, which can then be used to calculate the WTP and identify the factors affecting it using the logit model. Furthermore, we compared the model results with a previous study based on the open ended (OE) method. This current survey collected a sample of 682 respondents, 474 of which were willing to pay for clean energy. The average WTP was 11.51$/month, which was heavily influenced by belief, knowledge, education, income, and other variables. Although the WTP varied after analyzing different questionnaires, the factors affecting it were similar.

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