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Estimating willingness to pay with the stochastic payment card design: further evidence from rural Cameroon

机译:用随机支付卡设计估算支付意愿:喀麦隆农村地区的进一步证据

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This study reports new empirical findings of the field test of the stochastic payment card (SPC) design recently proposed by Wang (Contingent valuation of environmental resources: A stochastic perspective, 1997a; Journal of Environmental Economics & Management 32:219-232, 1997b). The purpose is to see how well this new contingent valuation method (CVM) elicitation format works in different cultural contexts, and what lessons can be drawn in general regarding its usefulness in environmental valuation. The survey is designed to estimate willingness to pay (WTP) values for an intended community-based environmental project in rural Cameroon (i.e., the control of malaria using larvivorous eating fish species). In order to estimate the bid function, Heckman's 2-step method is used to detect, and if possible, correct for sample selection bias, an issue overlooked by the 2-step modeling approach proposed by Wang (1997a). The results suggest generally that in the presence of sample selection bias, Heckman's 2-step estimates are more efficient and reliable for the public project in question than Wang's proposed 2-stage modeling approach.
机译:这项研究报告了Wang最近提出的随机支付卡(SPC)设计的现场测试的新经验发现(环境资源的偶然评估:随机观点,1997a;环境经济与管理杂志32:219-232,1997b) 。目的是了解这种新的或有评估方法(CVM)启发格式在不同文化背景下的效果如何,以及有关其在环境评估中的实用性的总体教训。这项调查旨在估算喀麦隆农村地区一项旨在以社区为基础的环境项目的支付意愿(WTP)值(即,使用食幼鱼来控制疟疾)。为了估计出价函数,使用了Heckman的两步法来检测样本校正偏差,并在可能的情况下进行校正,这是Wang(1997a)提出的两步建模方法所忽略的问题。结果通常表明,在存在样本选择偏差的情况下,与Wang提出的两阶段建模方法相比,Heckman的两步估计对于所涉及的公共项目更为有效和可靠。

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