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Estimating non-market environmental values for grassland protection in inner Mongolia

机译:估算内蒙古草原保护的非市场环境价值

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摘要

The non-market values of changes in grassland management stimulated by changes in policies were estimated by choice modeling. Four-hundred twenty-seven residents of Hohhot city in Inner Mongolia were selected using the popular mobile phone application WeChat. Conditional logit (CL) and random parameter logit (RPL) models were estimated to analyze the preference of respondents for environmental and social attributes. Based on the preferred RPL model, the average per household willingness to pay over 10 years for the best policy outcome scenarios was estimated to be CNY892 (US$141). The total willingness to pay for this policy change, extrapolated to the population of Hohhot, was CNY208 million (US$33 million). The findings suggest that environmental and social outcomes are valuable to Chinese residents of a regional urban center. Such values should be viewed as a public financial base for market-based mechanisms for grassland protection both in China and internationally. WeChat proved to be convenient but required the application of extrapolation caveats relating to sample representation.
机译:通过选择模型估算了政策变化所激发的草地管理变化的非市场价值。内蒙古呼和浩特市的247名居民是使用流行的手机应用程序微信选出的。估计条件对数(CL)和随机参数对数(RPL)模型以分析受访者对环境和社会属性的偏好。根据首选的RPL模型,每户平均10年以上为最佳保单效果设想支付的意愿估计为892元人民币(141美元)。根据呼和浩特市人民的意愿,为这项政策变更支付的总费用为2.08亿元人民币(3,300万美元)。研究结果表明,环境和社会成果对于一个区域性城市中心的中国居民而言非常有价值。在中国和国际上,这些价值应被视为基于市场的草地保护机制的公共财政基础。事实证明,微信很方便,但需要应用与样本表示有关的外推警告。

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