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

机译:估计内蒙古草地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:选择建模估算了政策变化刺激的草地管理变化的非市场价值。使用流行的手机应用程序微信选择内蒙古呼和浩特市四百二十七名居民。估计有条件的Logit(CL)和随机参数Logit(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,为最佳政策结果方案提供10年以上的每家庭支付的平均值估计为CNY892(141美元)。为呼和浩特人口推断出来的这项政策变革的总意愿均为208,000,000元(3300万美元)。调查结果表明,环境和社会成果对地区城市中心的中国居民有价值。这些价值观应被视为中国和国际上基于市场的草地保护机制的公共财务基础。微信证明是方便的,但需要应用与样品表示有关的外推警告。

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