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Residential preferences for stable electricity supply and a reduction in air pollution risk: a benefit transfer study using choice modeling in China

机译:居民偏爱稳定的电力供应并降低空气污染风险:使用选择模型的中国收益转移研究

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This paper uses choice modeling surveys from the Chinese cities of Jiujiang, Jiangxi Province, and Changsha, Hunan Province, to identify residential preferences for simultaneously increasing the stability of the electricity supply and decreasing the health risks from air pollution. Air pollution in China is mainly attributable to externalities associated with the electricity supply. We employ a contingent ranking approach as our choice modeling method and test for the transfer of benefits for these preferences between the two sites. The original benefit estimates indicate that the implicit price for reducing the number of power breakdowns is about RMB 83 per times × year × household in Jiujiang and RMB 78 per times × year × household in Changsha, while the implicit price for reducing the duration of power breakdowns is statistically zero in Jiujiang and RMB 71 per times × year × household in Changsha. From the alternative perspective, we estimate that the annualized value of the statistical lifetime risk of cancer caused by air pollution over a 70-year period is RMB 50,844 per year in Jiujiang and RMB 67,146 per year in Changsha. This suggests that we do not reject benefit transfer-ability based on the implicit price of the number of power breakdowns, but do reject it based on the number of deaths from cancer caused by air pollution.
机译:本文使用来自中国江西省九江市和湖南省长沙市的选择模型调查来确定居民偏好,以同时增加电力供应的稳定性并减少空气污染带来的健康风险。中国的空气污染主要归因于电力供应的外部性。我们采用权变排序方法作为我们的选择建模方法,并测试在这两个站点之间针对这些偏好的利益转移。最初的效益估算表明,减少断电次数的隐性价格在九江约为83元/次×年×家庭,而在长沙约为78元/次×年×家庭。据统计,九江细分为零,长沙每户×年×家庭×71元。从替代角度来看,我们估计在70年的时间里,由空气污染引起的癌症终生统计年值的年度价值在九江为每年50,844元人民币,在长沙为每年67,146元人民币。这表明我们不基于电源故障数量的隐含价格来拒绝收益转移能力,而是基于空气污染导致的癌症死亡人数来拒绝利益转移能力。

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