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Estimation of households' and businesses' willingness to pay for improved reliability of electricity supply in Nepal
Energy for Sustainable Development ( IF 4.4 ) Pub Date : 2020-04-01 , DOI: 10.1016/j.esd.2020.02.006
Naghmeh Niroomand , Glenn P. Jenkins

For the decade prior to 2016 Nepal suffered from the worst electricity shortages in South Asia. During this period load shedding occurred for up to 18 hours a day when hydropower generation is low. This research uses parametric and non-parametric models to estimate households’ and businesses’ willingness to pay (WTP) for improved reliability of electricity services in Nepal. A contingent valuation (CV) survey was completed by 1,800 households and 590 businesses. The parametric models are estimated using Logit regressions. The median, Turnbull and the Kristrom mean estimation approach were used for the non-parametric estimations. Both households and businesses are willing to pay more to get from a 50% reduction to a complete elimination of outages than they are willing to pay to get from their current situation to a 50% reduction in outages. This difference in the estimates of the WTP for these two options is even more important in the case of businesses than for households. It is estimated that the annual benefit in 2017 from improving the reliability of the electricity service would be approximately US$324 million with a present value over 20 years of between US$2 and 3.8 billion.

中文翻译:

估计家庭和企业愿意为提高尼泊尔电力供应的可靠性支付费用

在 2016 年之前的十年里,尼泊尔遭受了南亚最严重的电力短缺。在此期间,当水力发电量较低时,每天会发生长达 18 小时的减载。本研究使用参数和非参数模型来估计家庭和企业为提高尼泊尔电力服务可靠性的支付意愿 (WTP)。1,800 户家庭和 590 家企业完成了一项或有估值 (CV) 调查。参数模型是使用 Logit 回归估计的。中值、Turnbull 和 Kristrom 均值估计方法用于非参数估计。家庭和企业都愿意为从 50% 的停电减少到完全消除停电支付更多的费用,而不是他们愿意为从目前的情况下将停电减少 50% 所支付的费用。这两种选择的 WTP 估计差异对企业而言甚至比对家庭而言更为重要。据估计,2017 年提高电力服务可靠性的年度收益约为 3.24 亿美元,20 年的现值在 2 至 38 亿美元之间。
更新日期:2020-04-01
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