دانلود مقاله ISI انگلیسی شماره 51247
ترجمه فارسی عنوان مقاله

اندازه گیری قیمت سایه CO2 برای تصفیه فاضلاب: روش تابع فاصله جهت دار

عنوان انگلیسی
Measuring the CO2 shadow price for wastewater treatment: A directional distance function approach
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
51247 2015 9 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Energy, Volume 144, 15 April 2015, Pages 241–249

ترجمه کلمات کلیدی
CO2 - تابع فاصله جهت؛ گاز گلخانه ای؛ قیمت سایه؛ تابع درجه دوم؛ تصفیه فاضلاب
کلمات کلیدی انگلیسی
CO2; Directional distance function; Greenhouse gas; Shadow price; Quadratic function; Wastewater treatment
پیش نمایش مقاله
پیش نمایش مقاله  اندازه گیری قیمت سایه CO2 برای تصفیه فاضلاب: روش تابع فاصله جهت دار

چکیده انگلیسی

The estimation of the value of carbon emissions has become a major research and policy topic since the establishment of the Kyoto Protocol. The shadow price of CO2 provides information about the marginal abatement cost of this pollutant. It is an essential element in guiding environmental policy issues, since the CO2 shadow price can be used when fixing carbon tax rates, in environmental cost-benefit analysis and in ascertaining an initial market price for a trading system. The water industry could play an important role in the reduction of greenhouse gas (GHG) emissions. This paper estimates the shadow price of CO2 for a sample of wastewater treatment plants (WWTPs), using a parametric quadratic directional distance function. Following this, in a sensitivity analysis, the paper evaluates the impact of different settings of directional vectors on the shadow prices. Applying the Mann–Whitney and Kruskal–Wallis non-parametric tests, factors affecting CO2 prices are investigated. The variation of CO2 shadow prices across the WWTPs evaluated argues in favour of a market-based approach to CO2 mitigation as opposed to command-and-control regulation. The paper argues that the estimation of the shadow price of CO2 for non-power enterprises can provide incentives for reducing GHG emissions.