کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8093257 1522053 2018 41 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Pathways to a low-carbon economy: Estimations on macroeconomic costs and potential of carbon emission abatement in Beijing
ترجمه فارسی عنوان
راه های پیش روی اقتصاد کم کربن: برآورد هزینه های اقتصاد کلان و پتانسیل کاهش انتشار کربن در پکن
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Developing reliable frameworks to estimate the potential of CO2 emission abatement and its associated costs merits urgent attention. This study aims to estimate the potential as well as macroeconomic costs of CO2 emission abatement in Beijing. Using the industrial economy as the basis, multiobjective programming and genetic algorithm are integrated into the input-output analysis. Several important findings have been gathered in the study: (1) The abatement cost varies between $259.97 and $535.46 per ton at different rates of economic growth. (2) A reinforced emission abatement target can induce higher macroeconomic costs. (3) An inverse U-shaped relationship between CO2 reduction cost and GDP growth rate was found. When GDP growth rate is above the threshold value of 7%, marginal abatement costs decrease rapidly in parallel with GDP growth. When the GDP growth rate is below 7%, the marginal abatement cost increases significantly with economic growth. (4) Industries that have the highest and least potential of abatement have been identified. For effectively reducing CO2 emissions, Beijing needs to promote economic restructuring to maximize the potential of emission abatement and also fulfil the emission abatement target in a cost-effective way. This paper provides a quantitative approach to rationalize the policy design process of enacting emission targets and recommends cost-effective abatement strategies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cleaner Production - Volume 199, 20 October 2018, Pages 603-615
نویسندگان
, , , ,