کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
997160 936336 2008 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
CO2, GDP and RET: An aggregate economic equilibrium analysis for Turkey
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
CO2, GDP and RET: An aggregate economic equilibrium analysis for Turkey
چکیده انگلیسی

There is a worldwide interest in renewable electricity technologies (RETs) due to growing concerns about global warming and climate change. As an EU candidate country whose energy demand increases exponentially, Turkey inevitably shares this common interest on RET. This study, using an aggregate economic equilibrium model, explores the economic costs of different policy measures to mitigate CO2 emissions in Turkey. The model combines energy demands, capital requirements and labor inputs at a constant elasticity of substitution under an economy-wide nested production function. Growing energy demand, triggered by economic growth, is met by increased supply and initiates new capacity additions. Investment into RET is encouraged via the incorporation of (a) endogenous technological learning through which the RET cost declines as a function of cumulative capacity, and (b) a willingness to pay (WTP) function which imposes the WTP of consumers as a lower bound on RET installation. The WTP equation is obtained as a function of consumer income categories, based on data gathered from a pilot survey in which the contingent valuation methodology was employed. The impacts of various emission reduction scenarios on GDP growth and RET diffusion are explored. As expected, RET penetration is accelerated under faster technological learning and higher WTP conditions. It is found that stabilizing CO2 emissions to year 2005 levels causes economic losses amounting to 17% and 23% of GDP in the years 2020 and 2030, respectively.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Policy - Volume 36, Issue 7, July 2008, Pages 2694–2708
نویسندگان
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