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能源研发与示范(RD&D)的公共预算及其对能源强度和污染水平的影响。

Public budgets for energy RD&D and the effects on energy intensity and pollution levels.

作者信息

Balsalobre Daniel, Álvarez Agustín, Cantos José María

机构信息

Departament of Economía Política y Hacienda Pública, Estadística Económica y Empresarial, y Política Económica, Albacete, Spain,

出版信息

Environ Sci Pollut Res Int. 2015 Apr;22(7):4881-92. doi: 10.1007/s11356-014-3121-3. Epub 2014 Jun 10.

Abstract

This study, based on the N-shaped cubic model of the environmental Kuznets curve, analyzes the evolution of per capita greenhouse gas emissions (GHGpc) using not just economic growth but also public budgets dedicated to energy-oriented research development and demonstration (RD&D) and energy intensity. The empirical evidence, obtained from an econometric model of fixed effects for 28 OECD countries during 1994-2010, suggests that energy innovations help reduce GHGpc levels and mitigate the negative impact of energy intensity on environmental quality. When countries develop active energy RD&D policies, they can reduce both the rates of energy intensity and the level of GHGpc emissions. This paper incorporates a moderating variable to the econometric model that emphasizes the effect that GDP has on energy intensity. It also adds a variable that reflects the difference between countries that have made a greater economic effort in energy RD&D, which in turn corrects the GHG emissions resulting from the energy intensity of each country.

摘要

本研究基于环境库兹涅茨曲线的N形立方模型,不仅利用经济增长,还利用专门用于能源导向型研究开发与示范(RD&D)的公共预算以及能源强度,来分析人均温室气体排放量(GHGpc)的演变。从1994年至2010年期间28个经合组织国家的固定效应计量经济模型获得的经验证据表明,能源创新有助于降低GHGpc水平,并减轻能源强度对环境质量的负面影响。当各国制定积极的能源RD&D政策时,它们可以降低能源强度率和GHGpc排放水平。本文在计量经济模型中纳入了一个调节变量,该变量强调国内生产总值对能源强度的影响。它还增加了一个变量,该变量反映了在能源RD&D方面做出更大经济努力的国家之间的差异,这反过来又纠正了每个国家能源强度所产生的温室气体排放。

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