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Impact of economic growth on climate Change: An Environmentally Extended Social Accounting Matrix (ESAM) based approach for India

机译:经济增长对气候变化的影响:基于环境扩展的社会核算矩阵(Esam)的印度方法

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摘要

This paper analyse the impact of growth in sectoral output and employment on green house gas emissions (GHG) in India. To analyse this we have used environmentally extended social accounting matrix (ESAM) based approach for India. The ESAM shows inter relationship between the economic activities as well as their impact on environment. The environmental impacts are captured through emission of GHGs, depletion of natural resources like land, coal and crude oil. India was an early leader in social accounting matrix (SAM) based analysis but this is the first ESAM for India. In this study we have constructed 35 sectors ESAM for India for the year 2006-07 with detail description of energy sectors. The pollution trade-off multiplier obtained from this ESAM helps us to analyse total (direct, and indirect-induced) impact of growth in sectoral output and employment on GHG emission in India. Here we have assumed public investment and foreign trade as exogenous variables. So the result shows that due to interdendency between the production sectors total increase in GHG emission is higher than their direct effects. Sometimes researchers rely on the direct relationship between the economic activity and GHG emissions but their indirect impact must be incorporated to see economy wide impact on GHG emission. The result of this study shows that the direct effect of paddy sector on GHG emission is substantially lower than their indirect-induced effect. The direct effect of paddy sector on GHG emission is around 6tons/Rs. lakh of output but its total effect on GHG emission is around 32 tons /Rs. lakh of output. Also this study shows that growth in service sector in India will not be the jobless growth and its total impact on GHG emission is not significant.
机译:本文分析了部门产出和就业增长对印度温室气体排放量(GHG)的影响。为了对此进行分析,我们对印度使用了基于环境扩展的社会核算矩阵(ESAM)的方法。 ESAM显示了经济活动之间的相互关系及其对环境的影响。通过排放温室气体,消耗土地,煤炭和原油等自然资源来捕获环境影响。印度是基于社会会计矩阵(SAM)的分析的早期领导者,但这是印度的第一个ESAM。在这项研究中,我们为2006-07年度印度建立了35个部门的ESAM,并详细描述了能源部门。从该ESAM获得的污染权衡乘数可帮助我们分析部门产出和就业增长对印度温室气体排放的总体(直接和间接诱发)影响。在这里,我们假设公共投资和对外贸易是外生变量。因此,结果表明,由于生产部门之间的相互依存关系,温室气体排放总量的增加高于其直接影响。有时研究人员依赖于经济活动与温室气体排放之间的直接关系,但必须纳入其间接影响才能看到经济对温室气体排放的广泛影响。这项研究的结果表明,稻田对温室气体排放的直接影响远低于其间接诱发的影响。稻田对温室气体排放的直接影响约为6吨/卢比。产量达10万,但其对温室气体排放的总影响约为32吨/ Rs。十万个输出。这项研究还表明,印度服务业的增长将不会是失业的增长,并且其对温室气体排放的总体影响并不显着。

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