The Estimation Parameters of Kuznets Spatial Environmental Curve in European Countries ( A Case Study of CO2 And PM10 and Incidence of Tuberculosis and Life Expectancy at Birth)

I. Danaeifar
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引用次数: 10

Abstract

Environmental Kuznets Curve is one of the most well-known concepts in the field of environmental economics that has developed during the past twenty years in various aspects. One of the new improvements in the study of EKC relationship is paying attention to spatial nature of environmental phenomena. The concept of the spatial environmental Kuznets curve (SEKC) is entirely similar to that of EKC, except that it considers spatial autocorrelation of environmental pollutants as one of the explanatory variables. The present investigation attempts by using spatial panel data model to examine the spatial environmental Kuznets curve (SEKC) for two global (CO2) and local (PM10) pollutants, Incidence of tuberculosis and Life expectancy at birth, in geographical scope of 30 European Countries over the period of 1992–2008. According to the results, there is an inverse U-shaped relationship between income and carbon dioxide and particulate matter, tuberculosis, life expectancy at birth there
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欧洲国家库兹涅茨空间环境曲线估算参数(以CO2和PM10与结核病发病率和出生时预期寿命为例)
环境库兹涅茨曲线是近二十年来环境经济学在各个方面发展起来的最著名的概念之一。EKC关系研究的新进展之一是关注环境现象的空间性质。空间环境库兹涅茨曲线(SEKC)的概念与EKC完全相似,只是它将环境污染物的空间自相关作为解释变量之一。本研究试图利用空间面板数据模型,在1992-2008年期间,在30个欧洲国家的地理范围内,研究两种全球(CO2)和当地(PM10)污染物、结核病发病率和出生时预期寿命的空间环境库兹涅茨曲线(SEKC)。结果显示,收入与二氧化碳、颗粒物、结核病、出生时预期寿命之间呈反u型关系
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