调查环境库兹涅茨曲线:印度的面板数据分析

Sweety Pandey, Mrutyunjaya Mishra
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引用次数: 2

摘要

本研究的主要目的是使用2001-2016年期间的数据,研究环境库兹涅茨曲线(EKC)假设在描述印度21个州的空气污染与发展之间关系方面的相关性。本文试图采用面板单位根、面板协整检验和面板动态普通最小二乘法检验各变量之间的关系,其中大气二氧化硫(SO2)/二氧化氮(NO2)浓度、国家国内生产净值、社会部门支出等变量作为构成效应和发展效应的代理变量。实证分析表明,SO2和NO2浓度与人均收入等变量之间存在着长期的关系。就EKC假设而言,研究结果建议长期存在立方关系,并强调需要在经济活动中引入环境友好型结构变化,并通过技术创新加强可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating Environmental Kuznets Curve: A Panel Data Analysis for India
The main objective of this study is to examine the relevance of the Environmental Kuznets Curve (EKC) hypothesis in describing the relationship between air pollution and development of a panel of 21 Indian states, using data for the period 2001–2016. This article attempts to use panel unit root, the panel cointegration test and panel dynamic ordinary least square approach to examine the relationship among various variables, including the atmospheric concentration of sulphur dioxide (SO2)/nitrogen dioxide (NO2), net state domestic product, social sector expenditure and other variables used as a proxy for the composition effect and development effect. The empirical analysis indicates that there exists a long-term relationship between the concentration of SO2 and NO2 with per capita income and other variables. In terms of the EKC hypothesis, the findings recommend the existence of a cubic relationship in the long run and emphasise the need to bring environment-friendly structural changes in economic activity and to enhance sustainable development through technological innovation.
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