Modeling the emissions–income relationship using long-run growth rates
The authors adopt a new approach to modeling the relationship between emissions and income using long-run per capita growth rates. This approach allows them to test multiple hypotheses about the drivers of per capita emissions in a single framework and avoid several of the econometric issues that ha...
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Veröffentlicht in: | Environment and development economics 2017-12, Vol.22 (6), p.699-724 |
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creator | Stern, David I. Gerlagh, Reyer Burke, Paul J. |
description | The authors adopt a new approach to modeling the relationship between emissions and income using long-run per capita growth rates. This approach allows them to test multiple hypotheses about the drivers of per capita emissions in a single framework and avoid several of the econometric issues that have plagued the environmental Kuznets curve literature. They estimate models for carbon and sulfur dioxide emissions. They can reject restricted models that omit either growth or beta convergence effects. Although the term representing the environmental Kuznets effect is statistically significant for per capita carbon and sulfur dioxide emissions, the estimated income per capita turning points are out of the sample for the full data set. |
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Although the term representing the environmental Kuznets effect is statistically significant for per capita carbon and sulfur dioxide emissions, the estimated income per capita turning points are out of the sample for the full data set.</description><identifier>ISSN: 1355-770X</identifier><identifier>EISSN: 1469-4395</identifier><identifier>DOI: 10.1017/S1355770X17000109</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Carbon ; Carbon dioxide ; Correlation analysis ; Econometrics ; Economic growth ; Economic models ; Elasticity ; Emissions ; Environmental economics ; Environmental Kuznets curve ; Fossil fuels ; GDP ; Gross Domestic Product ; Growth rate ; Hypotheses ; Income ; Modelling ; Per capita ; Statistical analysis ; Sulfur ; Sulfur dioxide</subject><ispartof>Environment and development economics, 2017-12, Vol.22 (6), p.699-724</ispartof><rights>Copyright © Cambridge University Press 2017</rights><rights>Cambridge University Press 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c561t-95664d591587ee792cfb44f0b62f07c1e64b0f432d971cca217faa95b12ae74e3</citedby><cites>FETCH-LOGICAL-c561t-95664d591587ee792cfb44f0b62f07c1e64b0f432d971cca217faa95b12ae74e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26392761$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S1355770X17000109/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,776,780,799,27843,27901,27902,55603,57992,58225</link.rule.ids></links><search><creatorcontrib>Stern, David I.</creatorcontrib><creatorcontrib>Gerlagh, Reyer</creatorcontrib><creatorcontrib>Burke, Paul J.</creatorcontrib><title>Modeling the emissions–income relationship using long-run growth rates</title><title>Environment and development economics</title><addtitle>Envir. 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Although the term representing the environmental Kuznets effect is statistically significant for per capita carbon and sulfur dioxide emissions, the estimated income per capita turning points are out of the sample for the full data set.</description><subject>Carbon</subject><subject>Carbon dioxide</subject><subject>Correlation analysis</subject><subject>Econometrics</subject><subject>Economic growth</subject><subject>Economic models</subject><subject>Elasticity</subject><subject>Emissions</subject><subject>Environmental economics</subject><subject>Environmental Kuznets curve</subject><subject>Fossil fuels</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Growth rate</subject><subject>Hypotheses</subject><subject>Income</subject><subject>Modelling</subject><subject>Per capita</subject><subject>Statistical analysis</subject><subject>Sulfur</subject><subject>Sulfur 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Dev. Econ</addtitle><date>2017-12-01</date><risdate>2017</risdate><volume>22</volume><issue>6</issue><spage>699</spage><epage>724</epage><pages>699-724</pages><issn>1355-770X</issn><eissn>1469-4395</eissn><abstract>The authors adopt a new approach to modeling the relationship between emissions and income using long-run per capita growth rates. This approach allows them to test multiple hypotheses about the drivers of per capita emissions in a single framework and avoid several of the econometric issues that have plagued the environmental Kuznets curve literature. They estimate models for carbon and sulfur dioxide emissions. They can reject restricted models that omit either growth or beta convergence effects. Although the term representing the environmental Kuznets effect is statistically significant for per capita carbon and sulfur dioxide emissions, the estimated income per capita turning points are out of the sample for the full data set.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/S1355770X17000109</doi><tpages>26</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Carbon Carbon dioxide Correlation analysis Econometrics Economic growth Economic models Elasticity Emissions Environmental economics Environmental Kuznets curve Fossil fuels GDP Gross Domestic Product Growth rate Hypotheses Income Modelling Per capita Statistical analysis Sulfur Sulfur dioxide |
title | Modeling the emissions–income relationship using long-run growth rates |
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