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                <identifier>oai:data.mendeley.com/k4jswt6wyb.1</identifier>
                <datestamp>2020-04-19T14:00:01Z</datestamp>
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    <dc:creator>Alatas, Sedat</dc:creator>
    <dc:title>Data for: How Production Based and Consumption Based Emissions Accounting Systems Change Climate Policy Analysis: The Case of CO2 Convergence</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This document includes dataset and codes used in the paper &quot;How Production Based and Consumption Based Emissions Accounting Systems Change Climate Policy Analysis: The Case of CO2 Convergence&quot;.

Our data file is data-raw. The variables used in cross sectional regression are as follows

1-) cbe90: Carbon dioxide emissions per capita occurring anywhere in the world attributed to the country in which goods and services are consumed in 1990, Source: Global Carbon Atlas Database
2-) cbe15: Carbon dioxide emissions per capita occurring anywhere in the world attributed to the country in which goods and services are consumed in 2015, Source: Global Carbon Atlas Database
3-) pbe90: Carbon dioxide emissions per capita attributed to the country in which they physically occur in 1990, Source: Global Carbon Atlas Database
4-) pbe15: Carbon dioxide emissions per capita attributed to the country in which they physically occur in 2015, Source: Global Carbon Atlas Database
5-) x03: Exports of goods and services (constant 2010 US$) in 2003, Source: World Development Indicators
6-) gdpper03: GDP per capita (constant 2010 US$) in 2003, Source: World Development Indicators
7-) m03: Imports of goods and services (constant 2010 US$) in 2003, Source: World Development Indicators
8-) pd03: Population density (people per sq. km of land area) in 2003, Source: World Development Indicators
9-) p03: Population, total in 2003,  Source: World Development Indicators
10-) fdi03: Foreign direct investment, net inflows (% of GDP) in 2003, Source: World Development Indicators

To generate the cross sectional regression results reported in table 2, use &quot;data_raw.xlsx&quot; and run the &quot;stata_cross_section&quot; text file.


</dc:description>
    <dc:subject>Climate Change Policy</dc:subject>
    <dc:subject>Emissions</dc:subject>
    <dc:subject>Cross-Country Output Convergence</dc:subject>
    <dc:contributor>Karakaya, Etem </dc:contributor>
    <dc:contributor>Yılmaz, Burcu</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/k4jswt6wyb.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/k4jswt6wyb.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/k4jswt6wyb</dc:relation>
    <dc:date>2020-04-19T14:00:01Z</dc:date>
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