Data for: How Production Based and Consumption Based Emissions Accounting Systems Change Climate Policy Analysis: The Case of CO2 Convergence

Published: 19 April 2020| Version 1 | DOI: 10.17632/k4jswt6wyb.1
Contributors:
Etem KARAKAYA,
Burcu Yılmaz,
Sedat Alatas

Description

This document includes dataset and codes used in the paper "How Production Based and Consumption Based Emissions Accounting Systems Change Climate Policy Analysis: The Case of CO2 Convergence". 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 "data_raw.xlsx" and run the "stata_cross_section" text file.

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