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

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.