Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions

By Vicente Rios, L. Gianmoena. Energy Economics, 2018

127 citations recorded by the source corpus.

This research analyzes the evolution of CO2 emissions per capita in a sample of 141 countries during the period 1970–2014. The study develops a spatially augmented Green Solow model by taking into consideration technological externalities and interdependence in the process of production, which ultimately implies that CO2 emissions in an economy are affected by the economic characteristics in neighboring countries. The empirical model predicts convergence in CO2 emissions among countries which is examined by means of modern dynamic spatial panel econometric techniques. The multimodal distribution of the CO2 emissions is consistent with the existence of three spatial clubs. The space-time dynamics of the three clubs are analyzed by means of the Local Directional Moran Scatterplot and spatial panel model with heterogeneous parameters. Our analysis reveals the hypothesis of spatial convergence clubs is more consistent with the data than the hypothesis of conditional convergence.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/12398cd8104981f01d2f0359502697542417251c

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In Economics and Econometrics

1. Yuli Shan
2. Zhifu Mi
3. D. Guan
4. Jiali Zheng
5. Shouyang Wang
6. D. Coffman
7. Stanimira Milcheva
8. Jing Meng

Citations in the corpus

• Regional development and carbon emissions in China (2019, background): “when discussing how to achieve emission reduction targets fairly and at the lowest cost (Rios and Gianmoena, 2018).”