CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions

By Kangyin Dong, G. Hochman, Ya-Qin Zhang, Renjin Sun, Hui Li, Hua Liao. Energy Economics, 2018

631 citations recorded by the source corpus.

This study empirically investigates the nexus among carbon dioxide (CO2) emissions, economic and population growth, and renewable energy across regions. To do so, an unbalanced panel dataset of 128 countries over the period 1990–2014 is utilized. Considering the cross-sectional dependence and slope homogeneity observed in the panel, a series of econometric techniques allowing for cross-sectional dependence and slope homogeneity is employed. The results of cross-sectional dependence and slope homogeneity tests confirm the existence of significant cross-sectional dependence and heterogeneity. The empirical results of the common correlated effects mean group (CCEMG) estimator indicate that, at both the global and regional levels, population size and economic growth positively and significantly influence CO2 emission levels. Furthermore, although increased renewable energy intensity leads to a decline in CO2 emissions for all of the six regions, its coefficient in S. & Cent. America and Europe & Eurasia is considerably higher than the levels seen in other regions, which may be affected by the proportion of renewable energy in the primary energy mix. Finally, the results of panel causality testing provide evidence of varied causality links among the variables across regions.

Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/a01ced76b5311638da216eaeac0fc6d7aa744e79

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Yuli Shan
2. Zhifu Mi
3. D. Guan
4. Jiali Zheng
5. Kangyin Dong
6. Xiucheng Dong
7. Cong Dong
8. Shouyang Wang

In Renewable Energy, Sustainability and the Environment

1. Xiucheng Dong
2. Kangyin Dong
3. Zhifu Mi
4. Yuli Shan
5. Cong Dong
6. Jiali Zheng
7. D. Coffman
8. Shouyang Wang

Citations in the corpus

• Determinants of the global and regional CO2 emissions: What causes what and where? (2019, methodology): “…emissions; Nonrenewable and renewable energies; KIFs; STIRPAT model; Global and regional analysis JEL CLASSIFICATION C23; Q20; Q30; Q56 I. Introduction As the main greenhouse gas, the world has witnessed rapidly increasing carbon dioxide (CO2) emissions in the past few decades (Dong et al. 2018a).”
• The repercussions of foreign direct investment, renewable energy and health expenditure on environmental decay? An econometric analysis of B&RI countries (2020, methodology): “due to its prominence in policy implications (Dong et al. 2018).”
• Environmental policy stringency, renewable energy consumption and CO2 emissions: Panel cointegration analysis for BRIICTS countries (2020, result): “Our results concerning renewable energy is in line with other previous studies that show that renewable energy consumption is beneficial to environmental quality (e.g. see Bekun, Emir, and Sarkodie 2019; Bilgili, Koçak, and Bulut 2016; Dong et al. 2017; Ito 2017; Nguyen and Kakinaka 2019; Sebri and ”
• Regional development and carbon emissions in China (2019, background): “In the future, it will also be necessary to further strengthen synergistic cooperation and mutual learning among regions (Dong et al., 2018).”