CO₂ emissions in G20 economies: A dynamic panel analysis of economic and energy-sector drivers
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Author(s)Nuriddin ShanyazovLink to ORCID Index: https://orcid.org/0009-0000-1691-5289
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Alibek RajabovLink to ORCID Index: https://orcid.org/0000-0002-5252-6456
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Manzura MasharipovaLink to ORCID Index: https://orcid.org/0000-0002-3158-6935
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Sadokat RakhimovaLink to ORCID Index: https://orcid.org/0009-0002-8351-6602
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Dilshodbek SaidovLink to ORCID Index: https://orcid.org/0009-0005-2721-5807
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Javohir BabajanovLink to ORCID Index: https://orcid.org/0009-0000-0827-2383
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DOIhttp://dx.doi.org/10.21511/ee.16(3).2025.03
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Article InfoVolume 16 2025, Issue #3, pp. 29-40
- 163 Views
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46 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
Mitigating the effects of climate change has emerged as a crucial global need, with carbon dioxide emissions serving as the principal driver of greenhouse gas accumulation. This paper analyzes the factors influencing CO₂ emissions in G20 countries from 2000 to 2021, emphasizing the effects of renewable energy consumption, trade openness, economic growth, and energy intensity. The study utilizes advanced dynamic panel econometric techniques, namely, the Augmented Mean Group (AMG) Estimator and the Common Correlated Effects Mean Group (CCEMG) Estimator, which address cross-sectional dependence and parameter heterogeneity among nations. The analysis indicates that the use of renewable energy noticeably decreases CO₂ emissions, with elasticity values between –0.15 and –0.16. The effect is especially significant in lower-income G20 countries and during the post-2005 era. Economic growth indicates a strong positive correlation with CO₂ emissions, characterized by elasticity values ranging from 0.83 to 0.89, whereas energy intensity also displays positive effects with coefficients between 0.69 and 0.82. Trade openness exhibits insignificant statistical effects in both models. The heterogeneity study reveals that the emission-reduction potential of renewable energy is significantly greater in emerging nations than in advanced economies, with coefficients of –0.25 and –0.08, respectively. The results highlight the essential role of renewable energy transitions and enhancements in energy efficiency for meeting climate goals, especially when aligned with specific policies for various income levels and timeframes within the G20 context.
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JEL Classification (Paper profile tab)Q53, Q56, Q43, C33
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References36
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Tables9
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Figures0
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- Table 1. Descriptive statistics
- Table 2. Correlation matrix
- Table 3. Cross-sectional dependence test results
- Table 4. Panel unit root test results
- Table 5. Panel cointegration test results
- Table 6. Long-run estimation results
- Table 7. Short-run estimation results
- Table 8. CCEMG estimation results by time period
- Table 9. CCEMG estimation results by income group
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- Acheampong, A. O. (2019). Modelling for insight: Does trade openness and financial development necessarily improve environmental quality in African countries? Energy Economics, 83, 157-179.
- Al Mamun, T. G. M., Ehsanullah, Hassan, S., Amin, M. B., & Oláh, J. (2025). Has the Paris Agreement shaped emission trends? A panel VECM analysis of energy, growth, and CO₂ in 106 middle-income countries. arXiv preprint.
- Alaganthiran, J. R., & Anaba, M. I. (2022). The effects of economic growth on carbon dioxide emissions in selected Sub-Saharan African (SSA) countries. Heliyon, 8(11), Article e11193.
- Al-Mulali, U., & Ozturk, I. (2015). The effect of energy consumption, urbanization, trade openness, industrial output, and the political stability on the environmental degradation in the MENA (Middle East and North African) region. Energy, 84, 382-389.
- Apergis, N., Kuziboev, B., Abdullaev, I., & Rajabov, A. (2023). Investigating the association among CO2 emissions, renewable and non-renewable energy consumption in Uzbekistan: An ARDL approach. Environmental Science and Pollution Research, 30(14), 39666-39679.
- Aye, G. C., Edoja, P. E., & Charfeddine, L. (2017). Effect of economic growth on CO2 emission in developing countries: Evidence from a dynamic panel threshold model. Cogent Economics & Finance, 5(1), Article 1379239.
- Bond, S., & Eberhardt, M. (2009). Cross-section dependence in nonstationary panel models: A novel estimator (MPRA Paper No. 17692). Lund University, Sweden.
- Chen, Y., Wang, Z., & Zhong, Z. (2019). CO₂ emissions, economic growth, renewable and non-renewable energy production and foreign trade in China. Renewable Energy, 131, 208-216.
- Cole, M. A., & Elliott, R. J. (2003). Determining the trade-environment composition effect: The role of capital, labor and environmental regulations. Journal of Environmental Economics and Management, 46(3), 363-383.
- Dogan, E., & Seker, F. (2016). Determinants of CO2 emissions in the European Union: The role of renewable and non-renewable energy. Renewable Energy, 94, 429-439.
- Dong, K., Sun, R., & Hochman, G. (2018). Do natural gas and renewable energy consumption lead to less CO₂ emission? Empirical evidence from a panel of BRICS countries. Energy, 141, 1466-1478.
- Frankel, J. A., & Rose, A. K. (2005). Is trade good or bad for the environment? Sorting out the causality. Review of Economics and Statistics, 87(1), 85-91.
- Gozgor, G., & Can, M. (2017). Does export product quality matter for CO₂ emissions? Evidence from China. Environmental Science and Pollution Research, 24(3), 2866-2875.
- Grossman, G. M., & Krueger, A. B. (1995). Economic growth and the environment. The Quarterly Journal of Economics, 110(2), 353-377.
- Hamdi, H., & Sbia, R. (2012). Error-correction based panel estimates of the relationship between CO₂ emissions, energy usage and output in Gulf Cooperation Council countries (MPRA Paper No. 49906).
- International Energy Agency (IEA). (2023). CO2 emissions in 2022.
- IRENA. (2021). Renewable Power Generation Costs in 2020. Abu Dhabi: International Renewable Energy Agency.
- Liu, H., Fan, J., Zhou, K., & Wang, Q. (2019). Exploring regional differences in the impact of high energy-intensive industries on CO₂ emissions: Evidence from a panel analysis in China. Environmental Science and Pollution Research, 26, 26229-26241.
- Mahapatra, B., & Irfan, M. (2023). Investigating asymmetric impacts of total factor energy efficiency on carbon emissions in India. Environmental Science and Pollution Research, 30(19), 55340-55353.
- Managi, S., Hibiki, A., & Tsurumi, T. (2009). Does trade openness improve environmental quality? Journal of Environmental Economics and Management, 58(3), 346-363.
- Namahoro, J. P., Wu, Q., Zhou, N., & Xue, S. (2021). Impact of energy intensity, renewable energy, and economic growth on CO₂ emissions: Evidence from Africa across regions and income levels. Renewable and Sustainable Energy Reviews, 147, 111233.
- Onofrei, M., Vatamanu, A. F., & Cigu, E. (2022). The relationship between economic growth and CO2 emissions in EU countries: A cointegration analysis. Frontiers in Environmental Science, 10, Article 934885.
- Pedroni, P. (2004). Panel cointegration: Asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory, 20(3), 597-625.
- Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels (Discussion Paper No. 1240).
- Pesaran, M. H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74(4), 967-1012.
- Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265-312.
- Saidi, K., & Hammami, S. (2015). The effect of energy consumption and economic growth on CO₂ emissions: Evidence from 58 countries. Business and Economic Research, 3(3), 91-104.
- Teal, F., & Eberhardt, M. (2010). Productivity analysis in global manufacturing production (Discussion Paper No. 515). Department of Economics, University of Oxford.
- Udeagha, M. C., & Breitenbach, M. C. (2023). Environmental effects of trade openness in SADC countries: Evidence from nonlinear autoregressive distributed lag models. Environmental Systems and Decisions, 43(1), 105-121.
- World Bank. (2023a). Carbon dioxide (CO2) emissions excluding LULUCF per capita (t CO2e/capita). World Development Indicators.
- World Bank. (2023b). Energy intensity level of primary energy (MJ/$ 2017 PPP GDP). World Development Indicators.
- World Bank. (2023c). GDP per capita (constant 2015 USD). World Development Indicators.
- World Bank. (2023d). Renewable energy consumption (% of total final energy consumption). World Development Indicators.
- World Bank. (2023e). Trade (% of GDP). World Development Indicators.
- Zhu, H., Duan, L., Guo, Y., & Yu, K. (2016). The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression. Economic Modelling, 58, 237-248.
- Zoundi, Z. (2017). CO2 emissions, renewable energy and the Environmental Kuznets Curve, a panel cointegration approach. Renewable and Sustainable Energy Reviews, 72, 1067-1075.
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Impact on poverty and income inequality in Malaysia’s economic growth
Rabiul Islam 
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Ahmad Bashawir Abdul Ghani ,
Irwanshah Zainal Abidin ,
Jeya Malar Rayaiappan
doi: http://dx.doi.org/10.21511/ppm.15(1).2017.05
Problems and Perspectives in Management Volume 15, 2017 Issue #1 pp. 55-62 Views: 12906 Downloads: 6113 TO CITE АНОТАЦІЯPoverty and income inequality are extreme issues that still exist in Malaysia. Any rise in poverty and income inequality definitely affect economic growth. There are many great efforts taken by the government of Malaysia to eradicate poverty and to reduce the gap of income inequality which occurs since 1970’s. The incidence of poverty and income inequality is higher in rural areas compared to urban areas. This paper is mainly to study the level of poverty and income inequality in Malaysia together with government intervention to develop Malaysia’s economic growth. The research is focused among the working people at Ipoh, Perak. In this paper, questionnaire forms are being distributed to get information regarding the issue of poverty and income inequality. It also looks into the strategies taken by the government of Malaysia to eradicate poverty and income inequality. Few recommendations are given in terms of education policy, financial aid and assistance from government and non-government organization (NGO) to upgrade the standard and quality of living among the poor and lower-income group of people.
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Impact of inflation on economic growth: evidence from Nigeria
Anthony Olugbenga Adaramola ,
Oluwabunmi Dada
doi: http://dx.doi.org/10.21511/imfi.17(2).2020.01
Investment Management and Financial Innovations Volume 17, 2020 Issue #2 pp. 1-13 Views: 10737 Downloads: 6123 TO CITE АНОТАЦІЯIn an attempt to examine the influence of inflation on the growth prospects of the Nigerian economy, the study employs the autoregressive distributed lag on the selected variables, i.e. real gross domestic product (GDP), inflation rate, interest rate, exchange rate, degree of economy`s openness, money supply, and government consumption expenditures for the period 1980–2018. The study findings indicate that inflation and real exchange rate exert a significant negative impact on economic growth, while interest rate and money supply indicate a positive and significant impact on economic growth. Other variables in the model depict no influence on the economic growth of Nigeria. The causality result shows the unidirectional relationships between interest rate, exchange rate, government consumption expenditures and gross domestic product. However, inflation and the degree of openness show no causal relationship with gross domestic product. As a result, the study recommends that a more pragmatic effort is needed by the monetary authorities to target the inflation vigorously to prevent its adverse effect by ensuring a tolerable rate that would stimulate the economic growth of Nigeria.
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Formalization of the impact of imbalances in the movement of financial resources on economic growth of countries in Central and Eastern Europe
Serhiy Kozmenko ,
Maxim Korneyev
doi: http://dx.doi.org/10.21511/afc.01(1).2017.06
Accounting and Financial Control Volume 1, 2017 Issue #1 pp. 48-58 Views: 8568 Downloads: 1573 TO CITEThe article deals with the impact of financialization on economic growth in countries of Central and Eastern Europe. It determinesthe impact of imbalances in the movement of financial resources caused by financialization on economic growth of these countries. It proves that the implementation of measures aimed at increasing the openness of the economy and maintaining solvent demand have a positive impact on economic growth of the surveyed countries in the long run. It also proves the importance of developing a set of measures of strategic nature regulating imbalances in the movement of financial resources caused by financialization.
