A meta-analysis of the economic impact of carbon emissions in Africa
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Received August 14, 2022;Accepted September 29, 2022;Published November 9, 2022
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Author(s)Link to ORCID Index: https://orcid.org/0000-0003-0181-7947Link to ORCID Index: https://orcid.org/0000-0001-9205-8127Link to ORCID Index: https://orcid.org/0000-0001-7351-9717Link to ORCID Index: https://orcid.org/0000-0002-3356-9493
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DOIhttp://dx.doi.org/10.21511/ee.13(1).2022.08
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Article InfoVolume 13 2022, Issue #1, pp. 89-100
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The economic impact of carbon emissions in Africa is gaining traction in the extant literature. This study adopted Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to concomitantly track data on carbon emissions versus economic growth in Africa from 2018 to 2022 providing evidence from a meta-analysis. Through database searches, 591 publications were identified. A machine learning algorithm called Latent Dirichlet Allocation (LDA) was used as a visualization technique for reporting trends in the eleven papers selected for the analysis. Identifying, evaluating, and summarizing the findings of all relevant individual studies conducted in Africa on the impact of economic growth on carbon emissions contributes to the existing body of knowledge. This study fills a critical gap by surveying the studies conducted in Africa in the last five years, implying that economic growth negatively and significantly triggers CO2 emissions in Africa. The debate on the economic impact of CO2 emissions in Africa, the most vulnerable continent to climate change, is elucidated. The findings tracked sources of data for carbon emissions in Africa. The results showed that although some studies reported a positive correlation (and some a negative correlation) between economic growth and carbon emissions, most studies concur that the economic impact of carbon emissions over a timeline can be explained by the Environmental Kuznets Curve (EKC) hypothesis. Therefore, there is a dire need for African countries to strengthen economic growth without deteriorating their environment or having ecological footprint. Future research must assess whether this trend on the economic impact of carbon emissions in Africa continues.
Acknowledgment
The authors express their appreciation to the Durban University of Technology for providing the resources to conduct this study.
- Keywords
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JEL Classification (Paper profile tab)O44, O55, P18, Q54
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References39
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Tables3
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Figures6
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- Figure 1. PRISMA flow diagram of literature retrieval
- Figure 2. Topics and weights produced by Latent Dirichlet Allocation (LDA)
- Figure 3. Topic keywords in terms of their importance (weights)
- Figure 4. Word clouds of top keywords in each topic
- Figure 5. Sentence topic coloring for documents
- Figure 6. Visualization of inter-related topics
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- Table 1. Selected papers on the economic growth in Africa versus emissions
- Table 2. Selected papers by country, time series, methodology, and data source
- Table 3. Impacting factors on carbon emissions in Africa
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- Aboagye, S. (2019). Examining the energy consumption and CO2 emissions nexus in South Africa within the Environmental Kuznets Curve hypothesis framework. Journal of Applied Economics and Business Research, 9(2), 64-82.
- Appiah, K., Du, J., Yeboah, M., & Appiah, R. (2019). Causal relationship between industrialization, energy intensity, economic growth and carbon dioxide emissions: recent evidence from Uganda. International Journal of Energy Economics and Policy, 9(2), 237-245.
- Asongu, S. A. (2018a). CO2 emission thresholds for inclusive human development in sub-Saharan Africa. Environmental Science and Pollution Research, 25(26), 26005-26019.
- Asongu, S. A. (2018b). ICT, openness and CO2 emissions in Africa. Environmental Science and Pollution Research, 25(10), 9351-9359.
- Asongu, S. A., El Montasser, G., & Toumi, H. (2016). Testing the relationships between energy consumption, CO2 emissions, and economic growth in 24 African countries: a panel ARDL approach. Environmental Science and Pollution Research, 23(7), 6563-6573.
- Asumadu-Sarkodie, S., & Owusu, P. (2017). Carbon dioxide emissions, GDP per capita, industrialization and population: An evidence from Rwanda. Environmental Engineering Research, 22(1), 116-124.
- Bélaïd, F., & Youssef, M. (2017). Environmental degradation, renewable and non-renewable electricity consumption, and economic growth: Assessing the evidence from Algeria. Energy policy, 102, 277-287.
- Benzerrouk, Z., Abid, M., & Sekrafi, H. (2021). Pollution haven or halo effect? A comparative analysis of developing and developed countries. Energy Reports, 7, 4862-4871.
- Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, 993-1022.
- Chatzigeorgiou, I. M., & Andreou, G. T. (2021). A systematic review on feedback research for residential energy behavior change through mobile and web interfaces. Renewable and Sustainable Energy Reviews, 135, 110187.
- Chaudhry, S. M., Ahmed, R., Shafiullah, M., & Huynh, T. L. D. (2020). The impact of carbon emissions on country risk: Evidence from the G7 economies. Journal of Environmental Management, 265, 110533.
- Dhrifi, A., Jaziri, R., & Alnahdi, S. (2020). Does foreign direct investment and environmental degradation matter for poverty? Evidence from developing countries. Structural Change and Economic Dynamics, 52, 13-21.
- Dong, K., Hochman, G., Zhang, Y., Sun, R., Li, H., & Liao, H. (2018). CO2 emissions, economic and population growth, and renewable energy: empirical evidence across regions. Energy Economics, 75, 180-192.
- Fernandes, C. I., Veiga, P. M., Ferreira, J. J., & Hughes, M. (2021). Green growth versus economic growth: Do sustainable technology transfer and innovations lead to an imperfect choice? Business Strategy and the Environment, 30(4), 2021-2037.
- Ganda, F. (2019). Carbon emissions, diverse energy usage and economic growth in South Africa: Investigating existence of the environmental kuznets curve (EKC). Environmental Progress & Sustainable Energy, 38(1), 30-46.
- Ganda, F., & Milondzo, K. S. (2018). The impact of carbon emissions on corporate financial performance: Evidence from the South African firms. Sustainability, 10(7), 2398.
- Jelodar, H., Wang, Y., Yuan, C., Feng, X., Jiang, X., Li, Y., & Zhao, L. (2019). Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey. Multimedia Tools and Applications, 78(11), 15169-15211.
- Khobai, H., & Sithole, K. (2021). The Relationship between Economic Growth and Carbon Emissions in South Africa. International Journal of Energy Economics and Policy, 12(2), 516-525.
- Lee, J. W. (2019). Long-run dynamics of renewable energy consumption on carbon emissions and economic growth in the European Union. International Journal of Sustainable Development & World Ecology, 26(1), 69-78.
- Liu, X., Zhang, S., & Bae, J. (2018). Renewable energy, trade, and economic growth in the Asia-Pacific region. Energy Sources, Part B: Economics, Planning, and Policy, 13(2), 96-102.
- Mapapu, B., & Phiri, A. (2018). Carbon Emissions and Economic Growth in South Africa: A Quantile Regresison Analysis. International Journal of Energy Economics and Policy, 8(1), 195-202.
- Mesagan, E. P. (2015). Economic growth and carbon emission in Nigeria. The IUP Journal of Applied Economics, 14(4), 61-75.
- Mesagan, E. P., Osuji, E., & Agbonrofo, H. (2022). Comparative analysis of the growth impact of pollution and energy use in selected West African nations. Environmental Science and Pollution Research, 29, 66438-66449.
- Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., Stewart, L. A., & PRISMA-P Group. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1), 1-9.
- Mohmmed, A., Li, Z., Arowolo, A. O., Su, H., Deng, X., Najmuddin, O., & Zhang, Y. (2019). Driving factors of CO2 emissions and nexus with economic growth, development and human health in the Top Ten emitting countries. Resources, Conservation and Recycling, 148, 157-169.
- Moonsamy, D., Naicker, N., Adeliyi, T. T., & Ogunsakin, R. E. (2021). A meta-analysis of educational data mining for predicting students performance in programming. International Journal of Advanced Computer Science and Applications, 12(2), 97-104.
- Namahoro, J. P., Wu, Q., Xiao, H., & Zhou, N. (2021). The impact of renewable energy, economic and population growth on CO2 emissions in the East African region: Evidence from common correlated effect means group and asymmetric analysis. Energies, 14(2), 312.
- Nathaniel, S., Barua, S., Hussain, H., & Adeleye, N. (2021). The determinants and interrelationship of carbon emissions and economic growth in African economies: fresh insights from static and dynamic models. Journal of Public Affairs, 21(1), e2141.
- Nathaniel, S., Nwodo, O., Adediran, A., Sharma, G., Shah, M., & Adeleye, N. (2019). Ecological footprint, urbanization, and energy consumption in South Africa: Including the excluded. Environmental Science and Pollution Research, 26, 27168-27179.
- Nkengfack, H., & Fotio, H. K. (2019). Energy consumption, economic growth and carbon emissions: Evidence from the top three emitters in Africa. Modern Economy, 10(1), 52-71.
- Olubusoye, O. E., Musa, D., & Ercolano, S. (rev.ed.). (2020). Carbon emissions and economic growth in Africa: are they related? Cogent Economics & Finance, 8(1), 1850400.
- Sam, C., Naicker, N., & Rajkoomar, M. (2020). Meta-analysis of artificial intelligence works in ubiquitous learning environments and technologies. International Journal of Advanced Computer Science and Applications, 11(9), 603-613.
- Ssali, M. W., Du, J., Hongo, D. O., & Mensah, I. A. (2018). Impact of economic growth, energy use and population growth on carbon emissions in sub-Sahara Africa. Journal of Environmental Science and Engineering B, 7, 178-192.
- Tawiah, V. K., Zakari, A., & Khan, I. (2021). The environmental footprint of China-Africa engagement: an analysis of the effect of China-Africa partnership on carbon emissions. Science of the Total Environment, 756, 143603.
- Tull, D. M. (2006). China’s engagement in Africa: scope, significance and consequences. The Journal of Modern African Studies, 44(3), 459-479.
- Ushie, D. A., & Aderinto, E. R. (2021). Energy consumption, economic development and environmental degradation nexus for Nigeria. Journal of Life Economics, 8(4), 463-473.
- Vitenu-Sackey, P. A. (2020). Financial development, foreign direct investment and carbon emissions: A comparative study of West Africa and Southern Africa Regions. International Review, 6(1), 1550-1569.
- Wang, J., & Dong, K. (2019). What drives environmental degradation? Evidence from 14 Sub-Saharan African countries. Science of the Total Environment, 656, 165-173.
- Zhang, P., & Liu, B. (2020). Differentiation among Glioblastomas, Primary Cerebral Lymphomas, and Solitary Brain Metastases Using Diffusion Weighted Imaging and Diffusion Tensor Imaging: A PRISMA Compliant Meta-analysis. ACS Chemical Neuroscience, 11(3), 477-483.
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Conceptualization
Mogiveny Rajkoomar, Ferina Marimuthu, Nalindren Naicker, Jean Damascene Mvunabandi
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Investigation
Mogiveny Rajkoomar, Ferina Marimuthu
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Validation
Mogiveny Rajkoomar, Ferina Marimuthu, Nalindren Naicker
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Writing – original draft
Mogiveny Rajkoomar, Ferina Marimuthu, Nalindren Naicker
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Formal Analysis
Ferina Marimuthu, Nalindren Naicker
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Supervision
Ferina Marimuthu, Nalindren Naicker
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Visualization
Ferina Marimuthu, Nalindren Naicker
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Data curation
Nalindren Naicker
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Methodology
Nalindren Naicker, Jean Damascene Mvunabandi
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Writing – review & editing
Jean Damascene Mvunabandi
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Conceptualization
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Exploring the environmental Kuznets curve for CO2 and SO2 for Southeast Asia in the 21st century context
Environmental Economics Volume 9, 2018 Issue #1 pp. 7-21 Views: 2617 Downloads: 415 TO CITE АНОТАЦІЯThis study aims to investigate the relationships between economic development and environmental degradation regarding the emissions of CO2 and SO2 in Southeast Asia (SEA). The pooling data consist of 10 countries, Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Singapore, the Philippines, Thailand, and Vietnam, in the period 2003-2012. Furthermore, income elasticity of CO2 and SO2 emissions is computed for each country to observe the sensitivity of environmental degradation through the emissions of CO2 and SO2 brought by economic development.
The results indicate that CO2 displays an inverted U-shape pattern, whereas SO2 has decreased at an increasing rate since 2003. It is expected that SO2 will increase as the SEA economies further develop. The turning points for both CO2 and SO2, indicate that the current SEA income level has not reached the turning point. The income elasticities show that income elasticities for CO2 are positive for all 10 countries. Both Singapore and Malaysia are classified as countries with high income. However, Singapore, with 0.64%, has the highest income elasticity, and Malaysia, with 0.15%, has the second lowest. There is no indication that wealthy countries have a significant impact on CO2 through economic development. Income elasticities for SO2 of each country are all negative. This suggests that SO2 is an inferior good. Brunei, with 8.41%, has the most sensitivity toward change in SO2 emissions, whereas Myanmar, with only 0.58%, is the least sensitive to SO2 emissions. -
The role of foreign direct investment and trade on carbon emissions in Turkey
Gizem Kaya , M. Özgür Kayalica , Merve Kumaş , Burc Ulengin doi: http://dx.doi.org/10.21511/ee.08(1).2017.01Environmental Economics Volume 8, 2017 Issue #1 pp. 8-17 Views: 2046 Downloads: 1002 TO CITE АНОТАЦІЯThis study aims to observe the long run and short run effects of gross domestic product, foreign direct investment inflows and trade on CO2 emissions and causality relationships between these factors, using annual data for the period of 1974-2010. The empirical results demonstrate that the inverted U-shaped relationship of environmental Kuznets curve is valid for Turkey. In addition, there are positive long run effects of foreign direct investment and trade openness on CO2 emissions. The authors also find a bidirectional causality relationship between CO2 emission and FDI.
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Oil price and Indonesian economic growth
Sultan , Julius Jhonny Sarungu , Albertus Maqnus Soesilo , Siti Aisyah Tri Rahayu doi: http://dx.doi.org/10.21511/ppm.17(1).2019.14Problems and Perspectives in Management Volume 17, 2019 Issue #1 pp. 152-162 Views: 1704 Downloads: 220 TO CITE АНОТАЦІЯOil prices and economic growth are important indicators to see the success of Indonesia’s development performance. The use of oil as the world’s main energy source in general and Indonesia in particular is driven by industrialization. The more industries, the greater the energy resources needed. In the same context, economic growth will also increase oil demand. The purpose of this study is to examine and create empirical evidence of the relationship between world oil prices and economic growth towards domestic oil prices. Furthermore, to test and create empirical evidence on the relationship of domestic oil prices, agriculture, trade, investment, inflation, interest rates, industry, labor, exchange rates and balance of payments to economic growth. The expected output of this research will be to provide information on the policy of the transmission mechanism of oil prices and economic growth in Indonesia. The method used is descriptive and econometric approach to the analysis of simultaneous equation models with two stages of the least squares method. The results of the study indicate that there is a simultaneous relationship between oil prices and economic growth. Economic growth, world oil prices and domestic oil prices a year ago had a positive effect on domestic oil prices. The second result shows that domestic oil, agriculture, investment, interest rates, industry, exchange rates, balance of payments and economic growth in the previous year have a positive effect on economic growth, while trade, inflation and labor have a negative influence on economic growth.