560
Views
0
CrossRef citations to date
0
Altmetric
GENERAL & APPLIED ECONOMICS

Greening the future: Unveiling the link between industrial structure upgrading and pollution emission in sub-Saharan Africa

ORCID Icon, ORCID Icon, & ORCID Icon
Article: 2257069 | Received 03 Aug 2023, Accepted 05 Sep 2023, Published online: 15 Sep 2023

References

  • Abid, M. (2016). Impact of economic, financial, and institutional factors on CO2 emissions: Evidence from sub-Saharan Africa economies. Utilities Policy, 41, 85–20. https://doi.org/10.1016/j.jup.2016.06.009
  • Abokyi, E., Appiah-Konadu, P., Abokyi, F., & Oteng-Abayie, E. F. (2019). Industrial growth and emissions of CO2 in Ghana: The role of financial development and fossil fuel consumption. Energy Reports, 5, 1339–1353. https://doi.org/10.1016/j.egyr.2019.09.002
  • Abokyi, E., Appiah-Konadu, P., Tangato, K. F., & Abokyi, F. (2021). Electricity consumption and carbon dioxide emissions: The role of trade openness and manufacturing sub-sector output in Ghana. Energy and Climate Change, 2, 100026. https://doi.org/10.1016/j.egycc.2021.100026
  • Acheampong, A. O., Adams, S., & Boateng, E. (2019). Do globalization and renewable energy contribute to carbon emissions mitigation in sub-Saharan Africa? Science of the Total Environment, 677, 436–446. https://doi.org/10.1016/j.scitotenv.2019.04.353
  • Adebayo, T. S., Kartal, M. T., Ağa, M., & Al-Faryan, M. A. S. (2023). Role of country risks and renewable energy consumption on environmental quality: Evidence from MINT countries. Journal of Environmental Management, 327, 116884. https://doi.org/10.1016/j.jenvman.2022.116884
  • Adom, P. K., Bekoe, W., Amuakwa-Mensah, F., Mensah, J. T., & Botchway, E. (2012). Carbon dioxide emissions, economic growth, industrial structure, and technical efficiency: Empirical evidence from Ghana, Senegal, and Morocco on the causal dynamics. Energy, 47(1), 314–325. https://doi.org/10.1016/j.energy.2012.09.025
  • Ahmad, M., & Zhao, Z. Y. (2018). Empirics on linkages among industrialization, urbanization, energy consumption, CO2 emissions and economic growth: A heterogeneous panel study of China. Environmental Science and Pollution Research, 25(30), 30617–30632. https://doi.org/10.1007/s11356-018-3054-3
  • Ajanaku, B. A., & Collins, A. R. (2021). Economic growth and deforestation in African countries: Is the environmental Kuznets curve hypothesis applicable? Forest Policy and Economics, 129, 102488. https://doi.org/10.1016/j.forpol.2021.102488
  • Alola, A. A., & Adebayo, T. S. (2023). The potency of resource efficiency and environmental technologies in carbon neutrality target for Finland. Journal of Cleaner Production, 389, 136127. https://doi.org/10.1016/j.jclepro.2023.136127
  • Baloch, M. A., & Wang, B. (2019). Analyzing the role of governance in CO2 emissions mitigation: The BRICS experience. Structural Change and Economic Dynamics, 51, 119–125. https://doi.org/10.1016/j.strueco.2019.08.007
  • Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239–253. https://doi.org/10.2307/2297111
  • Baloch, M. A., Mahmood, N., & Zhang, J. W. (2019). Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries. Science of the Total Environment, 678, 632–638. https://doi.org/10.1016/j.scitotenv.2019.05.028
  • Dietz, T., & Rosa, E. A. (1994). Rethinking the environmental impacts of population, affluence and technology. Human Ecology Review, 1(2), 277–300. https://www.jstor.org/stable/24706840
  • Dong, J., Dou, Y., Jiang, Q., & Zhao, J. (2021). How does industrial structure upgrading affect the global greenhouse effect? Evidence from RCEP and non-RCEP countries. Frontiers in Energy Research, 9, 683166. https://doi.org/10.3389/fenrg.2021.683166
  • Dou, Y., Zhao, J., & Dong, J. (2021). Re-estimating the impact of natural gas on global carbon emissions: The role of technological innovation. Frontiers in Energy Research, 9, 651586. https://doi.org/10.3389/fenrg.2021.651586
  • Dumitrescu, E. I., & Hurlin, C. (2012). Testing for granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014
  • Duodu, E., Kwarteng, E., Oteng-Abayie, E. F., & Frimpong, P. B. (2021). Foreign direct investments and environmental quality in sub-Saharan Africa: The merits of policy and institutions for environmental sustainability. Environmental Science and Pollution Research, 28(46), 66101–66120. https://doi.org/10.1007/s11356-021-15288-1
  • Duodu, E., & Mpuure, D. M. N. (2023). International trade and environmental pollution in sub-Saharan Africa: Do exports and imports matter? Environmental Science and Pollution Research, 30(18), 53204–53220. https://doi.org/10.1007/s11356-023-26086-2
  • Duodu, E., Oteng-Abayie, E. F., Frimpong, P. B., & Takyi, P. O. (2022). The impact of the compact with Africa initiative on foreign direct investments and environmental pollution. Management of Environmental Quality: An International Journal, 33(6), 1457–1475. https://doi.org/10.1108/MEQ-01-2022-0011
  • Grossman, G. M., & Krueger, A. B. (1995). Economic growth and the environment. The Quarterly Journal of Economics, 110(2), 353–377. https://doi.org/10.2307/2118443
  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 46(6), 1251–1271. https://doi.org/10.2307/1913827
  • Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. https://doi.org/10.1016/S0304-4076(03)00092-7
  • Intergovernmental Panel on Climate Change (2021). Third assessment report of the intergovernmental panel on climate c hange. URL: https://unfccc.int/third-assessment-report-of-the-intergovernmental-panel-on-climate-change
  • Khan, Z., Ali, S., Umar, M., Kirikkaleli, D., & Jiao, Z. (2020). Consumption-based carbon emissions and international trade in G7 countries: The role of environmental innovation and renewable energy. Science of the Total Environment, 730, 138945. https://doi.org/10.1016/j.scitotenv.2020.138945
  • Kwakwa, P. A., & Adusah-Poku, F. (2020). The carbon dioxide emission effects of domestic credit and manufacturing indicators in South Africa. Management of Environmental Quality: An International Journal, 31(6), 1531–1548. https://doi.org/10.1108/MEQ-11-2019-0245
  • Liu, X., Adebayo, T. S., Ramzan, M., Ullah, S., Abbas, S., & Olanrewaju, V. O. (2023). Do coal efficiency, climate policy uncertainty and green energy consumption promote environmental sustainability in the United States? An application of novel wavelet tools. Journal of Cleaner Production, 417, 137851. https://doi.org/10.1016/j.jclepro.2023.137851
  • Mi, Z. F., Pan, S. Y., Yu, H., & Wei, Y. M. (2015). Potential impacts of industrial structure on energy consumption and CO2 emission: A case study of Beijing. Journal of Cleaner Production, 103, 455–462. https://doi.org/10.1016/j.jclepro.2014.06.011
  • Nsanyan Sandow, J., Duodu, E., Oteng-Abayie, E. F., & Seetharam, Y. (2021). Regulatory capital requirements and bank performance in Ghana: Evidence from panel corrected standard error. Cogent Economics & Finance, 9(1), 2003503. https://doi.org/10.1080/23322039.2021.2003503
  • Oteng-Abayie, E. F., Duodu, E., Mensah, G., & Frimpong, P. B. (2022a). Natural resource abundance, environmental sustainability, and policies and institutions for environmental sustainability in sub-Saharan Africa. Resources Policy, 79, 103097. https://doi.org/10.1016/j.resourpol.2022.103097
  • Oteng-Abayie, E. F., Mensah, G., & Duodu, E. (2022b). The role of environmental regulatory quality in the relationship between natural resources and environmental sustainability in sub-Saharan Africa. Heliyon, 8(12), e12436. https://doi.org/10.1016/j.heliyon.2022.e12436
  • 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. https://doi.org/10.1002/jae.951
  • Reed, W. R., & Ye, H. (2011). Which panel data estimator should I use? Applied Economics, 43(8), 985–1000. https://doi.org/10.1080/00036840802600087
  • Tian, X., Bai, F., Jia, J., Liu, Y., & Shi, F. (2019). Realizing low-carbon development in a developing and industrializing region: Impacts of industrial structure change on CO2 emissions in southwest China. Journal of Environmental Management, 233, 728–738. https://doi.org/10.1016/j.jenvman.2018.11.078
  • UNCTAD. (2013). The state of industrial development in Africa: Unexploited opportunities amidst growing challenges (policy brief, no. 27). https://unctad.org/system/files/official-document/presspb2013d1_en.pdf
  • United Nations Climate Change (UNFCCC). (2020). Race to zero campaign. United Nations Framework Convention on Climate Change. https://unfccc.int/climate-action/race-to-zero-campaign
  • Wang, Q., Sun, J., Li, R., & Pata, U. K. (2023b). Linking trade openness to load capacity factor: The threshold effects of natural resource rent and corruption control. Gondwana Research. https://doi.org/10.1016/j.gr.2023.05.016
  • Wang, Q., Wang, L., & Li, R. (2023d). Trade openness helps move towards carbon neutrality—insight from 114 countries. Sustainable Development. https://doi.org/10.1002/sd.2720
  • Wang, Q., Wang, X., & Li, R. (2022). Does urbanization redefine the environmental Kuznets curve? An empirical analysis of 134 countries. Sustainable Cities and Society, 76, 103382. https://doi.org/10.1016/j.scs.2021.103382
  • Wang, W. J., & Xiang, Q. F. (2014). Adjustment of industrial structure and the potential assessment of energy saving and carbon reduction. China Industrial Economics, 310(1), 44–56.
  • Wang, Q., Zhang, F., & Li, R. (2023a). Free trade and carbon emissions revisited: The asymmetric impacts of trade diversification and trade openness. Sustainable Development. https://doi.org/10.1002/sd.2703
  • Wang, Q., Zhang, F., & Li, R. (2023c). Revisiting the environmental kuznets curve hypothesis in 208 counties: The roles of trade openness, human capital, renewable energy and natural resource rent. Environmental Research, 216, 114637. https://doi.org/10.1016/j.envres.2022.114637
  • Wang, Z., Zhang, B., & Liu, T. (2016). Empirical analysis on the factors influencing national and regional carbon intensity in China. Renewable and Sustainable Energy Reviews, 55, 34–42. https://doi.org/10.1016/j.rser.2015.10.077
  • WDI. (2021). World development indicators. World Bank.
  • Wu, L., Sun, L., Qi, P., Ren, X., & Sun, X. (2021). Energy endowment, industrial structure upgrading, and CO2 emissions in China: Revisiting resource curse in the context of carbon emissions. Resources Policy, 74, 102329. https://doi.org/10.1016/j.resourpol.2021.102329
  • Yang, Y., Wei, X., Wei, J., & Gao, X. (2022). Industrial structure upgrading, green total factor productivity and carbon emissions. Sustainability, 14(2), 1009. https://doi.org/10.3390/su14021009
  • Yuan, Y., Xi, Q., Sun, T., & Li, G. (2016). The impact of the industrial structure on regional carbon emission: Empirical evidence across countries. Geographical Research, 35(1), 82–94. https://doi.org/10.11821/dlyj201601008
  • Zhang, Y. J., Liu, Z., Zhang, H., & Tan, T. D. (2014). The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China. Natural Hazards, 73(2), 579–595. https://doi.org/10.1007/s11069-014-1091-x
  • Zhang, Z., Ma, X., Lian, X., Guo, Y., Song, Y., Chang, B., & Luo, L. (2020). Research on the relationship between China’s greenhouse gas emissions and industrial structure and economic growth from the perspective of energy consumption. Environmental Science and Pollution Research, 27(33), 41839–41855. https://doi.org/10.1007/s11356-020-10091-w
  • Zhao, L., Zhao, T., & Yuan, R. (2022). Scenario simulations for the peak of provincial household CO2 emissions in China based on the STIRPAT model. Science of the Total Environment, 809, 151098. https://doi.org/10.1016/j.scitotenv.2021.151098
  • Zhou, X., Zhang, J., & Li, J. (2013). Industrial structural transformation and carbon dioxide emissions in China. Energy Policy, 57, 43–51. https://doi.org/10.1016/j.enpol.2012.07.017