Energy consumption, technological innovation, and environmental degradation in SADC countries

References

• Adebayo, T. S., Coelho, M. F., Onbaşıoğlu, D. Ç., Rjoub, H., Mata, M. N., Carvalho, P. V., Rita, J. X., & Adeshola, I. (2021). Modeling the dynamic linkage between renewable energy consumption, globalization, and environmental degradation in South Korea: Does technological innovation matter? Energies, 14(14), 1. https://doi.org/10.3390/en14144265
   Web of Science ®Google Scholar
• Adebayo, T. S., & Kirikkaleli, D. (2021). Impact of renewable energy consumption, globalization, and technological innovation on environmental degradation in Japan: Application of wavelet tools. Environment, Development and Sustainability, 23(11), 16057–18. https://doi.org/10.1007/s10668-021-01322-2
   Web of Science ®Google Scholar
• Adebayo, T. S., & Rjoub, H. (2022). A new perspective into the impact of renewable and nonrenewable energy consumption on environmental degradation in Argentina : A time – frequency analysis. Environmental Science and Pollution Research International, 29(11), 16028–16044. https://doi.org/10.1007/s11356-021-16897-6
   PubMed Web of Science ®Google Scholar
• Adebayo, T. S., Ullah, S., Kartal, M. T., Ali, K., Pata, U. K., & Ağa, M. (2023). Endorsing sustainable development in BRICS: The role of technological innovation, renewable energy consumption, and natural resources in limiting carbon emission. The Science of the Total Environment, 859(Pt 1), 160181. https://doi.org/10.1016/j.scitotenv.2022.160181
   PubMedGoogle Scholar
• Adenle, A. A. (2020). Assessment of solar energy technologies in Africa-opportunities and challenges in meeting the 2030 agenda and sustainable development goals. Energy Policy, 137(December 2019), 111180. https://doi.org/10.1016/j.enpol.2019.111180
   Web of Science ®Google Scholar
• Adikari, A. M P., Liu, H., Dissanayake, D., & Ranagalage, M. (2023). Human capital and carbon emissions: The way forward reducing environmental degradation. Sustainability (Switzerland), 15(4), 2926. https://doi.org/10.3390/su15042926
   Web of Science ®Google Scholar
• Adom, P. K. (2016). The transition between energy efficient and energy inefficient states in Cameroon. Energy Economics, 54, 248–262. https://doi.org/10.1016/j.eneco.2015.11.025
   Web of Science ®Google Scholar
• Alam, M. M., & Murad, M. W. (2020). The impacts of economic growth, trade openness and technological progress on renewable energy use in organization for economic co-operation and development countries. Renewable Energy. 145, 382–390. https://doi.org/10.1016/j.renene.2019.06.054
   Web of Science ®Google Scholar
• Ali, A., Audi, M., & Roussel, Y. (2021). Natural resources depletion, renewable energy consumption, and environmental degradation: A comparative analysis of developed and developing world. International Journal of Energy Economics and Policy, 11(3), 251–260. https://doi.org/10.32479/ijeep.11008
   Google Scholar
• Altinoz, B., & Dogan, E. (2021). How renewable energy consumption and natural resource abundance impact environmental degradation? New findings and policy implications from quantile approach. Energy Sources, Part B: Economics, Planning and Policy, 16(4), 345–356. https://doi.org/10.1080/15567249.2021.1885527
   Web of Science ®Google Scholar
• Arora, N. K., & Mishra, J. (2024). COP28: Ambitions, realities, and future. Environmental Sustainability, 7(1), 1–4. https://doi.org/10.1007/s42398-024-00304-0
   Google Scholar
• Azam, A., Rafiq, M., Shafique, M., & Yuan, J. (2022). Mitigating carbon emissions in China: The role of clean energy, technological innovation, and political-institutional quality. Frontiers in Environmental Science, 10, 1–21. https://doi.org/10.3389/fenvs.2022.814439
   Web of Science ®Google Scholar
• Bai, J., Choi, S. H., & Liao, Y. (2021). Feasible generalized least squares for panel data with cross-sectional and serial correlations. Empirical Economics, 60(1), 309–326. https://doi.org/10.1007/s00181-020-01977-2
   Web of Science ®Google Scholar
• Bano, S., Zhao, Y., Ahmad, A., Wang, S., & Liu, Y. (2018). Identifying the impacts of human capital on carbon emissions in Pakistan. Journal of Cleaner Production, 183, 1082–1092. https://doi.org/10.1016/j.jclepro.2018.02.008
   Web of Science ®Google Scholar
• Benlemlih, M., Assaf, C., & El Ouadghiri, I. (2022). Do political and social factors affect carbon emissions? Evidence from international data. Applied Economics, 54(52), 6022–6035. https://doi.org/10.1080/00036846.2022.2056128
   Web of Science ®Google Scholar
• Browning, M., McFarland, J., Bistline, J., Boyd, G., Muratori, M., Binsted, M., Harris, C., Mai, T., Blanford, G., Edmonds, J., Fawcett, A. A., Kaplan, O., & Weyant, J. (2023). Net-zero CO2 by 2050 scenarios for the United States in the energy modeling forum 37 study. Energy and Climate Change, 4, 1–13. https://doi.org/10.1016/j.egycc.2023.100104
   PubMedGoogle Scholar
• Bwalya, K. J., & Healy, M. (2010). Harnessing e-government adoption in the SADC region : A conceptual underpinning. Electronic Journal of E-Government, 8(1), 23–32.
   Google Scholar
• Chen, W., & Lei, Y. (2018). The impacts of renewable energy and technological innovation on environment-energy-growth nexus: New evidence from a panel quantile regression. Renewable Energy, 123, 1–14. https://doi.org/10.1016/j.renene.2018.02.026
   Web of Science ®Google Scholar
• Chopra, R., Rehman, M. A., Yadav, A., & Bhardwaj, S. (2024). Revisiting the EKC framework concerning COP-28 carbon neutrality management: Evidence from Top-5 carbon embittering countries. Journal of Environmental Management, 356, 120690. https://doi.org/10.1016/j.jenvman.2024.120690
   PubMed Web of Science ®Google Scholar
• Depren, K. S., Kartal, M. T., Çelikdemir, N. Ç., & Depren, Ö. (2022). Energy consumption and environmental degradation nexus: A systematic review and meta-analysis of fossil fuel and renewable energy consumption. Ecological Informatics, 70(June)., 101747. https://doi.org/10.1016/j.ecoinf.2022.101747
   Web of Science ®Google Scholar
• Destek, M. A., & Aslan, A. (2020). Disaggregated renewable energy consumption and environmental pollution nexus in G-7 countries. Renewable Energy. 151, 1298–1306. https://doi.org/10.1016/j.renene.2019.11.138
   Web of Science ®Google Scholar
• Dogan, E., & Seker, F. (2016). The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries. Renew Sust Energ Rev, 60, 1074–1085.
   Web of Science ®Google Scholar
• Egli, H., & Steger, T. M. (2005). A dynamic model of the environmental Kuznets curve  : Turning Point and Public Policy. 04/33.
   Google Scholar
• Erol-Kantarci, M., & Mouftah, H. T. (2015). Energy-efficient information and communication infrastructures in the smart grid: A survey on interactions and open issues. IEEE Communications Surveys & Tutorials, 17(1), 179–197. https://doi.org/10.1109/COMST.2014.2341600
   Web of Science ®Google Scholar
• Friedman, M. (1937). The use of ranks to avoid the assumption of normality simplicity in the analysis of variance. Journal of American Statistical Association, 32, 675–701.
   Web of Science ®Google Scholar
• Ganda, F. (2019). The impact of innovation and technology investments on carbon emissions in selected organisation for economic Co-operation and development countries. Journal of Cleaner Production, 217(2019), 469–483. https://doi.org/10.1016/j.jclepro.2019.01.235
   Google Scholar
• Gani, A. (2012). The relationship between good governance and carbon dioxide emissions: Evidence from developing economies. Journal of Economic Development, 37(1), 77–93.
   Google Scholar
• Geerts, R. J. (2018). Beyond scarcity perspectives on energy transition. Relations, 6(1), 49–68. https://doi.org/10.7358/rela-2018-001-geer
   Google Scholar
• Geerts, R.-J. (2017). Philosophical explorations on energy transition.
   Google Scholar
• Geng, Y., Chen, W., Liu, Z., Chiu, A. S., Han, W., Liu, Z., Zhong, S., Qian, Y., You, W., & Cui, X. (2017). A bibliometric review: Energy consumption and greenhouse gas emissions in the residential sector. Journal of Cleaner Production, 159(800), 301–316. https://doi.org/10.1016/j.jclepro.2017.05.091
   Google Scholar
• Gule, L. (2021). The effects of FDI and economic growth on CO2 emissions in SADC. PEOPLE: International Journal of Social Sciences, 7(1), 75–87. https://doi.org/10.20319/pijss.2021.71.7587
   Google Scholar
• Haini, H. (2021). Examining the impact of ICT, human capital and carbon emissions: Evidence from the ASEAN economies. International Economics, 166, 116–125. october 2020 https://doi.org/10.1016/j.inteco.2021.03.003
   Google Scholar
• Halkos, G. E., & Tzeremes, N. G. (2013). Carbon dioxide emissions and governance: A nonparametric analysis for the G-20. Energy Economics, 40(2013), 110–118. https://doi.org/10.1016/j.eneco.2013.06.010
   Google Scholar
• Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. http://www.jstor.org/stable/1913827%5Cnhttp://www.jstor.org/%5Cnhttp://www.jstor.org/action/showPublisher?publisherCode=econosoc.%5Cnhttp://www.jstor.org. https://doi.org/10.2307/1913827
   Web of Science ®Google Scholar
• Hilty, L., Coroama, V., Osses De Eicke, M., Ruddy, T., & Muller, E. (2009). The role of ICT in energy consumption and energy efficiency. Report to the European Commission, DG INFSO, Project ICT ENSURE: European ICT Sustainability Research, Graz University, 1, pp. 1–60.
   Google Scholar
• Ikpesu, F., Vincent, O., & Dakare, O. (2019). Growth effect of trade and investment in Sub-Saharan Africa countries: Empirical insight from panel corrected standard error (PCSE) technique. Cogent Economics & Finance, 7(1), 1607127. https://doi.org/10.1080/23322039.2019.1607127
   Web of Science ®Google Scholar
• Jiang, T., He, X., Su, B., Havea, P. H., Wei, K., Kundzewicz, Z. W., & Liu, D. (2024). COP 28: Challenge of coping with climate crisis. The Innovation, 5(1), 100559. https://doi.org/10.1016/j.xinn.2023.100559
   PubMedGoogle Scholar
• Jin, L., Duan, K., & Tang, X. (2018). What is the relationship between technological innovation and energy consumption? Empirical analysis based on provincial panel data from China. Sustainability,)10(2), 145. https://doi.org/10.3390/su10010145
   Google Scholar
• Kaika, D., & Zervas, E. (2013). The environmental Kuznets curve (EKC) theory-Part A: Concept, causes and the CO2 emissions case. Energy Policy, 62, 1392–1402. https://doi.org/10.1016/j.enpol.2013.07.131
   Web of Science ®Google Scholar
• Karim, S., Appia, M., Naeem, M. A., Lucey, B. M., & Li, M. (2022). Modelling the role of institutional quality on carbon emissions in Sub-Saharan African countries. Renewable Energy. 198, 213–221. https://doi.org/10.1016/j.renene.2022.08.074
   Web of Science ®Google Scholar
• Kartal, M. T., Samour, A., Adebayo, T. S., & Depren, S. K. (2023). Do nuclear energy and renewable energy surge environmental quality in the United States? New insights from novel bootstrap Fourier Granger causality in quantiles approach. Progress in Nuclear Energy, 155, 104509. https://doi.org/10.1016/j.pnucene.2022.104509
   Web of Science ®Google Scholar
• Khan, M. Q. S., Yan, Q., Alvarado, R., & Ahmad, M. (2023). A novel EKC perspective: Do agricultural production, energy transition, and urban agglomeration achieve ecological sustainability? Environmental Science and Pollution Research International, 30(16), 48471–48483. https://doi.org/10.1007/s11356-023-25741-y
   PubMed Web of Science ®Google Scholar
• Khan, N. H., Ju, Y., Latif, Z., Khan, K., Danish, (2021) ‘Nexus between carbon emission, financial development, and access to electricity: Incorporating the role of natural resources and population growth’, Journal of Public Affairs, 21(1), 1–10. https://doi.org/10.1002/pa.2131
   Web of Science ®Google Scholar
• Khan, S., Khan, M. K., & Muhammad, B. (2021). Impact of financial development and energy consumption on environmental degradation in 184 countries using a dynamic panel model. Environmental Science and Pollution Research International, 28(8), 9542–9557. https://doi.org/10.1007/s11356-020-11239-4
   PubMed Web of Science ®Google Scholar
• Kivyiro, P. T. (2023). The causal links between urbanization, energy use and carbon emissions: A case of SADC region. Tanzania Journal of Science, 49(2), 503–515. https://doi.org/10.4314/tjs.v49i2.20
   Google Scholar
• Kumawat, R., & Patel, N. (2022). Are ESG disclosures value relevant? A panel-corrected standard error (PCSE) approach. Global Business Review, 23(6), 1558–1573. https://doi.org/10.1177/09721509221128637
   Web of Science ®Google Scholar
• Kwakwa, P. A., Adusah-Poku, F., & Adjei-Mantey, K. (2021). Towards sustainable environment: Does electricity crisis matter for the effect of industrialisation and urbanisation on carbon dioxide emissions?. In Responsible management in emerging markets: A multisectoral focus (pp. 297–323).
   Google Scholar
• Li, Y., & Solaymani, S. (2021). Energy consumption, technology innovation and economic growth nexuses in Malaysian. Energy, 232, 121040. https://doi.org/10.1016/j.energy.2021.121040
   Web of Science ®Google Scholar
• Lin, B., & Li, Z. (2020). Is more use of electricity leading to less carbon emission growth? An analysis with a panel threshold model. Energy Policy, 137(November 2019), 111121. https://doi.org/10.1016/j.enpol.2019.111121
   Google Scholar
• Liu, X., Latif, Z., Latif, S., Mahmood, N., Danish, (2021) The corruption-emissions nexus : Do information and communication technologies make a difference ?. Utilities Policy, 72(July), 101244. https://doi.org/10.1016/j.jup.2021.101244
   Google Scholar
• Liu, Y., Li, Z., & Yin, X. (2018). Environmental regulation, technological innovation and energy consumption – A cross-region analysis in China. Journal of Cleaner Production, 203(2018), 885–897. https://doi.org/10.1016/j.jclepro.2018.08.277
   Google Scholar
• Madakufamba, M., Johnson, P., Dzinomwa, G., Ndhlovu, A., Chitsa, T., & Kampilipili, N. (2017). Overview of the SADC energy and resources: Prospects and challenges for China-SADC cooperation (September), pp. 1–36.
   Google Scholar
• Mawutor, J. K. M., Sogah, E., & Gborse, F. C. (2023). Circular economy and carbon emissions: threshold effect of quality of governance. Management of Environmental Quality: An International Journal, 1–23. https://doi.org/10.1108/MEQ-04-2023-0110
   Google Scholar
• Miller, S., & Startz, R. (2019). Feasible generalized least squares using support vector regression. Economics Letters, 175, 28–31. https://doi.org/10.1016/j.econlet.2018.12.001
   Web of Science ®Google Scholar
• Mobeen, U. R., & Rashid, M. (2017). Energy consumption to environmental degradation, the growth appetite in SAARC nations. Renewable Energy. 111, 284–294. https://doi.org/10.1016/j.renene.2017.03.100
   Web of Science ®Google Scholar
• Moyer, J. D., & Hughes, B. B. (2012). ICTs: Do they contribute to increased carbon emissions? Technological Forecasting and Social Change, 79(5), 919–931. https://doi.org/10.1016/j.techfore.2011.12.005
   Web of Science ®Google Scholar
• Mughal, N., Arif, A., Jain, V., Chupradit, S., Shabbir, M. S., Ramos-Meza, C. S., & Zhanbayev, R. (2022). The role of technological innovation in environmental pollution, energy consumption and sustainable economic growth: Evidence from South Asian economies. Energy Strategy Reviews, 39, 100745. https://doi.org/10.1016/j.esr.2021.100745
   Web of Science ®Google Scholar
• Muhammad, S., & Long, X. (2021). Rule of law and CO2 emissions: A comparative analysis across 65 belt and road initiative(BRI) countries. Journal of Cleaner Production, 279, 123539. https://doi.org/10.1016/j.jclepro.2020.123539
   Web of Science ®Google Scholar
• Munir, K., & Riaz, N. (2020). Asymmetric impact of energy consumption on environmental degradation : Evidence from Australia, China, and USA. Enviromental Science and Pollution Research, 27(2020), 11749–11759.
   PubMedGoogle Scholar
• Musau, M. V., Waititu, A. G., & Wanjoya, A. K. (2015). Modeling panel data: Comparison of GLS estimation and robust covariance matrix estimation. American Journal of Theoretical and Applied Statistics, 4(3), 185. https://doi.org/10.11648/j.ajtas.20150403.25
   Google Scholar
• Nayaga, P., Adusah-Poku, F., Dramani, J. B., & Takyi, P. O. (2022). The threshold effect of electricity consumption and urbanization on carbon dioxide emissions in Ghana. Management of Environmental Quality: An International Journal, 33(3), 586–604. https://doi.org/10.1108/MEQ-09-2021-0229
   Google Scholar
• Nizami, M. A. F., Ahmad, M., & Latif, A. (2023). Towards sustainable energy transition: Assessing access to clean fuels and cooking technologies. Bulletin of Buisness and Economics, 12(2), 112–117.
   Google Scholar
• Peansupap, V., & Walker, D. H. T. (2006). Innovation diffusion at the implementation stage of a construction project: A case study of information communication technology. Construction Management and Economics, 24(3), 321–332. https://doi.org/10.1080/01446190500435317
   Google Scholar
• Pesaran, M. (2004). () General diagnostic tests for cross section dependence in panels. Cambridge Working Paper in Economics. 0435.
   Google Scholar
• Pham, H. N., & Islam, S. M. (2022). Corporate governance, ownership structure, and firm performance: mediation models and dynamic approaches. Routledge. https://doi.org/10.4324/9781003255741-1
   Google Scholar
• Rahman, M. M., & Alam, K. (2022). Effects of corruption, technological innovation, globalisation, and renewable energy on carbon emissions in Asian countries. Utilities Policy, 79(July), 101448. https://doi.org/10.1016/j.jup.2022.101448
   Google Scholar
• Rogers, E. M. (1962). Diffusion of innovations (1st ed.). Free Press.
   Google Scholar
• Sadiq, M.,Wen, F., &Dagestani, A. A. (2022). Environmental footprint impacts of nuclear energy consumption: The role of environmental technology and globalization in ten largest ecological footprint countries. Nuclear Engineering and Technology, 54(10), 3672–3681. https://doi.org/10.1016/j.net.2022.05.016
   Web of Science ®Google Scholar
• Sahin, I. (2006). Detailed review of Rogers’ diffusion of innovations theory and educational technology-related studies based on Rogers’ theory. The Turkish Online Journal of Educational Technology, 5(2), 14–23.
   Google Scholar
• Salman, M., Long, X., Dauda, L., & Mensah, C. N. (2019). The impact of institutional quality on economic growth and carbon emissions: Evidence from Indonesia, South Korea and Thailand. Journal of Cleaner Production, 241, 118331. https://doi.org/10.1016/j.jclepro.2019.118331
   Web of Science ®Google Scholar
• Sehrawat, M., & Giri, A. K. (2014). The relationship between financial development indicators and human development in India. International Journal of Social Economics, 41(12), 1194–1208. https://doi.org/10.1108/IJSE-11-2013-0268
   Google Scholar
• Sharif, A., Mishra, S., Sinha, A., Jiao, Z., Shahbaz, M., & Afshan, S. (2020). The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach. Renewable Energy. 150(97908), 670–690. https://doi.org/10.1016/j.renene.2019.12.149
   Google Scholar
• Sibanda, K., Gonese, D., & Garidzirai, R. (2023). Human capital and environmental sustainability nexus in selected SADC countries. Resources, 12(4), 52. https://doi.org/10.3390/resources12040052
   Google Scholar
• Sovacool, B. K., Hess, D. J., & Cantoni, R. (2021). Energy transitions from the cradle to the grave: A meta-theoretical framework integrating responsible innovation, social practices, and energy justice. Energy Research & Social Science, 75(February), 102027. https://doi.org/10.1016/j.erss.2021.102027
   Google Scholar
• Tahir, M., Hayat, A., & Burki, U. (2022). Determinants of environmental degradation in Saudi Arabia: Exploring the unexplored. International Journal of Energy Sector Management, 16(1), 129–148. https://doi.org/10.1108/IJESM-04-2020-0011
   Web of Science ®Google Scholar
• The Global Economy. (2023). Annual economic report. [Online]. https://www.theglobaleconomy.com
   Google Scholar
• Udeagha, M. C., & Ngepah, N. (2022). The asymmetric effect of technological innovation on CO2 emissions in South Africa: New evidence from the QARDL approach. Frontiers in Environmental Science, 10 (November), 1–26. https://doi.org/10.3389/fenvs.2022.985719
   Google Scholar
• Ulucak, Recep, Ozcan, Burcu, Danish, (2020) Relationship between energy consumption and environmental sustainability in OECD countries: The role of natural resources rents, Resources Policy, 69(July), 101803. https://doi.org/10.1016/j.resourpol.2020.101803
   Google Scholar
• Umar, M., Mirza, N., Hasnaoui, J. A., & Rochoń, M. P. (2022). The nexus of carbon emissions, oil price volatility, and human capital efficiency. Resources Policy, 78 (July), 102876. https://doi.org/10.1016/j.resourpol.2022.102876
   Google Scholar
• Usman, M., Anwar, S., Yaseen, M. R., Makhdum, M. S. A., Kousar, R., & Jahanger, A. (2022). Unveiling the dynamic relationship between agriculture value addition, energy utilization, tourism and environmental degradation in South Asia. Journal of Public Affairs, 22(4) https://doi.org/10.1002/pa.2712
   PubMed Web of Science ®Google Scholar
• Wiredu, J., Yang, Q., Inuwa, U. L., & Sampene, A. K. (2023). Energy transition in Africa: The role of human capital, financial development, economic development, and carbon emissions. Environmental Science & Policy, 146 (May), 24–36. https://doi.org/10.1016/j.envsci.2023.04.021
   Google Scholar
• Xie, Q., Adebayo, T. S., Irfan, M., & Altuntaş, M. (2022). Race to environmental sustainability: Can renewable energy consumption and technological innovation sustain the strides for China? Renewable Energy, 197 (May), 320–330. https://doi.org/10.1016/j.renene.2022.07.138
   Google Scholar
• Yang, Y., Yang, X., & Tang, D. (2023). The dynamic relationship between regional corruption and carbon emissions in China. Clean Technologies and Environmental Policy, 25(1), 223–236. https://doi.org/10.1007/s10098-020-01965-1
   PubMedGoogle Scholar
• Zakaria, M., & Bibi, S. (2019). Financial development and environment in South Asia: The role of institutional quality. Environmental Science and Pollution Research International, 26(8), 7926–7937. https://doi.org/10.1007/s11356-019-04284-1
   PubMed Web of Science ®Google Scholar
• Zang, X., Adebayo, T. S., Oladipupo, S. D., & Kirikkaleli, D. (2023). Asymmetric impact of renewable energy consumption and technological innovation on environmental degradation: designing an SDG framework for developed economy. Environmental Technology, 44(6), 774–791. https://doi.org/10.1080/09593330.2021.1983027
   PubMed Web of Science ®Google Scholar
• Zhang, Z., Bashir, T., Song, J., Aziz, S., Yahya, G., Bashir, S., & Zamir, A. (2022). The effects of Environmental Kuznets Curve toward environmental pollution, energy consumption on sustainable economic growth through moderate role of technological innovation. Environmental Science and Pollution Research, 29(1), 405–416. https://doi.org/10.1007/s11356-021-16956-y
   PubMed Web of Science ®Google Scholar
• Zhao, S., Hafeez, M., & Faisal, C. M. N. (2022). Does ICT diffusion lead to energy efficiency and environmental sustainability in emerging Asian economies? Environmental Science and Pollution Research International, 29(8), 12198–12207. https://doi.org/10.1007/s11356-021-16560-0
   PubMed Web of Science ®Google Scholar