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Towards Ecological Sustainability: Assessing Dynamic Total-Factor Ecology Efficiency in Africa

Author

Listed:
  • Nelson Amowine

    (Department of Public Administration and Law, Yibin University, No. 8, St. Luke, Wuliangye, Yibin 644000, China)

  • Huaizong Li

    (Department of Public Administration and Law, Yibin University, No. 8, St. Luke, Wuliangye, Yibin 644000, China)

  • Kofi Baah Boamah

    (Department of Business and Finance, University of Professional Studies, Accra 23321, Ghana)

  • Zhixiang Zhou

    (School of Economics, Hefei University of Technology, Hefei 230009, China)

Abstract

Ecological footprint (EF) and human development index (HDI) are two critical indicators for assessing sustainable development worldwide. Past studies in Africa have ignored dynamic sustainable total-factor ecological efficiency (DSTFEE) assessment. This present study proffers a novel dynamic sustainable total-factor ecological efficiency (DSTFEE) that comprehensively assesses the ecological efficiency among 44 sampled African economies from 2010 to 2016. Our study incorporates EF and HDI in the model. Second, the study evaluates regional DSTFEE heterogeneity efficiency as well as the technological gap efficiency in Africa. Further, projection analysis is done to offer a viable solution path to address the inefficient African countries. Third, the study investigates the determinants of ecological efficiency using the bootstrap truncation regression technique. The results from the implemented models are as follows: first, the DSTFEE for the 44 sampled African countries is very low (0.403), indicating enormous potential for improvement. Second, the heterogeneity of DSTFEE across the five Africa regional blocs is evident. The southern bloc had the highest efficiency score, followed by the northern, central, western, and eastern regions. The technology gap ratio also reveals a massive gap among the five Africa regional blocs. Third, the bootstrap truncation regression results established a U-shape nexus between growth and DSTFEE in Africa. REC and trade openness is positively corrected to DSTFEE for African countries. In contrast, financial development, foreign direct investment (FDI), and urbanization impede dynamic ecological efficiency in Africa. The study’s results equip African countries with adequate knowledge of their ecological efficiency situation and provide them a viable path to improve environmental efficiency, thereby boosting their ecological sustainability.

Suggested Citation

  • Nelson Amowine & Huaizong Li & Kofi Baah Boamah & Zhixiang Zhou, 2021. "Towards Ecological Sustainability: Assessing Dynamic Total-Factor Ecology Efficiency in Africa," IJERPH, MDPI, vol. 18(17), pages 1-23, September.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:17:p:9323-:d:628664
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    References listed on IDEAS

    as
    1. Shahbaz, Muhammad & Lean, Hooi Hooi, 2012. "Does financial development increase energy consumption? The role of industrialization and urbanization in Tunisia," Energy Policy, Elsevier, vol. 40(C), pages 473-479.
    2. Koch, Max & Buch-Hansen, Hubert & Fritz, Martin, 2017. "Shifting Priorities in Degrowth Research: An Argument for the Centrality of Human Needs," Ecological Economics, Elsevier, vol. 138(C), pages 74-81.
    3. Destek, Mehmet & Sinha, Avik, 2020. "Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries," MPRA Paper 104246, University Library of Munich, Germany, revised 2020.
    4. Eyup Dogan & Nigar Taspinar & Korhan K Gokmenoglu, 2019. "Determinants of ecological footprint in MINT countries," Energy & Environment, , vol. 30(6), pages 1065-1086, September.
    5. Tsutsui, Miki & Goto, Mika, 2009. "A multi-division efficiency evaluation of U.S. electric power companies using a weighted slacks-based measure," Socio-Economic Planning Sciences, Elsevier, vol. 43(3), pages 201-208, September.
    6. Farhani, Sahbi & Mrizak, Sana & Chaibi, Anissa & Rault, Christophe, 2014. "The environmental Kuznets curve and sustainability: A panel data analysis," Energy Policy, Elsevier, vol. 71(C), pages 189-198.
    7. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    8. Yuquing Xing & Charles Kolstad, 2002. "Do Lax Environmental Regulations Attract Foreign Investment?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 21(1), pages 1-22, January.
    9. Shujing Yue & Yang Yang & Jun Shao & Yuting Zhu, 2016. "International Comparison of Total Factor Ecology Efficiency: Focused on G20 from 1999–2013," Sustainability, MDPI, vol. 8(11), pages 1-13, November.
    10. Borozan, Djula, 2018. "Technical and total factor energy efficiency of European regions: A two-stage approach," Energy, Elsevier, vol. 152(C), pages 521-532.
    11. Humaira Yasmeen & Qingmei Tan & Hashim Zameer & Junlan Tan & Kishwar Nawaz, 2020. "Exploring the impact of technological innovation, environmental regulations and urbanization on ecological efficiency of China in the context of COP21," Post-Print hal-03558085, HAL.
    12. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Research on New and Traditional Energy Sources in OECD Countries," IJERPH, MDPI, vol. 16(7), pages 1-21, March.
    13. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    14. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    15. Lu, Weiwei & Su, Meirong & Zhang, Yan & Yang, Zhifeng & Chen, Bin & Liu, Gengyuan, 2014. "Assessment of energy security in China based on ecological network analysis: A perspective from the security of crude oil supply," Energy Policy, Elsevier, vol. 74(C), pages 406-413.
    16. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Economic growth and environmental efficiency: Evidence from US regions," Economics Letters, Elsevier, vol. 120(1), pages 48-52.
    17. da Silva, Patrícia Pereira & Cerqueira, Pedro André & Ogbe, Wojolomi, 2018. "Determinants of renewable energy growth in Sub-Saharan Africa: Evidence from panel ARDL," Energy, Elsevier, vol. 156(C), pages 45-54.
    18. Li, Lan-Bing & Hu, Jin-Li, 2012. "Ecological total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 46(C), pages 216-224.
    19. Eskeland, Gunnar S. & Harrison, Ann E., 2003. "Moving to greener pastures? Multinationals and the pollution haven hypothesis," Journal of Development Economics, Elsevier, vol. 70(1), pages 1-23, February.
    20. Halkos, George E. & Paizanos, Epameinondas Α., 2013. "The effect of government expenditure on the environment:An empirical investigation," Ecological Economics, Elsevier, vol. 91(C), pages 48-56.
    21. Nelson Amowine & Zhiqiang Ma & Mingxing Li & Zhixiang Zhou & Benjamin Azembila Asunka & James Amowine, 2019. "Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach," Energies, MDPI, vol. 12(20), pages 1-17, October.
    22. Shahid Ali & Eyup Dogan & Fuzhong Chen & Zeeshan Khan, 2021. "International trade and environmental performance in top ten‐emitters countries: The role of eco‐innovation and renewable energy consumption," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(2), pages 378-387, March.
    23. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    24. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    25. Zhang, Xing-Ping & Cheng, Xiao-Mei & Yuan, Jia-Hai & Gao, Xiao-Jun, 2011. "Total-factor energy efficiency in developing countries," Energy Policy, Elsevier, vol. 39(2), pages 644-650, February.
    26. Ouedraogo, Nadia S., 2017. "Africa energy future: Alternative scenarios and their implications for sustainable development strategies," Energy Policy, Elsevier, vol. 106(C), pages 457-471.
    27. Kasman, Adnan & Duman, Yavuz Selman, 2015. "CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: A panel data analysis," Economic Modelling, Elsevier, vol. 44(C), pages 97-103.
    28. Sahbi Farhani & Sana Mrizak & Anissa Chaibi & Christophe Rault, 2014. "The Environmental Kuznets Curve and Sustainability: A Panel Data Analysis," CESifo Working Paper Series 4787, CESifo.
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