Assessing the Challenges to Leverage Carbon Markets for Renewable Energy in Developing Countries: A Multi-Criteria Decision-Making Approach

Authors

DOI:

https://doi.org/10.31181/sems21202412s

Keywords:

Carbon Markets, Renewable Energy, Challenge, Interval-Valued Spherical Fuzzy Sets, Stepwise Weight Assessment Ratio Analysis, Developing Countries

Abstract

Harnessing carbon markets for renewable energy involves evaluating various factors carefully. To address this, a multi-criteria approach is employed for its flexibility and supplementary tools. This study assesses five challenges of leveraging carbon markets for renewable energy in Africa. The stepwise weight assessment ratio analysis (SWARA) method is applied in an interval-valued spherical fuzzy environment (IVSF) to facilitate group decision-making. The study emphasizes institutional capacity shortfalls and regulatory framework gaps as the most significant obstacles to harnessing carbon markets for renewable energy.  The research findings guide policymakers in formulating effective strategies to address these challenges.

References

Atedhor, G. O. (2023). Greenhouse gases emissions and their reduction strategies: perspectives of Africa's largest economy. Scientific African, 20, e01705. https://doi.org/10.1016/j.sciaf.2023.e01705.

Ulpiani, G., Rebolledo, E., Vetters, N., Florio, P., & Bertoldi, P. (2023). Funding and financing the zero emissions journey: urban visions from the 100 Climate-Neutral and Smart Cities Mission. Humanities and Social Sciences Communications, 10(1), 1-14. https://doi.org/10.1057/s41599-023-02055-5.

Pagop, S. C., & Savard, L. (2024). Voluntary Carbon Markets in Africa: A Deep Dive Into Opportunities and Challenges. Research papers & Policy papers.

Hailu, T. (2024). Empowering Africa: Overcoming Challenges to Harness Carbon Markets for Renewable Energy. Accessed on https://www.powerforall.org/news-media/articles/empowering-africa-overcoming-challenges-harness-carbon-markets-renewable-energy.

Bedair, H., Alghariani, M. S., Omar, E., Anibaba, Q. A., Remon, M., Bornman, C., Kiboi, S. K., Rady, H. A., Salifu, A.-M. A., & Ghosh, S. (2023). Global warming status in the African continent: sources, challenges, policies, and future direction. International Journal of Environmental Research, 17(3), 45. https://doi.org/10.1007/s41742-023-00534-w.

Lo, A. Y. (2016). Challenges to the development of carbon markets in China. Climate Policy, 16(1), 109-124. https://doi.org/10.1080/14693062.2014.991907.

Probst, B., Toetzke, M., Kontoleon, A., Diaz Anadon, L., & Hoffmann, V. H. (2023). Systematic review of the actual emissions reductions of carbon offset projects across all major sectors. https://doi.org/10.21203/rs.3.rs-3149652/v1.

Zhou, K., & Li, Y. (2019). Carbon finance and carbon market in China: Progress and challenges. Journal of Cleaner Production, 214, 536-549. https://doi.org/10.1016/j.jclepro.2018.12.298.

Sun, D., Sun, J., Zhang, X., Yan, Q., Wei, Q., & Zhou, Y. (2016). Carbon markets in China: Development and challenges. Emerging Markets Finance and Trade, 52(6), 1361-1371. https://doi.org/10.1080/1540496X.2016.1152811.

Cheffo, A. (2019). Carbon Trading Opportunities and Challenges in Africa.

Feindt, S., Kornek, U., Labeaga, J. M., Sterner, T., & Ward, H. (2021). Understanding regressivity: Challenges and opportunities of European carbon pricing. Energy Economics, 103, 105550. https://doi.org/10.1016/j.eneco.2021.105550.

Shi, Y., Paramati, S. R., & Ren, X. (2019). The growth of carbon markets in Asia: The potential challenges for future development.

Görçün, Ö. F., Aytekin, A., Korucuk, S., & Tirkolaee, E. B. (2023). Evaluating and selecting sustainable logistics service providers for medical waste disposal treatment in the healthcare industry. Journal of Cleaner Production, 408, 137194. https://doi.org/10.1016/j.jclepro.2023.137194.

Ayyildiz, E., Erdogan, M., & Gul, M. (2024). A comprehensive risk assessment framework for occupational health and safety in pharmaceutical warehouses using Pythagorean fuzzy Bayesian networks. Engineering Applications of Artificial Intelligence, 135, 108763. https://doi.org/10.1016/j.engappai.2024.108763.

Moslem, S. (2024). A Novel Parsimonious Spherical Fuzzy Analytic Hierarchy Process for Sustainable Urban Transport Solutions. Engineering Applications of Artificial Intelligence, 128, 107447. https://doi.org/10.1016/j.engappai.2023.107447.

Badi, I., & Abdulshahid, A. (2023). Unlocking economic opportunities: Libya as a maritime gateway for landlocked African countries. African Transport Studies, 1, 100004. https://doi.org/10.1016/j.aftran.2024.100004.

Bouraima, M. B., Qiu, Y., Yusupov, B., & Ndjegwes, C. M. (2020). A study on the development strategy of the railway transportation system in the West African Economic and Monetary Union (WAEMU) based on the SWOT/AHP technique. Scientific African, 8, e00388. https://doi.org/10.1016/j.sciaf.2020.e00388.

Bouraima, M. B., Qiu, Y., Stević, Ž., & Simić, V. (2022). Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model. Socio-Economic Planning Sciences, 101475. https://doi.org/10.1016/j.seps.2022.101475.

Moslem, S. (2023). A Novel Parsimonious Best Worst Method for Evaluating Travel Mode Choice. IEEE Access, 11, 16768-16773. https://doi.org/10.1109/ACCESS.2023.3242120.

Badi, I., & Abdulshahed, A. (2019). Ranking the Libyan airlines by using full consistency method (FUCOM) and analytical hierarchy process (AHP). Operational Research in Engineering Sciences: Theory and Applications, 2(1), 1-14. https://doi.org/10.31181/oresta1901001b.

Gul, M., & Yucesan, M. (2021). Hospital preparedness assessment against COVID-19 pandemic: a case study in Turkish tertiary healthcare services. Mathematical Problems in Engineering, 2021. https://doi.org/10.1155/2021/2931219.

Bouraima, M. B., Oyaro, J., Ayyildiz, E., Erdogan, M., & Maraka, N. K. (2023). An integrated decision support model for effective institutional coordination framework in planning for public transportation. Soft Computing. https://doi.org/10.1007/s00500-023-09425-w.

Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243-258. https://doi.org/10.3846/jbem.2010.12.

Zhang, J., Hassan, K., Wu, Z., & Gasbarro, D. (2022). Does corporate social responsibility affect risk spillovers between the carbon emissions trading market and the stock market? Journal of Cleaner Production, 362, 132330. https://doi.org/10.1016/j.jclepro.2022.132330.

Song, Y., Liu, T., Ye, B., & Li, Y. (2020). Linking carbon market and electricity market for promoting the grid parity of photovoltaic electricity in China. Energy, 211, 118924. https://doi.org/10.1016/j.energy.2020.118924.

He, Y., & Song, W. (2022). Analysis of the impact of carbon trading policies on carbon emission and carbon emission efficiency. Sustainability, 14(16), 10216. https://doi.org/10.3390/su141610216.

Lin, B., & Huang, C. (2022). Analysis of emission reduction effects of carbon trading: Market mechanism or government intervention? Sustainable Production and Consumption, 33, 28-37. https://doi.org/10.1016/j.spc.2022.06.016.

Li, Z.-P., Yang, L., Zhou, Y.-N., Zhao, K., & Yuan, X.-L. (2020). Scenario simulation of the EU carbon price and its enlightenment to China. Science of The Total Environment, 723, 137982. https://doi.org/10.1016/j.scitotenv.2020.137982.

Wang, D., Sun, Y., & Wang, Y. (2024). Comparing the EU and Chinese carbon trading market operations and their spillover effects. Journal of Environmental Management, 351, 119795. https://doi.org/10.1016/j.jenvman.2023.119795.

Hou, J., Shi, C., Fan, G., & Xu, H. (2024). Research on the impact and intermediary effect of carbon emission trading policy on carbon emission efficiency in China. Atmospheric Pollution Research, 15(4), 102045. https://doi.org/10.1016/j.apr.2024.102045.

He, L., He, H., Xia, Y., Chen, L., & Zhong, Z. (2023). Has China's carbon market stress released? Measurement and comparison of national and pilot carbon markets' stress. Environmental Science and Pollution Research, 30(28), 72741-72755. https://doi.org/10.1007/s11356-023-27539-4.

Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, 106231. https://doi.org/10.1016/j.cie.2019.106231.

Bouraima, M. B., Stević, Ž., Tanackov, I., & Qiu, Y. (2021). Assessing the performance of Sub-Saharan African (SSA) railways based on an integrated Entropy-MARCOS approach. Operational Research in Engineering Sciences: Theory and Applications, 4(2), 13-35. https://doi.org/10.31181/oresta20402013b.

Simic, V., Dabić-Miletić, S., Babaee Tirkolaee, E., Stević, Ž., Ala, A., & Amirteimoori, A. (2023). Neutrosophic LOPCOW-ARAS Model for Prioritizing Industry 4.0-based Material Handling Technologies in Smart and Sustainable Warehouse Management Systems. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2023.110400.

Zhang, F., Fang, H., & Song, W. (2019). Carbon market maturity analysis with an integrated multi-criteria decision making method: A case study of EU and China. Journal of Cleaner Production, 241, 118296. https://doi.org/10.1016/j.jclepro.2019.118296.

Wu, S., & Niu, R. (2024). Development of carbon finance in China based on the hybrid MCDM method. Humanities and Social Sciences Communications, 11(1), 1-11. https://doi.org/10.1057/s41599-023-02558-1.

Nguyen, S. (2018). Development of an MCDM framework to facilitate low carbon shipping technology application. The Asian Journal of Shipping and Logistics, 34(4), 317-327. https://doi.org/10.1016/j.ajsl.2018.12.005.

Mishra, A. R., Mardani, A., Rani, P., Kamyab, H., & Alrasheedi, M. (2021). A new intuitionistic fuzzy combinative distance-based assessment framework to assess low-carbon sustainable suppliers in the maritime sector. Energy, 237, 121500. https://doi.org/10.1016/j.energy.2021.121500.

Li, C., Solangi, Y. A., & Ali, S. (2023). Evaluating the factors of green finance to achieve carbon peak and carbon neutrality targets in China: A delphi and fuzzy AHP approach. Sustainability, 15(3), 2721. https://doi.org/10.3390/su15032721.

Dinçer, H., Eti, S., Yüksel, S., Özdemir, S., Yílmaz, A. E., & Ergün, E. (2023). Integrating data mining and fuzzy decision-making techniques for analyzing the key minimizing factors of carbon emissions. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/JIFS-232303.

Krishankumar, R., Pamucar, D., Deveci, M., & Ravichandran, K. S. (2021). Prioritization of zero-carbon measures for sustainable urban mobility using integrated double hierarchy decision framework and EDAS approach. Science of The Total Environment, 797, 149068. https://doi.org/10.1016/j.scitotenv.2021.149068.

Mo, L., & Lu, X. (2016). Barriers and Options for Carbon Market Integration. Investing on Low-Carbon Energy Systems: Implications for Regional Economic Cooperation, 391-434. https://doi.org/10.1007/978-981-10-0761-3_14.

Waziri, J. (2024). Africa's carbon market ambitions face regulatory hurdles. Accessed on https://www.thecitizen.co.tz/tanzania/oped/africa-s-carbon-market-ambitions-face-regulatory-hurdles-4647438.

Published

2024-09-27

How to Cite

Qian, S., Qiu, Y., Bouraima, M. B., Badi, I., & Chusi, T. N. (2024). Assessing the Challenges to Leverage Carbon Markets for Renewable Energy in Developing Countries: A Multi-Criteria Decision-Making Approach. Spectrum of Engineering and Management Sciences, 2(1), 151-160. https://doi.org/10.31181/sems21202412s