Presenting a comprehensive risk management model for investing in renewable energy: with thematic analysis approach

Document Type : Original Article

Authors
1 PhD student of financial engineering, Islamic Azad University, Firuzkoh branch.
2 Assistant Professor, Department of Financial Management, North Tehran Branch, Islamic Azad University, North Tehran, Iran
3 Associate Professor, Department of Mathematics, Firuzkoh Branch, Islamic Azad University, Firozkoh, Iran
4 Assistant Professor of Accounting Department, Firuzkoh Branch, Islamic Azad University, Firozkoh, Iran.
10.22034/jik.2025.78040.4620
Abstract
Investing in renewable energy, like any other investment, is associated with risks that in order to ensure proper investment return, it is necessary to first identify all types of risks and perform a detailed analysis on them; Therefore, the present study presents a comprehensive risk management model for investing in renewable energy: with thematic analysis approach. This study is considered qualitative research in terms of exploratory methodology and in terms of method. Because due to the lack of a coherent framework regarding comprehensive risk management for investing in renewable energy, through thematic analysis, it is used to identify the themes of the study by analyzing previous researches and interviewing experts. The statistical population of the research included 14 experts and university professors with professional experience in the field of capital market and members of the risk committee of companies in 1403, who were selected based on the purposeful sampling method with the snowball approach. The results of this research show 2 overarching themes (structural risk management and institutional risk management), 8 organizing themes (strategic risks, industry-related risks, internal environment risks, operational risks, technological and technical risks, political and legal risks, environmental risks and economic risks) and 33 basic themes. The findings of this research can have important policy implications for policy makers. The economic policymaker, especially the capital market policymaker, should note that any changes in the comprehensive risk for investing in renewable energy, especially large changes in it, can be a stimulus for the formation of investment behaviors in such projects in the capital market.

  • سمیعی‌نسب، مصطفی. (1403). راهبردهای تأمین مالی انرژی‌های تجدیدپذیر کشور در راستای قانون رفع موانع تولیدماهنامه علمی «امنیت اقتصادی12(1). 4-14.
  • شیخزاده، محمد، بنی اسد، رضا(1399).تحلیل مضمون: مفاهیم، رویکردها و کاربردها، تهران: انتشارات لوگوس.
  • عابدی جعفری، حسن؛ تسلیمی، محمد سعید؛ فقیهی، ابوالحسن؛ شیخزاده، محمد(1390).تحلیل مضمون و شبکه مضامین: روشی ساده و کارآمد برای تبیین الگوهای موجود در داده‌های کیفی اندیشه مدیریت راهبردی ،2(5).151-198.
  • لطیفی، سعید(1401). تاثیر ریسک سرمایه‌گذاری در انرژی های تجدید پذیر و محیط زیست در ایران،پنجمین کنفرانس بین المللی مطالعات بین رشته ای در مدیریت و مهندسی،تهران
  • موسوی، میرحسین، خوشکلام خسروشاهی، موسی احمدی، راضیه. (1401). امکان‌پذیری تأمین مالی پروژه‌های مربوط به انرژی‌های تجدیدپذیر از طریق مشارکت عمومی – خصوصی در اقتصاد ایران. پژوهش های برنامه و توسعه3(1)، 7-41.
  • یگانگی، سید کامران و قاسم لو، محمد رضا(1401).مدیریت سرمایه‌گذاری بر روی انرژی های تجدید پذیر، فصلنامه علمی نگرشهای نوین بازرگانی،3(2).54-61.

 

  • Abba, Z. Y. I., Balta-Ozkan, N., & Hart, P. (2022). A holistic risk management framework for renewable energy investments. Renewable and Sustainable Energy Reviews, 8(11).162-186.
  • Abbas, J., Wang, L., Belgacem, S. B., Pawar, P. S., Najam, H., & Abbas, J. (2023). Investment in renewable energy and electricity output: Role of green finance, environmental tax, and geopolitical risk: Empirical evidence from China. Energy4(11).269-283.
  • Ainou, F. Z., Ali, M., & Sadiq, M. (2023). Green energy security assessment in Morocco: green finance as a step toward sustainable energy transition. Environmental Science and Pollution Research, 30(22), 61411-61429.
  • Attride-Stirling، J. (2001). Thematic networks: An analytic tool for qualitative research. Qualitative research, 1(3): 385-405.
  • Berghorn, G. H., & Matt Syal, M. G. (2016). Comprehensive Risk Assessment Framework and Model Development for Energy Performance Contracting Retrofits in Correctional Facilities. In Construction Research Congress 16(4). 2751-2761).‏
  • Braun, V., and V. Clarke. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2): 11-101.
  • Burns, N., and S. K, Grove. (2006). Understanding nursing research, building an evidence-based practice. 4th ed. Philadelphia: Saunders Co.12(5).101-125.
  • Canabarro, E. (2024). Model risk management in stress testing: The road up to here. Journal of Risk Management in Financial Institutions, 17(4), 370-382.‏
  • Cornwell, N., Bilson, C., Gepp, A., Stern, S., & Vanstone, B. J. (2023). The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors. Journal of the Operational Research Society, 74(1), 374-402.‏
  • Harjoni, H., Giovanni, J., & Zakiah, W. (2024). COSO enterprise risk management design in higher education academic administration services. Journal of Interest: Economics, Business, and Accounting Review,9(22). 18-28.‏
  • Ige, A. B., Kupa, E., & Ilori, O. (2024). Analyzing defense strategies against cyber risks in the energy sector: Enhancing the security of renewable energy sources. International Journal of Science and Research Archive, 12(1), 2978-2995.‏
  • Ilbahar، E., Kahraman, C., & Cebi, S. (2022). Risk assessment of renewable energy investments: A modified failure mode and effect analysis based on prospect theory and intuitionistic fuzzy AHP. Energy5(8),239-253.
  • Ke, Y., Liu, J., Meng, J., Fang, S., & Zhuang, S. (2022). Comprehensive evaluation for plan selection of urban integrated energy systems: A novel multi-criteria decision-making framework. Sustainable Cities and Society, 81(7).126-146.
  • Kou, G., Pamucar, D., Dinçer, H., & Yüksel, S. (2023). From risks to rewards: A comprehensive guide to sustainable investment decisions in renewable energy using a hybrid facial expression-based fuzzy decision-making approach. Applied Soft Computing, 142, 110365.
  • Kvale, S. (1996). Interviews: An Introduction to qualitative research interviewing. Thousand Oaks, CA: Sage.
  • Lin, C. Y., Chau, K. Y., Tran, T. K., Sadiq, M., Van, L., & Phan, T. T. H. (2022). Development of renewable energy resources by green finance, volatility and risk: empirical evidence from China. Renewable Energy, 4(201), 821-831.
  • Liu, X., Hu, Y., & Xiao, Y. (2017). Risk management for rural energy industry of Sichuan Province in China. Renewable and Sustainable Energy Reviews, 69(8), 1029-1044.‏
  • Lopes, A. (2010). Grounded theory method: an essential approach to analyse design. In The 9th European Conference on Research Methods in Business and Management: IE Business School Madrid, Spain: 24-25.
  • Mangla, S. K., Srivastava, P. R., Eachempati, P., & Tiwari, A. K. (2024). Exploring the impact of key performance factors on energy markets: From energy risk management perspectives. Energy Economics, 6(11).89-97.‏
  • Wing, L. C., & Jin, Z. (2014). Risk management methods applied to renewable and sustainable energy: a review. Journal of Electrical and Electronic Engineering, 13(2), 1-12.‏
  • Yüksel, S., Eti, S., Dinçer, H., & Gökalp, Y. (2024). Comprehensive risk analysis and decision-making model for hydroelectricity energy investments. Journal of Soft Computing and Decision Analytics, 2(1), 28-38.‏
  • Yuni, S., Yuniati, A., & Umbing, G. B. (2024). A COSO ERM integrated framework evaluation of it governance risk management. Journal of Interest: Economics, Business, and Accounting Review,11(48). 38-42.‏
  • Zeng, F., & Wu, H. (2024). Analysis of Chinese investment in renewable energy generation in Brazil. Frontiers in Energy Research, 12(5).185-193.
  • Zhang, D., Zhao, M., Wang, Y., Vigne, S. A., & Benkraiem, R. (2024). Technological innovation and its influence on energy risk management: Unpacking China’s energy consumption structure optimisation amidst climate change. Energy Economics, 15(52).131-153..‏
  • Zhang, S., Zhuang, Y., Liu, L., Zhang, L., & Du, J. (2019). Risk management optimization framework for the optimal deployment of carbon capture and storage system under uncertainty. Renewable and Sustainable Energy Reviews11(8).113-136.
  • Zhao, D., Chaudhry, M. O., Ayub, B., Waqas, M., & Ullah, I. (2024). Modeling the Nexus between geopolitical risk, oil price volatility and renewable energy investment; evidence from Chinese listed firms. Renewable Energy4(12).285-299.