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Multi-Faceted Analysis of Systematic Risk-Based Wind Energy Investment Decisions in E7 Economies Using Modified Hybrid Modeling with IT2 Fuzzy Sets

Author

Listed:
  • Dejun Qiu

    (Learning Achievement Certification Centre, Jilin Radio and TV University, Changchun 130022, China)

  • Hasan Dinçer

    (School of Business, Istanbul Medipol University, Kavacık South Campus, 34810 Istanbul, Turkey)

  • Serhat Yüksel

    (School of Business, Istanbul Medipol University, Kavacık South Campus, 34810 Istanbul, Turkey)

  • Gözde Gülseven Ubay

    (School of Business, Istanbul Medipol University, Kavacık South Campus, 34810 Istanbul, Turkey)

Abstract

This study aimed to analyze the systematic risks of wind energy investments. Within this framework, E7 countries are included in the scope of the examination. A large literature review was carried out and 12 different systematic risk factors that could exist in wind energy investments were identified. The analysis process of the study consisted of two different stages. First, the specified risk criteria were weighted with the help of the interval type 2 (IT2) fuzzy decision-making trial and evaluation laboratory (DEMATEL) method. Second, E7 countries were ranked according to the risk management effectiveness in wind energy investments. In this process, the IT2 fuzzy Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) approach was taken into consideration. The findings show that volatility in exchange rates and interest rates were the most important risks in wind energy investments. In addition, it was determined that China and Indonesia were the most successful countries in managing risks in wind energy investments. In contrast, India, Russia, and Turkey were determined to be the least successful. Additionally, the IT2 fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method was applied as a robustness check of the extended VIKOR method. It was concluded that the ranking results of the IT2 fuzzy TOPSIS method were similar to the results of the IT2 fuzzy VIKOR. It can be understood that the proposed ranking method was consistent with the comparative analysis results. From this point of view, it was observed that countries should take measures regarding their exchange rate and interest rate risks in order to increase the efficiency in wind energy investments. In this context, companies should first ensure that they do not have a foreign exchange short position in their balance sheets by conducting an effective financial analysis. In addition, it is important to use financial derivatives to minimize the exchange rate and interest rate risks. Using these results, it will be possible to manage this risk by taking the reverse position for the existing foreign currency and interest risk. In this way, it will be possible to increase the efficiency of wind energy investments, which will contribute to the social and economic development of each respective country.

Suggested Citation

  • Dejun Qiu & Hasan Dinçer & Serhat Yüksel & Gözde Gülseven Ubay, 2020. "Multi-Faceted Analysis of Systematic Risk-Based Wind Energy Investment Decisions in E7 Economies Using Modified Hybrid Modeling with IT2 Fuzzy Sets," Energies, MDPI, vol. 13(6), pages 1-25, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1423-:d:334065
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    References listed on IDEAS

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    1. D’Amico, Guglielmo & Petroni, Filippo & Prattico, Flavio, 2015. "Economic performance indicators of wind energy based on wind speed stochastic modeling," Applied Energy, Elsevier, vol. 154(C), pages 290-297.
    2. Hdidouan, Daniel & Staffell, Iain, 2017. "The impact of climate change on the levelised cost of wind energy," Renewable Energy, Elsevier, vol. 101(C), pages 575-592.
    3. Cleary, Brendan & Duffy, Aidan & Bach, Bjarne & Vitina, Aisma & O’Connor, Alan & Conlon, Michael, 2016. "Estimating the electricity prices, generation costs and CO2 emissions of large scale wind energy exports from Ireland to Great Britain," Energy Policy, Elsevier, vol. 91(C), pages 38-48.
    4. Elsner, Paul & Suarez, Suzette, 2019. "Renewable energy from the high seas: Geo-spatial modelling of resource potential and legal implications for developing offshore wind projects beyond the national jurisdiction of coastal States," Energy Policy, Elsevier, vol. 128(C), pages 919-929.
    5. Guidolin, Mariangela & Guseo, Renato, 2016. "The German energy transition: Modeling competition and substitution between nuclear power and Renewable Energy Technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1498-1504.
    6. Li, Yi & Wu, Xiao-Peng & Li, Qiu-Sheng & Tee, Kong Fah, 2018. "Assessment of onshore wind energy potential under different geographical climate conditions in China," Energy, Elsevier, vol. 152(C), pages 498-511.
    7. Huesca-Pérez, María Elena & Sheinbaum-Pardo, Claudia & Köppel, Johann, 2016. "Social implications of siting wind energy in a disadvantaged region – The case of the Isthmus of Tehuantepec, Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 952-965.
    8. Hasan Dinçer & Serhat Yüksel & Renata Korsakienė & Agota Giedrė Raišienė & Yuriy Bilan, 2019. "IT2 Hybrid Decision-Making Approach to Performance Measurement of Internationalized Firms in the Baltic States," Sustainability, MDPI, vol. 11(1), pages 1-22, January.
    9. Lundberg, Liv, 2019. "Auctions for all? Reviewing the German wind power auctions in 2017," Energy Policy, Elsevier, vol. 128(C), pages 449-458.
    10. Amir Hossein Salimi & Amir Noori & Hossein Bonakdari & Jafar Masoompour Samakosh & Ehsan Sharifi & Mohammadreza Hassanvand & Baharam Gharabaghi & Mehdi Agharazi, 2020. "Exploring the Role of Advertising Types on Improving the Water Consumption Behavior: An Application of Integrated Fuzzy AHP and Fuzzy VIKOR Method," Sustainability, MDPI, vol. 12(3), pages 1-33, February.
    11. Cavallaro, Fausto & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Mardani, Abbas, 2019. "Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 258-270.
    12. Pueyo, Ana, 2018. "What constrains renewable energy investment in Sub-Saharan Africa? A comparison of Kenya and Ghana," World Development, Elsevier, vol. 109(C), pages 85-100.
    13. Kucukali, Serhat, 2016. "Risk scorecard concept in wind energy projects: An integrated approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 975-987.
    14. Thapar, Sapan & Sharma, Seema & Verma, Ashu, 2018. "Key determinants of wind energy growth in India: Analysis of policy and non-policy factors," Energy Policy, Elsevier, vol. 122(C), pages 622-638.
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