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Investment scenarios and regional factors in the solar energy sector

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  • Panagiotis Liargovas
  • Nikolaos Apostolopoulos

Abstract

This paper examines the effects of regional factors related to macroeconomic, environmental and energy data in relation to regional investment attractiveness to the solar energy sector. It focuses on renewable energy expansion, as it is key to sustainable economy and global challenges. Applying an AHP method, the paper aims to determine the significance of some criteria with reference to the regional investment attractiveness of solar energy enterprises. The AHP method is applied to approach investments in the solar energy sector, by incorporating regional factors in decision-making. Ten investment scenarios are created and their scores are calculated based on regional factors. It is found that regions vary in terms of their investment attractiveness in the solar energy sector.

Suggested Citation

  • Panagiotis Liargovas & Nikolaos Apostolopoulos, 2016. "Investment scenarios and regional factors in the solar energy sector," Economics and Business Letters, Oviedo University Press, vol. 5(3), pages 95-104.
  • Handle: RePEc:ove:journl:aid:11141
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    File URL: https://reunido.uniovi.es/index.php/EBL/article/view/11141
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    1. Saaty, Thomas L. & Vargas, Luis G. & Dellmann, Klaus, 2003. "The allocation of intangible resources: the analytic hierarchy process and linear programming," Socio-Economic Planning Sciences, Elsevier, vol. 37(3), pages 169-184, September.
    2. Hamalainen, Raimo P. & Karjalainen, Risto, 1992. "Decision support for risk analysis in energy policy," European Journal of Operational Research, Elsevier, vol. 56(2), pages 172-183, January.
    3. Aragonés-Beltrán, Pablo & Chaparro-González, Fidel & Pastor-Ferrando, Juan-Pascual & Pla-Rubio, Andrea, 2014. "An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects," Energy, Elsevier, vol. 66(C), pages 222-238.
    4. Lee, Seong Kon & Mogi, Gento & Kim, Jong Wook, 2008. "The competitiveness of Korea as a developer of hydrogen energy technology: The AHP approach," Energy Policy, Elsevier, vol. 36(4), pages 1284-1291, April.
    5. Kazuyuki Motohashi, 1998. "Innovation Strategy And Business Performance Of Japanese Manufacturing Firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(1), pages 27-52.
    6. Grant Allan & Peter Mcgregor & Kim Swales, 2011. "The Importance of Revenue Sharing for the Local Economic Impacts of a Renewable Energy Project: A Social Accounting Matrix Approach," Regional Studies, Taylor & Francis Journals, vol. 45(9), pages 1171-1186, March.
    7. Grover S. Kearns, 2004. "A Multi-Objective, Multi-Criteria Approach for Evaluating IT Investments: Results from Two Case Studies," Information Resources Management Journal (IRMJ), IGI Global, vol. 17(1), pages 37-62, January.
    8. Wang, Ge & Huang, Samuel H. & Dismukes, John P., 2004. "Product-driven supply chain selection using integrated multi-criteria decision-making methodology," International Journal of Production Economics, Elsevier, vol. 91(1), pages 1-15, September.
    9. Nagesha, N. & Balachandra, P., 2006. "Barriers to energy efficiency in small industry clusters: Multi-criteria-based prioritization using the analytic hierarchy process," Energy, Elsevier, vol. 31(12), pages 1969-1983.
    10. Punia Sindhu, Sonal & Nehra, Vijay & Luthra, Sunil, 2016. "Recognition and prioritization of challenges in growth of solar energy using analytical hierarchy process: Indian outlook," Energy, Elsevier, vol. 100(C), pages 332-348.
    11. Afgan, Naim H. & Carvalho, Maria G., 2002. "Multi-criteria assessment of new and renewable energy power plants," Energy, Elsevier, vol. 27(8), pages 739-755.
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