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Key Factors and Recommendations for Adopting Renewable Energy Systems by Families and Firms

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  • Chiung-Wen Hsu

    (Graduate Institute of Management of Technology, Feng Chia University, Taiwan)

Abstract

The photovoltaic (PV) power system is currently the most commonly applied renewable energy technology. Some nations have enforced government policies supporting the use of these systems. Effective policies must reflect the knowledge of factors driving installation of PV power generating systems. This study analyzes factors involved in the adoption of these systems by businesses and families. The fuzzy analytic hierarchy process was used to analyze data obtained from questionnaires filled out by firm executives. The questionnaires were administered to 10 businesses and 10 families that had adopted a PV power generating system. The results indicate that key factors differ significantly between businesses and families. Business users prioritized reduction in carbon emissions and social responsibility; family users prioritized system cost and installation subsidies. Thus, customized programs promoting adoption may be necessary for these two sets of users.

Suggested Citation

  • Chiung-Wen Hsu, 2014. "Key Factors and Recommendations for Adopting Renewable Energy Systems by Families and Firms," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 13(1), pages 39-58, June.
    • Handle: RePEc:ijb:journl:v:11:y:2014:i:1:p:39-58
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    References listed on IDEAS

    as
    1. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    2. Midttun, Atle & Gautesen, Kristian, 2007. "Feed in or certificates, competition or complementarity? Combining a static efficiency and a dynamic innovation perspective on the greening of the energy industry," Energy Policy, Elsevier, vol. 35(3), pages 1419-1422, March.
    3. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    4. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    5. Faiers, Adam & Neame, Charles, 2006. "Consumer attitudes towards domestic solar power systems," Energy Policy, Elsevier, vol. 34(14), pages 1797-1806, September.
    6. Dusonchet, Luigi & Telaretti, Enrico, 2010. "Economic analysis of different supporting policies for the production of electrical energy by solar photovoltaics in eastern European Union countries," Energy Policy, Elsevier, vol. 38(8), pages 4011-4020, August.
    7. Cesta, John R. & Decker, Patrick G., 1978. "Speeding solar energy commercialization: A Delphi research of marketplace factors," Journal of Business Research, Elsevier, vol. 6(4), pages 311-328, December.
    8. Dusonchet, Luigi & Telaretti, Enrico, 2010. "Economic analysis of different supporting policies for the production of electrical energy by solar photovoltaics in western European Union countries," Energy Policy, Elsevier, vol. 38(7), pages 3297-3308, July.
    9. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    10. Peter, Raja & Dickie, Laurence & Peter, Vasanthi M., 2006. "Adoption of photovoltaic power supply systems: A study of key determinants in India," Renewable Energy, Elsevier, vol. 31(14), pages 2272-2283.
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    More about this item

    Keywords

    store attributes; customer perception; scale development; organized retail;
    All these keywords.

    JEL classification:

    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

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