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An Integrated Performance Evaluation Model for the Photovoltaics Industry

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  • Amy H. I. Lee

    (Department of Technology Management, Chung Hua University, Hsinchu 300, Taiwan
    Ph.D. Program of Technology Management-Industrial Management, Chung Hua University, Hsinchu 300, Taiwan
    Department of Industrial Management, Chung Hua University, Hsinchu 300, Taiwan)

  • Chun Yu Lin

    (Ph.D. Program of Technology Management-Industrial Management, Chung Hua University, Hsinchu 300, Taiwan)

  • He-Yau Kang

    (Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411, Taiwan)

  • Wen Hsin Lee

    (Department of Industrial Management, Chung Hua University, Hsinchu 300, Taiwan)

Abstract

Global warming is causing damaging changes to climate around the World. For environmental protection and natural resource scarcity, alternative forms of energy, such as wind energy, fire energy, hydropower energy, geothermal energy, solar energy, biomass energy, ocean power and natural gas, are gaining attention as means of meeting global energy demands. Due to Japan’s nuclear plant disaster in March 2011, people are demanding a good alternative energy resource, which not only produces zero or little air pollutants and greenhouse gases, but also with a high safety level to protect the World. Solar energy, which depends on an infinite resource, the sun, is one of the most promising renewable energy sources from the perspective of environmental sustainability. Currently, the manufacturing cost of solar cells is still very high, and the power conversion efficiency is low. Therefore, photovoltaics (PV) firms must continue to invest in research and development, commit to product differentiation, achieve economies of scale, and consider the possibility of vertical integration, in order to strengthen their competitiveness and to acquire the maximum benefit from the PV market. This research proposes a performance evaluation model by integrating analytic hierarchy process (AHP) and data envelopment analysis (DEA) to assess the current business performance of PV firms. AHP is applied to obtain experts’ opinions on the importance of the factors, and DEA is used to determine which firms are efficient. A case study is performed on the crystalline silicon PV firms in Taiwan. The findings shall help the firms determine their strengths and weaknesses and provide directions for future improvements in business operations.

Suggested Citation

  • Amy H. I. Lee & Chun Yu Lin & He-Yau Kang & Wen Hsin Lee, 2012. "An Integrated Performance Evaluation Model for the Photovoltaics Industry," Energies, MDPI, vol. 5(4), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:4:p:1271-1291:d:17374
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    References listed on IDEAS

    as
    1. Tseng, Fang-Mei & Chiu, Yu-Jing & Chen, Ja-Shen, 2009. "Measuring business performance in the high-tech manufacturing industry: A case study of Taiwan's large-sized TFT-LCD panel companies," Omega, Elsevier, vol. 37(3), pages 686-697, June.
    2. Siriopoulos, Costas & Tziogkidis, Panagiotis, 2010. "How do Greek banking institutions react after significant events?--A DEA approach," Omega, Elsevier, vol. 38(5), pages 294-308, October.
    3. B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 733-735.
    4. Fthenakis, Vasilis & Mason, James E. & Zweibel, Ken, 2009. "The technical, geographical, and economic feasibility for solar energy to supply the energy needs of the US," Energy Policy, Elsevier, vol. 37(2), pages 387-399, February.
    5. Avkiran, Necmi K., 2011. "Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks," Omega, Elsevier, vol. 39(3), pages 323-334, June.
    6. Liu, Fuh-Hwa Franklin & Hai, Hui Lin, 2005. "The voting analytic hierarchy process method for selecting supplier," International Journal of Production Economics, Elsevier, vol. 97(3), pages 308-317, September.
    7. Chen, Hsing Hung & Kang, He-Yau & Lee, Amy H.I., 2010. "Strategic selection of suitable projects for hybrid solar-wind power generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 413-421, January.
    8. Wang, Ying-Ming & Chin, Kwai-Sang, 2009. "A new data envelopment analysis method for priority determination and group decision making in the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 195(1), pages 239-250, May.
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Manfred Lenzen, 2010. "Current State of Development of Electricity-Generating Technologies: A Literature Review," Energies, MDPI, vol. 3(3), pages 1-130, March.
    11. R. Allen & A. Athanassopoulos & R.G. Dyson & E. Thanassoulis, 1997. "Weights restrictions and value judgements in Data Envelopment Analysis: Evolution, development and future directions," Annals of Operations Research, Springer, vol. 73(0), pages 13-34, October.
    12. Ramanathan, Ramakrishnan & Ramanathan, Usha, 2010. "A qualitative perspective to deriving weights from pairwise comparison matrices," Omega, Elsevier, vol. 38(3-4), pages 228-232, June.
    13. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    14. Korpela, Jukka & Lehmusvaara, Antti & Nisonen, Jukka, 2007. "Warehouse operator selection by combining AHP and DEA methodologies," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 135-142, July.
    15. Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
    16. Sueyoshi, Toshiyuki & Shang, Jennifer & Chiang, Wen-Chyuan, 2009. "A decision support framework for internal audit prioritization in a rental car company: A combined use between DEA and AHP," European Journal of Operational Research, Elsevier, vol. 199(1), pages 219-231, November.
    17. Takamura, Yoshiharu & Tone, Kaoru, 2003. "A comparative site evaluation study for relocating Japanese government agencies out of Tokyo," Socio-Economic Planning Sciences, Elsevier, vol. 37(2), pages 85-102, June.
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    6. Wenyi Liu & Linzhi Liu & Gang Xu & Feifei Liang & Yongping Yang & Weide Zhang & Ying Wu, 2014. "A Novel Hybrid-Fuel Storage System of Compressed Air Energy for China," Energies, MDPI, vol. 7(8), pages 1-23, August.
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    8. Ma, Zhixiao & Xue, Bing & Geng, Yong & Ren, Wanxia & Fujita, Tsuyoshi & Zhang, Zilong & Puppim de Oliveira, Jose A. & Jacques, David A. & Xi, Fengming, 2013. "Co-benefits analysis on climate change and environmental effects of wind-power: A case study from Xinjiang, China," Renewable Energy, Elsevier, vol. 57(C), pages 35-42.
    9. Talat S. Genc & Stephen Kosempel, 2023. "Energy Transition and the Economy: A Review Article," Energies, MDPI, vol. 16(7), pages 1-26, March.
    10. Uyan, Mevlut, 2013. "GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 11-17.
    11. Gigović, Ljubomir & Pamučar, Dragan & Božanić, Darko & Ljubojević, Srđan, 2017. "Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia," Renewable Energy, Elsevier, vol. 103(C), pages 501-521.
    12. Min-Ren Yan & Kuo-Ming Chien, 2013. "Evaluating the Economic Performance of High-Technology Industry and Energy Efficiency: A Case Study of Science Parks in Taiwan," Energies, MDPI, vol. 6(2), pages 1-15, February.
    13. Jangid, Jayant & Bera, Apurba Kumar & Joseph, Manoj & Singh, Vishal & Singh, T.P. & Pradhan, B.K. & Das, Sandipan, 2016. "Potential zones identification for harvesting wind energy resources in desert region of India – A multi criteria evaluation approach using remote sensing and GIS," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1-10.
    14. Antonella Basso & Stefania Funari, 2020. "A three-system approach that integrates DEA, BSC, and AHP for museum evaluation," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 413-441, December.
    15. Huiru Zhao & Nana Li, 2016. "Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods," Sustainability, MDPI, vol. 8(2), pages 1-22, January.
    16. Tsung-Yung Chiu & Shang-Lien Lo & Yung-Yin Tsai, 2012. "Establishing an Integration-Energy-Practice Model for Improving Energy Performance Indicators in ISO 50001 Energy Management Systems," Energies, MDPI, vol. 5(12), pages 1-16, December.
    17. Li, Nan & Liu, Cengceng & Zha, Donglan, 2016. "Performance evaluation of Chinese photovoltaic companies with the input-oriented dynamic SBM model," Renewable Energy, Elsevier, vol. 89(C), pages 489-497.

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