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Performance evaluation of Chinese photovoltaic companies with the input-oriented dynamic SBM model

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  • Li, Nan
  • Liu, Cengceng
  • Zha, Donglan

Abstract

In Chinese photovoltaic (PV) industry, business groups and overseas listing with respect to specialized operation and domestic listing became two prevalent management practices. The previous studies mainly focus on the impact of business groups and overseas listing on the performance of the firms. However, they neglect the performance comparison of different business models or listing markets. In this paper, we formulate an input-orientated dynamic SBM model, which emphasizes the excesses in input and carry-over resources and enhances the accuracy of the evaluation, to measure the operational efficiency of Chinese PV producers and further explore the impact of business models as well as listing markets on the performance of PV companies. Some managerial findings are concluded in the end and can be referred to by the existing and future PV investors.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:89:y:2016:i:c:p:489-497
    DOI: 10.1016/j.renene.2015.12.028
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    3. Jing Yang & Changhui Yang & Xiaojia Wang & Manli Cheng & Jingjing Shang, 2020. "Efficiency Measurement and Factor Analysis of China’s Solar Photovoltaic Power Generation Considering Regional Differences Based on a FAHP–DEA Model," Energies, MDPI, vol. 13(8), pages 1-26, April.
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    5. Zhou, Xiaoyang & Chen, Hao & Chai, Jian & Wang, Shouyang & Lev, Benjamin, 2020. "Performance evaluation and prediction of the integrated circuit industry in China: A hybrid method," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    6. Li, Jiaxin & Wang, Zihan & Cheng, Xin & Shuai, Jing & Shuai, Chuanmin & Liu, Jing, 2020. "Has solar PV achieved the national poverty alleviation goals? Empirical evidence from the performances of 52 villages in rural China," Energy, Elsevier, vol. 201(C).
    7. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    8. Wang, Zhaohua & Li, Yi & Wang, Ke & Huang, Zhimin, 2017. "Environment-adjusted operational performance evaluation of solar photovoltaic power plants: A three stage efficiency analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1153-1162.
    9. Li, Jiaxin & Peng, Jiachao & Shuai, Chuanmin & Wang, Zihan & Huang, Fubin & Khayyam, Muhammad, 2022. "Does the solar PV program enhance the social empowerment of China's rural poor?," Energy, Elsevier, vol. 253(C).
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