ORIGINAL RESEARCH
Applying Stochastic Frontier Analysis to Measure
the Operating Efficiency of Solar Energy
Companies in China and Taiwan
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Center for General Education, Chihlee University of Technology, New Taipei City, Taiwan
Submission date: 2019-09-30
Final revision date: 2019-12-06
Acceptance date: 2019-12-10
Online publication date: 2020-03-27
Publication date: 2020-05-12
Corresponding author
Jih-Shong Wu
Chihlee University of Technology, No.313, Sec. 1, Wenhua Rd., Banqiao Dist., 22050, New Taipei City, Taiwan
Pol. J. Environ. Stud. 2020;29(5):3385-3393
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ABSTRACT
Climate change and the depletion of fossil fuels are the biggest challenges that humanity faces
today. Solar energy can be used to mitigate climate change and reduce the demand for fossil fuels.
Therefore, governments in different countries have actively developed the solar energy industry
as a renewable energy industry. Although China and Taiwan respectively occupy first and second place
in the current global output of solar energy products, they face serious pressure in the international
market. To measure the operating efficiency of solar energy companies in China and Taiwan, this study
combines the Shephard distance function and stochastic frontier analysis incorporating environmental
variables. The empirical results show that: (1) China has better labour efficiency, (2) Taiwan has better
operating cost efficiency, (3) both regions have extremely poor expenditure efficiency on R&D and the
R&D expenditure rate is low, (4) the larger a company’s size, the higher the labour efficiency and cost
efficiency, and (5) the prices of raw materials have a direct impact on operating costs. It is hoped that
the results of this research can provide recommendations for and promote changes in the operating and
management strategies of the solar energy industry, improving its operating efficiency.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
CITATIONS (5):
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Measuring Economic Development and Carbon Dioxide Emissions Inefficiency
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