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Applying Stochastic Frontier Analysis to Measure the Operating Efficiency of Solar Energy Companies in China and Taiwan

机译:应用随机边界分析来衡量中国和台湾太阳能公司的运营效率

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摘要

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.
机译:气候变化和化石燃料的枯竭是人类今天面临的最大挑战。太阳能可用于减轻气候变化,减少对化石燃料的需求。因此,不同国家的政府已积极开发太阳能产业作为可再生能源产业。虽然中国和台湾分别占据了目前全球太阳能产品产出的第一和第二位,但它们在国际市场上面临严重的压力。为了衡量中国和台湾太阳能公司的运营效率,本研究结合了震动距离功能和随机前沿分析结合环境变量。经验结果表明:(1)中国具有更好的劳动力效率,(2)台湾有更好的运营成本效率,(3)这两个地区的支出效率极差,研发支出率低,(4)较大公司规模越高,劳动力效率和成本效率越高,(5)原材料价格直接影响运营成本。希望本研究的结果可以为太阳能行业的运营和管理策略提供建议,提高其运营效率。

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