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China's Energy Efficiency: Re-estimation Incorporating Human Capital and the Analysis of Its Distribution Dynamics

机译:中国的能源效率:重新估算纳入人力资本和分析动态分析

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Energy conservation and carbon emission reduction have recently been important issues for China's low-carbon development. Almost all previous studies on energy efficiency evaluation have focused on the number of employees as the labor input but ignored the qualitative information about laborers, which may induce a biased evaluation. In the present paper, we utilize an SBM model to re-estimate the energy efficiency with CO2 emissions of China's 29 provinces from 2003 to 2011 with a modified labor input-human capital stock. A comparative analysis is first presented to distinguish between energy performance indicators with a traditional labor input (the number of employees), TEPI, and with a modified labor input (human capital stock), MEPI. The efficiency evaluation with the number of employees as the labor input underestimates energy efficiency. The evaluation results indicate that there was a declining trend of energy efficiency with CO2 emissions in China. The eastern area performed the best, and the western area had the worst performance. In addition, the kernel density estimation of MEPI showed that the distribution curves had a left shift overall and in the three regions, which reveals worsening energy efficiency performance in the sample years, and the efficiency distribution displayed differently in the three regions.
机译:最近能源保育和碳排放减少是中国低碳发展的重要问题。几乎所有关于能源效率评估的研究都集中在劳动力投入中的员工人数,而忽略了有关劳动者的定性信息,这可能会引起偏见的评估。在本文中,我们利用SBM模型重新估算2003年至2011年中国29个省份的二氧化碳排放的能源效率与修改后的劳动投入人力资本股。首先提出了一个比较分析,以区分传统劳动力投入(雇员人数),TEPI和改进的劳动投入(人力资本库存),MEPI的能源绩效指标。随着劳动力投入的效率评估低估了能源效率。评价结果表明,中国二氧化碳排放量趋于下降趋势。东部地区表现最佳,西部地区具有最糟糕的表现。此外,MEPI的核密度估计表明,分布曲线总体上和三个区域的左移,这揭示了在样本年内恶化的能效性能,以及三个区域不同地显示的效率分布。

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