A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions
A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions
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DOI：
10.1016/j.energy.2014.10.066
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发表时间：
2014-12-15
期刊：
影响因子：
9
通讯作者：
Hu, Jin-Li
中科院分区：
文献类型：
--
作者：
Honma, Satoshi;Hu, Jin-Li
利用随机前沿分析模型，对1996-2008年日本47个地区的全因子能源效率进行了评估。我们将Zhou等人（2012）提出的横截面随机前沿模型扩展到面板数据模型，并加入环境变量。结果不仅提供了考虑了统计噪声的TFEE分数，而且还提供了效率低下的决定因素。将三个随机TFEE分数与使用数据包络分析得出的TFEE分数进行比较。四个TFEE分数彼此之间高度相关。对于低效率估计，较高的制造业份额和批发零售业份额对应较低的TFEE得分。(C) 2014 Elsevier Ltd.版权所有。
Using the stochastic frontier analysis model, we estimate TFEE (total-factor energy efficiency) scores for 47 regions across Japan during the years 1996-2008. We extend the cross-sectional stochastic frontier model proposed by Zhou et al. (2012) to panel data models and add environmental variables. The results provide not only the TFEE scores, in which statistical noise is taken into account, but also the determinants of inefficiency. The three stochastic TFEE scores are compared with a TFEE score derived using data envelopment analysis. The four TFEE scores are highly correlated with one another. For the inefficiency estimates, higher manufacturing industry shares and wholesale and retail trade shares correspond to lower TFEE scores. (C) 2014 Elsevier Ltd. All rights reserved.