Browsing by Author "Honma, Satoshi"

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A Comparative Study of Energy Efficiency of OECD Countries: An Application of the Stochastic Frontier Analysis
(2014-01-01)
Hu, Jin-Li
;
Honma, Satoshi
;
經營管理研究所
;
Institute of Business and Management
We parametrically estimate total-factor energy efficiency (TFEE) scores for 10 industries in 14 developed countries for the period 1995-2005 using stochastic frontier analysis (SFA) technique. The model includes four inputs (labor, capital stock, energy, and non-energy intermediate inputs) and one output (value added). Unlike previous studies that use data envelopment analysis (DEA), our method can take into account statistical noises. The results show that More than half of the industries have insignificant changes in the inefficiency trend. However, construction, paper, and textile industries have significantly increasing inefficiency (decreasing efficiency). The metal industry is the only industry which has decreasing inefficiency (increasing efficiency). As a result, most of the OECD industries have much room in improving their total-factor energy efficiency. Moreover, more than half of the industries have insignificant changes in the inefficiency trend. However, construction, paper, and textile industries have significantly increasing inefficiency. The metal industry is the only industry which has decreasing inefficiency. As a result, most of the OECD industries have much room in improving their total-factor energy efficiency (C) 2014 The Authors. Published by Elsevier Ltd.
A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions
(2014-12-15)
Honma, Satoshi
;
Hu, Jin-Li
;
經營管理研究所
;
Institute of Business and Management
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.
Efficient waste and pollution abatements for regions in Japan
(2009)
Honma, Satoshi
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Hu, Jin-Li
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交大名義發表
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National Chiao Tung University
This paper computes efficient industrial waste and air pollutants abatements for 47 regions in Japan for the period 1992-2002. The variable-returns-to-scale (VRS) data envelopment analysis (DEA) with a single output (real GDP) and seven inputs (labor, real public capital stock, real private capital stock, industrial waste, sulfur oxide, nitrogen oxide, and soot and dust) is used to compute target wastes of each region for each year. The efficient abatement ratios of each region in each year are obtained by comparing the actual to the target amount of a pollutant. Our major findings are: (1) Most regions in Japan have significant room to reduce their pollution since there is a wide gap between efficient and inefficient regions; (2) For each air pollutant, approximately 25-33% of Japan's prefectures can reduce their output by more than 50% without harming regional GDP, and approximately one-third of prefectures can reduce industrial waste more than 30%; (3) Hokkaido is the least efficient region for all years studied and for all waste and pollutants, and target abatement ratios there drastically worsened in the last two sample years; (4) Tokyo, Saitama, Yamanashi, Shiga, Nara, and Tottori are efficient with respect to each type of industrial waste and pollution throughout the study period; (5) many regions in the bottom quartile with respect to real per capita income have significant room to reduce their waste and pollution output; and (6) many regions where energy-intensive industries dominate produce excessive amounts of waste and air pollution compared to other regions.
Industry-level total-factor energy efficiency in developed countries: A Japan-centered analysis
(2014-04-15)
Honma, Satoshi
;
Hu, Jin-Li
;
經營管理研究所
;
Institute of Business and Management
Japan's energy security is more vulnerable today than it was before the Fukushima Daiichi nuclear power plant accident in March 2011. To alleviate its energy vulnerability, Japan has no choice but to improve energy efficiency. To aid in this improvement, this study compares Japan's energy efficiency at the industry level with that of other developed countries. We compute the total-factor energy efficiency (TFEE) of industries in 14 developed countries for 1995-2005 using data envelopment analysis. We use four inputs: labor, capital stock, energy, and non-energy intermediate inputs. Value added is the only relevant output. Results indicate that Japan can further optimize energy conservation because it experienced only a marginal decrease in the weighted TFEE, from 0.986 in 1995 to 0.927 in 2005. To improve inefficient industries, Japan should adapt energy conservation technologies from benchmark countries such as Germany, the United Kingdom, and the United States. (C) 2014 Elsevier Ltd. All rights reserved.
Total-factor energy efficiency of regions in Japan
(2008-02-01)
Honma, Satoshi
;
Hu, Jin-Li
;
經營管理研究所
;
Institute of Business and Management
This study computes the regional total-factor energy efficiency (TFEE) in Japan by employing the data envelopment analysis (DEA). A dataset of 47 prefectures in Japan for the period 1993-2003 is constructed. There are 14 inputs, including three production factors (labor employment, private, and public capital stocks) and I I energy sources (electric power for commercial and industrial use, electric power for residential use, gasoline, kerosene, heavy oil, light oil, city gas, butane gas, propane gas, coal, and coke). GDP is the sole output. Following Fukao and Yue [2000. Regional factor inputs and convergence in Japan-how much can we apply closed economy neoclassical growth models? Economic Review 51, 136-151 (in Japanese)], data on private and public capital stocks are extended. All the nominal variables are transformed into real variables, taking into consideration the 1995 price level. For kerosene, gas oil, heavy oil, butane gas, coal, and coke, there are a few prefectures with TFEEs less than 0.7. The five most inefficient prefectures are Niigata, Wakayama, Hyogo, Chiba, and Yamaguchi. Inland regions and most regions along the Sea of Japan are efficient in energy use. Most of the inefficient prefectures that are developing mainly upon energy-intensive industries are located along the Pacific Belt Zone. A U-shaped relation similar to the environmental Kuznets curve (EKC) is discovered between energy efficiency and per capita income for the regions in Japan. (C) 2007 Elsevier Ltd. All rights reserved.
Total-factor energy productivity growth of regions in Japan
(2009-10-01)
Honma, Satoshi
;
Hu, Jin-Li
;
交大名義發表
;
National Chiao Tung University
This article computes the energy productivity changes of regions in Japan using total-factor frameworks based on data envelopment analysis (DEA). Since the traditional DEA-Malmquist index cannot analyze changes in single-factor productivity changes under the total-factor framework, we apply a new index proposed by Hu and Chang [2009. Total-factor energy productivity growth of regions in China. Energy Policy, submitted for publication]: a total-factor energy productivity change index (TFEPI) that integrates the concept of the total-factor energy efficiency index into the Malmquist productivity index (MPI). Moreover, we separate TFEPI into change in relative energy efficiency, or the 'catching up effect,' and shift in the technology of energy use, or the 'innovation effect.' The data from 47 prefectures during the period of 1993-2003 are used to compute the TFEPI and its components for 4 kinds of energy. The TFEPI of electric power for commercial and industrial use changes -0.6% annually, which can be separated into a total-factor energy efficiency change of 0.2% and a technical change of -0.8%. The TFEPI for coal deteriorates by 1.0%/year, which is mostly caused by a decrease in relative energy efficiency change. We define and identify 'innovators' who cause the frontier to shift. Most regions identified as frontier shifters are located outside of Japan's four major industrial areas. (C) 2009 Elsevier Ltd. All rights reserved.
Total-FactorEnergy and Emission Efficiencies ofAssociation of Southeast Asian Nationsand Other Asian Economies
(1970-01-01)
Hu, Jin-Li
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Honma, Satoshi
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Chen, Yu-Kai
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交大名義發表
;
National Chiao Tung University
This research uses the slack-based measure data envelopment analysis to compute the energy and emission efficiencies of Association of Southeast Asian Nations (ASEAN) and other Asian economies during the 2001-2017 period, employs the Malmquist productivity index to check for the main source of efficiency score changes due to technical changes, and then applies panel Tobit regressions to determine the factors explaining the efficiencies. Our empirical results show that the energy efficiency scores of ASEAN economies had been catching up to other Asian economies after the Global Financial Crisis, whereas the emission efficiency scores of various ASEAN economies had been falling behind other Asian economies over the same period. The main source of efficiency score changes over time is efficiency changes and not technical changes. Decreases in the fossil fuel ratio of net electricity generation and the secondary industry ratio within total industry improve both lead to improvements in energy and emission efficiencies.