Assessment of Productive and Environmental Efficiencies of Japanese Industries

The global warming and climate change becomes a major policy issue in the world. To partly deal with the climate change issue from economics and business concerns, this study proposes a use of Data Envelopment Analysis (DEA) as a methodology for unified (operational and environmental) assessments. The proposed DEA approach has been long serving as an important methodology to evaluate the performance of various organizations. Recently, many researchers have applied DEA to various environmental issues. A contribution of the previous DEA studies was that they found the importance of an output separation into desirable (good) outputs and undesirable (bad) outputs (e.g., CO2 emission and air pollution substances from production activities). Acknowledging a contribution of these previous studies on DEA environmental assessment, this study classifies efficiency measures into the two categories according to the treatment of undesirable outputs: (a) productive efficiency and (b) unified efficiency under natural disposability. The first efficiency does not incorporate undesirable outputs in the performance evaluation, while the second measure incorporates them to the environmental assessment. Using a data set regarding the manufacturing industries of 47 prefectures in Japan, this study examines their productive and environmental efficiencies to obtain policy implications. The important empirical finding suggests that Japanese regional industries need to make their further efforts to reduce air pollution substances and increase energy efficiency.

[1]  M. Porter,et al.  Toward a New Conception of the Environment-Competitiveness Relationship , 1995 .

[2]  Harald Dyckhoff,et al.  Measuring ecological efficiency with data envelopment analysis (DEA) , 2001, Eur. J. Oper. Res..

[3]  Pekka J. Korhonen,et al.  ECO-EFFICIENCY ANALYSIS OF POWER PLANTS: AN EXTENSION OF DATA ENVELOPMENT ANALYSIS , 2000 .

[4]  Osman Zaim,et al.  Measuring environmental performance of state manufacturing through changes in pollution intensities: a DEA framework , 2004 .

[5]  F. Hernández-Sancho,et al.  Directional distance functions and environmental regulation , 2005 .

[6]  S. Deshmukh,et al.  Efficiency evaluation of the state owned electric utilities in India , 2006 .

[7]  Carl A. Pasurka,et al.  Decomposing electric power plant emissions within a joint production framework , 2006 .

[8]  Surender Kumar,et al.  Environmentally Sensitive Productivity Growth: A Global Analysis Using Malmquist-Luenberger Index , 2006 .

[9]  Kemal Sarica,et al.  Efficiency assessment of Turkish power plants using data envelopment analysis , 2007 .

[10]  Sebastián Lozano,et al.  Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions , 2008 .

[11]  J. Bi,et al.  Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach , 2008 .

[12]  Peng Zhou,et al.  A survey of data envelopment analysis in energy and environmental studies , 2008, Eur. J. Oper. Res..

[13]  B. W. Ang,et al.  Total factor carbon emission performance: A Malmquist index analysis , 2010 .

[14]  Toshiyuki Sueyoshi,et al.  Methodological comparison between two unified (operational and environmental) efficiency measurements for environmental assessment , 2011, Eur. J. Oper. Res..

[15]  Seyed Farid Ghaderi,et al.  Measuring efficiency and productivity change in power electric generation management companies by us , 2011 .

[16]  Toshiyuki Sueyoshi,et al.  Data envelopment analysis for environmental assessment: Comparison between public and private ownership in petroleum industry , 2012, Eur. J. Oper. Res..

[17]  Toshiyuki Sueyoshi,et al.  DEA radial and non-radial models for unified efficiency under natural and managerial disposability: Theoretical extension by strong complementary slackness conditions , 2012 .

[18]  Toshiyuki Sueyoshi,et al.  Returns to scale vs. damages to scale in data envelopment analysis: An impact of U.S. clean air act on coal-fired power plants , 2013 .