Environmental assessment for corporate sustainability by resource utilization and technology innovation: DEA radial measurement on Japanese industrial sectors

Energy Economics

Volumn 46, Issue , 2014, Pages 295-307

  Sueyoshi, Toshiyuki ^a   Goto, Mika ^b  

^a NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY   (United States)

^b TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Data Envelopment Analysis; Energy; Environment; Radial measure

Indexed keywords

CORPORATE-SUSTAINABILITY; ENERGY; ENVIRONMENT; ENVIRONMENTAL ASSESSMENT; INDUSTRIAL SECTOR; RADIAL MEASURE; RESOURCE UTILIZATIONS; TECHNOLOGY INNOVATION;

DATA ENVELOPMENT ANALYSIS;

CORPORATE STRATEGY; DATA ENVELOPMENT ANALYSIS; ELECTRICITY INDUSTRY; ENVIRONMENTAL ASSESSMENT; INNOVATION; RESOURCE USE; SUSTAINABILITY;

JAPAN;

EID: 84908452335     PISSN: 01409883     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eneco.2014.09.021     Document Type: Article

References (56)

1. Bevilacqua M., Braglia M. Environmental efficiency analysis for ENI oil refineries. J. Clean. Prod. 2002, 10:85-92.
2. Bi G.-B., Son W., Zhou P., Liang L. Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slack-based DEA model. Energy Policy 2014, 66:537-546.
3. Chang D.-S., Yang F.-C. Assessing the power generation, pollution control, and overall efficiencies of municipal solid waste incinerators in Taiwan. Energy Policy 2011, 39:651-663.
4. Glover F., Sueyoshi T. Contributions of Professor William W. Cooper in operations research and management science. Eur. J. Oper. Res. 2009, 197:1-16.
5. Goto M., Sueyoshi T. Electric power market reform in Japan after Fukushima: issues and future direction. Int. J. Energy Sect. Manag. 2015, (forthcoming).
6. Goto M., Otsuka A., Sueyoshi T. DEA (data envelopment analysis) assessment of operational and environmental efficiencies on Japanese regional industries. Energy 2014, 66:535-549.
7. Guo X.-D., Zhu L., Fan Y. Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA. Energy Policy 2011, 39:2352-2360.
8. Ijiri Y., Sueyoshi T. Accounting essays by Professor William W. Cooper: revisiting in commemoration of his 95th birthday. Abacus J. Account. Financ. Bus. Stud. 2010, 46:464-505.
9. Korhonen P.J., Luptacik M. Eco-efficiency analysis of power plants: an extension of data envelopment analysis. Eur. J. Oper. Res. 2004, 204:437-446.
10. Kumar S. Environmentally sensitive productivity growth: a global analysis using Malmquist-Luenberger index. Ecol. Econ. 2006, 56:280-293.
11. Li L.-B., Hu J.-L. Ecological total-factor energy efficiency of regions in China. Energy Policy 2012, 46:216-224.
12. MandaL S.K., Madheswaran S. Environmental efficiency of the Indian cement industry: an interstate analysis. Energy Policy 2010, 38:1108-1118.
13. Oggion G., Riccardi R., Toninelli R. Eco-efficiency of the world cement industry: a data envelopment analysis. Energy Policy 2011, 39:2842-2854.
14. Pasurka C.A. Decomposing electric power plant emissions within a joint production framework. Energy Econ. 2006, 28:26-43.
15. Picazo-Tadeo A.J., Reig-Martinez E., Hernandez-Sancho F. Directional distance functions and environmental regulation. Resour. Energy Econ. 2005, 27:131-142.
16. Porter M., van der Linde C. Toward a new conception of the environment-competitiveness relationship. J. Econ. Perspect. 1995, 9:97-118.
17. Riccardi R., Oggioni G., Toninelli R. Efficiency analysis of world cement industry in presence of undesirable output: application of data envelopment analysis and directional distance function. Energy Policy 2012, 44:140-152.
18. Society for Environmental Economics and Policy Studies Basic Facts and Concepts 2006, Yuhikaku, Tokyo, Japan, (in Japanese).
19. Sueyoshi T. DEA duality on returns to scale (RTS) in production and cost analyses: an occurrence of multiple solutions and differences between production-based and cost-based RTS estimates. Manag. Sci. 1999, 45:1593-1608.
20. Sueyoshi T., Goto M. Can environmental investment and expenditure enhance financial performance of US electric utility firms under the clean air act amendment of 1990?. Energy Policy 2009, 37:4819-4826.
21. Sueyoshi T., Goto M. Measurement of a linkage among environmental, operational and financial performance in Japanese manufacturing firms: a use of data envelopment analysis with strong complementary slackness condition. Eur. J. Oper. Res. 2010, 207:1742-1753.
22. 2 emission control?: Examination by data envelopment analysis. Energy Policy 2010, 38:5902-5911.
23. Sueyoshi T., Goto M. Measurement of a linkage among environmental, operational and financial performance in Japanese manufacturing firms: a use of data envelopment analysis with strong complementary slackness condition. Eur. J. Oper. Res. 2010, 207:1742-1753.
24. Sueyoshi T., Goto M. Operational synergy in the electric utility industry under the influence of US deregulation policy: a linkage to financial performance and corporate value. Energy Policy 2011, 39:699-713.
25. Sueyoshi T., Goto M. DEA approach for unified efficiency measurement: assessment of Japanese fossil fuel power generation. Energy Econ. 2011, 33:195-208.
26. Sueyoshi T., Goto M. A combined use of DEA (data envelopment analysis) with strong complementary slackness condition and DEA-DA (discriminant analysis). Appl. Math. Lett. 2011, 24:1051-1056.
27. Sueyoshi T., Goto M. Data envelopment analysis for environmental assessment: comparison between public and private ownership in petroleum industry. Eur. J. Oper. Res. 2012, 216:668-678.
28. Sueyoshi T., Goto M. DEA radial measurement for environmental assessment and planning: desirable procedures to evaluate fossil fuel power plants. Energy Policy 2012, 41:422-432.
29. Sueyoshi T., Goto M. Efficiency-based rank assessment for electric power industry: a combined use of data envelopment analysis (DEA) and DEA-discriminant analysis (DA). Energy Econ. 2012, 34:634-644.
30. Sueyoshi T., Goto M. Returns to scale and damages to scale under natural and managerial disposability: strategy, efficiency and competitiveness of petroleum firms. Energy Econ. 2012, 34:645-662.
31. Sueyoshi T., Goto M. Environmental assessment by DEA radial measurement: U.S. coal-fired power plants in ISO (independent system operator) and RTO (regional transmission organization). Energy Econ. 2012, 34:663-676.
32. Sueyoshi T., Goto M. Weak and strong disposability vs. natural and managerial disposability in DEA environmental assessment: comparison between Japanese electric power industry and manufacturing industries. Energy Econ. 2012, 34:686-699.
33. Sueyoshi T., Goto M. DEA radial and non-radial models for unified efficiency under natural and managerial disposability: theoretical extension by strong complementary slackness conditions. Energy Econ. 2012, 34:700-713.
34. Sueyoshi T., Goto M. Returns to scale, damages of scale, marginal rate of transformation and rate of substitution in DEA environmental assessment. Energy Econ. 2012, 34:905-917.
35. Sueyoshi T., Goto M. Returns to scale and damages to scale with strong complementary slackness conditions in DEA environmental assessment: Japanese corporate effort on environmental protection. Energy Econ. 2012, 34:1422-1434.
36. Sueyoshi T., Goto M. DEA environmental assessment of coal fired power plants: methodological comparison between radial and non-radial models. Energy Econ. 2012, 34:1854-1863.
37. Sueyoshi T., Goto M. Returns to scale and damages to scale on U.S. fossil fuel power plants: radial and non-radial approaches for DEA environment assessment. Energy Econ. 2012, 34:2240-2259.
38. Sueyoshi T., Goto M. Returns to scale vs. damages to scale in data envelopment analysis: an impact of U.S. clean air act on coal-fired power plants. Omega 2013, 41:164-175.
39. Sueyoshi T., Goto M. A use of DEA-DA to measure importance of R&D expenditure in Japanese information technology industry. Decis. Support. Syst. 2013, 54:941-952.
40. Sueyoshi T., Goto M. A comparative study among fossil fuel power plants in PJM and California ISO by DEA environmental assessment. Energy Econ. 2013, 40:130-145.
41. 2 of industrial nations. Energy Econ. 2013, 40:370-382.
42. Sueyoshi T., Goto M. DEA radial measurement for environmental assessment: a comparative study between Japanese chemical and pharmaceutical firms. Appl. Energy 2014, 115:502-513.
43. Sueyoshi T., Goto M. Investment strategy for sustainable society by development of regional economies and prevention of industrial pollutions in Japanese manufacturing Sectors. Energy Econ. 2014, 42:299-312.
44. Sueyoshi T., Goto M. Photovoltaic power stations in Germany and the United States: a comparative study by data envelopment analysis. Energy Econ. 2014, 42:271-288.
45. Sueyoshi T., Sekitani K. Returns to scale in dynamic DEA. Eur. J. Oper. Res. 2005, 161:536-544.
46. Sueyoshi T., Sekitani K. Measurement of returns to scale by a non-radial DEA model: a range-adjusted measure model. Eur. J. Oper. Res. 2007, 176:1918-1946.
47. Sueyoshi T., Sekitani K. The measurement of returns to scale under a simultaneous occurrence of multiple solutions in a reference set and a supporting hyperplane. Eur. J. Oper. Res. 2007, 181:549-570.
48. Sueyoshi T., Wang D. Radial and non-radial approaches for environmental assessment by data envelopment analysis: corporate sustainability and effective investment for technology innovation. Energy Econ. 2014, 45:537-551.
49. Sueyoshi T., Wang D. Sustainability development for supply chain management in 9Q5168 U.S. petroleumindustry by DEA environmental assessment. Energy Econ. 2014, 10.1016/j.eneco.2014.09.022.
50. Sueyoshi T., Goto M., Shang J. Core business concentration vs. corporate diversification in the US electric utility industry: synergy and deregulation effects. Energy Policy 2009, 37:4583-4594.
51. Sueyoshi T., Goto M., Ueno T. Performance analysis of U.S. coal-fired power plants by measuring three DEA efficiencies. Energy Policy 2010, 38:1675-1688.
52. Sueyoshi T., Goto M., Snell M.A. DEA environmental assessment: measurement of damages to scale with unified efficiency under managerial disposability or environmental efficiency. Appl. Math. Model. 2013, 37:7300-7314.
53. Sueyoshi T., Goto M., Sugiyama M. DEA window analysis for environmental assessment in a dynamic time shift: performance assessment of U.S. coal-fired power plants. Energy Econ. 2013, 40:845-857.
54. Wang D., Li S., Sueyoshi T. DEA environmental assessment on U.S. industrial sectors: investment for improvement in operational and environmental performance for corporate sustainability. Energy Econ. 2014, 45:254-267.
55. Watanabe M., Tanaka K. Efficiency analysis of Chinese industry: a directional distance approach. Energy Policy 2007, 35:6323-6331.
56. Zaim O. Measuring environmental performance of state manufacturing through changes in pollution intensities: a DEA framework. Ecol. Econ. 2004, 48:37-47.