Environmental efficiency of energy, materials, and emissions

Yagi, Michiyuki and Hidemichi, Fujii and Hoang, Vincent and Managi, Shunsuke (2015): Environmental efficiency of energy, materials, and emissions. Forthcoming in: Journal of Environmental Management

Abstract

This study estimates the environmental efficiency of international listed firms in 10 worldwide sectors from 2007-2013 by applying an order-m method, a non-parametric approach based on free disposal hull with subsampling bootstrapping. Using a conventional output of gross profit and two conventional inputs of labor and capital, this study examines the order-m environmental efficiency accounting for the presence of each of 10 undesirable inputs/outputs and measures the shadow prices of each undesirable input and output. The results show that there is greater potential for the reduction of undesirable inputs rather than bad outputs. On average, total energy, electricity, or water usage has the potential to be reduced by 50%. The median shadow prices of undesirable inputs, however, are much higher than the surveyed representative market prices. Approximately 10% of the firms in the sample appear to be potential sellers or production reducers in terms of undesirable inputs/outputs, which implies that the price of each item at the current level has little impact on most of the firms. Moreover, this study shows that the environmental, social, and governance activities of a firm do not considerably affect environmental efficiency.

• Item Type: MPRA Paper
• Language: English
• Keywords: Data envelopment analysis; Environmental efficiency; Shadow price; Free disposal hull; Linear programming
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General; D - Microeconomics > D2 - Production and Organizations > D24 - Production ; Cost ; Capital ; Capital, Total Factor, and Multifactor Productivity ; Capacity; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q50 - General

References

Aigner, D.J., Chu, S.F., 1968. On Estimating the Industry Production Function. American Economic Review, 58 (4), 826–839. <http://www.jstor.org/stable/1815535/>

Burtraw, D., Szambelan, S.J., 2009. U.S. Emissions Trading Markets for SO2 and NOx. Resources for the future Discussion Paper, No. 09-40, 1–42. doi:10.2139/ssrn.1490037

Cazals, C., Florens, J.P., Simar, L., 2002. Nonparametric frontier estimation: A robust approach. Journal of Econometrics, 106 (98), 1–25. doi:10.1016/S0304-4076(01)00080-X

Chambers, R.G., 2002. Exact nonradial input, output, and productivity measurement. Economic Theory 20, 751–765. doi:10.1007/s001990100231

Charnes, A., Cooper, W.W., 1962. Programming with linear fractional functionals. Naval Research Logistics Quarterly, 9 (3–4), 181–186. doi:10.1002/nav.3800090303

Cherchye, L., Kuosmanen, T., Post, T., 2001. FDH Directional Distance Functions: With an Application to European Commercial Banks. Journal of Productivity Analysis, 15 (3), 201–215. doi:10.1023/A:1011176325187

Daraio, C; Simar, L., 2007. Advance Robust and Nonparametric Methods in Efficiency Analysis. Springer: New York, USA. doi:10.1007/978-0-387-35231-2

Deprins, D., Simar, L., Tulkens, H., 2006. Measuring Labor-Efficiency in Post Offices, in: Chander, P., Drèze, J., Lovell, C.K., Mintz, J. (Eds.), Public Goods, Environmental Externalities and Fiscal Competition, Part III. Springer US, 285–309. doi:10.1007/978-0-387-25534-7_16

European Commission, 2012. Report from the commission to the European parliament and the council: the state of the European carbon market in 2012. <http://ec.europa.eu/clima/policies/ets/reform/docs/com_2012_652_en.pdf> [accessed: November 14, 2014]

Färe, R., Grosskopf, S., Noh, D.W., Weber, W., 2005. Characteristics of a polluting technology: Theory and practice. Journal of Econometrics, 126 (2), 469–492. doi:10.1016/j.jeconom.2004.05.010

Färe, R., Grosskopf, S., Tyteca, D., 1996. An activity analysis model of the environmental performance of firms—application to fossil-fuel-fired electric utilities. Ecological Economics, 18 (2), 161–175. doi:10.1016/0921-8009(96)00019-5

Fukuyama, H., Weber, W.L., 2008. Japanese banking inefficiency and shadow pricing. Mathematical and Computer Modelling, 48 (11–12), 1854–1867. doi:10.1016/j.mcm.2008.03.004

Kumbhakar, S.C., 1996. Efficiency measurement with multiple outputs and multiple inputs. Journal of Productivity Analysis, 7 (2–3), 225–255. doi:10.1007/BF00157043

Kuosmanen, T., Cherchye, L., Sipiläinen, T., 2006. The law of one price in data envelopment analysis: Restricting weight flexibility across firms. European Journal of Operational Research, 170 (3), 735–757. doi:10.1016/j.ejor.2004.07.063

International Energy Agency, 2013, Key world energy statistics 2013. <http://www.iea.org/publications/freepublications/publication/KeyWorld2013.pdf> [accessed: November 14, 2014]

Ishinabe, N., Fujii, H., Managi, S., 2013. The true cost of greenhouse gas emissions: Analysis of 1,000 global companies. PLoS ONE, 8 (11), e78703, 1–9. doi:10.1371/journal.pone.0078703

Lee, J.-D., Park, J.-B., Kim, T.-Y., 2002. Estimation of the shadow prices of pollutants with production/environment inefficiency taken into account: a nonparametric directional distance function approach. Journal of Environmental Management, 64 (4), 365–375. doi:10.1006/jema.2001.0480

Leleu, H., 2009. Mixing DEA and FDH models together. Journal of the Operational Research Society, 60 (12), 1730–1737. doi:10.1057/jors.2008.142 OECD, 2010. Pricing Water Resources and Water and Sanitation Services. doi:10.1787/9789264083608-en

Ray, S.C., Mukherjee, K., 2007. Efficiency in Managing the Environment and the Opportunity Cost of Pollution Abatement. Economics Working Papers 200709: University of Connecticut. <http://digitalcommons.uconn.edu/econ_wpapers/200709/> [accessed: November 14, 2014]

Schmalensee, R., Stavins, R.N., 2013. The SO2 Allowance Trading System: The Ironic History of a Grand Policy Experiment. Journal of Economic Perspectives, 27 (1), 103–122. doi:10.1257/jep.27.1.103

Tauchmann, H., 2011. Partial frontier efficiency analysis for Stata. Discussion paper SFB 823: Technical University of Dortmund, No.25/2011. <https://www.statistik.tu-dortmund.de/fileadmin/user_upload/SFB_823/discussion_papers/2011/DP_2511_SFB823_Tauchmann.pdf> [accessed: November 14, 2014]

World Resources Institute and World Business Council for Sustainable Development, 2011, “Corporate Value Chain (Scope 3) Accounting and Reporting Standard.” <http://www.ghgprotocol.org/standards/scope-3-standard> [accessed: May 10, 2015]