How not to measure sustainable value (and how one might)
Sustainability is a complex multidimensional concept that entails economic, environmental, and social aspects. The sustainable value (SV) method developed by F. Figge and T. Hahn [Ecol. Econ. 48(2004) 173-187] is one of the most promising attempts to measure sustainability performance of firms. SV measures corporate contributions to sustainability by valuing resource use based on the opportunity cost, which must be estimated. This paper critically examines Figge and Hahn's estimator for opportunity cost, and shows that the proposed estimator rests on a number of strong, unrealistic assumptions. Evidence from Monte Carlo simulations conducted by authors shows that the proposed estimator performs very poorly even under ideal conditions. Having identified shortcomings in the SV method, we review some econometric approaches with a proven statistical foundation, which might be usefully applied in the present context.
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- Figge, Frank & Hahn, Tobias, 2004. "Sustainable Value Added--measuring corporate contributions to sustainability beyond eco-efficiency," Ecological Economics, Elsevier, vol. 48(2), pages 173-187, February.
- Timmer, C P, 1971. "Using a Probabilistic Frontier Production Function to Measure Technical Efficiency," Journal of Political Economy, University of Chicago Press, vol. 79(4), pages 776-94, July-Aug..
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
- Callens, Isabelle & Tyteca, Daniel, 1999. "Towards indicators of sustainable development for firms: A productive efficiency perspective," Ecological Economics, Elsevier, vol. 28(1), pages 41-53, January.
- Kuosmanen, Timo & Bijsterbosch, Neil & Dellink, Rob, 2009. "Environmental cost-benefit analysis of alternative timing strategies in greenhouse gas abatement: A data envelopment analysis approach," Ecological Economics, Elsevier, vol. 68(6), pages 1633-1642, April.
- Richmond, J, 1974. "Estimating the Efficiency of Production," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 515-21, June.
- Hendry, David F., 1984. "Monte carlo experimentation in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 16, pages 937-976 Elsevier.
- Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.
- Lozano, Sebastián & Gutiérrez, Ester, 2008. "Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions," Ecological Economics, Elsevier, vol. 66(4), pages 687-699, July.
- Kuosmanen, Timo, 2006. "Stochastic Nonparametric Envelopment of Data: Combining Virtues of SFA and DEA in a Unified Framework," Discussion Papers 11864, MTT Agrifood Research Finland.
- Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.
- Fan, Yanqin & Li, Qi & Weersink, Alfons, 1996. "Semiparametric Estimation of Stochastic Production Frontier Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 460-68, October.
- Van Passel, Steven & Nevens, Frank & Mathijs, Erik & Van Huylenbroeck, Guido, 2007. "Measuring farm sustainability and explaining differences in sustainable efficiency," Ecological Economics, Elsevier, vol. 62(1), pages 149-161, April.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
- Bosetti, Valentina & Buchner, Barbara, 2009. "Data Envelopment Analysis of different climate policy scenarios," Ecological Economics, Elsevier, vol. 68(5), pages 1340-1354, March.
- Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
- Christensen, Laurits R & Greene, William H, 1976. "Economies of Scale in U.S. Electric Power Generation," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages 655-76, August.
- Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
- Zaim, Osman, 2004. "Measuring environmental performance of state manufacturing through changes in pollution intensities: a DEA framework," Ecological Economics, Elsevier, vol. 48(1), pages 37-47, January.
- Fare, Rolf & Grosskopf, Shawna & Pasurka, Carl Jr., 2007. "Pollution abatement activities and traditional productivity," Ecological Economics, Elsevier, vol. 62(3-4), pages 673-682, May.
- Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
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