International comparison of Environmental performance

Dubrocard, Anne and Prombo, Michel (2012): International comparison of Environmental performance.

Abstract

In order to take into account the effects of production on the environment and, more generally, the urgency of finding a path of sustainable development many attempts have been made to set productivity growth measurements, including the negative impact of pollution, the production of goods and services generates. This paper present programs that have been developed to extend the measurement of total factor productivity and its components (technical progress and technical efficiency), to the consideration of environmental performance minimizing infeasibility problems sometime encountered with usual approaches using simple Malmquist indices. This study shows that the choice of a sequential index has a significant impact on productivity measures and on the comparison of the resulting performance.

• Item Type: MPRA Paper
• Language: English
• Keywords: productivity growth; environmental efficiency; DEA; directional distance; technological progress; technical efficiency, beta-convergence,sigma-convergence
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General; C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling; C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics

References

[1] V. E. Ball, A. K. Lovell, C. R. Nehring, and H. Luu, Incorporating Environmental Impacts in the Measurement of Agricultural Productivity Growth, Journal of Agriculturaland Resource Economics 29 (2004), no. 3, 436–60.

[2] J-C. Berthélemy, S. Dessus, and A. Varoudakis, Capital humain et croissance : le rôle du régime commercial, Revue Economique 48 (1997), no. 5, 419–427.

[3] D. W. Caves, L. R. Christensen, and W. E. Diewert, The economic theory of index numbers and the measurement of input, output, and productivity, Econometrica (1982), no. 50, 1393–1414.

[4] Y. H. Chung, R. Fare, and S. Grosskopf, Productivity and undesirable outputs: A directional distance function approach, Journal of Environmental Management 51 (1997), no. 3, 229–240.

[5] Quah D., Empirical cross section dynamics in economic growth, European Economic Review. (1993), no. 37, 426–434.

[6] , Galton’s fallacy and tests of the convergence hypothesis, (1993), no. 820.

[7] , Exploiting cross-section variations for unit root inference in dynamic data., Economics Letters (1994), no. 44, 9–19.

[8] , Empirics for economic growth and convergence, European Economic Review. (1996), no. 40, 1353–1376.

[9] Griefell-Tatjé E. and Lovell C.A.K., A note on the malmquist productivity index., Economic Letters (1995), no. 47, 169–175, 39.

[10] G. Karras Evans, P., Convergence revisited, journal of monetary economics, (1996), no. 37, 249–265.

[11] R. Fare, S. Grosskopf, C. A. K. Lovell, and Pasurka, Multilateral productivity comparisons when some outputs are undesirable: A non-parametric approach, The Review of Economics and Statistics 71 (1989), no. 1, 90–98.

[12] R. Fare, S. Grosskopf, C. A. K. Lovell, and S Yaisawarng, Production frontiers, Cambridge University Press, London., 1994.

[13] H. Forstner and A. Isaksson, Productivity, technology, and efficiency: an analysis of the world technology frontier when memory is infinite, (2002), no. 7.

[14] R. Färe, S. Grosskopf, and Pasurka CA Jr, Accounting for air pollution emissions in measures of state manufacturing productivity growth., J Reg Sci 41 (2001), no. 3, 381–409.

[15] M. Fukushige and I. Miyara, Statistical hypothesis testing for returns to scale using data envelopment analysis, 560 (2003).

[16] K.S. Im, M.H. Pesaran, and Y. Shin, Testing for unit roots in heterogeneous panels., Journal of Econometrics 115 (2003), no. 1, 53–74.

[17] Nazrul Islam, Growth empirics: A panel data approach, Quarterly Journal of Economics (1995), no. 110, 1127–1170.

[18] Barro R J and Sala i Martin X., Convergence across states and regions, Brookings Papers on Economic Activity (1991), no. 1, 107–182.

[19] Dale W. Jorgenson and Zvi Griliches, The explanation of productivity change, Review of Economic Studies 34 (1967), no. 3, 249–83, 40.

[20] S. Kumar, Environmentally sensitive productivity growth: A global analysis using malmquist-luenberger index, Ecol Econ 56 (2006), no. 2, 280–293.

[21] D.G. Luenberger, Benefit functions and duality, Journal of Mathematical Economics (1992), no. 21, 461–481.

[22] Knight M., Loayza N., and Villanueva D., Testing the neoclassical growth model, IMF Staff paper (1993), no. 40, 512–541.

[23] S. Malmquist, Index numbers and indifference curves., Trabajos de Estatistica (1953), no. 4,1, 209–42.

[24] Makiko Nakano and Shunsuke Managi, Regulatory reforms and productivity: An empirical analysis of the japanese electricity industry, Energy Policy (2008), no. 36, 201–209.

[25] Donghyun Oh, A global malmquist-luenberger productivity index : An application to oecd countries 1990-2004, (2009), no. 164.

[26] Carl Pasurka, Adventures ventures in modeling good and bad outputs: A 30 year retrospective, (2006).

[27] Chambers RG, Chung Y, and Färe R, Benefit and distance functions, European Journal of Econ Theory (1996), no. 70, 407–419.

[28] L.M. Seiford and J. Zhu, Modeling undesirable factors in efficiency evaluation., European Journal of Operational Research. (2002), no. 142, 16–20.

[29] R. W. Shephard, Theory of cost and production functions, Princeton University Press, Princeton, New Jersey, 1970. 41.

[30] V. Shestalova, Sequential malmquist indices of productivity growth: An application to oecd industrial activities, Journal of Productivity Analysis. 19 (2003), 211–226.

[31] H. Tulkens and P.V. Eeckaut., Non-parametric efficiency, progress and regress measure for panel data: Methodological aspects, European Journal of Operational Research. 80 (1995), 474–499.

[32] W.L. Weber and B. Domazlicky., Productivity growth and pollution in state manufacturing, The Review of Economics and Statistics. 83:1 (2001), 195–199.

[33] B.K. Yörük and O. Zaim, Productivity growth in oecd countries: A comparison with malmquist indices, Journal of Comparative Economics (2005), no. 33, 401–420.

[34] Ang B. Zhou, P. and K. Poh, Measuring environmental performance under different environmental technologies, Energy Economics (2008), no. 30, 1–14.