Fioramanti, Marco (2011): Knock-on effect of non-manufacturing regulation on manufacturing sectors efficiency and productivity.
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Since the mid of nineties European countries are registering an anemic growth of economic activity, in large part due to the dynamic of productivity. In 2010 the European Council adopted a new Agenda, Euro2020, which aim is to boost growth also improving European competitiveness. Regulation is one of the main factors influencing competitiveness. This paper focuses on the determinants of Total Factor Productivity (TFP) growth in 13 manufacturing sectors in a panel of 18 OECD countries from 1975 to 2007. Using the Stochastic Frontier Approach applied to the EU-KLEMS and OECD’s Regulation Impact Indicator database I found that, given the strong negative relationship between regulation and Technical Efficiency, which is one of the drivers of TFP, countries with still tight regulation in services could/should reduced it in order to improve their economic performance without detriment for public finances.
|Item Type:||MPRA Paper|
|Original Title:||Knock-on effect of non-manufacturing regulation on manufacturing sectors efficiency and productivity|
|Keywords:||Total Factor Productivity, Technical Efficiency, Competition, Regulation, Stochastic Frontier.|
|Subjects:||O - Economic Development, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O47 - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
C - Mathematical and Quantitative Methods > C2 - Single Equation Models; Single Variables > C23 - Models with Panel Data; Longitudinal Data; Spatial Time Series
L - Industrial Organization > L5 - Regulation and Industrial Policy > L59 - Other
|Depositing User:||Marco Fioramanti|
|Date Deposited:||14. Jul 2011 13:32|
|Last Modified:||12. Feb 2013 07:49|
Aigner, D., Lovell, C.A.K., and Schmidt, P. (1977) “Formulation and estimation of 25 stochastic frontier production function models”, Journal of Econometrics, 6: 21-37.
Aghion, P., Blundell, R., Griffith, R., Howitt, P., and Prantl, S. (2004) “Entry and Productivity Growth: Evidence from Micro-Level Panel Data”, Journal of the European Economic Association, Papers and Proceedings, 2, 265-276.
Aghion, P. and Griffith, R. (2005) Competition and Growth: Reconciling Theory and Evidence, The MIT Press.
Aghion, P. and Howitt, P. (2006) “Joseph Schumpeter Lecture: Appropriate Growth Policy: A Unifying Framework”, Journal of the European Economic Association, 4(2-3): 269-314.
Battese, G.E., and Coelli, T.J. (1993) "A Stochastic Frontier Production Function Incorporating a Model for Technical Inefficiency Effects", Working Papers in Econometrics and Applied Statistics, No. 69, Department of Econometrics, University of New England, Armidale.
Battese, G.E., and Coelli, T.J. (1995) "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data", Empirical Economics, 20, 325-332.
Berndt, E.R. and Christensen, L.R. (1973) “The Translog Function and the Substitution of Equipment, Structures, and labor in U.S. manufacturing 1929-68”, Journal of Econometrics, 1: 81-114.
Blanchard, O. (2004) “The Economic Future of Europe”, Journal of Economic Perspectives, 18(4): 3-26.
Coelli, T. (1995): “Estimators and Hypothesis Tests for a Stochastic Frontier Function: a Monte Carlo Analysis”, Journal of Productivity Analysis, 6, pp. 247-268.
Coelli, T. and Henningsen, A. (2011) “Package ‘frontier’”, help manual, on-line available at http://cran.r-project.org/web/packages/frontier/frontier.pdf.
Coelli, T., Rao, D. S. P., and Battese, G. E. (1998) An Introduction to Efficiency and Productivity Analysis, Boston: Kluwer Academic.
Conway, P., and Nicoletti, G. (2006) “Product Market Regulation in Non-Manufacturing Sectors of OECD Countries: Measurement and Highlights”, OECD Economics Department Working Papers No. 530, OECD, Paris.
Greene W. (2005) “Reconsidering Heterogeneity in Panel Data Estimators of the Stochastic Frontier Model”, Journal of Econometrics, 126, 269-303.
Greene, W.H. (2008) “The Econometric Approach to Efficiency Analysis”, in The Measurement of Productive Efficiency and Productivity Growth, Ed. by Harold O. Fried, C. A. Knox Lovell and Shelton S. Schmidt, Oxford University Press.
Griffin, R.C., Montgomery, J.M., and Rister, M.E. (1987) “Selecting Functional Form in Production Function Analysis”, Western Journal of Agricultural Economics, 18(2): 216-227.
Havik, K., Mc Morrow, K., Röger, W., and Turrini A. (2008) “The EU-US Total Factor Productivity Gap: an Industry Perspective”, European Economy, Economic Paper N. 339.
Kumbhakar S.C., and Lovell C.A.K. (2000) Stochastic Frontier Analysis, Cambridge University Press.
Limdep 9.0 (2007) “Econometric Modelling Guide” Vol. 2.
Meeusen,W., and van den Broeck, J. (1977) “Efficiency estimation from Cobb–Douglas production functions with composed error”, International Economic Review, 18: 435–444.
Nicoletti, G. and Scarpetta, S. (2003) “Regulation, Productivity and Growth: OECD Evidence”, Economic Policy, 36: 9-72.
Olsen, J.V. and Henningsen, A. (2011) “Investment Utilisation and Farm Efficiency in Danish Agriculture”, Knowledge Centre for Agriculture, Agro Food Park, Aarhus, Denmark. Forthcoming.
Ravn, M.O. and Uhlig, H. (2002) “On adjusting the Hodrick-Prescott filter for the frequency of observations”, Review of Economics and Statistics 84(2), 371-376.
Sapir A., Aghion P., Bertola G., Hellwig M., Pisani-Ferry J., Rosati D., Viñals J., Wallace H. (2003) “An agenda for a growing Europe: Making the EU system deliver”, Report of an Independent High Level Group established on the initiative of the President of the European Commission.
Sharma, S.C., Sylwester, K., and Margono, H. (2007) “Decomposition of Total Factor Productivity Growth in U.S. States”, The Quarterly Review of Economics and Finance, 47, 215-241.
Timmer, M., van Moergastel, T., Stuivenwold, E., Ypma, G., O’Mahony, M., and Kangasniemi, M. (2007) “EU KLEMS Growth and Productivity Accounts” Version 1.0, available on line (www.euklems.net).
Wang, H.J. and Ho, C.W. (2010) “Estimating Fixed-Effect Panel Stochastic Frontier Models by Model Transformation”, Journal of Econometric, 157, 286-296.