Being Efficient to Stay Strong in a Weak Economy. The Case of Calabrian Manufacturing Firms


The aim of this work is to study the efficiency of firms operating in Calabria, a small and economically-lagging Italian region. The analysis is carried out by estimating a stochastic production frontier for an unbalanced panel of manufacturing firms which are observed over the 1998-2006 period. Results show that the efficiency score is, on average, about 60%. A declining trend is observed over the last three-year period, 2004-2006. Moreover, efficiency increases with firm age and when firms export. Inconclusive evidence is found for the role of investments in ICT and R&D. This is not very surprising given that private effort in technological activities is extremely low in Calabria (private R&D intensity was less than 0.075% of regional GDP in 2010).

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Aiello, F. and Castiglione, C. (2014) Being Efficient to Stay Strong in a Weak Economy. The Case of Calabrian Manufacturing Firms. Technology and Investment, 5, 95-105. doi: 10.4236/ti.2014.52010.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Aiello, F., Pupo, V. and Ricotta, F. (2014) Explaining Total Factor Productivity at Firm Level in Italy: Does Location Matter? Spatial Economic Analysis, 9, 1-20.
[2] Brida, J.G., Garrido, N. and Mureddu, F. (2014) Italian Economic Dualism and Convergence Clubs at Regional Level. Quality and Quantity, 48, 439-456.
[3] Gitto, S. and Mancuso, P. (2013) The Contribution of Physical and Human Capital Accumulation to Italian Regional Growth: A Nonparametric Perspective. Journal Productivity Analysis, Online First.
[4] Mastromarco, C. and Woitek, U. (2006) Public Infrastructure Investment and Efficiency in Italian Regions. Journal of Productivity Analysis, 25, 57-65.
[5] Pompei, F. (2013) Efficiency and Productivity Growth across the Italian Regions: The Regional Divide Revisited. MPRA Paper No. 52052.
[6] Bank of Italy (2013) The Industrial System in the South of Italy and the Crisis (L’industria meridionale e la crisi). Questioni di Economia e Finanza, Rome, 194.
[7] Svimez (2013) Rapporto SVIMEZ sull’economia del Mezzogiorno 2012. Il Mulino, Rome.
[8] Battese, G.E. and Coelli, T.J. (1995) A Model for Technical Efficiency Effect in a Stochastic Frontier Production Functions for Panel Data. Empirical Economics, 20, 325-332.
[9] Coelli, T. (1995) Recent Development in Frontier Modelling and Efficiency Measurement. Australian Journal of Agricultural Economics, 39, 219-245.
[10] Shao, B.B.M. and Lin, W.T. (2002) Technical Efficiency Analysis of Information Technology Investments: A TwoStage Empirical Investigation. Information and Management, 39, 391-401.
[11] Greene, W.H. (1993) The Econometric Approach to Efficiency Analysis. In Harold, O.F., Knox Lovell, C.A. and Schmidt, S.S., Eds., The Measurement of Productivity Efficiency: Techniques and Applications. Oxford University Press, New York, 92-250.
[12] Wang, H.J. and Schmidt, P. (2002) One-Step and Two-Step Estimation of the Effect of Exogenous Variables on Technical Efficiency Levels. Journal of Productivity Analysis, 18, 129-144.
[13] Assefa, A. and Matambalya, F.A.S.T. (2002) Technical Efficiency of Small and Medium-Scale Enterprises. Eastern Africa Social Science Research Review, 18, 1-29.
[14] Becchetti, L., Londono-Bedoya, D.A. and Paganetto, L. (2003) ICT Investment, Productivity and Efficiency: Evidence at Firm Level Using a Stochastic Frontier Approach. Journal of Productivity Analysis, 20, 143-167.
[15] Castiglione, C. (2012) Technical Efficiency and ICT Investment in Italian Manufacturing Firms. Applied Economics, 44, 1749-1763.
[16] Aiello, F., Cardamone, P. and Pupo, V. (2005) Produttività e capitale tecnologico nel settore manifatturiero italiano. L’Industria, 1, 119-146.
[17] Bugamelli, M. and Pagano, P. (2004) Barriers to Investment in ICT. Applied Economics, 36, 2275-2286.
[18] Castiglione, C. and Infante, D. (2014) ICTs and Time-Span in Technical Efficiency Gains. A Stochastic Frontier Approach over a Panel of Italian Manufacturing Firms. Economic Modelling, Forthcoming.
[19] Brynjolfsson, E. and Hitt, L. (1996) Paradox Lost? Firm Level Evidence on the Returns to Information Systems Spending. Management Science, 42, 541-558.
[20] Kodde, D. and Palm, F. (1986) Wald Criteria for Jointly Testing Equality and Inequality Restrictions. Econometrica, 54, 1243-1248.
[21] Gholami, R., Moshiri, S. and Lee, S.Y.T. (2004) ICT and Productivity of the Manufacturing Industries in Iran. Electronic Journal on Information System in Developing Countries, 19, 1-19.
[22] Hall, B.H., Lotti, F. and Mairesse, J. (2013) Evidence on the Impact of R&D and ICT Investments on Innovation and Productivity in Italian Firms. Economics of Innovation and New Technology, 22, 300-328.
[23] Solow, R.M. (1987) We’d Better Watch out. New York Review of Books, 12, 36.
[24] Castiglione, C. and Infante, D. (2013) ICT as General Purpose Technologies. A Microeconometric Investigation on Italian Firms. International Journal of Trade and Global Markets, 6, 225-241.
[25] ISGEP (2008) Understanding Cross-Country Differences in Exporter Premia: Comparable Evidence for 14 Countries. Review of World Economics, 144, 596-635.
[26] Wagner, J. (2007) Exports and Productivity: A Survey of the Evidence from Firm-Level Data. The World Economy, 30, 60-82.
[27] Aiello, F. and Cardamone, P. (2012) Regional Economic Divide and the Role of Technological Spillovers in Italy. Evidence from Micro-Data. Structural Change and Economic Dynamics, 23, 205-220.
[28] Audretsch, D.B. and Feldmann, M.P. (2004) Knowledge Spillovers and the Geography of Innovation. In Henderson, J.V. and Thisse, J.K., Eds., Handbook of Regional and Urban Economics, Elsevier, Amsterdam, 2713-2739.
[29] Brulhart, M. and Mathys, N. (2008) Sectoral Agglomeration Economies in a Panel of European Regions. Regional Science and Urban Economics, 38, 348-362.
[30] Carboni Oliviero, A. (2013) Spatial and Industry Proximity in Collaborative Research: Evidence from Italian Manufacturing Firms. The Journal of Technology Transfer, 38, 896-910.
[31] Rosenthal, S. and Strange, W. (2004) Evidence on the Nature and Sources of Agglomeration Economies. In Henderson, J.V. and Thisse, J.K., Eds., Handbook of Regional and Urban Economics, Elsevier, Amsterdam, 2119-2171.

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