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Size and productivity: a conditional approach for Italian pharmaceutical sector

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  • Pierluigi Toma

    (University of Salento)

Abstract

In this study, an appropriate nonparametric two-step approach to conditional efficiencies is used to investigate how size and time affect the performance of companies. Using a dataset of Italian manufacturing firms over the period 2006–2015, we explore the effect of size on the attainable production set (input-output space) and on the efficiency distribution, without making any a priori assumptions on the role of size on efficiency. Main findings suggest that size positively affects the efficiency of companies. By exploring the idiosyncratic efficiency, an additional empirical result from the conditional efficiency approach shows that the economic disparities between North, Centre and South of Italy not only limit the foreign investment but also seem to penalize the productivity of Italian-owned companies.

Suggested Citation

  • Pierluigi Toma, 2020. "Size and productivity: a conditional approach for Italian pharmaceutical sector," Journal of Productivity Analysis, Springer, vol. 54(1), pages 1-12, August.
    • Handle: RePEc:kap:jproda:v:54:y:2020:i:1:d:10.1007_s11123-020-00580-y
    DOI: 10.1007/s11123-020-00580-y
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    1. Marc J. Melitz & Giancarlo I. P. Ottaviano, 2021. "Market Size, Trade, and Productivity," World Scientific Book Chapters, in: Firms and Workers in a Globalized World Larger Markets, Tougher Competition, chapter 4, pages 87-108, World Scientific Publishing Co. Pte. Ltd..
    2. Camilla Mastromarco & Léopold Simar, 2015. "Effect of FDI and Time on Catching Up: New Insights from a Conditional Nonparametric Frontier Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(5), pages 826-847, August.
    3. Cinzia Daraio & Léopold Simar & Paul W. Wilson, 2018. "Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non‐parametric, two‐stage models of production," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 170-191, June.
    4. M. Diaz & Rosario Sanchez, 2008. "Firm size and productivity in Spain: a stochastic frontier analysis," Small Business Economics, Springer, vol. 30(3), pages 315-323, March.
    5. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    6. Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2016. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Journal of Productivity Analysis, Springer, vol. 45(1), pages 53-69, February.
    7. Badin, Luiza & Daraio, Cinzia & Simar, Léopold, 2010. "Optimal bandwidth selection for conditional efficiency measures: A data-driven approach," European Journal of Operational Research, Elsevier, vol. 201(2), pages 633-640, March.
    8. Thomas J. Holmes & John J. Stevens, 2014. "An Alternative Theory of the Plant Size Distribution, with Geography and Intra- and International Trade," Journal of Political Economy, University of Chicago Press, vol. 122(2), pages 369-421.
    9. Black, Sandra E & Lynch, Lisa M, 1996. "Human-Capital Investments and Productivity," American Economic Review, American Economic Association, vol. 86(2), pages 263-267, May.
    10. Chih-Hai Yang & Ku-Hsieh Chen, 2009. "Are small firms less efficient?," Small Business Economics, Springer, vol. 32(4), pages 375-395, April.
    11. Giovanni Dosi & Marco Grazzi & Luigi Marengo & Simona Settepanella, 2016. "Production Theory: Accounting for Firm Heterogeneity and Technical Change," Journal of Industrial Economics, Wiley Blackwell, vol. 64(4), pages 875-907, December.
    12. Susan E Feinberg & Sumit K Majumdar, 2001. "Technology Spillovers from Foreign Direct Investment in the Indian Pharmaceutical Industry," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 32(3), pages 421-437, September.
    13. Marc J. Melitz & Gianmarco I. P. Ottaviano, 2008. "Market Size, Trade, and Productivity (DOI:10.111/j.1467-937x.2007.00463.x)," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(3), pages 985-985.
    14. Jean Pierre Huiban & Camilla Mastromarco & Antonio Musolesi & Michel Simioni, 2018. "Reconciling the Porter hypothesis with the traditional paradigm about environmental regulation: a nonparametric approach," Journal of Productivity Analysis, Springer, vol. 50(3), pages 85-100, December.
    15. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    16. Zélia Serrasqueiro & Paulo Maçãs Nunes, 2008. "Performance and size: empirical evidence from Portuguese SMEs," Small Business Economics, Springer, vol. 31(2), pages 195-217, August.
    17. Barros, Carlos Pestana & Wanke, Peter, 2015. "An analysis of African airlines efficiency with two-stage TOPSIS and neural networks," Journal of Air Transport Management, Elsevier, vol. 44, pages 90-102.
    18. Dhawan, Rajeev, 2001. "Firm size and productivity differential: theory and evidence from a panel of US firms," Journal of Economic Behavior & Organization, Elsevier, vol. 44(3), pages 269-293, March.
    19. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    20. Barrett, Christopher B. & Bellemare, Marc F. & Hou, Janet Y., 2010. "Reconsidering Conventional Explanations of the Inverse Productivity-Size Relationship," World Development, Elsevier, vol. 38(1), pages 88-97, January.
    21. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    22. S. Calligaris & M. Del Gatto & F. Hassan & G.I.P. Ottaviano & F. Schivardi, 2016. "Italy’s Productivity Conundrum. A Study on Resource Misallocation in Italy," European Economy - Discussion Papers 030, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    23. Taewoo You & Xiaoying Chen & Mark Holder, 2010. "Efficiency and its determinants in pharmaceutical industries: ownership, R&D and scale economy," Applied Economics, Taylor & Francis Journals, vol. 42(17), pages 2217-2241.
    24. Francesco Aiello & Valeria Pupo & Fernanda Ricotta, 2014. "Explaining Total Factor Productivity at Firm Level in Italy: Does Location Matter?," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(1), pages 51-70, March.
    25. Daouia, Abdelaati & Simar, Leopold, 2007. "Nonparametric efficiency analysis: A multivariate conditional quantile approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 375-400, October.
    26. Jaswinder Singh & Parminder Singh, 2014. "Decomposition of Technical Efficiency and Productivity Growth in Indian Pharmaceutical Industry: A Non-Parametric Analysis," Artha Vijnana, Gokhale Institute of Politics and Economics, vol. 56(4), pages 456-478.
    27. Matteo Bugamelli & Francesca Lotti & Monica Amici & Emanuela Ciapanna & Fabrizio Colonna & Francesco D�Amuri & Silvia Giacomelli & Andrea Linarello & Francesco Manaresi & Giuliana Palumbo & Filippo , 2018. "Productivity growth in Italy: a tale of a slow-motion change," Questioni di Economia e Finanza (Occasional Papers) 422, Bank of Italy, Economic Research and International Relations Area.
    28. Bădin, Luiza & Daraio, Cinzia & Simar, Léopold, 2012. "How to measure the impact of environmental factors in a nonparametric production model," European Journal of Operational Research, Elsevier, vol. 223(3), pages 818-833.
    29. Magdalena Kapelko, 2017. "Dynamic versus static inefficiency assessment of the Polish meat‐processing industry in the aftermath of the European Union integration and financial crisis," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 505-521, September.
    30. Wilson, Paul W., 2018. "Dimension reduction in nonparametric models of production," European Journal of Operational Research, Elsevier, vol. 267(1), pages 349-367.
    31. Yoon, Seok, 2004. "A note on the market structure and performance in Korean manufacturing industries," Journal of Policy Modeling, Elsevier, vol. 26(6), pages 733-746, September.
    32. Antonio Accetturo & Valter Di Giacinto & Giacinto Micucci & Marcello Pagnini, 2018. "Geography, productivity, and trade: Does selection explain why some locations are more productive than others?," Journal of Regional Science, Wiley Blackwell, vol. 58(5), pages 949-979, November.
    33. Julia I. Lane & John C. Haltiwanger & James Spletzer, 1999. "Productivity Differences across Employers: The Roles of Employer Size, Age, and Human Capital," American Economic Review, American Economic Association, vol. 89(2), pages 94-98, May.
    34. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2018. "Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non-parametric, two-stage models of production," LIDAM Reprints ISBA 2018023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    35. Peter Hall & Jeff Racine & Qi Li, 2004. "Cross-Validation and the Estimation of Conditional Probability Densities," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1015-1026, December.
    36. Joachim Wagner, 2006. "Exports, foreign direct investment, and productivity: evidence from German firm level data," Applied Economics Letters, Taylor & Francis Journals, vol. 13(6), pages 347-349.
    37. Sinuany-Stern, Zilla & Friedman, Lea, 1998. "DEA and the discriminant analysis of ratios for ranking units," European Journal of Operational Research, Elsevier, vol. 111(3), pages 470-478, December.
    38. Léopold Simar, 2003. "Detecting Outliers in Frontier Models: A Simple Approach," Journal of Productivity Analysis, Springer, vol. 20(3), pages 391-424, November.
    39. repec:nsr:niesrd:77 is not listed on IDEAS
    40. Ajit Singh & Geoffrey Whittington, 1975. "The Size and Growth of Firms," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 42(1), pages 15-26.
    41. Chudnovsky, Daniel & Lopez, Andres & Pupato, German, 2006. "Innovation and productivity in developing countries: A study of Argentine manufacturing firms' behavior (1992-2001)," Research Policy, Elsevier, vol. 35(2), pages 266-288, March.
    42. Boyd, Gale A. & Pang, Joseph X., 2000. "Estimating the linkage between energy efficiency and productivity," Energy Policy, Elsevier, vol. 28(5), pages 289-296, May.
    43. Daraio, Cinzia & Simar, Leopold, 2006. "A robust nonparametric approach to evaluate and explain the performance of mutual funds," European Journal of Operational Research, Elsevier, vol. 175(1), pages 516-542, November.
    44. Hart, Peter E & Oulton, Nicholas, 1996. "Growth and Size of Firms," Economic Journal, Royal Economic Society, vol. 106(438), pages 1242-1252, September.
    45. Elena Huergo & Jordi Jaumandreu, 2004. "How Does Probability of Innovation Change with Firm Age?," Small Business Economics, Springer, vol. 22(3_4), pages 193-207, April.
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