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Crescita proporzionale e politiche pubbliche: proposte per una sintesi evolutiva

Author

Listed:
  • Massimo Riccaboni
  • Sandro Trento
  • Enrico Zaninotto

    () (DISA, Faculty of Economics, Trento University)

Abstract

Molte politiche pubbliche prendono a riferimento i valori medi di variabili economiche o sociali ritenute importanti (dimensione media d'impresa, produttività media, reddito medio, etc.) spesso con l'obiettivo di modificare il comportamento degli operatori (imprese e individui) e di produrre in questo modo un aumento del valore medio stesso. Di fronte all'insuccesso di queste politiche molti osservatori ritengono che la ragione sia nel cattivo disegno degli incentivi introdotti e quindi il problema pubblico è ridotto a una questione di mechanism design. In questo lavoro si parte dall'idea che un sistema di incentivi non ha solo effetti diretti sui comportamenti individuali ma interagisce con i fenomeni stessi che, in aggregato, hanno proprie leggi evolutive diverse dalla semplice somma degli effetti sui singoli. Attraverso la simulazione e l'analisi di tre esempi di fenomeni con crescita proporzionale (distribuzione del reddito, crescita dimensionale delle imprese e produzione di lavori di ricerca) questo lavoro intende suggerire che le politiche pubbliche dovrebbero tener conto anche degli effetti che esse producono sulle dinamiche aggregate (sulla struttura della distribuzione). Si tenta di identificare alcuni principi generali utili per progettare le politiche pubbliche.

Suggested Citation

  • Massimo Riccaboni & Sandro Trento & Enrico Zaninotto, 2009. "Crescita proporzionale e politiche pubbliche: proposte per una sintesi evolutiva," DISA Working Papers 0909, Department of Computer and Management Sciences, University of Trento, Italy, revised 30 Nov 2009.
  • Handle: RePEc:trt:disawp:0909
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    References listed on IDEAS

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    1. Rolfo Secondo, 1998. "L'industria italiana della meccanica strumentale di fronte alla globalizzazione: opportunità e limiti," L'industria, Società editrice il Mulino, issue 4, pages 881-894.
    2. Caudill, Steven B. & Ford, Jon M., 1993. "Biases in frontier estimation due to heteroscedasticity," Economics Letters, Elsevier, vol. 41(1), pages 17-20.
    3. Rolfo Secondo & Calabrese Giuseppe, 2006. "Struttura industriale e profili di competitività nella meccanica strumentale," L'industria, Società editrice il Mulino, issue 4, pages 603-622.
    4. Christian Ritter & Léopold Simar, 1997. "Pitfalls of Normal-Gamma Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 8(2), pages 167-182, May.
    5. 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.
    6. Erol Taymaz, 2005. "Are Small Firms Really Less Productive?," Small Business Economics, Springer, vol. 25(5), pages 429-445, December.
    7. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    8. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    9. Shleifer, Andrei & Vishny, Robert W, 1986. "Large Shareholders and Corporate Control," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 461-488, June.
    10. Karsten Bjerring Olsen, 2006. "Productivity Impacts of Offshoring and Outsourcing: A Review," OECD Science, Technology and Industry Working Papers 2006/1, OECD Publishing.
    11. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    12. Bojani, Antonio N. & Caudill, Steven B. & Ford, Jon M., 1998. "Small-sample properties of ML, COLS, and DEA estimators of frontier models in the presence of heteroscedasticity," European Journal of Operational Research, Elsevier, vol. 108(1), pages 140-148, July.
    13. Zhengfei Guan & Subal C. Kumbhakar & Robert J. Myers & Alfons Oude Lansink, 2005. "Measuring Excess Capital Capacity in Agricultural Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(3), pages 765-776.
    14. Jayesh Kumar, 2003. "Ownership Structure and Corporate Firm Performance," Finance 0304004, EconWPA.
    15. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    16. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    17. 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.
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    More about this item

    Keywords

    crescita proporzionale; politiche pubbliche; dimensione d'impresa; distribuzione del reddito; politiche per la ricerca; simulazioni;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D79 - Microeconomics - - Analysis of Collective Decision-Making - - - Other
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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