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La spesa sanitaria delle Regioni in Italia - Saniregio 2015

Author

Listed:
  • Fabio Pammolli

    () (Politecnico di Milano and CERM Foundation - Competitività, Regole, Mercati)

  • Francesco Porcelli

    () (Department of Economics Business School University of Exeters and CERM Foundation - Competitività, Regole, Mercati)

  • Francesco Vidoli

    () (Dipartimento di Istituzioni Pubbliche Economia e Società Università degli Studi di Roma 3 and CERM Foundation - Competitività, Regole, Mercati)

  • Guido Borà

    () (Dipartimento di Scienze Politiche e Cognitive Università degli Studi di Siena and CERM Foundation - Competitività, Regole, Mercati)

Abstract

Saniregio 2015 fornisce un'analisi della spesa sanitaria corrente delle singole Regioni italiane. Introduciamo un meccanismo di calcolo del fabbisogno standard basato sulla stima di una funzione di spesa, un modello empirico derivato dalla funzione di costo dei servizi sanitari, che vede come variabile dipendente la spesa storica corrente di ogni Regione e tra i principali driver del fabbisogno variabili di contesto socio-economico, con un ruolo fondamentale giocato dalla numerosità e dalla composizione per età della popolazione residente. Tra le principali novità metodologiche di Saniregio 2015, oltre alla popolazione, tra i principali driver dei fabbisogni standard, sono state inserite due variabili che misurano la quota di spesa riconducibile all'adeguatezza dei servizi erogati e all'efficienza con cui questi ultimi sono stati prodotti.

Suggested Citation

  • Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Guido Borà, 2015. "La spesa sanitaria delle Regioni in Italia - Saniregio 2015," Working Papers CERM 01-2015, Competitività, Regole, Mercati (CERM), revised 04 Jan 2016.
  • Handle: RePEc:ern:wpaper:01-2015
    Note: In queste pagine possono essere consultati i principali risultati del paper in maniera dinamica e interattiva: http://www.cermlab.it/SaniRegio2015/
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    as
    1. Margherita Giannoni & Theodore Hitiris, "undated". "The Regional Impact of Health Care Expenditure: the Case of Italy," Discussion Papers 99/20, Department of Economics, University of York.
    2. Meena Seshamani & Alastair Gray, 2004. "Ageing and health-care expenditure: the red herring argument revisited," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 303-314.
    3. Brigitte Dormont & Michel Grignon & Hélène Huber, 2006. "Health expenditure growth: reassessing the threat of ageing," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 947-963.
    4. Royston, G. H. D. & Hurst, J. W. & Lister, E. G. & Stewart, P. A., 1992. "Modelling the use of health services by populations of small areas to inform the allocation of central resources to larger regions," Socio-Economic Planning Sciences, Elsevier, vol. 26(3), pages 169-180, July.
    5. P.C. Smith, 2002. "Measuring health system performance," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 3(3), pages 145-148, September.
    6. Laurens Cherchye & Wim Moesen & Tom Puyenbroeck, 2004. "Legitimately Diverse, yet Comparable: On Synthesizing Social Inclusion Performance in the EU," Journal of Common Market Studies, Wiley Blackwell, vol. 42(5), pages 919-955, December.
    7. Pedro Pita Barros, 1998. "The black box of health care expenditure growth determinants," Health Economics, John Wiley & Sons, Ltd., vol. 7(6), pages 533-544.
    8. Jennifer Roberts, 2000. "Spurious regression problems in the determinants of health care expenditure: a comment on Hitiris (1997)," Applied Economics Letters, Taylor & Francis Journals, vol. 7(5), pages 279-283.
    9. Eddy van Doorslaer & Xander Koolman, 2004. "Explaining the differences in income-related health inequalities across European countries," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 609-628.
    10. Felder, Stefan & Meier, Markus & Schmitt, Horst, 2000. "Health care expenditure in the last months of life," Journal of Health Economics, Elsevier, vol. 19(5), pages 679-695, September.
    11. Ilaria Mosca, 2007. "Decentralization as a determinant of health care expenditure: empirical analysis for OECD countries," Applied Economics Letters, Taylor & Francis Journals, vol. 14(7), pages 511-515.
    12. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    13. George Karatzas, 2000. "On the determination of the US aggregate health care expenditure," Applied Economics, Taylor & Francis Journals, vol. 32(9), pages 1085-1099.
    14. Sally C. Stearns & Edward C. Norton, 2004. "Time to include time to death? The future of health care expenditure predictions," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 315-327.
    15. Despotis, D.K., 2005. "Measuring human development via data envelopment analysis: the case of Asia and the Pacific," Omega, Elsevier, vol. 33(5), pages 385-390, October.
    16. Breyer, Friedrich & Felder, Stefan, 2006. "Life expectancy and health care expenditures: A new calculation for Germany using the costs of dying," Health Policy, Elsevier, vol. 75(2), pages 178-186, January.
    17. 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.
    18. Joseph P. Newhouse, 1992. "Medical Care Costs: How Much Welfare Loss?," Journal of Economic Perspectives, American Economic Association, vol. 6(3), pages 3-21, Summer.
    19. Cho, Cheol-Joo, 1998. "An equity-efficiency trade-off model for the optimum location of medical care facilities," Socio-Economic Planning Sciences, Elsevier, vol. 32(2), pages 99-112, June.
    20. Park, Byeong U. & Sickles, Robin C. & Simar, Leopold, 2007. "Semiparametric efficient estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 136(1), pages 281-301, January.
    21. 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.
    22. Fabio Pammolli & Nicola Carmine Salerno, 2011. "Le differenze regionali nella governance della spesa sanitaria - SaniRegio-2011," Working Papers CERM 02-2011, Competitività, Regole, Mercati (CERM).
    23. Pasquale De Muro & Matteo Mazziotta & Adriano Pareto, 2011. "Composite Indices of Development and Poverty: An Application to MDGs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 104(1), pages 1-18, October.
    24. Andreas Werblow & Stefan Felder & Peter Zweifel, 2007. "Population ageing and health care expenditure: a school of 'red herrings'?," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1109-1126.
    25. Blomqvist, A. G. & Carter, R. A. L., 1997. "Is health care really a luxury?," Journal of Health Economics, Elsevier, vol. 16(2), pages 207-229, April.
    26. repec:dau:papers:123456789/3881 is not listed on IDEAS
    27. Okunade, Albert A. & Murthy, Vasudeva N. R., 2002. "Technology as a 'major driver' of health care costs: a cointegration analysis of the Newhouse conjecture," Journal of Health Economics, Elsevier, vol. 21(1), pages 147-159, January.
    28. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    29. Atella, Vincenzo & Belotti, Federico & Depalo, Domenico & Piano Mortari, Andrea, 2014. "Measuring spatial effects in the presence of institutional constraints: The case of Italian Local Health Authority expenditure," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 232-241.
    30. Di Matteo, Livio, 2005. "The macro determinants of health expenditure in the United States and Canada: assessing the impact of income, age distribution and time," Health Policy, Elsevier, vol. 71(1), pages 23-42, January.
    31. Jenni Pääkkönen & Timo T. Seppälä, 2014. "Using composite indicators to evaluate the efficiency of health care system," Applied Economics, Taylor & Francis Journals, vol. 46(19), pages 2242-2250, July.
    32. Francesco Vidoli & Giancarlo Ferrara, 2015. "Analyzing Italian citrus sector by semi-nonparametric frontier efficiency models," Empirical Economics, Springer, vol. 49(2), pages 641-658, September.
    33. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
    34. Andrew Johnson & Timo Kuosmanen, 2011. "One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient, root-n consistent StoNEZD method," Journal of Productivity Analysis, Springer, vol. 36(2), pages 219-230, October.
    35. Ronny Vallejos, 2008. "Assessing the association between two spatial or temporal sequences," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(12), pages 1323-1343.
    36. Evans, R.G. & Stoddart, G.L., 1990. "Producing Health, Consuming Health Care," Centre for Health Services and Policy Research 90:13r, University of British Columbia - Centre for Health Services and Policy Research..
    37. Gerdtham, Ulf-G., 1993. "The impact of aging on health care expenditure in Sweden," Health Policy, Elsevier, vol. 24(1), pages 1-8, April.
    38. Hitiris, Theo & Posnett, John, 1992. "The determinants and effects of health expenditure in developed countries," Journal of Health Economics, Elsevier, vol. 11(2), pages 173-181, August.
    39. Peter Zweifel & Stefan Felder & Markus Meiers, 1999. "Ageing of population and health care expenditure: a red herring?," Health Economics, John Wiley & Sons, Ltd., vol. 8(6), pages 485-496.
    40. Pauly, Mark V, 1986. "Taxation, Health Insurance, and Market Failure in the Medical Economy," Journal of Economic Literature, American Economic Association, vol. 24(2), pages 629-675, June.
    41. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    42. Wolfgang Polasek & Richard Sellner, 2008. "Spatial Chow-Lin Methods: Bayesian And Ml Forecast Comparisons," Working Paper series 38_08, Rimini Centre for Economic Analysis.
    43. Helmut Herwartz & Bernd Theilen, 2003. "The determinants of health care expenditure: testing pooling restrictions in small samples," Health Economics, John Wiley & Sons, Ltd., vol. 12(2), pages 113-124.
    44. Cherchye, Laurens & Knox Lovell, C.A. & Moesen, Wim & Van Puyenbroeck, Tom, 2007. "One market, one number? A composite indicator assessment of EU internal market dynamics," European Economic Review, Elsevier, vol. 51(3), pages 749-779, April.
    45. Di Matteo, Livio & Di Matteo, Rosanna, 1998. "Evidence on the determinants of Canadian provincial government health expenditures: 1965-1991," Journal of Health Economics, Elsevier, vol. 17(2), pages 211-228, April.
    46. De Witte, K. & Rogge, N., 2009. "Accounting for exogenous influences in a benevolent performance evaluation of teachers," Working Papers 15, Top Institute for Evidence Based Education Research.
    47. 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.
    48. Evans, Robert G. & Stoddart, Gregory L., 1990. "Producing health, consuming health care," Social Science & Medicine, Elsevier, vol. 31(12), pages 1347-1363, January.
    49. Monica Auteri & Mauro Costantini, 2004. "Is social protection a necessity or a luxury good? New multivariate cointegration panel data results," Applied Economics, Taylor & Francis Journals, vol. 36(17), pages 1887-1898.
    50. 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.
    51. R Evans & G Stoddart, 1990. "Producing Health, Consuming Health Care," Centre for Health Economics and Policy Analysis Working Paper Series 1990-06, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
    52. Paolo Polinori & Carlo Andrea Bollino, 2007. "Ricostruzione del valore aggiunto su scala comunale e percorsi di crescita a livello micro-territoriale: il caso dell'Umbria," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2007(2), pages 35-73.
    53. Hugh Gravelle & Matthew Sutton & Stephen Morris & Frank Windmeijer & Alastair Leyland & Chris Dibben & Mike Muirhead, 2003. "Modelling supply and demand influences on the use of health care: implications for deriving a needs-based capitation formula," Health Economics, John Wiley & Sons, Ltd., vol. 12(12), pages 985-1004.
    54. Theo Hitiris, 1997. "Health care expenditure and integration in the countries of the European Union," Applied Economics, Taylor & Francis Journals, vol. 29(1), pages 1-6.
    55. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    56. 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.
    57. Margherita Giannoni & Theodore Hitiris, 2002. "The regional impact of health care expenditure: the case of Italy," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1829-1836.
    58. Storrie, Donald & Bjurek, Hans, 2000. "Benchmarking European labour market performance with efficiency frontier techniques," Discussion Papers, Research Unit: Labor Market Policy and Employment FS I 00-211, WZB Berlin Social Science Center.
    59. Nigel Rice & Peter Smith, 1999. "Approaches to capitation and risk adjustment in health care: an international survey," Working Papers 038cheop, Centre for Health Economics, University of York.
    60. Luca Crivelli & Massimo Filippini & Ilaria Mosca, 2006. "Federalism and regional health care expenditures: an empirical analysis for the Swiss cantons," Health Economics, John Wiley & Sons, Ltd., vol. 15(5), pages 535-541.
    61. Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.
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    More about this item

    Keywords

    federalismo; spesa sanitaria; piani di rientro; riparto fsn; proiezioni; regioni; sostenibilità; demografia; finanza pubblica; efficientamento spesa pubblica;

    JEL classification:

    • D60 - Microeconomics - - Welfare Economics - - - General
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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