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Transient and Persistent Efficiency and Spatial Spillovers: Evidence from the Portuguese Wine Industry

Author

Listed:
  • Samuel Faria

    (Department of Economics, Sociology and Management (DESG), Centre for Transdisciplinary Development Studies (CETRAD), University of Trás-os-Montes and Alto Douro (UTAD), Quinta de Prados, 5001-801 Vila Real, Portugal)

  • Sofia Gouveia

    (Department of Economics, Sociology and Management (DESG), Centre for Transdisciplinary Development Studies (CETRAD), University of Trás-os-Montes and Alto Douro (UTAD), Quinta de Prados, 5001-801 Vila Real, Portugal)

  • Alexandre Guedes

    (Department of Economics, Sociology and Management (DESG), Centre for Transdisciplinary Development Studies (CETRAD), University of Trás-os-Montes and Alto Douro (UTAD), Quinta de Prados, 5001-801 Vila Real, Portugal)

  • João Rebelo

    (Department of Economics, Sociology and Management (DESG), Centre for Transdisciplinary Development Studies (CETRAD), University of Trás-os-Montes and Alto Douro (UTAD), Quinta de Prados, 5001-801 Vila Real, Portugal)

Abstract

This paper investigates the presence of spatial spillovers in firms’ productive (in)efficiency. For this purpose, a spatial stochastic frontier model is specified and estimated, accounting for spatial dependence and persistent and transient (in)efficiency. This approach is applied to a panel dataset from 2014 to 2019 of Portuguese wineries. Apart from the traditional input and output quantities used in the estimation of a production function, the novelty of this study is the inclusion of information on the firms’ exact location, which allows incorporating the neighboring dependence in the productive efficiency analysis. Empirical findings show that despite the Portuguese wineries’ technological positive dependence on spatial closeness for both inputs and outputs, the geographic closeness is not strong enough to provide overall productive efficiency gains.

Suggested Citation

  • Samuel Faria & Sofia Gouveia & Alexandre Guedes & João Rebelo, 2021. "Transient and Persistent Efficiency and Spatial Spillovers: Evidence from the Portuguese Wine Industry," Economies, MDPI, vol. 9(3), pages 1-20, August.
    • Handle: RePEc:gam:jecomi:v:9:y:2021:i:3:p:116-:d:616903
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    References listed on IDEAS

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    1. Levent Kutlu & Usha Nair-Reichert, 2019. "Agglomeration effects and spatial spillovers in efficiency analysis: a distribution-free methodology," Regional Studies, Taylor & Francis Journals, vol. 53(11), pages 1565-1574, November.
    2. Manh Pham & Léopold Simar & Valentin Zelenyuk, 2024. "Statistical Inference for Aggregation of Malmquist Productivity Indices," Operations Research, INFORMS, vol. 72(4), pages 1615-1629, July.
    3. Jacopo Canello & Francesco Vidoli, 2020. "Investigating space‐time patterns of regional industrial resilience through a micro‐level approach: An application to the Italian wine industry," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 653-676, September.
    4. Subal C. Kumbhakar & Almas Heshmati, 1995. "Efficiency Measurement in Swedish Dairy Farms: An Application of Rotating Panel Data, 1976–88," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 660-674.
    5. MCarmen Martínez‐Victoria & Mariluz Maté‐Sánchez‐Val & Alfons Oude Lansink, 2019. "Spatial dynamic analysis of productivity growth of agri‐food companies," Agricultural Economics, International Association of Agricultural Economists, vol. 50(3), pages 315-327, May.
    6. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    7. Raymond J. Kopp, 1981. "The Measurement of Productive Efficiency: A Reconsideration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 96(3), pages 477-503.
    8. Morrison, Andrea & Rabellotti, Roberta, 2017. "Gradual catch up and enduring leadership in the global wine industry," Research Policy, Elsevier, vol. 46(2), pages 417-430.
    9. Macedo, Anthony & Gouveia, Sofia & Rebelo, João, 2020. "Horizontal Differentiation and Determinants of Wine Exports: Evidence from Portugal," Journal of Wine Economics, Cambridge University Press, vol. 15(2), pages 163-180, May.
    10. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    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. Erniel B. Barrios & Rouselle F. Lavado, 2010. "Spatial Stochastic Frontier Models," Microeconomics Working Papers 23091, East Asian Bureau of Economic Research.
    13. 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.
    14. Pokharel, Shree B., 2018. "Wine Industry Campaign Contributions and Wine Excise Taxes: Evidence from U.S. States," Journal of Wine Economics, Cambridge University Press, vol. 13(1), pages 3-19, February.
    15. Tsukamoto, Takahiro, 2019. "A spatial autoregressive stochastic frontier model for panel data incorporating a model of technical inefficiency," Japan and the World Economy, Elsevier, vol. 50(C), pages 66-77.
    16. Jean François Outreville, 2016. "Foreign affiliates of the multinational firms in the wine and spirits industry: location-specific advantages and cultural distance," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 12(4), pages 274-294.
    17. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    18. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    19. Vidoli, Francesco & Cardillo, Concetta & Fusco, Elisa & Canello, Jacopo, 2016. "Spatial nonstationarity in the stochastic frontier model: An application to the Italian wine industry," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 153-164.
    20. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107029514, January.
    21. Adeline Alonso Ugaglia & Jean-Marie Cardebat & Alessandro Corsi (ed.), 2019. "The Palgrave Handbook of Wine Industry Economics," Springer Books, Springer, number 978-3-319-98633-3, April.
    22. Valerien O. Pede & Francisco J. Areal & Alphonse Singbo & Justin McKinley & Kei Kajisa, 2018. "Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 301-312, May.
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