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Innovation, productivity and spillover effects in the Italian accommodation industry

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  • Bernini, Cristina
  • Galli, Federica

Abstract

This paper aims at providing new micro-economic insights on how the different sources of innovation, both internal and external to the firm, contribute to determining the economic performance of Italian hotels, extending the current literature on industrial agglomeration to the accommodation sector at the firm level. To achieve this goal, we use georeferenced data on the consolidated accounts of Italian hotels for the period 2011–2019 and we estimate a spatial stochastic frontier model. Our results indicate that the performance of Italian hotels is mainly boosted by skilled labour and qualified human resources considering internal factors. On the other hand, we find that the innovative activity performed by neighbouring hotels spreads across space generating both agglomeration and competition effects. Our findings can be useful for policy makers and accommodation managers to improve hotels’ production processes by taking advantage of innovative practices and spatial interactions.

Suggested Citation

  • Bernini, Cristina & Galli, Federica, 2023. "Innovation, productivity and spillover effects in the Italian accommodation industry," Economic Modelling, Elsevier, vol. 119(C).
  • Handle: RePEc:eee:ecmode:v:119:y:2023:i:c:s0264999322003820
    DOI: 10.1016/j.econmod.2022.106145
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    as
    1. Chia-Lin Chang & Thanchanok Khamkaew & Michael McAleer, 2012. "IV Estimation of a Panel Threshold Model of Tourism Specialization and Economic Development," Tourism Economics, , vol. 18(1), pages 5-41, February.
    2. Hjalager, Anne-Mette, 2010. "A review of innovation research in tourism," Tourism Management, Elsevier, vol. 31(1), pages 1-12.
    3. John Van Reenen & Rupert Harrison & Rachel Griffith, 2006. "How Special Is the Special Relationship? Using the Impact of U.S. R&D Spillovers on U.K. Firms as a Test of Technology Sourcing," American Economic Review, American Economic Association, vol. 96(5), pages 1859-1875, December.
    4. Rice, Patricia & Venables, Anthony J. & Patacchini, Eleonora, 2006. "Spatial determinants of productivity: Analysis for the regions of Great Britain," Regional Science and Urban Economics, Elsevier, vol. 36(6), pages 727-752, November.
    5. Drucker, Joshua & Feser, Edward, 2012. "Regional industrial structure and agglomeration economies: An analysis of productivity in three manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 1-14.
    6. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    7. Rafael La Porta & Andrei Shleifer, 2008. "The Unofficial Economy and Economic Development," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 39(2 (Fall)), pages 275-363.
    8. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    9. Sandro Montresor & Antonio Vezzani, 2016. "Intangible investments and innovation propensity: Evidence from the Innobarometer 2013," Industry and Innovation, Taylor & Francis Journals, vol. 23(4), pages 331-352, May.
    10. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2016. "Endogeneity in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 190(2), pages 280-288.
    11. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    12. Tsionas, Mike G. & Mallick, Sushanta K., 2019. "A Bayesian semiparametric approach to stochastic frontiers and productivity," European Journal of Operational Research, Elsevier, vol. 274(1), pages 391-402.
    13. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    14. Delgado, Mercedes & Porter, Michael E. & Stern, Scott, 2014. "Clusters, convergence, and economic performance," Research Policy, Elsevier, vol. 43(10), pages 1785-1799.
    15. Koch, Leonie & Simmler, Martin, 2020. "How important are local knowledge spillovers of public R&D and what drives them?," Munich Reprints in Economics 84759, University of Munich, Department of Economics.
    16. Jun Koo & Somik Lall, 2007. "New Economic Geography: Real or Hype?," International Regional Science Review, , vol. 30(1), pages 3-19, January.
    17. Tappeiner, Gottfried & Hauser, Christoph & Walde, Janette, 2008. "Regional knowledge spillovers: Fact or artifact?," Research Policy, Elsevier, vol. 37(5), pages 861-874, June.
    18. Marco-Lajara, Bartolomé & Zaragoza-Sáez, Patrocinio del Carmen & Claver-Cortés, Enrique & Úbeda-García, Mercedes, 2016. "Knowledge sources, agglomeration, and hotel performance," Journal of Business Research, Elsevier, vol. 69(11), pages 4856-4861.
    19. Wang, Hung-Jen & Ho, Chia-Wen, 2010. "Estimating fixed-effect panel stochastic frontier models by model transformation," Journal of Econometrics, Elsevier, vol. 157(2), pages 286-296, August.
    20. Nelson, Andrew J., 2009. "Measuring knowledge spillovers: What patents, licenses and publications reveal about innovation diffusion," Research Policy, Elsevier, vol. 38(6), pages 994-1005, July.
    21. Cabrer-Borras, Bernardi & Serrano-Domingo, Guadalupe, 2007. "Innovation and R&D spillover effects in Spanish regions: A spatial approach," Research Policy, Elsevier, vol. 36(9), pages 1357-1371, November.
    22. Lajili, Kaouthar & Zeghal, Daniel, 2006. "Market performance impacts of human capital disclosures," Journal of Accounting and Public Policy, Elsevier, vol. 25(2), pages 171-194.
    23. Ana Jiménez-Zarco & María Martínez-Ruiz & Alicia Izquierdo-Yusta, 2011. "Key service innovation drivers in the tourism sector: empirical evidence and managerial implications," Service Business, Springer;Pan-Pacific Business Association, vol. 5(4), pages 339-360, December.
    24. Giulio Cainelli & Roberto Ganau, 2018. "Distance-based agglomeration externalities and neighbouring firms’ characteristics," Regional Studies, Taylor & Francis Journals, vol. 52(7), pages 922-933, July.
    25. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    26. Richard C. Levin & Peter C. Reiss, 1988. "Cost-Reducing and Demand-Creating R&D with Spillovers," RAND Journal of Economics, The RAND Corporation, vol. 19(4), pages 538-556, Winter.
    27. Sydler, Renato & Haefliger, Stefan & Pruksa, Robert, 2014. "Measuring intellectual capital with financial figures: Can we predict firm profitability?," European Management Journal, Elsevier, vol. 32(2), pages 244-259.
    28. Wagner, Alfred, 1891. "Marshall's Principles of Economics," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 5, pages 319-338.
    29. 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.
    30. James D. Adams & Adam B. Jaffe, 1996. "Bounding the Effects of R&D: An Investigation Using Matched Establishment-Firm Data," RAND Journal of Economics, The RAND Corporation, vol. 27(4), pages 700-721, Winter.
    31. Dyah Wulan Sari & Noor Aini Khalifah & Suyanto Suyanto, 2016. "The spillover effects of foreign direct investment on the firms’ productivity performances," Journal of Productivity Analysis, Springer, vol. 46(2), pages 199-233, December.
    32. Keun Rhee & Hak Pyo, 2010. "Financial crisis and relative productivity dynamics in Korea: evidence from firm-level data (1992–2003)," Journal of Productivity Analysis, Springer, vol. 34(2), pages 111-131, October.
    33. Cristina Bernini & Andrea Guizzardi, 2010. "Internal and Locational Factors Affecting Hotel Industry Efficiency: Evidence from Italian Business Corporations," Tourism Economics, , vol. 16(4), pages 883-913, December.
    34. Anne Wyatt, 2010. "Forum: Investment in Human Capital: Management and Accounting Issues," Australian Accounting Review, CPA Australia, vol. 20(3), pages 195-198, September.
    35. Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2010. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," American Economic Review, American Economic Association, vol. 100(3), pages 1195-1213, June.
    36. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C., 2016. "A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers," Journal of Econometrics, Elsevier, vol. 190(2), pages 289-300.
    37. Marco-Lajara, Bartolomé & Claver-Cortés, Enrique & Úbeda-García, Mercedes & García-Lillo, Francisco & Zaragoza-Sáez, Patrocinio Carmen, 2019. "The role of internal knowledge generation and external knowledge acquisition in tourist districts," Journal of Business Research, Elsevier, vol. 101(C), pages 767-776.
    38. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    39. Konstantins Benkovskis, 2018. "Misallocation, productivity and fragmentation of production: the case of Latvia," Journal of Productivity Analysis, Springer, vol. 49(2), pages 187-206, June.
    40. Wakelin, Katharine, 1998. "Innovation and export behaviour at the firm level," Research Policy, Elsevier, vol. 26(7-8), pages 829-841, April.
    41. Marta Jacob & Carmen Florido & Eugeni Aguiló, 2010. "Research Note: Environmental Innovation as a Competitiveness Factor in the Balearic Islands," Tourism Economics, , vol. 16(3), pages 755-764, September.
    42. Haschka, Rouven E. & Herwartz, Helmut, 2020. "Innovation efficiency in European high-tech industries: Evidence from a Bayesian stochastic frontier approach," Research Policy, Elsevier, vol. 49(8).
    43. Stojcic, Nebojsa & Vojvodic, Katija & Butigan, Nikola, 2019. "Service innovations and firm performance in the hospitality industry: evidence from tourism driven economies," MPRA Paper 108648, University Library of Munich, Germany.
    44. Koch, Leonie & Simmler, Martin, 2020. "How important are local knowledge spillovers of public R&D and what drives them?," Research Policy, Elsevier, vol. 49(7).
    45. Audretsch, David B, 1998. "Agglomeration and the Location of Innovative Activity," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 14(2), pages 18-29, Summer.
    46. Sundbo, Jon & Orfila-Sintes, Francina & Sorensen, Flemming, 2007. "The innovative behaviour of tourism firms--Comparative studies of Denmark and Spain," Research Policy, Elsevier, vol. 36(1), pages 88-106, February.
    47. Leonie Koch & Martin Simmler, 2020. "How Important are Local Knowledge Spillovers of Public R&D and What Drives Them?," EconPol Working Paper 42, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    48. Spence, Michael, 1984. "Cost Reduction, Competition, and Industry Performance," Econometrica, Econometric Society, vol. 52(1), pages 101-121, January.
    49. Gaaitzen J. De Vries & Michael Koetter, 2011. "ICT Adoption and Heterogeneity in Production Technologies: Evidence for Chilean Retailers," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(4), pages 539-555, August.
    50. Juan Gabriel Brida & Isabel Cortes-Jimenez & Manuela Pulina, 2016. "Has the tourism-led growth hypothesis been validated? A literature review," Current Issues in Tourism, Taylor & Francis Journals, vol. 19(5), pages 394-430, April.
    51. Castiglione, Concetta & Infante, Davide, 2014. "ICTs and time-span in technical efficiency gains. A stochastic frontier approach over a panel of Italian manufacturing firms," Economic Modelling, Elsevier, vol. 41(C), pages 55-65.
    52. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    53. Schubert, Stefan Franz & Brida, Juan Gabriel & Risso, Wiston Adrián, 2011. "The impacts of international tourism demand on economic growth of small economies dependent on tourism," Tourism Management, Elsevier, vol. 32(2), pages 377-385.
    54. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    55. 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.
    56. Anne Wyatt & Hermann Frick, 2010. "Accounting for Investments in Human Capital: A Review," Australian Accounting Review, CPA Australia, vol. 20(3), pages 199-220, September.
    57. 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.
    58. Morakinyo Adetutu & Anthony Glass & Karligash Kenjegalieva & Robin Sickles, 2015. "The effects of efficiency and TFP growth on pollution in Europe: a multistage spatial analysis," Journal of Productivity Analysis, Springer, vol. 43(3), pages 307-326, June.
    59. George E. Battese, 1997. "A Note On The Estimation Of Cobb‐Douglas Production Functions When Some Explanatory Variables Have Zero Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 250-252, January.
    60. Chyi, Yih-Luan & Lai, Yee-Man & Liu, Wen-Hsien, 2012. "Knowledge spillovers and firm performance in the high-technology industrial cluster," Research Policy, Elsevier, vol. 41(3), pages 556-564.
    61. Hoi Le & Richard Pomfret, 2011. "Technology spillovers from foreign direct investment in Vietnam: horizontal or vertical spillovers?," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 16(2), pages 183-201.
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