This paper analyses, in a two-step procedure, the productivity growth of 69 Spanish wineries (period 1998-2022) which offer tourism activities at their installations. To do so, we firstly calculate the total factor productivity (TFP) change using a directional distance function (DDF) and the Luenberger-Hicks-Moorsteen (LHM) TFP indicator introduced by Ang and Kerstens (2017), which allows us to correctly distinguish between technological change (TC), technical inefficiency change (TINC) and scale inefficiency change (SINC). Although a high efficiency is found in median terms, productivity decreased during the period in cumulative terms. This is explained by two contrasting forces: a positive TINC and SINC, and a negative TC. In a second step, we analyse the effect of some factors on TFP change and its components using a dynamic panel data model. Several practical implications are proposed based on these outcomes.
ACEVIN and Spanish Wine Routes (2023a) Análisis de la demanda turística Rutas del Vino de España año 2022-2023. Technical Report, ACEVIN (Spanish Association of Wine Cities), Spanish Wine Routes and State Secretariat for Tourism of Spanish Goverment.
2.
ACEVIN and Spanish Wine Routes (2023b) Informe de visitantes a bodegas y museos del vino. Technical Report, ACEVIN (Spanish Association of Wine Cities), Spanish Wine Routes and State Secretariat for Tourism of Spanish Goverment.
3.
AignerDLovellCAKSchmidtP (1977) Formulation and estimation of stochastic frontier production function models. Journal of Econometrics6(1): 21–37.
4.
AngFKerstensPJ (2017) Decomposing the Luenberger–Hicks–Moorsteen total factor productivity indicator: an application to US agriculture. European Journal of Operational Research260(1): 359–375.
5.
AparicioJBorrasFPastorJT, et al. (2013) Accounting for slacks to measure and decompose revenue efficiency in the Spanish Designation of Origin wines with Dea. European Journal of Operational Research231(2): 443–451.
6.
ArellanoMBondS (1991) Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies58(2): 277–297.
7.
AssafAGTsionasM (2018) Measuring hotel performance: toward more rigorous evidence in both scope and methods. Tourism Management69: 69–87.
8.
AssafABarrosCPJosiassenA (2010) Hotel efficiency: a bootstrapped metafrontier approach. International Journal of Hospitality Management29(3): 468–475.
9.
AssafAGTsionasMKockF, et al. (2021) A Bayesian non-parametric stochastic frontier model. Annals of Tourism Research87: 103116.
10.
BahriniR (2015) Productivity of MENA Islamic banks: a bootstrapped Malmquist index approach. International Journal of Islamic and Middle Eastern Finance and Management8(4): 508–528.
11.
BankerRDCharnesACooperWW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science30(9): 1078–1092.
12.
BarrosCPSantosJ (2007) Comparing the productive efficiency of cooperatives and private enterprises: the Portuguese wine industry as a case study. Journal of Rural Cooperation35(2): 109–122.
13.
BlundellRBondS (1998) Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics87(1): 115–143.
14.
BrandanoMDetottoCVanniniM (2012) Comparative efficiency of producer cooperatives and conventional firms in a sample of quasi-twin companies. Technical report, Centre for North South Economic Research, University of Cagliari and Sassari.
15.
Camino-MogroSBermudez-BarrezuetaN (2021) Productivity determinants in the construction sector in emerging country: new evidence from Ecuadorian firms. Review of Development Economics25(4): 2391–2413.
16.
CarvalhoMLDSHenriquesPDDSCostaF, et al. (2008) Characterization and technical efficiency of Portuguese wine farms. In: In proceedings do XII Congress of the European Association of Agricultural Economists (26 a 29 de Agosto, Ghent, Bélgica).
17.
CavesDWChristensenLRDiewertW (1982) The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica50(6): 1393–1414.
18.
ChambersRG (1996) A new look at exact input, output, productivity, and technical change measurement. Technical report, University of Maryland, Department of Agricultural and Resource Economics.
19.
ChambersRGPopeRD (1996) Aggregate productivity measures. American Journal of Agricultural Economics78(5): 1360–1365.
CharnesACooperWWRhodesE (1978) Measuring the efficiency of decision making units. European Journal of Operational Research2(6): 429–444.
22.
CoelliTSandersO (2013) The technical efficiency of wine grape growers in the Murray-Darling Basin in Australia. In: Wine Economics: Quantitative Studies and Empirical Applications. New York, NY: Springer, 231–249.
23.
ConradieBCooksonGThirtleC (2006) Efficiency and farm size in western Cape grape production: Pooling small datasets. South African Journal of Economics74(2): 334–343.
24.
CrespiGCriscuoloCHaskelJ (2008) Productivity, exporting, and the learning-by-exporting hypothesis: direct evidence from UK firms. Canadian Journal of Economics/Revue canadienne d’économique41(2): 619–638.
25.
Da Silva CarvalhoMLHenriquesPDDSde Sousa FragosoRM (2009) Technical efficiency of Portuguese wine farms. New Medit: Mediterranean Journal of Economics, Agriculture and Environment= Revue Méditerranéenne d’Economie Agriculture et Environment8(1): 4.
26.
EmrouznejadAPetridisKCharlesV, et al. (2023) Data Envelopment Analysis with GAMS: A Handbook on Productivity Analysis and Performance Measurement. New York, NY: Springer.
27.
FalavignaGIppolitiRManelloA, et al. (2015) Judicial productivity, delay and efficiency: a directional distance function (DDF) approach. European Journal of Operational Research240(2): 592–601.
28.
FlemingEMounterSGrantB, et al. (2014) The New World challenge: performance trends in wine production in major wine-exporting countries in the 2000s and their implications for the Australian wine industry. Wine Economics and Policy3(2): 115–126.
29.
GiménezFVCiuranaJTPBorrasF, et al. (2013) Efficiency analysis of the designations of origin in the Spanish wine sector. Spanish Journal of Agricultural Research11(2): 294–304.
30.
HamidSWangK (2022) Environmental total factor productivity of agriculture in South Asia: a generalized decomposition of Luenberger-Hicks-Moorsteen productivity indicator. Journal of Cleaner Production351: 131483.
31.
HarrisRMoffatJ (2015) Plant-level determinants of total factor productivity in Great Britain, 1997–2008. Journal of Productivity Analysis44: 1–20.
32.
International Organisation of Vine and Wine (2023) State of the World Vine and Wine sector in 2022. Technical report, International Organisation of Vine and Wine.
33.
JiménezJLOrtuñoAPérez-RodríguezJV (2022) How does Airbnb affect local Spanish tourism markets?Empirical Economics62(5): 2515–2545.
34.
JreisatAHassanHShankarS (2018) Determinants of the productivity change for the banking sector in Egypt. In: Global Tensions in Financial Markets. Bingley, UK: Emerald Publishing Limited, 89–116.
35.
Manevska-TasevskaGHanssonH (2010) Influence of rural development policy targets on farm efficiency: an efficiency study of labour intensive grape growing family farms. In: IAMO Forum 2010: Institutions in Transition–Challenges for New Modes of Governance. Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
Martínez-FalcóJMarco-LajaraBZaragoza-SáezPd. C, et al. (2023) Wine tourism in Spain: the economic impact derived from visits to wineries and museums on wine routes. Investigaciones Turísticas1(25): 168–195.
38.
MeeusenWvan Den BroeckJ (1977) Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review18: 435–444.
39.
MoreiraVHTroncosoJLBravo-UretaBE (2011) Technical efficiency for a sample of Chilean wine grape producers: a stochastic production frontier analysis. Ciencia e investigación agraria38(3): 321–329.
40.
O’DonnellCJ (2012) An aggregate quantity framework for measuring and decomposing productivity change. Journal of Productivity Analysis38: 255–272.
41.
Pérez-RodríguezJVAcosta-GonzálezE (2023) The impact of ownership and size heterogeneity on hotel efficiency in the Canary Islands (Spain). Tourism Economics29(1): 3–29.
42.
PomariciESardoneR (2020) EU wine policy in the framework of the CAP: post-2020 challenges. Agricultural and Food Economics8: 17–40.
43.
SantosMMarta-CostaASantosCet al. (2018) Efficiency of wine grape growers at farm level: a case study. In: E3S Web of Conferences, June2018, Zaragoza (Spain). EDP Sciences, Vol. 50. https://doi.org/10.1051/e3sconf/20185001010.
44.
SantosMQDRodríguezXAMarta-CostaA (2020) Efficiency analysis of viticulture systems in the Portuguese Douro region. International Journal of Wine Business Research32(4): 573–591.
45.
SellersRAlampi-SottiniV (2016) The influence of size on winery performance: evidence from Italy. Wine Economics and Policy5(1): 33–41.
46.
Sellers-RubioR (2010) Evaluating the economic performance of Spanish wineries. International Journal of Wine Business Research22(1): 73–84.
47.
Sellers-RubioRMás-RuizFJ (2015) Economic efficiency of members of protected designations of origin: sharing reputation indicators in the experience goods of wine and cheese. Review of Managerial Science9: 175–196.
48.
Sellers-RubioRAlampi SottiniVMenghiniS (2016) Productivity growth in the winery sector: evidence from Italy and Spain. International Journal of Wine Business Research28(1): 59–75.
49.
SongHWittSF (2000) Tourism Demand Modelling and Forecasting: Modern Econometric Approaches. Amsterdam: Pergamon.
50.
TangLHeG (2021) How to improve total factor energy efficiency? An empirical analysis of the Yangtze River economic belt of China. Energy235: 121375.
51.
TóthJGálP (2014) Is the New Wine World more efficient? Factors influencing technical efficiency of wine production. Studies in Agricultural Economics116(2): 95–99.
52.
TownsendRFKirstenJVinkN (1998) Farm size, productivity and returns to scale in agriculture revisited: a case study of wine producers in South Africa. Agricultural Economics19(1-2): 175–180.
53.
TsionasMGPolemisML (2019) On the estimation of total factor productivity: a novel Bayesian non-parametric approach. European Journal of Operational Research277(3): 886–902.
54.
UrsoATimpanaroGCaraccioloF, et al. (2018) Efficiency analysis of Italian wine producers. Wine Economics and Policy7(1): 3–12.
55.
WindmeijerF (2005) A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics126(1): 25–51.
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