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2020 | 14 | nr 3 | 272--284
Tytuł artykułu

Measuring Wine Industry Efficiency with Wine Industry Network Evaluation Model (WINE-Model)

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We propose a group of indicators for the analysis of wine industry performance. We present a new model that analyzes the direct impact of wine industry productivity rate (Π*), the wine industry performance rate (ΔΠ), the wine cargo expansion rate (ΔΠ), and the wine industry technological change adaptability rate (φ) on wine industry network efficiency (WINE-Index). This new model, "The Wine Industry Network Evaluation Model (WINE-Model)" is intended to offer policy makers and researchers an additional analytical tool to study the impact of dynamic changes such as international trade trends and technological shocks on wine industry performance from a new perspective. The WINE-Model can be applied to the study of any wine industry and is not constrained by geographical area or development stage of the industry. The WINE-Model is thus simple, flexible, and versatile. We apply the model to the wine industries of Spain, Italy, France, Chile, Argentina, and Greece. Perhaps the WINE-Model's biggest strength is its ability to capture and measure industry performance from a dynamic perspective. (original abstract)
Rocznik
Tom
14
Numer
Strony
272--284
Opis fizyczny
Twórcy
  • University of Malaya, Malaysia
  • Asian Development Bank, Phillipines
  • National University of Singapore, Singapore
Bibliografia
  • Balakrishnan, P. & Pushpangadan, K. (1994). Total factor-productivity growth in manufacturing industry: A fresh look. Economic and Political Weekly, 29(31), 2028-2035.
  • Crozet, M., Head, K., & Mayer, T. (2012). Quality sorting and trade: Firm-level evidence for French wine. The Review of Economic Studies, 79(2), 609-644.
  • Olmos, M. F. (2010). The performance implications of "grow or buy" decisions in the wine industry. Food Policy, 35(3), 256-264.
  • Garcia, F. A., Marchetta, M. G., Camargo, M., Morel, L., & Forradellas, R. Q. (2012). A framework for measuring logistics performance in the wine industry. International Journal of Production Economics, 135(1), 284-298.
  • Hellenic Republic Ministry of Rural Development and Food. (2017, January 20). Wine statistics section.http://www.minagric.gr/index.php/en/
  • Mariani, A., Pomarici, E., & Boatto, V. (2012). The international wine trade: Recent trends and critical issues. Wine Economics and Policy, 1(1), 24-40.
  • Ministerio de Agricultura Española [Spanish Ministry of Agriculture] (2017, January 31). Wine statistics section. http://www.magrama.gob.es/es/
  • Ministero Delle Politiche Agricole Alimentari e Forestali. [Ministry of agriculture, food, and forest policy] (2017, January 25). Wine statistics section. http://www.politicheagricole.it/flex/cm/pages/ServeBLOB.php/L/IT/IDPagina/202
  • Ministere de'l Agriculture de'l Agroalimentaire [Ministry of Agriculture and Agro-Food] (2017, May 1). Wine statistics section. http://agriculture.gouv.fr/
  • Ministro de Agricultura Chileno [Chilean Ministry of Agriculture]. (2017, May 25). Wine statistics section. http://www.minagri.gob.cl/
  • Ministerio de Agricultura, Ganaderia, y Pesca Argentino [Argentinean Ministry of Agriculture, Cattle's, and Fishing]. (2017, June 25). Wine statistics section. http://www.minagri.gob.ar/site/index.php
  • Estrada, M. A. R., & Yap, S. F. (2006). The openness growth monitoring model (OGM-Model). Journal of Policy Modeling, 28(3), 235-246.
  • Estrada, M. A. R. (2011). Policy modeling: Definition, classification and evaluation. Journal of Policy Modeling, 33(4), 523-536.
  • Estrada, M. A. R., & Park, D. (2018). The past, present and future of policy modeling. Journal of Policy Modeling, 40(1), 1-15.
  • The Wine Institute. (2017, July 30). Wine statistics section. http://www.wineinstitute.org/resources/statistics
  • World Trade Organization. (2017, September 15). Wine statistics section. www.wto.org
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171603589

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