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Explaining bilateral patterns of global wine trade, 1962–2019

Published online by Cambridge University Press:  05 December 2022

German Puga Open the ORCID record for German Puga [Opens in a new window] ,
Alfinura Sharafeyeva  and
Kym Anderson Open the ORCID record for Kym Anderson [Opens in a new window]
German Puga*
Affiliation:
Centre for Global Food and Resources, School of Economics and Public Policy, University of Adelaide, Adelaide SA 5005, Australia Wine Economics Research Centre, School of Economics and Public Policy, University of Adelaide, Adelaide SA 5005, Australia
Alfinura Sharafeyeva
Affiliation:
Centre for Global Food and Resources, School of Economics and Public Policy, University of Adelaide, Adelaide SA 5005, Australia
Kym Anderson
Affiliation:
Wine Economics Research Centre, School of Economics and Public Policy, University of Adelaide, Adelaide SA 5005, Australia Crawford School of Public Policy, Australian National University, Canberra ACT 2601, Australia
*
Corresponding author: German Puga, email: [email protected]
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Abstract

This study uses gravity models to explain bilateral patterns of global wine trade since 1962. This is, to our knowledge, the first study on global wine trade covering the second wave of globalization as a whole. The results suggest that the impact of distance, common language, and common colonizer post-1945 on wine trade was lower in the 1991–2019 period than in the 1962–1990 period. We also use gravity models to explain the impact on bilateral wine trade patterns of similarities across countries in the mix of winegrape varieties in their vineyards. Although our models do not allow us to identify causality, the results suggest that countries trade more wine with each other the closer their mix of winegrape varieties.

Keywords

gravity modelsecond wave of globalizationvarietal similarity indexwine tradeF14Q17
Type
Article
Information
Journal of Wine Economics , Volume 17 , Issue 4 , November 2022 , pp. 338 - 344
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of American Association of Wine Economists

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References

Anderson, K. (2010). Varietal intensities and similarities of the world's wine regions. Journal of Wine Economics, 5(2), 270–309.CrossRefGoogle Scholar
Anderson, K., and Nelgen, S. (2020). Database of Regional, National and Global Winegrape Bearing Areas by Variety, 1960 to 2016. Wine Economics Research Centre, University of Adelaide. Freely available in Excel at https://economics.adelaide.edu.au/wine-economics/databases.Google Scholar
Anderson, K., and Pinilla, V. (2021). Annual Database of Global Wine Markets, 1835 to 2019. Wine Economics Research Centre, University of Adelaide. Freely available in Excel at https://economics.adelaide.edu.au/wine-economics/databases#annual-database-of-global-wine-markets-1835-to-2019.Google Scholar
Anderson, K., and Pinilla, V. (2022). Wine's belated globalization, 1845 to 2025. Applied Economic Perspectives and Policy, 44(2), 742–765.CrossRefGoogle Scholar
Anderson, J. E., and van Wincoop, E. (2004). Trade costs. Journal of Economic Literature, 42(3), 691–751.CrossRefGoogle Scholar
Ayuda, M.-I., Ferrer-Pérez, H., and Pinilla, V. (2020). Explaining world wine exports in the first wave of globalization, 1848–1938. Journal of Wine Economics, 15(3), 263–283.CrossRefGoogle Scholar
Balogh, J. M., and Jámbor, A. (2018). The role of culture, language and trade agreements in global wine trade. Agris on-line Papers in Economics and Informatics, 10(3), 17–29.CrossRefGoogle Scholar
Borchert, I., and Yotov, Y. V. (2017). Distance, globalization, and international trade. Economics Letters, 153, 32–38.CrossRefGoogle Scholar
Broda, C., and Weinstein, D. E. (2004). Variety growth and world welfare. The American Economic Review, 94(2), 139–145.CrossRefGoogle Scholar
Dal Bianco, A., Boatto, V. L., Caracciolo, F., and Santeramo, F. G. (2016). Tariffs and non-tariff frictions in the world wine trade. European Review of Agricultural Economics, 43(1), 31–57.CrossRefGoogle Scholar
Friberg, R., Paterson, R. W., and Richardson, A. D. (2011). Why is there a home bias? A case study of wine. Journal of Wine Economics, 6(1), 37–66.CrossRefGoogle Scholar
Head, K., and Mayer, T. (2014). Gravity equations: Workhorse, toolkit, and cookbook. In Gopinath, G., Helpman, E., and Rogoff, K. (eds.), Handbook of International Economics, 131–195. Amsterdam, Netherlands: Elsevier B.V.Google Scholar
Heid, B., Larch, M., and Yotov, Y. V. (2021). Estimating the effects of non-discriminatory trade policies within structural gravity models. The Canadian Journal of Economics, 54(1), 376–409.CrossRefGoogle Scholar
Krugman, P. (1980). Scale economies, product differentiation, and the pattern of trade. The American Economic Review, 70(5), 950–959.Google Scholar
Olivero, M. P., and Yotov, Y. V. (2012). Dynamic gravity: Endogenous country size and asset accumulation. The Canadian Journal of Economics, 45(1), 64–92.CrossRefGoogle Scholar
Santeramo, F. G., Lamonaca, E., Nardone, G., and Seccia, A. (2019). The benefits of country-specific non-tariff measures in world wine trade. Wine Economics and Policy, 8(1), 28–37.CrossRefGoogle Scholar
Santos Silva, J. M. C., and Tenreyro, S. (2006). The log of gravity. The Review of Economics and Statistics, 88(4), 641–658.CrossRefGoogle Scholar
Santos Silva, J. M. C., and Tenreyro, S. (2011). Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator. Economics Letters, 112(2), 220–222.CrossRefGoogle Scholar
Trefler, D. (2004). The long and short of the Canada-U.S. free trade agreement. The American Economic Review, 94(4), 870–895.CrossRefGoogle Scholar
Wittwer, G., and Anderson, K. (2020). A model of global beverage markets. Journal of Wine Economics, 15(3), 330–354.CrossRefGoogle Scholar
Wittwer, G., and Anderson, K. (2021). COVID-19 and global beverage markets: Implications for wine. Journal of Wine Economics, 16(2), 117–130.CrossRefGoogle Scholar
Yotov, Y. V., Piermartini, R., Monteiro, J.-A., and Larch, M. (2017). An Advanced Guide to Trade Policy Analysis: The Structural Gravity Model. New York, NY and Geneva, Switzerland: United Nations and World Trade Organization.Google Scholar