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|Publication type:||Article in scientific journal|
|Type of review:||Peer review (publication)|
|Title:||Data of national dishes in the developed and developing countries in the world : their similarity and trade flows|
|Authors:||Wunderlich, Anne C.|
|Publisher / Ed. Institution:||MDPI|
|Subjects:||Agro-food trade; National dish; Food taste similarity index|
|Subject (DDC):||337: International economics and commerce |
|Abstract:||This paper presents a database that includes information on national recipes and their ingredients for 171 countries, measures for food taste similarities between all 171 countries as well as bilateral migration and agro-food trade data for 5 years. The database can be used for analyzing e.g., the relation between food preferences and international trade or food preferences and health outcomes (e.g., obesity) across countries.|
|Fulltext version:||Published version|
|License (according to publishing contract):||CC BY 4.0: Attribution 4.0 International|
|Departement:||School of Management and Law|
|Organisational Unit:||Winterthur Institute of Health Economics (WIG)|
|Appears in collections:||Publikationen School of Management and Law|
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|2022_Wunderlich-Kohler_Data-national-dishes-developed-developing-countries_data.pdf||1.6 MB||Adobe PDF|
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Wunderlich, A. C., & Kohler, A. (2022). Data of national dishes in the developed and developing countries in the world : their similarity and trade flows. Data, 7(11). https://doi.org/10.3390/data7110142
Wunderlich, A.C. and Kohler, A. (2022) ‘Data of national dishes in the developed and developing countries in the world : their similarity and trade flows’, Data, 7(11). Available at: https://doi.org/10.3390/data7110142.
A. C. Wunderlich and A. Kohler, “Data of national dishes in the developed and developing countries in the world : their similarity and trade flows,” Data, vol. 7, no. 11, 2022, doi: 10.3390/data7110142.
Wunderlich, Anne C., and Andreas Kohler. “Data of National Dishes in the Developed and Developing Countries in the World : Their Similarity and Trade Flows.” Data, vol. 7, no. 11, 2022, https://doi.org/10.3390/data7110142.
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