Analysis of the Competitiveness in the Agri-food sector: The case of Latin America and the Caribbean Region
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Copyright (c) 2022 Giovanna Maria Borges Aguiar, Jeremiás Máté Balogh
This work is licensed under a Creative Commons Attribution 4.0 International License.
Hogyan hivatkozzuk
Elfogadott 2022-02-21
Publikált 2022-12-02
Absztrakt
Latin America and the Caribbean (LAC) countries are among the global leaders in the production and exports of agricultural and fisheries commodities, accounting for 15% of the world’s average agri-food export from 1995 to 2019. With rising global market competitiveness, considering the agri-food sector, it is important to assess if the region can compete against other global rivals, and in what products. Accounting for regional potential economic power, remarkable agricultural food export and market expansion, this paper explored the LAC agricultural trade patterns and export competitiveness through the analysis of the Revealed Comparative Advantage (RCA) index, and its modifications - SRCA (Symmetric Revealed Comparative Advantage), RTA (Relative Trade Advantage, and RC (Revealed Competitiveness) - in the agricultural sector for the period of 1995-2019. This paper contributes to the literature by presenting the export characteristics in Latin American developing countries, which can be an important instrument for decision-makers in the agricultural trade policy. Throughout the research period, the results indicated that Brazil, Argentina, and Mexico were the TOP agri-food exporters in LAC. The highest RCA, SRCA, and RTA were found in Guatemala, whereas the greatest RC was found in Argentina. At the product level analysis, oil seeds and oleaginous fruits, miscellaneous grains, seeds and fruit, industrial or medicinal plants, and straw and fodder (HS12) were the most exported items at the 2-digit level. Fruit and nuts, edible; peel of citrus fruit or melons (HS08) had the most competitiveness in the worldwide market, with the highest SRCA and RC indices, whereas coffee, tea, mate, and spices (HS9) had the highest BRCA and RTA values. The evidence suggests that among the TOP 10 exporters in LAC, all indices in the global agri-food trade are said to be relatively stable, whereas survival rates do not persist over time.
Hivatkozások
- Arias, D., Vieira, P. A., Contini, E., Farinelli, B., & Morris, M. (2017). Agriculture Productivity Growth in Brazil: Recent trends and future prospects. In Agriculture Productivity Growth in Brazil. https://doi.org/10.1596/32202
- Atkinson, R. D. (2013). Competitiveness, Innovation and Productivity: Clearing up the Confusion. The Information Technology & Innovation Foundation, August, 1–7.
- Balassa, B. (1965). Trade Liberalisation and “Revealed” Comparative Advantage. The Manchester School, 33(2), 99–123. https://doi.org/doi:10.1111/j.1467-9957.1965.tb00050.x
- Bojnec, S., & Ferto, I. (2018). Drivers of the duration of comparative advantage in the European Union’s agri-food exports. Agric. Econ. – Czech, 64(2), 51–60. https://doi.org/10.17221/173/2016-AGRICECON
- Bojnec, Š., & Ferto, I. (2008). European enlargement and agro-food trade. Canadian Journal of Agricultural Economics, 56(4), 563–579. https://doi.org/10.1111/j.1744-7976.2008.00148.x
- Bojnec, Š., & Fertő, I. (2019). European Union countries agri-food trade structures and main competitors on the internal and global agri-food markets. Ekonomika Poljoprivrede, 66(2), 635–650. https://doi.org/10.5937/ekopolj1902635b
- Dalum, B., Laursen, K., & Villumsen, G. (1998). Structural change in OECD export specialisation patterns: de-specialisation and ‘stickiness’. International Review of Applied Economics, 12(3), 423–443. https://doi.org/10.1080/02692179800000017
- De Benedictis, L., Tamberi, M., De Benedictis, L., & Tamberi, M. (2004). Overall Specialization Empirics: Techniques and Applications. Open Economies Review, 15(4), 323–346. https://econpapers.repec.org/RePEc:kap:openec:v:15:y:2004:i:4:p:323-346
- Duff, A., & Padilla, A. (2015). Latin America: agricultural perspectives - RaboResearch (A. Dumitru, J. Kalf, & H. Loman (eds.)). Latin America after the Commodity Boom; Rabobank. https://economics.rabobank.com/publications/2015/september/latin-america-agricultural-perspectives/
- FAO. (2009). How to Feed the World in 2050.
- Gagniuc, P. A. (2017). Markov chains : from theory to implementation and experimentation. John Wiley & Sons. https://www.wiley.com/en-us/Markov+Chains%3A+From+Theory+to+Implementation+and+Experimentation-p-9781119387558
- Galle, V., Rachor, E., Arruda Coronel, D., Machado Pinto, N. G., & Costa, N. L. (2020). Vantagem comparativa revelada da indústria da carne de frango brasileira e dos principais players (2009-2016). Revista Eletrônica Científica Da UERGS, 6(1), 42–53. https://doi.org/10.21674/2448-0479.61.42-53
- Greene, W. H. (2012). Econometric Analysis (7th ed.). Pearson Education Limited.
- Jambor, A., & Babu, S. (2016). The Competitiveness of Global Agriculture: Policy Lessons for Food Security. Springer. https://doi.org/10.1007/978-3-319-44876-3_6
- Jambor, A., & Gibba, A. (2017). Competitiveness in global agri-food trade: The case of peanuts. Bulgarian Journal of Agricultural Science, 23(2), 177–182. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018415992&partnerID=40&md5=2e8045a89942ad19d0554d0c2ae8f550
- Jambor, A., Toth, A. T., & Koroshegyi, D. (2018). Competitiveness in the trade of spices: A global evidence. https://doi.org/10.22004/AG.ECON.277195
- Lobzhanidze, N. (2021). The impact assessment of competitiveness on export growth in Georgian mineral water sector (based on econometric model). Economics. Ecology. Socium, 5(1), 1–12. https://doi.org/10.31520/2616-7107/2021.5.1-1
- Maghin, H., & Renon, E. (2018). Latin America’s Golden Era? In The political economy of Latin America: reflections on neoliberalism and development after the commodity boom (pp. 138–168). Routledge.
- Maranhão, R. A., & Vieira Filho, J. E. (2017). Inserção internacional do agronegócio brasileiro. https://www.researchgate.net/publication/319290176_Insercao_internacional_do_agronegocio_brasileiro
- Matkovski, B., Kalaš, B., Zekić, S., & Jeremić, M. (2019). Agri-food competitiveness in South East Europe. Outlook on Agriculture, 48(4), 326–335. https://doi.org/10.1177/0030727019854770
- Mizik, T., Gál, P., & Török, Á. (2020). Does agricultural trade competitiveness matter? The case of the CIS countries. Agris On-Line Papers in Economics and Informatics, 12(1), 61–72. https://doi.org/10.7160/aol.2020.120106
- Mizik, T., Szerletics, Á., & Jámbor, A. (2020). Agri-Food Export Competitiveness of the ASEAN Countries. Sustainability, 12(23), 1–15. https://doi.org/10.3390/su12239860
- OECD/FAO. (2019). OECD-FAO Agricultural Outlook 2019-2028. OECD Publishing. https://doi.org/https://doi.org/10.1787/agr_outlook-2019-en. This
- Rodríguez, F. (2004). The Political Economy of Latin American Economic Growth.
- Sanfey, P., & Zeh, S. (2012). Making sense of competitiveness indicators in south-eastern Europe (No. 145). http://www.ebrd.com/downloads/research/REP/regional-economic-prospects1205.pdf.
- Vollrath, T. L. (1991). A Theoretical Evaluation of Alternative Trade Intensity Measures of Revealed Comparative Advantage. Weltwirtschaftliches Archiv, 127(2), 265–280. https://doi.org/10.1007/BF02707986
- World Bank. (2019). Trade Integration as a Pathway to Development? https://doi.org/10.1596/978
- World Bank. (2021). Data retrieved Month Day; Year; from World Integrated Trade Solution. UNSD Commodity Trade (COMTRADE) database. https://wits.worldbank.org/
- World Economic Forum. (2016). The Global Competitiveness Report 2016–2017. https://www.weforum.org/reports/the-global-competitiveness-report-2016-2017-1.