Competitiveness in the agricultural sector: a literature review

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Published: Apr 18, 2024
DOI: https://doi.org/10.21676/23897848.5913
Keywords:
Agricultural Competitiveness; Circular Economy; Artificial Intelligence; Literature review; Scientometrics.

Main Article Content

Luis Oswaldo Rodríguez-Mañay
Central University of Ecuador
https://orcid.org/0000-0001-7492-3148
Inmaculada Guaita-Pradas
Polytechnic University of Valencia
https://orcid.org/0000-0003-4116-2375
Inmaculada Marques-Pérez
Polytechnic University of Valencia
https://orcid.org/0000-0002-1059-6288

Abstract

The issue of competitiveness within the agricultural sector has become increasingly significant within the global economic landscape.This literature review article aimed to analyze existing research on competitiveness in the agricultural sector, providing an updated insight into the factors, trends, and challenges that influence it. Researchers conducted a scientometric analysis using Scopus and Web of Science, applying bibliometric techniques such as network analysis, scientific mapping, and the Tree of Science (ToS) methodology. The results include an analysis of the evolution of scientific production, collaboration among countries and authors, prominent journals, and the identification of seminal, structural, and contemporary documents. The conclusions highlight the contribution to existing knowledge, the partial challenge to previous theories, the need to study the role of circular economy and artificial intelligence, the importance of adopting a global perspective, and the use of a multidisciplinary approach and innovative bibliometric tools.

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How to Cite
Rodríguez-Mañay, L. O., Guaita-Pradas, I. ., & Marques-Pérez, I. (2024). Competitiveness in the agricultural sector: a literature review. Clío América, 18(35), 52–69. https://doi.org/10.21676/23897848.5913
Issue
Vol. 18 No. 35 (2024): january - june 2024 Thematic Volume - Scientometic Articles Guest Editor - PhD. Sebastian Robledo Giraldo
Section
Review article
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This journal provides an open access to its content, based on the principle of offering the public free access to research, helping to increase global knowledge exchange. Likewise, the printed version is freely accessible and has no associated costs per publication.

Author Biographies

Luis Oswaldo Rodríguez-Mañay, Central University of Ecuador

PhD.

Inmaculada Guaita-Pradas, Polytechnic University of Valencia

Polytechnic University of Valencia

Inmaculada Marques-Pérez, Polytechnic University of Valencia

PhD.

References

Abdullahi, N. M., Zhang, Q., Shahriar, S., Kea, S. & Huo, X. (2022). Relative export competitiveness of the Nigerian cocoa industry. Competitiveness Review Journal, 32(6), 1025–1046. http://dx.doi.org/10.1108/CR-03-2021-0036

Aria, M. & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. http://dx.doi.org/10.1016/j.joi.2017.08.007

Bajan, B., Łukasiewicz, J. & Smutka, L. (2021). Similarity and competition of Polish agri-food export with the largest agricultural producers in the EU. Analysis of EU, US and China market. Agris on-Line Papers in Economics and Informatics, 13(1), 29–47. https://doi.org/10.7160/aol.2021.130103

Balassa, B. (1965). Trade liberalisation and “revealed” comparative advantage. Manchester School, 33(2), 99–123. https://doi.org/10.1111/j.1467-9957.1965.tb00050.x

Bastian, M., Heymann, S. & Jacomy, M. (2009). Gephi: An Open Source Software for Exploring and Manipulating Networks. Proceedings of the International AAAI Conference on Web and Social Media, 3(1), 361–362. http://dx.doi.org/10.13140/2.1.1341.1520

Blondel, V. D., Guillaume, J.-L., Lambiotte, R. & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics, 2008(10), P10008. http://dx.doi.org/10.1088/1742-5468/2008/10/P10008

Borsellino, V., Varia, F., Zinnanti, C. & Schimmenti, E. (2020). The Sicilian cooperative system of wine production. The strategic choices and performance analyses of a case study. International Journal of Wine Business Research, 32(3), 391–421. http://dx.doi.org/10.1108/IJWBR-10-2018-0062

Buitrago, R., R. E., Torralba Barreto, D. R. & Reyes, G. E. (2022). Are competitiveness rankings and institutional measures helping emerging economies to improve? Competitiveness Review: An International Business Journal, 33(5), 861-888. https://doi.org/10.1108/CR-04-2021-0064

Chen, X. (2023). Does cross-field influence regional and field-specific distributions of highly cited researchers? Scientometrics, 128(1), 825–840. https://doi.org/10.1007/s11192-022-04584-3

Donner, M., Verniquet, A., Broeze, J., Kayser, K. & De Vries, H. (2021). Critical success and risk factors for circular business models valorising agricultural waste and by-products. Resources, Conservation and Recycling, 165, 105236. https://doi.org/10.1016/j.resconrec.2020.105236

Duque-Hurtado, P., Samboni-Rodriguez, V., Castro-Garcia, M., Montoya-Restrepo, L. A. & Montoya-Restrepo, I. A. (2020). Neuromarketing: Its current status and research perspectives. Estudios Gerenciales, 36(157), 525–539. https://doi.org/10.18046/j.estger.2020.157.3890

Duque, P. & Cervantes-Cervantes, L. S. (2019). Responsabilidad Social Universitaria: una revisión sistemática y análisis bibliométrico. Estudios Gerenciales, 35(153), 451–464. https://doi.org/10.18046/j.estger.2019.153.3389

Durán-Aranguren, D. D., Robledo, S., Gomez-Restrepo, E., Arboleda Valencia, J. W. & Tarazona, N. A. (2021). Scientometric Overview of Coffee By-Products and Their Applications. Molecules , 26(24), 7605. http://dx.doi.org/10.3390/molecules26247605

Eggers, F., Risselada, H., Niemand, T. & Robledo, S. (2022). Referral campaigns for software startups: The impact of network characteristics on product adoption. Journal of Business Research, 145, 309–324. https://doi.org/10.1016/j.jbusres.2022.03.007

Erdem, T. (2020). Competitiveness of dried sector: A case study of world and Turkey. Agricultural Economics , 66(8), 365–372. https://doi.org/10.17221/98/2020

Falciola, J., Jansen, M. & Rollo, V. (2020). Defining firm competitiveness: A multidimensional framework. World Development, 129, 104857. http://dx.doi.org/10.1016/j.worlddev.2019.104857

Frank, S., Havlík, P., Tabeau, A., Witzke, P., Boere, E., Bogonos, M., … & Valin, H. (2021). How much multilateralism do we need? Effectiveness of unilateral agricultural mitigation efforts in the global context. Environmental Research Letters, 16(10), 104038. http://dx.doi.org/10.1088/1748-9326/ac2967

Guliev, R. & Mehari, A. (2023). Why Competitiveness of Light Manufacturing Industries Matters to East African Countries: In the Case of Ethiopia, Rwanda, Tanzania, and Uganda. WSEAS Transactions on Business and Economics, 20, 601–610. http://dx.doi.org/10.37394/23207.2023.20.55

Hoang, V. V. (2020). Investigating the agricultural competitiveness of ASEAN countries. Journal of Economic Studies , 47(2), 307–332. http://dx.doi.org/10.1108/JES-10-2018-0366

Hurtado-Marín, V. A., Agudelo-Giraldo, J. D., Robledo, S. & Restrepo-Parra, E. (2021). Analysis of dynamic networks based on the Ising model for the case of study of co-authorship of scientific articles. Scientific Reports, 11(1), 5721. https://doi.org/10.1038/s41598-021-85041-8

Istudor, N., Constantin, M., Ignat, R., Chiripuci, B.-C. & Petrescu, I.-E. (2022). The complexity of agricultural competitiveness: Going beyond the balassa index. Journal of Competitiveness, 14(4), 61–77. https://doi.org/10.7441/joc.2022.04.04

Jarosz-Angowska, A., Nowak, A., Kołodziej, E. & Klikocka, H. (2022). Effect of European Integration on the Competitiveness of the Agricultural Sector in New Member States (EU-13) on the Internal EU Market. Sustainability: Science Practice and Policy, 14(20), 13124. http://dx.doi.org/10.3390/su142013124

Kavcic, S., Erjavec, E. & Mergos, G. (2003). EU enlargement and the Common Agricultural Policy: The case of Slovenia. Agricultural and Food Science, 12(1), 3–19. http://dx.doi.org/10.23986/afsci.5739

Konstantinidis, C., Natos, D. & Mattas, K. (2021). Food and beverages industry competitiveness in economic turbulence: Agricultural policy viewpoints. British Food Journal, 123(5), 1974–1983. http://dx.doi.org/10.1108/BFJ-04-2019-0267

Kožar, M., Kempen, M., Britz, W. & Erjavec, E. (2012). Flattening and redistribution of the CAP direct payments for the EU27 regions. Agricultural Economics, 58(10), 443–453. http://dx.doi.org/10.17221/144/2011-AGRICECON

Kumar, A., Kumar, P., Sharma, A. N. (2012). Crop diversification in eastern India: Status and determinants. Indian Journal of Agricultural Economics, 67(4). http://dx.doi.org/10.22004/ag.econ.204840

Kumar, A., Shinoj, P., Jee, S., Kumar, A., Shinoj, P. & Jee, S. (2013). Do dairy co-operatives enhance milk production, productivity and quality? Evidences from the Indo-Gangetic plain of India. Indian Journal of Agricultural Economics, 68(902-2016-66835), 457-468. http://dx.doi.org/10.22004/ag.econ.206348

Kumar, A., Staal, S. J., Singh, N. P. & Singh, D. K. (2007). Livestock sector trade of India: Surging momentum in the new liberalised regime. Indian Journal of Agricultural Economics, 62(3). http://dx.doi.org/10.22004/ag.econ.204531

Lokko, Y., Heijde, M., Schebesta, K., Scholtès, P., Van Montagu, M. & Giacca, M. (2018). Biotechnology and the bioeconomy-Towards inclusive and sustainable industrial development. New Biotechnology, 40(Pt A), 5–10. http://dx.doi.org/10.1016/j.nbt.2017.06.005

Long, Y. (2021). Export competitiveness of agricultural products and agricultural sustainability in China. Regional Sustainability, 2(3), 203–210. https://doi.org/10.1016/j.regsus.2021.09.001

López Belmonte, J., Segura-Robles, A., Moreno-Guerrero, A.-J. & Parra-González, M. E. (2020). Machine Learning and Big Data in the Impact Literature. A Bibliometric Review with Scientific Mapping in Web of Science. Symmetry, 12(4), 495. http://dx.doi.org/10.3390/sym12040495

Lubanda, J. P., Smutka, L. & Selby, R. (2016). Agricultural production and trade structure profile in democratic republic of Congo (DRC). Agris on-Line Papers in Economics and Informatics, 8(665-2016-45123), 67–87. http://dx.doi.org/10.7160/aol.2016.080206

Marín-Velásquez, T. D. & Arrojas-Tocuyo, D. D. J. (2021). Revistas científicas de América Latina y el Caribe en SciELO, Scopus y Web of Science en el área de Ingeniería y Tecnología: su relación con variables socioeconómicas. Revista Española de Documentación Científica, 44(3), e301–e301. https://doi.org/10.3989/redc.2021.3.1812

Marques-Perez, I., Rodríguez-Mañay, L. & Guaita-Pradas, I. (2022). Management improvement of the supply chain of perishable agricultural products by combining the Scor model and AHP methodology. The ecuadorian flower industry as a case study. Revista de la Facultad de Ciencias Agrarias UNCuyo, 54(2), 73–82. https://doi.org/10.48162/rev.39.084

Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A. & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de La Información, 29(1). http://dx.doi.org/10.3145/epi.2020.ene.03

Nowak, A. & Różańska-Boczula, M. (2021). The Competitiveness of Agriculture in EU Member States According to the Competitiveness Pyramid Model. Collection FAO: Agriculture, 12(1), 28. http://dx.doi.org/10.3390/agriculture12010028

Parikoglou, I., Emvalomatis, G., Thorne, F. & Wallace, M. (2022). Farm Advisory Services and total factor productivity growth in the Irish dairy sector. European Review of Agricultural Economics, 50(2), 655–682. https://doi.org/10.1093/erae/jbac024

Pawlak, K., Kołodziejczak, M. & Xie, Y. (2019). Horizontal Integration in the Agricultural Sector as a Factor Increasing Its Competitiveness – Experience from Poland. Eastern European Countryside, 25(1), 195–232. https://doi.org/10.12775/eec.2019.008

Poczta, W., Średzińska, J. & Chenczke, M. (2020). Economic Situation of Dairy Farms in Identified Clusters of European Union Countries. Collection FAO: Agriculture, 10(4), 92. http://dx.doi.org/10.3390/agriculture10040092

Robledo, S., Grisales Aguirre, A. M., Hughes, M. & Eggers, F. (2023). “¿Hasta la vista, baby” – will machine learning terminate human literature reviews in entrepreneurship? Journal of Small Business Management, 61(3), 1314-1343. http://dx.doi.org/10.1080/00472778.2021.1955125

Robledo, S., Zuluaga, M., Valencia-Hernandez, L.-A., Arbelaez-Echeverri, O. A.-E., Duque, P. & Alzate-Cardona, J.-D. (2022). Tree of Science with Scopus: A Shiny Application. Issues in Science and Technology Librarianship, 100. http://dx.doi.org/10.29173/istl2698

Rumankova, L., Kuzmenko, E., Benesova, I. & Smutka, L. (2022). Selected EU Countries Crop Trade Competitiveness from the Perspective of the Czech Republic. Collection FAO: Agriculture, 12(2), 127. http://dx.doi.org/10.3390/agriculture12020127

Si, B., Liang, Y., Zhao, J., Zhang, Y., Liao, X., Jin, H., Liu, H. & Gu, L. (2022). GGraph: An efficient structure-aware approach for iterative graph processing. IEEE Transactions on Big Data, 8(5), 1182–1194. https://doi.ieeecomputersociety.org/10.1109/TBDATA.2020.3019641

Srbinovska, M., Gavrovski, C., Dimcev, V., Krkoleva, A. & Borozan, V. (2015). Environmental parameters monitoring in precision agriculture using wireless sensor networks. Journal of Cleaner Production, 88, 297–307. https://doi.org/10.1016/j.jclepro.2014.04.036

Sun, L., Wu, L. & Qi, P. (2020). Global characteristics and trends of research on industrial structure and carbon emissions: a bibliometric analysis. Environmental Science and Pollution Research International, 27(36), 44892–44905. https://doi.org/10.1007/s11356-020-10915-9

Thomé, K. M., Paiva, V. A. L. & Gois, T. C. D. (2023). Wine international market structure and competitiveness. International Journal of Wine Business Research, 35(4), 561-579. https://doi.org/10.1108/ijwbr-06-2022-0019

Urba, S., Senyshyn, O., Zamroz, M. & Shparyk, Y. (2023). Assessment Of Export Capacity Of Agricultural Sector In The Context Of International Competitiveness. Management Theory and Studies for Rural Business and Infrastructure Development, 45(1), 67–78. https://doi.org/10.15544/mts.2023.08

Valencia-Hernandez, D. S., Robledo, S., Pinilla, R., Duque-Méndez, N. D. & Olivar-Tost, G. (2020). SAP Algorithm for Citation Analysis: An improvement to Tree of Science. Ingeniería E Investigación, 40(1), 45–49. http://dx.doi.org/10.15446/ing.investig.v40n1.77718

Van Meijl, H., van Rheenen, T., Tabeau, A. & Eickhout, B. (2006). The impact of different policy environments on agricultural land use in Europe. Agriculture, Ecosystems & Environment, 114(1), 21–38. https://doi.org/10.1016/j.agee.2005.11.006

Vázquez-de Castro, J. L., Chávez, E., Espinel, R., Hendrix, S., Smolders, E. & Maertens, M. (2023). The economic costs of cadmium non‐tariff measures for smallholder cocoa farmers in Ecuador. The World Economy. http://dx.doi.org/10.1111/twec.13488

Vivares, J. A., Sarache, W. & Hurtado Jorge, E. (2018). A maturity assessment model for manufacturing systems. International Journal of Manufacturing Technology and Management, 29(5), 746–767. http://dx.doi.org/10.1108/JMTM-07-2017-0142

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

Yang, Z., Liu, P. & Luo, L. (2023). Growing exports through ISO 9001 quality certification: Firm-level evidence from Chinese agri-food sectors. Food Policy, 117, 102455. https://doi.org/10.1016/j.foodpol.2023.102455

Zanardello, C. (2023). Market forces in Italian academia today (and yesterday). Scientometrics, 128(1), 651–698. https://doi.org/10.1007/s11192-022-04579-0

Zdráhal, I., Hrabálek, M., Kadlec, P. & Krpec, O. (2021). Brazil’s comparative advantages and specialization dynamics in agri-food trade. Agris on-Line Papers in Economics and Informatics, 13(2), 121–139. http://dx.doi.org/10.7160/aol.2021.130210

Zuluaga, M., Robledo, S., Arbelaez-Echeverri, O., Osorio-Zuluaga, G. A. & Duque-Méndez, N. (2022). Tree of Science - ToS: A Web-Based Tool for Scientific Literature Recommendation. Search Less, Research More! Issues in Science and Technology Librarianship, (100). https://orcid.org/0000-0003-1720-8476