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The Fruit and Vegetable Sector in Andalusia (Spain): Key in Terms of Linkages and the Effect of Economic Multipliers?

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Listed:
  • Jaime de Pablo Valenciano
  • Juan Milán-García
  • Juan Uribe-Toril
  • José Luis Ruiz-Real

Abstract

The agriculture, livestock, forestry, and fishing sectors are very important in Andalusia (Spain), being strongly focused on foreign markets, which has required them to make great efforts to improve their competitiveness. The aim of this work is to understand the interrelationships between the fruit and vegetables sector and the remaining sectors of the Andalusian economy, as well as knowing its multiplying effects on production, income, and employment. To this end, the input-output tables of Andalusia for 2016 will be used in order to know if it is a key sector and how it can help to establish economic policy objectives. Regarding forward linkages, the branches that most demand fruit and vegetable products are the industries related to other food products, and the preparation of canned fish and vegetables. In relation to backward linkages, they focus on the manufacture of basic chemicals, and other agricultural crops and services. Despite its importance in Andalusian agriculture, the fruit and vegetable sector is not considered a key sector according to the Rasmussen coefficients, as it is classified as an independent industry. The reasons may be that it uses few primary inputs, is poorly integrated with the rest of the productive sectors, and its production is destined to satisfy final demand (national and international). However, it generates an above average impact on the economy in most multipliers, being important for stimulating economic policy measures.

Suggested Citation

  • Jaime de Pablo Valenciano & Juan Milán-García & Juan Uribe-Toril & José Luis Ruiz-Real, 2023. "The Fruit and Vegetable Sector in Andalusia (Spain): Key in Terms of Linkages and the Effect of Economic Multipliers?," SAGE Open, , vol. 13(3), pages 21582440231, July.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231187286
    DOI: 10.1177/21582440231187286
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    References listed on IDEAS

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    1. Sonis, Michael & Guilhoto, Joaquim José Martins & Hewings, Geoffrey J.D. & Martins, Eduardo B., 1995. "Linkages, key sectors and structural change: some new perspectives," MPRA Paper 54754, University Library of Munich, Germany.
    2. Loizou, Efstratios & Karelakis, Christos & Galanopoulos, Konstantinos & Mattas, Konstadinos, 2019. "The role of agriculture as a development tool for a regional economy," Agricultural Systems, Elsevier, vol. 173(C), pages 482-490.
    3. Li, Yanshu & Mei, Bin & Linhares-Juvenal, Thaís, 2019. "The economic contribution of the world's forest sector," Forest Policy and Economics, Elsevier, vol. 100(C), pages 236-253.
    4. Khem R. Sharma & PingSun Leung & Stuart T. Nakamoto, 1999. "original: Accounting for the linkages of agriculture in Hawaii`s economy with an input-output model: A final demand-based approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 33(1), pages 123-140.
    5. Ana Salome Garcia Muniz & Antonio Morillas Raya & Carmen Ramos Carvajal, 2008. "Key Sectors: A New Proposal from Network Theory," Regional Studies, Taylor & Francis Journals, vol. 42(7), pages 1013-1030.
    6. Jaime de Pablo Valenciano & Juan Uribe-Toril & Juan Milán-García & José Luis Ruiz-Real & José Antonio Torres Arriaza, 2019. "Auxiliary Companies of the Horticultural Sector as a Competitiveness Element: The Case of Almeria (Spain)," IJERPH, MDPI, vol. 16(14), pages 1-19, July.
    7. Jun, Iksu, 2013. "An Analysis of the Economic Impact of Korea-China FTA on Jeju's Citrus Production and the Related Industries," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 36(1), May.
    8. Prem S. Laumas, 1976. "The Weighting Problem in Testing the Linkage Hypothesis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(2), pages 308-312.
    9. Stéphane Hallegatte, 2008. "An adaptive regional input-output model and its application to the assessment of the economic cost of Katrina," Post-Print hal-00716550, HAL.
    10. Hazari, Bharat R, 1970. "Empirical Identification of Key Sectors in the Indian Economy," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 301-305, August.
    11. William A. Schaffer, 1999. "Regional Impact Models," Wholbk, Regional Research Institute, West Virginia University, number 24, November-.
    12. Joost R. Santos & Yacov Y. Haimes, 2004. "Modeling the Demand Reduction Input‐Output (I‐O) Inoperability Due to Terrorism of Interconnected Infrastructures," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1437-1451, December.
    13. Stéphane Hallegatte, 2008. "An Adaptive Regional Input‐Output Model and its Application to the Assessment of the Economic Cost of Katrina," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 779-799, June.
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