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Determinants, efficiency and potential of agri-food exports from Nigeria to the EU: Evidence from the stochastic frontier gravity model

Author

Listed:
  • Nazir Muhammad Abdullahi

    (College of Economics and Management, Northwest A&F University, Shaanxi, China
    Department of Business Administration and Entrepreneurship Development, School of Rural Technology and Entrepreneurship Development, Kano State Polytechnic, Kano, Nigeria)

  • Olufemi Adewale Aluko

    (Department of Finance, Faculty of Management Sciences, University of Ilorin, Ilorin, Nigeria)

  • Xuexi Huo

    (College of Economics and Management, Northwest A&F University, Shaanxi, China)

Abstract

This study uses an extended gravity model to examine the determinants, efficiency and potential of agri-food exports from Nigeria to the EU for the 1995-2019 period. It uses a stochastic frontier analysis (SFA) to estimate the extended gravity model. The results show that the economic size (GDP) of Nigeria and the EU countries, as well as bilateral distance, positively determine agri-food exports from Nigeria to the EU. Also, the results show that Nigeria's agri-food exports to the EU are negatively determined by the income (per capita GDP) of Nigeria and its EU trading countries, bilateral exchange rate and EU new member states (NMS). The results further show that Nigeria scores relatively low in terms of the efficiency of its agri-food exports to the EU countries. On a final note, the study shows that Nigeria's agri-food exports with the EU have a relatively large potential that has not been exploited. We document policy recommendations in this study.

Suggested Citation

  • Nazir Muhammad Abdullahi & Olufemi Adewale Aluko & Xuexi Huo, 2021. "Determinants, efficiency and potential of agri-food exports from Nigeria to the EU: Evidence from the stochastic frontier gravity model," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(8), pages 337-349.
  • Handle: RePEc:caa:jnlage:v:67:y:2021:i:8:id:15-2021-agricecon
    DOI: 10.17221/15/2021-AGRICECON
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    1. Nahanga Verter & Věra Bečvářová, 2016. "The Impact of Agricultural Exports on Economic Growth in Nigeria," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(2), pages 691-700.
    2. Edmond Noubissi & Henri Njangang, 2020. "The impact of terrorism on agriculture in African countries," African Development Review, African Development Bank, vol. 32(4), pages 730-743, December.
    3. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    4. J. Sebastián Castillo & Emiliano C. Villanueva & M. Carmen García‐Cortijo, 2016. "The International Wine Trade and Its New Export Dynamics (1988–2012): A Gravity Model Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 32(4), pages 466-481, November.
    5. Godwin Odo ONOGWU, 2014. "Determinants of the intra-industry trade in cereal and miscellaneous edible preparations: the evidence for Nigeria and the ECOWAS partners," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(1), pages 21-30.
    6. Geetha Ravishankar & Marie M. Stack, 2014. "The Gravity Model and Trade Efficiency: A Stochastic Frontier Analysis of Eastern European Countries' Potential Trade," The World Economy, Wiley Blackwell, vol. 37(5), pages 690-704, May.
    7. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    8. Jeremiás Máté Balogh & Nuno Carlos Leitão, 2019. "A gravity approach of agricultural trade: The nexus of the EU and African, Caribbean and Pacific countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(11), pages 509-519.
    9. Ivo Zdráhal & Nahanga Verter & Barbora Daňková & Jan Kuchtík, 2019. "Products Mapping' and Agri-Food Trade between Nigeria and ECOWAS Member Countries," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(5), pages 1379-1392.
    10. Changkyu Choi, 2002. "Linder hypothesis revisited," Applied Economics Letters, Taylor & Francis Journals, vol. 9(9), pages 601-605.
    11. M. Ševela, 2002. "Gravity-type model of Czech agricultural export," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 48(10), pages 463-466.
    12. Sapa, Agnieszka & Droždz, Jolanta, 2019. "Polish Agri-Food Trade With Non-Eu Countries – A Gravity Model Analysis," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2019(4).
    13. Nkenchor Neville Igue & Toyin Segun Ogunleye, 2014. "Impact of Real Exchange Rate on Trade Balance in Nigeria," African Development Review, African Development Bank, vol. 26(2), pages 347-358, June.
    14. Sokvibol Kea & Hua Li & Saleh Shahriar & Nazir Muhammad Abdullahi & Samnang Phoak & Tharo Touch, 2019. "Factors Influencing Cambodian Rice Exports: An Application of the Dynamic Panel Gravity Model," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(15), pages 3631-3652, December.
    15. Ding Chen & Umar Muhammad Gummi & Shan-Bing Lu & Asiya Mu'azu, 2020. "Modelling the impact of oil price fluctuations on food price in high and low-income oil exporting countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(10), pages 458-468.
    16. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    17. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    18. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    19. Evans S. Osabuohien & Uchenna R. Efobi & John T. Odebiyi & Oluyemi O. Fayomi & Adeleke O. Salami, 2019. "Bilateral Trade Performance in West Africa: A Gravity Model Estimation," African Development Review, African Development Bank, vol. 31(1), pages 1-14, March.
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