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Determinants and Potential of Agri-Food Trade Using the Stochastic Frontier Gravity Model: Empirical Evidence From Nigeria

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  • Nazir Muhammad Abdullahi
  • Xuexi Huo
  • Qiangqiang Zhang
  • Aminah Bolanle Azeez

Abstract

Considering the importance of agri-food exports for Nigeria in the face of dwindling revenue from its oil exports. Therefore, this study provides empirical insights on the determinants and potential of agri-food exports from Nigeria to 70 major trading countries between 1995 and 2019 by applying a Stochastic Frontier Analysis (SFA) on a gravity model. We also estimate a variety of techniques, including the fixed effects, Ordinary Least Square (OLS), Pseudo Poisson Maximum Likelihood (PPML), and Heckman models to confirm the robustness of our results. We show that the economic size (GDP) of Nigeria and its trading countries, importers’ population, EU membership, ECOWAS membership and contiguity stimulate agri-food export. Also, we show that bilateral distance, domestic population, exchange rate, language, and landlocked adversely affect agri-food exports. The potential for agri-food trade expansion exists with mostly world biggest economies (including China, the USA, Brazil, India, Russia, Japan, and EU countries) and Nigeria’s border countries. Policy directions for agri-food export expansion are provided.

Suggested Citation

  • Nazir Muhammad Abdullahi & Xuexi Huo & Qiangqiang Zhang & Aminah Bolanle Azeez, 2021. "Determinants and Potential of Agri-Food Trade Using the Stochastic Frontier Gravity Model: Empirical Evidence From Nigeria," SAGE Open, , vol. 11(4), pages 21582440211, December.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:4:p:21582440211065770
    DOI: 10.1177/21582440211065770
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    2. Wani Suadat Hussain & Mir M. Afzal, 2023. "Import Determinants and Potential Markets of Pakistan: An Application of PPML Gravity Model," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 33(1), pages 57-73, March.
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