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La relation de prix entre le Cameroun et le Gabon
[Is there a food price transmission between Cameroon and Gabon?]

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Abstract

This paper uses a wide range of 15 agricultural products to analyze the causal relationship between Cameroon and Gabon. The study is based on the panel estimation of a causal model of Holtz-Eakin et al (1988) to January 2001 from July 2009. The results indicate that the prices of Cameroonian agricultural products have a positive and significant impact on the gabonese markets for agricultural products. Thus, given that the Gabonese market are dependent on Cameroonian markets, it is important to increase agricultural production to meet Cameroon Cameroon's claim and the neighboring countries.

Suggested Citation

  • Ntsama, Mireille, 2012. "La relation de prix entre le Cameroun et le Gabon [Is there a food price transmission between Cameroon and Gabon?]," MPRA Paper 53771, University Library of Munich, Germany, revised 03 May 2013.
    • Handle: RePEc:pra:mprapa:53771
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    1. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    2. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    3. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    4. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    5. Coakley, Jerry & Kulasi, Farida & Smith, Ron, 1996. "Current Account Solvency and the Feldstein-Horioka Puzzle," Economic Journal, Royal Economic Society, vol. 106(436), pages 620-627, May.
    6. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    7. Donald F. Larson & Julian Lampietti & Christophe Gouel & Carlo Cafiero & John Roberts, 2014. "Food Security and Storage in the Middle East and North Africa," The World Bank Economic Review, World Bank, vol. 28(1), pages 48-73.
    8. Paul Dorosh, 2008. "Food Price Stabilisation And Food Security: International Experience," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 44(1), pages 93-114.
    9. Jeffrey Frankel & Andrew Rose, 2002. "An Estimate of the Effect of Common Currencies on Trade and Income," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(2), pages 437-466.
    10. Mahadevan, Renuka & Asafu-Adjaye, John, 2007. "Energy consumption, economic growth and prices: A reassessment using panel VECM for developed and developing countries," Energy Policy, Elsevier, vol. 35(4), pages 2481-2490, April.
    11. Melitz, Jacques, 2008. "Language and foreign trade," European Economic Review, Elsevier, vol. 52(4), pages 667-699, May.
    12. Sanogo, Issa, 2008. "SPATIAL integration of the rice market: emprirical evidence from mid-west and far-west Nepal and the Nepalese-Indian border," MPRA Paper 14488, University Library of Munich, Germany.
    13. Pesaran, M. Hashem & Smith, Ron, 1995. "The role of theory in econometrics," Journal of Econometrics, Elsevier, vol. 67(1), pages 61-79, May.
    14. Gould, David M, 1994. "Immigrant Links to the Home Country: Empirical Implications for U.S. Bilateral Trade Flows," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 302-316, May.
    15. Sanogo, Issa & Maliki Amadou, Mahamane, 2010. "Rice market integration and food security in Nepal: The role of cross-border trade with India," Food Policy, Elsevier, vol. 35(4), pages 312-322, August.
    16. Islam, Nurul & Thomas, Saji, 1996. "Foodgrain price stabilization in developing countries," Food policy reviews 3, International Food Policy Research Institute (IFPRI).
    17. Timmer, C. Peter, 1989. "Food price policy : The rationale for government intervention," Food Policy, Elsevier, vol. 14(1), pages 17-27, February.
    18. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    19. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    20. Paul Dorosh, 2009. "Price stabilization, international trade and national cereal stocks: world price shocks and policy response in South Asia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(2), pages 137-149, June.
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    More about this item

    Keywords

    intégration des marchés; causalité en panel; Gabon; Cameroun;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade

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