Djontu, Bruno Legrand (2022): Déterminants et efficacité des exportations camerounaises des produits agricoles : Une application du modèle de gravité à la frontière stochastique.
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Abstract
This study aims at evaluating the determinants of trade in agricultural exports products of Cameroon, as well as the level of efficiency and potential of Cameroon with its trading partners. To achieve this goal, a stochastic frontier gravity model is estimated over the period 2000-2017 for a sample of 41 partners. Using the maximum likelihood method, the results show that Cameroon’s GDP, partner population, bilateral exchange rate and sharing of a common colonial history increase exports of agricultural products, unlike preferential trade agreements and Cameroon’s population. Likewise, the hypothesis of the existence of commercial inefficiency is validated. The estimation of the efficiency scores shows that around 76.6% of Cameroon's agricultural export potential remains untapped. These results underscore the importance of developing the agricultural sector and improving Cameroon's trade policies.
Item Type: | MPRA Paper |
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Original Title: | Déterminants et efficacité des exportations camerounaises des produits agricoles : Une application du modèle de gravité à la frontière stochastique |
English Title: | Determinants and potential of Cameroon’s agricultural product exports: An application of the stochastic frontier gravity model |
Language: | French |
Keywords: | agricultural exports, gravity model, stochastic frontier, trade efficiency, export potential |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q17 - Agriculture in International Trade |
Item ID: | 113959 |
Depositing User: | Bruno Legrand Djontu |
Date Deposited: | 02 Aug 2022 10:08 |
Last Modified: | 02 Aug 2022 10:08 |
References: | Aigner, D., Lovell, C. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of econometrics, 6(1), 21-37. Amin, A. A. (1996). Effects of exchange rate policy on Cameroon's agricultural competitiveness. Research paper 42/African Economic Research Consortium, Nairobi, Kenya. Anderson, J. E., & Van Wincoop, E. (2003). Gravity with gravitas: A solution to the border puzzle. American economic review, 93(1), 170-192. Atif, R. M., Haiyun, L., & Mahmood, H. (2017). Pakistan's agricultural exports, determinants and its potential: an application of stochastic frontier gravity model. The Journal of International Trade & Economic Development, 26(3), 257-276. Atif, R. M., Mahmood, H., Haiyun, L., & Mao, H. (2019). Determinants and efficiency of Pakistan’s chemical products’ exports: An application of stochastic frontier gravity model. PloS one, 14(5), e0217210. Avom, D., & Mignamissi, D. (2017). Pourquoi le commerce intra-CEEAC est-il si faible?. Revue française d'économie, 32(3), 136-170. Baldwin R. & Taglioni D. (2006). Gravity for Dummies and Dummies for Gravity Equations, nber Working Paper n° 12516. Barro, R.J. (1991). Economic Growth in a Cross-Section of Countries. Quarterly Journal of Economics, 106(2): 407–443. Braha, K., Qineti, A., Cupák, A., & Lazorcáková, E. (2017). Determinants of Albanian agricultural export: The gravity model approach. AGRIS on-line Papers in Economics and Informatics, 9(665-2017-1574), 3-21. Crescimanno, M., Galati, A., & Yahiaoui, D. (2013). Determinants of Italian agrifood exports in non-EU Mediterranean Partner Countries: an empirical investigation through a gravity model approach. A Mediterranean Journal of Economics, Agriculture and Environment, 12(4), 46-54. Dreyer, H. (2014). Misaligned distance: why distance can have a positive effect on trade in agricultural products. Institute of Agricultural Policy and Market Research, University of Giessen, Germany. Selected Paper prepared for presentation at the Agricultural & Applied Economics Association’s 2014 AAEA Annual Meeting, Minneapolis, MN, July 27-29, 2014. Drysdale, P., Huang, Y., & Kalirajan, K. P. (2000). China’s trade efficiency: measurement and determinants’. APEC and liberalisation of the Chinese economy, Asia Pacific Press, Canberra, 259-71. Edwards, S. (1993). Openness, trade liberalization, and growth in developing countries. Journal of economic Literature, 31(3), 1358-1393. Erdem, E., & S. Nazlioglu, S. (2008). Gravity Model of Turkish Agricultural Exports to the European Union. Working Paper 21. International Trade and Finance Association, The Berkeley Electronic Press. FAO (Food and Agriculture Organisation) (2017). Dossiers de la FAO sur les politiques commerciales. Appui de la FAO aux négociations de l'OMC (http://www.fao.org/3/I8005FR/i8005fr.pdf ) Gaigné, C., & Gouel, C. (2022). Trade in agricultural and food products. Handbook of Agricultural Economics, 6. Gbetnkom, D. & Khan, S.A.(2002). Determinants of agricultural exports: the case of Cameroon, African Economic Research Consortium, 120. Grossman, G. M., & Helpman, E. (1991). Trade, knowledge spillovers, and growth. European economic review, 35(2-3), 517-526. Hajivand, S., Moghaddasi, R., Zeraatkish, Y., & Mohammadinejad, A. (2020). An Application of Stochastic Frontier Gravity Approach (The Case of Iran's Potential Agricultural Exports). International Journal of Analysis and Applications, 18(3), 482-492. Hatab AA, Romstad E & Huo X (2010) Determinants of Egyptian agricultural exports: A gravity model approach. Modern Economy 1(3): 134–143. Malefane, M. R., & Odhiambo, N. M. (2021). Trade openness and economic growth: empirical evidence from Lesotho. Global Business Review, 22(5), 1103-1119. Meeusen, W. van den Broeck (1977) Efficient estimation from Cobb-Douglas production functions with composed error. Int Econ Rev, 18, 435-144. Montalieu, T., & Rabaud, I. (2010). Une analyse critique des mesures de restrictions aux échanges de services (No. 1713). Orleans Economics Laboratory/Laboratoire d'Economie d'Orleans (LEO), University of Orleans. Ngouhouo, I., Nchofoung, T., & Njamen Kengdo, A. A. (2021). Determinants of trade openness in sub-Saharan Africa: do institutions matter?. International Economic Journal, 35(1), 96-119. Nguyen, B. X. (2010). The determinants of Vietnamese export flows: Static and dynamic panel gravity approaches. International Journal of Economics and Finance, 2(4), 122-129. Ravishankar, G., & Stack, M. M. (2014). The Gravity Model and Trade Efficiency: A Stochastic Frontier Analysis of Eastern E uropean Countries' Potential Trade. The World Economy, 37(5), 690-704. Sarker, R., & Jayasinghe, S. (2007). Regional trade agreements and trade in agrifood products: evidence for the European Union from gravity modeling using disaggregated data. Agricultural Economics, 37(1), 93-104. Sevela, M. (2002). Gravity-Type Model of Czech Agricultural Export. Agricultural Economics 48: 463–466. Stack, M. M., Pentecost, E. J., & Ravishankar, G. (2018). A stochastic frontier analysis of trade efficiency for the new EU member states: Implications of Brexit. Economic Issues, 23(1), 35-53. Tamini, L. D., Chebbi, H. E., & Abbassi, A. (2016). Trade performance and potential of North African countries: An application of a stochastic frontier gravity model. Cahier de recherche/Working Paper, 4. Tang, C. F., Lai, Y. W., & Ozturk, I. (2015). How stable is the export-led growth hypothesis? Evidence from Asia's Four Little Dragons. Economic Modelling, 44, 229-235. Tinbergen, J. (1962), Shaping the World Economy: Suggestions for an International Economic Policy, The Twentieth Century Fund, NewYork. Tochkov, K. (2021). Trade Efficiency, Cross-Border Integration, and Regional Barriers in Northeast China. The Chinese Economy, 1-13. World Bank. (1987). World Development Report 1987: barriers to adjustment and growth in the world economy: industrialization and foreign trade. Oxford University Press. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/113959 |