Determinants of Agricultural Export Trade: A Co-Integration Analysis for Cotton Lint Exports from Chad

Determinants of Agricultural Export Trade: A Co-Integration Analysis for Cotton Lint Exports from Chad

David Boansi

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University of Bonn

Determinants of Agricultural Export Trade: A Co-Integration Analysis for Cotton Lint Exports from Chad

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Abstract

Following the dramatic decline in Chad’s performance for production and export of cotton lint (from leading producer and among leading exporters in the 1960s to being at the bottom in rank among the C-4 countries of WCA since 1998), use is made of the Johansen Full Information Maximum Likelihood test to identify and estimate the magnitude and effects of key determinants of exports from the country. In this regard, I defined and estimated two primary cointegrating and error correction equations using volume and value of exports as dependent variables in the respective equations. Diagnostic tests performed revealed that the estimates observed are stable, and residuals for the respective models are normally distributed, nonserially correlated and homoscedastic. Results of the study show that cotton production, competitiveness of the country in exports of the commodity, volume of world exports of the commodity, and export price faced by the country are key determinants of export growth. Policies implemented in both the internal and external environments are noted to have had more harmful than beneficial implications for the cotton industry.

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26 Cites in Article

Reference Format

(null). Fidel Castro Ruz. Discursos. 1959, 1961, 1978, 1988, 1989, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2004, 2006, 2007, 2008, 2009, 2010, 2011, 2013, 2014, 2015, 2016.
N Agasha (2009). Determinants of export growth rate in Uganda 1987-2006. Uganda revenue authority, research and planning.
J Alston,H Brunke (2006). Impacts of reductions in US cotton subsidies on the world price of cotton and implications for West African Cotton Producers.
J Alston,D Sumner,H Brunke (2007). Impacts of reduction in US cotton subsidies on West African cotton producers.
K Anderson,E Valenzuela (2006). The WTO's Doha cotton initiative: a tale of two issues.
S Anwar,F Shaukat,Z Hussain (2010). China's Financial Sector Reforms.
J Baffes (2007). Distortions to cotton sector incentives in West and Central Africa.
R Ball (1966). The relationship between U. K. export performance in manufactures and the internal pressure of demand.
A Bannerjee,J Dolado,D Hendry,G Smith (1986). Exploring equilibrium relationships in econometrics through static models: some Monte Carlo evidence.
Lawrence Edwards,Stephen Golub (2004). South Africa's International Cost Competitiveness and Exports in Manufacturing.
R Engle,C Granger (1987). Co-integration and error correction: representation, estimation and testing.
L Goreaux (2003). Report by Benin, Burkina Faso and Mali.
R Harris,R Sollis (2003). Applied time series modeling and forecasting.
R Harris (1995). Using co-integration analysis in econometric modeling.
Søren Johansen,Katarina Juselius (1990). MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY.
Nalini Kumar,A Rai,Mathura Rai (2008). Export of Cucumber and Gherkin from India: Performance, Destinations, Competitiveness and Determinants.
Nalini Kumar,A Rai,Mathura Rai (2007). Export of Cucumber and Gherkin from India: Performance, Destinations, Competitiveness and Determinants.
J Kuwornu,M Izideen,Y Osei-Asare (2011). Supply response of rice in Ghana: A cointegration analysis.
H Lütkepohl,M Krätzig (2004). Applied Time Series Econometrics.
B Ndulu,N Lipumba (1990). International trade and economic development in Tanzania.
K Ngeno (1996). Comparative analysis of economic reform and structural adjustment programme in Eastern Africa with emphasis on trade policies.
I Nwachuku,N Agwu,J Nwaru,G Imonikhe (2010). Competitiveness and determinants of cocoa exports from Nigeria.
P Phillips,S Ouliaris (1998). Testing for cointegration using principal components methods.
N Shende,B Bhole (1999). Export potential for India's food grains.
R Ssekuma (2011). A study of co-integration models with applications.
James Stock (1987). Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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How to Cite This Article

David Boansi. 2014. \u201cDeterminants of Agricultural Export Trade: A Co-Integration Analysis for Cotton Lint Exports from Chad\u201d. Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 14 (GJSFR Volume 14 Issue D4).

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

chad co-integration cotton lint Déterminant export growth international trade

Submission ReceivedMay 4, 2014
Peer Review Double Blind
Handling Editor
Accepted May 28, 2014
Published June 7, 2014

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June 21, 2014

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Article Matrices

Total Score: 111

Country: Germany

Subject: Global Journal of Science Frontier Research - D: Agriculture & Veterinary

Authors: David Boansi (PhD/Dr. count: 0)

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Total Views: 4708

Total Downloads: 2197

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