Abstract

The Egyptian cotton crop have experienced challenges in recent years from a drop in the quantity produced and exported, to a decrease in cultivated areas, this have affected the production quantity and value of exports. This study aims to bridge the research gap by exploring the nexus between cultivated area of cotton in Egypt, Relative profitability (cotton-clover/rice-clover), export quantity of cotton, the export prices of Egyptian cotton and the export prices of American cotton (Pima). In order to clarify the relationship between the variables studied and the cultivated area of cotton, the research use time series data from 1980 to 2016, using the Autoregressive Distributed Lag (ARDL) bound test to the find the co-integration between the variables after checking the stationarity in chosen variables with different unit root tests e.g. Augmented Dickey-Fuller (ADF) and the Phillips-Perron (PP). The results show, significant factors that influence the cultivated area of cotton include Relative profitability (cotton-clover/rice-clover), export quantity of cotton in long run term. Which underscores the need for government support in agriculture, in particular, cotton crop support. The increasing trend of cotton cost with declining revenue and decreasing in exports quantity is the main cause of decreased cultivated area of Egyptian cotton. Research recommends that support should be given to cotton farmers, in the form of agricultural equipment or training in good agricultural practices or set a price for cotton guaranteeing a decent profit margin for the farmers. The government (policy makers) should improve the productivity of cotton with the purpose of reducing the total costs and increasing the degree of competitiveness of the Egyptian cotton. Some effective policy measures may include but not limited to, farmer training programs and providing better extension services that will led to the capacity development of farmers.

Highlights

  • The agricultural sector is considered as one of the most important sectors in Egypt’s economy, its contribution to the country’s GDP is around 14% (Dhehibi et al, 2016)

  • The bounds testing does not require the pre-testing of each variable in the model for unit roots owing to its appropriateness irrespective of whether the regressors are I(0), I(1) or mutually cointegrated, but we need to, the application of unit root tests prior to using the autoregressive distributed lag (ARDL) Model, might still be necessary in order to ensure that the regress and is integrated of I(1) and I(0) or the variables are integrated of order 2

  • This means that, all of the variables are integrated of order I(1) and the relative profitability is integrated of order I(0)

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Summary

Introduction

The agricultural sector is considered as one of the most important sectors in Egypt’s economy, its contribution to the country’s GDP is around 14% (Dhehibi et al, 2016). A robust competitor that exceeds the quality of global varieties due to its physical, technological properties and superior spinning consistency compared to last varieties that are identical in terms of length grade; This resulted due to the efforts submitted by all related sectors which include research, agricultural, production, marketing and industrial sectors. This continued until the mid-1980s (Ahmed, 2016)

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