Growth in Total Factor Productivity in the Egyptian Agriculture Sector: Growth Accounting and Econometric Assessments of Sources of Growth

Dhehibi, Boubaker; El-Shahat, Ali Ahmed Ibrahim Ali; Frija, Aymen; Hassan, Aden-Aw

doi:10.5539/sar.v5n1p38

Cited by 13 publications

(10 citation statements)

References 15 publications

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“…Moreover, a significant negative effect of the infrastructure variable on the productivity gains of the agricultural sector in Egypt was found, which might indicate a form of low integration of farmers within large neighboring markets. These findings take a deeper look at their rural infrastructure strategy, knowing that it may affect the productivity of the agricultural sector [9].…”

Section: Ebatamentioning

confidence: 91%

Total Factor Productivity and Environmental Efficiency of the Most Important Cereals Crops in Egypt

El-Rasoul

Ramadan

Elseify

et al. 2020

AJEBA

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Purpose of the Study: Egyptian agriculture suffers from many problems related to the use of available economic resources, the most important of which is lack of optimal utilization of resources, wasteful use of agricultural production inputs, reduced efficiency of irrigation water use, and the fertility of agricultural lands are deteriorating, in addition to increasing rates of encroachments on agricultural lands and shifting it from agricultural use to other non-agricultural uses, which limits the agricultural sector ability to achieve high growth rates, especially with the increasing global production of biofuels from crops that individuals consume as food, including wheat and corn, which constitutes an explicit threat to Egyptian food and national security. Objectives: The research aimed to: Estimate the changes in the sources and components of the total productivity of the factors for the main cereal crops in Egypt in the presence and absence of carbon dioxide emissions, Environmental impact assessment of changes in the productivity of these crops. Methods: The study applied analytical approaches to measure changes in productivity, as parameter analysis methods are used as methods of the aggregate production function, and non-parameterized methods of estimation, in addition to (Malmquist, 1953) which is one of the most important indicators of measurement changes in productivity and relies on a Data Envelopment Analysis (DEA) to measure efficiency and changes in TFP productivity and identify the sources of changes in productivity through changes in technical competence and technological change, as the two most important components of the change in total productivity. Results: Wheat Crop: Wheat crop by estimating the change in the different efficiencies of the wheat crop with co2 emissions, it was clear that a decrease in technological change (TC) during the study period, and thus a decrease in the average change in the total factor productivity (TFP), while without co2 emissions effect, the average change in the total factor productivity of (TFPc) indicates an increase in the actual wheat efficiency which is low due to the environmental impact of the emissions. Rice Crop: Rice crop by estimating the change in the different efficiencies of the rice crop with co2 emissions, it became clear that a decrease in the average technological change (TC), thus increasing the average change in the total factor productivity of the (TFP), whereas, without co2 emissions, it was found that the average change in the total factor productivity of the (TFPc) for the study areas was higher. Summer Maize Crop: It was clear that the average technological change (TC) for the summer maize crop with co2 emissions, decreased during the study period, and therefore a decrease in the average change in the total factor productivity of the (TFP), but without co2, an increase in the annual average of the change in technical efficiency (TEC), and a decrease in the average technological change (TC), i.e. in the use of technology, and an increase in the average change in the total factor productivity (TFPc).

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Section: Ebatamentioning

confidence: 91%

Total Factor Productivity and Environmental Efficiency of the Most Important Cereals Crops in Egypt

El-Rasoul

Ramadan

Elseify

et al. 2020

AJEBA

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“…Cotton is an important textile crop, accounting for 90% of all-natural fibres used in the textile industry [1]. The textile industry plays a significant role in the Egyptian economy and wider society, contributing around 14% towards GDP [2] and employing 25.8% of the industrial workforce [3]. Among global cotton producers, Egyptian cotton has a reputation for producing the highest quality cotton [4].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Image Classification for Grading Egyptian Cotton Lint

Fisher¹,

Rady²,

El-Banna³

et al. 2021

Preprint

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Egyptian cotton is one of the most important commodities to the Egyptian economy and is renowned globally for its quality, which is currently graded by manual inspection. This has several drawbacks including significant labour requirement, low inspection efficiency, and influence from inspection conditions such as light and human subjectivity. This current work uses a low-cost colour vision system, combined with machine learning to predict the cotton lint grade of the cultivars Giza 86, 97, 90, 94 and 96. Unsupervised and supervised machine learning approaches were explored and compared. Three different supervised learning algorithms were evaluated: linear discriminant analysis, decision trees and ensemble modelling. The highest accuracy models (77.3-98.2%) used an ensemble modelling technique to classify samples within the Egyptian cotton grades: Fully Good, Good, Fully Good Fair, Good Fair and Fully Fair. The unsupervised learning technique k-means showed that human error is more likely to occur when classifying lint belonging to the higher quality grades and underlined the need for an intelligent system to replace manual inspection.

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“…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). This sector also accounts for about 25.8% of the total employment (Note 1).…”

Section: Introductionmentioning

confidence: 99%

Current Situation of Egyptian Cotton: Econometrics Study Using ARDL Model

Ahmed¹,

Delin²

2019

JAS

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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.

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Growth in Total Factor Productivity in the Egyptian Agriculture Sector: Growth Accounting and Econometric Assessments of Sources of Growth

Cited by 13 publications

References 15 publications

Total Factor Productivity and Environmental Efficiency of the Most Important Cereals Crops in Egypt

Total Factor Productivity and Environmental Efficiency of the Most Important Cereals Crops in Egypt

Intelligent Image Classification for Grading Egyptian Cotton Lint

Current Situation of Egyptian Cotton: Econometrics Study Using ARDL Model

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