Farming is the way of life for smallholder farmers of Ethiopian which is characterized with low productivity. Thus poor are failing to achieve rapid economic growth due to food insecurity. Hence the best possible means of achieving economic development is through increasing sustainable allocation resource efficiency. This study employed stochastic frointer approach to assess the levels of efficiency and Tobit model to assess the determinants of efficiency by collecting data from 154 sample household in Gudeya Bila district, western parts of Ethiopia.
Table of Contents
1. Introduction
2. Methods
2.1. Description of the study area
2.2. Sampling techniques and questionaries’ design
2.3. Model specification for efficiency and determinants of efficiency
3. Results
3.1. Estimation maximum likelihood estimate
3.2. Technical, allocative and economic efficiency score
3.3. Distribution of technical allocative and economic efficiency
3.4. Determinants of Technical, allocative and economic efficiency of maize and its marginal effects
4. Conclusion and policy implication
Objectives & Themes
This study aims to assess the technical, allocative, and economic efficiency of smallholder maize producers in the Gudeya Bila district of Ethiopia, while identifying the socio-economic and environmental determinants that influence these efficiency levels.
- Measurement of maize production efficiency using the stochastic frontier approach.
- Application of the Tobit model to identify key determinants of efficiency.
- Impact of environmental factors, specifically crop loss due to wild animals.
- Role of technological adoption, such as mobile phone usage for market information.
- Assessment of infrastructure and farming techniques on sustainable agricultural growth.
Excerpt from the Book
2.1. Description of the study area
This study was carried out in western parts of Ethiopia in low lands of Gudeya Bila districts. The farming system in the district is mainly mixed crop-livestock production in which livestock provides source of manure for crop and the residual from crop output was used as source of feeding for livestock. Agriculture is mainly characterized by rain-fed production system which is used for livelihood sustenance. Maize is one of the major cereals grown in the study area which farming is mostly with limited oxen and no mechanized faring system. The district is bordered by Jima Ganeti and BakoTibe districts in east, Guto Gida and Sibu Sire districts in west, Abe Dongoro district in north and Gobbuu Sayyoo district in south. It is located at 104 from the zonal capital and 274km from Addis Ababa, capital of Ethiopia to west. It lies between 370 01' 28''N latitude and 90 17'23'' S longitudes. Altitude ranges between 500 to 3500 meters above sea level (GBWOANR, 2020)
Summary of Chapters
1. Introduction: Discusses the low productivity of smallholder farming in Ethiopia and the critical need to improve resource allocation efficiency to combat food insecurity and rural poverty.
2. Methods: Details the multi-stage sampling technique used to select 154 households and outlines the stochastic frontier and Tobit models applied to estimate efficiency and its determinants.
3. Results: Presents the findings regarding technical, allocative, and economic efficiency scores and analyzes how variables like land slope, mobile phone usage, and wildlife interference impact producer outcomes.
4. Conclusion and policy implication: Recommends policy interventions such as the promotion of soil conservation, better agricultural information dissemination via mobile networks, and tourism-based wildlife management.
Keywords
Maize production, smallholder farmers, stochastic frontier, Tobit model, technical efficiency, allocative efficiency, economic efficiency, Ethiopia, Gudeya Bila, agricultural productivity, farm management, resource allocation, land conservation, rural development, subsistence farming.
Frequently Asked Questions
What is the primary focus of this research?
The research focuses on analyzing the efficiency levels of smallholder maize farmers in the Gudeya Bila district of Ethiopia to understand how different variables impact their agricultural productivity.
What are the central themes of the study?
The study centers on the application of the stochastic frontier model to measure efficiency, the analysis of socio-economic and environmental determinants of production, and the investigation into how external factors like wildlife damage and information access affect farmers.
What is the core research objective?
The objective is to quantify technical, allocative, and economic efficiency and determine the specific factors—such as land slope, household experience, and off-farm income—that lead to disparities in farmer performance.
Which scientific methodology is employed?
The study employs a quantitative approach using a stochastic frontier model for production estimation and a censored Tobit regression model to analyze the determinants of efficiency.
What is examined in the main body of the work?
The main body covers the theoretical model specifications, the description of the study area, the estimation of efficiency scores, and the detailed marginal effects of various independent variables on technical and economic performance.
Which keywords best describe this study?
Key terms include maize production, stochastic frontier, Tobit model, technical efficiency, and smallholder farmers in the Ethiopian context.
How does the loss of crops due to wildlife affect efficiency?
The findings indicate that crop loss to wildlife has a statistically significant negative impact on technical and economic efficiency, as farmers spend more time guarding fields rather than performing yield-enhancing activities like weeding.
What role does mobile phone usage play in farming efficiency?
Mobile phone usage is found to have a positive and significant effect on allocative efficiency, as it enables farmers to receive timely information on production methods, market prices, and weather forecasts from government agencies.
Why are younger farmers potentially more efficient than older ones?
The study suggests that younger farmers are more efficient because they may be more adaptable to new production technologies and advancements compared to older counterparts who are often more reluctant to change traditional practices.
- Citation du texte
- Tolesa Tesema (Auteur), 2021, Economics Efficiency of Maize Production in Gudeya Bila District, Ethiopia, Munich, GRIN Verlag, https://www.grin.com/document/1162275
