Masterarbeit, 2016
70 Seiten, Note: 1.0
Ethiopian garment factories, technical efficiency, Data Envelopment Analysis (DEA), Stochastic Frontier Analysis (SFA), econometric modeling, firm-level productivity, market orientation, export orientation, ownership structure, Addis Ababa, developing economies.
The primary goal is to evaluate the technical efficiency of garment factories in Addis Ababa, Ethiopia, and pinpoint the factors influencing this efficiency. Both parametric and non-parametric approaches are used for data analysis.
The study employs both parametric (e.g., Cobb-Douglas, Translog) and non-parametric (Data Envelopment Analysis, DEA) econometric models to assess the technical efficiency of the garment factories.
The chapter detailing the methodology will specify the precise sources of data used in the analysis. The sampling design and techniques for data collection will also be detailed there.
Key themes include assessing technical efficiency, identifying influencing factors (such as factory size, market orientation, and ownership structure), comparing efficiency levels across different groups, applying parametric and non-parametric models, and determining the impact of ownership structure on efficiency.
The results chapter presents descriptive statistics, technical efficiency scores from DEA and SFA models, and econometric analysis results. It compares efficiency across subgroups and analyzes factors affecting efficiency, linking back to the theoretical framework. Specific findings regarding the determinants of technical efficiency are detailed in this section.
The thesis includes: Chapter One (Introduction), Chapter Two (Literature Review), Chapter Three (Methodology, Model Specification, and Description of Variables), and Chapter Four (Results and Discussion).
The literature review comprehensively examines existing research on firm efficiency, focusing on theoretical frameworks and empirical studies concerning the garment industry globally and in developing economies. It aims to contextualize the study and highlight any knowledge gaps it addresses.
The methodology chapter provides detailed definitions and descriptions of all variables used in the econometric models. This ensures clarity and transparency in the analysis.
The study's significance lies in its contribution to understanding the factors impacting the technical efficiency of garment factories in Addis Ababa, providing valuable insights for policymakers and industry stakeholders in improving productivity and competitiveness.
The introduction chapter will outline any limitations of the research, acknowledging potential constraints on the scope and generalizability of the findings.
Keywords include: Ethiopian garment factories, technical efficiency, Data Envelopment Analysis (DEA), Stochastic Frontier Analysis (SFA), econometric modeling, firm-level productivity, market orientation, export orientation, ownership structure, Addis Ababa, developing economies.
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