Magisterarbeit, 2012
74 Seiten, Note: MSc in Finance and Investment
This study aims to measure the technical efficiency of Ethiopian insurance companies from 2006-2010 using Data Envelopment Analysis (DEA) and the Malmquist index. It seeks to identify benchmarking companies, rank them by efficiency, and determine factors influencing their efficiency. The economic implications of the findings are also considered.
CHAPTER ONE: Introduction: This chapter introduces the study, providing background information on the Ethiopian insurance industry and highlighting the problem of measuring technical efficiency. It outlines the study's objectives, significance, scope, and limitations, setting the stage for the subsequent chapters by establishing the research context and its importance in understanding the performance of Ethiopian insurance companies. The chapter concludes with an overview of the paper's structure.
CHAPTER TWO: Related Literature Review: This chapter reviews existing literature on efficiency measurement, focusing on both theoretical and empirical studies. The theoretical section explores the concept of efficiency, different approaches to its measurement (parametric and non-parametric), and a detailed explanation of Data Envelopment Analysis (DEA), including constant and variable returns to scale models, and the Malmquist index. The empirical section examines previous research on the efficiency of insurance companies, providing a context for the current study and identifying gaps in the existing literature that this research aims to fill. This chapter lays the groundwork for the methodology employed in the subsequent chapter by providing a robust theoretical foundation and a clear understanding of prior research.
CHAPTER THREE: Research Methodology: This chapter details the research design, data sources, and methods used in the study. It describes the specific DEA and Malmquist index approaches employed to analyze the technical efficiency of Ethiopian insurance companies. This involves outlining the selection of inputs and outputs used in the analysis, justifying the choices made based on relevant literature and industry standards. The chapter also specifies the statistical techniques used for analyzing the data, including the Mann-Whitney U test to identify factors influencing efficiency. The clear explanation of the methodology ensures the reproducibility and transparency of the research findings.
Insurance companies, DEA, Data Envelopment Analysis, Malmquist index, Technical efficiency, Scale efficiency, Productivity change, Ethiopian insurance industry, Benchmarking, Efficiency analysis.
This document is a comprehensive language preview of an academic study. It includes the title, table of contents, objectives and key themes, chapter summaries, and keywords. The preview provides a structured overview of the research, making it easier to understand the scope and focus of the study.
The study focuses on measuring the technical efficiency of Ethiopian insurance companies between 2006 and 2010. It uses Data Envelopment Analysis (DEA) and the Malmquist index to analyze the efficiency of these companies, aiming to identify high-performing companies (benchmarks), rank them based on efficiency, and understand the factors influencing their efficiency.
The core methodologies employed are Data Envelopment Analysis (DEA) and the Malmquist index. These are used to assess the technical efficiency and productivity change of the Ethiopian insurance companies. The study also utilizes statistical techniques, including the Mann-Whitney U test, to identify factors influencing efficiency.
The main objectives include: measuring the technical efficiency of Ethiopian insurance companies; applying DEA and the Malmquist index; identifying factors affecting efficiency; benchmarking insurance companies; and analyzing the economic implications of the efficiency levels.
Key themes include technical efficiency, the application of DEA and Malmquist index methodologies, identification of efficiency-influencing factors, benchmarking of insurance companies, and the economic implications of efficiency levels within the Ethiopian insurance industry.
Chapter One (Introduction): Introduces the study, providing background information on the Ethiopian insurance sector, stating the research problem, objectives, significance, scope, and limitations. It also outlines the paper's structure.
Chapter Two (Literature Review): Reviews existing literature on efficiency measurement, covering theoretical concepts (efficiency, DEA, Malmquist index) and empirical studies on insurance company efficiency.
Chapter Three (Methodology): Details the research design, data sources, and methods used, specifically outlining the DEA and Malmquist index applications, input/output selection, and statistical analysis techniques.
Keywords include: Insurance companies, DEA, Data Envelopment Analysis, Malmquist index, Technical efficiency, Scale efficiency, Productivity change, Ethiopian insurance industry, Benchmarking, Efficiency analysis.
The study's significance lies in its contribution to understanding the performance of the Ethiopian insurance industry. By identifying efficient and inefficient companies and the factors driving these differences, the study can inform policy decisions and improve the overall efficiency of the sector.
The study utilizes data related to the performance of Ethiopian insurance companies. The specific types of data (inputs and outputs used in the DEA analysis) are detailed in Chapter Three (Research Methodology).
The intended audience is primarily academics and researchers interested in efficiency analysis, the insurance industry, and the Ethiopian economy. The findings could also be valuable to policymakers and insurance industry professionals.
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