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Subject: search.filters.subject.Data envelopment analysis

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    Measuring the Efficiency of Thai Commercial Banks during the COVID-19 Pandemic by Data Envelopment Analysis
    (2022-08-26)
    Leerojanaprapa, Kanogkan
    ;
    Bhundarak, Komn
    ;
    Atthirawong, Walailak
    ;
    Sirikasemsuk, Kittiwat
    This study intends to measure the comparative efficiency of Thai Commercial Banks. The performance data has been collected over the past 2 years, between 2020 and 2021 during the COVID-19 pandemic and then compared to performance during the normal period of 2017-2018. Data Envelopment Analysis (DEA) using Variable Return to Scale (VRS) is applied to measure banking performance. Through Intermediation Approach, specific input variables are considered: employee expenses, directors' remuneration expenses, premises and equipment expenses and deposits. The output variables, including loans to customers and investment, are also analyzed.The same time, through the Production Approach, these specific input variables are analyzed: employee expenses, directors' remuneration expenses, premises and equipment expenses, fees and service expenses, taxes and duties and interest expenses. The output variables, including interest income, fee and service income, deposit, and loans to customers, are used to analyze the efficiency. The results of analysis with the Intermediation Approach indicate 5 of 13 Thai Commercial Banks were considered relatively inefficient including BAY, BBL, KBANK, SCB and SCBT. In addition, CIMB is 1 of 13 Thai Commercial Banks is considered as relatively inefficient under the Production Approach.
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    Factors affecting efficiency of police stations in metropolitan police division 3
    (2019-07-08)
    Chaiwuttisak, Pornpimol
    The objective of this research is to evaluate the relative performance efficiency and determine the factors affecting the efficiency of 11 police stations in the Metropolitan Police Division 3. The first stage is to analyze the efficiency of the police station by Data Envelopment Analysis (DEA) that measures the variable return to scale (VRS) and considering output-orientation. Input variable is the number of police officers. Output variables are the percentage of arrests with remand in custody, from the total amount of arrests, the percentage of arrests with remand in traffic offences, from the total amount of traffic offences, an average score of people’s satisfaction on facilities of the police station, operational processes and the service of the staffs. Secondary data are collected from 11 police stations during January and December 2017, for a total of one year. Primary data, which are the satisfaction score, are obtained from the sample survey. For the second stage, the factors affecting the performance efficiency of the police station are analyzed using multiple regression analysis. The efficient score calculated in the first stage is defined as the dependent variable. The results show that 4 police stations or 36% pure are technically efficient and there is only one police station (or 9%) with scale efficiency. In addition, the population density within the area responsible for the police station has affected the pure technical efficiency of the police station. The number of community resources within the area responsible for the police station has an effect on the scale efficiency of the police station.
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    Factors affecting efficiency of police stations in Metropolitan Police Division 3
    (2019-01-01)
    Chaiwuttisak, Pornpimol
    The objective of this research is to evaluate the relative performance efficiency and determine factors affecting the efficiency of 11 police stations in the Metropolitan Police Division 3. The first stage is to analyze the efficiency of the police station by Data Envelopment Analysis (DEA) that measures the variable return to scale (VRS) and considering output-orientation. Input variable is the number of police officers. Output variables are the percentage of arrests with remand in custody, the percentage of arrests with remand in traffic offences, average score of people's satisfaction on facilities of the police station, operational processes and service of staffs. For the second stage, factors affecting the performance efficiency of the police station are analyzed using multiple regression analysis. Efficient score calculated in the first stage is defined as the dependent variable. The results show that 4 police stations are technically efficient and there is only one police station with scale efficiency. In addition, the population density within the area responsible for the police station has affected the pure technical efficiency of the police station. The number of community resources within the area responsible for the police station has an effect on the scale efficiency of the police station.
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    Analysis on savings and credit cooperatives efficiency in Thailand: A data envelopment analysis (DEA) approach
    (2014-01-01)
    Asawaruangpipop, Poramate
    ;
    Suwunnamek, Opal
    The microfinance institutions in Thailand were considered to be significant as the alternative financing source such as Savings and Credit Cooperatives (SCCs). While these institutions have been intensified in term of cooperative quantity and impact on entire economy, many SCCs' operations have still now been suffered from losses with negative returns and liquidity problems. This research therefore aims to investigate the efficiency of 732 SCCs in Thailand by using the databases of Cooperative Auditing Department, Ministry of Agriculture and Cooperatives of Thailand and evaluate SCCs' technical efficiencies on production and intermediation model by Data Envelopment Analysis (DEA) method. The efficiency evaluation results classified according to the types of cooperatives indicated that state enterprise cooperative had maximum quantity of efficient cooperatives and average efficiency score. When conducting the co-analysis on efficient cooperatives or best practiced cooperatives of each type of cooperative, it was found that private cooperatives had maximum efficiency in term of cooperative quantity and efficiency score. © 2014 Academic Journals Inc.