Application of Data Envelopment Analysis for Performance Evaluation:A Case of Local Governments Fiscal Data

碩士 === 崑山科技大學 === 資訊管理研究所 === 105 === According to the survey of the CommonWealth Magazine, the financial situation of 80% of Taiwan's local governments in counties and cities is not looking good. This makes the "financial problem" the first hurdle that must be overcome by the local l...

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Bibliographic Details
Main Authors: ZENG, HUAI-CHING, 曾懷慶
Other Authors: LAI, JENG-WEN
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/umjp4x
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Summary:碩士 === 崑山科技大學 === 資訊管理研究所 === 105 === According to the survey of the CommonWealth Magazine, the financial situation of 80% of Taiwan's local governments in counties and cities is not looking good. This makes the "financial problem" the first hurdle that must be overcome by the local leaders, and financial expenditure needs to be carefully assessed. As there are many ways to conduct performance evaluation, which indicators are to be used as the evaluation criteria is a specialized knowledge. This study aims to explore the financial performance of 22 local governments in Taiwan after the merger and reorganization of counties and cities, and the overall efficiency, technical efficiency and scale efficiency between 2011 and 2015 were analyzed through the CCR (Charnes, Cooper and Rhodes) and the BCC (Banker, Charnes and Cooper) Model of the Data Envelopment Analysis (DEA) method. The results show that, in the CCR Model, the counties and cities with the best overall efficiency are Tainan City and Changhua County, and in the BCC Model, New Taipei City, Tainan City, Changhua County and Chiayi City have the best technical efficiency. A further evaluation was performed in the study on the scale efficiency of the six largest cities, and it is found that Tainan City has the highest scale efficiency and Taichung City is the poorest. Finally, the impact of various annual expenditure items on the governance scores of the counties and cities was explored through a regression analysis.