Loading...
|
Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/131220
|
Title: | 台灣上市連接器產業公司經營績效之探討 - 資料包絡分析法之應用 A Study on the Operating Performance of Taiwan-listed Connector Companies - Application of DEA |
Authors: | 吳嘉席 Wu, Chia-Hsi |
Contributors: | 黃慶堂 Huang, Chin-Tan 吳嘉席 Wu, Chia-Hsi |
Keywords: | 台灣上市連接器產業公司 資料包絡分析法 Tobit迴歸模型 經營績效 Taiwan-listed Connector Companies DEA Tobit Regression Model Business Performance |
Date: | 2020 |
Issue Date: | 2020-08-03 18:19:21 (UTC+8) |
Abstract: | 台灣的連接器產業在台灣經濟發展中扮演著重要的角色,其產品應用領域包含NB、消費電子、聲學模組、光學、汽車及醫療等;近年來,由於中國的經濟崛起,人口紅利不在,再加上紅色供應鏈快速崛起,導致台灣的連接器廠商獲利受到影響,毛利不斷被壓縮,造成極大的競爭壓力。因此,本研究主要探討台灣上市連接器產業之經營效率,預期從中找出績效最好的標竿企業,比較影響經營效率的各種因素,作為經營績效改善之參考。
本研究選擇了台灣上市連接器產業的22家公司,作為經營績效研究的樣本公司,數據採集自2016年至2019年,透過資料包絡分析法(DEA)進行CCR及BCC模型的分析、差額分析及敏感性分析,最後再以Tobit迴歸模型,進行影響經營績效效率值的探討。研究結果顯示:
一、CCR及BCC模式:就個別廠商來看,以太空梭、健和興、鴻名、信邦、維熹及貿聯-KY表現最好,可提供給其他相對無效率的廠商作為經營效率改善之參考。
二、敏感性分析:對整體技術效率影響最大的投入及產出項變數為總資產及營業收入淨額,影響最小的則是產出項變數營業利益。
三、Tobit迴歸分析:地理位置(X1)、員工教育程度(X2)及董監事(含經理人)持股比例(X6),呈現正相關顯著;員工流動率(X3)及員工平均年齡(X5),則呈現負相關顯著。 The connector industry plays an important role in the economic development in Taiwan. The product application fields include NB, consumer electronics, acoustic modules, optics, automotive and medical, etc. In recent years, the absence of a demographic dividend, coupled with the rapid rise of the red supply chain due to China`s economic rise, resulting in Taiwan`s connector manufacturers profit impact, gross margin slack, and have great competitive pressure. Therefore, this paper mainly explores the operational efficiency of Taiwan listed connector industry, and expects to find out the best-performing benchmark enterprises, comparing the factors affecting the efficiency of operation, as a reference for improving business performance.
22 companies listed in Taiwan`s markets are selected as the sample companies of operating efficiency study, the data is collected from 2016 until 2019, CCR and BCC models of the data envelopment analysis (DEA) and difference analysis and sensitivity analysis are used to derive findings. Finally, the Tobit regression model is carried out to discuss operating performance efficiency. The results show that:
First, CCR and BCC model: in terms of individual manufacturers, the Space Shuttle, K.S. Terminals, Welltend, SINBON, Well Shin and Bizlink performed best, can be provided to other relatively inefficient manufacturers as a reference for operational efficiency improvement.
Second, sensitivity analysis: the most impact on the overall technical efficiency of input and output variables for total assets and net operating income, the least impact is the output variable operating benefits.
Third, Tobit regression analysis: location (X1), employee education level (X2) and the Stockholding of Directors and Supervisors (X6), showing positive correlation. Employee turnover (X3) and average age (X5) showed negative correlation. |
Reference: | 一、中文部分 1.丁誌魰,謝青燕(2019)。旅館業經營績效之研究-以台灣上市櫃之旅館為例。環境與管理研究,20(1),97-113。 2.方顯光,余惠芳,白國明(2016)。東協概念食品產業經營績效評估—資料包絡分析法的應用。華人經濟研究,14(1),43-63。 3.王東寶(2016)。歐洲地區航空公司生產力評估。國立交通大學經營管理研究所博士學位論文,未出版,新竹。 4.白佩錦(2019)。台灣積體電路製造產業之效率分析。國立臺灣師範大學管理學院全球經營與策略研究所碩士學位論文,未出版,台北。 5.何堃維(2017)。美國智慧電網營運效率評估與區域比較之探討。國立臺灣大學管理學院商學研究所碩士學位論文,未出版,台北。 6.林灼榮,蔡榮德,邱敬貿,康家維(2007)。研發投入與人力資本對台灣紡織與通訊產業生產效率攸關性之研究。東吳經濟商學學報,(58),89-120。 7.陳文儀(2018)。臺灣上市櫃IC設計廠商之人力資本效率-網絡資料包絡分析法之應用。國立交通大學經營管理研究所碩士學位論文,未出版,新竹。 8.陳世宗(2006)。資料包絡分析法在企業綪效分析之運用與實證探討—以中國電視事業公司為例。管理與資訊學報,11,159-193。 9.陳俊合(2018)。臺灣營建業上市公司經營績效評估—資料包絡分析法應用。臺灣建築學會「建築學報」,106,17-30。 10.陳珮瑜,江慧貞(2018)。台灣人工智慧產業公司經營績效之研究。管理資訊計算2018年,7(2),332-341。 11.黃乾怡,蔡明峰,黃匯華(2009)。應用資料包絡分析法(DEA)於六標準差專案之績效評估。技術學刊,24(2),117-130。 12.楊世傳(2016)。台北市運動中心之績效評估分析。國立交通大學經營管理研究所碩士學位論文,未出版,新竹。 13.楊馥如,江蕙如(2011)。公司治理對我國銀行業技術效率之影響。績效與策略研究,8(1),43-59。 14.賴柏霖,陳盈秀,高瑞鐘(2016)。機場私有化政策對營運效率之影響-以英國為例。航運季刊,25(2),31-50。 15.駱豐裕(2004)。DEA方法應用在評估台電公司服務所經營效率之研究。國立清華大學工業工程與工程管理學系,博士學位論文,未出版,新竹。 16.薄喬萍(2007)。績效評估之資料包絡分析法。臺北:五南。 17.簡禎富(2005)。第十章 : 資料包絡分析法,決策分析,2005年12月,取自 : https://dalab.ie.nthu.edu.tw/
二、英文部分 1.Banker, R. D., Charnes, A., and Cooper, W. W. (1984). Some Modules for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, Vol. 30, 1078-1092. 2.Beamon, B. M. (1996). Measuring supply chain performance. International Journal of Operations and Production Management, 19(3), 275-292. 3.Bing Jiang, Lu Yang & Jun Fang (2008). The Evaluation of Enterprises’ Sustainable Superiority Degree of Technical Innovation Based on DEA Method. J. Serv. Sci. & Management, 2008, 1, 255-258. 4.Charnes, A, Cooper, W. W. and Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units, European Journal of Operational research, 2, 429-444. 5.Farrell, M. J. (1957). The Measurement of Productive Efficiency, Journal of the Royal Statistical Society, Series A, Vol. 120, Part 3, 253-281. 6.Fortuin, L.(1988). Performance indicators-why, where and how. European Journal of Operational Research, 34, 1-9. 7.Huangxin Li, Bin Hu (2014). Study on Efficiency Optimization of R&D Resources Allocation in Shanghai. American Journal of Industrial and Business Management, 2014, 4, 217-222. 8.Jaesung Choi, David C. Roberts, EunSu Lee (2015). Productivity Growth in the Transportation Industries in the United States: An Application of the DEA Malmquist Productivity Index. American Journal of Operations Research, 2015, 5, 1-20. 9.Kast, Fremont (1980). Scanning the Future Environment. California Management Review, Vol.23, No 1, 22-33. 10.Kexin Liu (2016). Researches on the Inter-Provincial R&D Innovation Efficiency for Chinese High-Tech Industry. Modern Economy, 2016, 7, 921-932. 11.Linhai Mei, Wen Shao (2016). The Effect of Firm Size on Regional Innovation Efficiency in China. Modern Economy, 2016, 7, 1035-1049. 12.Luiz Aizemberg, Marcos Costa Roboredo, Thiago Graça Ramos, João Carlos C. B. Soares de Mello, Lidia Angulo Meza, Alessandro Martins Alves (2014). Measuring the NBA Teams’ Cross-Efficiency by DEA Game. American Journal of Operations Research, 2014, 4, 101-112. 13.Peter F. Drucker (1970). The Practice of Management. Oxford: Heinemann Professional. 14.Qiting Chen, Fengdan Li (2017). Empirical Analysis on Efficiency of Listed Real Estate Companies in China by DEA. iBusiness, 2017, 9, 49-59. 15.Sanjay K. Singh, Amit P. Jha (2017). Efficiency and Effectiveness of State Transport Undertakings in India: A DEA Approach. Theoretical Economics Letters, 2017, 7, 1646-1659. 16.Venkatraman N.& Ramnnujam V. (1986). Measurement of Business Performance in Strategy Research, A Comparison of Approaches. Academy of Management Review, Vol.11, 801-814. 17.Wang Jui-Chih, Hsiao Hsing-Chin (2014). The Association between the Operating Efficiency of Taiwanese FDI Enterprises in Mainland China and the Investment Performance of Their Parent Companies. Scientific Research Publishing Chinese Studies, 2014, 3, 100-112. |
Description: | 碩士 國立政治大學 行政管理碩士學程 106921041 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0106921041 |
Data Type: | thesis |
DOI: | 10.6814/NCCU202000767 |
Appears in Collections: | [行政管理碩士學程(MEPA)] 學位論文
|
Files in This Item:
File |
Description |
Size | Format | |
104101.pdf | | 1777Kb | Adobe PDF2 | 145 | View/Open |
|
All items in 政大典藏 are protected by copyright, with all rights reserved.
|