摘要(英) |
This study uses Data Envelopment Analysis (DEA) to estimate the technical efficiency of Taiwan′s construction industry manufacturers in 2006, and uses the Tobit Model to analyze the impact of domestic and foreign technology purchases, employee training expenditures, online purchases or sales, and factory age on technical efficiency. The results of the research can provide reference for the subsequent improvement of operating efficiency of Taiwan′s construction industry. In addition to the entire sample, this study also divides the size of the manufacturers into three groups based on the number of employees, and further analyzes under different scale, whether the factors affecting the technical efficiency of the manufacturers would be different.
On the first stage, according to the estimation from the results of DEA technical efficiency, this study found that under the assumption of constant returns to scale (CRS), the average technical efficiency of all samples is 0.145 (CRS_TE), and under the assumption of variable returns to scale (VRS), 0.155 (VRS_TE). Compared with large-scale manufacturers, the technical efficiency of small and medium-sized manufacturers is significantly higher.
On the second stage, the Tobit Model regression analysis is used. The estimation of the results shows that the most important variable that affects the technical efficiency of construction companies is the expenses on employee training, which consistently presents a significantly positive impact on all samples and manufacturers of all sizes. As for the variables of technology purchase, it has a significantly positive correlation with the technical efficiency of medium-sized manufacturers. The two variables, online procurement or sales, and plant age, have no obvious relevance to the technical efficiency of construction manufacturers. |
參考文獻 |
參考文獻
1.洪維廷與尚瑞國(2005),「台灣地區上市櫃建設公司純粹管理效率評估:四階段資料包絡分析法支應用」,中華民國建築學會建築學報,第53期,第1-20頁。
2.陳斐君(2009),「我國營建業生產力及效率追趕分析:共同邊界資料包絡分析法之應用」,淡江大學碩士論文。
3.陳博亮、周劍虹、鄭一俊、林志蒼與戴玉珍(2010),「台灣地區上市上櫃營建公司經營效率分析」,中華民國建築學會建築學報,第73期,第25-50頁。
4.羅大德(2009),「台灣營造產業經營績效評比之研究─資料包絡分析法之應用」,國立成功大學碩士論文。
5.Banker, R. D., A. Charnes and William W. Cooper,(1984), “ Some models for estimating technical and scale inefficiencies in data envelopment analysis”, Management Science, 30(9), 1078-1092.
6.Charnes, A., Cooper, W. W. and Rhodes, E. (1978), “Measuring the efficiency of decision making units”, European Journal of Operational Research, 2(6), 429-444.
7.Ellis L.C., Osabutey, K.W. and Debrah, A. (2014), “The potential for technology and knowledge transfers between foreign and local firms: A study of the construction industry in Ghana”, Journal of World Business 49(4), 560-571.
8.Ferrell, M. J. ( 1957), “The measurement of productive efficiency”, Journal of Royal Statistical Society, 120(30), 253-281.
9.Kapelko, M., Horta, I.M., Camanho, A.S. and Oude, L. A. (2015), “Measurement of input-specific productivity growth with an application to the construction industry in Spain and Portugal”, International Journal of Production Economics, 166, 64-71.
10.Kapelko, M. (2017), “Measuring inefficiency for specific inputs using data envelopment analysis: Evidence from construction industry in Spain and Portugal”, Central European Journal of Operations Research 26(1), 43–66.
11.Mahmood, R., Zahari, A.S.M., Yaacob, N.M. and Zin, S.M .(2017), "Small firm performance: an empirical analysis in Malaysian housing construction industry," International Journal of Housing Markets and Analysis, Emerald Group Publishing, 10(1), 50-65.
12.Manley, K. (2008), “Against the odds: Small firms in Australia successfully introducing new technology on construction projects”, Research Policy, 37(10), 1751-1764.
13.Reichstein, T., Ammon, J. S. and Gann, D.M. (2010), “Break on through: Sources and determinants of product and process innovation among UK construction firms”, Computing & Library Services, University of Huddersfield, 15(6), 601-625.
14.Setiawan, M., Effendi, N., Heliati, R. and Waskito, A. (2018), “Technical efficiency and its determinants in the Indonesian micro and small enterprises”, Journal of Economic Studies, 46(6), 1157-1173.
15.You, T. and Zi, H. (2007), “The economic crisis and efficiency change: evidence from the Korean construction industry”, Applied Economics, 39(14), 1833-1842.
網路資料
1.內政部營建署(2020),營造業承攬工程造價限額工程規模範圍申報淨值及一定期間承攬總額認定辦法,檢自https://www.cpami.gov.tw/。
2.內政部營建署(2020),主要國家營建生產毛額占GDP比率 ,檢自https://www.moi.gov.tw/files/site_node_file/7418/04.%E7%87%9F%E5%BB%BA.pdf。
3.全國法規資料庫(2020),營造業法,檢自https://law.moj.gov.tw/LawClass/LawAll.aspx?pcode=D0070110。
4.行政院主計總處(2016),中華民國行業標準分類,檢自https://www.dgbas.gov.tw/ct.asp?xItem=38933&ctNode=3111&mp=1。
5.行政院公共工程委員會(2020),108年政府採購執行情形,檢自https://www.pcc.gov.tw/cp.aspx?n=B88540806C20DCA0 (2020.05)。
6.經濟部中小企業處(2020),中小企業白皮書,檢自https://www.moeasmea.gov.tw/list-tw-2345。 |