Research for Government Procurement in Taiwan – Firefighters’ Protective Equipment for Example
International Journal of Economics and Management Studies |
© 2021 by SSRG - IJEMS Journal |
Volume 8 Issue 2 |
Year of Publication : 2021 |
Authors : Spring C. Hsu, Min-Hsuan Tsai |
How to Cite?
Spring C. Hsu, Min-Hsuan Tsai, "Research for Government Procurement in Taiwan – Firefighters’ Protective Equipment for Example," SSRG International Journal of Economics and Management Studies, vol. 8, no. 2, pp. 1-4, 2021. Crossref, https://doi.org/10.14445/23939125/IJEMS-V8I2P101
Abstract:
The procurement by government agencies in Taiwan must carry out under the regulations of the Government Procurement Act. According to the act, three tendering ways include the Lowest Tender, the Most Advantageous Tender, and the Pre-Qualified Lowest Tender. This study applies the data envelopment analysis (DEA) to explore fire department procurement efficiency under the act. From the public data from 2016 to 2019, the procurement of firefighters’ protective equipment is analyzed. This study shows that due to most firefighters’ equipment has special specifications; the adoption of the Most Advantageous Tender tends to increase year by year. However, the most inefficient one among these three procurement ways is the Most Advantageous Tender, mainly because of the procurement process's long average Time. To improve the Most Advantageous Tender's procurement efficiency, this study suggests that the average Time of the Most Advantageous Tender processes should reduce by 55%.
Keywords:
government procurement, Lowest Tender, Most Advantageous Tender, DEA, efficiency frontier.
References:
[1] R. D. Banker, A. Charnes, and W. W. Cooper, Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 30(1984) 1078-1092.
[2] C. C. Chao, Evaluation on the performance of fire brigades using data envelopment analysis - with Banqiao, Zhonghe, Xinzhuang and Sanchong, New Taipei City as examples, the thesis of Civil Engineering and Hazard Mitigation, China University of Technology (In Chinese) (2012).
[3] A. Charnes, W. W. Cooper, and E. Rhodes Measuring the efficiency of decision-making units, European Journal of Operational Research, 2 (1978) 429-444.
[4] R. Dyson, R. Allen, A. Camanho, V. Podinovski, C. Sarrico, and E. Shale, Pitfalls and protocols in DEA. European Journal of Operational Research. 132(2)(2001) 245-259.
[5] M. J. Farrell, The measurement of productive efficiency, Journal of the Royal Statistical Society: Series A, 120(3)(1957) 253-290.
[6] M. M. Kosor, L. M. Perovic, and S. Golem, Efficiency of public spending on higher education: a data envelopment analysis for EU-28, Problems of Education in the 21st Century, 77(3)(2019) 396-409.
[7] K. W. Li, Evaluating the performance on fire brigades in Yunlin County by using data envelopment analysis approach, the thesis of Executive Master of Business Administration Program, Dayeh University (2015). (In Chinese)
[8] K. Li, Z. Ma, and G. Zhang, Evaluation of the supply-side efficiency of China’s real estate market: a data envelopment analysis, Sustainability, 11(288)(2019) 1-18.
[9] B. W. Taylor III, Introduction to Management Science (12th Edition), Pearson (2015).
[10] G. Thabrani, M. Irfan, H. A. Mesta, and L. Arifah, Efficiency analysis of local government health service in West Sumatra Province using data envelopment analysis (DEA), Proceedings of the 1st International Conference on Economics, Business, Entrepreneurship, and Finance (ICEBEF 2018), Bandung, Indonesia, (2018) 783-789.
[11] Y. X. Zeng, Performance evaluation of Taiwan fire department by using DEA model, the thesis of Industrial Engineering and Management, National Kaohsiung University of Science and Technology (In Chinese) (2019).
[12] Government e-Procurement System, Public Construction Commission of Executive Yuan, Taiwan (Accessed 5 Tanuary 2021), https://webtest.pcc.gov.tw/tps/pss/tender.do?method=goNews
[13] Government Procurement Act amended and promulgated by presidential decree, Taiwan (2016).