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http://dx.doi.org/10.14400/JDC.2014.12.12.571

Case Study on the Jeollabuk-do Local Water Supply Efficiency by using DEA and Malmquist Index  

Choi, Kyoung-Ho (Dept. of Basic Medical(Statistics), Jeonju University)
Cho, Jung-Keun (Dept. of Radiological Science, Jeonju University)
Publication Information
Journal of Digital Convergence / v.12, no.12, 2014 , pp. 571-580 More about this Journal
Abstract
Korea's water supply efficiency is low, due to weak industrial structure, such as small scale, regional disparities in the management and services, unreasonable problem in a use and management of interregional water resources. This study investigated changes in the productivity of Jeollabuk-do local water supply service by using analysis of efficiency by data envelopment analysis and Malmquist Index Analysis. As a result, 6 office is showed that the value of scale efficiency is 1 and productivity index per gun in mainly seemed below average. Therefore these offices should strive to increase their productivity. This study is differentiated from earlier studies in the aspect of measuring change of productivity by not only DEA but also Malmquist productivity analysis. Therefore it will contribute to increase productivity of water supply in Jeollabuk-do.
Keywords
Data envelopment analysis; Malmquist index; Efficiency; Local water supply;
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1 Ministry of Environment, 2012 Water works statistics, Seoul: Ministry of Environment, 2013.
2 T. H. Kim, B. C. Kim, An analysis of the Korean non-life insurance industry's dynamic efficiency change by using DEA Window model, Journal of the Korean Data Analysis Society, 8(6), pp. 2427-2444, 2006.
3 S. Lim, A method for selection of input-output factors in DEA, IE Interfaces, 22(1), pp. 44-55, 2009.   과학기술학회마을
4 M. H. Park, Efficiency and productivity analysis, Seoul: Korean Studies Information, 2008.
5 C. W. Nam, M. S. Lee, Evaluating the efficiency of public health center-focused on public health centers in Gyeongbuk, Journal of the Korean Urban Management Association, 24(1), pp. 65-87, 2011.
6 B. Kang, B. Leem, S. Yi, Analyzing management efficiency variation of gobal shipping firms with DEA and DEA/Window, Journal of the Korean Data Analysis Society, 11(6), pp. 2905-2918, 2009.
7 T. M. Ryu, K. M. Lee, J. B. Hong, Efficiency analysis of regional cooperative operating office with DEA-AR, Journal of the Korean Data Analysis Society, 14(4), pp. 2177-2187, 2012.
8 M. J. Farrel, The measurement of productivity efficiency, Journal of Royal Statistical Society(Series A), 120(3), pp. 253-267, 1957.   DOI   ScienceOn
9 A. Charnes, W. W. Cooper, E. Rhodes, Measuring the efficiency of decision making units, European Journal of Operational Research, 2, pp. 429-444, 1978.   DOI   ScienceOn
10 R. D. Banker, A. Charnes, W. W. Cooper, Some inefficiencies in data envelopment analysis, Management Science, 30(9), pp. 1078-1092, 1984.   DOI   ScienceOn
11 S. M. Kim, The study on the productivity of local waters by using Malmquist index, Journal of Water Policy & Economy, 18, pp. 127-136, 2011.
12 H. J. Choi, Y. H. Seol, The study on the productivity of local warwes in Chunbuk, Regional Policy Study, 24(2), pp. 57-77, 2013.
13 J. D. Lee, D. H. Oh, Theory of efficiency analysis, Seoul: Jiphil Media, 2012.
14 E. H. Seo, Statistical analysis using SPSS 21, Seoul: Freedom Academy, 2013.
15 M. H. Huh, Introduction to social network analysis using R, Seoul: Freedom Academy, 2012.
16 Y. Lee, J. H. Kim, Y. J. Choi, Analysis on economic ripple effects of the Korean water industry, Journal of Environmental Policy, 10(3), pp. 49-71, 2011.
17 S. M. Kim, An evaluation of local waters efficiency by using SFA, Journal of Water Policy & Economy, 19, pp. 73-89, 2012.