Value Added, Productivity and Performance of Few Selected Companies in Sri Lanka
Keywords:
Performance, productivity, value addedAbstract
Productivity is a measure of the rate at which inputs are transformed in to output. Hence productivity provides the technical relationship that exists between inputs and outputs. Productivity is actually looking at the more general issue of performance. Performance covers both overall economic and operational aspects. It can be described as the success of a company and its activities. So that value added, productivity and performance are closely inter connected. This paper attempt to measure the productivity of the 15 financial companies listed under the CSE using value added ratios such as (i) sales per employee ratio, (ii) labour cost to value added ratio, (iii) profit before tax to employee ratio, (iv) labour cost to sales ratio, and (vi) value added to employee ratio and to measure the performance with the ratios of (i) gross profit ratio,(ii) value added per rupee of fixed asset, (iii) return on capital employed, and (iv) net profit ratio using data representing the period of 2005-2009. The study finds that profit before tax per employee and value added per rupee of fixed asset (VAFA) is positively correlated and labour cost to sales (LS) and gross profit (GP) is also positively correlated. Further the labour cost to value added (LVA) is correlated with gross profit (GP) and value added per rupee of fixed asset and no relationship between the rest of the productivity and performance measures. R2 value of 0.471, 0.315, 0.198 and 0.887 (In all for models) which are in the models denote that 47.1%, 31.5%, 19.8%, and 88.7% of the observed variability in GP, NP, ROCE, and VAFA respectively in all the independent variables such as SE,VE,PE,LS, and LVA. Remaining 52.9%, 68.5%, 80.2% and 11.3% of the variance in GP, NP, ROCE, and VAFA related to other variables which are not explained, because they are not depicted in the models.
References
Aspen.U., Brathen.A., Cassel.P., Ericsson.P., & Marelius.M. (1991). in Stefan Tangen. (2005). Professional practice, Demystifying productivity and performance, International journal of productivity and performance management. 54(2), 34-36.
Avkiran, N.K. (1995). Developing an instrument to measure customer service quality in branch banking, International journal of banks marketing, 12(6), 10 -18.
Baily, M.N & Gersbach, H. (1995). Efficiency in manufacturing and the need for global competition. Brookings papers on economic activity, 307- 358.
Barrell, R. (2000). Productivity, innovation and economic performance, Cambridge University press, Cambridge, 1-37.
Chen, E.K.Y. (1997). Total factor productivity debate: determinants of economic growth in East Asia, Asian- Pacific Economic literature, 18 – 38.
Chien, T & Danw, S.Z. (2004). Performance measurement of Taiwan Commercial banks, International journals of productivity and performance measurement, 53(5), 425 -434.
Coelli, T. J., Rao, D.S.P& Battese, G. E. (1998). An introduction to efficiency and productivity analysis, Boston: Kluwer.
Covin, Slevins. (1989). Conceptualization and measurement of CE, individual -level model of corporate entrepreneurship.
Diewert, W.E. (1992). The measurement of productivity, Bulletin of economic research, 44(3), 163 – 198.
Elizabeth,D & Ellot, G. (2004). Efficiency customer service and financial performance among Australian financial institutions, International journal of bank marketing, 22(5), 319 – 342.
Felipe, J. (1999). Total factor productivity growth in East Asia: a critical survey, The Journal of Development Studies, 34, 1-4.
Grunberg, T. (2004). Performance improvement - towards a method for finding and prioritizing potential performance improvement areas in manufacturing operations; International journal of productivity and performance management, 53(1), 52-71.
Hill,T.(1993). Manufacturing strategy: The strategic management of the manufacturing function, 2nd ed, Open University, Macmillan, London.
Jackson,M. & Petersson, P. (1999,Sep 22-24). Productivity – an overall measure of competitiveness, proceedings of the 2nd workshop on intelligent manufacturing system, Leuven, 573-581.
Jorgenson,D.W.(1995). Productivity, .2, International comparisons of economic growth, Cambridge, MA: MIT press.
Kleinbaum, D.G., Kupper, L.L. & Muller, K.E, (1988).Applied Regression Analysis and other Multivariate method, Boston: PWS.
Lieberman & Jina kang. (……), How to measure productivity using value- added: A focus on pohang steel (POSCO),
Lieberman. M.B, Lau.L.J, and Williams. M.D, (1990). Firm level productivity and management influence: A comparison of U.S and Japanese auto mobile producers; Management Science, 36: 1193- 1215.
Lumpkin, G. T, and Dess, G.G. (1996); Clarifying the entrepreneurial orientation construct and linking it of performance academy of management review. 21.
Mammone. J.L, (1980). Productivity measurement; A conceptual overview, Management Accounting, PP.36-42.
Muellbuaer.J, (1991). Productivity and competitiveness, Oxford review of economic policy, 7(3), 99-117.
Muhammed Mahmood, (2003). The productivity performance of Australian manufacturing SMES, paper presented at the 2003, 16th Annual conference of small enterprise association and Newzealand.
Norworthy, J. R and Malmguist. D. H, (1983). Input measurement and productivity growth in Japaness and US manufacturing. American economic review, 73: PP. 947-967.
Sato, H. (2005). Total factors productivity versus realism revisited, the case of the south Korean steel industry, Cambridge journal of economics, 29: PP. 635- 655.
Sink, D. S & Tuttle.T.C, (1989); Planning and measurement in your organization of the future, Industrial engineering and management press, Norcross, GA, 170- 181.
Truett,L.J and Truett, D.B.(1997), The Korean metals industry and economic.
