DOI QR코드

DOI QR Code

A Study on the Forecasting of Employment Demand in Kenya Logistics Industry

  • Received : 2015.02.05
  • Accepted : 2015.04.23
  • Published : 2015.04.30

Abstract

This study focused on the alternative to estimate the demand of employment in Kenya logistics. First of all, it investigated the importance and necessity of search about the present circumstance of the country's industry. Next, it reviewed respectively the concept and limitation of several previous models for employment, including Bureau of Labor Statistics, USA; ROA, Netherlands; IER (Institute for Employment Research), UK; and IAB, Germany. In regard to the demand forecasting of employers in logistics, it could anticipate more realistically the future demand by the time-lag approach. According to the findings, if value of output record 733,080 KSH million in 2015 and 970,640 in 2020, compared to 655,222 in 2013, demand on wage employment in logistics industry would be reached up to 95,860 in 2015 and 104,329 in 2020, compared to about 89,600 in 2012. To conclude, this study showed the more rational numbers about the demand forecasting of employment than the previous researches and displayed the systematic approach to estimate industry manpower in logistics.

Keywords

References

  1. Blanchard, L. P. (2013), "US-Kenya Relations: Current Politics and Security Issues," Congressional Research Service.
  2. Borghans, L. (1993), "Educational Choice and Labormarket Information, Maastricht: Research Centre for Education and the Labor Market," ROA Dissertation Series No 1.
  3. East African Community Secretariat (2012), East African Community Facts and Figures.
  4. Grip, A. de and J. A. M. Heijke (1998), Beyond Manpower Planning: ROA's Labour Market Model and Its Forecast to 2002, Maastricht: ROA.
  5. Kenya National Bureau of Statistics (2003-2011), Annual Economic Survey.
  6. Kenya National Bureau of Statistics (2012), Statistical Abstract.
  7. Kenya National Bureau of Statistics (2012), Kenya Facts and Figures.
  8. Korea International Trade Association, KITA (2012), African Logistics Market Study.
  9. Michael N. and K. Schömann (2002), Forecasting Labour Markets in OECD Countries, Measuring and Tackling Mismatches, Cheltenham, UK: Edward Elgar.
  10. Njiru, C. (2011), 2nd Transport and Economic Corridor-LAPSSET, Ministry of Transport.
  11. Nyarandi, J. O. (2012), Port Development in Kenya, Now and the Future (Vision 2030), Kenya Port Authority.
  12. Shin, Y. J. et al.(2013), Study on prospecting of Africa's logistics industry and developing human training program in the logistics sector focusing Kenya in east Africa, KMOU International Exchange & Cooperation Project for Shipping, Port and International Logistics.
  13. Tessaring, M. (2003), "Manpower Requirement by Levels of Qualification in West Germany until 2010. Implications of the 1989 IAB/Prognos Projection for the Qualification Structure of Jobs," Labour Market Research Topics, No. 4, Institute of Employment Research, Nurenberg.
  14. World Bank(2012), Doing Business in the East African Community in 2012.
  15. http://www.bls.gov/emp/ep_tech_documentation.htm
  16. http://www2.warwick.ac.uk/fac/soc/ier/software/lefm/