Proceedings of the 2015 International Conference on Economy, Management and Education Technology

Predicting Manpower Demand in Jiangsu Province of China

Authors
Wanli Zhang
Corresponding Author
Wanli Zhang
Available Online August 2015.
DOI
10.2991/icemet-15.2015.30How to use a DOI?
Keywords
Predicting; distributed lag model; Manpower demand; Labor multiplier approach
Abstract

Manpower predicting is a strategic managerial practice that construction organizations should carry out to ensure appropriate number of workforces. To date, many studies have predicted the manpower demand of construction industry in China using methods like gray model and labor productivity model. This paper, however, first develops a mathematical model, combining distributed lag model with labor multiplier approach to improve the accuracy of manpower demand forecast in Jiangsu Province of China. Deriving data from National Bureau of Statistics of China and some project managers, the manpower predicting model can be used as a managerial tool to forecast future labor demand so that optimal number of workforces can be reached.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Economy, Management and Education Technology
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2015
ISBN
10.2991/icemet-15.2015.30
ISSN
2352-5398
DOI
10.2991/icemet-15.2015.30How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wanli Zhang
PY  - 2015/08
DA  - 2015/08
TI  - Predicting Manpower Demand in Jiangsu Province of China
BT  - Proceedings of the 2015 International Conference on Economy, Management and Education Technology
PB  - Atlantis Press
SP  - 136
EP  - 139
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemet-15.2015.30
DO  - 10.2991/icemet-15.2015.30
ID  - Zhang2015/08
ER  -