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A discriminant model for measuring competition intensity of construction market

Kunhui Ye (Faculty of Construction Management and Real Estate, Chongqing University, Chongqing, China)
Liyin Shen (International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China)
Weisheng Lu (Department of Real Estate and Construction, The University of Hong Kong, Pokfulam, Hong Kong)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 11 March 2014

960

Abstract

Purpose

“Competition intensity” is a factor in addressing competitiveness. The understanding on competition intensity is prerequisite to the formulation of industrial competition policies as well as firms’ competition strategies. In the construction context, whereas competition intensity can be measured using a number of traditional approaches (e.g. competitor number, concentration), the measurement is often criticized for poor efficiency. The purpose of this paper is to propose a new model for measuring competition intensity in light of the theory of discriminant analysis.

Design/methodology/approach

The proposed model is composed of predictor variables concerned with market operation as well as criterion variables that classify markets into a few predefined groups based on the values of competition intensity. Empirical data of China's local construction markets were collected to verify the proposed model.

Findings

The research findings indicate that the model can offset the drawbacks of traditional measures in the construction market.

Research limitations/implications

It is recommended using the proposed model to predict the competition trend of construction market especially when data for the traditional approaches are poor or not readily available.

Originality/value

The proposed model is a development of the literature in examining competition intensity.

Keywords

Citation

Ye, K., Shen, L. and Lu, W. (2014), "A discriminant model for measuring competition intensity of construction market", Engineering, Construction and Architectural Management, Vol. 21 No. 2, pp. 152-169. https://doi.org/10.1108/ECAM-05-2012-0053

Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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