The Application of Cobb-Douglas Production Cost Functions to Construction Firms in Japan and Taiwan
Cheng-Ping Lin
Additional contact information
Cheng-Ping Lin: Department of Civil Engineering, National Taipei University of Technology, Taipei, Taiwan, R.O.C.
Review of Pacific Basin Financial Markets and Policies (RPBFMP), 2002, vol. 05, issue 01, 111-128
Abstract:
One of the most attractive issues in the construction industry today is cost reduction because depression is coming after Japan's bursting bubbles and spreading to other Asian countries. However, most researchers do not know how to solve this problem because they still know very little about the relationship between cost and output for the construction industry. Therefore, the author tried to analyze the cost function of construction firms with due consideration of their available resources by using Cobb-Douglas Production and Cost Functions in this paper. By statistical analysis, the cost and production functions of Japan's and Taiwan's construction firms were discovered.
Keywords: Cost Reduction; Capacity; Cobb-Douglas Theory (search for similar items in EconPapers)
JEL-codes: G1 G2 G3 (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219091502000663
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:rpbfmp:v:05:y:2002:i:01:n:s0219091502000663
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219091502000663
Access Statistics for this article
Review of Pacific Basin Financial Markets and Policies (RPBFMP) is currently edited by Cheng-few Lee
More articles in Review of Pacific Basin Financial Markets and Policies (RPBFMP) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().