J Lopes
Investment in Construction and Economic Growth in Developing Countries
Lopes, J; Ruddock, L; Ribeiro, LF
Authors
L Ruddock
LF Ribeiro
Abstract
The development of a model of interdependence between investment in construction and gross domestic product (GDP) per capita, based on a long-term trend, for the developing countries of Sub-Saharan Africa (SSA) is presented. The study follows previous research undertaken by others who have investigated the relationship between investment in construction and economic development and found a positive correlation between the share of construction in GDP and the level of national income. The hypothesis tested is: there is a minimum level of investment in construction in developing countries (measured in terms of construction value added [CVA] as a percentage of GDP) to achieve sustainable growth in the economy. The study is based on data acquired on 15 of the countries in SSA over 22 years and the sample is split into two groups: one in which GDP per capita is rising, the other in which GDP per capita is falling. This research puts forward evidence that there is a critical level of CVA/GDP (at 4–5%) below which a relative decrease in construction volume corresponds directly to a decreasing growth in GDP per capita. The converse does not appear to be true. Implications and recommendations for public policy for the concerned countries are discussed.
Citation
Lopes, J., Ruddock, L., & Ribeiro, L. (2002). Investment in Construction and Economic Growth in Developing Countries. Building Research and Information, 30(3), 152-159. https://doi.org/10.1080/09613210110114028
Journal Article Type | Article |
---|---|
Publication Date | May 1, 2002 |
Deposit Date | Sep 19, 2007 |
Journal | Building Research and Information |
Print ISSN | 0961-3218 |
Publisher | Routledge |
Peer Reviewed | Peer Reviewed |
Volume | 30 |
Issue | 3 |
Pages | 152-159 |
DOI | https://doi.org/10.1080/09613210110114028 |
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search