Measuring the global construction industry: improving the quality of data

Ruddock, Les

doi:10.1080/01446190210159908

Cited by 33 publications

(20 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These offices, being public in nature, are often wanting in terms of quality of services. For that matter, Ruddock (2002) has emphasized the need to improve the national statistical systems. Statistics are always collected and compiled about it along with other sectors of the national economy.…”

Section: Constructing Construction Statisticsmentioning

confidence: 99%

Reviewing building construction statistics in Turkey: Stakeholders’ perspective

Yitmen¹,

Akıner²,

Marar³

2012

Habitat International

View full text Add to dashboard Cite

Section: Constructing Construction Statisticsmentioning

confidence: 99%

Reviewing building construction statistics in Turkey: Stakeholders’ perspective

Yitmen¹,

Akıner²,

Marar³

2012

Habitat International

View full text Add to dashboard Cite

“…These offices, being public in nature, are often wanting in terms of quality of services. For that matter, Ruddock (2002) has emphasized the need to improve the national statistical systems. It is against this background that the Kenyan system is being reformed.…”

Section: Conceptual Challenges To Statistical Frameworkmentioning

confidence: 99%

“…A CIB TG31 Survey reported in Ruddock (2002) found that non-public agencies are greatly involved in the production of statistics on the construction sector at national levels. A comprehensive information system integrating both public and non-public producers therefore needs to be put in place along the lines suggested by Ofori (1988).…”

Section: Conceptual Challenges To Statistical Frameworkmentioning

confidence: 99%

“…It should be noted that informal activities in this case do not include illegal dealings; rather they are activities that given the formal orientation of the system of national accounting are not captured and reported in the final accounts. Dealing with the informal sector is noted as being of major concern to many developing countries to the extent that a CIB Working Commission on Construction in Developing Countries has taken up the issue as one of its agenda (Ruddock, 2002).…”

Section: Conceptual Challenges To Statistical Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

Reforming the national statistical system of Kenya: Policy implications for the development of building construction statistics

K'Akumu¹

2009

Habitat International

View full text Add to dashboard Cite

“…Other authors (Ruddock, 2000(Ruddock, & 2002Ruddock and Lopes, 2006) indicated the limitations of this approach and suggested that time series statistics of one country, rather than cross-sectional data across countries, was a more effective approach to permit the identification of trends. In a further study, Lopes et al (2002) applied these recommendations to developing countries in subSaharan Africa.…”

Section: Introductionmentioning

confidence: 99%

A macroeconomic regression analysis of the European construction industry

Pellicer

Eaton

2009

Engineering, Construction and Architectural Management

View full text Add to dashboard Cite

EmeraldPellicer Armiñana, TM.; Pellicer Armiñana, E.; Eaton, D. (2009) PURPOSE:This paper analyses the international construction sector from a macroeconomic point of view through production functions. The aim is to contribute additional knowledge on the European construction sector, highlighting differences in the industry among European countries DESIGN/METHODOLOGY/APPROACH:In order to analyse the sector panel data from 1996-2005 for nine European countries were used. Raw data was obtained from Eurostat (Bach Project).Variables for the production functions were chosen after a correlation analysis.Annual turnover was taken as the dependent variable, whereas total assets and personnel costs were the independent variables. The econometric regression models considered were linear (bivariate and multivariate) and logarithmic (CobbDouglas). FINDINGS:In spite of the limitations stated bellow, there are some factors that can explain the results obtained, such as the diverse preponderance of small and medium enterprises and the different roles played by informal economy, migration and subcontracting in each of the countries. RESEARCH LIMITATIONS/IMPLICATIONS:Data collected by Eurostat is provided by the enterprises voluntarily. This implies a bias in the representativeness of the data. Thus, the discrepancies and inconsistencies in the results obtained are a direct consequence of the data limitations. Furthermore, the regression models obtained should be tested using 3 future data to predict the behaviour of the construction industry in each one of the countries. ORIGINALITY/VALUE:The use of production functions in the construction industry is a novel approach that should be further developed to gather more precise information on the behaviour of the sector. KEYWORDS: Europe -Macroeconomics -Production Functions -ConstructionSector -SMEs CATEGORY OF PAPER: Research paper 4 A MACROECONOMIC REGRESSION ANALYSIS OF THE EUROPEAN CONSTRUCTION INDUSTRY ABSTRACTThe construction industry is vital for economies as a whole, even though it is not as fully analysed as are other sectors. The lack of scholarly attention is more pronounced when international construction is examined from a macroeconomic point of view. In order to fill partially this gap, a macro-economic regression analysis approach to the international construction sector of Europe is described in this paper. It analyses the European construction industry from two dimensions: time and country. Data from 1996-2005 for nine countries were used. The analysis was performed using production functions. Regression models were constructed that could be tested using future data to predict the behaviour of the construction industry in each of the countries. The discrepancies and inconsistencies in the results obtained were a direct consequence of the limitations of the data. Nevertheless, among the significant factors which explain the results are the diverse preponderance of small and medium enterprises and the different contributions of the informal economy, migration and s...

show abstract

Measuring the global construction industry: improving the quality of data

Cited by 33 publications

References 5 publications

Reviewing building construction statistics in Turkey: Stakeholders’ perspective

Reviewing building construction statistics in Turkey: Stakeholders’ perspective

Reforming the national statistical system of Kenya: Policy implications for the development of building construction statistics

A macroeconomic regression analysis of the European construction industry

Contact Info

Product

Resources

About