A value chain statistical definition of construction and the performance of the sector
AbstractExisting statistical analyses often fail to capture the true scope of the economic impact of the construction sector. They account for the construction of buildings, civil engineering, and construction specialized activities, as defined by Section F of the Statistical Classification of Economic Activities (or NACE) used in the European Community, but overlook related activities such as the manufacture of construction products and architectural and engineering services. This shortcoming is addressed and a wider definition of the construction sector is proposed that encompasses the whole value chain of the industry. Going beyond the ‘core’ construction sector section (Section F), activities from other NACE sectors that fully or principally depend upon or are functional to core construction activities are considered. These ‘non-core’ classes relate to ‘pre-production’ activities, such as the provision of intermediate goods and services; various ‘support’ activities and ‘post-production’ functions such as maintenance and management services. Equivalent broad definitions of the construction sector based on the North American Industry Classification System (NAICS) and the International Standard Industrial Classification (ISIC) are also developed to allow for optimum comparisons across countries and over time. Using detailed data from Finland and the Community Innovation Survey 4 (CIS4), core and non-core activities are characterized and quantified. Evidence suggests that indicators measuring the composition, structure, value added, skills, and R&D input and output of the construction sector change substantially when a broader definition of the sector is applied. Policies targeting the ‘wide’ construction sector, and exploiting the innovation, growth and productivity leverage potential of non-core activities are thus advocated.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Construction Management and Economics.
Volume (Year): 29 (2011)
Issue (Month): 7 (March)
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Web page: http://www.tandfonline.com/RCME20
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