The UK Geography of the e-Society: A National Classification
Paul A Longley,
Richard Webber and
Chao Li
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Paul A Longley: Department of Geography, University College London, Pearson Building, Gower Street, London WC1E 7HB, England; and Centre for Advanced Spatial Analysis, University College London, 1-19 Torrington Place, London WC1E 7HB, England
Richard Webber: Department of Geography, University College London, Pearson Building, Gower Street, London WC1E 7HB, England
Chao Li: Centre for Advanced Spatial Analysis, University College London, 1-19 Torrington Place, London WC1E 7HB, England
Environment and Planning A, 2008, vol. 40, issue 2, 362-382
Abstract:
It is simplistic to think of the impacts of new information and communication technologies (NICTs) in terms of a single ‘digital divide’, or even a small number of them. As developments in what has been termed the ‘e-society’ reach wider and more generalised audiences, so it becomes appropriate to think of digital media as having wider-ranging but differentiated impacts upon consumer transactions, information gathering, and citizen participation. This paper describes the development of a detailed, nationwide household classification based on levels of awareness of different NICTs; levels of use of NICTs; and their perceived impacts upon human capital formation and the quality of life. It discusses how multivariate classification of individuals and households makes it possible to provide a context for detailed case studies, and hence to identify how policy might best improve both the quality and degree of society's access to NICTs. The primary focus of the paper is to describe how this bespoke classification is developed, but it also illustrates how it may be used to investigate a range of regional and subregional policy issues. As such, we illustrate how the classification provides a valuable context for study of the e-society and for people's engagement with NICT In more general terms, we anticipate the likely net benefits of combining the most appropriate methods, techniques, datasets, and practices that are used in the public and private sectors.
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:40:y:2008:i:2:p:362-382
DOI: 10.1068/a3912
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