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A statistical framework for the analysis of productivity and sustainable development

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  • Oulton, Nicholas

Abstract

To analyse the consequences of the changing economic structure of the UK, we need a set of statistics broken down by industry that are consistent with the whole economy measures available from the national accounts. The theory of growth accounting then provides a framework in which the contribution of each industry to the national economy can be measured and assessed. This paper identifies the obstacles currently facing a researcher trying to implement this approach. It makes a number of recommendations for the improvement of official statistics.

Suggested Citation

  • Oulton, Nicholas, 2004. "A statistical framework for the analysis of productivity and sustainable development," LSE Research Online Documents on Economics 19963, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:19963
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    Cited by:

    1. Ajayi, V. & Pollitt, M .G., 2022. "Green growth and net zero policy in the UK: some conceptual and measurement issues," Cambridge Working Papers in Economics 2255, Faculty of Economics, University of Cambridge.
    2. Nicholas Oulton & Sylaja Srinivasan, 2005. "Productivity growth in UK industries, 1970-2000: structural change and the role of ICT," Bank of England working papers 259, Bank of England.

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    More about this item

    Keywords

    National accounts; growth accounting; productivity;
    All these keywords.

    JEL classification:

    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

    Statistics

    Access and download statistics

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