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Improving the Quality of Regional Economic Indicators in the UK: A Framework for the Production of Supply and Use and Input Output Tables for the Four Nations

Author

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  • Sharada Nia Davidson
  • James Black
  • Kevin Connolly
  • Mairi Spowage

Abstract

With increased devolution of powers, the UK's departure from the EU and Covid-19 having different impacts on different areas of the UK, timely regional economic statistics are needed to support regional and national policymaking. This paper develops a strategic framework for the production of supply and use tables (SUTs) and input output tables (IOTs) for the four nations of the UK. Our proposed framework is supported by three pieces of analysis. First, we undertake a comprehensive review of different methods for constructing regional SUTs and IOTs and current international practise. Second, we discuss how the Scottish, Northern Irish and UK SUTs and IOTs are produced and the challenges faced in their construction. Third, we compare the existing Scottish IOT, produced using hybrid methods, with the Scottish IOT we obtain through top-down regionalisation of the UK IOT using location quotients. We conclude our paper by outlining nine key recommendations.

Suggested Citation

  • Sharada Nia Davidson & James Black & Kevin Connolly & Mairi Spowage, 2022. "Improving the Quality of Regional Economic Indicators in the UK: A Framework for the Production of Supply and Use and Input Output Tables for the Four Nations," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-14, Economic Statistics Centre of Excellence (ESCoE).
    • Handle: RePEc:nsr:escoed:escoe-dp-2022-14
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    References listed on IDEAS

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    4. Mairi Spowage & Sharada Nia Davidson, 2021. "Improving the Quality of Regional Economic Indicators in the UK: A Framework for Interregional Trade Data Collection and Estimation," Economic Statistics Centre of Excellence (ESCoE) Technical Reports ESCOE-TR-13, Economic Statistics Centre of Excellence (ESCoE).
    5. Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2016. "Import Competition and the Great US Employment Sag of the 2000s," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 141-198.
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    9. Michael L. Lahr & João Pedro Ferreira & Johannes R. Többen, 2020. "Intraregional trade shares for goods‐producing industries: RPC estimates using EU data," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1583-1605, December.
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    Cited by:

    1. Ching-Pong Poo, Mark & Wang, Tianni & Yang, Zaili, 2024. "Global food supply chain resilience assessment: A case in the United Kingdom," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    2. Sharada Nia Davidson & Kevin Connolly & Ciara Crummey & Niccolo Brazzelli & Mairi Spowage, 2022. "Building a Suite of Subnational Socioeconomic Indicators for the United Kingdom: Opportunities, Challenges and Recommendations," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-13, Economic Statistics Centre of Excellence (ESCoE).
    3. Josh Martin & Rebecca Riley, 2023. "Productivity measurement - Reassessing the production function from micro to macro," Working Papers 033, The Productivity Institute.

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    More about this item

    Keywords

    hybrid method; input-output; location quotient; non-survey method; regionalisation;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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