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Success in sectoral export promotion and economic and environmental indicators: a multisectoral modelling analysis for the UK

Author

Listed:
  • Grant Allan

    (Deparrment of Economics, University of Strathclyde)

  • Christos Barkoumas

    (Deparrment of Economics, University of Strathclyde)

  • Andrew Ross

    (Deparrment of Economics, University of Strathclyde)

  • Ashank Sinha

    (Deparrment of Economics, University of Strathclyde)

Abstract

UK policymakers are seeking to use the levers of a more active industrial policy to develop economic opportunities, including through new and expanded trading opportunities. At the same time, the UK Government has committed to a net zero greenhouse gas emissions target by 2050. While increases in exports are expected to raise economic activity, it is unclear what impact this will have on UK energy use and emissions. With a main plank of the UK strategy the development of _Sector Deals", it is unknown whether this is also true for specific industrial sectors. We examine this empirically in a multisectoral Computable General Equilibrium model of the UK that captures the interdependence between economic activity, energy use and emissions. Our results suggest that while economic outcomes move in the desired direction there are mixed impacts on energy use, UK territorial industrial emissions, and the energy- and emissions-intensity of the UK economy. Notably, we identify instances where growing exports in specific sectors help to meet the objectives of both the Clean Growth Strategy and Industrial Strategy.

Suggested Citation

  • Grant Allan & Christos Barkoumas & Andrew Ross & Ashank Sinha, 2020. "Success in sectoral export promotion and economic and environmental indicators: a multisectoral modelling analysis for the UK," Working Papers 2008, University of Strathclyde Business School, Department of Economics.
  • Handle: RePEc:str:wpaper:2008
    as

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    References listed on IDEAS

    as
    1. Blanchflower, David G. & Oswald, Andrew J., 2005. "The Wage Curve Reloaded," IZA Discussion Papers 1665, Institute of Labor Economics (IZA).
    2. Manuel Alejandro Cardenete & Ferran Sancho, 2012. "The Role Of Supply Constraints In Multiplier Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 24(1), pages 21-34, June.
    3. Allan, Grant J. & Ross, Andrew G., 2019. "The characteristics of energy employment in a system-wide context," Energy Economics, Elsevier, vol. 81(C), pages 238-258.
    4. Adams, Philip D & Higgs, Peter J, 1990. "Calibration of Computable General Equilibrium Models from Synthetic Benchmark Equilibrium Data Sets," The Economic Record, The Economic Society of Australia, vol. 66(193), pages 110-126, June.
    5. Philip D. Adams & Peter J. Higgs, 1990. "Calibration of Computable General Equilibrium Models from Synthetic Benchmark Equilibrium Data Sets," The Economic Record, The Economic Society of Australia, vol. 66(2), pages 110-126, June.
    6. Black, Angela J & FitzRoy, Felix R, 2000. "Earning Curves and Wage Curves," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(5), pages 471-486, November.
    7. Allan, Grant & Hanley, Nick & McGregor, Peter & Swales, Kim & Turner, Karen, 2007. "The impact of increased efficiency in the industrial use of energy: A computable general equilibrium analysis for the United Kingdom," Energy Economics, Elsevier, vol. 29(4), pages 779-798, July.
    8. Grant Allan & Kevin Connolly & Peter McGregor & Andrew G Ross, 2019. "Economic activity supported by offshore wind: a hypothetical extraction study," Working Papers 1911, University of Strathclyde Business School, Department of Economics.
    9. Bill Collier, 2000. "The UK Wage Curve: New Evidence from the British Household Panel Survey," Studies in Economics 0010, School of Economics, University of Kent.
    10. Grant Allan & Peter McGregor & Kim Swales, 2017. "Greening regional development: employment in low-carbon and renewable energy activities," Regional Studies, Taylor & Francis Journals, vol. 51(8), pages 1270-1280, August.
    11. Grant Allan & Kevin Connolly & Andrew G Ross & Peter McGregor, 2018. "Incorporating CO2 emissions into macroeconomic models through primary energy use," Working Papers 1818, University of Strathclyde Business School, Department of Economics.
    12. Angela J. Black & Felix R. FitzRoy, 2000. "Earning Curves and Wage Curves," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(5), pages 471-486, November.
    13. Bell, Brian & Nickell, Stephen & Quintini, Glenda, 2002. "Wage equations, wage curves and all that," Labour Economics, Elsevier, vol. 9(3), pages 341-360, July.
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    More about this item

    Keywords

    energy policy; industrial strategy; trade policy; emissions;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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