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General regionalization heuristic to map spatial heterogeneity of macroeconomic impacts: The case of the green energy transition in NRW

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  • Höwer, Daniel
  • Oberst, Christian A.
  • Madlener, Reinhard

Abstract

We discuss a vector-based regionalization heuristic to map the spatial variation of macroeconomic effects. Empirical regional studies of energy markets are often unfeasible due to a lack of data, particularly on demand and distribution infrastructure. The proposed heuristic is useful to model effects with high spatial heterogeneity and small overall net impact. As an illustration without loss of generality, we apply the heuristic to results from an input-output analysis on value creation effects of the energy transition in manufacturing sectors in the German federal state of North Rhine-Westphalia. The heuristic is applicable for regionalizing other macro-results, for example, from survey and other energy modeling studies.

Suggested Citation

  • Höwer, Daniel & Oberst, Christian A. & Madlener, Reinhard, 2019. "General regionalization heuristic to map spatial heterogeneity of macroeconomic impacts: The case of the green energy transition in NRW," Utilities Policy, Elsevier, vol. 58(C), pages 166-174.
    • Handle: RePEc:eee:juipol:v:58:y:2019:i:c:p:166-174
    DOI: 10.1016/j.jup.2019.05.002
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    Citations

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    Cited by:

    1. Rizzati, Massimiliano & De Cian, Enrica & Guastella, Gianni & Mistry, Malcolm N. & Pareglio, Stefano, 2022. "Residential electricity demand projections for Italy: A spatial downscaling approach," Energy Policy, Elsevier, vol. 160(C).
    2. Specht, Jan Martin & Madlener, Reinhard, 2018. "Business Models for Energy Suppliers Aggregating Flexible Distributed Assets and Policy Issues Raised," FCN Working Papers 7/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    3. Pereira, Guillermo Ivan & Specht, Jan Martin & Silva, Patrícia Pereira & Madlener, Reinhard, 2018. "Technology, business model, and market design adaptation toward smart electricity distribution: Insights for policy making," Energy Policy, Elsevier, vol. 121(C), pages 426-440.
    4. Heesen, Florian & Madlener, Reinhard, 2021. "Revisiting heat energy consumption modeling: Household production theory applied to field experimental data," Energy Policy, Elsevier, vol. 158(C).

    More about this item

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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