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The potential of small-scale spatial data in regional science

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  • Rolf Bergs

    (Policy Research & Consultancy)

  • Rüdiger Budde

    (RWI – Leibniz Institute for Economic Research: RWI – Leibniz-Institut für Wirtschaftsforschung e.V.)

Abstract

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Suggested Citation

  • Rolf Bergs & Rüdiger Budde, 2022. "The potential of small-scale spatial data in regional science," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(2), pages 97-110, August.
    • Handle: RePEc:spr:jahrfr:v:42:y:2022:i:2:d:10.1007_s10037-022-00172-3
    DOI: 10.1007/s10037-022-00172-3
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    References listed on IDEAS

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    1. Irune Ruiz-Martínez & Javier Esparcia, 2020. "Internet Access in Rural Areas: Brake or Stimulus as Post-Covid-19 Opportunity?," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    2. Brennan, Noreen & Ryan, Mary & Hennessy, Thia & Cullen, Paula & Dillon, Emma, 2016. "Going beyond FADN: The use of additional data to gain insights into extension service use across European Union Member States," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 118(3), pages 1-9, December.
    3. Robert Finger & Nadja El Benni, 2021. "Farm income in European agriculture: new perspectives on measurement and implications for policy evaluation," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(2), pages 253-265.
    4. Michalek, Jerzy, 2022. "Environmental and farm impacts of the EU RDP agri-environmental measures: Evidence from Slovak regions," Land Use Policy, Elsevier, vol. 113(C).
    5. Charlotta Mellander & José Lobo & Kevin Stolarick & Zara Matheson, 2015. "Night-Time Light Data: A Good Proxy Measure for Economic Activity?," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-18, October.
    6. Tilottama Ghosh & Sharolyn J. Anderson & Christopher D. Elvidge & Paul C. Sutton, 2013. "Using Nighttime Satellite Imagery as a Proxy Measure of Human Well-Being," Sustainability, MDPI, vol. 5(12), pages 1-32, November.
    7. Vernon Henderson & Adam Storeygard & David N. Weil, 2011. "A Bright Idea for Measuring Economic Growth," American Economic Review, American Economic Association, vol. 101(3), pages 194-199, May.
    8. Katarzyna Kopczewska, 2022. "Spatial machine learning: new opportunities for regional science," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 713-755, June.
    9. J. Paul Elhorst, 2022. "The dynamic general nesting spatial econometric model for spatial panels with common factors: Further raising the bar," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 249-267, December.
    10. Marynia Kolak & Luc Anselin, 2020. "A Spatial Perspective on the Econometrics of Program Evaluation," International Regional Science Review, , vol. 43(1-2), pages 128-153, January.
    11. Galster, George, 2002. "An economic efficiency analysis of deconcentrating poverty populations," Journal of Housing Economics, Elsevier, vol. 11(4), pages 303-329, December.
    12. Maxim L. Pinkovskiy, 2017. "Growth discontinuities at borders," Journal of Economic Growth, Springer, vol. 22(2), pages 145-192, June.
    13. Luc Anselin & Sarah Williams, 2016. "Digital neighborhoods," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 9(4), pages 305-328, October.
    14. Rolf Bergs, 2018. "The detection of natural cities in the Netherlands—Nocturnal satellite imagery and Zipf’s law [Die Abgrenzung natürlicher Städte in den Niederlanden: Nachtsatellitenbilder und das Zipf-Gesetz]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(2), pages 111-140, October.
    15. Karl, Helmut & Klemmer, Paul, 1990. "Einbeziehung von Umweltindikatoren in die Regionalpolitik," RWI Schriften, RWI - Leibniz-Institut für Wirtschaftsforschung, volume 50, number 50.
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