IDEAS home Printed from https://ideas.repec.org/a/sae/envirc/v34y2016i1p135-150.html
   My bibliography  Save this article

Microsimulation and interregional input–output modelling as tools for multi-level policy analysis

Author

Listed:
  • Eveline van Leeuwen
  • Yoshifumi Ishikawa
  • Peter Nijkamp

Abstract

This article addresses the differentiated impacts of various sectors and branches in a multi-layer spatial system. The key question is whether in an interdependent spatial system – comprising a local, regional and national component – one or more core industries or sectors can be identified that may act as strategic handles for long-range sustainable development of a local economy. As a case study, the Cairngorms National Park in Scotland is used. In this area, policy makers – at different administrative levels – strongly emphasize the need for new sustainable economic development. We use a novel combination of stakeholder analysis (with household questionnaires) and multi-level interregional input–output analysis to identify which critical local key sectors are acting as carriers for local sustainability. The methodological vehicle employed in our study is based on microsimulation, as a tool to cope with limited data availability. This paper demonstrates how, even for small areas such as the Cairngorms National Park in Scotland, survey information combined with secondary data and existing input–output tables can be integrated into a useful policy toolbox for local sustainable development in a broader regional-national context.

Suggested Citation

  • Eveline van Leeuwen & Yoshifumi Ishikawa & Peter Nijkamp, 2016. "Microsimulation and interregional input–output modelling as tools for multi-level policy analysis," Environment and Planning C, , vol. 34(1), pages 135-150, February.
  • Handle: RePEc:sae:envirc:v:34:y:2016:i:1:p:135-150
    DOI: 10.1177/0263774X15614720
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0263774X15614720
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0263774X15614720?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. James B Davies, 2009. "Combining microsimulation with CGE and macro modelling for distributional analysis in developing and transition countries," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 49-56.
    2. Eveline S. Van Leeuwen, 2010. "The effects of future retail developments on the local economy: Combining micro and macro approaches," Papers in Regional Science, Wiley Blackwell, vol. 89(4), pages 691-710, November.
    3. Andreas Peichl, 2009. "The Benefits and Problems of Linking Micro and Macro Models — Evidence from a Flat Tax Analysis," Journal of Applied Economics, Taylor & Francis Journals, vol. 12(2), pages 301-329, November.
    4. Roberta Capello & Peter Nijkamp (ed.), 2009. "Handbook of Regional Growth and Development Theories," Books, Edward Elgar Publishing, number 12874.
    5. Lovelace, Robin & Ballas, Dimitris & Watson, Matt, 2014. "A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels," Journal of Transport Geography, Elsevier, vol. 34(C), pages 282-296.
    6. Sekhon, Jasjeet S., 2011. "Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i07).
    7. Eveline van Leeuwen & Piet Rietveld, 2011. "Spatial Consumer Behaviour in Small and Medium-sized Towns," Regional Studies, Taylor & Francis Journals, vol. 45(8), pages 1107-1119.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Benczúr, Péter & Kátay, Gábor & Kiss, Áron, 2018. "Assessing the economic and social impact of tax and benefit reforms: A general-equilibrium microsimulation approach applied to Hungary," Economic Modelling, Elsevier, vol. 75(C), pages 441-457.
    2. Müller, Kai-Uwe, 2014. "Analyzing economic policies that affect supply and demand: a structural model of productivity, labor supply and rationing," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100471, Verein für Socialpolitik / German Economic Association.
    3. Péter Benczúr & Gábor Kátay & Áron Kiss, 2012. "Assessing changes of the Hungarian tax and transfer system: A general-equilibrium microsimulation approach," MNB Working Papers 2012/7, Magyar Nemzeti Bank (Central Bank of Hungary).
    4. Andreas Peichl, 2016. "Linking Microsimulation and CGE models," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 167-174.
    5. Guirong Li & Jiajia Xu & Liying Li & Zhaolei Shi & Hongmei Yi & James Chu & Elena Kardanova & Yanyan Li & Prashant Loyalka & Scott Rozelle, 2020. "The Impacts of Highly Resourced Vocational Schools on Student Outcomes in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(6), pages 125-150, November.
    6. Siemiński, Paweł & Hadyński, Jakub & Poczta, Walenty, 2020. "Diversification Of Human Capital Resources In Rural And Urban Areas In Poland," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2020(1).
    7. Freshwater, David, 2014. "Vulnerability and Resilience: Two Dimensions of Rurality," Staff Papers 174103, University of Kentucky, Department of Agricultural Economics.
    8. Ralf Becker & Maggy Fostier, 2015. "Evaluating non-compulsory educational interventions - the case of peer assisted study groups," Economics Discussion Paper Series 1509, Economics, The University of Manchester.
    9. Jacquemet, N. & Luchini, S. & Malézieux, A. & Shogren, J.F., 2020. "Who’ll stop lying under oath? Empirical evidence from tax evasion games," European Economic Review, Elsevier, vol. 124(C).
    10. Manfred Walser & Roland Scherer, 2012. "How to Improve the Region’s Ability to Learn: A Micro-level Model on Regional Actor's Knowledge and (Informal) Learning Processes," Chapters, in: Knut Ingar Westeren (ed.), Foundations of the Knowledge Economy, chapter 9, Edward Elgar Publishing.
    11. Karima Kourtit, 2017. "Effective Clusters as Territorial Performance Engines in a Regional Development Strategy - A Triple-Layer DEA Assessment of the Aviation Valley in Poland," REGION, European Regional Science Association, vol. 4, pages 39-63.
    12. Marc Jim Mariano & George Verikios, 2022. "Understanding the Effects of Coronavirus on Australian Households: A Macro–Micro Analysis," Economic Papers, The Economic Society of Australia, vol. 41(3), pages 215-231, September.
    13. Roberta Capello & Andrea Caragliu, 2021. "Regional growth and disparities in a post‐COVID Europe: A new normality scenario," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 710-727, September.
    14. Michal Horvath & Matus Senaj & Zuzana Siebertova & Norbert Svarda, 2015. "The End of the Flat Tax Experiment in Slovakia," Discussion Papers 15/12, Department of Economics, University of York.
    15. Ademir Rocha & Fernando Perobelli, 2020. "Spatial distribution of logistics services in Brazil: A potential market analysis," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(1), pages 185-217, February.
    16. Ugo Fratesi & Giovanni Perucca, 2018. "Territorial capital and the resilience of European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(2), pages 241-264, March.
    17. Jasjeet Singh Sekhon & Richard D. Grieve, 2012. "A matching method for improving covariate balance in cost‐effectiveness analyses," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 695-714, June.
    18. Michael Christl & Silvia Poli & Tine Hufkens & Andreas Peichl & Mattia Ricci, 2023. "The role of short-time work and discretionary policy measures in mitigating the effects of the COVID-19 crisis in Germany," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1107-1136, August.
    19. Francois J. Stofberg & Jan H. van Heerden, 2015. "The Short Term Economic Impact of Levying E-Tolls on Industries," Working Papers 201527, University of Pretoria, Department of Economics.
    20. Roy, Satyaki, 2012. "Spatial Organization Of Production In India: Contesting Themes And Conflicting Evidence," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 1(1), pages 1-16.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirc:v:34:y:2016:i:1:p:135-150. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.