IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/126742.html

Regional Isolation and the Absence of Demographic Spillovers: Evidence from Japanese Aging Dynamics

Author

Listed:
  • Kikuchi, Tatsuru

Abstract

This paper tests whether demographic aging shocks propagate across Japanese municipalities through spatial and economic network channels. Using quarterly panel data on 4,547 municipalities from 2018 to 2024, I apply the spatial treatment effect framework from \citet{kikuchi2024dynamical} and \citet{kikuchi2024stochastic}, extended with a Lévy–Brownian process \footnote{A temporal jump-diffusion process combining continuous Brownian motion with Lévy jumps.} to capture discontinuous crisis events alongside continuous evolution. The central finding contradicts conventional assumptions: aging shocks remain strictly localized with zero spillovers despite connected infrastructure and dense networks. Five analyses establish this result. Perturbative decomposition shows 99.82 percent of variation explained by direct effects. Treatment effect estimates (ATT=0.355pp, ATE=0.541pp) exclude spillover components. General equilibrium multipliers of 1.04 indicate minimal amplification. Stochastic uncertainty quantification reveals that while Lévy jumps raise crisis probability from 3 to 12 percent, tail risk remains localized. Temporal trends document increasing regional isolation. The absence of spillovers reflects fundamental isolation: Tokyo concentration, infrastructure decay, service withdrawal, and economic hollowing transform Japan's spatial structure from integrated to fragmented. Regional coordination policies are ineffective; local interventions are sufficient.

Suggested Citation

  • Kikuchi, Tatsuru, 2025. "Regional Isolation and the Absence of Demographic Spillovers: Evidence from Japanese Aging Dynamics," MPRA Paper 126742, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:126742
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/126742/1/MPRA_paper_126742.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert J. Barro, 2006. "Rare Disasters and Asset Markets in the Twentieth Century," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 823-866.
    2. Xavier Gabaix, 2011. "Disasterization: A Simple Way to Fix the Asset Pricing Properties of Macroeconomic Models," American Economic Review, American Economic Association, vol. 101(3), pages 406-409, May.
    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. Isoré, Marlène & Szczerbowicz, Urszula, 2017. "Disaster risk and preference shifts in a New Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 97-125.
    2. Levintal, Oren, 2017. "Fifth-order perturbation solution to DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 1-16.
    3. Roberto Marfè & Julien Penasse, 2016. "The Time-Varying Risk of Macroeconomic Disasters," Carlo Alberto Notebooks 463, Collegio Carlo Alberto.
    4. Cantelmo, Alessandro & Melina, Giovanni & Papageorgiou, Chris, 2023. "Macroeconomic outcomes in disaster-prone countries," Journal of Development Economics, Elsevier, vol. 161(C).
    5. Jerry Tsai & Jessica A. Wachter, 2015. "Disaster Risk and its Implications for Asset Pricing," NBER Working Papers 20926, National Bureau of Economic Research, Inc.
    6. Gomes, João F. & Grotteria, Marco & Wachter, Jessica A., 2023. "Foreseen risks," Journal of Economic Theory, Elsevier, vol. 212(C).
    7. François Gourio & Anil K. Kashyap & Jae W. Sim, 2018. "The Trade offs in Leaning Against the Wind," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 66(1), pages 70-115, March.
    8. Mete Kilic & Jessica A. Wachter, 2015. "Risk, Unemployment, and the Stock Market: A Rare-Event-Based Explanation of Labor Market Volatility," NBER Working Papers 21575, National Bureau of Economic Research, Inc.
    9. Emmanuel Farhi & Francois Gourio, 2018. "Accounting for Macro-Finance Trends: Market Power, Intangibles, and Risk Premia," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(2 (Fall)), pages 147-250.
    10. Stefan Mittnik & Willi Semmler & Alexander Haider, 2020. "Climate Disaster Risks—Empirics and a Multi-Phase Dynamic Model," Econometrics, MDPI, vol. 8(3), pages 1-27, August.
    11. William Ginn, 2022. "Climate Disasters and the Macroeconomy: Does State-Dependence Matter? Evidence for the US," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 141-161, March.
    12. Gregory, Richard P., 2021. "Climate disasters, carbon dioxide, and financial fundamentals," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 45-58.
    13. Marfè, Roberto & Pénasse, Julien, 2024. "Measuring macroeconomic tail risk," Journal of Financial Economics, Elsevier, vol. 156(C).
    14. Alessandro Cantelmo, 2022. "Rare Disasters, the Natural Interest Rate and Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 473-496, June.
    15. Marlène Isoré, 2018. "Changes in Natural Disaster Risk: Macroeconomic Responses in Selected Latin American Countries," Economies, MDPI, vol. 6(1), pages 1-12, February.
    16. Jesus Fernandez-Villaverde & Pablo Guerron-Quintana, 2020. "Uncertainty Shocks and Business Cycle Research," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 118-166, August.
    17. Jianjun Miao & Bin Wei & Hao Zhou, 2019. "Ambiguity Aversion and the Variance Premium," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 1-36, June.
    18. Jessica Wachter & Mete Kilic, 2017. "Risk, Unemployment, and the Stock Market: A Rare-Event-Based Explanation of Labor Market Volatility," 2017 Meeting Papers 129, Society for Economic Dynamics.
    19. Priyank Gandhi, 2018. "The relation between bank credit growth and the expected returns of bank stocks," European Financial Management, European Financial Management Association, vol. 24(4), pages 610-649, September.
    20. Newbold, Stephen & Griffiths, Charles & Moore, Chris & Wolverton, Ann & Kopits. Elizabeth, 2010. "The “Social Cost of Carbon” Made Simple," National Center for Environmental Economics-NCEE Working Papers 280887, United States Environmental Protection Agency (EPA).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:pra:mprapa:126742. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.