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Economic Activities and Regional Correlation During Economic and Natural Disasters

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  • Jun Nagayasu

Abstract

Life is characterized by risks of different features and origins. Examining the economic and natural disasters that have occurred in Japan in the past decades, we show that regional relationships strengthen during chaotic moments, such as the Lehman Brothers collapse, the Great East Japan Earthquake, and the coron- avirus disease (COVID-19) pandemic. Moreover, we nd that business prospects are a good predictor of labor market conditions, and employment opportunities deteriorate more severely when regions are highly correlated. Our study indicates the side effect of market integration, and the relevance of regional economic cen- ters in cushioning nationwide economic and natural shocks.

Suggested Citation

  • Jun Nagayasu, 2020. "Economic Activities and Regional Correlation During Economic and Natural Disasters," DSSR Discussion Papers 117, Graduate School of Economics and Management, Tohoku University.
    • Handle: RePEc:toh:dssraa:117
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    File URL: http://hdl.handle.net/10097/00128354
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    1. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2016. "Unemployment and Business Cycles," Econometrica, Econometric Society, vol. 84(4), pages 1523-1569, July.
    2. Nagayasu, Jun, 2001. "Currency crisis and contagion: evidence from exchange rates and sectoral stock indices of the Philippines and Thailand," Journal of Asian Economics, Elsevier, vol. 12(4), pages 529-546.
    3. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    4. Akhtaruzzaman, Md & Boubaker, Sabri & Sensoy, Ahmet, 2021. "Financial contagion during COVID–19 crisis," Finance Research Letters, Elsevier, vol. 38(C).
    5. Alan J. Auerbach & Yuriy Gorodnichenko, 2012. "Fiscal Multipliers in Recession and Expansion," NBER Chapters, in: Fiscal Policy after the Financial Crisis, pages 63-98, National Bureau of Economic Research, Inc.
    6. Kondo, Ayako, 2018. "The effects of supply chain disruptions caused by the Great East Japan Earthquake on workers," Japan and the World Economy, Elsevier, vol. 47(C), pages 40-50.
    7. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    8. Fujita,Masahisa & Thisse,Jacques-François, 2013. "Economics of Agglomeration," Cambridge Books, Cambridge University Press, number 9781107001411, November.
    9. Tokui, Joji & Kawasaki, Kazuyasu & Miyagawa, Tsutomu, 2017. "The economic impact of supply chain disruptions from the Great East-Japan earthquake," Japan and the World Economy, Elsevier, vol. 41(C), pages 59-70.
    10. Jun Nagayasu, 2017. "Regional inflation, spatial locations and the Balassa-Samuelson effect: Evidence from Japan," Urban Studies, Urban Studies Journal Limited, vol. 54(6), pages 1482-1499, May.
    11. Dornbusch, Rudiger & Park, Yung Chul & Claessens, Stijn, 2000. "Contagion: Understanding How It Spreads," The World Bank Research Observer, World Bank, vol. 15(2), pages 177-197, August.
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    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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