Natural disasters and regional industrial production efficiency: evidence from pre-war Japan

REFERENCES

• Abe, T., Yuuki, T., & Shirai, I. (2017). Senkain-ki niokeru Sangyo-kozo no hensen to kokusai kyoso [Transition of industrial structure and international competition in the interwar period], vol 4. In K. Fukao, N. Nakamura, & M. Nakabhayashi (Eds.), Nihon Keizai no Rekishi [History of the Japanese economy] (pp. 183–228). Iwanami Shoten.
   Google Scholar
• Albala-Bertrand, J. M. (1993). Natural disaster situations and growth: A macroeconomic model for sudden disaster impacts. World Development, 21(9), 1417–1434. https://doi.org/10.1016/0305-750X(93)90122-P
   Web of Science ®Google Scholar
• Bailey, D., & Turok, I. (2016). Editorial: Resilience revisited. Regional Studies, 50(4), 557–560. https://doi.org/10.1080/00343404.2016.1146478
   Web of Science ®Google Scholar
• Boschma, R. (2015). Towards an evolutionary perspective on regional resilience. Regional Studies, 49(5), 733–751. https://doi.org/10.1080/00343404.2014.959481
   Web of Science ®Google Scholar
• Botzen, W. W., Deschenes, O., & Sanders, M. (2019). The economic impacts of natural disasters: A review of models and empirical studies. Review of Environmental Economics and Policy, 13(2), 167–188. https://doi.org/10.1093/reep/rez004
   Web of Science ®Google Scholar
• Bramwell, A., Nelles, J., & Wolfe, D. A. (2008). Knowledge, innovation and institutions: Global and local dimensions of the ICT cluster in Waterloo, Canada. Regional Studies, 42(1), 101–116. https://doi.org/10.1080/00343400701543231
   Web of Science ®Google Scholar
• Briguglio, L., Cordina, G., Farrugia, N., & Vella, S. (2006). Conceptualizing and measuring economic resilience. Building the economic resilience of small states. Islands and Small States Institute of the University of Malta and Commonwealth Secretariat.
   Google Scholar
• Cavallo, E., & Noy, I. (2011). Natural disasters and the economy – A survey. International Review of Environmental and Resource Economics, 5(1), 63–102. https://doi.org/10.1561/101.00000039
   Google Scholar
• Christopherson, S. (2010). Afterword: Contextualized comparison in local and regional economic development: Are United States perspectives and approaches distinctive? Regional Studies, 44(2), 229–233. https://doi.org/10.1080/00343400903495677
   Web of Science ®Google Scholar
• Clark, J., Huang, H. I., & Walsh, J. P. (2010). A typology of ‘innovation districts’: What it means for regional resilience. Cambridge Journal of Regions, Economy and Society, 3(1), 121–137. https://doi.org/10.1093/cjres/rsp034
   Web of Science ®Google Scholar
• Cole, M. A., Elliott, R. J., Okubo, T., & Strobl, E. (2019). Natural disasters and spatial heterogeneity in damages: The birth, life and death of manufacturing plants. Journal of Economic Geography, 19(2), 373–408. https://doi.org/10.1093/jeg/lbx037
   Web of Science ®Google Scholar
• Crespo, J., Suire, R., & Vicente, J. (2014). Lock-in or lock-out? How structural properties of knowledge networks affect regional resilience. Journal of Economic Geography, 14(1), 199–219. https://doi.org/10.1093/jeg/lbt006
   Web of Science ®Google Scholar
• Davies, S. (2011). Regional resilience in the 2008–2010 downturn: Comparative evidence from European countries. Cambridge Journal of Regions, Economy and Society, 4(3), 369–382. https://doi.org/10.1093/cjres/rsr019
   Web of Science ®Google Scholar
• Eraydin, A. (2016). Attributes and characteristics of regional resilience: Defining and measuring the resilience of Turkish regions. Regional Studies, 50(4), 600–614. https://doi.org/10.1080/00343404.2015.1034672
   Web of Science ®Google Scholar
• Feyrer, J., Sacerdote, B., Stern, A. D., Saiz, A., & Strange, W. C. (2007). Did the rust belt become shiny? A study of cities and counties that lost steel and auto jobs in the 1980s [with Comments]. Brookings-Wharton Papers on Urban Affairs, 41–89. https://doi.org/10.1353/urb.2007.0005
   Google Scholar
• Fingleton, B., Garretsen, H., & Martin, R. (2012). Recessionary shocks and regional employment: Evidence on the resilience of UK regions. Journal of Regional Science, 52(1), 109–133. https://doi.org/10.1111/j.1467-9787.2011.00755.x
   Web of Science ®Google Scholar
• Flath, D. (2005). The Japanese Economy. Oxford University Press.
   Google Scholar
• Foster, K. A. (2007). Snapping back: What makes regions resilient? National Civic Review, 96(3), 27–29. https://doi.org/10.1002/ncr.184
   Google Scholar
• Frenken, K., Van Oort, F., & Verburg, T. (2007). Related variety, unrelated variety and regional economic growth. Regional Studies, 41(5), 685–697. https://doi.org/10.1080/00343400601120296
   Web of Science ®Google Scholar
• Fuji Boseki Co. (1947). Fuji Bouseki Kabushikikaisha Goju nen-shi [50 Year history of Fuji Spinning Co.].
   Google Scholar
• Fukao, K., & Settsu, T. (2017). Seicho to Makuro Keizai [Economic growth and macro economy], vol 4. In K. Fukao, N. Nakamura, & M. Nakabhayashi (Eds.), Nihon Keizai no Rekishi. [History of the Japanese economy] (pp. 2–24). Iwanami-Shoten.
   Google Scholar
• Galeeva, G. M., & Zinurova, R. I. (2016). Technological modernization of industry. In F. L. Gaol, F. Hutagalung, N. Bagautdinova & L. Safiullin (Eds.), Social sciences and interdisciplinary behavior (pp. 235–238). CRC Press.
   Google Scholar
• Haraguchi, N., Martorano, B., & Sanfilippo, M. (2019). What factors drive successful industrialization? Evidence and implications for developing countries. Structural Change and Economic Dynamics, 49, 266–276. https://doi.org/10.1016/j.strueco.2018.11.002
   Web of Science ®Google Scholar
• Hill, E., Clair, T. S., Wial, H., Wolman, H., Atkins, P., Blumenthal, P., & Friedhoff, A. (2012). Economic shocks and regional economic resilience. In Weir, M., Pindus, N., Wial, H., & Wolman, H. (Eds.), Urban and regional policy and its effects: Building resilient regions (pp. 193–274). Brookings Institution Press.
   Google Scholar
• Imaizumi, A. (2014). Kanto Daishinsai-go no Tokyo niokeru Sangyo Hukko no Kiten [Industrial reconstruction after the Great Kanto Earthquake: Focusing on the population and demand for labour in Tokyo]. Shakai Kagaku Ronshu, 142, 155–178. doi/10.24561/00017016
   Google Scholar
• Imaizumi, A., Ito, K., & Okazaki, T. (2016). Impact of natural disasters on industrial agglomeration: The case of the Great Kantō Earthquake in 1923. Explorations in Economic History, 60, 52–68. https://doi.org/10.1016/j.eeh.2015.11.005
   Web of Science ®Google Scholar
• Kayanoki, M., & Ito, H. (2008). A study on modern history of fireproof district and communal buildings after Great Kanto Earthquake in Tokyo. Journal of the City Planning Institute of Japan, 43–42. https://doi.org/10.11361/journalcpij.43.2.11
   Google Scholar
• Kharin, V. V., Flato, G. M., Zhang, X., Gillett, N. P., Zwiers, F., & Anderson, K. J. (2018). Risks from climate extremes change differently from 1.5°C to 2.0°C depending on rarity. Earth's Future, 6(5), 704–715. https://doi.org/10.1002/2018EF000813
   Web of Science ®Google Scholar
• Klomp, J., & Valckx, K. (2014). Natural disasters and economic growth: A meta-analysis. Global Environmental Change, 26, 183–195. https://doi.org/10.1016/j.gloenvcha.2014.02.006
   Web of Science ®Google Scholar
• Martin, R. (2012). Regional economic resilience, hysteresis and recessionary shocks. Journal of Economic Geography, 12(1), 1–32. https://doi.org/10.1093/jeg/lbr019
   Web of Science ®Google Scholar
• Martin, R., & Sunley, P. (2006). Path dependence and regional economic evolution. Journal of Economic Geography, 6(4), 395–437. https://doi.org/10.1093/jeg/lbl012
   Web of Science ®Google Scholar
• Martin, R., Sunley, P., Gardiner, B., & Tyler, P. (2016). How regions react to recessions: Resilience and the role of economic structure. Regional Studies, 50(4), 561–585. https://doi.org/10.1080/00343404.2015.1136410
   Web of Science ®Google Scholar
• Minami, R. (1965). Choki Toukei Suikei to Bunseki, (12) Tetsudo to Denryoku [Long-term economic statistics, vol. 12: Railways and electricity]. Toyokeizai Shinpo-Sha.
   Google Scholar
• Minami, R. (1976). Insatugyou niokeru Douryoku to Gijutsu Shinpo [Motive power and technology in the printing industry]. Keizai Kenkyu, 27(1), 28–35. https://doi.org/10.15057/23686
   Google Scholar
• Mohan, P., Okubo, T., & Strobl, E. (2020). Natural disasters and industrial production efficiency: evidence from prewar Japan (Keio-IES Discussion Paper No. DP2020-006). Institute for Economic Studies, Keio University.
   Google Scholar
• Mohan, P. S., Spencer, N., & Strobl, E. (2019). Natural hazard-induced disasters and production efficiency: Moving closer to or further from the frontier? International Journal of Disaster Risk Science, 10(2), 166–178. https://doi.org/10.1007/s13753-019-0218-9
   Web of Science ®Google Scholar
• Nakamura, M., & Molteni, C. (1994). Silk-reeling technology and female labour. In technology change and female labour in Japan. United Nations University Press.
   Google Scholar
• Nakamura, T. (1971). Senzen-ki Nihon Keizai Seicho no Bunseki [Analysis of the Japanese economic growth in the prewar period]. Iwanami-Shoten.
   Google Scholar
• Nakamura, T., & Feldman, R. A. (1983). Economic growth in prewar Japan. Yale University Press.
   Google Scholar
• Nichigai Associates. (1993). Showa Saigai-shi Jiten [Historical encyclopedia of natural disaster in Showa period of Japan]. Tokyo.
   Google Scholar
• Nichigai Associates. (2010). Nihon Saiagai-shi Jiten 1868-2009 [Historical encyclopedia of natural disaster in Japan 1868-2009]. Tokyo.
   Google Scholar
• Nippon Denki Co. (2001). Nippon Denki Kabushiki Kaisha Hyakunen-shi Honpen [100 Year history of Nippon Denki Co.].
   Google Scholar
• Nishikawa, H. (1974). 1920-nendai no nihon menshi bouseki no gourika to dokusen taisei [Rationalization and monopoly system in cotton spinning industries in the 1920s]. Tochi Seido Shigaku, 16(2), 17–35. https://doi.org/10.20633/tochiseido.16.2_17
   Google Scholar
• Nishikawa, H. (1987). Nihon Teikoku Shugi to Mengyo [Japanese imperialism and cotton textile industry]. Mineruva-Shobo.
   Google Scholar
• Nishimura, S. (2003). Senkanki niokeru Tokyo Denki no Gijtsu-donyu to Gijutu-kaihatsu [Technology introduction and development in Tokyo Denki Co. in the inter-war period]. Keizai Ronshu, 172(4), 20–42. https://doi.org/10.14989/45590
   Google Scholar
• Noy, I. (2018). The long-term consequences of disasters: What do we know, and what we still don't. International Review of Environmental and Resource Economics, 12(4), 325–354. https://doi.org/10.1561/101.00000104
   Web of Science ®Google Scholar
• Nyström, K. (2018). Regional resilience to displacements. Regional Studies, 52(1), 4–22. https://doi.org/10.1080/00343404.2016.1262944
   Web of Science ®Google Scholar
• Okazaki, T., Okubo, T., & Strobl, E. (2019). Creative destruction of industries: Yokohama city in the Great Kanto Earthquake, 1923. The Journal of Economic History, 79(1), 1–31. https://doi.org/10.1017/S0022050718000748
   Web of Science ®Google Scholar
• Okazaki, T., Okubo, T., & Strobl, E. (2022). The bright and dark side of financial support from local and central banks after a natural disaster: Evidence from the Great Kanto Earthquake, 1923 Japan. Journal of Money, Credit, and Banking.
   PubMed Web of Science ®Google Scholar
• Okubo, T. (2007). Trade bloc formation in inter-war Japan: A gravity model analysis. Journal of the Japanese and International Economies, 21(2), 214–236. https://doi.org/10.1016/j.jjie.2006.01.001
   Web of Science ®Google Scholar
• Okubo, T., & Strobl, E. (2021). Natural disasters, firm survival, and growth: Evidence from the Ise Bay Typhoon, Japan. Journal of Regional Science, 61(5), 944–970. https://doi.org/10.1111/jors.12523
   Web of Science ®Google Scholar
• Otsuka, A., & Goto, M. (2015). Regional policy and the productive efficiency of Japanese industries. Regional Studies, 49(4), 518–531. https://doi.org/10.1080/00343404.2013.795285
   Web of Science ®Google Scholar
• Otsuka, A., Goto, M., & Sueyoshi, T. (2010). Industrial agglomeration effects in Japan: Productive efficiency, market access, and public fiscal transfer. Papers in Regional Science, 89(4), 819–840. https://doi.org/10.1111/j.1435-5957.2010.00286.x
   Web of Science ®Google Scholar
• Pelli, M., & Tschopp, J. (2017). Comparative advantage, capital destruction, and hurricanes. Journal of International Economics, 108, 315–337. https://doi.org/10.1016/j.jinteco.2017.07.004
   Web of Science ®Google Scholar
• Pickles, J., & Smith, A. (2011). Delocalization and persistence in the European clothing industry: The reconfiguration of trade and production networks. Regional Studies, 45(2), 167–185. https://doi.org/10.1080/00343401003601933
   Web of Science ®Google Scholar
• Simmie, J., & Martin, R. (2010). The economic resilience of regions: Towards an evolutionary approach. Cambridge Journal of Regions, Economy and Society, 3(1), 27–43. https://doi.org/10.1093/cjres/rsp029
   Web of Science ®Google Scholar
• Surianto, S., Alim, S., Nindrea, R. D., & Trisnantoro, L. (2019). Regional policy for disaster risk management in developing countries within the Sendai framework: A systematic review. Open Access Macedonian Journal of Medical Sciences, 7(13), 2213–2219. https://doi.org/10.3889/oamjms.2019.614
   PubMedGoogle Scholar
• Tokyo City Government. (1932). Teito Hukkou Saishi [Celebration for recovery of imperial capital city]. Tokyo.
   Google Scholar
• Treado, C. D., & Giarratani, F. (2008). Intermediate steel-industry suppliers in the Pittsburgh region: A cluster-based analysis of regional economic resilience. Economic Development Quarterly, 22(1), 63–75.
   Google Scholar
• Udagawa, M. (1987). Senzen Nihon no Kigyou-keiei to Gaishikei-kigyo [Management and foreign companies in pre-war Japan]. Keiei Shirin, 24(1), 15–31.
   Google Scholar
• van Bergeijk, P., & Lazzaroni, S. (2015). Macroeconomics of natural disasters: Strengths and weaknesses of meta-analysis versus review of literature. Risk Analysis, 35(6), 1050–1072. https://doi.org/10.1111/risa.12372
   PubMed Web of Science ®Google Scholar
• Yakura, S. (1997). Kanto Daishinsai-go niokeru Fuji Gasu Bouseki kabushikigaisya to Kanegahuchi Bouseki kabushikigaisya no keiei nituite [On the management in Fuji Gas Spinning Co. and Kanegafuchi Spinning Co. after the Great Kanto Earthquake]. Sangyo to Keizai, 12(2), 53–69.
   Google Scholar
• Zorn, M. (2018). Natural disasters and less developed countries. In S. Pelc & M. Koderman (Eds.), Nature, tourism and ethnicity as drivers of (de) marginalization (pp. 59–78). Springer.
   Google Scholar
• Zscheischler, J., Van Den Hurk, B., Ward, P. J., & Westra, S. (2020). Multivariate extremes and compound events. In J. Sillmann, S. Sippel & S. Russo (Eds)., Climate extremes and their implications for impact and risk assessment (pp. 59–76). Science Direct.
   Google Scholar