IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa11p360.html
   My bibliography  Save this paper

Inter-regional spillovers in Fukuoka Prefecture: Using VAR model

Author

Listed:
  • Hiroshi Sakamoto

Abstract

This paper examines the question of inter-regional spillovers in Fukuoka Prefecture. Fukuoka Prefecture is located on the west side of Japan, and is near the Korean peninsula. There are two government-designated major cities in Fukuoka Prefecture. One is Fukuoka City, which is the central city in Fukuoka Prefecture. The other is Kitakyushu City, which is a big city with a population of about one million. The relationship between Fukuoka City and Kitakyushu City is not without problems. Because the two cities are independently administered, each government can execute the policy that best suits its own interest. On the other hand, it is important for Fukuoka Prefecture that both cities economy cooperate. We analyze this question within the framework of three or more than three regions vector-autoregressive (VAR) model. To express the economic relationship in this study, Fukuoka Prefecture is divided into Fukuoka City, Kitakyushu City, and the rest of Fukuoka Prefecture. We subject to extensive sensitivity analysis, with particular attention paid to the effects on the results of strong common output movements.

Suggested Citation

  • Hiroshi Sakamoto, 2011. "Inter-regional spillovers in Fukuoka Prefecture: Using VAR model," ERSA conference papers ersa11p360, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa11p360
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa11/e110830aFinal00360.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Groenwold, Nicolaas & Lee, Guoping & Chen, Anping, 2008. "Inter-regional spillovers in China: The importance of common shocks and the definition of the regions," China Economic Review, Elsevier, vol. 19(1), pages 32-52, March.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    5. Michael A. Kouparitsas, 2002. "Understanding U.S. regional cyclical comovement: How important are spillovers and common shocks?," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 26(Q IV), pages 30-41.
    6. Carlino Gerald & Defina Robert, 1995. "Regional Income Dynamics," Journal of Urban Economics, Elsevier, vol. 37(1), pages 88-106, January.
    7. Nicolaas Groenewold & Lee Guoping & Chen Anping, 2007. "Regional output spillovers in China: Estimates from a VAR model," Papers in Regional Science, Wiley Blackwell, vol. 86(1), pages 101-122, March.
    8. Michael Sonis & Geoffrey J. D. Hewings (ed.), 2009. "Tool Kits in Regional Science," Advances in Spatial Science, Springer, number 978-3-642-00627-2.
    9. Michael Sonis & Dimitrios S. Dendrinos, 2009. "Socio-Spatial Dynamics and Discrete Non-Linear Probabilistic Chains," Advances in Spatial Science, in: Michael Sonis & Geoffrey J. D. Hewings (ed.), Tool Kits in Regional Science, chapter 7, pages 177-197, Springer.
    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. Xu, Haifeng & Hamori, Shigeyuki, 2012. "Dynamic linkages of stock prices between the BRICs and the United States: Effects of the 2008–09 financial crisis," Journal of Asian Economics, Elsevier, vol. 23(4), pages 344-352.
    2. M. T. Alguacil & V. Orts, 2003. "Inward Foreign Direct Investment and Imports in Spain," International Economic Journal, Taylor & Francis Journals, vol. 17(3), pages 19-38.
    3. Sayef Bakari & Sofien Tiba & Nissar Fakraoui, 2019. "Does Domestic Investment Contribute To Economic Growth In Uruguay? What Did The Empirical Facts Say?," Journal of Smart Economic Growth, , vol. 4(2), pages 53-69, September.
    4. Erdal Demirhan & Banu Demirhan, 2015. "The Dynamic Effect of ExchangeRate Volatility on Turkish Exports: Parsimonious Error-Correction Model Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(4), pages 429-451, September.
    5. Nicholas Apergis & Stephen M. Miller, 2007. "Total Factor Productivity and Monetary Policy: Evidence from Conditional Volatility," International Finance, Wiley Blackwell, vol. 10(2), pages 131-152, July.
    6. Diaz, Elena Maria & Molero, Juan Carlos & Perez de Gracia, Fernando, 2016. "Oil price volatility and stock returns in the G7 economies," Energy Economics, Elsevier, vol. 54(C), pages 417-430.
    7. Nicolaas Groenewold & Guoping Lee & Anping Chen, 2006. "Inter-Regional Output Spillovers of Policy Shocks in China," Economics Discussion / Working Papers 06-26, The University of Western Australia, Department of Economics.
    8. Sayef Bakari & Nissar Fakraoui & Sofien Tiba, 2021. "Domestic Investment, Export, Import And Economic Growth In Brazil: An Application Of Vector Error Correction Model," Journal of Smart Economic Growth, , vol. 6(1), pages 31-48, Mars.
    9. Neil Karunaratne, 1997. "High-Tech Innovation, Growth and Trade Dynamics in Australia," Open Economies Review, Springer, vol. 8(2), pages 151-170, April.
    10. Bakari, Sayef & Fakraoui, Nissar & Mabrouki, Mohamed, 2020. "The Contribution of Domestic Investment, Exports and Imports on Economic Growth: A Case Study of Peru," MPRA Paper 99041, University Library of Munich, Germany.
    11. Bakari, Sayef, 2018. "The Impact of Domestic Investment on Economic Growth New Policy Analysis from Algeria," Bulletin of Economic Theory and Analysis, BETA Journals, vol. 3(1), pages 35-51, March.
    12. Athanasenas, Athanasios L., 2010. "Credit, income, and causality: A contemporary co-integration analysis," European Journal of Operational Research, Elsevier, vol. 201(1), pages 194-205, February.
    13. Hamdi, Helmi & Sbia, Rashid, 2013. "Dynamic relationships between oil revenues, government spending and economic growth in an oil-dependent economy," Economic Modelling, Elsevier, vol. 35(C), pages 118-125.
    14. Chou, W. L., 2000. "Exchange Rate Variability and China's Exports," Journal of Comparative Economics, Elsevier, vol. 28(1), pages 61-79, March.
    15. Sayef Bakari & Mohamed Mabrouki & Asma Elmakki, 2018. "The Nexus Between Industrial Exports And Economic Growth In Tunisia: Empirical Analysis," Journal of Smart Economic Growth, , vol. 3(2), pages 31-53, December.
    16. Mehmet Balcilar & Evrim Toren, 2021. "The Time-Varying Effect of Asset Prices on Turkey’s Circular Economy," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    17. Esposti, Roberto, 2002. "Public agricultural R&D design and technological spill-ins: A dynamic model," Research Policy, Elsevier, vol. 31(5), pages 693-717, July.
    18. Doh-Khul Kim, 2005. "Real Wage and Nominal Shock: Evidence from Pacific-Rim Countries," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 11(3), pages 249-255, August.
    19. Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "Exploring the transformation and upgrading of China’s economy using electricity consumption data: A VAR–VEC based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 144-155.
    20. Mohd Zaini Abd Karim & Amy Azhar Mohd Harif & Azira Adziz, 2006. "Monetary Policy and Sectoral Bank Lending in Malaysia," Global Economic Review, Taylor & Francis Journals, vol. 35(3), pages 303-326.

    More about this item

    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:wiw:wiwrsa:ersa11p360. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.