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Mapping Extent of Spillover Channels in Monetary Space: Study of Multidimensional Spatial Effects of US Dollar Liquidity

Author

Listed:
  • Changrong Lu

    (School of Economics, Nagoya University of Commerce and Business, Aichi 470-0193, Japan)

  • Lian Liu

    (School of Management, Nagoya University of Commerce and Business, Aichi 470-0193, Japan)

  • Fandi Yu

    (Graduate School of Asia-Pacific Studies, Waseda University, Tokyo 169-8555, Japan)

  • Jiaxiang Li

    (Department of Economics, State University of New York at Binghamton, Binghamton, NY 13902, USA)

  • Guanghong Zheng

    (Faculty of International Media, Communication University of China, Beijing 100024, China)

Abstract

This study aims to analyze the spatial effects triggered by dollar liquidity by constructing a multidimensional spatial matrix that modifies the traditional monetary spatial framework. We utilized a three-level spatial econometric model (Spatial Lag, Durbin, and Generalized Nested Space) to measure Gross Domestic Product (GDP), Consumer Price Index (CPI), and Asset Price Bubbles (BBL) through five spillover channels (geography, linguistics, politics, war, and economy). Our aim is to establish a systematic relationship between the conduction mechanism, means, economic indicators, and dollar externalities to examine liquidity spillover effects at varying distances in the global monetary space. We find that the spatial effects induced by the global circulation of the US dollar behave significantly differently in a single matrix space compared to in a multidimensional space. While the model verifies the existence of a positive correlation between the complexity of a single space and the spillover effect from a conduction mechanism perspective, the measure of the multidimensional matrix shows that the significance of the spillover effect weakens with an increase in abstraction level from a conduction means perspective. It suggests that spatial matrices of different dimensions reflect different economic realities. The former shows hierarchical multivariate details in independent matrices, while the variation in the level of abstraction of matrices of different dimensions in the latter enhances their interactivity and complexity.

Suggested Citation

  • Changrong Lu & Lian Liu & Fandi Yu & Jiaxiang Li & Guanghong Zheng, 2025. "Mapping Extent of Spillover Channels in Monetary Space: Study of Multidimensional Spatial Effects of US Dollar Liquidity," IJFS, MDPI, vol. 13(2), pages 1-28, May.
    • Handle: RePEc:gam:jijfss:v:13:y:2025:i:2:p:72-:d:1647561
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    References listed on IDEAS

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    1. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2010. "The evolution of the world trade web: a weighted-network analysis," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 479-514, August.
    2. Bernoth, Kerstin & Herwartz, Helmut, 2021. "Exchange rates, foreign currency exposure and sovereign risk," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 117, pages 1-1.
    3. Gita Gopinath, 2015. "The International Price System," NBER Working Papers 21646, National Bureau of Economic Research, Inc.
    4. Bhattarai, Saroj & Chatterjee, Arpita & Park, Woong Yong, 2021. "Effects of US quantitative easing on emerging market economies," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
    5. Dedola, Luca & Rivolta, Giulia & Stracca, Livio, 2017. "If the Fed sneezes, who catches a cold?," Journal of International Economics, Elsevier, vol. 108(S1), pages 23-41.
    6. David S. Bieri, 2009. "Financial stability, the Basel Process and the new geography of regulation," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 2(2), pages 303-331.
    7. Ron Martin, 2011. "The local geographies of the financial crisis: from the housing bubble to economic recession and beyond," Journal of Economic Geography, Oxford University Press, vol. 11(4), pages 587-618, July.
    8. Li, Xiang & Ying Jin, Yu & Chen, Guanrong, 2003. "Complexity and synchronization of the World trade Web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(1), pages 287-296.
    9. Martin Sokol & Leonardo Pataccini, 2022. "Financialisation, regional economic development and the coronavirus crisis: a time for spatial monetary policy? [The financialization of home and the mortgage market crisis]," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 15(1), pages 75-92.
    10. Kim, Suk-Joong & Nguyen, Do Quoc Tho, 2009. "The spillover effects of target interest rate news from the U.S. Fed and the European Central Bank on the Asia-Pacific stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 415-431, July.
    11. Harvey J. Miller, 2000. "Geographic representation in spatial analysis," Journal of Geographical Systems, Springer, vol. 2(1), pages 55-60, March.
    12. Aizenman, Joshua & Chinn, Menzie D. & Ito, Hiro, 2016. "Monetary policy spillovers and the trilemma in the new normal: Periphery country sensitivity to core country conditions," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 298-330.
    13. Stefano Schiavo & Javier Reyes & Giorgio Fagiolo, 2010. "International trade and financial integration: a weighted network analysis," Quantitative Finance, Taylor & Francis Journals, vol. 10(4), pages 389-399.
    14. Helena Glebocki Keefe & Sujata Saha, 2022. "Spillover Effects Of Quantitative Easing On Exports In Emerging Market Economies," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-25, March.
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