IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0240065.html
   My bibliography  Save this article

The main factors affecting Taiwan’s economic growth rate via dynamic grey relational analysis

Author

Listed:
  • Chiung-Yu Huang
  • Chia-Chin Hsu
  • Mu-Lin Chiou
  • Chun-I Chen

Abstract

Ever since the grey system theory was proposed about 40 years ago, its characteristics such as small samples, few data, and uncertainty have been used for study in the literature with increasingly wider scope. Recent studies on grey relation analysis have included static data analyses, and most of them have adopted initial values with only a relational order. Under the same study conditions, if different data preprocessing methods are used, then the relational order will be ranked differently. This study took Taiwan as the object to explore seven economic indices (birth rate (%), Taiwan’s total population (thousand people), unemployment rate (%), income per capita (USD), weighted average interest rate on deposits (%), Consumer Price Index (CPI), and national income (NI)) and how they affect the economic growth rate. The traditional static grey relational analysis treated the collected data with taking consideration of time effect which is irrational under some circumstance. An innovative dynamic grey relational analysis was carried out by shifting the raw data due to the time leading or lagging effect which is a mean to improve the capability of traditional grey relational analysis. The differences in analyses between static grey relational analysis and dynamic grey relational analysis via different data preprocessing methods were further discussed, finding that different data preprocessing methods generated a new set of relational orders through the latter. Finally, the prosperity index was used to identify the effects of all factors on economic growth (leading, synchronization, and lagging indices).

Suggested Citation

  • Chiung-Yu Huang & Chia-Chin Hsu & Mu-Lin Chiou & Chun-I Chen, 2020. "The main factors affecting Taiwan’s economic growth rate via dynamic grey relational analysis," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-15, October.
    • Handle: RePEc:plo:pone00:0240065
    DOI: 10.1371/journal.pone.0240065
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0240065
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0240065&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0240065?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    2. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 407-443.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chengguang Liu & Jiaqi Zhang & Xixi Luo & Yulin Yang & Chao Hu, 2023. "Railway Freight Demand Forecasting Based on Multiple Factors: Grey Relational Analysis and Deep Autoencoder Neural Networks," Sustainability, MDPI, vol. 15(12), pages 1-21, June.

    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. Jan Fagerberg & Bengt-Åke Lundvall & Martin Srholec, 2018. "Global Value Chains, National Innovation Systems and Economic Development," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(3), pages 533-556, July.
    2. Kar, Sabyasachi & Pritchett, Lant & Raihan, Selim & Sen, Kunal, 2013. "Looking for a break: Identifying transitions in growth regimes," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 151-166.
    3. van de Klundert, T.C.M.J. & Smulders, J.A., 1991. "Reconstructing growth theory : A survey," Other publications TiSEM 19355c51-17eb-4d5d-aa66-b, Tilburg University, School of Economics and Management.
    4. Lederman, Daniel & Saenz, Laura, 2005. "Innovation and development around the world, 1960-2000," Policy Research Working Paper Series 3774, The World Bank.
    5. Jos� Lobo & Charlotta Mellander & Kevin Stolarick & Deborah Strumsky, 2014. "The Inventive, the Educated and the Creative: How Do They Affect Metropolitan Productivity?," Industry and Innovation, Taylor & Francis Journals, vol. 21(2), pages 155-177, February.
    6. Joshua Hall & Robert Lawson, 2008. "Theory and evidence on economic freedom and economic growth: A comment," Economics Bulletin, AccessEcon, vol. 15(18), pages 1-6.
    7. Roberto Martino & Phu Nguyen-Van, 2014. "Labour market regulation and fiscal parameters: A structural model for European regions," Working Papers of BETA 2014-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    8. Matthias Firgo & Peter Mayerhofer, 2015. "Wissens-Spillovers und regionale Entwicklung - welche strukturpolitische Ausrichtung optimiert des Wachstum?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 144, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    9. Olusanya, Oluwakorede, 2016. "Causality between Human Resource Development and the Nigerian Economic Performance," MPRA Paper 100854, University Library of Munich, Germany.
    10. John Dawson & Amit Sen, 2007. "New evidence on the convergence of international income from a group of 29 countries," Empirical Economics, Springer, vol. 33(2), pages 199-230, September.
    11. Patel, Dev & Sandefur, Justin & Subramanian, Arvind, 2021. "The new era of unconditional convergence," Journal of Development Economics, Elsevier, vol. 152(C).
    12. Andrés Rodríguez-Pose & Yannis Psycharis & Vassilis Tselios, 2012. "Public investment and regional growth and convergence: Evidence from Greece," Papers in Regional Science, Wiley Blackwell, vol. 91(3), pages 543-568, August.
    13. Sudip Ranjan Basu, 2005. "Correlating Growth with Well-Being during Economic Reforms Evidence from India and China," Development and Comp Systems 0509010, University Library of Munich, Germany.
    14. Evan Lau & Koon Po Lee, 2008. "Interdependence of income between China and ASEAN‐5 countries," Journal of Chinese Economic and Foreign Trade Studies, Emerald Group Publishing Limited, vol. 1(2), pages 148-161, June.
    15. Asongu, Simplice & Amavilah, Voxi & Andrés, Antonio R., 2014. "Economic Implications of Business Dynamics for KE-Associated Economic Growth and Inclusive Development in African Countries," MPRA Paper 63793, University Library of Munich, Germany.
    16. Shrabani Saha & Kunal Sen, 2019. "The corruption-growth relationship: Do political institutions matter?," WIDER Working Paper Series wp-2019-65, World Institute for Development Economic Research (UNU-WIDER).
    17. Olsson, Ola, 2001. "Why Does Technology Advance in Cycles?," Working Papers in Economics 38, University of Gothenburg, Department of Economics.
    18. Greta Marianna & Lewandowski Krzysztof, 2015. "The Impact Of The Global Financial And Economic Crisis Convergence Process In OECD Countries," Comparative Economic Research, Sciendo, vol. 18(1), pages 81-96, March.
    19. ?gel de la Fuente, "undated". "Convergence Across Countries And Regions: Theory And Empirics," UFAE and IAE Working Papers 447.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    20. Bernd Aumann & Rolf Scheufele, 2010. "Is East Germany catching up? A time series perspective," Post-Communist Economies, Taylor & Francis Journals, vol. 22(2), pages 177-192.

    More about this item

    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:plo:pone00:0240065. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.