Financial development and innovation-led growth: Is too much finance better?
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Zhu, Asimakopoulos, and Kim (2020) found threshold values of 0.39 for domestic credit, 0.44 for private credit and banking credit, and 0.61 for liquidity as a proxy for financial development.
“Whereas Zhu, Asimakopoulos, and Kim (2020) found the values of threshold as 0.39 when used domestic credit variable, 0.44 for private credit and banking credit, and 0.61 when used liquidity as proxy for financial development.”
From How Does Financial Development Impact Economic Growth in Pakistan?: New Evidence from Threshold Model (2020) · cites this paper as Zhu, Asimakopoulos, and Kim (2020)
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References 65 · Cited by 173
- Authors
- Zhu, X., Asimakopoulos, S., & Kim, J.
- Affiliations
- Oklahoma State University (US)
- University of Bath (GB)
- Corresponding author
- Kim, Jaebeom
- Venue
- Journal of International Money and Finance
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 100
- Pages
- 102083
- ISSN
- 0261-5606 (ISSN-L)
- OpenAlex
- W2908938495
- Cited by
- 173
- References
- 65
- Citations by year
- 2026: 16 · 2025: 25 · 2024: 36 · 2023: 37 · 2022: 25 · 2021: 23 · 2020: 10 · 2016: 1
- FWCI
- 31.22
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Journal of International Money and Finance (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Pure (University of Bath) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Monetary Policy and Economic Impact
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Physical Sciences › Computer Science › Information Systems › Economic Growth and Development
- Keywords
- financial development, innovation, innovation-led growth, credit to private sector, nonlinearity, threshold effects, output growth, banking crisis, 2008 financial crisis, eurozone crisis
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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