Green investment, financial development, digitalization and economic sustainability in Vietnam: Evidence from a quantile-on-quantile regression and wavelet coherence
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Many cross-country studies show that when financial development improves, the economy usually grows more.
“Many studies using information from different countries and years have shown that when financial development gets better, the economy usually grows more too [20,21,22].”
From Dynamics of economic growth in ASEAN-5 countries: a panel ARDL approach (2024) · cites this paper as [22]
The citation lists haven’t been fetched yet
References 69 · Cited by 210
- Authors
- Hung, N. T.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2023-01
- Volume
- 186
- Pages
- 122185
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W4309806454
- Cited by
- 210
- References
- 69
- Citations by year
- 2026: 33 · 2025: 64 · 2024: 70 · 2023: 43
- FWCI
- 32.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Technological Forecasting and Social Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Finance › Sustainable Finance and Green Bonds
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Economy and Transformation
- Keywords
- green investment, financial development, digitalization, economic sustainability, sustainable development, Vietnam, technological innovation, quantile-on-quantile regression, Granger causality in quantiles, wavelet coherence, Sustainable Development Goals
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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