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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM67993

Impact of Green Financial Literacy on Sustainable Investment Intentions among Young Adults

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67993

Volume:

10 |

10 |

Oct 2026

Pages:

1-16

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67993

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Gunturu Nagasri Vyjayanthy

Gunturu Nagasri Vyjayanthy

Department of Business Administration

Koneru Lakshmaiah Education Foundation.

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GM

Golli Mohan

Department of Business Administration

Koneru Lakshmaiah Education Foundation.

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Abstract

Green finance has emerged as a key element to support the shift towards a low-carbon economy, however, it is important to educate consumers about the concept of green investment products and encourage them to purchase them. This study aims to investigate the extent of awareness, willingness to invest, and environmental preference of 95 survey participants and to determine the differences in these scores based on the demographic and experience characteristics of the respondents. A structure questionnaire of 20 five-point Likert items (1–20) and four profile questions was administered and the items form three reliable scales of Awareness (11 items, α = .88), Investment Intention (6 items, α = .86) and Environmental Preference (3 items, α = .80). The statistical processing of data was performed in MS Excel with the application of the chi-square test of independence, one way ANOVA and ordinary least squares regression. These results indicated moderate awareness level (M = 3.28, SD = 0.67) and moderately favourable intention (M = 3.58, SD = 0.73). Prior investment experience and age group were not significantly associated with awareness or intention levels using chi-square tests (both p > .12), and one-way ANOVAs revealed no significant difference in awareness or intention across the age group, education or current status (all p ≥ .056). In contrast, the full model of regression found that awareness was a strong predictor of intention (b = 0.74, β = .67, p < .001, R² = .45); a fuller model, with the inclusion of environmental preference and prior investment experience, explained 65% of the variance in intention (b = 0.74, β = .67, p < .001, R² = .65). The results indicate that knowledge and values are more important than the identity of the investor and that financial education and the provision of information about the products are the more direct drivers to increase participation in green investment.

KEYWORDS

green investment financial awareness intention to invest environmental preference Chi square ANOVA regression.

Cite This Article

Gunturu Nagasri Vyjayanthy, Golli Mohan, "Impact of Green Financial Literacy on Sustainable Investment Intentions among Young Adults," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-16, Oct 2026. https://doi.org/10.55041/IJSREM67993

Full Article/Conclusion

The study of this research involved two chi-square tests, one-way ANOVA and regression in Excel with the survey respondents of 95. Awareness was moderately good, and intention moderately positive. There was no significant difference between the characteristics of the respondents (demographic and experience attributes), but awareness and environmental preference were significant predictors of the intention to purchase (along with prior investing, R² = .65). The take-home point is that raising awareness, and showing people the environmental value of products are the most direct ways to turn goodwill into investment. These results should be validated within larger and more representative samples, taking into account the small, young and convenience-based sample size.

References

Ajzen, I. (1991). The theory of planned behavior (TPB). Organizational Behavior and Human Decision Processes, 50(2), 179-211. Cohen, J. (1988). A second edition of Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates. Cronbach, L. J. (1951). Internal structure of tests and coefficient alpha. Psychometrika, 16(3), 297–334. Fisher, R. A. (1925). Research workers' statistical methods. Oliver and Boyd. Flammer, C. (2021). Corporate green bonds. Journal of Financial Economics, 142(2), 499–516. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis. Cengage. Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 140, 1–55. Lusardi, A. and Mitchell, O. S. (2014). The theory and evidence of financial literacy importance. Journal of Economic Literature 52(1): 5-44. Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill. Pearson, K. (1900). On the assumption that a particular set of deviations from the probable in the case of a correlated system of variables is one which might be reasonably expected as the outcome of random sampling. Philosophical Magazine, 50(302), 157–175. Tang, D. Y., & Zhang, Y. (2020). Is it beneficial for shareholders to issue green bonds? Journal of corporate finance, 61, 101427.

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Publication Date

10/15/2026

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