Влияние на решения сельских инвесторов инвестиционного поведения и склонности к риску

Цель исследования — определить, как инвестиционное поведение и склонность к риску влияют на решения сельских инвесторов. Особое внимание уделяется демографическим характеристикам участников. Работа проводилась в сельских районах Индии Харьяны и Пенджаба с использованием структурированных опросников. Данные были собраны от 486 инвесторов из 22 округов Харьяны и семи округов Пенджаба. Анализ демографических характеристик проводился с помощью SPSS 26. Надежность и валидность опросника проверялись с помощью альфа-коэффициента Кронбаха, композитной надежности, дискриминантной валидности и моделирования структурными уравнениями (SEM) в Smart PLS 4. Исследование показало, что инвестиционное поведение значительно влияет на решения сельских инвесторов. Это означает, что они принимают решения, основываясь на своих потребностях, целях и опыте владения активами. Склонность к риску, напротив, оказывает незначительное влияние. Это говорит о том, что уровень склонности к риску не играет ключевой роли в инвестиционных решениях сельских инвесторов.

1. Raut R. K., Kumar R., Das N. Individual investors’ intention towards SRI in India: An implementation of the theory of reasoned action. Social Responsibility Journal. 2021;17(7):877-896. DOI: 10.1108/SRJ-02-2018-0052

2. Mittal S. K. Behavior biases and investment decision: Theoretical and research framework. Qualitative Research in Financial Markets. 2022;14(2):213-228. DOI: 10.1108/QRFM-09-2017-0085

3. Manocha S. , Bhullar P. S. , Gupta P. K. Exploring the determinants of investment behavior: Evidence from agrarian investor class of India. Business Perspectives and Research. 2023. DOI: 10.1177/22785337231156659

4. Balon R. An explanation of generations and generational changes: Generations. The real differences between Gen Z, Millennials, Gen X, Boomers, and Silents — and what they mean for America’s future. Jean M. Twenge; Atria Books; New York; 2023; ISBN 9781982181611; p 554. Academic Psychiatry. 2024;48(3):280-282. DOI: 10.1007/s40596-023-01921-3

5. Lokhande M. A. A study of investment awareness and patterns of savings and investments by rural investors. Indian Journal of Finance. 2015;9(7):22-31. DOI: 10.17010/ijf/2015/v9i7/72351

6. Sussman R., Gifford R. Causality in the theory of planned behavior. Personality and Social Psychology Bulletin. 2019;45(6):920-933. DOI: 10.1177/0146167218801363

7. Albarracin D., Shavitt S. Attitudes and attitude change. Annual Review of Psychology. 2018;69:299-327. DOI: 10.1146/annurev-psych-122216-011911

8. Adil M., Singh Y., Ansari M. S. How financial literacy moderate the association between behaviour biases and investment decision? Asian Journal of Accounting Research. 2022;7(1):17-30. DOI: 10.1108/AJAR-09-2020-0086

9. Sarkar A. K., Sahu T. N. Demographic factors, awareness, perceived risk attitude and investment behaviour — A discussion. In: Sarkar A. K., Sahu T. N. Investment behaviour: Towards an individual-centred financial policy in developing economies. Bingley: Emerald Publishing Limited; 2018:9-20. DOI: 10.1108/978-1-78756-279-020181002

10. Katper N. K., Azam M., Karim N. A., Zia S. Z. Behavioral biases and investors’ decision-making: The moderating role of socio-demographic variables. International Journal of Financial Engineering. 2019;6(3):19500208. DOI: 10.1142/s2424786319500208

11. Merter A. K., Balcıoğlu Y. S. Financial literacy and decision-making: The impact of knowledge gaps on financial outcomes. Borsa Istanbul Review. 2025;25(S1):101-108. DOI: 10.1016/j.bir.2025.07.010

12. Mohta A., Shunmugasundaram V. Moderating role of millennials’ financial literacy on the relationship between risk tolerance and risky investment behavior: Evidence from India. International Journal of Social Economics. 2024;51(3):422-440. DOI: 10.1108/IJSE-12-2022-0812

13. Mishra M., Mishra S. Financial risk tolerance among Indian investors: A multiple discriminant modeling of determinants. Strategic Change. 2016;25(5):485-500. DOI: 10.1002/jsc.2075

14. Sharma M., Nanda S., Gupta S. A systematic review of investment confidence, risk appetite and dependence status of women. International Journal of System Assurance Engineering and Management. 2024. DOI: 10.1007/s13198-024-02295-x

15. Berthalia F., Mareta N., Amanda L., Julia J. Analysis of the influence of capital market level, mindset, and minimum capital on investment interest of Bangka Belitung University students with investment risk as moderating variable. International Journal of Multidisciplinary Applied Business and Education Research. 2023;4(7):2243-2254. DOI: 10.11594/ijmaber.04.07.08

16. Mundi H. S., Kumar D. The potential of alternative investments as an asset class: A thematic and bibliometric review. Qualitative Research in Financial Markets. 2022;15(1):119-141. DOI: 10.1108/QRFM-11-2021-0182

17. Parsai P., Chandok A. K. The role of financial literacy in investment decision-making: A review. International Journal of Innovations in Science, Engineering and Management. 2025;4(1):296-301. DOI: 10.69968/ijisem.2025v4i1296-301

18. Sun J., Pellegrini M. M., Dabić M., Wang K., Wang C. Family ownership and control as drivers for environmental, social, and governance in family firms. Review of Managerial Science. 2024;18(4):1015- 1046. DOI: 10.1007/s11846-023-00631-2

19. Rahayu S. M., Worokinasih S., Damayanti C. R., et al. The road to financial resilient: Testing digital financial literacy and saving behavior. Finance: Theory and Practice. 2024;28(3):218-230. DOI: 10.26794/2587-5671-2024-28-3-218-230

20. Rastogi S., Gupta S. Development of scale to measure objectives-oriented investment behavior. Journal of Behavioral Finance. 2020;21(3):301-310. DOI: 10.1080/15427560.2019.1692346

21. Kannadhasan M. Retail investors’ financial risk tolerance and their risk-taking behaviour: The role of demographics as differentiating and classifying factors. IIMB Management Review. 2015;27(3):175-184. DOI: 10.1016/j.iimb.2015.06.004

22. Sarwar A., Afaf G. A comparison between psychological and economic factors affecting individual investor’s decision-making behavior. Cogent Business & Management. 2016;3(1):1232907. DOI: 10.1080/23311975.2016.1232907

23. Thakkar J. J. Structural equation modelling: Application for research and practice. Singapore: Springer; 2020. 140 p. (Studies in systems, decision and control. Vol. 285). DOI: 10.1007/978-981-15-3793-6

24. Marinelli N., Mazzoli C., Palmucci F. How does gender really affect investment behavior? Economics Letters. 2017;151:58-61. DOI: 10.1016/j.econlet.2016.12.006

25. Charles M. A., Kasilingam D. R. Does the investor’s age influence their investment behaviour? Paradigm. 2013;17(1-2):11-24. DOI: 10.1177/0971890720130103

26. Hair J. F., Jr., Sarstedt M., Matthews L. M., Ringle C. M. Identifying and treating unobserved heterogeneity with FIMIX-PLS: Part I — method. European Business Review. 2016;28(1):63-76. DOI: 10.1108/EBR-09-2015-0094

27. Hair J. F., Ringle C. M., Sarstedt M. PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice. 2011;19(2):139-152. DOI: 10.2753/MTP1069-6679190202

28. Ab Hamid M. R., Sami W., Mohmad Sidek M. H. Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. Journal of Physics: Conference Series. 2017;890:012163. DOI: 10.1088/1742-6596/890/1/012163

29. Hair J. F., Risher J. J., Sarstedt M., Ringle C. M. When to use and how to report the results of PLS-SEM. European Business Review. 2019;31(1):2-24. DOI: 10.1108/EBR-11-2018-0203

30. Mak M. K., Ip W. H. An exploratory study of investment behaviour of investors. International Journal of Engineering Business Management. 2017. DOI: 10.1177/1847979017711520

31. Ratnawati K. Decoding the mind of investors: A systematic literature review on investment decisionmaking. Finance: Theory and Practice. 2026;30(1):228-241. DOI: 10.26794/2587-5671-2026-30-1-228-241