Abstract
Adequate financial decision-making necessitates a solid foundation in financial literacy and comprehension of its principles. This is particularly crucial for students, as their financial and behavioral choices can significantly impact their future financial and career prospects. Consequently, the present study aimed to explore the causal links between economics education, financial literacy, decision-making abilities, and entrepreneurial intentions. Employing a descriptive-correlational approach, the researchers utilized structural equation modeling, drawing on a sample of 375 individuals purposefully selected from a population of 11,345 students at Urmia University. Data were collected through a questionnaire, and the research variables were initially assessed using multiple correspondence analysis. Subsequently, the research model was estimated. The findings revealed a positive and substantial impact of economics education on students' financial literacy and the influence of economics education on decision-making skills and entrepreneurial intentions through the mediating factor of financial literacy. Furthermore, the results confirmed the moderating role of socioeconomic status in the relationship between economics education and financial literacy. Consequently, the study's outcomes can inform educational institutions and policymakers, supporting the implementation of policies aimed at enhancing general economic education and emphasizing the equitable and distributive nature of such initiatives.
1 Introduction
Given the complexity of financial markets, the development of financial institutions' activities, and their continuous efforts to increase market share, the necessity of financial literacy has become of great importance. In addition, understanding the concepts and skills related to financial literacy has become necessary to enable the consumer to survive in modern society and to resist the diversity and complexity of the existing financial products (Almenberg & Dreber, 2015). Hence, knowing how financial literacy is achieved and how and whether it can be taught is of great importance (Corsini & Giannelli, 2021). According to Lusardi and Mitchell (2023), individuals who are financially literate are better able to understand the various factors that influence their financial decisions throughout their lives and are more able to anticipate the causes and outcomes of low financial literacy appropriately. There is a need for basic financial literacy to make effective financial planning decisions, as individuals are expected to take incremental responsibility for their financial affairs (Mustafa et al., 2023). But increasing evidence shows that people tend to make systematic errors in judgment and decision-making, and there is a high level of heterogeneity in the degree of limited rationality among people's decisions, and the loss of well-being caused by poor decisions can be significant (Choi, Kariv, Müller, & Silverman, 2014). Changing the motivations, rebuilding the principles of selection, and correct training are ways to improve the quality of decision-making (Morewedge et al., 2015; Volpp et al., 2009). The economics curriculum enables students to understand and calculate probabilities and demonstrate higher quality decision-making in investment and risk, and this education plays an important role in shaping social preferences and how people interact with others (Chen, Lin, & Wang, 2021). According to different researchers, an increase in the level of financial literacy increases the level of risk tolerance (e.g., Fisher & Yao, 2017; Kannadhasan, 2015; Kumar, Kambuaya, Jamil, & Muneer, 2015; Mahdzan, Mohd-Any, & Chan, 2017; Mishra & Mishra, 2016; Pinjisakikool, 2018; Sharma, Chalise, & Dangol, 2017; Yong & Tan, 2017). Higher levels of financial literacy have a significant impact on people and help them have fewer problems in the decision-making process (Kumar, Pillai, Kumar, & Tabash, 2023). In addition, personal traits such as gender, employment status, and household income are key factors affecting financial literacy, and there is a strong relationship between education and advanced financial literacy (Shen, Lin, Tang, & Hsiao, 2016). Therefore, governments are globally interested in finding appropriate approaches and solutions to improve people's financial literacy by developing national strategies to present learning opportunities at different levels of education (Atkinson & Messy, 2012). Evidence for the causal impact of education on decision-making is mixed. On the one hand, Banks, Carvalho, and Perez-Arce (2019) find that an additional year of required education has no significant impact on the quality of decision-making (Banks et al., 2019). On the other hand, a randomly assigned financial education program seems to improve students’ decision-making successfully (Kim, Choi, Kim, & Pop-Eleches, 2018; Luhrmann, Serra-Garcia, & Winter, 2018). Such mixed results raise the idea that the content of education in particular, studying economics may determine whether education has a causal impact on decision-making (Chen et al., 2021). However, Li and Qian (2020) found that individuals’ entrepreneurial intentions and business development are influenced by financial literacy. It has been reported that small- and medium-sized businesses and entrepreneurship are vital forces behind economic development and growth and can decrease the level of poverty (Al-Mamary, Abdulrab, Alwaheeb, & Alshammari, 2020; Alshebami, 2021; Cai, Murad, Ashraf, & Naz, 2021; Chew, Tang, & Buck, 2022; Li et al., 2020). In addition, they assist individuals in creating novel objectives, goods, and services that raise living standards (Ali, Ali, Badghish, & Soomro, 2021). Early planning would be necessary to foster an entrepreneurial intent in people, especially potential entrepreneurs (eligible students). For instance, people need to be highly self-assured, risk-tolerant, and open to innovation (Nasip, Amirul, Sondoh, & Tanakinjal, 2017). The intention is fundamental when choosing whether to launch a new business venture (Barba-Sánchez & Atienza-Sahuquillo, 2018). Further, by cooperating with the government, business, and society, higher education institutions can foster entrepreneurial behavior by utilizing their diverse knowledge and skills (O’Brien & Cooney, 2019).
Iran is a developing nation seeking economic growth and a stable income through innovative economics. To ensure economic prosperity, individuals with entrepreneurial capabilities and influential skills for decision-making must be trained, and this issue should be considered in universities. One of Iran’s universities, Urmia University, was founded in 1965 in Urmia, West Azerbaijan province. With 637 administrative staff, 532 faculty members and scholarship holders, more than 17,000 students, five research institutes, 11 faculties, and higher education centers, a language training center, and a university campus, this university continues to pursue its educational goals and research activities. Despite academic instruction, the educational system should also provide students with modern skills and knowledge to prepare them for entering the workforce and their role as economic activists, future decision-makers, and entrepreneurs in the nation. Financial literacy is becoming increasingly important in the lives and careers of young people. Accordingly, Urmia University offers undergraduate students both fundamental and specialist units in economics, including accounting, general economics, financial and budget foundations, engineering economics, and economic plan evaluation. Our research aims to address the effect of economics education on financial literacy and decision-making skills, and our criterion for selecting the statistical sample of this study is to pass all these units. The study also attempts to find out how the students at Urmia University want to pursue entrepreneurship, given the moderating influence of family socioeconomic status. Figure 1 displays the conceptual model of this study.
2 Literature Reviews
2.1 Financial Literacy
These days, having financial management methods and skills for collecting, analyzing, and using financial data are essential due to the diversity, complexity, and quick development of financial markets (Lusardi & Mitchell, 2011). According to Nayebmohseni, Khalifehsultani, and Hejazi (2022), individuals who are less equipped to handle dynamic, complicated events suffer the most because they lack the knowledge and expertise necessary to prevent financial mismanagement. An individual’s financial empowerment and well-being heavily depend on their level of financial literacy or financial awareness (Ali et al., 2021). In fact, as mentioned by Li and Qian (2020), financial literacy is the capacity to understand and apply basic financial principles to allocate financial resources and spot market opportunities effectively. According to Hung, Parker, and Yoong (2009), financial literacy is the knowledge and skills needed to manage financial resources and confidently make financial decisions. Financial literacy is defined by the Organization for Economic Co-operation and Development (OECD, 2014) as the ability to make informed decisions in various financial contexts, enhance societal and individual financial well-being, and facilitate economic participation. It also includes sufficient knowledge and understanding of financial concepts and risks. Only people with the necessary information and application abilities regarding the decision situations they encounter may make well-informed financial decisions. According to Cole, Sampson, and Zia (2011), those without strong financial literacy are more likely to make poor financial decisions.
2.2 Decision-Making Skills
According to decision theory, people cannot make decisions or choose an option until they set criteria to satisfy their expectations (Shokrizadeh & Mazaheri, 2021). Individuals’ risk preferences are one of the most important markers in investors' behavioral and psychological examination. Risk preferences are an important consideration in analyzing investor behavior and decision-making processes, which are related to an individual’s attitude toward risk (Borio, Kennedy, & Prowse, 1994). There are notable changes in the risk priorities of students who study economics. In particular, individuals majoring in non-economic subjects but with comparable risk preferences demonstrate a neutral position in comparison to those with an academic background in economics (Rabin, 2013). Risk and uncertainty are two different concepts in management. According to Ghobadi Alwar, Mousavi, and Shariatnejad (2018), a situation is considered risky if there is a clear possibility of uncertainty but an unclear chance of it. The risk in the Knight (1921) formula relates to circumstances where outcomes are known or knowable, enabling estimation based on historical data and computation in accordance with probability laws (Knight, 1921).
On the other hand, circumstances where potential outcomes are neither known nor objectively determinable or calculable are referred to as uncertain. Subjective probability can be utilized to lessen this distinction. This method decreases the difficulty of making decisions in the face of ambiguity by substituting subjective probabilities and beliefs for objective possibilities when they are unknown. When it comes to economics, it is common procedure to presume that people have probability assumptions about each source of uncertainty. These assumptions serve as the cornerstone for optimizing predicted utility and are updated on a regular basis. This paradigm offers a dependable approach to dealing with ambiguity (Gilboa, Postlewaite, & Schmeidler, 2008). High financial literacy makes it simple for people to acquire the required risk management abilities, spot potential business ventures, learn more about the industry, manage their money more wisely, and make better financial decisions – all of which are essential for the expansion of venture creation (Hilgert, Hogarth, & Beverly, 2003; Klapper, Lusardi, & Van Oudheusden, 2015; Li & Qian, 2020; Qader et al., 2022). As a result of numerous education initiatives, people’s financial literacy will likely increase, increasing demand for financial products with varying risk profiles and supporting the growth of the financial industry (Bayar, Sezgin, Öztürk, & Şaşmaz, 2020) .In the last 20 years, there has been a discernible movement in the focus of research in experimental economics and rational choice theory toward social preferences. Simple behavioral games have been used in experimental investigations to seriously challenge egoism and repeatedly highlight the fact that people typically make decisions that take other people’s well-being into account (Fehr & Gintis, 2007; Henrich et al., 2007). As a result, new models that go beyond narrow self-interest have been created, and societal preferences have significantly impacted how cooperation has evolved. They have deterministic interactions with motivational structures; therefore, a certain number of decision-makers with reciprocal social preferences can result in radically different results (Diekmann, Jann, Przepiorka, & Wehrli, 2014; Gurerk, Irlenbusch, & Rockenbach, 2006). People differ from one another in what they prefer, and this influences how they participate. As a result, social preferences – which include personality traits or persistent individual differences in one’s preferences for allocating resources between oneself and others – have drawn the attention of psychologists. These preferences do not change much over time or differ much between people from different socioeconomic backgrounds and cultures (Murphy & Ackermann, 2014).
2.3 Entrepreneurial Intention
Businesses, governmental agencies, and legislative bodies have all given entrepreneurship development special attention as a result of the economic and social progress brought about by entrepreneurship, especially in emerging nations (Guo, He, & Li, 2016; Mensah, Zeng, Luo, Xiao, & Lu, 2021). Accordingly, entrepreneurship is frequently perceived as a vital economic engine and a booster for the expansion and well-being of the global economy (Gieure, del Mar Benavides-Espinosa, & Roig-Dobón, 2020; Slavinski, Todorović, Vukmirović, & Montenegro, 2020; Tleuberdinova, Shayekina, Salauatova, & Pratt, 2021). To put it simply, entrepreneurship is the ability of an individual to identify business opportunities and seize them in order to provide value and profit to the organization (Mensah et al., 2021; Ohanu & Ogbuanya, 2018). It is regarded as a cutting-edge tactic in the global community that can be depended upon to lower unemployment while also promoting social advancement and economic development (Coulibaly, Erbao, & Mekongcho, 2018). According to most entrepreneurship academics, a sizable portion of what is referred to as entrepreneurial activity is the direct outcome of individual intentions and subsequent actions over an extended period (Grande, Madsen, & Borch, 2011; Gupta & Gupta, 2015). Entrepreneurial intention is characterized as a vital step in an entrepreneurial plan at any time a person intends to launch a new business. It demonstrates the driving force behind why someone will act on predetermined decisions (Salamzadeh, Sangosanya, Salamzadeh, & Braga, 2022). Financial literacy aids in preparing people with entrepreneurial intent, financial sources, market awareness, and financial skills (Hilgert et al., 2003; Li & Qian, 2020; Miller, Godfrey, Levesque, & Stark, 2009). A high degree of financial literacy can provide people with the knowledge and abilities they need to make wise financial decisions and investments, raise their standard of living, become more financially independent, and feel more confident and independent (Ali et al., 2021; Gilenko & Chernova, 2021; Philippas & Avdoulas, 2021; Sohn, Joo, Grable, Lee, & Kim, 2012). Higher authorities in underdeveloped nations need to emphasize the importance of entrepreneurial intentions in educational settings more (Ramadani, Rahman, Salamzadeh, Rahaman, & Abazi-Alili, 2022). Policies have to be the driving force behind changing students’ perceptions of entrepreneurship, encouraging them to consider it as a workable future solution, and cultivating an entrepreneurial culture (De Jorge‐Moreno et al., 2012).
2.4 Aims and Hypotheses Development
According to the investigation by Chen et al. (2021) on the relationship between financial literacy and economics education and decision-making, students who take economics courses outperform their peers when it comes to social and investment judgments. Actually, adults who participate in financial education programs in school and university have higher levels of financial literacy (Stella, Filotto, Cervellati, & Graziano, 2020). However, supplementary financial training is necessary to fully introduce students to the wide range of activities comprising financial literacy (Cordero & Pedraja, 2019). Decision-making improves when more financially literate (Trazodar, Ghasemi, & Mohseni, 2023). Higher financial literacy increases the likelihood of people making prudent selections when taking on riskier company investments (Gilenko & Chernova, 2021; Mustafa et al., 2023). In their research, Muzakky and Suekarno (2021) concluded that there is a substantial correlation between risk preference and financial literacy. According to Mudzingiri (2019), students with poor levels of financial literacy have risk preferences that are correlated with their financial literacy. Financial knowledge significantly influences risk perception (Bayrakdaroğlu, Üniversitesi, Kuyu, & Üniversitesi, 2019. The following study assumptions are established based on the review:
H1: Economics education is effective on students' financial literacy.
H2: Economics education affects students' probabilistic beliefs.
H3: Economics education contributes to students' risk preferences.
H4: Economics education plays a role in students' social preferences
H5: Financial literacy affects students' probabilistic beliefs.
H6: Financial literacy exerts a role in students' risk preferences.
H7: Financial literacy has an effect on students' social preferences.
A high degree of financial literacy among people in general and among youth in particular may help encourage entrepreneurial endeavors such as self-employment and motivation (Li & Qian, 2020; Oseifuah, 2010). The effect of financial literacy on entrepreneurial ambition was examined by Alshebami and Al Marri (2022) and Hasan et al. (2020), who found that there is a direct correlation between the two. De Jorge‐Moreno et al. (2012), in their research, have pointed out the positive effect of business and economics educational programs on students’ entrepreneurial intentions. The following study assumptions are established based on the review:
H8: Economics education influences students' entrepreneurial intentions.
H9: Financial literacy contributes to students' entrepreneurial intentions.
People’s financial literacy rises with age, risk-taking, family income, parental employment, high working experience, and involvement in educational programs. Higher financial literacy makes people more successful in both their personal and professional lives (Cude, 2010; Potrich, Vieira, & Kirch, 2015; Tang, Baker, & Peter, 2015). A person’s financial literacy is higher when their parents are educated. These people make more money and have future-focused financial plans. In addition, they have better financial circumstances in retirement, while some educated family members have gone bankrupt (O'Neill et al., 2005). The following study assumptions are established based on the review:
H10: The family's socioeconomic status moderates the relationship between economic education and financial literacy.
3 Method
The current research is an applied study in terms of purpose and descriptive-correlational in terms of data collection method based on structural equation modeling. In the analytical model, economics education and financial literacy are independent and mediating variables. Risk preferences, social preferences, possible beliefs, and entrepreneurial intention are also dependent variables. In addition, the socioeconomic status of the family is the moderating variable. The statistical population of this study includes all students studying at Urmia University in the academic year 2021–2022 (N = 11,345). The statistical sample contains 375 people based on Krejcie and Morgan's table. Due to the different faculties in which the students study, a random sampling method was used to select the sample. A questionnaire was employed for data collection and questionnaires were all standard, and their validity and reliability have been tested previously. However, validity and reliability were investigated again based on the modifications made in some questionnaires and their localization according to the existing conditions. The content validity ratio (CVR) was utilized to check the validity of the questionnaires. Hence, the initial questionnaire was distributed among several experts in the fields of educational management and economics, and the CVR was calculated for all questions based on the evaluation of experts. Most questions had a high CVR, and the questions with a CVR of less than 0.62 were excluded from the test. Cronbach's alpha was employed to evaluate the reliability of the research instruments, which according to Table 1 was greater than 0.7 for all questionnaires; thus, the instruments had the necessary reliability.
Reliability coefficient of research variables
Variable | Number of Items | Cronbach’s Alpha | Reference |
---|---|---|---|
Socioeconomic status | 5 | 0.72 | (Ghodrat Nama, Heydari Nejad, & Davoudi, 2013) |
Risk-taking | 4 | 0.75 | (Segal, Borgia, & Schoenfeld, 2005) |
Social norms | 25 | 0.72 | (Elster, 1989) |
Probabilistic beliefs | 10 | 0.72 | (Afantiti-Lamprianou & Williams, 2003) |
Entrepreneurship intention | 6 | 0.90 | (Liñán, Rodríguez-Cohard, & Rueda-Cantuche, 2011) |
Financial literacy | 4 | 0.77 | (Corsini & Giannelli, 2021; Lusardi & Mitchell, 2011) |
In this research, risk preference, social preferences, possible beliefs, socioeconomic status, and financial literacy were calculated using the Multiple Correspondence Analysis (MCA) by XLSTAT 2019 software, and then, the given model was estimated using the Generalized Structural Equation Model by Stata 17 software.
When there are no preconceived notions about the characteristics of the variables, MCA is an exploratory data analysis technique that is used to find systematic links between them. This technique provides a thorough description and analysis while also successfully simplifying complex data. Correspondence analysis is expanded upon by MCA, which focuses on the patterns of relationships between dependent categorized variables. It is an effective tool for non-quantitative category data analysis. A statistical technique called generalized structural equation modeling (GSEM) is frequently used to examine binary or classified variables in addition to ordinal and categorical data. Researchers can measure latent variables and their interrelationships using this method. GSEM is highly helpful in modeling latent variable scenarios since it integrates structural and generalized linear modeling approaches.
4 Findings
The first part of the questionnaire consisted of the demographic information of Urmia University students, the data of which are provided in Table 2. Most participants of the sample group were males and from the technical and engineering major.
Demographic information of the participants
F | % | |
---|---|---|
Gender | ||
Man | 221 | 58.9 |
Woman | 154 | 41.1 |
Economics education | ||
Passed economics courses | 221 | 58.9 |
Did not pass the economics courses | 154 | 41.1 |
Major | ||
Literature and human sciences | 104 | 27.73 |
Technical and engineering | 194 | 51.73 |
Business Management | 77 | 20.53 |
Total | 375 | 100 |
Table 3 presents descriptive indices of the variables, including mean, standard deviation, skewness, and kurtosis. The variables' mean and standard deviation indices indicate the appropriate dispersion of the data, and the skewness and kurtosis indices represent the normality of the distribution of the research variables. In causal modeling, the distribution of variables should be normal. The absolute value of skewness and kurtosis of the variables should not be more than 3 and 10, respectively. Based on data in Table 3, the absolute values of the skewness and kurtosis of all variables are lower than the mentioned values. Therefore, the assumption of causal modeling, including univariate normality, is satisfied.
To examine the main hypothesis of the research in accordance with the researcher's conceptual framework, the variables' indices were extracted using multiple regression analysis by XLSTAT 2019 software. Then, generalized structural equations were used to estimate the model by the Stata 17 software.
As shown in Figure 2, axis 1 separates the presence or absence of financial literacy on the left and right sides, respectively. In other words, in this diagram, all options related to correct answers (1) to financial literacy questions are on the left, while all options attributed to incorrect answers (0) to financial literacy questions are on the right of the vertical axis. Therefore, the first axis, which includes a large part of the total inertia (59.64%), reveals the complementary and cumulative feature of having financial resources. Finally, as mentioned, in the MCA methodology, the horizontal axis in Figure 2 represents the financial literacy index, and according to the diagram, it is possible to compare the students of different fields and their financial literacy.

Results of MCA of financial literacy.
The given dimensions in Table 4 were extracted to maximize the distances between row and column elements; they explain successive dimensions of the Chi-square value (inertia equals Pearson's Chi-square divided by the total sample volume) as less as possible. Therefore, extracting these dimensions is similar to extracting the principal components in factor analysis. Based on the data, it seems that 59.64% of inertia can be explained with one dimension, and two dimensions of the table together can explain 77.55%. According to the high indices of Eigenvalue and Variability%, in column F1, the results of column F1 were used in subsequent analyses in the Stata software. The graphs and tables of the extracted indicators for the rest of the variables are presented in Table 5.
MCA of financial literacy
F1 | F2 | F3 | F4 | |
---|---|---|---|---|
Eigenvalue | 0.59 | 0.17 | 0.12 | 0.09 |
Variability (%) | 59.64 | 17.91 | 12.72 | 9.72 |
Cumulative (%) | 59.64 | 77.55 | 90.28 | 100.00 |
Descriptive statistics of research variables
Variable | Kurtosis | Skewness | SD | Mean |
---|---|---|---|---|
Socioeconomic status | −0.41 | 0.08 | 0.73 | 2.77 |
Risk preferences | −0.16 | 0.28 | 0.52 | 3.42 |
Social preferences | 0.41 | −0.10 | 0.44 | 4.12 |
Probabilistic beliefs | −0.49 | 0.18 | 0.21 | 0.43 |
Financial literacy | −0.36 | −0.25 | 0.37 | 0.54 |
Entrepreneurship intention | 0.91 | −0.02 | 0.74 | 3.67 |
Note. SD, Standard deviation.
Based on the results of Table 5 and Figure 3, one dimension of the table can account for 7.28% of inertia, whereas the two dimensions taken together account for 11.72%.
MCA of risk preferences
F1 | F2 | F3 | F4 | |
---|---|---|---|---|
Eigenvalue | 0.45 | 0.35 | 0.33 | 0.28 |
Variability (%) | 11.29 | 8.93 | 8.30 | 7.15 |
Cumulative (%) | 11.29 | 20.22 | 28.52 | 35.68 |

MCA of risk preferences.
Based on the data Table 6 and Figure 4, social preferences account for 5.82% of inertia, while the two table dimensions taken together account for 10.47%.
MCA of social preferences
F1 | F2 | F3 | F4 | |
---|---|---|---|---|
Eigenvalue | 0.23 | 0.18 | 0.13 | 0.11 |
Variability (%) | 5.82 | 4.64 | 3.24 | 2.85 |
Cumulative (%) | 5.82 | 10.47 | 13.71 | 16.57 |

MCA of social preferences.
Based on the findings Table 7 and Figure 5, probabilistic beliefs can account for 21.07% of inertia, while the two table dimensions taken together account for 34.37%.
MCA of probabilistic beliefs
F1 | F2 | F3 | F4 | |
---|---|---|---|---|
Eigenvalue | 0.25 | 0.16 | 0.12 | 0.10 |
Variability (%) | 21.07 | 13.30 | 10.04 | 8.82 |
Cumulative (%) | 21.07 | 34.38 | 44.42 | 53.25 |

MCA of probabilistic beliefs.
The data in Table 8 and Figure 6 indicate that entrepreneurship purpose can account for 15.51% of inertia, whereas the combined contributions of the two table dimensions can account for 27.27%.
MCA of entrepreneurship intention
F1 | F2 | F3 | F4 | |
---|---|---|---|---|
Eigenvalue | 0.62 | 0.47 | 0.35 | 0.27 |
Variability (%) | 15.51 | 11.75 | 8.92 | 6.79 |
Cumulative (%) | 15.51 | 27.26 | 36.18 | 42.97 |

MCA of entrepreneurship intention.
The results of Table 9 and Figure 7 imply that socioeconomic class may account for 13.24% of inertia, whereas the combination of the two table dimensions can account for 21.90%.
MCA of socioeconomic status
F1 | F2 | F3 | F4 | F5 | |
---|---|---|---|---|---|
Eigenvalue | 0.53 | 0.34 | 0.31 | 0.29 | 0.25 |
Variability (%) | 13.24 | 8.66 | 7.90 | 7.31 | 6.43 |
Cumulative (%) | 13.24 | 21.90 | 29.80 | 37.12 | 43.55 |

MCA of socioeconomic status.

Estimation of the GSEM in standard coefficient.
Structural equation modeling can be used to investigate the effects of the independent variable on the dependent and mediator variables, as indicated in the research’s conceptual model. The following equations are employed in this regard:
Note: Eei, economic education; Fli, financial literacy; Sesi, socioeconomic status; Rpi, risk preferences; Spi, social preferences; Pbi, probabilistic beliefs; and Ei, entrepreneurship intention).
According to Table 10 and Figure 8, the value of the z coefficients of each path is more than 1.96 (p < 0.05); as a result, all research hypotheses are verified. However, considering that the indirect effects of variables are not calculated in Stata software, according to Table 11 the Sobel test was used to estimate the indirect effect and mediation of financial literacy in the relationship between economics education, decision-making skills, and entrepreneurial intention.
Table of estimated coefficients of variable effects
Variable | Path coefficient | Z-Statistics | Significance level | Result |
---|---|---|---|---|
From economics education on | ||||
Financial literacy | 0.2 | 14.60 | 0.00 | Supported |
Probabilistic beliefs | 0.038 | 3.93 | 0.03 | Supported |
Risk preferences | 0.053 | 4.08 | 0.00 | Supported |
Social preferences | −0.032 | −4.09 | 0.00 | Supported |
Entrepreneurship intention | 0.079 | 4.89 | 0.00 | Supported |
From financial literacy on | ||||
Probabilistic beliefs | 0.067 | 2.09 | 0.05 | Supported |
Risk preferences | 0.14 | 3.26 | 0.00 | Supported |
Social preferences | −0.081 | −3.16 | 0.00 | Supported |
Entrepreneurship intention | 0.22 | 4.09 | 0.00 | Supported |
The moderating effect of the socio-economic status of the family | 0.34 | 2.40 | 0.05 | Supported |
Table of estimation of indirect effects of variables
Variable | Z-Statistics | Significance Level | Result |
---|---|---|---|
Ee → Fl → Probabilistic beliefs | 2.06 | 0.03 | Supported |
Ee → Fl → Risk preferences | 3.18 | 0.00 | Supported |
Ee → Fl → Social preferences | 3.08 | 0.00 | Supported |
Ee → Fl → Entrepreneurship intention | 3.93 | 0.00 | Supported |
Based on the results of Table 6, the value of the z statistic for all routes is higher than 1.96, and the significance level is lower than 0.05. Therefore, the mediating role of financial literacy in the relationship between economic education and risk preferences, social preferences, probabilistic beliefs, and entrepreneurial intention is confirmed, and economic education through financial literacy affects decision-making variables and entrepreneurial intention.
5 Discussion
The presented study aimed to investigate the causal relationship between economics education, financial literacy, decision-making skills and entrepreneurial intention. Based on the results, all the main hypotheses of the research were verified; thus, economics education was effective in financial literacy. Furthermore, economics education affected the decision-making skills (probabilistic beliefs, risk preferences, and social preferences) and entrepreneurial intention of students through financial literacy, and students studying economics outperformed compared to the rest of the students in the relevant variables.
About the effect of economics education on students' financial literacy, according to the value of the z-statistic, which was 14.6 (p < 0.01) and greater than 2.57, it can be confirmed with a confidence interval of 99% that this variable has a direct, positive, and significant impact on students' financial literacy. This finding is consistent with the results of some other studies (Corsini & Giannelli, 2021; Kaiser & Menkhoff, 2017; Meier & Sprenger, 2013). Individuals who choose to participate in financial education programs make superior financial decisions and act more confidently in making investment decisions after participating in these workshops for a period. Therefore, understanding how financial literacy is achieved and how and whether it can be taught is of great significance. Various governments motivate their citizens to save more and more appropriately and make them aware of the significance of saving and having proper financial education in certain cases (Corsini & Giannelli, 2021). Globally, governments are interested in finding suitable strategies and solutions to improve individuals' financial literacy by developing national strategies to provide learning opportunities at various levels of education (Atkinson & Messy, 2012). Although the general finding highlights more heterogeneity in the effectiveness of financial education programs (Walstad et al., 2017), the effect of these programs is generally positive (Kaiser & Menkhoff, 2017). A randomly assigned financial education program seems to improve students' decision-making successfully (Luhrmann et al., 2018).
Regarding the impact of economics education and financial literacy on students' possible beliefs, according to the value of z-statistics, which equals 3.93 and 2.09 (p < 0.05) and greater than 1.96, it can be confirmed with a confidence interval of 95% that economics education and financial literacy had a direct, positive, and significant effect on students' probabilistic beliefs. The results of some other studies (Almenberg & Dreber, 2015; Fernandes, Lynch, & Netemeyer, 2014; Sachse, Jungermann, & Belting, 2012; Sadzik, 2021; Van Rooij, Lusardi, & Alessie, 2011; Zhang, 2022) are in line with those of the present study. Objective probabilities can be replaced with subjective probabilities if they are not recognized since decision-making problems are reduced to risk-based decision-making problems under uncertainty conditions. In economics, it is assumed that people have probabilistic beliefs about each source of uncertainty when modeling uncertainty situations and use these probabilistic beliefs in decision-making (Gilboa et al., 2008). Economics/business students demonstrate higher decision-making qualities in investment, where probabilistic reasoning is of necessity. Moreover, statistics courses in business/economics fields enable students to understand and measure probability (Chen et al., 2021).
Concerning the impact of economics education and financial literacy on students' risk preferences, according to the value of z-statistics, which is equal to 4.08 and 3.26 (p < 0.01) and greater than 2.57, with a confidence interval of 99%, it can be confirmed that economics education and financial literacy could directly, positively, and significantly affect students' risk preferences. This result conforms to the findings of other similar studies (Bayrakdaroğlu, et al., 2019; Chen et al., 2021; Mayoral & Vallelado, 2012; Mudzingiri, 2019; Muzakky & Soekarno, 2021). University students with low levels of financial literacy are more risk-taking and have high self-confidence compared to students with high financial literacy, and having financial literacy reduces mistakes in selecting risk-priority and time-priority students. Using financial literacy can provide a suitable amount of confidence and risk aversion among students (Mudzingiri, 2019). Students in economics/business fields demonstrate significant changes in risk preferences. Students who study economics perform more neutrally compared to those with the same main preferences but study a non-economics/business major. Risk neutrality in small equity positions is regarded as an expected utility-maximizing behavior (Rabin, 2013). Inadequate financial literacy affects the lives of individuals, their families, friends, and business partners due to inappropriate financial decisions, and this has adverse effects on society and even causes a decrease in national wealth and, ultimately, a decline in the level of financial well-being in society (Aren & Zengin, 2016).
As regards the effect of economics education and financial literacy on students' social preferences, according to the value of the z-statistics, which equals −4.09 and −3.16 (p < 0.01) and greater than 2.57, it can be mentioned (with a confidence interval of 99%) that economics education and financial literacy could have a direct, negative, and significant influence on students' social preferences. The findings of other researchers (Bauman & Rose, 2011; Chen et al., 2021) corroborate our study's findings. Students in economics/business majors do not show significant changes in social preferences; they seem mostly inclined to believe that others' behavior is narcissistic (Chen et al., 2021). Economists are more generous than other experts, and economics students are more generous than other students and less likely to donate than other students. In addition, there is an indoctrination effect for non-majors and a selection impact for majors (Bauman & Rose, 2011).
Based on the results regarding the effect of economics education and financial literacy on students' entrepreneurship intention, according to the value of z-statistics, which is equal to 4.89 and 4.09 (p < 0.01) and greater than 2.57, it can be confirmed that economics education and financial literacy could directly, positively, and significantly contribute to students' entrepreneurial intentions (with a confidence interval of 99%). This is consistent with the results of the authors (Alshebami & Al Marri, 2022; De Jorge‐Moreno et al., 2012; Hasan et al., 2020; Li & Qian, 2020). Using their multidisciplinary knowledge and expertise, higher education institutions create entrepreneurial behavior in cooperation with the government, industry, and society to deal with economic and social challenges (O’Brien & Cooney, 2019).
With regard to the moderating role of socio-economic status in the relationship between economic education and financial literacy, according to the value of the z-statistic (Z = 2.40, p < 0.05, and greater than 1.96), it can be concluded (with a confidence interval of 95%) that the socioeconomic status of the family had a positive and significant moderating role in the relationship between economics education and financial literacy. This finding is in line with those of other studies performed by Cude (2010), Mullins (2007), Potrich et al. (2015), and Tang et al. (2015). Parents' higher education leads to individuals' higher financial literacy (Cude, 2010). Individuals with educated parents and good family economic status have higher financial literacy. These people have more income and better planning for the future. In fact, the socioeconomic status of the students' families, including their parents' education and employment status, impacts their financial literacy and leads to a better memory of the economy and more financial literacy.
6 Conclusion
Financial illiteracy increases the risk of making poor financial decisions and thus has a substantial effect on people, their friends, families, and business partners. Additionally, detrimental to society as a whole, this ignorance may eventually affect the wealth and financial stability of the country. A nation’s ability to accomplish its economic objectives depends on the cooperation of its citizens, and entrepreneurship is one way to promote this cooperation. University students are important economic activists, and raising their financial literacy can help them make better decisions and be more creative in their business ventures. Through the successful completion of economics courses, students can improve their performance and ability to make decisions. In addition to business acumen and employment prospects, entrepreneurship also has an impact on a nation’s ability to prosper economically, reduce poverty, and promote sustainable development. Thus, educational programs should aim to encourage an entrepreneurial culture and modify students’ attitudes toward entrepreneurship. It is recommended that decision-makers take into account the inclusion of economic and financial literacy courses in all disciplines of study when updating higher education curricula. Additionally, they should assess the efficacy and efficiency of these courses. Eventually, achieving financial independence and earning targets may prompt people to think about becoming entrepreneurs.
This study set out to develop a model for determining the variables affecting entrepreneurial and investment decisions. Nonetheless, it is crucial to recognize the model’s limits. Hence, the following recommendations can be helpful to take into account for future research projects:
Making use of a mixed method approach to offer a more thorough comprehension of the variables driving entrepreneurial and investment decisions.
Examining how personality attributes affect judgment and entrepreneurial endeavors, as well as possible distinctions between people pursuing different academic specializations.
Determining the best ways to improve university students’ financial literacy, with an emphasis on possible interventions and instructional initiatives.
Investigating how financial literacy affects family well-being in Iranian homes and those of its neighbors in order to learn more about the wider societal ramifications.
Researching with graduate and undergraduate students to get a wider variety of viewpoints and experiences.
Incorporating multi-source data, such as qualitative and quantitative information, to enrich the depth and breadth of the research findings.
Acknowledgements
We thank the participating students who made valuable contributions to this study.
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Funding information: No funding was received to assist with the preparation of this manuscript.
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Conflict of interest: The authors declare no conflict of interest.
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Ethical approval: ethical approval from the participants has been taken at the time of filling up the questionnaires.
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Informed consent: Informed consent has been obtained at the time of collecting data.
Questionnaire of Entrepreneurial intention
Indicate your level of agreement with the following statements from 1 (total disagreement) to 5 (total agreement) |
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Questionnaire of Risk taking
Indicate your level of agreement with the following statements from 1 (total disagreement) to 5 (total agreement) |
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Questionnaire of Social preferences
Indicate your level of agreement with the following statements from 1 (total disagreement) to 5 (total agreement)
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Questionnaire of Socioeconomic status of family
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Questionnaire of Probabilistic beliefs
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Questionnaire of financial literacy
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References
Afantiti-Lamprianou, T., & Williams, J. (2003). A scale for assessing probabilistic thinking and the representativeness tendency. Research in Mathematics Education, 5(1), 173–196. doi: 10.1080/14794800008520121.Search in Google Scholar
Ali, M., Ali, I., Badghish, S., & Soomro, Y. A. (2021). Determinants of financial empowerment among women in Saudi Arabia. Frontiers in Psychology, 12, 747255. doi: 10.3389/fpsyg.2021.747255.Search in Google Scholar
Al-Mamary, Y. H. S., Abdulrab, M., Alwaheeb, M. A., & Alshammari, N. G. M. (2020). Factors impacting entrepreneurial intentions among university students in Saudi Arabia: Testing an integrated model of TPB and EO. Education+ Training, 62(7/8), 779–803. doi: 10.1108/ET-04-2020-0096.Search in Google Scholar
Almenberg, J., & Dreber, A. (2015). Gender, stock market participation and financial literacy. Economics Letters, 137, 140–142. doi: 10.1016/j.econlet.2015.10.009.Search in Google Scholar
Alshebami, A. S. (2021). The influence of psychological capital on employees’ innovative behavior: Mediating role of employees’ innovative intention and employees’ job satisfaction. Sage Open, 11(3), 21582440211040809. doi: 10.1177/21582440211040.Search in Google Scholar
Alshebami, A. S., & Al Marri, S. H. (2022). The impact of financial literacy on entrepreneurial intention: The mediating role of saving behavior. Frontiers in Psychology, 13, 911605. doi: 10.3389/fpsyg.2022.911605.Search in Google Scholar
Aren, S., & Zengin, A. N. (2016). Influence of financial literacy and risk perception on choice of investment. Procedia-Social and Behavioral Sciences, 235, 656–663. doi: 10.1016/j.sbspro.2016.11.047.Search in Google Scholar
Atkinson, A., & Messy, F.-A. (2012). Measuring financial literacy: Results of the OECD/International Network on Financial Education (INFE) pilot study. doi: 10.1787/5k9csfs90fr4-en.Search in Google Scholar
Banks, J., Carvalho, L. S., & Perez-Arce, F. (2019). Education, decision making, and economic rationality. Review of Economics and Statistics, 101(3), 428–441. doi: 10.1162/rest_a_00785.Search in Google Scholar
Barba-Sánchez, V., & Atienza-Sahuquillo, C. (2018). Entrepreneurial intention among engineering students: The role of entrepreneurship education. European Research on Management and Business Economics, 24(1), 53–61. doi: 10.1016/j.iedeen.2017.04.001.Search in Google Scholar
Bauman, Y., & Rose, E. (2011). Selection or indoctrination: Why do economics students donate less than the rest? Journal of Economic Behavior & Organization, 79(3), 318–327. doi: 10.1016/j.jebo.2011.02.010.Search in Google Scholar
Bayar, Y., Sezgin, H. F., Öztürk, Ö. F., & Şaşmaz, M. Ü. (2020). Financial literacy and financial risk tolerance of individual investors: Multinomial logistic regression approach. Sage Open, 10(3), 2158244020945717.10.1177/2158244020945717Search in Google Scholar
Bayrakdaroğlu, A., Üniversitesi, M. S. K., Kuyu, E., & Üniversitesi, M. S. K. (2019). Analysis of financial risk perceptions on investment decisions of women with different demographic profiles. http://hdl.handle.net/11672/1826.Search in Google Scholar
Borio, C., Kennedy, N., & Prowse, S. D. (1994). Exploring aggregate asset price fluctuations across countries: Measurement, determinants and monetary policy implications. Bank for International Settlements: Monetary and Economic Department Basi.Search in Google Scholar
Cai, L., Murad, M., Ashraf, S. F., & Naz, S. (2021). Impact of dark tetrad personality traits on nascent entrepreneurial behavior: The mediating role of entrepreneurial intention. Frontiers of Business Research in China, 15, 7. doi: 10.1186/s11782-021-00103-y.Search in Google Scholar
Chen, B., Lin, W., & Wang, A. (2021). The causal impact of economics education on decision-making: Evidence from a natural experiment in China. Journal of Economic Behavior & Organization, 188, 1124–1143. doi: 10.1016/j.jebo.2021.06.018.Search in Google Scholar
Chew, T. C., Tang, Y. K., & Buck, T. (2022). The interactive effect of cultural values and government regulations on firms’ entrepreneurial orientation. Journal of Small Business and Enterprise Development, 29(2), 221–240. doi: 10.1108/JSBED-06-2021-0228.Search in Google Scholar
Choi, S., Kariv, S., Müller, W., & Silverman, D. (2014). Who is (more) rational? American Economic Review, 104(6), 1518–1550. doi: 10.1257/aer.104.6.1518.Search in Google Scholar
Cole, S., Sampson, T., & Zia, B. (2011). Prices or knowledge? What drives demand for financial services in emerging markets? The Journal of Finance, 66(6), 1933–1967. doi: 10.1111/j.1540-6261.2011.01696.x.Search in Google Scholar
Cordero, J. M., & Pedraja, F. (2019). The effect of financial education training on the financial literacy of Spanish students in PISA. Applied Economics, 51(16), 1679–1693. doi: 10.1080/00036846.2018.1528336.Search in Google Scholar
Corsini, L., & Giannelli, G. C. (2021). Economics education and financial literacy acquisition: Evidence from a field experiment. Journal of Behavioral and Experimental Finance, 32, 100556. doi: 10.1016/j.jbef.2021.100556.Search in Google Scholar
Coulibaly, S. K., Erbao, C., & Mekongcho, T. M. (2018). Economic globalization, entrepreneurship, and development. Technological Forecasting and Social Change, 127, 271–280. doi: 10.1016/j.techfore.2017.09.028.Search in Google Scholar
Cude, B. J. (2010). Financial literacy 501. Journal of Consumer Affairs, 44(2), 271–275. doi: 10.1111/j.1745-6606.2010.01168.x.Search in Google Scholar
De Jorge‐Moreno, J., Castillo, L. L., & Triguero, M. S. (2012). The effect of business and economics education programs on students' entrepreneurial intention. European Journal of Training and Development, 36(4), 409–425. doi: 10.1108/03090591211220339.Search in Google Scholar
Diekmann, A., Jann, B., Przepiorka, W., & Wehrli, S. (2014). Reputation formation and the evolution of cooperation in anonymous online markets. American Sociological Review, 79(1), 65–85. doi: 10.1177/0003122413512316.Search in Google Scholar
Elster, J. (1989). Social norms and economic theory. Journal of Economic Perspectives, 3(4), 99–117. doi: 10.1257/jep.3.4.99.Search in Google Scholar
Fehr, E., & Gintis, H. (2007). Human motivation and social cooperation: Experimental and analytical foundations. Annual Review of Sociology, 33, 43–64. doi: 10.1146/annurev.soc.33.040406.131812.Search in Google Scholar
Fernandes, D., Lynch Jr, J. G., & Netemeyer, R. G. (2014). Financial literacy, financial education, and downstream financial behaviors. Management Science, 60(8), 1861–1883. doi: 10.1287/mnsc.2013.1849.Search in Google Scholar
Fisher, P. J., & Yao, R. (2017). Gender differences in financial risk tolerance. Journal of Economic Psychology, 61, 191–202. doi: 10.1016/j.joep.2017.03.006.Search in Google Scholar
Ghobadi Alwar, A., Mousavi, S. N., & Shariatnejad, A. (2018). Analysis and evaluation of human resource risks in the higher education system; Case: Lorestan Islamic Azad University. Quarterly Journal of Research and Planning in Higher Education, 24(3), 107–129 (in Persian).Search in Google Scholar
Ghodrat Nama, A., Heydari Nejad, S., & Davoudi, A. (2013). The relationship between socio-economic status and physical activity level of Shahid Chamran University of Ahvaz. Journal of Sports Management, 5(16), 5–20 (in persian). doi: 10.22059/jsm.2013.30410.Search in Google Scholar
Gieure, C., del Mar Benavides-Espinosa, M., & Roig-Dobón, S. (2020). The entrepreneurial process: The link between intentions and behavior. Journal of Business Research, 112, 541–548. doi: 10.1016/j.jbusres.2019.11.088.Search in Google Scholar
Gilboa, I., Postlewaite, A. W., & Schmeidler, D. (2008). Probability and uncertainty in economic modeling. Journal of Economic Perspectives, 22(3), 173–188. doi: 10.1257/jep.22.3.173.Search in Google Scholar
Gilenko, E., & Chernova, A. (2021). Saving behavior and financial literacy of Russian high school students: An application of a copula-based bivariate probit-regression approach. Children and Youth Services Review, 127, 106122. doi: 10.1016/j.childyouth.2021.106122.Search in Google Scholar
Grande, J., Madsen, E. L., & Borch, O. J. (2011). The relationship between resources, entrepreneurial orientation and performance in farm-based ventures. Entrepreneurship and Regional Development, 23(3–4), 89–111. doi: 10.1080/08985620903183710.Search in Google Scholar
Guo, Q., He, C., & Li, D. (2016). Entrepreneurship in China: The role of localisation and urbanisation economies. Urban Studies, 53(12), 2584–2606. doi: 10.1177/0042098015595598.Search in Google Scholar
Gupta, V. K., & Gupta, A. (2015). Relationship between entrepreneurial orientation and firm performance in large organizations over time. Journal of International Entrepreneurship, 13(1), 7–27. doi: 10.1007/s10843-014-0138-0.Search in Google Scholar
Gurerk, O., Irlenbusch, B., & Rockenbach, B. (2006). The competitive advantage of sanctioning institutions. Science, 312(5770), 108–111. doi: 10.1126/science.1123633.Search in Google Scholar
Hasan, M., Musa, C. I., Arismunandar, A., Tahir, T., Azis, M., Rijal, S., … Ahmad, M. (2020). How does Entrepreneurial Literacy and Financial Literacy Influence Entrepreneurial Intention in Perspective of Economic Education? Talent Development & Excellence, 12(1), 5569–5575. http://eprints.unm.ac.id/id/eprint/30147.Search in Google Scholar
Henrich, J., Boyd, R., Bowles, S., Camerer, C., Fehr, E., Gintis, H., … Ensminger, J. (2007). “Economic Man” in cross-cultural perspective: Behavioral experiments in 15 small-scale societies. International Library of Critical Writings in Economics, 204, 343. doi: 10.1017/s0140525x05000142.Search in Google Scholar
Hilgert, M. A., Hogarth, J. M., & Beverly, S. G. (2003). Household financial management: The connection between knowledge and behavior. Federal Reserve Bulletin, 89, 309.Search in Google Scholar
Hung, A., Parker, A. M., & Yoong, J. (2009). Defining and measuring financial literacy. https://ssrn.com/abstract=1498674.10.2139/ssrn.1498674Search in Google Scholar
Kaiser, T., & Menkhoff, L. (2017). Does financial education impact financial literacy and financial behavior, and if so, when? The World Bank Economic Review, 31(3), 611–630. doi: 10.1093/wber/lhx018.Search in Google Scholar
Kannadhasan, M. (2015). Retail investors' financial risk tolerance and their risk-taking behaviour: The role of demographics as differentiating and classifying factors. IIMB Management Review, 27(3), 175–184. doi: 10.1016/j.iimb.2015.06.004.Search in Google Scholar
Kim, H. B., Choi, S., Kim, B., & Pop-Eleches, C. (2018). The role of education interventions in improving economic rationality. Science, 362(6410), 83–86. doi: 10.1126/science.aar6987.Search in Google Scholar
Klapper, L. F., Lusardi, A., & Van Oudheusden, P. (2015). Financial literacy around the world: Insights from the Standard & Poor's ratings services global financial literacy survey. http://gflec.org/wpcontent/uploads/2015/11/Finlit_paper_16_F2_singles.pdf.Search in Google Scholar
Knight, F. H., (1921). Risk, uncertainty and profit. (Vol. 31). Houghton Mifflin.Search in Google Scholar
Kumar, M. D., Kambuaya, M., Jamil, F., & Muneer, S. (2015). Determinants of the risk tolerance of individual investors. International Journal of Economics and Financial Issues, 5(1), 373–378.Search in Google Scholar
Kumar, P., Pillai, R., Kumar, N., & Tabash, M. I. (2023). The interplay of skills, digital financial literacy, capability, and autonomy in financial decision making and well-being. Borsa Istanbul Review, 23(1), 169–183. doi: 10.1016/j.bir.2022.09.012.Search in Google Scholar
Li, C., Ashraf, S. F., Shahzad, F., Bashir, I., Murad, M., Syed, N., & Riaz, M. (2020). Influence of knowledge management practices on entrepreneurial and organizational performance: A mediated-moderation model. Frontiers in Psychology, 11, 577106. doi: 10.3389/fpsyg.2020.577106.Search in Google Scholar
Li, R., & Qian, Y. (2020). Entrepreneurial participation and performance: The role of financial literacy. Management Decision, 58(3), 583–599. doi: 10.1108/MD-11-2018-1283.Search in Google Scholar
Liñán, F., Rodríguez-Cohard, J. C., & Rueda-Cantuche, J. M. (2011). Factors affecting entrepreneurial intention levels: A role for education. International Entrepreneurship and Management Journal, 7, 195–218. doi: 10.1007/s11365-010-0154-z.Search in Google Scholar
Luhrmann, M., Serra-Garcia, M., & Winter, J. (2018). The impact of financial education on adolescents' intertemporal choices. American Economic Journal: Economic Policy, 10(3), 309–332. doi: 10.1257/pol.20170012.Search in Google Scholar
Lusardi, A., & Mitchell, O. S. (2011). Financial literacy and planning: Implications for retirement wellbeing. Oxford: Oxford University Press. doi: 10.3386/w17078.Search in Google Scholar
Lusardi, A., & Mitchell, O. S. (2023). The importance of financial literacy. The Journal of Economic Perspectives, 37(4), 137–154. https://www.jstor.org/stable/27258129.10.1257/jep.37.4.137Search in Google Scholar
Mahdzan, N. S., Mohd-Any, A. A., & Chan, M.-K. (2017). The influence of financial literacy, risk aversion and expectations on retirement planning and portfolio allocation in Malaysia. Gadjah Mada International Journal of Business, 19(3), 267–288. https://search.informit.org/doi/abs/10.3316/INFORMIT.317740816901547.10.22146/gamaijb.24441Search in Google Scholar
Mayoral, R. M., & Vallelado, E. (2012). The interaction of environmental factors and individual traits on investors’ perception. The Spanish Review of Financial Economics, 10(2), 62–73. doi: 10.1016/j.srfe.2012.10.001.Search in Google Scholar
Meier, S., & Sprenger, C. D. (2013). Discounting financial literacy: Time preferences and participation in financial education programs. Journal of Economic Behavior & Organization, 95, 159–174. doi: 10.1016/j.jebo.2012.02.024.Search in Google Scholar
Mensah, I. K., Zeng, G., Luo, C., Xiao, Z., & Lu, M. (2021). Exploring the predictors of Chinese college students’ entrepreneurial intention. Sage Open, 11(3), 21582440211029941. doi: 10.1177/21582440211029941.Search in Google Scholar
Miller, M., Godfrey, N., Levesque, B., & Stark, E. (2009). The case for financial literacy in developing countries: Promoting access to finance by empowering consumers. World Bank, DFID, OECD, and CGAP joint note, Washington, DC: World Bank.Search in Google Scholar
Mishra, M., & Mishra, S. (2016). Financial risk tolerance among Indian investors: A multiple discriminant modeling of determinants. Strategic Change, 25(5), 485–500. doi: 10.1002/jsc.2075.Search in Google Scholar
Morewedge, C. K., Yoon, H., Scopelliti, I., Symborski, C. W., Korris, J. H., & Kassam, K. S. (2015). Debiasing decisions: Improved decision making with a single training intervention. Policy Insights from the Behavioral and Brain Sciences, 2(1), 129–140. doi: 10.1177/2372732215600886.Search in Google Scholar
Mudzingiri, C. (2019). The impact of financial literacy on risk and time preferences and financial behavioural intentions. (Doctoral dissertation). University of the Free State. http://hdl.handle.net/11660/10268.Search in Google Scholar
Mullins, P. O. C. (2007). Financial knowledge and communication of teenagers and their parent or guardian. Texas Woman's University.Search in Google Scholar
Murphy, R. O., & Ackermann, K. A. (2014). Social value orientation: Theoretical and measurement issues in the study of social preferences. Personality and Social Psychology Review, 18(1), 13–41. doi: 10.1177/1088868313501745.Search in Google Scholar
Mustafa, W. M. W., Islam, M. A., Asyraf, M., Hassan, M. S., Royhan, P., & Rahman, S. (2023). The effects of financial attitudes, financial literacy and health literacy on sustainable financial retirement planning: The moderating role of the financial advisor. Sustainability, 15(3), 2677. doi: 10.3390/su15032677.Search in Google Scholar
Muzakky, F. A., & Soekarno, S. (2021). How financial literacy affect risk preference: An evidence from Bandung, Indonesia. Jurnal Riset Akuntansi Dan Keuangan, 9(1), 1–12. doi: 10.17509/jrak.v9i1.29202.Search in Google Scholar
Nasip, S., Amirul, S. R., Sondoh Jr, S. L., & Tanakinjal, G. H. (2017). Psychological characteristics and entrepreneurial intention: A study among university students in North Borneo, Malaysia. Education+ Training, 59(7/8), 825–840. doi: 10.1108/ET-10-2015-0092.Search in Google Scholar
Nayebmohseni, S., Khalifehsultani, S. A., & Hejazi, R. (2022). Developing a behavioral model of individual investors’ decision-making in the Iranian Capital Market. Financial Research Journal, 23(4), 625–652. doi: 10.22059/frj.2021.322133.1007171.Search in Google Scholar
O’Brien, E., & Cooney, T. M. (2019). How Can Higher Education Institutions (HEIs) engender enterprising behavior from within under-represented communities? in Management and Administration of Higher Education Institutions at Times of Change. (pp. 13–29). Emerald Publishing Limited. doi: 10.1108/978-1-78973-627-420191002.Search in Google Scholar
OECD. (2014). PISA 2012 results: Students and money (Volume VI): Financial literacy skills for the 21st century. PISA. OECD Publishing. https://hdl.handle.net/20.500.12799/3104.Search in Google Scholar
Ohanu, I. B., & Ogbuanya, T. C. (2018). Determinant factors of entrepreneurship intentions of electronic technology education students in Nigerian universities. Journal of Global Entrepreneurship Research, 8, 1–17. doi: 10.1186/s40497-018-0127-1.Search in Google Scholar
O'Neill, B., Sorhaindo, B., Xiao, J. J., & Garman, E. T. (2005). Financially distressed consumers: Their financial practices, financial well-being, and health. Journal of Financial Counseling and Planning, 16(1), 73–87. https://ssrn.com/abstract=2255121.Search in Google Scholar
Oseifuah, E. K. (2010). Financial literacy and youth entrepreneurship in South Africa. African Journal of Economic and Management Studies, 1(2), 164–182. doi: 10.1108/20400701011073473.Search in Google Scholar
Philippas, N. D., & Avdoulas, C. (2021). Financial literacy and financial well-being among generation-Z university students: Evidence from Greece. The European Journal of Finance, 26(4–5), 360–381.10.1080/1351847X.2019.1701512Search in Google Scholar
Pinjisakikool, T. (2018). The influence of personality traits on households’ financial risk tolerance and financial behaviour. Journal of Interdisciplinary Economics, 30(1), 32–54. doi: 10.1177/0260107917731034.Search in Google Scholar
Potrich, A. C. G., Vieira, K. M., & Kirch, G. (2015). Determinants of financial literacy: Analysis of the influence of socioeconomic and demographic variables. Revista Contabilidade & Finanças, 26, 362–377. doi: 10.1590/1808-057x201501040.Search in Google Scholar
Qader, A. A., Zhang, J., Ashraf, S. F., Syed, N., Omhand, K., & Nazir, M. (2022). Capabilities and opportunities: Linking knowledge management practices of textile-based SMEs on sustainable entrepreneurship and organizational performance in China. Sustainability, 14(4), 2219. doi: 10.3390/su14042219.Search in Google Scholar
Rabin, M. (2013). Risk aversion and expected-utility theory: A calibration theorem. Econometrica, 68(5), 1281–1292).10.1111/1468-0262.00158Search in Google Scholar
Ramadani, V., Rahman, M. M., Salamzadeh, A., Rahaman, M. S., & Abazi-Alili, H. (2022). Entrepreneurship education and graduates' entrepreneurial intentions: Does gender matter? A multi-group analysis using AMOS. Technological Forecasting and Social Change, 180, 121693. doi: 10.1016/j.techfore.2022.121693.Search in Google Scholar
Sachse, K., Jungermann, H., & Belting, J. M. (2012). Investment risk–The perspective of individual investors. Journal of Economic Psychology, 33(3), 437–447. doi: 10.1016/j.joep.2011.12.006.Search in Google Scholar
Sadzik, T. (2021). Knowledge, awareness and probabilistic beliefs. The BE Journal of Theoretical Economics, 21(2), 489–524. doi: 10.1515/bejte-2019-0014.Search in Google Scholar
Salamzadeh, Y., Sangosanya, T. A., Salamzadeh, A., & Braga, V. (2022). Entrepreneurial universities and social capital: The moderating role of entrepreneurial intention in the Malaysian context. The International Journal of Management Education, 20(1), 100609. doi: 10.1016/j.ijme.2022.100609.Search in Google Scholar
Segal, G., Borgia, D., & Schoenfeld, J. (2005). The motivation to become an entrepreneur. International Journal of Entrepreneurial Behavior & Research, 11(1), 42–57. doi: 10.1108/13552550510580834.Search in Google Scholar
Sharma, D. R., Chalise, M., & Dangol, J. (2017). Risk tolerance behaviour of individual Nepalese investors. Global Management Review, 11(2), 63–70.Search in Google Scholar
Shen, C.-H., Lin, S.-J., Tang, D.-P., & Hsiao, Y.-J. (2016). The relationship between financial disputes and financial literacy. Pacific-Basin Finance Journal, 36, 46–65. doi: 10.1016/j.pacfin.2015.11.002.Search in Google Scholar
Shokrizadeh, H. R., & Mazaheri, M. (2021). Investigating the effect of financial literacy and financial knowledge on the decision-making of stock exchange investors. The First International Conference on Management and Industry (in Persian). https://civilica.com/doc/1400541.Search in Google Scholar
Slavinski, T., Todorović, M., Vukmirović, V., & Montenegro, A. M. (2020). Women, entrepreneurship and education: Descriptive bibliometric analysis based on scopus database. JWEE, (3–4), 181–201. doi: 10.28934/jwee20.34.pp181-201.Search in Google Scholar
Sohn, S.-H., Joo, S.-H., Grable, J. E., Lee, S., & Kim, M. (2012). Adolescents’ financial literacy: The role of financial socialization agents, financial experiences, and money attitudes in shaping financial literacy among South Korean youth. Journal of Adolescence, 35(4), 969–980. doi: 10.1016/j.adolescence.2012.02.002.Search in Google Scholar
Stella, G. P., Filotto, U., Cervellati, E. M., & Graziano, E. A. (2020). The effects of financial education on financial literacy in Italy. International Business Research, 13(4), 44.10.5539/ibr.v13n4p44Search in Google Scholar
Tang, N., Baker, A., & Peter, P. C. (2015). Investigating the disconnect between financial knowledge and behavior: The role of parental influence and psychological characteristics in responsible financial behaviors among young adults. Journal of Consumer Affairs, 49(2), 376–406. doi: 10.1111/joca.12069.Search in Google Scholar
Trazodar, M., Ghasemi, M., & Mohseni, A. (2023). Presenting a model to identify the impact of behavioral trends and financial literacy and their role on investors' decision-making (based on grounded theory approach). Journal of Accounting Knowledge, 14(4), 159–179. (in persian). doi: 10.22103/JAK.2023.20401.3795.Search in Google Scholar
Tleuberdinova, A., Shayekina, Z., Salauatova, D., & Pratt, S. (2021). Macro-economic factors influencing tourism entrepreneurship: The case of Kazakhstan. The Journal of Entrepreneurship, 30(1), 179–209. doi: 10.1177/0971355720981431.Search in Google Scholar
Van Rooij, M., Lusardi, A., & Alessie, R. (2011). Financial literacy and stock market participation. Journal of Financial Economics, 101(2), 449–472. doi: 10.1016/j.jfineco.2011.03.006.Search in Google Scholar
Volpp, K. G., Troxel, A. B., Pauly, M. V., Glick, H. A., Puig, A., Asch, D. A., … DeGuzman, J. (2009). A randomized, controlled trial of financial incentives for smoking cessation. New England Journal of Medicine, 360, 699–709. doi: 10.1056/NEJMsa0806819.Search in Google Scholar
Walstad, W., Urban, C., J. Asarta, C., Breitbach, E., Bosshardt, W., Heath, J., … Xiao, J. J. (2017). Perspectives on evaluation in financial education: Landscape, issues, and studies. The Journal of Economic Education, 48(2), 93–112. doi: 10.1080/00220485.2017.1285738.Search in Google Scholar
Yong, H.-N. A., & Tan, K.-L. (2017). The influence of financial literacy towards risk tolerance. International Journal of Business and Society, 18(3), 469–484. doi: 10.33736/ijbs.3139.2017.Search in Google Scholar
Zhang, Y. (2022). Subjective beliefs and ambiguity aversion. Economics Letters, 212, 110290. doi: 10.1016/j.econlet.2022.110290.Search in Google Scholar
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