The factors influencing university students’ participation in social welfare activities
Main Article Content
Social public welfare practice is an important way to realize the goal of practical education in colleges and universities. Through a survey of 439 university students in Beijing, the results in this study showed that university students’ intention to participate in social public welfare practice was influenced by perceived value, behavioral attitude, and perceived behavioral control, and was not affected by subjective norms. Behavioral attitude and perceived behavioral control played a mediating role between perceived value and intention to participate. These findings extend the research perspective to the field of social welfare and have the potential to promote the development of social welfare practice activities for university students.
Article Highlights
- Behavioral attitudes and perceived behavioral control were found to affect the willingness of college students to participate in social public welfare practice.
- Subjective norms did not affect the willingness of college students to participate in social welfare practice.
- Perceived value had both direct and indirect impacts on college students’ willingness to participate in social welfare practice.
Many colleges and universities worldwide have incorporated participation in social welfare practice into student credit management, and social welfare activities have become an important form of social practice for students. A certain social value is highlighted in cultivating this practice and it is an effective way to spread core socialist values (Z. Liu, 2018). In China, the activities range from volunteer teaching in remote mountainous areas to public welfare activities at social welfare institutions. However, university students’ social welfare practice comes with problems. For example, some students participate only to receive credits, and negative news about social welfare in society may affect their willingness to participate to some extent. Therefore, it is necessary to strengthen theoretical understanding of university students’ willingness to participate in social welfare practice to offer better practical guidance for these students in their engagement in social welfare activities.
Academic research has been conducted to examine social welfare practice involving new media users (Q. Yang, 2020), enterprise employees (C. Liu & Chi, 2019), townsfolk (F. Liu et al., 2015), and youth groups (Tan, 2019). With the development of internet technology, new fields of public welfare research have emerged, and scholars have conducted studies on public entrepreneurship (Lan, 2021), volunteering in the tourism industry (Zhou et al., 2020), charity games initiated by public welfare organizations (Y. Yang, 2021), and online public welfare (H. Li et al., 2019). In studies on university students’ willingness to participate in social welfare practice, researchers have relied on different theories, perspectives, and methods. Some have followed the theory of planned behavior (J. Li et al., 2019) or grounded theory (Ng et al., 2019), while others have examined students’ internal needs and external pressure (Su & Wu, 2019), or conducted research from the perspective of social support (M. Zhang et al., 2021), and the sense of social welfare as manifested in the emotion of being willing to participate in public interest activities, such as conserving resources and caring for public property and the environment (Zheng, 2021).
There is an abundance of existing research on social welfare, but studies with university student participants are still rare. In addition, the focus of research on university students’ public welfare behavior has been mainly on qualitative and theoretical analysis, and there are insufficient results from quantitative research. From the perspective of cognition, in this study we discussed the mechanism of the formation of university students’ willingness to participate in social public welfare practice, which has theoretical significance and practical value for improving the effect of practical education and enhancing the sustainable development of university students’ social public welfare activities.
University Students’ Willingness to Participate in Social Welfare Practice
Theoretical Model
The theory of planned behavior and the perceived value model show theoretical homology, and both are an expansion and extension of rational behavior theory. In this research we integrated these two theories to gain stronger explanatory power. The integrated mechanism model of university students’ willingness to participate in social welfare practice is represented in Figure 1.
Figure 1. Formation Mechanism Model of University Students’ Willingness to Participate in Social Welfare Practice
Method
Participants
Undergraduate students at universities in Beijing, China, took part in the study. There are 17 undergraduate universities in the Beijing region, mainly divided into four types: comprehensive undergraduate universities under government supervision, science and engineering universities under government supervision, specialized undergraduate universities under government supervision, and private undergraduate universities. Researchers have compiled and calculated data obtained from the official websites of various schools in Beijing and found that the number of undergraduate students in 2022 was 289,918. We selected one university from each of the four types described above for sampling. The planned sample size was 500 students. The ratio of men to women was basically balanced, as was the balance across grades, although there were 172 freshmen, which was slightly more than other grades, accounting for 34.4% of the total.
Procedure
We obtained informed consent from the participants and received approved from the relevant university ethics committee before beginning the study. Participants were asked to respond to all items in the five dimensions based on their true thoughts. We conducted screening of the completed surveys for incomplete responses, short time for completion, and a high rate of identical answers in the survey. Finally, we collected 439 valid survey forms for analysis.
Measures
We used scales that had previously been developed and shown to have good reliability and validity with a Chinese sample. A 5-point Likert scale was used to rate the items, ranging from 1 = strongly disagree to 5 = strongly agree. The survey had five dimensions, each with three items (see Table 1).
Table 1. Scale Design
Data Analysis
In the analysis we used structural equation modeling (SEM). First, we performed a confirmatory factor analysis (CFA) to assess the measurement model, and then SEM analysis was performed with bootstrapping estimation to measure the fit and path coefficients of the research framework. We also conducted a validity and reliability analysis and hypothesis testing of the sample data.
Results
Reliability and Validity Test
Reliability refers to the degree of consistency of the results obtained with one method; it is evaluated using Cronbach’s alpha coefficient. In general, higher reliability values indicate higher quality of the design of survey items. The Cronbach’s alphas were .94, .95, .94, .98, and .90, for subjective norms, behavioral attitude, perceived behavioral control, perceived value, and participation intention dimensions, respectively, which are all higher than the threshold of .70, suggesting that the internal consistency of each dimension and the reliability of the survey was good (Ajzen, 2020).
Validity refers to the accuracy of a scale, focusing on whether the scale can truly detect the target to be measured. All items of the scale used in this study were adopted from existing scales and were compiled in combination with expert interviews, guaranteeing good content validity.
According to Fornell and Larcker (1981), average variance extracted (AVE) values greater than .50 and composite reliability (CR) values greater than .70 indicate a good level of validity of the sample data. After model correction, in our study all pathways had standardized factor loading coefficients above .60, squared multiple correlation values above .30, AVE values above .50, and CR values above .70. This shows that the modified model had ideal intrinsic quality, good stability, and good reliability and convergent validity. The results are shown in Table 2.
When the square root of AVE is greater than the correlation coefficient between one construct and the remaining constructs, there is good discriminant validity between constructs (Fornell & Larcker, 1981: Nunnally, 1978). In this study the square roots of AVE in each construct were greater than the correlation coefficients with the other constructs, indicating good discriminant validity between constructs. As shown in Table 3, the study model had good discriminant validity.
Table 2. Reliability and Validity Test of the Scale
Note. SMC = squared multiple correlation; CR = composite reliability; AVE = average variance extracted.
Table 3. Differential Validity Test of the Latent Variables
Note. Cronbach’s alpha values are shown in parentheses on the diagonal.
Structural Equation Modeling
The research reviewed in this study indicated that SEM is an effective method for studying behavioral intention. SEM explains the causal relationship and degree of influence between endogenous and exogenous variables. The structural model is presented below.
Model Fit Test
After the reliability and validity tests, we conducted maximum likelihood estimation with Amos software. The results shown in Table 4 demonstrate that the overall fit of the model was good, so further analysis could be performed.
Table 4. Test of Model Fit
Note. SRMR = standardized root mean square residual; RMSEA = root mean square error of approximation; IFI = incremental fit index; CFI = comparative fit index; TLI = Tucker–Lewis index; GFI = goodness-of-fit index; PGFI = parsimonious goodness-of-fit index; Acceptable = fit is within the reference value range. The acceptable threshold for the chi-squared test (χ2) was set at < 5.0, following Wheaton et al. (1977).
Model Hypothesis Testing
The path relationship of each latent variable was tested based on the previous model of the formation mechanism of university students’ willingness to participate in social welfare practice. At the same time, the model we constructed in this study combined the theory of planned behavior with the perceived value model to construct a model to better predict and explain university students’ intention to participate in social welfare practice and its formation process. The results are shown in Table 5.
Influence of Subjective Norms on the Willingness to Participate
The result for the test of the effect of subjective norms on university students’ willingness to participate in social public welfare practice was not significant. Thus, Hypothesis 1 was not supported. This result shows that the attitude toward social welfare of people around the university students did not affect the willingness of these students to participate in social welfare practice, and that the students decided by themselves whether to participate.
Influence of Behavioral Attitude on Willingness to Participate
There was a significant positive correlation of behavioral attitude with university students’ willingness to participate in social welfare practice. Thus, Hypothesis 2 was supported.
Influence of Perceived Behavioral Control on Willingness to Participate
There was a significant positive correlation of perceived behavioral control with university students’ willingness to participate in social welfare practice. Therefore, Hypothesis 3 was supported. The results indicate that the level of university students’ cognition of their ability to participate in social welfare had an impact on their willingness to participate. University students’ level of cognition of factors such as ability and time availability to engage in social welfare practice constrained their willingness to participate in these activities.
Influence of Perceived Value on Willingness to Participate, Behavioral Attitudes, Subjective Norms, and Perceived Behavioral Control
There was a significant positive correlation between perceived value and university students’ willingness to participate in social welfare practice. Thus, Hypothesis 4 was supported. The results indicate that social welfare activities that gave university students a sense of gain and value had a positive impact on their willingness to participate in social welfare practice. University students paid greater attention to improving their abilities and increasing their experience than to making like-minded friends when taking part in social welfare activities. In addition, there were significant positive correlations between university students’ perceived value and their attitude, subjective norms, and perceived behavior control in relation to social welfare activities. Thus, Hypotheses 5, 6, and 7 were supported. Among these, perceived value had the greatest influence on students’ behavioral attitude. These results indicate that the greater the benefits social welfare practice can bring for the students, the higher is their expectation of the value of participation in social welfare practice, the stronger is their sense of identity with social welfare, and, thus, the more positive is their attitude toward it. Moreover, perceived value had a positive reinforcing effect on subjective norms and perceived behavioral control.
Table 5. Results of the Model Hypothesis Testing
Mediation Effects Test
We used bootstrapping analysis with 5,000 repeated samples and 95% confidence intervals (CIs) to test the mediating role of behavioral attitude and perceived behavioral control in the relationship between perceived value and willingness to participate. A mediation effect is significant if the CI does not include zero. From Table 6, it can be seen that the effect of subjective norms as a mediator between perceived value and willingness to participate was nonsignificant; thus, Hypothesis 9 was not supported. However, behavioral attitude and perceived behavioral control both played a significant mediating role between perceived value and willingness to participate, supporting Hypotheses 8 and 10. In comparison, behavioral attitude had a more significant mediating effect than did perceived behavioral control.
Table 6. Results of Mediation Effects Testing
Note. PV = perceived value; BA = behavioral attitude; PI = participation intention; SN = subjective norms; PBC = perceived behavioral control; CI = confidence interval; LL = lower limit; UL = upper limit.
Discussion
Theoretical Implications
Our results show that behavioral attitudes and perceived behavioral control are associated with university students’ willingness to participate in social welfare practice, whereas subjective norms are not. The finding that subjective norms do not influence willingness to participate in social welfare activities contrasts with the conclusions of relevant research conducted by other scholars (M. Zhang et al., 2021). The reason behind the lack of influence of subjective norms may be that social public welfare practice is not yet universal throughout China, and university students living on university campuses feel either no or little pressure and expectations from family, friends, and other important people around them to participate in social welfare activities. As a result, they lack sufficient pressure and motivation to increase their willingness to participate in these activities.
Perceived value influences university students’ willingness to participate in social welfare practice in both direct and indirect ways. Most of the existing research (M. Li & Chen, 2020; Su & Wu, 2019) has been focused on the direct impact via the path of perceived value and participation intention. In this study we empirically analyzed the indirect impact via the paths of perceived value, behavioral attitude, participation intention, and of perceived value, perceived behavioral control, and participation intention. We found that behavioral attitudes play a more important mediating role between perceived value and willingness to participate than do either participation intention or perceived behavioral control, indicating that university students’ understanding of and identification with social welfare practices is the most influential of these factors on their willingness to participate in social welfare activities.
We found that perceived value had a significant positive impact on subjective norms, perceived behavioral control, and, most prominently, behavioral attitudes. Previous researchers concentrated on the impact of perceived value on behavioral attitudes and subjective norms, and there have been few studies on the impact of perceived value on perceived behavioral control (B. Liu et al., 2021). In our study we have shown through empirical research that perceived value has a significant positive impact on perceived behavioral control. That is, we have shown that the greater the benefits and the higher the value that university students expect from social public welfare practice, the more often they stimulate their own potential to participate in these activities.
Practical Implications
In cultivating the willingness of university students to participate in social welfare practices, staff at universities should pay greater attention to the impact of perceived value and behavioral attitudes. They should also carry out targeted public welfare activities based on college students' public welfare experiences, as well as their behavior and attitude toward public welfare activities, to strengthen these two aspects.
Limitations and Future Research Directions
From the perspective of the survey sample, our focus in this study was on undergraduate students. Further verification is needed to determine if the research conclusions are applicable to other user groups. In the future, the survey sample range could be expanded to improve the robustness of the research conclusions based on our model. In addition, the impact of other factors, such as public role models and public education, on university students’ willingness to participate in social welfare could be explored in future work.
Figure 1. Formation Mechanism Model of University Students’ Willingness to Participate in Social Welfare Practice
Table 1. Scale Design
Table 2. Reliability and Validity Test of the Scale
Note. SMC = squared multiple correlation; CR = composite reliability; AVE = average variance extracted.
Table 3. Differential Validity Test of the Latent Variables
Note. Cronbach’s alpha values are shown in parentheses on the diagonal.
Table 4. Test of Model Fit
Note. SRMR = standardized root mean square residual; RMSEA = root mean square error of approximation; IFI = incremental fit index; CFI = comparative fit index; TLI = Tucker–Lewis index; GFI = goodness-of-fit index; PGFI = parsimonious goodness-of-fit index; Acceptable = fit is within the reference value range. The acceptable threshold for the chi-squared test (χ2) was set at < 5.0, following Wheaton et al. (1977).
Table 5. Results of the Model Hypothesis Testing
Table 6. Results of Mediation Effects Testing
Note. PV = perceived value; BA = behavioral attitude; PI = participation intention; SN = subjective norms; PBC = perceived behavioral control; CI = confidence interval; LL = lower limit; UL = upper limit.
Qi Chen, School of Marxism, Beijing Jiaotong University, No. 18, Jiaoda East Road, Haidian District, Beijing, People’s Republic of China. Email: [email protected]