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The Chinese General Social Survey (CGSS2017) was used to test the above hypotheses. CGSS 2017 was conducted by Renmin University of China to explore basic demographic information, cognition and behavioural patterns of Chinese residents, adopting multi-stage stratified random sampling and covering 31 local administrative units in mainland China. The data was released in October 2020. The total number of samples for CGSS2017 was 12,582, including 783 variables. Grounding on research aims, the number of valid samples included in the analysis was 12035 after deleting missing values and extreme outliers.
Measures
Subjective well-being
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Subjective well-being can be measured by an overall variable or latent variable[27]. The study measured subjective well-being with one item 'Generally how happy would you think your life is?' rated on a 5-point scale ranging from 1 (strongly unhappy) to 5 (strongly happy).
Digital reading
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Digital reading was measured by asking how many ebooks participants read in the last year. The number of ebooks was increased by 1 and was taken as a natural logarithm to avoid statistical interference for extreme values.
Paper reading
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Paper reading was measured by subtracting the number of ebooks from the total books an individual read.
Loneliness
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Loneliness was measured using three items. Participants were asked to indicate the frequency of the following three statements: (1) How often do you feel you have lacked a companion in the past 1 month? (2) How often have you experienced isolation from others in the past 1 month? (3) How often have you felt left out in the past 1 month? The 5-point scales were anchored by 1 (never) to 5 (very often). Exploratory factor analysis showed good reliability and validity of these items (Cronbach's α = 0.876).
Perceived fairness
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Perceived fairness was measured using one item. Respondents were required to indicate the degree of fairness in China they felt through a 5-point scale. Higher scores indicate greater perceived fairness.
Control variables
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Control variables concluded demographic variables and other factors that prove to influence subjective well-being, including age, gender, ethnic minorities, spouse, urban/rural, income, education level, member of the party, health conditions, interpersonal stress (Cronbach's α = 0.749) and medical insurance. Table 1 shows the specific measurements.
Table 1. Main measured variables definition.
Variable Variable definition Subjective well-being Very unhappy = 1; Unhappy = 2; Cannot say happy or unhappy = 3; Happy = 4; Very happy = 5 Paper reading The logarithm of the number of printed books read in the past year. Digital reading The logarithm of the number of digital books read in the past year. Loneliness Never = 1; Seldom = 2; Sometimes = 3; Often = 4; Very often = 5 Perceived fairness Completely unfair = 1; Unfair = 2; Cannot say fair or unfair = 3; Fair = 4; Completely fair = 5 Age The actual age of respondents in 2017 Gender Male = 1; Female = 2 Ethnic minorities Han = 1; Ethnic minorities = 0 Spouse Yes = 1; No = 0 Urban/rural Urban = 1; Rural = 2 Income The logarithm of the total income in 2016 Educational level Primary School or below = 1; Middle school = 2; High school = 3; Undergraduate = 4; Graduate = 5 Member of Communist Party of China (CPC) Yes = 1; No = 0 Health condition Very unhealthy = 1; Unhealthy = 2; Cannot say healthy or unhealthy = 3; Healthy = 4; Very healthy = 5 Interpersonal stress Never = 1; Seldom = 2; Sometimes = 3; Often = 4; Very often = 5 Medical insurance Yes = 1; No = 0 Data analysis
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The study firstly carried out an exploratory factor analysis (EFA) to extract two factors, loneliness and interpersonal stress. Then we conducted a four-step hierarchical multiple linear regression to answer RQ1, estimating the effects of reading mediums on subjective well-being and assessing the role of loneliness and perceived fairness between reading and subjective well-being preliminarily. Finally, the classical stepwise regression method was used to estimate the mediation effect model and examine 4 hypotheses with nonparametric bootstrap.
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Before testing the research question and hypotheses, the study carried out an exploratory factor analysis (EFA) to extract the latent variables: loneliness and interpersonal stress (Table 2). Firstly, Barlett's test of the first three items about loneliness (χ2 = 7,378.726; df = 3; p < 0.001) and the last three items about interpersonal stress (χ2 = 3,137.834; df = 3; p < 0.001) indicated that two null hypotheses are acceptable and the factor analysis is suitable to perform. The KMO values were representatively 0.703 (p = 0.000) and 0.659 (p = 0.000), confirming that variables have a high correlation and the factor analysis is adequate. Then orthogonal rotation with maximum variance method was adopted to extract principal components with eigenvalues greater than 1, the cumulative explained variance of loneliness was 80.873%, and the cumulative explained variance of interpersonal stress was 66.998%. Besides, normalized Cronbach's α values were 0.876 and 0.749. The factor load of items for loneliness were between 0.708−0.866, and the factor load of items for interpersonal stress were between 0.488−0.739, which were all greater than 0.5, indicating that the items had good validity. Therefore, two latent variables, loneliness and interpersonal stress, were extracted in this study through exploratory factor analysis.
Table 2. Results of EFA.
Items Loneliness Interpersonal stress How often do you feel you lack a companion in the past month? 0.708 How often do you feel isolated from others in the past month? 0.852 How often have you feel left out in the past month? 0.866 Is there any pressure from your family? 0.723 Do you feel that your family members, relatives and close friends always require too much from you? 0.739 Have important persons (e.g. your spouse, family members or close friends) felt angry or disappointed with you in the past 4 weeks? 0.548 Cumulative % 80.873 66.998 Descriptive statistics of measured variables
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This study presented basic demographic information of respondents in Table 3. In general, 47.20% of participants were male, and 52.80% were female. The average age of respondents was 51.128 years old. Of the respondents, 34.90% had an educational degree from primary school or below; 28.10% of the respondents finished middle school; 17.50% of the respondents had a degree from high school; 18.00% of respondents graduated from college; only 1.40% of the respondents had a graduate degree. Nine hundred respondents belonged to ethnic minorities, accounting for 7.48%, and most of the respondents (92.50%) belonged to China's main nationality. Most of the respondents (n = 9,355) had spouses, accounting for 77.70%. Registered urban residants were 7,625 of respondents, accounting for 63.40%, and rural residents only accounted for 36.60%. Almost all respondents had medical insurance (n = 11,211), at 93.20%. Finally, only 11.20% of respondents were Communist Party of China (CPC) members.
Table 3. Descriptive statistics of measured variables (n = 12,035).
Measured variables Mean SD Min Max Subjective well-being 3.86 0.853 1 5 Paper reading 0.218 0.413 0 2.7 Digital reading 0.16 0.369 0 3 Loneliness 1.774 0.85 1 8 Perceived fairness 3.1 1.065 1 5 Age 51.128 16.723 18 103 Income 3.624 1.67 0 7 Health condition 3.456 1.102 1 5 Interpersonal stress 1.634 0.753 1 8 Measured variables N % Ethnic minorities China's main nationality 11,135 92.50% Ethnic minorities 900 7.48% Educational level Primary school or below 4,197 34.90% Middle school 3,380 28.10% High school 2,111 17.50% Undergraduate 2,166 18.00% Graduate 165 1.40% Member of China Communist Party (CPC) Yes 1,352 11.20% No 10,675 88.70% Medical insurance Yes 11,211 93.20% No 824 6.80% Spouse Yes 9,355 77.70% No 2,680 22.30% Gender Male 5,679 47.20% Female 6,356 52.80% Urban/rural Urban 7,625 63.40% Rural 4,410 36.60% Besides, the mean of respondents' subjective well-being was 3.860 (SD = 0.853), above the median, indicating that respondents generally had a pretty high degree of subjective well-being. The logarithmic mean values of respondents' paper reading and digital reading were 0.218 (SD = 0.413) and 0.160 (SD = 0.369), respectively, showing that Chinese residents still need to read more and there is still a long way to go in the promotion and popularization of the national reading campaign. The mean of respondents' loneliness was 1.774 (SD = 0.850), close to seldom feeling lonely, showing that respondents felt loneliness in low frequency. The mean of respondents' perceived fairness was 3.100 (SD = 1.065), meaning that most respondents felt that society was fair at a high level.
Multiple linear regression analysis
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A four-step multiple linear regression analysis was conducted to explore the impacts of reading mediums on subjective well-being. Findings are provided in Table 4. Firstly, we tested the independence among variables with Durbin-Watson statistics. D.W. = 1.948 in our sample, meaning good independence. Furthermore, we examined multicollinearity by tolerance values and VIF., and found that the tolerance values were all above 0.1, and the VIF (Variance Inflation Factor) values were less than 10, so there was no collinearity among variables.
Table 4. OLS regression models of reading mediums on subjective well-being.
Measured varibles Model 1 Model 2 Model 3 Model 4 Age 0.149(0.001)*** 0.163(0.001)*** 0.156(0.001)*** 0.122(0.001)*** Gender 0.040(0.027)** 0.042(0.027)** 0.047(0.026)** 0.05(0.025)*** Ethnic minorities −0.011(0.050) −0.012(0.050) −0.007(0.049) −0.002(0.047) Spouse 0.082(0.032)*** 0.089(0.032)*** 0.067(0.032)*** 0.075(0.031)*** Urban/rural 0.024(0.031) 0.029(0.031) 0.035(0.030)* 0.019(0.029) Income 0.022(0.000) 0.021(0.000) 0.018(0.000) 0.014(0.000) Educational level (control: Primary school or below ) Middle school 0.048(0.036)** 0.041(0.036)* 0.032(0.035) 0.044(0.034)* High school 0.084(0.043)*** 0.063(0.044)*** 0.054(0.043)** 0.067(0.042)*** Undergraduate 0.110(0.049)*** 0.068(0.052)** 0.055(0.051)* 0.065(0.049)** Graduate 0.046(0.137)** 0.025(0.140) 0.022(0.138) 0.022(0.133) Member of China Communist Party (CPC) 0.047(0.046)** 0.04(0.046)* 0.041(0.046)* 0.033(0.044)* Health condition 0.251(0.013)*** 0.248(0.013)*** 0.223(0.013)*** 0.205(0.012)*** Interpersonal stress −0.164(0.018)*** −0.166(0.018)*** −0.121(0.018)*** −0.101(0.017)*** Medical insurance 0.014(0.051) 0.014(0.051) 0.011(0.051) 0.01(0.049) Paper reading 0.071(0.037)*** 0.069(0.036)*** 0.053(0.035)** Digital reading 0.048(0.041)** 0.042(0.041)* 0.033(0.039)* Loneliness −0.168(0.016)*** −0.153(0.016)*** Perceived fairness 0.261(0.012)*** Observations 3837 3837 3837 3837 Adjusted R2 0.121 0.127 0.151 0.216 * p < 0.05, ** p < 0.01, *** p < 0.001 Model 1 in Table 4 shows the effects of control variables on subjective well-being. According to the results of regression, age, gender, spouse educational level, member of the CPC, health condition and interpersonal stress significantly influenced individuals' subjective well-being, whereas ethnic minorities, urban/rural, income, medical insurance were not the main factors, as the p-value of these variables were above 0.05. To be more specific, age was positively related to subjective well-being (β = 0.149, p < 0.001), indicating that the senior citizens feel happier. Gender was also significantly concerned with subjective well-being (β = 0.040, p < 0.001), meaning that females were happier than males. Spouse was positively correlated with subjective well-being (β = 0.082, p < 0.001), showing that individuals who had a spouse were happier than those who did not.
Moreover, the educational level positively influenced subjective well-being, and individuals who had a higher level than the primary school degree were happier than those who only finished primary school or below. Members of the CPC can also predict subjective well-being (β = 0.047, p < 0.01), indicating that individuals who joined CPC were happier than those who did not. Health condition was also a predictor of subjective well-being (β = 0.251, p < 0.01). In other words, the healthier one is, the happier he/she will be. An interesting finding was that interpersonal stress negatively affected subjective well-being (β = −0.164, p < 0.01), indicating that a higher level of interpersonal stress will decrease one's subjective well-being.
Variables of paper reading and digital reading were included in Model 2 to answer RQ1. In this model, control variables such as age, gender, spouse, educational level, member of the CPC, health condition, and interpersonal stress still significantly influenced individuals' subjective well-being, with p-values of these variables below 0.05. After controlling for the above variables, paper reading was positively related to subjective well-being (β = 0.071, p < 0.001), and digital reading also had a positive correlation (β = 0.048, p < 0.01). In other words, regardless of reading mediums, individuals reading more felt much happier. According to the beta values and p-values, paper reading contributed more and was more significant in statistics than digital reading. Therefore, paper reading played a more essential role in improving subjective well-being.
Considering analysis for research hypotheses, loneliness and perceived fairness possibly mediate reading on subjective well-being. Loneliness was included in Model 3 to examine H1a and H1b, and perceived fairness was included in Model 4 based on Model 3 to test H2a and H2b. Model 3 in Table 4 shows that loneliness had a negative association with subjective well-being (β = −0.168, p < 0.001). Meanwhile, the regression coefficient of paper reading decreased from 0.071 to 0.069. Thus, loneliness might mediate between paper reading and subjective well-being. The regression coefficient of digital reading also decreased from 0.048 to 0.042, with its p-values changed from below 0.01 to below 0.05, showing that loneliness may also play a mediation role between digital reading and subjective well-being. In other words, paper reading and digital reading indirectly motivate subjective well-being by the mediating effect of loneliness. Finally, in Model 4 in Table 4, perceived fairness positively improved subjective well-being (β = 0.261, p < 0.001). Meanwhile, the regression coefficient and significance of paper reading and digital reading continued to decrease. So perceived fairness may also play a mediating role for these reading two mediums.
Mediation effect test
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Four-step hierarchical linear regression indicated that paper reading and digital reading affected individuals' subjective well-being partly by decreasing one's loneliness and increasing perceived fairness. To further examine how reading mediums affect subjective well-being, the study used Hayes' PROCESS macro[31] taking subjective well-being as the dependent variable, paper reading and digital reading as the independent variables, and loneliness and perceived fairness as the mediating variables. The results are shown in Table 5.
Table 5. The mediating effect of loneliness and perceived fairness (Bootstrap = 2,000).
Path Effect Estimate S.E. Est./S.E p-value Prop. mediated Paper reading→Subjective well-being Total effect 0.113 0.010 11.784 0.000 ACMEa 0.023 0.004 5.248 0.000 20.35% Loneliness 0.010 0.003 2.999 0.003 8.85% Perceived fairness 0.013 0.003 4.707 0.000 11.50% ADEb 0.090 0.009 10.481 0.000 79.65% Digital reading→Subjective
well-beingTotal effect 0.032
(0.046)c0.010 3.348 0.001 ACME 0.003 0.005 0.760 0.447 6.52% Loneliness 0.010 0.004 2.825 0.005 21.74% Perceived fairness −0.007 0.003 −2.528 0.011 15.22% ADE 0.029 0.008 3.513 0.000 63.04% a ACME means average causal mediation effects
b ADE means average direct effects.
c As there is a suppressing effect, the value of total effect (0.046) is the sum of the absolute value of ADE and indirect effects
* p < 0.05, ** p < 0.01, *** p < 0.001The ADE of paper reading on subjective well-being was 0.090 (p < 0.001), so the ADE of paper reading was significant. The mediating effects of paper reading via loneliness and perceived fairness were significant, with their estimates being 0.010 (p < 0.01) and 0.013 (p < 0.001). Therefore, loneliness and perceived fairness mediated between paper reading and subjective well-being.
In terms of impacts of digital reading on subjective well-being, ADE was 0.029 (p < 0.001), the mediating effect of digital reading via loneliness was 0.010 (p < 0.01), and the path coefficient of digital reading via perceived fairness was −0.007 (p < 0.05), in the opposite direction of the coefficient of the total indirect effect, so perceived fairness played a suppressing effect.
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With the publishing industries' digital transformation, digital reading is gradually overtaking paper reading to lead the new reading trend in China. Based on CGSS2017 data, this study focuses on the characteristics of different reading mediums to explore the effects of digital reading and paper reading on subjective well-being and reveal their paths of impact. The study finds that: both reading mediums have positive effects on subjective well-being, with digital reading being slightly less effective; loneliness and perceived fairness play a partially mediating role between paper reading and subjective well-being; while the impact of digital reading on subjective well-being is influenced by the mediating effect of loneliness and the suppressing effect of perceived fairness.
First, both digital reading and paper reading promote individual subjective well-being, with digital reading being weaker than traditional paper reading in terms of enhancing subjective well-being. In other words, individuals who read more books on paper or on digital media feel happier than those reading less. Therefore, the study responds to previous research and further supports evidence from previous observations that reading plays a vital role in improving individuals' subjective well-being whatever the reading medium. Also, this study further shows that diverse reading mediums have different effects on subjective well-being.
Second, loneliness and perceived fairness mediate the effects of digital reading and paper reading on subjective well-being. On the one hand, loneliness plays a mediating role between two reading mediums and subjective well-being. In other words, the first path to improve subjective well-being is that people reading paper books and ebooks can relieve the sense of loneliness. The findings further respond to previous literature on reading and subjective well-being. Reading not only reduces these lonely times but also builds a parasocial relationship with the characters of stories so that reading as a kind of social surrogate works for promoting happiness.
On the other hand, perceived fairness mediates the effect of paper reading on subjective well-being, while the situation is entirely different for digital reading which is influenced by the suppressing effect of perceived fairness, meaning that reading ebooks can reduce perceived fairness that damages subjective well-being. This study argues that digital reading leads to decreased perceived fairness, probably due to differences in digital reading content and meaning from paper reading. Paper reading is often closely associated with the pursuit of fair education in China, whereas digital reading is usually used for entertainment and information seeking, and is, therefore, less likely to generate perceptions of social fairness. Besides, compared to the traditional printed book publishing standardized process and strict review, information on digital platforms lacks regulation and tends to amplify individuals' perceptions of inequality. The results of mediating effect test that perceived fairness plays different roles for paper reading and digital reading, give a partial explanation of why digital reading is less effective than paper reading in enhancing subjective well-being.
Compared with paper-based reading, the current mechanism of the effect of digital reading on subjective well-being is less clear, which is initially explored in this paper. Previous studies on social media reading have suggested that digital reading has two sides, which can enhance subjective well-being through vicarious satisfaction, and may also produce relative deprivation and thus impair subjective well-being[2]. The present study further confirms the two-sided nature of digital reading and enriches the mechanism of action on subjective well-being.
Based on a large national random sample, this study explores the effects of different reading mediums on subjective well-being with the following theoretical contributions. First, this study explores the influence of reading mediums on subjective well-being from a cognitive perspective, which is essential to previous studies of reading mediums and enriches the established literature. Second, it enriches the mechanism of reading's effect on subjective well-being. The literature has considered reading as a form of cultural participation or leisure to enhance subjective well-being. This study further verifies the mediating effects of loneliness and perceived fairness; meanwhile, it compares the well-being effects of paper and digital reading, and initially presents the similarities and differences between paper and digital reading in affecting subjective well-being.
This study also offers some suggestions for the national reading campaign and the development of the publishing industry. Based on the results of this study, the publishing industry should take corresponding measures to assist the national reading campaign based on the characteristics of different reading mediums, for different effects of digital reading and paper reading on subjective well-being.
First, it is necessary to promote nationwide reading and increase the amount of reading to continuously improve people's sense of happiness and meet people's desire for a happy life, which requests the publishing industry to pay attention to the publication content and publish more content and publications for the public.
Second, in terms of promotion strategies, digital reading and paper reading should be taken into account in a balanced way and it is necessary to further ramp up the publishing convergence and deploy publishing resources. In other words, the publishing industry needs to keep pace with the times to publish good quality digital books, as well as emphasize the importance of paper reading, focusing on the construction of bookstores and other offline reading platforms.
Besides, in response to the negative impacts of digital reading on perceived fairness, the publishing industry is supposed to enhance Internet content regulation and work as a gatekeeper. Publishing organizations are supposed to put the social benefits first, achieve the unification of social and economic benefits, and actively play the role to guide social trends, educate the people, serve society and boost development. Therefore, it is vital for publishing organizations to strictly check digital publishing content and focus on the correct guidance of social cognition.
The study also has some limitations. To begin with, the study measured the independent variables only via two items about printed books and ebooks and had no access to measure other types of reading content such as magazines and newspapers, which might influence the estimation of the effects of reading mediums on subjective well-being. Designing a scale measuring reading behaviours more comprehensively and roundly might be a good approach for further study. Moreover, reading frequency, reading mediums and reading types are all interesting indicators that should be considered in future research. Secondly, this study only explores two factors that mediate between reading and subjective well-being; there are other potential factors to be explored in the future. Thus, it seems necessary for future studies to find those factors and combine them in a theoretical model to find the effect of the mechanisms and how those factors work together. Lastly, the study can’t avoid the endogeneity bias that subjective well-being might influence reading behaviours. In other words, the possibility does not rule out that individuals who feel happier tend to read more. Therefore, it would be necessary to explain the complex relationships via panel surveys or other research methods.
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About this article
Cite this article
Zhang D, Wang S. 2022. The impact of reading on subjective well-being and implications for the publishing industry: evidence from China. Publishing Research 1:3 doi: 10.48130/PR-2022-0003
The impact of reading on subjective well-being and implications for the publishing industry: evidence from China
- Received: 01 April 2022
- Accepted: 25 May 2022
- Published online: 30 June 2022
Abstract: The publishing industry considers launching nationwide reading as its responsibility, as the national reading campaign has become a primary national strategy in China. However, research rarely studies how reading impacts on an individuals subjective well-being and the comparison between reading mediums. This study explored how diverse reading mediums affect subjective well-being, using data from the Chinese General Social Survey (CGSS2017). The study found that both paper reading and digital reading can improve individuals' subjective well-being. Besides, loneliness and perceived fair play mediation roles between reading mediums and subjective well-being. The results suggest that the publishing industry should further ramp up the publishing convergence, insist on putting social benefits in first place, and provide correct guidance to the public.
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Key words:
- Subjective well-being /
- Reading mediums /
- Perceived fairness /
- Loneliness