Acta Psychologica Sinica ›› 2023, Vol. 55 ›› Issue (3): 435-454.doi: 10.3724/SP.J.1041.2023.00435
• Special Issue on “Psychological Characteristics and Behaviors of Chinese People in Response to Crisis and Challenges” • Previous Articles Next Articles
SHEN Si-Chu1,2, Khishignyam BAZARVAANI3, DING Yang2,4, MA Jia-Tao5, YANG Shu-Wen2,4, KUANG Yi2,4, XU Ming-Xing2,6, John E. TAPLIN7, LI Shu2,4,5,*()
Received:
2021-04-05
Published:
2023-03-25
Online:
2022-12-22
Contact:
LI Shu
E-mail:lishu@psych.ac.cn
Supported by:
SHEN Si-Chu, Khishignyam BAZARVAANI, DING Yang, MA Jia-Tao, YANG Shu-Wen, KUANG Yi, XU Ming-Xing, John E. TAPLIN, LI Shu. (2023). Changes in the intertemporal choices of people in or close to Chinese culture can predict their self-rated survival achievement in the fight against COVID-19: A cross-national study in 18 Asian, African, European, American, and Oceanian countries. Acta Psychologica Sinica, 55(3), 435-454.
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URL: https://journal.psych.ac.cn/acps/EN/10.3724/SP.J.1041.2023.00435
Figure 1. Research variables and general hypothesis: a specific cultural group practices biàn tōng and survives in a pandemic crisis; the greater the degree of change in intertemporal choice for this cultural group, the more likely it is to survive the fight against COVID-19.
Country | Questionnaire language /official language | Data collection period (month/day) | Female (n) | Total (n) | Average age (years) | Subjective social status | University educated (%) |
---|---|---|---|---|---|---|---|
Italy | English/Italian | 6/14-7/15 | 417 | 916 | 26.87 | 5.92 | 65.7 |
Canada | English/English, Cree, and more | 6/16-7/15 | 498 | 1022 | 32.10 | 5.87 | 88.5 |
Germany | English/German | 6/18-8/20 | 482 | 1046 | 29.93 | 5.92 | 79.8 |
United States | English/English | 6/24-8/12 | 477 | 978 | 34.18 | 5.46 | 89.3 |
Netherlands | English/Dutch | 6/15-6/23 | 169 | 368 | 29.04 | 6.21 | 80.7 |
United Kingdom | English/English | 6/23-7/15 | 612 | 970 | 35.20 | 5.48 | 80.5 |
Sweden | English/Swedish | 6/12-9/09 | 83 | 275 | 29.90 | 5.45 | 75.5 |
France | English/French | 6/17-9/09 | 145 | 398 | 27.68 | 5.77 | 88.4 |
Spain | English/Spanish | 6/14-7/27 | 470 | 1047 | 30.86 | 5.71 | 84.9 |
Australia | English/English | 6/01-9/13 | 418 | 877 | 31.94 | 5.90 | 85.9 |
China | Chinese/Standard Chinese | 4/23-6/09 | 10074 | 16654 | 28.92 | 5.26 | 90.3 |
South Africa | English/South African, English, and more | 6/26-9/05 | 278 | 516 | 30.55 | 5.65 | 73.3 |
India | English/Hindi, English, and more | 6/25-9/06 | 126 | 326 | 29.02 | 6.17 | 90.2 |
Nigeria | English/English | 6/30-8/31 | 86 | 142 | 29.82 | 5.90 | 90.9 |
Singapore | English/English | 6/23-9/01 | 24 | 35 | 28.80 | 6.37 | 97.1 |
Malaysia | English/Malay | 6/24-9/08 | 51 | 89 | 28.04 | 5.98 | 92.1 |
Philippines | English/English, Filipino | 6/24-9/09 | 97 | 149 | 29.04 | 5.66 | 85.9 |
Mongolia | English/Mongolian | 5/04-6/02 | 371 | 527 | 25.52 | 6.44 | 95.3 |
Total | 14878 | 26355 | 29.58 | 5.46 | 87.6 |
Table 1 Demographic characteristics of participants by country (N = 26,355)
Country | Questionnaire language /official language | Data collection period (month/day) | Female (n) | Total (n) | Average age (years) | Subjective social status | University educated (%) |
---|---|---|---|---|---|---|---|
Italy | English/Italian | 6/14-7/15 | 417 | 916 | 26.87 | 5.92 | 65.7 |
Canada | English/English, Cree, and more | 6/16-7/15 | 498 | 1022 | 32.10 | 5.87 | 88.5 |
Germany | English/German | 6/18-8/20 | 482 | 1046 | 29.93 | 5.92 | 79.8 |
United States | English/English | 6/24-8/12 | 477 | 978 | 34.18 | 5.46 | 89.3 |
Netherlands | English/Dutch | 6/15-6/23 | 169 | 368 | 29.04 | 6.21 | 80.7 |
United Kingdom | English/English | 6/23-7/15 | 612 | 970 | 35.20 | 5.48 | 80.5 |
Sweden | English/Swedish | 6/12-9/09 | 83 | 275 | 29.90 | 5.45 | 75.5 |
France | English/French | 6/17-9/09 | 145 | 398 | 27.68 | 5.77 | 88.4 |
Spain | English/Spanish | 6/14-7/27 | 470 | 1047 | 30.86 | 5.71 | 84.9 |
Australia | English/English | 6/01-9/13 | 418 | 877 | 31.94 | 5.90 | 85.9 |
China | Chinese/Standard Chinese | 4/23-6/09 | 10074 | 16654 | 28.92 | 5.26 | 90.3 |
South Africa | English/South African, English, and more | 6/26-9/05 | 278 | 516 | 30.55 | 5.65 | 73.3 |
India | English/Hindi, English, and more | 6/25-9/06 | 126 | 326 | 29.02 | 6.17 | 90.2 |
Nigeria | English/English | 6/30-8/31 | 86 | 142 | 29.82 | 5.90 | 90.9 |
Singapore | English/English | 6/23-9/01 | 24 | 35 | 28.80 | 6.37 | 97.1 |
Malaysia | English/Malay | 6/24-9/08 | 51 | 89 | 28.04 | 5.98 | 92.1 |
Philippines | English/English, Filipino | 6/24-9/09 | 97 | 149 | 29.04 | 5.66 | 85.9 |
Mongolia | English/Mongolian | 5/04-6/02 | 371 | 527 | 25.52 | 6.44 | 95.3 |
Total | 14878 | 26355 | 29.58 | 5.46 | 87.6 |
Figure 3. Radar map drawn according to Hofstede's 6 cultural dimension indicators. Note. China's vector distance is defined as point 0. The farther away from 0, the farther away from Chinese culture.
Figure 4. Hierarchical clustering tree diagram of 17 countries (excluding Mongolia) in 6-dimensional cultural space. Note. Clustering was carried out according to Hofstede’s 6-dimensional index of cultural distance. The Ward method was used as the clustering algorithm and the square Euclidean distance was used as the measurement index of inter-cluster distance to obtain five categories.
Variable | M ± SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|---|
Individual level | |||||||||
Gender (Female = 1, Male = 0) | — | ||||||||
Age | 29.58 ± 9.71 | -0.089** | — | ||||||
Education level | 2.99 ± 0.56 | 0.040** | 0.052** | — | |||||
Immediate life satisfaction | 3.89 ± 1.13 | 0.008 | 0.074** | 0.091** | — | ||||
Social and economic status ladder | 5.46 ± 1.71 | -0.025** | 0.102** | 0.159** | 0.337** | — | |||
Degree of change in intertemporal choice for different currencies (Indicator 1) | 0.20 ± 3.15 | 0.022* | -0.026** | 0.026** | 0.015* | 0.006 | — | ||
Degree of change in intertemporal choice at different stages (Indicator 2) | 0.02 ± 3.88 | -0.005 | -0.002 | 0.003 | -0.001 | 0.002 | 0.004 | — | |
Underwater ladder (self-rated survival achievement) | 6.98 ± 2.03 | -0.010 | 0.031** | 0.075** | 0.345** | 0.347** | 0.018** | 0.006 | — |
Regional level | |||||||||
Per capita GDP | 33646.11 ± 25002.74 | — | |||||||
Number of confirmed cases of COVID-19 pneumonia per 10,000 people | 27.79 ± 25.02 | 0.598** | — | ||||||
Population of the countrya | 3.72 ±0.72 | -0.297 | -0.305 | — | |||||
Population densitya | 1.97 ±0.88 | 0.038 | 0.192 | 0.166 | — | ||||
Land areab | 1240.62±1052.46 | -0.042 | -0.184 | 0.486* | -0.579* | — | |||
6-dimensional cultural distanceb | 5.48 ±2.57 | -0.524** | 0.207 | 0.310 | 0.626** | -0.144 | — |
Table 2 Means, standard deviations, and correlation coefficients of study variables
Variable | M ± SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|---|
Individual level | |||||||||
Gender (Female = 1, Male = 0) | — | ||||||||
Age | 29.58 ± 9.71 | -0.089** | — | ||||||
Education level | 2.99 ± 0.56 | 0.040** | 0.052** | — | |||||
Immediate life satisfaction | 3.89 ± 1.13 | 0.008 | 0.074** | 0.091** | — | ||||
Social and economic status ladder | 5.46 ± 1.71 | -0.025** | 0.102** | 0.159** | 0.337** | — | |||
Degree of change in intertemporal choice for different currencies (Indicator 1) | 0.20 ± 3.15 | 0.022* | -0.026** | 0.026** | 0.015* | 0.006 | — | ||
Degree of change in intertemporal choice at different stages (Indicator 2) | 0.02 ± 3.88 | -0.005 | -0.002 | 0.003 | -0.001 | 0.002 | 0.004 | — | |
Underwater ladder (self-rated survival achievement) | 6.98 ± 2.03 | -0.010 | 0.031** | 0.075** | 0.345** | 0.347** | 0.018** | 0.006 | — |
Regional level | |||||||||
Per capita GDP | 33646.11 ± 25002.74 | — | |||||||
Number of confirmed cases of COVID-19 pneumonia per 10,000 people | 27.79 ± 25.02 | 0.598** | — | ||||||
Population of the countrya | 3.72 ±0.72 | -0.297 | -0.305 | — | |||||
Population densitya | 1.97 ±0.88 | 0.038 | 0.192 | 0.166 | — | ||||
Land areab | 1240.62±1052.46 | -0.042 | -0.184 | 0.486* | -0.579* | — | |||
6-dimensional cultural distanceb | 5.48 ±2.57 | -0.524** | 0.207 | 0.310 | 0.626** | -0.144 | — |
Figure 6. Ranking of discount rates for five types of countries and Mongolian participants (N = 26,355) over six major global currencies and four pandemic currencies. Note. Vertical axis unit (0-100). 0-50 (blue interval) indicates preference for the “smaller gain now and larger loss in the future” option: the smaller the value, the greater the discount rate and the greater the likelihood of preferring a fast strategy; 50-100 (green range) indicates a preference for the “smaller loss now and larger gain in the future” option: the larger the value, the smaller the discount rate and the greater the likelihood of preferring a slow strategy; 50 denotes a preference for neither strategy. In the quarantine time option, given that the number of days to be exempted from quarantine is seen as gain while the number of days of quarantine is seen as loss, the scoring for this in reversed. The error line shows the standard error.
Figure 7. Participant’s intertemporal choice preferences for different currencies in different countries. Note. Peacetime currency (orange) and pandemic currency (red). From left to right, changes are arranged from large to small. A unit of Vertical axis (0-100): 0-50 (blue interval) the smaller the value, the greater the discount rate and the greater the likelihood to prefer the fast strategy; 50-100 (green range): the larger the value, the smaller the discount rate and the greater the likelihood to prefer the slow strategy; 50 denotes a preference for neither strategy. Error line indicates standard errors.
Figure 8. The degree of change in intertemporal choice at different stages from different countries. Note. Blue indicates the mask option (peacetime vs. pandemic time), red indicates the toilet paper option (peacetime vs. pandemic time). From left to right, changes are arranged from large to small. The larger the value of the vertical axis, the greater the difference between the discount rate of the temporal outcomes now (pandemic) and one year ago (peacetime). Error lines indicate standard errors.
Figure 9. Self-rated survival achievement (underwater ladder level) of participants in different countries during the pandemic situation. Note. See section 2.2.4 for an explanation of the underwater ladder item. Error lines indicate standard errors.
Self-rated survival achievement (underwater ladder) | ||||||
---|---|---|---|---|---|---|
Variable | Model 1 | Model 2 | ||||
Estimates (SE) | t | 95% CIs | Estimates (SE) | t | 95% CIs | |
Intercept | 7.14 (0.09) | 81.52*** | 6.97-7.31 | 6.94 (0.09) | 79.240*** | 6.77-7.11 |
Individual level (Level - 1) | ||||||
Gender (Female = 1, Male = 0) | -0.03 (0.02) | -1.18 | -0.08-0.02 | -0.03 (0.02) | -1.278 | -0.08-0.02 |
Age | -0.02 (0.01) | -1.47 | -0.04-0.01 | -0.02 (0.01) | -1.565 | -0.04-0.00 |
Education level | 0.02 (0.01) | 1.62 | -0.00-0.04 | 0.02 (0.01) | 1.723 | -0.00-0.04 |
Immediate life satisfaction | 0.52 (0.01) | 42.23*** | 0.50-0.55 | 0.53 (0.01) | 42.086*** | 0.51-0.56 |
Socioeconomic status ladder | 0.51 (0.01) | 39.95*** | 0.49-0.54 | 0.51 (0.01) | 39.518*** | 0.49-0.54 |
Degree of change in intertemporal choice in different currencies | 0.01 (0.02) | 0.76 | -0.02-0.05 | -0.03 (0.02) | -1.121 | -0.07-0.02 |
Degree of change in intertemporal choice in different stages | 0.01 (0.01) | 0.75 | -0.01-0.03 | -0.02 (0.02) | -1.222 | -0.05-0.01 |
Regional level (Level - 2) | ||||||
Per capita GDP | 0.37 (0.07) | 5.243*** | 0.23-0.51 | |||
Number of confirmed cases of COVID-19 pneumonia per 10,000 people | -0.11 (0.06) | -1.976 | -0.23- -0.00 | |||
Population of the countrya | 0.16 (0.11) | 1.410 | -0.06-0.38 | |||
Population densitya | -0.36 (0.15) | -2.361* | -0.66--0.06 | |||
Land areab | -0.27 (0.12) | -2.304* | -0.51--0.04 | |||
6-dimensional cultural distanceb | 0.27 (0.10) | 2.830* | 0.08-0.46 | |||
Cross-layer interaction | ||||||
6-dimensional cultural distance × Degree of change in intertemporal choice of different currencies | 0.03 (0.01) | 2.242* | 0.00-0.05 | |||
6-dimensional Cultural distance × Degree of change in intertemporal choice in different stages | 0.02 (0.01) | 2.355* | 0.00-0.04 | |||
Variance decomposition | ||||||
df (level1) | 26, 355 | 26, 355 | ||||
df (level2) | 18 | 18 | ||||
Intra-group variance (2) | 3.28 | 3.26 | ||||
Variance between groups (τ) | 0.10 | 0.04 | ||||
R2 | 0.17 | 0.18 |
Table 3 Analysis results of multilevel linear model
Self-rated survival achievement (underwater ladder) | ||||||
---|---|---|---|---|---|---|
Variable | Model 1 | Model 2 | ||||
Estimates (SE) | t | 95% CIs | Estimates (SE) | t | 95% CIs | |
Intercept | 7.14 (0.09) | 81.52*** | 6.97-7.31 | 6.94 (0.09) | 79.240*** | 6.77-7.11 |
Individual level (Level - 1) | ||||||
Gender (Female = 1, Male = 0) | -0.03 (0.02) | -1.18 | -0.08-0.02 | -0.03 (0.02) | -1.278 | -0.08-0.02 |
Age | -0.02 (0.01) | -1.47 | -0.04-0.01 | -0.02 (0.01) | -1.565 | -0.04-0.00 |
Education level | 0.02 (0.01) | 1.62 | -0.00-0.04 | 0.02 (0.01) | 1.723 | -0.00-0.04 |
Immediate life satisfaction | 0.52 (0.01) | 42.23*** | 0.50-0.55 | 0.53 (0.01) | 42.086*** | 0.51-0.56 |
Socioeconomic status ladder | 0.51 (0.01) | 39.95*** | 0.49-0.54 | 0.51 (0.01) | 39.518*** | 0.49-0.54 |
Degree of change in intertemporal choice in different currencies | 0.01 (0.02) | 0.76 | -0.02-0.05 | -0.03 (0.02) | -1.121 | -0.07-0.02 |
Degree of change in intertemporal choice in different stages | 0.01 (0.01) | 0.75 | -0.01-0.03 | -0.02 (0.02) | -1.222 | -0.05-0.01 |
Regional level (Level - 2) | ||||||
Per capita GDP | 0.37 (0.07) | 5.243*** | 0.23-0.51 | |||
Number of confirmed cases of COVID-19 pneumonia per 10,000 people | -0.11 (0.06) | -1.976 | -0.23- -0.00 | |||
Population of the countrya | 0.16 (0.11) | 1.410 | -0.06-0.38 | |||
Population densitya | -0.36 (0.15) | -2.361* | -0.66--0.06 | |||
Land areab | -0.27 (0.12) | -2.304* | -0.51--0.04 | |||
6-dimensional cultural distanceb | 0.27 (0.10) | 2.830* | 0.08-0.46 | |||
Cross-layer interaction | ||||||
6-dimensional cultural distance × Degree of change in intertemporal choice of different currencies | 0.03 (0.01) | 2.242* | 0.00-0.05 | |||
6-dimensional Cultural distance × Degree of change in intertemporal choice in different stages | 0.02 (0.01) | 2.355* | 0.00-0.04 | |||
Variance decomposition | ||||||
df (level1) | 26, 355 | 26, 355 | ||||
df (level2) | 18 | 18 | ||||
Intra-group variance (2) | 3.28 | 3.26 | ||||
Variance between groups (τ) | 0.10 | 0.04 | ||||
R2 | 0.17 | 0.18 |
Variable | Cultural Circle 1: China/Singapore 6-dimensional Cultural Distance = 19.839 | Cultural Circle 2: India/ Nigeria/Malaysia/Philippines average 6-dimensional cultural distance = 70.431 | Cultural Circle 3: The average 6-dimensional cultural distance between France/Spain/ Germany/Italy = 82.495 | Cultural Circle 4: The average 6-dimensional cultural distance between the United States/Australia/Canada/ the United Kingdom/South Africa = 105.473 | Cultural Circle 5: The average 6-dimensional cultural distance between Netherlands and Sweden = 109.097 | Mongolia lacks 6-dimensional cultural distance | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | |
Independent variable | ||||||||||||
Degree of change in intertemporal choice: different currencies | 0.036* | 0.994? | 0.033 | -0.053 | 1.440 | 0 | ||||||
Degree of change in intertemporal choice: different stages | 0.029? | 0.010 | -0.031 | -0.013 | -0.152* | 0.030 | ||||||
Control variable | ||||||||||||
Gender | 0.059? | 0.046 | -0.005 | -0.012 | -0.163** | -0.161** | -0.112* | -0.132* | -0.296* | -0.318* | 0.045 | 0.049 |
Age | 0.021 | 0.033? | 0.040 | 0.024 | -0.147*** | -0.152*** | -0.052* | -0.056* | -0.047 | -0.026 | 0.006 | 0.018 |
Education level | 0.029 | 0.029 | -0.020 | -0.044 | 0.061** | 0.069** | -0.006 | -0.005 | 0.045 | 0.050 | -0.266 | -0.218 |
Life satisfaction | 0.583*** | 0.590*** | 0.434*** | 0.454*** | 0.425*** | 0.418*** | 0.455*** | 0.446*** | 0.355*** | 0.366*** | 0.329*** | 0.318*** |
Socioeconomic status ladder | 0.480*** | 0.460*** | 0.719*** | 0.720*** | 0.522*** | 0.537*** | 0.715*** | 0.706*** | 0.455*** | 0.436*** | 0.404*** | 0.406*** |
Adjusted R2 | 0.169 | 0.166 | 0.230 | 0.233 | 0.186 | 0.191 | 0.236 | 0.233 | 0.153 | 0.154 | 0.088 | 0.085 |
Table 4 Regression analysis of the influence of degree of changes in intertemporal choice of different currencies (Indicator 1) and at different stages (Indicator 2) for five cultural circle countries and Mongolia on self-rated survival achievement
Variable | Cultural Circle 1: China/Singapore 6-dimensional Cultural Distance = 19.839 | Cultural Circle 2: India/ Nigeria/Malaysia/Philippines average 6-dimensional cultural distance = 70.431 | Cultural Circle 3: The average 6-dimensional cultural distance between France/Spain/ Germany/Italy = 82.495 | Cultural Circle 4: The average 6-dimensional cultural distance between the United States/Australia/Canada/ the United Kingdom/South Africa = 105.473 | Cultural Circle 5: The average 6-dimensional cultural distance between Netherlands and Sweden = 109.097 | Mongolia lacks 6-dimensional cultural distance | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | |
Independent variable | ||||||||||||
Degree of change in intertemporal choice: different currencies | 0.036* | 0.994? | 0.033 | -0.053 | 1.440 | 0 | ||||||
Degree of change in intertemporal choice: different stages | 0.029? | 0.010 | -0.031 | -0.013 | -0.152* | 0.030 | ||||||
Control variable | ||||||||||||
Gender | 0.059? | 0.046 | -0.005 | -0.012 | -0.163** | -0.161** | -0.112* | -0.132* | -0.296* | -0.318* | 0.045 | 0.049 |
Age | 0.021 | 0.033? | 0.040 | 0.024 | -0.147*** | -0.152*** | -0.052* | -0.056* | -0.047 | -0.026 | 0.006 | 0.018 |
Education level | 0.029 | 0.029 | -0.020 | -0.044 | 0.061** | 0.069** | -0.006 | -0.005 | 0.045 | 0.050 | -0.266 | -0.218 |
Life satisfaction | 0.583*** | 0.590*** | 0.434*** | 0.454*** | 0.425*** | 0.418*** | 0.455*** | 0.446*** | 0.355*** | 0.366*** | 0.329*** | 0.318*** |
Socioeconomic status ladder | 0.480*** | 0.460*** | 0.719*** | 0.720*** | 0.522*** | 0.537*** | 0.715*** | 0.706*** | 0.455*** | 0.436*** | 0.404*** | 0.406*** |
Adjusted R2 | 0.169 | 0.166 | 0.230 | 0.233 | 0.186 | 0.191 | 0.236 | 0.233 | 0.153 | 0.154 | 0.088 | 0.085 |
Variable | Cultural Circle 1: China/Singapore | Cultural Circle 2: India/Malaysia/Philippines/Nigeria |
---|---|---|
Model 3 | Model 3 | |
Constants (b0) | 3.143*** | 2.847*** |
Gender (Female = 1, Male = 0) | 0.043 | 0.000 |
Age | 0.004** | 0.003 |
Education level | 0.040 | -0.090 |
Socioeconomic status | 0.273*** | 0.419*** |
Life satisfaction | 0.521*** | 0.401*** |
Degree of change in intertemporal choice: different currencies (b1) | 0.130*** | 0.374 |
Degree of change in intertemporal choice: different stages (b2) | 0.009* | -0.002 |
Square of degree of change in intertemporal choice of different currencies (b3) | 0.001*** | 0.078 |
Degree of change in intertemporal choice of different currencies × Degree of change in intertemporal choice in different stages (b4) | -0.010 | -0.012 |
Square of degree of change in intertemporal choice in different stages (b5) | 0.000 | 0.000 |
R2 | 0.169 | 0.245 |
ΔR2 | 0.003*** | 0.001 |
Y = X slope (a1) | 0.139** | 0.372 |
Curvature (a2) | -0.009 | 0.066 |
Y = - X slope (a3) | 0.120** | 0.375 |
Curvature (a4) | 0.011 | 0.089 |
Table 5 Quadratic polynomial regression analysis for China/Singapore and India/Malaysia/Philippines/Nigeria cultural circles
Variable | Cultural Circle 1: China/Singapore | Cultural Circle 2: India/Malaysia/Philippines/Nigeria |
---|---|---|
Model 3 | Model 3 | |
Constants (b0) | 3.143*** | 2.847*** |
Gender (Female = 1, Male = 0) | 0.043 | 0.000 |
Age | 0.004** | 0.003 |
Education level | 0.040 | -0.090 |
Socioeconomic status | 0.273*** | 0.419*** |
Life satisfaction | 0.521*** | 0.401*** |
Degree of change in intertemporal choice: different currencies (b1) | 0.130*** | 0.374 |
Degree of change in intertemporal choice: different stages (b2) | 0.009* | -0.002 |
Square of degree of change in intertemporal choice of different currencies (b3) | 0.001*** | 0.078 |
Degree of change in intertemporal choice of different currencies × Degree of change in intertemporal choice in different stages (b4) | -0.010 | -0.012 |
Square of degree of change in intertemporal choice in different stages (b5) | 0.000 | 0.000 |
R2 | 0.169 | 0.245 |
ΔR2 | 0.003*** | 0.001 |
Y = X slope (a1) | 0.139** | 0.372 |
Curvature (a2) | -0.009 | 0.066 |
Y = - X slope (a3) | 0.120** | 0.375 |
Curvature (a4) | 0.011 | 0.089 |
Figure 10. Response surface graph of the effect of degree of change in intertemporal choice of different currencies and different stages for people in the Chinese/ Singapore cultural circle on self-rated survival achievement. Note. The degree of change for different currencies (Change Indicator 1) is the X axis; degree of change at different stages (Change Indicator 2) is the Y axis; self-rated survival achievement is the Z axis. The response surface graph is plotted according to the regression equation Z = 3.143 + 0.13X-0.009Y + 0.001 X2 -0.01XY.
[1] | A, B.-L.-T.-J., Ren, X. Y., Guo, H. F., Liu, H. Z., Zheng, R., Liang, Z. Y., ... Li, S. (2017). A comparative study of the green conscious in Uyghur and Han culture. Psychology: Techniques and Application, 5(10), 605-610. |
[2] | Adler, N., & Stewart, J. (2007). The MacArthur scale of subjective social status. San Francisco: MacArthur Research Network on SES & Health. |
[3] |
Bateson, M., & Kacelnik, A. (1996). Rate currencies and the foraging starling: The fallacy of the averages revisited. Behavioral Ecology, 7(3), 341-352.
doi: 10.1093/beheco/7.3.341 URL |
[4] | Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models: Applications and data analysis methods (pp.15-145). Newbury Park CA: Sage. |
[5] |
Bullock, H. E., & Limbert, W. M. (2003). Scaling the socioeconomic ladder: Low‐income women's perceptions of class status and opportunity. Journal of Social Issues, 59(4), 693-709.
doi: 10.1046/j.0022-4537.2003.00085.x URL |
[6] |
Campbell, A. (1976). Subjective measures of well-being. American Psychologist, 31(2), 117-124.
pmid: 1267244 |
[7] | Cannito, L., Anzani, S., Bortolotti, A., Palumbo, R., Ceccato, I., Di Crosta, A., … Palumbo, R. (2021). Temporal discounting of money and face masks during the COVID-19 pandemic: The role of hoarding level. Frontiers in Psychology, 12(642102). |
[8] |
Cardin, M. A., Ranjbar-Bourani, M., & de Neufville, R. (2015). Improving the lifecycle performance of engineering projects with flexible strategies: Example of on-shore LNG production design. Systems Engineering, 18(3), 253-268.
doi: 10.1002/sys.21301 URL |
[9] | Chen, Y. N., Yao, S. Q., & Xia, L. W. (2014). Validity and reliability of the Chinese version of the Subjective Socioeconomic Status Scale in a general adult population. Chinese Mental Health Journal, 28(11), 869-874. |
[10] |
Chen, X.-P. & Li, S. (2005). Cross-National differences in cooperative decision making in mixed-motive business contexts: The mediating effect of vertical and horizontal individualism. Journal of International Business Studies, 36(6), 622-636.
doi: 10.1057/palgrave.jibs.8400169 URL |
[11] |
Cheng, C. (2001). Assessing coping flexibility in real-life and laboratory settings: A multimethod approach. Journal of Personality and Social Psychology, 80(5), 814-833.
pmid: 11374752 |
[12] |
Cheng, C. (2009). Dialectical thinking and coping flexibility: A multimethod approach. Journal of Personality, 77(2), 471-493.
doi: 10.1111/j.1467-6494.2008.00555.x pmid: 19220723 |
[13] |
Du, W., Green, L., & Myerson, J. (2002). Cross-cultural comparisons of discounting delayed and probabilistic rewards. Psychological Record, 52, 479-492.
doi: 10.1007/BF03395199 URL |
[14] | Du, X.-L., Liu, S.-H., Xu, J.-H., Rao, L.-L., Jiang, C.-M., & Li, S. (2013). When uncertainty meets life: The effect of animacy on probability expression. Judgment and Decision Making, 8(4), 425-438. |
[15] |
Edwards, J. R., & Parry, M. E. (1993). On the use of polynomial regression equations as an alternative to difference scores in organizational research. Academy of Management Journal, 36, 1577-1613.
doi: 10.2307/256822 URL |
[16] |
Farooq, O., Rupp, D. E., & Farooq, M. (2017). The multiple pathways through which internal and external corporate social responsibility influence organizational identification and multifoci outcomes: The moderating role of cultural and social orientations. Academy of Management Journal, 60(3), 954-985.
doi: 10.5465/amj.2014.0849 URL |
[17] | Feng, Y. L., & Tu, Y. G. (2013). A Short History of Chinese Philosophy. Peking University Press. |
[18] |
Finch, E. (1992). Environmental assessment of construction projects. Construction Management and Economics, 10(1), 5-18.
doi: 10.1080/01446199200000002 URL |
[19] |
Franzini, L., & Fernandez-Esquer, M. E. (2006). The association of subjective social status and health in low-income Mexican-origin individuals in Texas. Social Science & Medicine, 63(3), 788-804.
doi: 10.1016/j.socscimed.2006.01.009 URL |
[20] |
Gan, Y., Wang, Y., Meng, R., Wen, M., Zhou, G., Lu, Y., & Miao, M. (2015). Temporal discounting mechanisms of future-oriented coping: Evidence from delay discounting and task prioritization paradigms. Journal of Behavioral Decision Making, 28(5), 529-541.
doi: 10.1002/bdm.1869 URL |
[21] |
Green, L., Fry, A. F., & Myerson, J. (1994). Discounting of delayed rewards: A life-span comparison. Psychological Science, 5, 33-36.
doi: 10.1111/j.1467-9280.1994.tb00610.x URL |
[22] |
Green, L., Myerson, J., Holt, D. D., Slevin, J. R., & Estle, S. J. (2004). Discounting of delayed food rewards in pigeons and rats: Is there a magnitude effect? Journal of the Experimental Analysis of Behavior, 81, 39-50.
pmid: 15113132 |
[23] |
Griskevicius, V., Ackerman, J. M., Cantu, S. M., Delton, A. W., Robertson, T. E., Simpson, J. A., … Tybur, J. M. (2013). When the economy falters, do people spend or save? Responses to resource scarcity depend on childhood environments. Psychological Science, 24, 197-205.
doi: 10.1177/0956797612451471 pmid: 23302295 |
[24] |
Hendrickx, L., Poortinga, W., & van der Kooij, R. (2001). Temporal factors in resource dilemmas. Acta Psychologica, 108(2), 137-154.
pmid: 11569759 |
[25] |
Hofstede, G., & Bond, M. H. (1984). Hofstede's culture dimensions: An independent validation using Rokeach's value survey. Journal of Cross-cultural Psychology, 15(4), 417-433.
doi: 10.1177/0022002184015004003 URL |
[26] | Hofstede, G., & Bond, M. H. (1988). The Confucius connection: From cultural roots to economic growth. Organizational Dynamics, 16(4), 5-21. |
[27] | Hofstede, G. H. (2001). Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations (2nd ed). Sage Publications. |
[28] | Hofstede, G. H., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind: Intercultural cooperation and its importance for survival (3rd ed). New York: McGraw-Hill. |
[29] |
Huang, T. T., Liu, L. Q., Wang, D. H., & Zhang, W. H. (2016). Socioeconomic status and sociometric status: Age differences on the effects of social comparison on subjective well-being. Acta Psychologica Sinica, 48(9), 1163-1174.
doi: 10.3724/SP.J.1041.2016.01163 URL |
[30] |
Huynh, T. L. D. (2020). Does culture matter social distancing under the COVID-19 pandemic?. Safety Science, 130, 104872.
doi: 10.1016/j.ssci.2020.104872 URL |
[31] |
Ji, L. J., Khei, M., Yap, S., Wang, X., Zhang, Z., & Hou, Y. (2020). Cultural differences in the construal of suffering and the COVID-19 pandemic. Social Psychological and Personality Science, 12(6), 1039-1047.
doi: 10.1177/1948550620958807 URL |
[32] |
Ji, L. J., Nisbett, R. E., & Su. Y..(2001). Culture, change and prediction. Psychological Science, 12, 450-456.
pmid: 11760130 |
[33] |
Ji, L. J., Zhang, Z., & Guo, T. (2008). To buy or to sell: Cultural differences in stock market decisions based on price trends. Journal of Behavioral Decision Making, 21(4), 399-413.
doi: 10.1002/bdm.595 URL |
[34] |
Jiang, C. M., Liu, H. Z., Cai, X. H., & Li, S. (2016). A process test of priority models of intertemporal choice. Acta Psychologica Sinica, 48(1), 59-72.
doi: 10.3724/SP.J.1041.2016.00059 URL |
[35] | Jiang, Y. P., Jiang, C. M., Hu, T. Y., & Sun, H. Y. (in press). Effects of emotion on intertemporal decision-making: Explanation from the single dimension priority model. Acta Psychologica Sinica. |
[36] | Jung, C. G. (1968). Foreword. In C. F. E. T. Baynes & R. G. T. Wilhelm (Eds.), The I Ching or book of changes (3rd ed., pp. xxi-xxxix). London: Routledge & Kegan Paul Ltd. |
[37] |
Kim, B., Sung, Y. S., & McClure, S. M. (2012). The neural basis of cultural differences in delay discounting. Philosophical Transactions of the Royal Society B: Biological Sciences, 367, 650-656.
doi: 10.1098/rstb.2011.0292 URL |
[38] |
Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology General, 128(1), 78-87.
doi: 10.1037/0096-3445.128.1.78 URL |
[39] |
Li, J. Z., Li, S., & Liu, H. (2011). How has the Wenchuan earthquake influenced people's intertemporal choices? Journal of Applied Social Psychology, 41(11), 2739-2752.
doi: 10.1111/j.1559-1816.2011.00847.x URL |
[40] | Li, S. (2019). Choose SS option or LL option? problems in intertemporal choice. Management Insights, 18, 80-82. |
[41] | Li, S. (2021). Dual-factor theory: Personal factors help you climb the high branch; organizational factors help you get out of trouble. Management Insights, 25, 73-75. |
[42] |
Li, S., Bi, Y. L., & Rao, L. L. (2011). Every Science/Nature potter praises his own pot—Can we believe what he says based on his mother tongue?. Journal of Cross-Cultural Psychology, 42(1), 125-130.
doi: 10.1177/0022022110383425 URL |
[43] |
Li, S., Bi, Y.-L., & Zhang, Y. (2009). Asian risk-seeking and overconfidence. Journal of Applied Social Psychology, 39(11), 2706-2736.
doi: 10.1111/j.1559-1816.2009.00545.x URL |
[44] |
Li, S., Chen, W. W., & Yu, Y. (2006). The reason for Asian overconfidence. The Journal of Psychology, 140(6), 615-618.
doi: 10.3200/JRLP.140.6.615-618 URL |
[45] | Li, S., & Fang, Y. (2004). Respondents in Asian cultures (e.g., Chinese) are more risk-seeking and more overconfident than respondents in other cultures (e.g., in United States) but the reciprocal predictions are in total opposition:How and why? Journal of Cognition and Culture. 4(2), 263-292. |
[46] |
Li, S. & Taplin, J. E. (2001). A test of independence axiom in diagnosis context that offers common symptoms. Psychologia, 44(3), 188-196.
doi: 10.2117/psysoc.2001.188 URL |
[47] | Li, S., & Taplin, J. E. (2002). Examining whether there is a disjunction effect in prisoner’s dilemma games. Chinese Journal of Psychology, 44, 25-46.s |
[48] | Li, S., Triandis, H. C., & Yu, Y. (2006). Cultural orientation and corruption. Ethics & Behavior, 16(3), 199-215. |
[49] |
Li, S., Wang, Z. J., Rao, L. L., & Li, Y. M. (2010). Is there a violation of Savage’s sure-thing principle in the prisoner’s dilemma game?. Adaptive Behavior, 18(3-4), 377-385.
doi: 10.1177/1059712310366040 URL |
[50] | Li, S., Xu, J., & Ye, X. (2011). Communication mode preference paradox and its derivate: Communication performance assessment paradox. Management Review. 23(9), 102-108. |
[51] | Liang, Z. Y., & Liu, H. (2011). Exploring the nature of intertemporal choice. Advances in Psychological Science, 19(7), 959-966. |
[52] |
Lin, W. F., Huang, C. L., & Lin, Y. C. (2015). A linguistic analysis of the impact of Zhong Yong thinking on emotion regulation. Indigenous Psychological Research in Chinese Societies, 44, 119-150. doi: 10.6254/2015.44.119
doi: 10.6254/2015.44.119 |
[53] | Lin, Y. T. (1993). Original library of famous Chinese modern prose masters: You Bu Wei Zhai anthology. China Federation of Literary and Art Circles Publishing Corporation. |
[54] |
Liu, C. C., Jia, L. D., Li, Y. X., Liu, D. P., & Yang, Y. Y. (2016). The mechanism of openness to experience’s effect on cross-cultural management effectiveness. Acta Psychologica Sinica, 48(10), 1326-1337.
doi: 10.3724/SP.J.1041.2016.01326 URL |
[55] |
Liu, H. Zhi., Jiang, C. M., Rao, L. L., & Li, S. (2015). Discounting or priority: Which rule dominates the intertemporal choice process?. Acta Psychologica Sinica, 47(4), 522-532.
doi: 10.3724/SP.J.1041.2015.00522 URL |
[56] | Loewenstein, G., & Elster, J. (Eds.). (1992). Choice over time. New York: Russell Sage Foundation. |
[57] |
Loewenstein, G., & Prelec, D. (1992). Anomalies in intertemporal choice: Evidence and an interpretation. The Quarterly Journal of Economics, 107(2), 573-597.
doi: 10.2307/2118482 URL |
[58] | Lu, J. G., Jin, P., & English, A. S. (2021). Collectivism predicts mask use during COVID-19. Proceedings of the National Academy of Sciences, 118(23), 1-8. |
[59] |
Lyons, B., & Wang, C. J. (2001). Economic analysis of environmental policy: Concerns regarding the use and role of the social discount rate. Interdisciplinary Environmental Review, 3(2), 53-63.
doi: 10.1504/IER.2001.053883 URL |
[60] |
McClure, S. M., Laibson, D. I., Loewenstein, G. F., & Cohen, J. D. (2004). Separate neural systems value immediate and delayed monetary rewards. Science, 306(5695), 503-507.
pmid: 15486304 |
[61] |
Miyakawa, M., Magnusson Hanson, L. L., Theorell, T., & Westerlund, H. (2012). Subjective social status: Its determinants and association with health in the Swedish working population (the SLOSH study). The European Journal of Public Health, 22(4), 593-597.
doi: 10.1093/eurpub/ckr064 URL |
[62] |
Nisbett, R. E., Peng, K., Choi, I., & Norenzayan, A. (2001). Culture and systems of thought: Holistic versus analytic cognition. Psychological Review, 108, 291-310.
pmid: 11381831 |
[63] |
Ostrove, J. M., Adler, N. E., Kuppermann, M., & Washington, A. E. (2000). Objective and subjective assessments of socioeconomic status and their relationship to self-rated health in an ethnically diverse sample of pregnant women. Health Psychology, 19(6), 613-618.
doi: 10.1037//0278-6133.19.6.613 pmid: 11129365 |
[64] | Payne, K. (2017). The broken ladder: How inequality affects the way we think, live, and die. Penguin. |
[65] | Rao, L. L., & Li, S. (2011). New paradoxes in intertemporal choice. Judgment and Decision Making, 6(2), 122-129. |
[66] | Read, D. (2004). Intertemporal choice. In D. J. Koehler & N. Harvey (Eds.), Blackwell handbook of judgment and decision making (pp. 424-443). Blackwell Publishing. |
[67] |
Ren, T. H., Hu, Z. H., Sun, H. Y., Liu, Y., & Li, S. (2015). Making a decision vs. sticking to a decision: A comparison of intertemporal choice and delay of gratification. Advances in Psychological Science, 23(2), 303-315.
doi: 10.3724/SP.J.1042.2015.00303 URL |
[68] |
Shanock, L. R., Baran, B. E., Gentry, W. A., Pattison, S. C., & Heggestad, E. D. (2010). Polynomial regression with response surface analysis: A powerful approach for examining moderation and overcoming limitations of difference scores. Journal of Business and Psychology, 25(4), 543-554.
doi: 10.1007/s10869-010-9183-4 URL |
[69] | Shen, S. C., Huang, Y. N., Jiang, C. M., & Li, S. (2019). Can asymmetric subjective opportunity cost effect explain impatience in intertemporal choice? a replication study. Judgment and Decision Making, 14(2), 214-222. |
[70] |
Sun, H. L., Li, A. M., Shen, S. C., Xiong, G. X., Rao, L. L., Zheng, R., ... Li, S. (2020). Early departure, early revival: A ''free from care'' account of negative temporal discounting. Advances in Cognitive Psychology, 16(2), 103-116.
doi: 10.5709/acp-0289-0 URL |
[71] |
Sun, H. Y., & Jiang, C. M. (2016). Is intertemporal choice alternative-based or attribute-based?. Advances in Psychological Science, 24(3), 431-437.
doi: 10.3724/SP.J.1042.2016.00431 URL |
[72] | Sun, Q. R. (2014). In Yang, Z. F., & Wei, Q. W. (Eds), Chinese social psychological review (pp. 108-130). Beijing: Social Sciences Academic Press. |
[73] |
Tang, H., Zhou, K., Zhao, C. X., & Li, S. (2014). Suffering a loss is a blessing: Is it real gold or fool’s gold? Acta Psychologica Sinica, 46(10), 1549-1563.
doi: 10.3724/SP.J.1041.2014.01549 URL |
[74] | Tang, J. (2005). Socrates’ choices and legal belief——basic analysis of the dilemma and way-out of the legal popularization education in China. Justice of China, 11, 78-79. |
[75] |
Tang, Y. H., & Gu, J. L. (2017). Influence of cultural distance on the internationalization manuscript sources of top English scientific journals in China: Based on the empirical study of the most internationally influential English scientific journals in Chinese Academy of Sciences. Chinese Journal of Scientific and Technical Periodicals, 28(9), 865-871.
doi: 10.11946/cjstp.201706200494 |
[76] |
Tversky, A., & Shafir, E. (1992). The disjunction effect in choice under uncertainty. Psychological Science, 3(5), 305-310.
doi: 10.1111/j.1467-9280.1992.tb00678.x URL |
[77] |
Walumbwa, F. O., & Lawler, J. J. (2003). Building effective organizations: Transformational leadership, collectivist orientation, work- related attitudes and withdrawal behaviours in three emerging economies. The International Journal of Human Resource Management, 14(7), 1083-1101.
doi: 10.1080/0958519032000114219 URL |
[78] |
Wang, Y., Du, X.-L., Rao, L.-L., & Li, S. (2014). Probability expression for changeable and changeless uncertainties: An implicit test. Frontiers in Psychology, 5, 1313.
doi: 10.3389/fpsyg.2014.01313 pmid: 25431566 |
[79] | Wang, Y., Wei, Z. H., Shen, S. C., Wu, B., Cai, X. H., Guo, H., ... Li, S. (2015). The response of Chinese scholars to the question of “how did cooperative behavior evolve?”. Chinese Science Bulletin, 61(1), 20-33. |
[80] |
Weber, E. U., & Hsee, C. (1998). Cross-cultural differences in risk perception, but cross-cultural similarities in attitudes towards perceived risk. Management Science, 44(9), 1205-1217.
doi: 10.1287/mnsc.44.9.1205 URL |
[81] | Wen, R. M. (Ed). (2020). Compulsory education textbook · Chinese (Volume 2 of Grade 6) (p. 92). Beijing: People’s Education Press. |
[82] | Xinhua News Agency. (2020, May 23) Xinhua review: So long as green hills remain, assure success for the future. https://baijiahao.baidu.com/s?id=1667491482172729440 |
[83] |
Xu, J.-H., Ye, X.-B., & Li, S. (2009). Communication mode preference paradox among native Chinese speakers. Journal of Social Psychology, 149(1), 125-129.
doi: 10.3200/SOCP.149.1.125-130 URL |
[84] |
Xu, L., Liang, Z. Y., Wang, K., Li, S., & Jiang, T. (2009). Neural mechanism of intertemporal choice: From discounting future gains to future losses. Brain Research, 1261, 65-74.
doi: 10.1016/j.brainres.2008.12.061 pmid: 19185567 |
[85] |
Yates, J. F., Lee, J.-W., & Shinotsuka, H. (1996). Beliefs about overconfidence, including its cross-national variation. Organizational Behavior and Human Decision Processes, 65(2), 138-147.
doi: 10.1006/obhd.1996.0012 URL |
[86] | Yu, B. W. (1993). Thoughts of ‘Changeable’ in Zhou Yi. She Ke Zong Heng, 5, 23-26. |
[87] |
Zhang, K., & Li, S. (2019). The column solicitation notice of “Psychological characteristics and behavior of Chinese people in coping with historical crisis.” Acta Psychologica Sinica, 51(5), 637.
doi: 10.3724/SP.J.1041.2019.00637 URL |
[88] | Zhang, L., Lei, L., & Guo, B. L. (2003). Applied multilevel data analysis (pp. 11-27). Beijing: Educational Science Publishing House. |
[89] |
Zhang, Y. Y., Xu, L., Rao, L. L., Zhou, L., Zhou, Y., Jiang, T., ... Liang, Z. Y. (2016). Gain-loss asymmetry in neural correlates of temporal discounting: An approach-avoidance motivation perspective. Scientific Reports, 6, 31902.
doi: 10.1038/srep31902 URL |
[90] |
Zhang, Z. X. (2010). The contextualization and multilevel issues in research of organizational psychology. Acta Psychologica Sinica, 42(1), 10-21.
doi: 10.3724/SP.J.1041.2010.00010 URL |
[91] | Zhao, C. X., Shen, S. C., Li, Y., Liu, X., & Li, S. (2021). Effects of self- other decision-making on time-based intertemporal choice. Journal of Behavioral Decision Making. https://doi.org/10.1002/bdm.2248 |
[92] |
Zhao, C.-X., Shen, S.-C., Rao, L.-L., Zheng, R., Liu, H., & Li, S. (2018). Suffering a loss is good fortune: Myth or reality?. Journal of Behavioral Decision Making, 31, 324-340.
doi: 10.1002/bdm.2056 URL |
[93] |
Zheng, Y., Shen, S. C., Xu, M. X., Rao, L. L., & Li, S. (2019). Worth-based choice: Giving an offered smaller pear an even greater fictional value. Journal of Pacific Rim Psychology, 13, e10.
doi: 10.1017/prp.2019.4 URL |
[94] |
Zhou, L., Li, A. M., Zhang, L., Li, S., & Liang, Z. Y. (2019). Similarity in processes of risky choice and intertemporal choice: The case of certainty effect and immediacy effect. Acta Psychologica Sinica, 51(3), 337-352.
doi: 10.3724/SP.J.1041.2019.00337 URL |
[95] | Zhou, L. Yang, Y. & Li, S. (2021). Music-induced emotions influence intertemporal decision making. Cognition and Emotion, https://doi.org/10.1080/02699931.2021.1995331 |
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