How China’s Great Bay Area Policies Affect the National Identity of Hong Kong Youth—A Study of a Quasi-Natural Experiment Based on the Difference-in-Differences Model
Abstract
:1. Introduction
2. Theoretical Basis and Research Hypothesis
2.1. National Identity from the Perspective of Acculturation
2.2. The Effect of the GBA Policies on National Identity
2.3. The Role of Cultural Adaptation and Government Trust in Policy Effect
2.4. Heterogeneity of the Policy Effect among Groups
3. Research Design
3.1. Model Setting
3.2. Data Sources and Operated Variables
3.3. Descriptive Statistics
4. Empirical Analysis Results
4.1. Analysis Results Based on the DID Model
4.2. Robustness Test: Propensity Score Matching (PSM)-DID Model Results
4.2.1. Propensity Score Matching
4.2.2. Balance Diagnostics after Matching
4.2.3. Average Treatment Effect
4.2.4. Robustness Test of the Policy Effect
4.3. Analysis of the Mechanism of the Policy Effects
4.4. Robustness Testing of the Subjective Variables Explaining the Subjective Variables
4.5. Heterogeneity of the Policy Effect among Groups
5. Conclusions and Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Entire Sample | Control Group: HK Youth | Treatment Group: Mainland Youth (Except Those in Guangdong Province) | ||||
---|---|---|---|---|---|---|
Variable | M | %/SD | M | %/SD | M | %/SD |
Implementation of Bay Area Policy | 0.252 | 0.434 | 1 | 0 | 0 | 0 |
Time | 0.605 | 0.489 | 0.646 | 0.478 | 0.579 | 0.494 |
National identity | 3.163 | 0.631 | 3.007 | 0.617 | 3.263 | 0.619 |
Mainland Government Trust | 2.787 | 1.000 | 1.906 | 0.810 | 3.320 | 0.632 |
Administrative Cultural Distance | 5.156 | 6.360 | 4.227 | 5.572 | 5.750 | 6.751 |
Sex | 0.456 | 0.498 | 0.457 | 0.498 | 0.456 | 0.498 |
Employment Status | 0.751 | 0.433 | 0.763 | 0.426 | 0.743 | 0.437 |
Marital Status | 0.589 | 0.492 | 0.406 | 0.491 | 0.706 | 0.456 |
Age | 29.933 | 6.740 | 29.780 | 6.851 | 30.031 | 6.668 |
Income | 6.297 | 1.686 | 6.027 | 1.593 | 6.470 | 1.721 |
Social class | 2.583 | 0.839 | 2.856 | 0.870 | 2.408 | 0.770 |
Education level | 2.372 | 0.589 | 2.566 | 0.515 | 2.249 | 0.601 |
Self-assessed Feeling of Freedom | 6.785 | 1.833 | 6.509 | 1.693 | 6.960 | 1.896 |
Health Condition | 3.875 | 0.805 | 3.592 | 0.727 | 4.056 | 0.801 |
Life Satisfaction | 6.837 | 1.853 | 6.440 | 1.665 | 7.090 | 1.922 |
Post-materialist Values | 1.860 | 1.254 | 2.503 | 1.317 | 1.449 | 1.017 |
Explained Variable | National Identity | National Identity | Administrative Cultural Distance | Government Trust |
---|---|---|---|---|
Variable | Model 1 | Model 2 | Model 3 | Model 4 |
Time | −0.111 *** | −0.109 *** | 0.230 *** | 0.037 ** |
(Based on 2014) | (0.028) | (0.029) | (0.310) | (0.032) |
Implementation of the Policies | −0.280 *** | −0.234 *** | 0.029 | −0.690 *** |
(Mainland as the Control Group) | (0.037) | (0.040) | (0.432) | (0.050) |
Interactive Term | 0.127 *** | 0.141 *** | −0.142 *** | 0.089 *** |
(Time × Implementation of the Policies) | (0.047) | (0.048) | (0.479) | (0.056) |
Sex | 0.022 | 0.046 ** | 0.023 * | |
(0.023) | (0.231) | (0.026) | ||
Age | 0.038 | −0.003 | 0.022 | |
(0.002) | (0.023) | (0.003) | ||
Income | 0.018 | −0.024 | −0.002 | |
(0.008) | (0.093) | (0.009) | ||
Social Class | −0.014 | −0.056 ** | 0.040 ** | |
(0.017) | (0.179) | (0.019) | ||
Employment Status | −0.061 *** | −0.001 | −0.042 *** | |
(0.037) | (0.388) | (0.043) | ||
Marital status | 0.024 | 0.031 | 0.036 * | |
(0.031) | (0.313) | (0.037) | ||
Education Level | 0.033 * | −0.088 *** | −0.040 *** | |
(0.021) | (0.230) | (0.024) | ||
Self-assessed Feeling of Freedom | 0.013 | 0.042 * | 0.007 | |
(0.008) | (0.080) | (0.009) | ||
Health Condition | 0.060 *** | 0.033 | 0.026 * | |
(0.016) | (0.160) | (0.019) | ||
Social Trust | 0.004 | −0.042 ** | 0.071 *** | |
(0.024) | (0.241) | (0.027) | ||
Life Satisfaction | 0.069 *** | 0.037 | 0.057 *** | |
(0.008) | (0.085) | (0.00901) | ||
Post-materialist Values | −0.064 *** | −0.003 | −0.107 *** | |
(0.010) | (0.095) | (0.011) | ||
Con | 3.343 *** | 2.852 *** | 4.749 *** | 2.923 *** |
(0.019) | (0.140) | (1.486) | (0.162) | |
R-sq | 0.046 | 0.066 | 0.062 | 0.532 |
F | 54.93 | 15.00 | 11.58 | 227.6 |
N | 3032 | 2946 | 2946 | 2946 |
Percent Bias | |||
---|---|---|---|
Variable | Before Matching | After Matching | Difference t-Test after Matching |
Sex | 6.6 | −1.8 | −0.32 |
Age | 8.4 | 1.0 | 0.19 |
Income | −29.1 | 2.1 | 0.41 |
Social Class | 54.8 | 1.7 | 0.34 |
Employment Status | 30.5 | −9.5 | −0.70 |
Marital Status | −56.4 | 6.1 | 1.09 |
Education Level | 55.9 | −4.0 | −0.80 |
Feeling of Freedom | −26.3 | 11.3 | 2.31 ** |
Health Condition | −69.2 | 15.1 | 2.82 *** |
Social Trust | −47.3 | 0.3 | 0.05 |
Life Satisfaction | −45.7 | 5.6 | 1.05 |
Post-materialist Values | 85.6 | 17.9 | 3.46 *** |
Group | Matching Method | Sample | Control Group | Treatment Group | Difference | Standard Error | T Value |
---|---|---|---|---|---|---|---|
1 | Unmatched | Unmatched | 3.263 | 3.007 | 0.256 | 0.023 | 10.991 *** |
2 | 1:1 nearest neighbor matching | ATT | 3.205 | 3.044 | 0.161 | 0.041 | 3.962 *** |
3 | 4:1 nearest neighbor matching | ATT | 3.232 | 3.018 | 0.213 | 0.029 | 7.284 *** |
4 | Caliper matching | ATT | 3.192 | 3.022 | 0.170 | 0.032 | 5.291 *** |
5 | Kernel matching | ATT | 3.343 | 2.987 | 0.356 | 0.035 | 10.119 *** |
6 | MDM | ATT | 3.204 | 3.021 | 0.182 | 0.031 | 5.908 *** |
Explained Variable | National Identity | National Identity | Administrative Cultural Distance | Government Trust |
---|---|---|---|---|
Variable | Model 5 | Model 6 | Model 7 | Model 8 |
Time (Based on 2014) | −0.162 *** (0.055) | −0.162 *** (0.055) | 0.187 *** (0.572) | 0.021 (0.063) |
Implementation of the Policies (Mainland as the Control Group) | −0.252 *** (0.048) | −0.243 *** (0.049) | −0.012 (0.541) | −0.676 *** (0.065) |
Interactive Term (Time×Implementation of the Policies) | 0.191 *** (0.068) | 0.202 *** (0.067) | −0.112 * (0.678) | 0.133 *** (0.079) |
Cons | 3.332 *** (0.036) | 2.995 *** (0.201) | 4.867 ** (2.036) | 3.063 *** (0.255) |
Control variable | Uncontrolled | Controlled | Controlled | Controlled |
R2 | 0.031 | 0.047 | 0.047 | 0.450 |
F | 20.90 | 6.055 | 4.587 | 103.9 |
N | 1536 | 1536 | 1536 | 1536 |
1 | 2 | 3 | |
---|---|---|---|
1. National Identity | 1.00 | ||
2. Government Trust | 0.240 *** | 1.00 | |
3. Administrative Cultural Distance | 0.041 ** | 0.064 *** | 1.00 |
Goodness-of-Fit Index | Value | Evaluation Criterion |
---|---|---|
χ2/df | 4.761 | <5 |
RMSEA | 0.035 | <0.08 |
SRMR | 0.008 | <0.05 |
CFI | 0.998 | >0.9 |
TLI | 0.982 | >0.9 |
AIC | 40,087.673 | |
BIC | 40,189.962 |
Explained Variable | Mainland Government Trust | Mainland Government Trust | National Identity | National Identity |
---|---|---|---|---|
Variable | Model 9 | Model 10 | Model 11 | Model 12 |
Administrative Cultural Distance | −0.036 *** | −0.030 ** | ||
(0.002) | (0.002) | |||
Mainland Government Trust | 0.185 *** | 0.171 *** | ||
(0.018) | (0.018) | |||
Time | 0.046 *** | 0.041 *** | −0.116 *** | −0.118 *** |
(Taking the Year of 2014 as a Reference) | (0.032) | (0.032) | (0.028) | (0.028) |
Bay Area Policy Implementation | −0.689 *** | −0.724 *** | −0.106 *** | −0.139 *** |
(with the Mainland as the Reference Group) | (0.050) | (0.050) | (0.044) | (0.046) |
Interaction Term | 0.084 *** | 0.087 *** | 0.124 *** | 0.125 *** |
(Time × Bay Area Policy Implementation) | (0.056) | (0.056) | (0.047) | (0.047) |
Trust Tendency | 0.104 *** | 0.071 *** | ||
(0.018) | (0.016) | |||
Other Controlled Variables | Controlled | Controlled | Controlled | Controlled |
_cons | 2.950 *** | 3.067 *** | 2.510 *** | 2.584 *** |
(0.162) | (0.160) | (0.152) | (0.153) | |
R-sq | 0.534 | 0.543 | 0.082 | 0.087 |
F | 214.3 | 212.3 | 16.37 | 16.10 |
N | 2946 | 2938 | 2946 | 2938 |
Explained Variable | Employed | Unemployed |
---|---|---|
Variable | Model 13 | Model 14 |
Time (Based on 2014) | −0.109 *** (0.031) | −0.154 *** (0.076) |
Implementation of the Policies (Mainland as the Control Group) | −0.247 *** (0.044) | −0.203 *** (0.094) |
Interactive Term (Time × Implementation of the Policies) | 0.143 *** (0.053) | 0.154 * (0.113) |
Cons | 2.644 *** (0.156) | 3.547 *** (0.379) |
Control variable | Controlled | Controlled |
R2 | 0.071 | 0.083 |
F | 14.16 *** | 3.870 *** |
N | 2482 | 464 |
Explained Variable | Public Sector and NGOs | For-Profit Private Sector |
---|---|---|
Variable | Model 15 | Model 16 |
Time (Based on 2014) | 0.048 (0.070) | −0.123 *** (0.050) |
Implementation of the Policies (Mainland as the Control Group) | −0.101 (0.0809) | −0.294 *** (0.066) |
Interactive Term (Time × Implementation of the Policies) | 0.039 (0.108) | 0.225 *** (0.077) |
Cons | 1.790 *** (0.319) | 2.612 *** (0.225) |
Control Variable | Controlled | Controlled |
R2 | 0.096 | 0.073 |
F | 4.256 *** | 6.178 *** |
N | 515 | 1061 |
Group | Lower-Class Group | Middle-and Upper-Class Group |
---|---|---|
Variables | Model 17 | Model 18 |
Time (based on 2014) | −0.142 *** (0.042) | −0.0786 ** (0.039) |
Implementation of the Policies (Mainland as the Reference group) | −0.196 *** (0.074) | −0.249 *** (0.048) |
Interaction Items (Time × Implementation of the Policies) | 0.116 ** (0.090) | 0.137 *** (0.059) |
Cons | 2.738 *** (0.206) | 2.821 *** (0.163) |
Control Variables | Controlled | Controlled |
R2 | 0.0592 | 0.0768 |
F | 5.775 | 10.84 |
N | 1222 | 1724 |
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Fu, C.; Liao, L.; Mo, T.; Chen, X. How China’s Great Bay Area Policies Affect the National Identity of Hong Kong Youth—A Study of a Quasi-Natural Experiment Based on the Difference-in-Differences Model. Behav. Sci. 2023, 13, 644. https://doi.org/10.3390/bs13080644
Fu C, Liao L, Mo T, Chen X. How China’s Great Bay Area Policies Affect the National Identity of Hong Kong Youth—A Study of a Quasi-Natural Experiment Based on the Difference-in-Differences Model. Behavioral Sciences. 2023; 13(8):644. https://doi.org/10.3390/bs13080644
Chicago/Turabian StyleFu, Chengzhe, Liao Liao, Tingyang Mo, and Xiaoqing Chen. 2023. "How China’s Great Bay Area Policies Affect the National Identity of Hong Kong Youth—A Study of a Quasi-Natural Experiment Based on the Difference-in-Differences Model" Behavioral Sciences 13, no. 8: 644. https://doi.org/10.3390/bs13080644
APA StyleFu, C., Liao, L., Mo, T., & Chen, X. (2023). How China’s Great Bay Area Policies Affect the National Identity of Hong Kong Youth—A Study of a Quasi-Natural Experiment Based on the Difference-in-Differences Model. Behavioral Sciences, 13(8), 644. https://doi.org/10.3390/bs13080644