Institutional Pension Insurance in Sustainable Development of Urban–Rural Intergenerational Support
Abstract
:1. Introduction
2. Materials and Methods
2.1. Research Framework
2.2. Source of Data
2.3. Econometric Model Setting
2.4. Description of Variables and Descriptive Statistics
2.4.1. Explained Variable
2.4.2. Key Explanatory Variables
2.4.3. Intermediary Mechanism Variables
2.4.4. Control Variables
3. Results
3.1. Basic Regression Results
3.2. Endogeneity Test
4. Discussion
4.1. Mechanisms
4.1.1. Test of Paternal Labor Supply
4.1.2. Testing of Children’s Upward Intergenerational Support
4.2. Heterogeneous Analysis
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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2012 | 2016 | 2018 | Mean | |||||
---|---|---|---|---|---|---|---|---|
Quartile | Urban | Rural | Urban | Rural | Urban | Rural | Urban | Rural |
5% | 60 | 55 | 92 | 70 | 102 | 88 | 89 | 55 |
25% | 960 | 55 | 1478 | 70 | 1781 | 88 | 1400 | 74 |
50% | 1521 | 60 | 2125 | 78 | 2404 | 88 | 2048 | 88 |
75% | 2100 | 180 | 2956 | 106 | 3295 | 125 | 2864 | 120 |
95% | 3200 | 1300 | 4341 | 1293 | 4862 | 1514 | 4453 | 1425 |
Mean | 1560 | 230 | 2273 | 263 | 2554 | 321 | 2231 | 280 |
Variable Name | Define | Urban Samples (n = 4158) | Rural Samples (n = 8176) | ||
---|---|---|---|---|---|
Mean | Standard Deviation | Mean | Standard Deviation | ||
Explained variable | |||||
Time support (from parents to children) | 1 = supply, 0 = do not supply | 0.45 | 0.50 | 0.48 | 0.50 |
Monetary support (from parents to children) | 1 = supply, 0 = do not supply | 0.34 | 0.47 | 0.11 | 0.31 |
Intermediary mechanism variables | |||||
Labor participation | 1 = participate, 0 = do not participate | 0.14 | 0.35 | 0.49 | 0.50 |
Labor time | hour/week | 7.78 | 19.0 | 20.0 | 24.2 |
time support (from children to parents) | 1 = yes, 0 = no | 0.24 | 0.43 | 0.42 | 0.49 |
Monetary support (from children to parents) | 1 = yes, 0 = no | 0.35 | 0.48 | 0.56 | 0.50 |
Key explanatory variables | |||||
Pension income | CNY/month | 2231 | 1508 | 280 | 516 |
Control variables | |||||
Age | Years | 68.6 | 6.74 | 68.3 | 6.00 |
Gender | 1 = male; 0 = female | 0.53 | 0.50 | 0.50 | 0.50 |
Marital status | 1 = nuptial; 0 = others | 0.82 | 0.39 | 0.77 | 0.42 |
Mobility disability | 1 = yes; 0 = no | 0.09 | 0.28 | 0.14 | 0.34 |
Have medical insurance | 1 = yes; 0 = no | 0.91 | 0.29 | 0.95 | 0.22 |
Educational attainment | Years | 7.24 | 4.67 | 3.19 | 3.85 |
Urban dwellers | 1 = urban; 0 = rural | 0.85 | 0.35 | 0.30 | 0.46 |
Number of children | 1.53 | 0.87 | 1.82 | 1.12 | |
Gender structure of children | son/daughter | 0.65 | 0.42 | 0.76 | 0.34 |
Educational attainment of children | Years | 11.9 | 3.48 | 8.08 | 3.73 |
Any children married | 1 = yes; 0 = no | 0.48 | 0.50 | 0.55 | 0.50 |
Age of children | Years | 40.6 | 7.24 | 40.3 | 6.69 |
Family assets | CNY ten thousand | 10.9 | 22.3 | 2.77 | 7.61 |
Family debt | CNY ten thousand | 1.59 | 7.54 | 1.52 | 5.49 |
Family size | 3.83 | 1.84 | 4.56 | 2.08 | |
Separated or not | 1 = yes; 0 = no | 0.37 | 0.48 | 0.28 | 0.45 |
Urban Samples | Rural Samples | |||
---|---|---|---|---|
Pension Income Groups | Time Support | Monetary Support | Time Support | Monetary Support |
<20% | 45.4 | 14.3 | 38.6 | 6.7 |
20–40% | 41.6 | 17.7 | 56.6 | 11.6 |
40–60% | 47.5 | 27.9 | 52.0 | 11.1 |
60–80% | 44.9 | 25.5 | 47.4 | 12.3 |
>80% | 47.5 | 34.4 | 44.8 | 13.8 |
Rural Samples | Urban Samples | |||
---|---|---|---|---|
(1) | (2) | (3) | (4) | |
Time Support | Monetary Support | Time Support | Monetary Support | |
Pension income | 0.042 ** | 0.146 *** | −0.073 ** | 0.232 *** |
(2.163) | (6.118) | (−2.535) | (6.149) | |
Age | −0.034 *** | 0.003 | −0.029 *** | −0.007 |
(−7.318) | (0.468) | (−3.949) | (−0.745) | |
Gender | −0.159 *** | 0.103 ** | −0.145 *** | 0.027 |
(−4.087) | (2.030) | (−2.638) | (0.410) | |
Marital status | −0.218*** | −0.019 | −0.035 | −0.064 |
(−4.699) | (−0.310) | (−0.491) | (−0.742) | |
Mobility disability | 0.067 | −0.130 * | 0.101 | 0.013 |
(1.274) | (−1.743) | (1.148) | (0.121) | |
Have medical insurance | 0.163 ** | −0.152 | 0.045 | 0.008 |
(2.191) | (−1.640) | (0.549) | (0.082) | |
Educational attainment | 0.002 | 0.015 ** | 0.012 * | 0.030 *** |
(0.450) | (2.278) | (1.861) | (3.815) | |
Urban and rural (1 for urban areas) | 0.091 ** | 0.058 | 0.139 * | −0.108 |
(2.275) | (1.109) | (1.848) | (−1.212) | |
Number of children | −0.007 | 0.073 *** | −0.147 *** | 0.046 |
(−0.346) | (2.907) | (−4.315) | (1.235) | |
Gender structure of children | 0.007 | −0.069 | −0.024 | 0.0162 |
(0.126) | (−0.949) | (−0.404) | (0.221) | |
Educational attainment of children | −0.004 | 0.001 | −0.003 | −0.041 *** |
(−0.705) | (0.147) | (−0.325) | (−3.758) | |
Any children married | 0.077 | 0.052 | 0.225 *** | 0.130 * |
(1.625) | (0.895) | (3.591) | (1.825) | |
Age of children | −0.003 | −0.030 *** | −0.006 | −0.007 |
(−0.781) | (−5.513) | (−0.901) | (−0.845) | |
Family assets | 0.022 *** | 0.018 *** | 0.025 *** | 0.016 * |
(4.244) | (2.653) | (3.524) | (1.906) | |
Family debt | 0.062 | 0.150 * | 0.003 | 0.144 |
(0.904) | (1.754) | (0.039) | (1.467) | |
Family size | 0.158 *** | −0.024 | 0.187 *** | −0.018 |
(13.090) | (−1.551) | (9.119) | (−0.735) | |
Separated or not | −0.234 *** | −0.392 *** | −0.300 *** | −0.301 *** |
(−4.365) | (−5.513) | (−3.955) | (−3.321) | |
Time virtualization | Control | control | control | control |
Area virtualization | Control | control | control | control |
Wald chi2 | 271.871 | 852.792 | 494.56 | 260.63 |
Observations | 8176 | 8176 | 4158 | 4158 |
Rural Samples | Urban Samples | |||||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
First Stage | Time Support | Monetary Support | First Stage | Time Support | Monetary Support | |
Pension income | −0.081 | 0.364 ** | −0.193 | 0.038 | ||
(−0.742) | (2.388) | (−0.951) | (0.168) | |||
Provincial average pensions | 0.002 *** | 0.001 *** | ||||
(14.13) | (7.829) | |||||
Exogenous Wald test | 1.310 (p = 0.256) | 2.130 (p = 0.144) | 0.432 (p = 0.513) | 0.561 (p = 0.455) | ||
Observations | 8176 | 8176 | 8176 | 4158 | 4158 | 4158 |
Rural Samples | Urban Samples | |||
---|---|---|---|---|
(1) | (2) | (3) | (4) | |
Time Support (Panel, Probit) | Monetary Support (Panel, Probit) | Labor Participation (Panel, Probit) | Working Hours (Panel, Tobit) | |
Pension income | −0.159 *** | −2.695 *** | −0.246 *** | −7.845 *** |
(−7.273) | (−5.540) | (−5.382) | (−5.649) | |
Year fixed effect | control | control | control | control |
Province fixed effect | control | control | control | control |
Observations | 8176 | 8176 | 4158 | 4158 |
Rural Samples | Urban Samples | |||
---|---|---|---|---|
(1) | (2) | (3) | (4) | |
Time Support | Monetary Support | Time Support | Monetary Support | |
Pension income | −0.008 | −0.041 *** | −0.011 | −0.084 *** |
(−1.295) | (−6.869) | (−1.295) | (−10.410) | |
Time virtual | control | control | Control | control |
Regional virtual | control | control | Control | control |
Observations | 8176 | 8176 | 4158 | 4158 |
Rural Samples | Urban Samples | |||
---|---|---|---|---|
(1) | (2) | (3) | (4) | |
Rural Samples | Urban Samples | Rural Samples | Urban Samples | |
Part I: Low-savings group | ||||
Pension income | 0.031 | 0.204 *** | 0.036 | 0.267 *** |
(0.749) | (4.276) | (0.817) | (3.891) | |
Observed value | 2725 | 2725 | 1386 | 1386 |
Part Ⅱ: High-savings group | ||||
Pension income | 0.102 *** | 0.115 *** | −0.154 ** | 0.333 *** |
(3.069) | (3.136) | (−1.978) | (3.486) | |
Observations | 2725 | 2725 | 1386 | 1386 |
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Kang, C.; Cheng, M.; Wei, X. Institutional Pension Insurance in Sustainable Development of Urban–Rural Intergenerational Support. Agriculture 2024, 14, 430. https://doi.org/10.3390/agriculture14030430
Kang C, Cheng M, Wei X. Institutional Pension Insurance in Sustainable Development of Urban–Rural Intergenerational Support. Agriculture. 2024; 14(3):430. https://doi.org/10.3390/agriculture14030430
Chicago/Turabian StyleKang, Chen, Mingwang Cheng, and Xinyu Wei. 2024. "Institutional Pension Insurance in Sustainable Development of Urban–Rural Intergenerational Support" Agriculture 14, no. 3: 430. https://doi.org/10.3390/agriculture14030430
APA StyleKang, C., Cheng, M., & Wei, X. (2024). Institutional Pension Insurance in Sustainable Development of Urban–Rural Intergenerational Support. Agriculture, 14(3), 430. https://doi.org/10.3390/agriculture14030430