The Choice of Pension Model and Its Determinants for Only-child Parents in Urban Northeast China: An Empirical Analysis Based on Binary Logistic Regression Model

Figure 1.

Statistical distribution of frequency

Item	Frequency	Percentage	Cumulative percentage
Family pension model	78	50.00%	50.00%
Institutional pension model	20	12.82%	62.82%
Home-based community pension model	40	25.64%	88.46%
Sojourn pension model	18	11.54%	100.00%
Total	156	100.0%

Reliability statistics

Klonbach Alpha	Klonbach Alpha based on standardized terms	Number of terms
.910	.912	7

Binary logistic regression operation results of influencing factors of family pension mode

		B	Standard error	Wald	Degrees of freedom	Salience	Exp(B)	95% confidence interval for EXP(B)
								Lower bound	Upper limit
Step 1	Age	.741	.283	6.838	1	009 * * *	2.098	1.204	3.656
	Educational level	-.337	.260	1.685	1	.194	.714	.429	1.188
	Occupation	-.053	.222	.058	1	.810	.948	.614	1.465
	Marital status	-1.200	.471	6.482	1	011 * *	.301	.120	.759
	Physical health status	-.592	.273	4.701	1	030 * *	.553	.324	.945
	Sources of income	-.521	.416	1.568	1	.210	.594	.263	1.342
	Monthly income level	-.388	.225	2.980	1	.084	.678	.436	1.054
	Level of intergenerational support	-1.044	.433	5.804	1	016 * *	.352	.151	.823
	Old age living mode	-2.071	.713	8.427	1	004 * * *	.126	.031	.510
	Knowledge of institutional eldercare	-.334	.223	2.240	1	.134	.716	.463	1.109
	Acceptance of institutional care for the elderly	.034	.237	.021	1	.885	1.035	.650	1.647
	Acceptance of community aged care services	-.364	.269	1.835	1	.175	.695	.410	1.177
	Willingness to participate in community activities	-.413	.289	2.042	1	.153	.662	.376	1.166
	constant	12.090	2.767	19.089	1	.000	178115.070

Binary logistic regression operation results of influencing factors of the resident pension mode

		B	Standard error	Wald	Degrees of freedom	Salience	Exp(B)	95% confidence interval for EXP(B)
								Lower bound	Upper limit
Step 1	Age	-.533	.416	1.642	1	.200	.587	.260	1.326
	Literacy	.100	.336	.088	1	.767	1.105	.572	2.135
	Occupation	.283	.255	1.232	1	.267	1.327	.805	2.186
	Marital status	.429	.435	.970	1	.325	1.535	.654	3.602
	Physical health status	.280	.386	.527	1	.468	1.323	.621	2.819
	Source of income	.438	.472	.863	1	.353	1.550	.615	3.907
	Monthly income level	.757	.319	5.633	1	018 * *	2.132	1.141	3.985
	Intergenerational support level	.578	.668	.749	1	.387	1.782	.482	6.596
	Elderly living style	19.188	8000.814	.000	1	.998	215318461.497	.000	.
	The degree of understanding of institutional elderly care	-.016	.299	.003	1	.958	.984	.548	1.768
	Acceptance of institutional care for the elderly	.303	.347	.759	1	.384	1.353	.685	2.674
	Acceptance of community aged care services	.249	.452	.304	1	.581	1.283	.529	3.113
	Willingness to participate in community activities	.035	.430	.007	1	.935	1.036	.446	2.404
	Constant	-46.564	16001.628	.000	1	.998	.000

Explanation of total variance

Components	Original eigenvalue			Derive the quadratic sum of loads			Rotate the load sum of squares
	Total	Percent	Accumulation %	Total	Percent	Accumulation %	Total	Percent	Accumulation %
1	4.628	66.116	66.116	4.628	66.116	66.116	3.108	44.403	44.403
2	.817	11.665	77.780	.817	11.665	77.780	1.820	25.998	70.401
3	.599	8.555	86.335	.599	8.555	86.335	1.115	15.935	86.335
4	.383	5.473	91.809
5	.245	3.494	95.302
6	.179	2.550	97.852
7	.150	2.148	100.000

Binary logistic regression operation results of determinants of community-based old-age care mode

		B	Standard error	Wald	Degrees of freedom	Salience	Exp(B)	95%confidence interval for EXP(B)
								Lower bound	Upper limit
Step 1	Age	-.573	.364	2.482	1	.115	.564	.276	1.150
	Literacy	.301	.310	.947	1	.331	1.352	.737	2.480
	Occupation	-.199	.264	.567	1	.451	.819	.488	1.376
	Marital status	.634	.530	1.430	1	.232	1.884	.667	5.324
	Physical health status	.597	.306	3.808	1	.051	1.817	.997	3.311
	Source of income	-.255	.574	.198	1	.656	.775	.252	2.384
	Monthly income level	-.230	.277	.694	1	.405	.794	.462	1.366
	Level of intergenerational support	.887	.498	3.177	1	.075	2.428	.915	6.438
	Elderly living style	-.028	.675	.002	1	.967	.972	.259	3.649
	The degree of understanding of institutional elderly care	-.350	.262	1.775	1	.183	.705	.421	1.179
	Acceptance of institutional care for the elderly	-.617	.275	5.020	1	025 * *	.540	.315	.926
	Acceptance of community aged care services	1.012	.389	6.758	1	009 * * *	2.751	1.283	5.900
	Willingness to participate in community activities	.767	.374	4.199	1	040 * *	2.153	1.034	4.484
	Constant	-5.552	2.821	3.874	1	.049	.004

Hosmer-Lemeshow fit test

Steps	Chi-square value	Degree of freedom	Salience
1	5.052	8	.752

KMO and Bartlett tests

KMO measure of suitability for sampling		.881
Bartlett sphericity test	Approximate Chi-square	784.825
	Degrees of freedom	21
	Salience	.000

Binary logistic regression operation results of influencing factors of institutional old-age care mode

		B	Standard error	Wald	Degrees of freedom	Salience	Exp (B)	95%confidence interval for EXP(B)
								Lower bound	Upper limit
Step 1	Age	-.063	.388	.026	1	.871	.939	.439	2.009
	Educational level	-.018	.446	.002	1	.967	.982	.409	2.355
	Occupation	-.017	.354	.002	1	.961	.983	.491	1.968
	Marital status	1.709	.984	3.014	1	.083	5.521	.802	38.001
	Physical health status	-.997	.482	4.286	1	038 * *	.369	.143	.948
	Sources of income	.768	.644	1.421	1	.233	2.155	.610	7.612
	Monthly income level	.764	.376	4.128	1	042 * *	2.147	1.027	4.485
	Intergenerational support level	-.356	.746	.228	1	.633	.700	.162	3.022
	Elderly living style	20.731	6950.739	.000	1	.998	1008071734.936	.000	.
	The degree of understanding of institutional elderly care	2.149	.631	11.609	1	001 * * *	8.577	2.491	29.526
	Acceptance of institutional eldercare	1.316	.516	6.494	1	011 * *	3.728	1.355	10.257
	Acceptance of community aged care services	-1.271	.458	7.710	1	005 * * *	.280	.114	.688
	Willingness to participate in community activities	-.351	.470	.557	1	.456	.704	.280	1.770
	Constant	-52.597	13901.480	.000	1	.997	.000