中国城市群人口老龄化时空格局

doi:10.11821/dlxb201706005

Abstract

Abstract:

Aging and urbanization are two major population issues currently facing the world. Urban agglomeration is an advanced form of urbanization that encompasses the spatial organization of cities within a specific geographical area, and in which the process of aging differs from that in other regions. Based on county-specific data from population surveys in 2000 and 2010, we determined the spatial patterns and variations of aging populations in 20 urban agglomerations in China using geographical detector-based and coefficient of variation methods. We also examined the contributing factors of population aging variability. Results demonstrated that in 2000, older people accounted for 7.32% of the urban agglomeration demographic structure, with 12 of the 20 urban agglomerations defined as adult-type populations. In 2010, however, older people accounted for 9.00% of the urban agglomeration demographic structure and, except for those in the Pearl River Delta and Ningxia areas along the Yellow River, all the urban agglomerations entered the elderly population stage. Moreover, high-age and moderately high-age regions expanded towards inland urban agglomerations, with population aging increasing obviously and population type changing from adult to aging. In addition, significant regional differences in the incremental increases in the number of older people and growth rates of the aging populations existed in the urban agglomerations. Low-age and high-age regions had smaller increments and growth rates, whereas moderately low-age, mid-age, and moderately high-age regions had greater increments and growth rates, indicating a declining aging rate in the order of regional, national, and local urban agglomerations. Within each urban agglomeration, the distribution pattern of aging showed the coexistence of uplift and collapse. The distribution pattern of aging within national urban agglomerations changed from an increasing to collapsing structure, and population aging in central China reduced. Conversely, regional urban agglomerations changed from a homogeneous to an increasing structure, and population aging in the central region increased. Population aging of urban agglomerations was the result of internal and external factors, with changes in base period aging, population age structure, and population fluidity being the predominant factors. Universal uplift of the population age structure was a key factor affecting aging and population types in urban agglomerations. Furthermore, low-age population immigration into urban agglomerations had a "diluting effect" on population aging, and aggregation and diffusion effects caused by different development stages of urban agglomeration played important roles in aging and population migration.

Key words: urban agglomeration, population ageing, spatial-temporal patterns, influencing factors, geographical detector tool, China

Lucang WANG, Rongwei WU, Wei LI. Spatial-temporal patterns of population aging on China's urban agglomerations[J].Acta Geographica Sinica, 2017, 72(6): 1001-1016.

Figures/Tables 7

Fig. 1

Tab. 1

Fig. 2

Tab. 2

Tab. 3

Decisive power of contributing factors of urban agglomerations on population aging

城市群	决定力/ 显著性水平	初期老龄化水平(LLH₂₀₀₀)	2000年55~65岁人口比例(LL)	生育水平(SY)	迁入率(QRB)	迁出率(QCB)	人均GDP(PGDP)	人均病床数(YL)	人均受教育年限(EDU)
2010年城市群静态水平	决定力	0.5080	0.5966	0.0270	0.0931	0.1296	0.0136	0.0374	0.0840
2010年城市群静态水平	显著性水平	0.000	0.000	0.2336	0.000	0.000	0.6579	0.0028	0.000
2000-2010年间年城市群动态水平	决定力	0.0044	0.3141	0.0089	0.1431	0.2296	0.0680	0.0146	0.1144
2000-2010年间年城市群动态水平	显著性水平	0.4683	0.000	0.1332	0.000	0.000	0.000	0.0303	0.000
京津冀城市群	决定力	0.007	0.389	0.011	0.017	0.368	0.098	0.023	0.008
京津冀城市群	显著性水平	0.782	0.000	0.624	0.528	0.000	0.006	0.574	0.732
长三角城市群	决定力	0.156	0.462	0.194	0.345	0.151	0.214	0.029	0.174
长三角城市群	显著性水平	0.027	0.000	0.000	0.000	0.032	0.000	0.367	0.003
珠三角城市群	决定力	0.082	0.233	0.297	0.376	0.281	0.113	0.129	0.304
珠三角城市群	显著性水平	0.430	0.147	0.100	0.021	0.200	0.314	0.389	0.060
成渝城市群	决定力	0.003	0.076	0.205	0.355	0.418	0.209	0.075	0.361
成渝城市群	显著性水平	0.935	0.056	0.000	0.000	0.000	0.000	0.043	0.000
江淮城市群	决定力	0.037	0.152	0.236	0.191	0.302	0.121	0.172	0.235
江淮城市群	显著性水平	0.558	0.146	0.014	0.052	0.008	0.163	0.221	0.024
长江中游城市群	决定力	0.011	0.259	0.137	0.035	0.271	0.007	0.005	0.005
长江中游城市群	显著性水平	0.542	0.000	0.000	0.251	0.000	0.742	0.810	0.793
哈大长城市群	决定力	0.089	0.426	0.123	0.108	0.071	0.013	0.163	0.154
哈大长城市群	显著性水平	0.063	0.000	0.244	0.522	0.103	0.999	0.344	0.526
黔中城市群	决定力	0.014	0.299	0.307	0.085	0.130	0.199	0.030	0.030
黔中城市群	显著性水平	0.844	0.044	0.031	0.672	0.269	0.068	0.816	0.871
中原城市群	决定力	0.032	0.378	0.108	0.112	0.188	0.013	0.174	0.214
中原城市群	显著性水平	0.468	0.000	0.172	0.182	0.010	0.710	0.057	0.036
山东城市群	决定力	0.071	0.315	0.156	0.039	0.062	0.156	0.122	0.059
山东城市群	显著性水平	0.238	0.006	0.008	0.473	0.181	0.072	0.090	0.165
关中城市群	决定力	0.124	0.192	0.019	0.168	0.257	0.180	0.008	0.056
关中城市群	显著性水平	0.202	0.078	0.964	0.508	0.135	0.148	0.955	0.866
辽中南城市群	决定力	0.025	0.297	0.151	0.206	0.006	0.009	0.110	0.067
辽中南城市群	显著性水平	0.790	0.043	0.146	0.409	0.906	0.933	0.516	0.557

Tab. 3

Tab. 4

Tab. 5

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类别	名称	老龄化程度				10年间老龄化变化
类别	名称	2000年			2010年	增量	增速(%)
国家级城市群	长江三角洲城市群	9.87	老年型Ⅰ期(L₁)	10.35	老年型Ⅱ期(L₂)	0.48	4.83
	珠江三角洲城市群	4.80	成年型Ⅰ期(C₁)	5.07	成年型Ⅰ期(C₁)	0.27	5.70
	京津冀城市群	7.66	成年型Ⅱ期(C₂)	8.59	老年型Ⅰ期(L₁)	0.93	12.17
	长江中游城市群	6.76	成年型Ⅱ期(C₂)	8.91	老年型Ⅰ期(L₁)	2.15	31.81
	成渝城市群	7.94	老年型Ⅰ期(L₁)	11.52	老年型Ⅱ期(L₂)	3.58	45.07
区域性城市群	哈长城市群	5.85	成年型Ⅱ期(C₂)	8.15	老年型Ⅰ期(L₁)	2.30	39.35
	辽中南城市群	8.00	老年型Ⅰ期(L₁)	10.35	老年型Ⅱ期(L₂)	2.35	29.38
	山东半岛城市群	8.68	老年型Ⅰ期(L₁)	10.28	老年型Ⅱ期(L₂)	1.60	18.40
	江淮城市群	7.51	老年型Ⅰ期(L₁)	10.14	老年型Ⅱ期(L₂)	2.64	35.10
	中原城市群	7.24	老年型Ⅰ期(L₁)	8.05	老年型Ⅰ期(L₁)	0.81	11.17
	海峡西岸城市群	6.73	成年型II期(C₂)	7.38	老年型Ⅰ期(L₁)	0.66	9.75
	关中城市群	5.98	成年型Ⅱ期(C₂)	8.50	老年型Ⅰ期(L₁)	2.52	42.05
	广西北部湾城市群	7.23	老年型Ⅰ期(L₁)	8.94	老年型Ⅰ期(L₁)	1.71	23.62
	天山北坡城市群	4.98	成年型Ⅰ期(C₁)	8.51	老年型Ⅰ期(L₁)	3.53	70.96
地区性城市群	晋中城市群	6.84	成年型Ⅱ期(C₂)	8.07	老年型Ⅰ期(L₁)	1.23	18.05
	兰西城市群	5.16	成年型Ⅱ期(C₂)	8.05	老年型Ⅰ期(L₁)	2.89	56.09
	呼包鄂榆城市群	6.04	成年型Ⅱ期(C₂)	7.03	老年型Ⅰ期(L₁)	0.99	16.33
	滇中城市群	6.42	成年型Ⅱ期(C₂)	8.12	老年型Ⅰ期(L1)	1.71	26.59
	黔中城市群	6.14	成年型Ⅱ期(C₂)	8.82	老年型Ⅰ期(L₁)	2.69	43.80
	宁夏沿黄城市群	4.56	成年型Ⅰ期(C₁)	6.31	成年型II期(C₂)	1.75	38.35

	PGDP	YL	EDU	QRB	QCB	LL	LLH₂₀₀₀	SY
LLH₂₀₀₀	0.0270
SY	0.0642	0.0136
GDP	0.0855	0.0732	0.0374
YL	0.2399	0.1296	0.1813	0.0840
EDU	0.2198	0.1249	0.1554	0.1535	0.0931
QRB	0.2410	0.1789	0.1971	0.2091	0.2438	0.1296
QCB	0.6391	0.6431	0.6180	0.6612	0.6781	0.6534	0.5966
LL	0.5275	0.5516	0.5250	0.5865	0.6098	0.6251	0.7349	0.5080

	初期老龄化水平(LLH)*	55~65岁人口比例(LL)*	生育水平 (SY)*	迁入率(QRB)**	迁出率 (QCB)**	人均GDP (PGDP)**	人均病床数(YL)**	人均受教育年限(EDU)**
京津冀城市群	0.3097	0.3982	0.0523	0.0257	0.0257	0.0035	0.1191	0.0106
京津冀城市群	0.007	0.389	0.011	0.017	0.368	0.098	0.023	0.008
差值	-0.3027	-0.0092	-0.0413	-0.0087	0.3423	0.0945	-0.0961	-0.0026
长三角城市群	0.4594	0.2542	0.1255	0.1063	0.1141	0.0894	0.0174	0.063
长三角城市群	0.156	0.462	0.194	0.345	0.151	0.214	0.029	0.174
差值	-0.3034	0.2078	0.0685	0.2387	0.0369	0.1246	0.0116	0.111
珠三角城市群	0.4817	0.5958	0.6856	0.801	0.2226	0.2932	0.0349	0.3104
珠三角城市群	0.082	0.233	0.297	0.376	0.281	0.113	0.129	0.304
差值	-0.3997	-0.3628	-0.3886	-0.425	0.0584	-0.1802	0.0941	-0.0064
成渝城市群	0.4047	0.2818	0.2438	0.0183	0.0602	0.0457	0.0492	0.1019
成渝城市群	0.003	0.076	0.205	0.355	0.418	0.209	0.075	0.361
差值	-0.4017	-0.2058	-0.0388	0.3367	0.3578	0.1633	0.0258	0.2591
长江中游城市群	0.513	0.484	0.168	0.011	0.035	0.089	0.007	0.165
长江中游城市群	0.011	0.259	0.137	0.035	0.271	0.007	0.005	0.005
差值	-0.502	-0.225	-0.031	0.024	0.236	-0.082	-0.002	-0.16

阶段	要素特征	空间特征	老龄化态势	老龄化变化	老龄化效应
低发育阶段	要素以聚集为主,被吸附到中心城市,高度发达的中心城市与相对滞后的周边地区形成典型的二元结构。	圈层结构	中心城区吸引了大量本地人口迁入,外围地区向中心城区贡献了低龄人口。	非老龄化转化为轻度老龄化	就地老化
中等发育阶段	城市群核心区对外围地区的辐射作用开始显现,周边发展较好的区域逐渐成为城市群的次中心,分担着从核心区外迁的部分生产功能或居住功能,区域交通体系逐步将中心城市与周边地区连接起来。	单中心与多个次中心并存的结构	中心城区由于将低层次、劳动密集型产业大量外迁,集中发展更高层次的智力密集型产业,从而将外来青壮年人口拦截在外围区县,导致核心区老龄化水平偏高,而外围地区老龄化水平较低的态势。	轻度老龄化转向中度老龄化,核心区>外围地区	升级替变型/迁入稀释型
发育成熟阶段	城市群核心区与周边地区关系紧密,基础设施、土地利用、生态环境等方面形成了共建共享格局,要素流动频繁,中心城市与周边区县联系的网络化体系已经出现,形成超越城市、区县行政区界的相对完整的区域空间组织。	网络结构	无论是城市群核心区,还是外围地区,都能均衡发展,对于外来人口的吸引力并无明显差异,而人口结构仍在不断演替,两者均处在高老龄化状,但老年人口向郊区处迁,导致中心区老龄化水平降低	中心区塌缩(由重度老龄化转向中度老龄化)	迁出塌缩型

Spatial-temporal patterns of population aging on China's urban agglomerations

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