江苏省人口老龄化空间分异演变及影响因素

doi:10.13249/j.cnki.sgs.2017.12.009

地理科学 ›› 2017, Vol. 37 ›› Issue (12): 1859-1866.doi: 10.13249/j.cnki.sgs.2017.12.009

江苏省人口老龄化空间分异演变及影响因素

许昕¹(), 赵媛^1,²(), 张新林¹, 张秀改¹

1.南京师范大学地理科学学院/江苏省地理信息资源开发与利用协同创新中心, 江苏南京 210023
2.南京师范大学金陵女子学院, 江苏南京 210097

收稿日期:2016-12-26 修回日期:2017-06-08 出版日期:2017-12-20 发布日期:2017-12-20
作者简介:
作者简介：许昕（1990-）,女,江苏省镇江人,博士研究生,主要研究方向为人口地理学与城市地理学。E-mail:xuxin199010@126.com
基金资助:
国家自然科学基金项目（41371518）、江苏省高校优势学科建设工程资助项目（地理学）资助

Spatial Variation of Population Aging and Associated Factors in Jiangsu Province

Xin Xu¹(), Yuan Zhao^1,²(), Xinlin Zhang¹, Xiugai Zhang¹

1. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, School of Geographic Science, Nanjing Normal University, Nanjing 210023, Jiangsu, China
2.Jinling College, Nanjing Normal University, Nanjing 210097, Jiangsu, China

Received:2016-12-26 Revised:2017-06-08 Online:2017-12-20 Published:2017-12-20
Supported by:
National Natural Science Foundation of China (41371518), A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (geography).

摘要/Abstract

摘要：

基于街镇尺度,运用2000和2010年全国人口普查资料,对江苏省人口老龄化空间分异演变特点及其影响因素进行分析。结果表明：① 老龄化整体上呈现“E”字型分布格局;区域老龄化类型差异变化显著;“乡镇-街道逆二元结构”凸显。② 空间集聚效应进一步“强化”,空间总体变异程度增强,结构性因素是引起空间变异的主要原因,随机性因素影响程度在增强。③ 成长型、老年型初期与老年型中期、老年型后期、超老年型表现出相反的重心偏移轨迹,成长型、老年型中期、老年型后期在空间上出现扩散效应,老年型初期出现极化效应。形成机制主要缘于自然因素、经济因素和社会因素。

关键词: 人口老龄化, 街镇尺度, 空间演变, 江苏省

Abstract:

Jiangsu is the first province to enter the aging society, and aging system has become one of the important topics for scholars in various fields to explore the aging system in China. Based on township-scale data in the 2000 and 2010 censuses, this study analyzed the spatial variation characteristics of population aging. The results are as follows. Firstly, the population aging of Jiangsu Province was characterized by “E” shaped structure. In the 10 years, the elderly population in the north of Jiangsu was growing rapidly, aging phenomenon has become increasingly prominent, the population aging in the south of Jiangsu has slight change and grow slowly, in the middle of Jiangsu was growing at a high speed. The differences of regional aging types change significantly, south of Jiangsu change from the early stage of the elderly to the late stage of the elderly, the middle of Jiangsu change from the middle stage of the elderly to the super aging stage, the north of Jiangsu change from not aging to the middle stage of the elderly. “Township-Street” inverse dual structure become prominent, the level of street is lower than the level of township. Secondly, the effect of spatial agglomeration is further strengthened, spatial development is not balanced. Nantong is the hottest zone which expand to northwest, and the cold zone evolve toward to Southeast then meet in the Nanjing metropolitan area and Suzhou Wuxi Changzhou metropolitan area. The degree of spatial variation is enhanced. The structural factors are the main reasons of spatial variability. The random factors are enhanced. Thirdly, the not aging, early stage of the elderly showed the opposite of the center of gravity migration trajectory to the middle stage of the elderly, the late stage of the elderly. The not aging, middle stage of the elderly, late stage of the elderly have the diffusion phenomenon, the early stage of the elderly has the polarization phenomenon. The formation mechanism is mainly due to natural factors, economic factors and social factors.

Key words: population aging, township-street scale, spatial evolution, Jiangsu Province

中图分类号:

K902

许昕, 赵媛, 张新林, 张秀改. 江苏省人口老龄化空间分异演变及影响因素[J]. 地理科学, 2017, 37(12): 1859-1866.

Xin Xu, Yuan Zhao, Xinlin Zhang, Xiugai Zhang. Spatial Variation of Population Aging and Associated Factors in Jiangsu Province[J]. SCIENTIA GEOGRAPHICA SINICA, 2017, 37(12): 1859-1866.

图/表 4

图1

表1

江苏省人口老龄化半变异函数拟合参数值"

年份	基台值（ $C 0 + C$ ）	块金值（）	块金系数（ $C 0 C 0 + C$ ）	变程（）	拟合模型
2000	0.001487	0.00027	0.181573	1891800	指数模型
2010	0.003321	0.00083	0.249925	1115100	指数模型

表1

表2

图2

参考文献 34

[1]	张景秋,刘欢,齐英茜,等.北京城市老年人居住环境及生活满意度分析[J].地理科学进展,2015,34(12):1628-1636. doi: 10.18306/dlkxjz.2015.12.011
	[Zhang Jingqiu, Liu Huan, Qi Yangxi et al. Living environment and life satisfaction of aged population in Beijing municipality. Progress in Geography, 2015,34(12):1628-1636.] doi: 10.18306/dlkxjz.2015.12.011
[2]	Blondal S, Scarpetta S.Falling participation rates among older workers in the OECD countries: The role of social security systems[C/OL]. [2015-11-04].Reforming the social security system: An international perspective. Rome:Italy,16-17 Mar 1998..
[3]	Gonzalez-Eiras M, Niepelt D.Ageing, government budgets, retirement, and growth[J]. European Economic Review, 2012, 56(1):97-115. doi: 10.1016/j.euroecorev.2011.05.007
[4]	Resnick B, Klinedinst N J, Yerges-Armstrong L et al. The impact of genetics on physical resilience and successful aging[J]. Journal of Aging and Health, 2015, 27(6):1084-1104. doi: 10.1177/0898264315577586 pmid: 25818147
[5]	Woo J, Lynn H, Lau W Y et al. Nutrient intake and psychological health in an elderly Chinese population[J]. International Journal of Geriatric Psychiatry, 2006, 21(11):1036-1043. doi: 10.1002/gps.1603 pmid: 16955432
[6]	Blazer D G.Social support and mortality in an elderly community population[J]. American Journal of Epidemiology, 1982, 115(5):684-694. doi: 10.1080/15298668191420620 pmid: 7081200
[7]	Krause N.Life stress, social support, and self-esteem in an elderly population[J]. Psychology & Aging, 1988, 2(4):349-356. doi: 10.1037//0882-7974.2.4.349 pmid: 3268227
[8]	Schwanen T, Páez A.The mobility of older people-an introduction[J]. Journal of Transport Geography, 2010, 18(5):591-595. doi: 10.1016/j.jtrangeo.2010.06.001
[9]	Rosenbloom S.Sustainability and automobility among the elderly: An international assessment[J]. Transportation, 2001, 28(4):375-408. doi: 10.1023/A:1011802707259
[10]	Rogers A, Watkins J F, Woodward J A.Interregional elderly migration and population redistribution in four industrialized countries. A comparative analysis[J]. Research on Aging: An International Bimonthly Journal, 1990, 12(3):251. doi: 10.1177/0164027590123001 pmid: 2236894
[11]	Cowgill D O.Residential segregation by age in American metropolitan areas[J]. Journal of Gerontology, 1978, 33(3):446. doi: 10.1093/geronj/33.3.446 pmid: 748440
[12]	Goodman A C.Using lorenz curves to characterise urban elderly populations[J]. Urban Studies, 1987, 24(1):77-80. doi: 10.1080/00420988720080071
[13]	单良,丁莉.中日人口老龄化的空间分布特征比较研究[J].中国人口科学,2013(4):89-96.
	[Shan Liang, Ding Li.Comparative Research on the feature of spatial distribution of aging population between China and Japan. Chinese Journal of Population Science, 2013(4):89-96.]
[14]	王志宝,孙铁山,张杰斐.人口老龄化区域类型划分与区域演变分析——以中美日韩四国为例[J].地理科学,2015,35(7):822-830. doi: 10.3724/SP.J.1011.2011.00415
	[Wang Zhibao, Sun Tieshan, Zhang Jiefei.Regional type’s division of population aging and analysis on population aging regional evolution: Based on China, American, Japan and R O Korea. Scientia Geographica Sinica, 2015, 35(7):822-830.] doi: 10.3724/SP.J.1011.2011.00415
[15]	陈明华,郝国彩.中国人口老龄化地区差异分解及影响因素研究[J].中国人口·资源与环境,2014, 24(4):136-141.
	[Chen Minghua, Hao Guocai.Research on regional difference decomposition and influence factors of population aging in China. China Population, Resources and Environment, 2014,24(4):136-141.]
[16]	王录仓,武荣伟,刘海猛,等.县域尺度下中国人口老龄化的空间格局与区域差异[J].地理科学进展,2016, 35(8):921-931. doi: 10.18306/dlkxjz.2016.08.001
	[Wang Lucang, Wu Rongwei, Liu Haimeng et al. Spatial pattern and regional difference of population ageing in China based on the county scale. Progress in Geography, 2016,35(8):921-931.] doi: 10.18306/dlkxjz.2016.08.001
[17]	康江江,丁志伟,张改素,等.中原地区人口老龄化的多尺度时空格局[J].经济地理, 2016, 36(4):29-37. doi: 10.15957/j.cnki.jjdl.2016.04.005
	[Kang Jiangjiang, Ding Zhiwei, Zhang Gaisu et al. Multi-scale spatio-temporal pattern of aging population in central plains region. Economic Geography,2016,36(4):29-37.] doi: 10.15957/j.cnki.jjdl.2016.04.005
[18]	张开洲,陈楠.1990~2010年福建省县域人口老龄化时空演变特征及其驱动机制[J].地理科学进展,2014, 33(5):605-615. doi: 10.11820/dlkxjz.2014.05.002
	[Zhang Kaizhou, Chen Nan.Characteristics of spatial-temporal evolution in population aging and driving mechanism at county level in Fujian province during 1990-2010. Progress in Geography, 2014,33(5):605-615.] doi: 10.11820/dlkxjz.2014.05.002
[19]	陈毅华,苏昌贵.基于六普数据的湖南省人口老龄化发展态势与对策研究[J].经济地理,2013, 33(1):21-26.
	[Chen Yihua, Su Changgui.The trend and policy analysis on population aging in human province based on the sixth national population census.Economic Geography, 2013,33(1):21-26.]
[20]	林琳,马飞.广州市人口老龄化的空间分布及趋势[J].地理研究, 2007,26(5):1043-1054. doi: 10.3321/j.issn:1000-0585.2007.05.021
	[Lin Lin, Ma Fei.Spatial distribution and trends of the aging of population in Guangzhou. Geographic Research, 2007,26(5):1043-1054.] doi: 10.3321/j.issn:1000-0585.2007.05.021
[21]	方瑜,欧阳志云,郑华,等.中国人口分布的自然成因[J].应用生态学报,2012,23(12):3488-3495.
	[Fang Yu, Ouyang Zhiyun, Zhen Hua et al. Natural forming causes of China population distribution. Chinese Journal of Applied Ecology, 2012, 23(12):3488-3495.]
[22]	国务院人口普查办公室,国家统计局人口和就业统计司.中国2000年人口普查分乡、镇、街道资料[M].北京:中国统计出版社,2002.
	[Population Census Office Under the State Council Department of Population,Employment Statistics National Bureau of Statistics. Tabulation on the 2000 Population Census of the People’s Republic of China By Township, Town, Street. Beijing: China Statistics Press,2002.]
[23]	国务院人口普查办公室,国家统计局人口和就业统计司.中国2010年人口普查分乡、镇、街道资料[M].北京:中国统计出版社,2012.
	[Population Census Office Under the State Council Department of Population, Employment Statistics National Bureau of Statistics.Tabulation on the 2010 Population Census of the People’s Republic of China By Township, Town, Street. Beijing: China Statistics Press,2012.]
[24]	潘竟虎. 中国地市级以上城市GDP含金量时空分异格局[J].地理科学,2015,35(12):1502-1510.
	[Pan Jinghu.Spatio-temporal pattern of gold content of GDP at prefecture level or cities above in China. Scientia Geographica Sinica,2015,35(12):1502-1510.]
[25]	马晓东,马荣华,徐建刚.基于ESDA-GIS的城镇群体空间结构[J].地理学报,2004,59(6):1048-1057. doi: 10.3321/j.issn:0375-5444.2004.06.029
	[Ma Xiaodong, Ma Ronghua, Xu Jiangang.Spatial structure of cities and towns with ESDA-GIS framework. Acta Geographica Sinica, 2004,59(6):1048-1057.] doi: 10.3321/j.issn:0375-5444.2004.06.029
[26]	徐建华,岳文泽,谈文琦.城市景观格局尺度效应的空间统计规律[J].地理学报,2004,59(6):1058-1067.
	[Xu Jianhua, Yue Wenze, Tan Wenqi.Spatial statistical regularity of scale effect of urban landscape pattern: A case study of central urban area of Shanghai. Acta Geographica Sinica, 2004,59(6):1058-1067.]
[27]	栾福明,张小雷,杨兆萍,等.1990~2011年山东省旅游节庆的时空变

类型	2000年				2010年
类型	沿轴标准差（km）		沿轴标准差（km）	方位角（°）	沿轴标准差（km）	沿轴标准差（km）	方位角（°）
G	0.797	0.904	141.946		1.364	1.347	140.036
A1	1.196	1.157	137.323		0.666	0.761	141.701
A2	0.614	0.743	112.345		1.314	1.319	139.913
A3	0.469	0.464	133.315		0.905	0.918	136.203
S	-	-	-		0.438	0.430	132.111

江苏省人口老龄化空间分异演变及影响因素

Spatial Variation of Population Aging and Associated Factors in Jiangsu Province

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