|Table of Contents|

Coupling Analysis of Population Structure and Economic Developmentin the Golden Triangle Area of the Yellow River(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2018年02期
Page:
120-
Research Field:
·地理学·
Publishing date:

Info

Title:
Coupling Analysis of Population Structure and Economic Developmentin the Golden Triangle Area of the Yellow River
Author(s):
Zhang Yu1; Yang Caiping2; Yao Yifeng1; Yi Ruixiang1; Yin Shanggang1
(1.School of Geography Science,Nanjing Normal University,Nanjing 210023,China)(2.Xinhuai High School,Huaian 223001,China)
Keywords:
population structure; economic development; spatio-temporal coupling; the golden triangle area of the Yellow River
PACS:
K901.3
DOI:
10.3969/j.issn.1001-4616.2018.02.021
Abstract:
This paper uses the gray relational analysis method to evaluate the interaction between population structure and economic development in the golden triangle area of the Yellow River. Based on this,the coupling coordination degree model is used to estimate the coupling degree and coordination degree of population structure and economic development in 47 counties. At the same time,this paper analyzes the change of the internal structure of the population structure and economic growth from the perspective of time and space. The results show that:(1)The comprehensive correlation between urban-rural structure and economic system is the highest and cultural structure has the least impact on economic development.(2)In economic development,the income level has the greatest impact on the population structure. In particular,the disposable income of urban residents has the greatest impact on the population structure.(3)During the study period the degree of coupling was low in this area. Low-level coupling phase of the area accounted for 74.4% and only Yima City and Salt Lake District rose from antagonistic phase to running-in phase. Areas in the stage of antagonism and running-in showed “T” type distribution.(4)The overall level of coordination between population structure and economic development in 2000-2010 is relatively low,but in the decade the low-coordinated coupling area has been reduced from 91.5% to 87.2%.

References:

[1] 史本叶. 我国人口结构变化对经济转型的影响[J]. 人口学刊,2016,38(4):17-24.
[2]赵文哲,董丽霞. 人口结构、储蓄与经济增长:基于跨国面板向量自回归方法的研究[J]. 国际金融研究,2013(9):29-42.
[3]汪静. 安徽省人口年龄结构特征及其社会经济影响研究[J]. 地理科学,2017,37(11):1728-1735.
[4]谭海鸣,姚余栋,郭树强,等. 老龄化、人口迁移、金融杠杆与经济长周期[J]. 经济研究,2016(2):69-81,96.
[5]蒲英霞,韩洪凌,葛莹,等. 中国省际人口迁移的多边效应机制分析[J]. 地理学报,2016,71(2):205-216.[6]NAGARAJAN N R,TEIXEIRA A A C,SILVA S T. The impact of an ageing population on economic growth:an exploratory review of the main mechanisms[J]. Análise social,2016,51(218):4-35.
[7]PRETTNER K. Population aging and endogenous economic growth[J]. Journal of population economics,2013,26(2):811-834.
[8]范洪敏,穆怀中. 中国人口结构与产业结构耦合分析[J]. 经济地理,2015,35(12):11-17.
[9]车士义,陈卫,郭琳. 中国经济增长中的人口红利[J]. 人口与经济,2011(3):16-23,77.
[10]刘国斌,杜云昊. 人口老龄化对县域经济的影响研究[J]. 人口学刊,2015,37(2):77-86.
[11]李晶晶,苗长虹. 长江经济带人口流动对区域经济差异的影响[J]. 地理学报,2017,72(2):197-212.
[12]梁向东,魏逸玭. 产业结构升级对中国人口流动的影响:基于255个城市的面板数据分析[J]. 财经理论与实践,2017,38(5):93-98.
[13]周艳,黄贤金,徐国良,等. 长三角城市土地扩张与人口增长耦合态势及其驱动机制[J]. 地理研究,2016,35(2):313-324.
[14]周艳,涂建军,卢德彬,等. 重庆市人口与经济空间分布关系及其变化研究[J]. 经济地理,2011,31(11):1781-1785.
[15]闫东升,杨槿. 长江三角洲人口与经济空间格局演变及影响因素[J]. 地理科学进展,2017,36(7):820-831.
[16]吴连霞,赵媛,马定国,等. 江西省人口与经济发展时空耦合研究[J]. 地理科学,2015,35(6):742-748.
[17]于婷婷,宋玉祥,浩飞龙,等. 东北地区人口结构与经济发展耦合关系研究[J]. 地理科学,2017,37(1):1-7.
[18]毕其格,宝音,李百岁. 内蒙古人口结构与区域经济耦合的关联分析[J]. 地理研究,2007,26(5):995-1004.
[19]钟业喜,陆玉麒. 鄱阳湖生态经济区人口与经济空间耦合研究[J]. 经济地理,2011,31(2):195-200.
[20]刘思峰,杨英杰,吴利丰. 灰色系统理论及其应用[M]. 第7版.北京:科学出版社,2014:63-90.
[21]马丽,金凤君,刘毅. 中国经济与环境污染耦合度格局及工业结构解析[J]. 地理学报,2012,67(10):1299-1307.
[22]刘长茂,张纯元. 人口结构学[M]. 北京:中国人口出版社,1991:5-10.
[23]孙爱军,刘生龙. 人口结构变迁的经济增长效应分析[J]. 人口与经济,2014(1):37-46.
[24]李文星,徐长生,艾春荣. 中国人口年龄结构和居民消费:1989-2004[J]. 经济研究,2008(7):118-129.
[25]吴连霞,赵媛,管卫华,等. 江苏省人口—经济耦合与经济发展阶段关联分析[J]. 地域研究与开发,2016,35(1):57-63.

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Last Update: 2018-11-06