Spatial-temporal evolution characteristics and influencing factors of county rural hollowing in Henan

被引:0
作者
Yang, Menghao [1 ,2 ]
Yao, Zhihong [2 ]
Cao, Lianhai [2 ]
Zhang, Haipeng [3 ,4 ]
Huang, Jie [2 ]
机构
[1] Minist Water Resources, Key Lab Soil & Water Loss Proc & Control Loess Pl, Zhengzhou, Henan, Peoples R China
[2] North China Univ Water Resources & Elect Power, Sch Resources & Environm, Zhengzhou 450046, Henan, Peoples R China
[3] Henan Univ, Key Res Inst Yellow River Civilizat & Sustainable, Kaifeng, Peoples R China
[4] Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat Hen, Kaifeng, Peoples R China
来源
CIENCIA RURAL | 2019年 / 49卷 / 04期
关键词
rural hollowing; spatial-temporal evolution; influencing factors; Henanprovince; REGION; SETTLEMENT;
D O I
10.1590/0103-847cr20180619
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Taking Henan province as an example, the index system of rural hollowing was constructed from three aspects of economy, population and land. Using the entropy weight method, hollowing index method, spatial autocorrelation analysis and Geo detector, spatialtemporal evolution characteristics and influencing factors of county rural hollowing from 2000 to 2013 in Henan province were analyzed. Results showed that the gap of rural hollowing between counties in Henan province expanded first and then decrease, and the whole province was at the middle level of rural hollowing, so the development of rural hollowing in Henan province was stable and positive. Spatial variation characteristics of different degrees rural hollowing during 2000-2013 were obvious, and the overall spatial pattern was higher in the northwestsoutheast direction and lower in the northeast-southwest direction. There was a strong spatial positive correlation in rural hollowing, and spatial agglomeration was slightly weakened; the number of counties in H-H and L-L agglomeration areas was large and its agglomeration characteristics were obvious; the H-L agglomeration areas started from zero with a small number and scattered distribution. Influence of different factors on rural hollowing was quite different, and the per capita homestead area, the proportion of secondary and tertiary industries, the investment in fixed assets and the per capita net income of farmers were the dominant factors.
引用
收藏
页数:15
相关论文
共 34 条
[1]   Optimal discretization for geographical detectors-based risk assessment [J].
Cao, Feng ;
Ge, Yong ;
Wang, Jin-Feng .
GISCIENCE & REMOTE SENSING, 2013, 50 (01) :78-92
[2]  
Cheng Liangsheng., 2001, China Geographic Sciences, V56, P437, DOI DOI 10.11821/XB200104007>.ACCESSED:MAR.15
[3]  
[樊鹏飞 Fan Pengfei], 2016, [资源科学, Resources Science], V38, P2361
[4]  
[冯宗宪 Feng Zongxian], 2014, [资源科学, Resources Science], V36, P1462
[5]  
[何艳冰 He Yanbing], 2016, [地理学报, Acta Geographica Sinica], V71, P1315
[6]  
Jenks GF., 1967, INT YB CARTOGRAPHY, V7, P186, DOI DOI 10.1201/9780429464195-7
[7]  
JIAO B. F., 2004, CHINESE RURAL EC, V8, P73
[8]  
[黎磊 Li Lei], 2014, [四川师范大学学报. 自然科学版, Journal of Sichuan Normal University. Natural Science Edition], V37, P728
[9]  
[刘彦随 LIU Yan-sui], 2010, [地理研究, Geographical Research], V29, P35
[10]  
[刘彦随 Liu Yansui], 2018, [地理学报, Acta Geographica Sinica], V73, P637