中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatio-temporal Dynamic Patterns of Rural Area Development in Eastern Coastal China

文献类型:SCI/SSCI论文

作者Liu Y. S. ; Wang G. G. ; Zhang F. G.
发表日期2013
关键词rural area development rural development evaluation new countryside construction eastern coastal China
英文摘要The aim of this study is to evaluate the current state of rural area development at the county level in the eastern coastal China. An evaluation index system including 18 factors was developed, and a rural development index (RDI) was constructed to evaluate rural development state in 2000, 2004, and 2008. The quantitative evaluation indicated the following results. 1) This study derived four dominating components by means of principal component analysis, which can explain 78.2% of the total information, namely agricultural production input, the basic condition of agriculture, the comparative effectiveness of grain production, and the household's own basic conditions. 2) Since the turn of the new millennium, the rural area in the eastern coastal China has experienced a rapid development in general. Well developed, developed, moderately developed and undeveloped rural areas respectively occupied 29.32%, 22.33%, 21.91%, and 10.51% in 2008. 3) The countryside had maintained a sound momentum of developing trend between 2000 and 2008, while the rural development in the eastern coastal China lacked sustainability. And 4) industrialization, urbanization, original economic basis, and location are four major driving forces of the disparity of rural area development in the eastern coastal China. Given these results, the strategies and policies for the improvement of each rural group were put forward.
出处Chinese Geographical Science
23
2
173-181
收录类别SCI
语种英语
ISSN号1002-0063
源URL[http://ir.igsnrr.ac.cn/handle/311030/30372]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Liu Y. S.,Wang G. G.,Zhang F. G.. Spatio-temporal Dynamic Patterns of Rural Area Development in Eastern Coastal China. 2013.

入库方式: OAI收割

来源:地理科学与资源研究所

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