地理研究 ›› 2011, Vol. 30 ›› Issue (9): 1637-1647.doi: 10.11821/yj2011090008

• 城市与乡村 • 上一篇    下一篇

黄淮海地区乡村发展格局与类型

李裕瑞1,2,3, 刘彦随1,2, 龙花楼1,2   

  1. 1. 中国科学院地理科学与资源研究所, 北京 100101;
    2. 中国科学院区域可持续发展分析与模拟重点实验室, 北京 100101;
    3. 中国科学院研究生院, 北京 100049
  • 收稿日期:2010-12-15 修回日期:2011-04-15 出版日期:2011-09-20 发布日期:2011-09-20
  • 通讯作者: 刘彦随(1965-),男,陕西绥德人,研究员,博士生导师,主要从事土地利用和农业与农村发展研究。E-mail: liuys@igsnrr.ac.cn E-mail:liuys@igsnrr.ac.cn
  • 作者简介:李裕瑞(1983-),男,四川隆昌人,博士后,研究方向为土地利用、区域农业与农村发展。 E-mail: lyr2008@163.com
  • 基金资助:

    国家自然科学基金重点项目(40635029);中国科学院知识创新工程项目(KSCX2-EW-304,KZCX2-YW-QN304)

Study on the pattern and types of rural development in the Huang-Huai-Hai region

LI Yu-rui1,2,3, LIU Yan-sui1,2, LONG Hua-lou1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, China;
    3. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2010-12-15 Revised:2011-04-15 Online:2011-09-20 Published:2011-09-20

摘要: 以黄淮海地区为例,评价分析了该区2000~2008年乡村发展水平及其时空格局,并利用自组织特征映射(SOFM)人工神经网络聚类算法划分了区域乡村发展类型。结果表明:(1)研究时段内全区乡村发展水平明显提升,乡村综合发展指数年均增长7.71%;(2)县域乡村发展格局无明显变化,但乡村综合发展水平的区域差异仍在增大,乡村综合发展指数的变异系数由0.346增加到0.350;(3)县域人均粮食和主要农产品产量与乡村发展水平呈日益强化的显著负相关关系;(4)基于SOFM聚类算法,将黄淮海地区乡村发展类型划分为8大类。本文认为:在城乡转型发展新时期,黄淮海地区乡村发展应立足地域类型特征,突出核心优势、明确限制因子,因地制宜、分区推进;县域人均粮食和主要农产品产量与乡村发展水平关系"倒挂"的现象应引起足够重视,为保障国家粮食安全、促进农区乡村发展,亟需推进宏观层面的制度和政策创新。

关键词: 乡村发展水平, 乡村发展类型, 指标体系, SOFM人工神经网络, 黄淮海地区

Abstract: China's agricultural and rural development has come into a new period of transformation since 2004, and this may provide new chances for rural development in less developed traditional agricultural areas. As such, geographical comprehensive studies on rural development in these areas are urgently needed. The Huang-Huai-Hai region, a representative of China's traditional agricultural areas, is an important hinterland of Bohai Economic Rim and a major base of China's grain and cotton production. The middle- and low-yield farmland improvement and agricultural comprehensive development initiated in the early 1970s had significantly accelerated the agricultural development in this region. Agricultural production function of this region has been further strengthened. However, rural development was still at a low level. This paper established an indicator system for assessing integrated level and spatial pattern of rural development in this region in 2000 and 2008 at county level. Furthermore, rural development types at county level were classified based on five indices including integrated rural development index, per capita output of major agricultural product, the proportion of agricultural labor in total rural labor, scale industrial output value per capita and the proportion of tertiary industry in GDP using self-organizing feature maps (SOFM) network modeling. The results showed: (1) rural development of the Huang-Huai-Hai region in 2008 has been significantly improved compared with 2000, as evidenced by the integrated rural development index showing an annual increase of 7.71%; (2) however, regional differences of integrated rural development index is still large and its spatial pattern showed no significant change during the study period; (3) per capita grain output and per capita output of major agricultural product have significant negative correlation with integrated rural development index and other selected rural development indictors; (4) according to cluster analysis supported by SOFM network, eight rural development types were divided. In urban-rural transformation, governments at all levels should identify limiting factors based on local conditions of various rural development types.Besides,more attention should be paid to the negative correlation between bulk agricultural commodities production and integrated rural development.

Key words: rural development level, rural development type, indictors system, SOFM network, the Huang-Huai-Hai region