EN中文

地理学报 >

2010 , Vol. 65 >Issue 12: 1591 - 1601

DOI: https://doi.org/10.11821/xb201012014

过程模拟与农业

吉林省中部粮食主产区城乡综合发展水平格局特征

展开
  • 1. 中国科学院东北地理与农业生态研究所, 长春130012;
    2. 西北大学城市与资源学系, 西安710127
程叶青(1976-), 男, 湖南武冈人, 博士, 副研究员, 中国地理学会会员(S110006162M), 主要从事农业地理与乡村发展研究。E-mail: yqcheng@neigae.ac.cn

收稿日期: 2010-01-05

  修回日期: 2010-06-20

  网络出版日期: 2010-12-20

基金资助

国家科技支撑计划重点项目(2008BAH31B06)；国家自然科学基金重点项目(40635030)；国家自然科学基金项目(40901065)

收起

Spatio-temporal Pattern Change and Its Driving Factors of Urban-rural Integrated Development Level in the Major Grain-producing Area of Central Jilin Province

Expand
  • 1. Northeast Institute of Geography and Agroecology, CAS, Changchun 130012, China;
    2. Department of Urban and Environmental Science, Northwest University, Xi'an 710127, China

Received date: 2010-01-05

  Revised date: 2010-06-20

  Online published: 2010-12-20

Supported by

National Key Project of Scientific and Technical Supporting Programs, No.2008BAH31B06； Key Project of National Natural Science Foundation of China,No.40635030； National Natural Science Foundation of China, No. 40901065

Fold

摘要

运用主成分分析、多目标加权求和模型、马尔可夫链和ESDA方法，在GIS 技术支持下，基于吉林省中部粮食主产区24 个空间单元2000 年、2003 年、2007 年3 个时间断面的数据，探讨该区城乡综合发展水平时空格局演变特征及其动力因子。研究结果表明：① 区域城乡发展存在“俱乐部趋同”现象，城乡综合发展水平的空间差异趋于扩大；② 区域城乡综合发展水平“两极分化”明显，高水平空间单元集中在5 个地级市辖区，低水平空间单元进一步向哈大铁路沿线集聚，并在其北侧形成“哑铃”状连续分布区，该区域有可能陷于强者愈强，弱者恒弱的“马太效应”；③ 主成分分析结果表明，城乡经济实力、空间区位、居民收入等是吉林省中部粮食主产区城乡综合发展水平时空格局演变的主要动力因子。

关键词： 城乡综合发展水平指数; 马尔可夫链; ESDA; 动力因子; 吉林省中部粮食主产区

本文引用格式

程叶青, 邓吉祥 . 吉林省中部粮食主产区城乡综合发展水平格局特征[J]. 地理学报, 2010 , 65(12) : 1591 -1601 . DOI: 10.11821/xb201012014

Abstract

By the methods of Principal Component Analysis, Multi-objective Weighted Model, Markov Chains and ESDA, and based on the data of 2000, 2003 and 2007 of 24 spatial units in the major grain-producing areas of central Jilin Province, the spatio-temporal pattern change and its driving factors of urban-rural integrated development level were discussed. The results are shown as follows. First, there exists a phenomenon of “Club Convergence” in regional urban-rural development, and the spatial discrepancy of urban-rural integrated development level in the study area has become greater; Second, there was an obvious trend in the “Polarization”of urban-rural integrated development level, i.e., the higher level spatial units were concentrated in the five prefecture-level municipal districts, and the lower level spatial units were mainly in the central region along the Harbin-Dalian Railway, thus formed a “Dumbbell”-shaped continuous distribution area. It may fall into the“Matthew Effect”that the strong will become stronger and the weak will be constantly weaker. Finally, according to the Principal Component Analysis, it can be concluded that the economic strength, spatial location and income level of residents were the main driving factors of spatio-temporal pattern change of the urban-rural integrated development level in the major grain-producing area of central Jilin Province.

Key words： index of urban-rural integrated development level; Markov Chain; ESDA; driving factors; the major grain-producing area of central Jilin Province

参考文献


[1] Guo Jianjun. Status, issues and policy proposals on China's urban-rural development. Review of Economic Research, 2007, (1): 24-44.
[郭建军. 我国城乡统筹发展的现状、问题和政策建议. 经济研究参考, 2007, (1): 24-44.]
[2] Su Ming. Development mechanism and macro-policy research on urban-rural co-ordination of economy and society. Research on Economics and Management, 2006, (8): 5-20.
[苏明. 城乡经济社会统筹发展机制和宏观政策研究. 经济与管理研究, 2006, (8): 5-20.]
[3] Li Quan. Review on the research of urban-rural relationship at home and abroad. Gansu Social Sciences, 2005, (4): 207-212.
[李泉. 中外城乡关系问题研究综述. 甘肃社会科学, 2005, (4): 207-212.]
[4] Duan Juan, Yu Wenyuan, Lu Qi. Review and evaluation of researches on urban-rural interaction development in the last fifteen years. Progress in Geography, 2006, 25(4): 118-128.
[段娟, 文余源, 鲁奇. 近十五年国内外城乡互动发展研究述评. 地理科学进展, 2006, 25(4): 118-128.]
[5] Zhou Shulian, Jin Pei. A Comparative Study on the Theory of Urban-rural Economic Relations at Home and Abroad. Beijing: Economic Management Publishing House, 1994.
[周叔莲, 金培. 中外城乡经济关系理论比较研究. 北京: 经济管理出版社, 1994.]
[6] Zhan Jinyan, Lu Qi. Assessment and empirical study on the relationship between infrastructure construction and urban-rural development. Acta Geographica Sinica, 2003, 58(4): 611-619.
[战金艳, 鲁奇. 中国基础设施与城乡一体化的关联发展. 地理学报, 2003, 58(4): 611-619.]
[7] Zhan Jinyan, Lu Qi, Deng Zhengxiang. Construction of urban-rural interaction evaluation model and its application in Shandong Province, Geographical Research, 2003, 22(4): 495-502.
[战金艳, 鲁奇, 邓祥征. 城乡关联发展评价模型系统构建: 以山东省为例. 地理研究, 2003, 22(4): 495-502.]
[8] Zeng Lei, Lei Jun, Lu Qi. Construction of evaluating indicator system of urban-rural interaction and the comparative analysis of regional urban-rural correlative-degree in China. Geographical Research, 2002, 21(6): 763-771.
[曾磊, 雷军, 鲁奇. 我国城乡关联度评价指标体系构建及区域比较分析. 地理研究, 2002, 21(6): 763-771.]
[9] Lu Qi, Zeng Lei, Wang Guoxia et al. Spatial evolution of Chongqing urban-rural interaction and its comprehensive evaluation. China Population Resources and Environment, 2004, 14(2): 81-87.
[鲁奇, 曾磊, 王国霞等. 重庆城乡关联发展的空间演变分析及综合评价. 中国人口·资源与环境, 2004, 14(2): 81-87.]
[10] Duan Juan, Yu Wenyuan, Lu Qi. Research on the regional difference and its changing tendency of the urban-rural interaction development level in China. China Soft Science, 2006, (9): 87-95.
[段娟, 文余源, 鲁奇. 中国城乡互动发展水平的地区差异及其变动趋势研究. 中国软科学, 2006, (9): 87-95.]
[11] Xu Xueqiang, Hu Huaying. The opening of China accelerates the development of the Pearl River Delta town. Acta Geographica Sinica, 1988, (3): 201-212.
[许学强，胡华颖. 对外开放加速珠江三角洲市镇发展. 地理学报, 1988, 43 (3): 201-212.]
[12] Huang Weixiong. A study on the developmental model and structure of urban-rural integration in the Pearl River Delta. Economic Geography, 2002, 22(3): 335-338.
[黄伟雄. 珠江三角洲城乡一体化发展模式与格局的探讨. 经济地理, 2002, 22(3): 335-338.]
[13] Wu Yongxing. Study on development strategy of integration of urban-rural areas in Shanghai. Economic Geography, 1997, 17(1): 26-31.
[吴永兴. 上海市城乡一体化建设发展战略探讨. 经济地理, 1997, 17(1): 26-31.]
[14] Guo Sheng, Wang Rui. The Sunan model, the Pearl River model, the Wenzhou model or the "model" of no model. Development of Small Cities, 2000, (8): 54-55.
[郭胜, 王锐. 苏南模式、珠江模式、温州模式还是没有模式的“模式”. 小城镇建设, 2000, (8): 54-55]
[15] Zhang Dongping, Wei Zhongsheng. Food Security and Increasing Income of Peasants in the Main Producing Areas. Beijing: China Agriculture Press, 2006.
[张冬平, 魏仲生. 粮食安全与主产区农民增收问题. 北京: 中国农业出版社, 2006.]
[16] Zhang Pingyu. Regional Development Report of Northeast China 2008. Beijing: Science Press, 2008.
[张平宇. 东北区域发展报告2008. 北京: 科学出版社, 2008.]
[17] Tsionas E G. Another look at regional convergence in Greece. Regional Studies, 2002, 36(6): 603-609.
[18] Shen Zhou, Xie Shiqian, Pan Chengyi. Probabilities and Statistics. Beijing: Higher Education Press, 2008.
[盛骤, 谢式千, 潘承毅. 概率论与数理统计. 北京: 高等教育出版社, 2008.]
[19] Pu Yingxia, Ma Ronghua, Ge Ying et al. Spatial-temporal dynamics of Jiangsu regional convergence with Spatial Markov Chains approach. Acta Geographica Sinica, 2005, 60(5): 817-826.
[蒲英霞, 马荣华, 葛莹等. 基于空间马尔可夫链的江苏区域趋同时空演变. 地理学报, 2005, 60(5): 817-826.]
[20] Anselin L. Interactive techniques and exploratory spatial data analysis//Longley P A, Goodchild M F, Maguire D J et al. Geographical Information Systems, Principles, Technical Issues, Management Issues and Applications. John Wiley & Sons, Inc., 1999: 253-266.
[21] Gallo J, Ertur C. Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe, 1980-1995. Papers of Regional Science, 2003, 82: 175-201.
[22] Rey S. Spatial analysis of regional income inequality//Goodchild M, Janelle D. Spatially Integrated Social Science: Examples in Best Practice. Oxford: Oxford University Press, 2004: 280-299.
[23] Pu Yingxia, Ge Ying, Ma Ronghua, et al. Analyzing regional economic disparities based on ESDA. Geographical Research, 2005, 24(16): 965-974.
[蒲英霞, 葛莹, 马荣华等. 基于ESDA的区域经济空间差异分析. 地理研究, 2005, 24(16): 965-974.]
[24] Wu Shidai, Wang Qiang. Regional economic disparities and co-ordination of economic development in coastal areas of southeastern China, 1995-2000. Acta Geographica Sinica, 2008, 63(2): 123-134.
[伍世代, 王强. 中国东南沿海区域经济差异及经济增长因素分析. 地理学报, 2008, 63(2): 123-134.]
[25] Ma Xiaodong, Ma Ronghua, Xu Jiangang. Spatial structure of cities and towns with ESDA-GIS framework. Acta Geographica Sinica, 2004, 59(6): 1048-1057.
[马晓冬, 马荣华, 徐建刚. 基于ESDA-GIS的城镇群体空间结构. 地理学报, 2004, 59(6): 1048-1057.]
[26] Zhu Chuangeng, Gu Chaolin, Ma Ronghua, et al. The influential factors and spatial distribution of floating population in China. Acta Geographica Sinica, 2001, 56(5): 549-560.
[朱传耿, 顾朝林, 马荣华等. 中国流动人口的影响要素与空间分布. 地理学报, 2001, 56(5): 549-56.]
[27] Lu Anmin, Li Chengming, Lin Zongjian et al. Population growth rate and its spatial association by providence in China. Acta Geographica Sinica, 2002, 57(2): 143-150.
[吕安民, 李成名, 林宗坚等. 中国省级人口增长率及其空间关联分析. 地理学报, 2002, 57(2): 143-150.]
[28] Cliff A D, Ord J. Spatial Processes, Models and Applications. London: Pion, 1981.
[29] Anselin L. The Moran scatter plot as an ESDA tool to assess local instability in spatial association//Fisher M, Scholten H J, Unwin D. Spatial Analytical Perspectives on GIS. London: Taylor & Francis, 1996: 111-125.
[30] Quah D. Regional convergence clusters across Europe. European Economic Review, 1996, 40(4): 951-958.
[31] Construction Department of the Jilin Province, Urban-Rural Planning and Design Institute of the Northeast Normal University. The Central Town Group Planning of Jilin Province (2005-2020), Manual, 2006.
[吉林省建设厅, 东北师范大学城乡规划设计研究院. 吉林省中部城镇群规划(2005-2020 年) 说明书. 2006.]
Options
文章导航

/

〈 〉