地理研究 ›› 2011, Vol. 30 ›› Issue (6): 1121-1128.doi: 10.11821/yj2011060015

• 土地资源与利用 • 上一篇    下一篇

大庆市城市土地利用变化的驱动机制

董隽1,2, 臧淑英1   

  1. 1. 哈尔滨师范大学,黑龙江省高校地理环境遥感监测重点实验室,哈尔滨150025;
    2. 哈尔滨学院地理系,哈尔滨150086
  • 收稿日期:2010-11-23 修回日期:2011-02-13 出版日期:2011-06-20 发布日期:2011-06-20
  • 通讯作者: 臧淑英(1963-),女,黑龙江哈尔滨人,教授,主要从事土地覆被变化与生态环境研究。 E-mail:zsy6311@163.com
  • 作者简介:董隽(1971-),女,黑龙江哈尔滨人,讲师,主要从事土地利用研究。E-mail:9987700@163.com
  • 基金资助:

    国家自然科学基金项目(40871082)

Driving force mechanism of urban land use changes in Daqing city, Northeast China

DONG Jun1,2, ZANG Shu-ying1   

  1. 1. Key Laboratory of Geography Resource and Environment Remote Sensing, Collge of Heihongjiang Province; Harbin Normal University, Harbin 150025, China;
    2. Geographic Department, Harbin University, Harbin 150086, China
  • Received:2010-11-23 Revised:2011-02-13 Online:2011-06-20 Published:2011-06-20

摘要: 为探讨城市化过程中资源型城市土地利用变化的驱动机制,以大庆及所辖县为分析单元,利用大庆市1988年、1996年、2007年3期遥感影像,揭示大庆市城市建设用地变化的时空特征,并在Stata软件的支持下,采用面板数据模型将遥感数据与社会经济数据相结合,重点分析了大庆市城市建设用地变化的驱动机制。结果表明:油田固定资产投资、采掘业工人工资及城市用地和农业用地的生产力是大庆市城市土地利用变化的主要驱动因素。这说明资源型城市工业发展中的大规模投资,在其城市土地转化中发挥主体作用。

关键词: 城市土地利用变化, 驱动力, 面板数据分析, 大庆市

Abstract: This paper aims to discuss the driving force mechanism of urban land use change during the urbanization process in the resource-based city of Daqing, Northeast China. Based on the data during three periods of 1988, 1996 and 2007, the spatio-temporal characteristics of built-up land were revealed. The panel data used to estimate the models are generated by combining remote sensing data with economic and demographic data from annual compendium supported by STATA. This paper mainly analyzes the driving force mechanism of urban land use change. Results indicate that the investment in fixed assets, wages in mining and productivity generated by land associated with agricultural and urban uses are the main factors affecting urban land use change in Daqing city. This suggests that large-scale investments in industrial development play a major role in urban land conversion in resource-based cities.

Key words: urban land use change, driving force, panel data analysis, Daqing city