北京大学学报(自然科学版)

城市化进程中北京市区县经济竞争力定量分析

隋欣1,2,Bjorn Harsman1,籍国东3   

  1. 1. School of Architecture and the built Environment, KTH, Stockholm, SE-10044; 2. 中国水利水电科学研究院, 水电可持续发展研究中心, 北京 100038; 3. 北京大学环境科学与工程学院, 环境工程系, 水沙科学教育部重点实验室,北京 100871;
  • 收稿日期:2009-11-10 出版日期:2010-11-20 发布日期:2010-11-20

Examining the Economic Competitiveness of 18 Districts in Beijing to Obtain Sustainable Urbanization

SUI Xin1, 2, Bjorn Harsman1, JI Guodong3   

  1. 1. School of Architecture and the Built Environment, KTH, Stockholm, SE-10044; 2. National Research Center for Sustainable Hydropower Development, China Institute of Water Resources and Hydropower Research, Beijing100038; 3. School of Environment Sciences and Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing 100871;
  • Received:2009-11-10 Online:2010-11-20 Published:2010-11-20

摘要: 应用传统偏离份额分析法, 对北京市 18 个区县1993?2002年和2005?2007年的经济发展状况进行了比较分析;应用 SPSS统计分析方法, 构建了 18 个区县经济竞争力与其影响因子之间的计量模型。结果表明, 1993?2002 年间, 城八区经济竞争力高于郊区县。2005 年后, 郊区县经济竞争力的增长高于城八区。各区县经济竞争力与财政收入、就业、大气环境质量和人均工资成正比, 与人口成反比。这些计量模型可为北京市及各区县政府通过政策工具, 合理调整 自身产业结构, 实现区域可持续发展提供依据。

关键词: 竞争力, GDP, 偏离份额分析, 北京市

Abstract: The authors analyzed the relative economic performances as measured by gross domestic product (GDP) among 18 districts in Beijing between 1993-2002 and 2005-2007. The statistical models use a traditional shift-share analysis evaluated with SPSS software. District competitiveness was decomposed into ten selected factors, including resource utility and environmental quality. The results indicate that, between 1993-2002, districts in the city-center were more competitive than districts in the suburbs. After 2005, suburban districts increased their competitiveness at a faster rate than those in the city. In addition, the authors try to identify the driving forces of economic growth in Beijing. Five factors were found to have a significant impact on GDP competitiveness of 18 districts in Beijing; finance income, employment density, average wages, and air quality all had positive effects, while population density had a negative effect. These results will be useful for planning future economic growth and specialization for districts around Beijing.

Key words: competitiveness, GDP, shift-share analysis, Beijing

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