| 城市化进程中北京市区县经济竞争力定量分析 |
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| 引用本文： | 隋欣,Bjorn Harsman,籍国东.城市化进程中北京市区县经济竞争力定量分析[J].北京大学学报(自然科学版),2010,46(6):999-1006. |
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| 作者姓名： | 隋欣 Bjorn Harsman 籍国东 |
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| 作者单位： | 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; |
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| 基金项目： | 环保公益性行业科研专项(2010467060); 中国水利水电科学研究院专项(电集1023,电集1013)资助 |
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| 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。
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| 关 键 词： | 竞争力 GDP 偏离份额分析 北京市 |
| 收稿时间： | 2009-11-10 |
Examining the Economic Competitiveness of 18 Districts in Beijing to Obtain Sustainable Urbanization |
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| SUI Xin,Bjorn Harsman,JI Guodong.Examining the Economic Competitiveness of 18 Districts in Beijing to Obtain Sustainable Urbanization[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2010,46(6):999-1006. |
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| Authors: | SUI Xin Bjorn Harsman JI Guodong |
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| Institution: | 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; |
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| 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,subu... |
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| Keywords: | competitiveness GDP shift-share analysis Beijing |
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