珠三角城市群的经济增长模式及演化特征研究——暨对“粤港澳大湾区”规划的思考
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  • 英文篇名:Economic Growth and Evolution in the Pearl River Delta: Thinking on the Development Plan for the Greater Bay Area
  • 作者:吴梦笛
  • 英文作者:WU Mengdi;
  • 关键词:经济增长模式 ; 珠三角城市群 ; 粤港澳大湾区 ; 空间发展
  • 英文关键词:Economic growth;;Pearl River Delta;;Guangdong-Hong Kong-Macao Greater Bay Area;;Spatial development
  • 中文刊名:HCSG
  • 英文刊名:Shanghai Urban Planning Review
  • 机构:香港大学建筑学院;
  • 出版日期:2019-04-28
  • 出版单位:上海城市规划
  • 年:2019
  • 期:No.145
  • 语种:中文;
  • 页:HCSG201902007
  • 页数:7
  • CN:02
  • ISSN:31-1706/TU
  • 分类号:35-40+48
摘要
21世纪以来,珠三角与港澳之间的"前店后厂"合作模式逐渐淡出,珠三角以往基于廉价土地、劳动力和大规模资本投入的要素推动型经济增长模式也发生巨大变化。从供给侧角度切入,比较分析珠三角及内部各城市的经济增长模式及演化特征,进而结合"粤港澳大湾区"战略,讨论新时代的珠三角城市群空间发展问题。提出珠三角依赖劳动力、土地和资本要素投入的发展路径已经难以为继;在国内外发展和竞争态势快速变化的今天,以及在粤港澳大湾区建设的背景下,珠三角应当正视自身经济发展模式存在的问题,主动谋求经济转型发展,以新的驱动力来推进区域分工合作及空间发展。
        Since the 21 st century, the economic collaboration model "Front Shop, Back Factory" between the Pearl River Delta and Hong Kong/Macao has faded out. The economic growth model in the Pearl River Delta, which mainly based on cheap land, labor, and large-scale capital investment, has also undergone tremendous challenges. This article is going to discuss economic growth and evolution in the Pearl River Delta. As response to the Outline Development Plan for the Greater Bay Area, this article also pays attention on the whole region's spatial development. The implication is that the Pearl River Delta today is facing with structural problems of economic growth. It is required to find out a way for economic transformation, as well as a new driving force to promote regional cooperation and development.
引文
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    (1)摘自《粤港澳大湾区发展规划纲要》。
    (2)为了比较历年实际增长率的变化情况,3项数据均以2015年为基准价格。
    (3)综合考虑叶裕民、丰雷等学者在运用柯布-道格拉斯生产函数和索洛余值法时选取的指标[5-6],研究采用二、三产业增加值作为经济产出指标,二、三产业从业人员数量作为劳动力要素指标,固定资产存量作为资本要素指标,城市建成区面积作为土地要素指标。其中,二、三产业增加值和固定资产存量按照2000年价格进行统一;由于地级市层面缺乏固定资产投资价格指数,固定资产总额的实际值是以二、三产业增加值的名义值和实际值的比值计算获得的,固定资产存量则是在历年固定资产总额的基础上通过永续盘存法(考虑年折旧率为5%,项目平均建设周期为3年)计算而来。经济产出、劳动力和资本投入数据均来源于历年《广东省统计年鉴》,土地投入数据来源于历年《中国城市建设统计年鉴》,由于部分数据与各城市统计年鉴有较大出入,研究对这些数据进行了一定的筛选和调整,并对数据统一进行了标准化处理。
    (4)计量分析结果反映了劳动力、资本、土地要素和全要素生产率(TFP)对经济增长的贡献率,4项因素相加之和为100%。

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