运筹与管理 ›› 2015, Vol. 24 ›› Issue (3): 205-211.DOI: 10.12005/orms.2015.0102

• 应用研究 • 上一篇    下一篇

服务业集聚和经济增长对我国城镇化影响的实证研究——基于半参数空间滞后模型

叶阿忠, 陈生明1, 冯烽1, 2   

  1. 1.福州大学 经济与管理学院,福建 福州 350108;
    2.广西财经学院 数学与统计系,广西 南宁 530003
  • 收稿日期:2013-06-20 出版日期:2015-06-12
  • 作者简介:叶阿忠(1963-),男,福建沙县人,教授,博士生导师,研究方向:数量经济学;陈生明(1989-),男,福建福清人,硕士研究生,研究方向:区域经济与数量经济学;冯烽(1980-)男,广西梧州人,副教授,研究方向:技术进步与经济增长。
  • 基金资助:
    国家自然科学基金资助项目(71171057);国家社会科学基金资助项目(12CJY011);教育部人文社会科学基金项目(10YJA790227);教育部高等学校博士点基金项目 (20103514110009)

Empirical Study on the Space Effect of Service Industry Agglomeration and Economic Growth on China’s Urbanization ——Based on Semi-parametric Spatial Lag Model

YE A-zhong1, CHEN Sheng-ming1, FENG Feng1,2   

  1. 1.School of Economics and Management, Fuzhou University, Fuzhou 350002, China;
    2.School of Information and Staistics,Guangxi University of Finance and Economics,Nanning 530003,China
  • Received:2013-06-20 Online:2015-06-12

摘要: 针对已有文献研究城镇化时忽视的服务业的空间集聚效应以及经济增长对人口城镇化的非线性关系的问题,文章根据第六次全国人口普查数据,利用半参数空间滞后模型实证研究了我国人口城镇化的影响因素。结果表明:(1)服务业的发展大力推动了我国区域人口城镇化发展,且它的影响强度明显高于工业化发展所带来的影响。服务业集聚效应对该省的人口城镇化具有促进作用,第二产业集聚对该省的人口城镇化的作用不显著。(2)经济欠发达地区(云贵川等)的经济增长对人口城镇化的促进作用较小。而多数位于中部和沿海经济较发达地区(福建、广州等)的经济增长显著促进了人口城镇化的发展。然而,在经济发达地区(如上海、北京、浙江)的经济增长对人口城镇化的促进效果明显开始减弱,甚至是负向的关系。(3)半参数空间滞后模型比普通参数模型具有更高的拟合优度和更丰富的结论,它能够有效刻画城镇化过程中空间相关性与非线性特征。

关键词: 数量经济学, 人口城镇化, 半参数空间滞后, 服务业集聚, 经济增长

Abstract: The existing literature about urbanization generally ignores the problem with the Agglomeration effect of the service industry as well as how economic growth influences the urbanization nonlinearly. According to the situation of China, this paper uses the semi-parametric spatial lag model to explain these two issues empirically. The results are as follows: A, the development of service industry and its spatial spillover effects promote the urbanization significantly. It brings the influence which has even surpassed the industrialization. Agglomeration of the province’s service industry has a promoting effect on the province’s urbanization, and agglomeration of the second industry output has an inhibitory effect on the province’s urbanization. B, economic growth has different effects on urbanization for different regions. Generally,economic growth contributes to the promotion of urbanization, especially in central China and the developed coastal area. However, in some highly developed areas, like Zhejiang, Shanghai and Tianjin,the effect begins to weaken, and even shows itself negatively. C, semi-parametric model of spatial lag works better than the parameter model in goodness of fit. The model effectively elaborates the characteristic of spatial correlation and nonlinear in China’s urbanization phenomenon.

Key words: quantitative economics, urbanization, semi-parametric spatial lag mode, service industry agglomeration, economic growth

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