经济与区域发展

规模报酬递增与京津冀都市区经济增长

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  • 1. 中国科学院地理科学与资源研究所区域可持续发展分析与模拟重点实验室, 北京 100101;
    2. 中国科学院研究生院,北京 100049
郭腾云(1962-)男,副研究员,博士,主要从事产业、区域与城市发展和GIS应用研究。E-mail: guoty@igsnrr.ac.cn

收稿日期: 2011-02-18

  修回日期: 2011-06-12

  网络出版日期: 2011-10-20

基金资助

国家自然科学基金项目(40671054、40801051)

Increasing returns to scale and economic growth of the Beijing-Tianjin-Hebei Metropolitan Region

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  • 1. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2011-02-18

  Revised date: 2011-06-12

  Online published: 2011-10-20

摘要

借助Verdoorn 法则,并将其拓展至区域经济研究框架,以京津冀都市区为研究区域,将其经济增长过程分为1995~2000年、2000~2007年及1995~2007年3个时段,采用Spatial Durbin Model和空间贝叶斯异方差回归模型将空间自相关和空间异质性纳入传统Verdoorn 法则的经验估计中,得到以下主要结论:京津冀都市区经济增长的各个阶段均存在显著的规模报酬递增,规模报酬递增是其极化效应和经济空间格局变化的重要原因;规模报酬递增的程度随着时间推移有增大趋势,预示着京津冀都市区极化效应也会有加强的趋势。

本文引用格式

郭腾云, 董冠鹏, 孙威 . 规模报酬递增与京津冀都市区经济增长[J]. 地理研究, 2011 , 30(10) : 1873 -1881 . DOI: 10.11821/yj2011100013

Abstract

Increasing returns to scale (IRS) play a core role in economic geography, urban economics and new economic geography, and are almost an article of faith of scientists engaged in these disciplines; however, the empirical evidence of increasing returns to scale is rarely of interest for these scientists. This paper examines the role of increasing returns to scale in empirical explanation of the pattern of economic growth. It presents estimates for the Dynamic Verdoorn Law related labor productivity growth to output growth, using data for the Beijing-Tianjin-Hebei Metropolitan Region (BTHMR) during 1995-2000, 2000-2007 and 1995-2007. Over the traditional specification, we have three advantages. First, regional social forces, cultural forces and the thickness of institution associated with output growth are considered rather than only the capital stock as the omitted variables. Second, spatial dependence of output growth and labor productivity growth are modeled in our SDM. Third, spatial heterogeneity is modeled through the Bayesian Spatial Heterogeneity Model (BSHM), which alleviates the biasness caused by heteroscedasticity. Based on the specification of model and the proper estimation methods, several results are drawn as follows. 1) The output growth has a strong positive relationship with labor productivity growth about 0.9, which strongly confirms the IRS play an essential part in the polarization and pattern of economic growth in BTHMR. 2) The magnitude of the positive impact of output growth on labor productivity growth is increasing with time, which means that the polarization of economic growth in BTHMR will continue and becomes stronger. In our BSHM, the impact of output growth on labor productivity during 2000-2007 is 0.06 larger than that during 1995-2000. 3) The growth of output in contiguous regions has a negative influence on the very region, which vividly depicts the process of growth for metropolises such as Beijing and Tianjin with their economic growth based on the attraction of productive factors from contiguous regions. This paper argues that our model, built around the productivity-output growth nexus is consistent with an attempt what one might expect as an empirical manifestation of new economic geography theory, and therefore it is seen as a way of confronting our version of new economic geography with data, and an attempt to discover the mechanism of the economic growth in BTHMR.

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