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广东欠发达地区经济增长驱动力的比较分析
引用本文:陈少存,吕拉昌. 广东欠发达地区经济增长驱动力的比较分析[J]. 首都师范大学学报(自然科学版), 2013, 34(5): 58-63
作者姓名:陈少存  吕拉昌
作者单位:1. 广州大学地理科学学院,广州,510006
2. 首都师范大学资源环境与旅游学院,北京,100048
基金项目:国家自然基金项目,广东省普通高校人文社会科学重大攻关,广州市教育局项目
摘    要:利用广东省粤东、粤西、粤北地区1995~2008年的面板数据,运用面板数据模型,从消费、投资和净出口三大需求对经济增长的驱动力出发,对粤东、粤西、粤北地区经济增长驱动力区域差异进行了比较研究.研究结果表明:粤东、粤西、粤北地区在消费、投资和净出口对经济增长的驱动力方面同珠江三角洲地区存在着巨大的差距;90年代,粤东地区主要靠消费拉动地区生产总值,21世纪初,粤东地区没有突出的拉动力,投资和净出口合力拉动地区生产总值发展;90年代粤西主要依靠净出口拉动地区生产总值发展,21世纪初,粤西不仅靠净出口拉动地区生产总值发展,消费对地区生产总值拉动力也位居首位;从90年代到21世纪初粤北始终是依靠投资拉动地区生产总值发展.

关 键 词:经济增长  驱动力  区域差异  面板数据模型

Comparative Analysis of the Driving Force of Economic Growth of Underdeveloped Areas in Guangdong province
Chen Shaocun , Lu Lachang. Comparative Analysis of the Driving Force of Economic Growth of Underdeveloped Areas in Guangdong province[J]. Journal of Capital Normal University(Natural Science Edition), 2013, 34(5): 58-63
Authors:Chen Shaocun    Lu Lachang
Affiliation:Chen Shaocun1 Lu Lachang2*(1.School of Geographical Science,Guangzhou University,510006; 2.College of resources and environment and tourism,Capital Normal University Guangzhou University,100048)
Abstract:Using the panel data 1995-2008 of eastern Guangdong western Guangdong northern Guangdong and the panel data model,the driving force of economic growth and regional difference are analyzed from three aspects: consumption,investment and net exports.The results show that: some significant differences of economic driving forces exist in the three regions compared with the Pearl River Delta region in terms of consumption investment net exports.in the 1990s,eastern Guangdong is mainly driven by consumption,while,in the beginning of the 21st Century,eastern Guangdong is driven by investment and net exports together;in the 1990s western Guangdong is driven by net exports,while,in the beginning of the 21st century,western Guangdong is driven by net exports and consumption;from the 1990s to the early 2000s northern Guangdong is always driven by investment.
Keywords:economic growth  driving force  regional differences  panel data model
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