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我国房地产开发投资对城市经济增长贡献的差异分析 被引量:5
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作者 王旺平 黄利文 《未来与发展》 2012年第10期49-52,共4页
本文运用面板数据模型分析了1995年至2009年我国35个大中城市房地产开发投资对经济增长的贡献,研究结果表明,房地产开发投资与城市的经济增长之间存在显著的正向影响,且其对推动城市经济增长有着积极作用,但是房地产开发投资对城市经济... 本文运用面板数据模型分析了1995年至2009年我国35个大中城市房地产开发投资对经济增长的贡献,研究结果表明,房地产开发投资与城市的经济增长之间存在显著的正向影响,且其对推动城市经济增长有着积极作用,但是房地产开发投资对城市经济增长的贡献因城市不同而存在差异。 展开更多
关键词 房地产开发投资 经济增长:面板数据
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中国各地区金融发展与经济增长的关系分析 被引量:20
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作者 陈黎敏 《浙江金融》 北大核心 2011年第8期31-34,共4页
本文通过对全国31个省市自治区1978-2008年的金融发展与经济增长的面板数据分析发现:金融发展与经济增长总体呈现很强的正相关,但由于各地的经济基础不同,各地区之间差异较大。总体来说,东部地区金融发展对经济增长的推动作用较强,而中... 本文通过对全国31个省市自治区1978-2008年的金融发展与经济增长的面板数据分析发现:金融发展与经济增长总体呈现很强的正相关,但由于各地的经济基础不同,各地区之间差异较大。总体来说,东部地区金融发展对经济增长的推动作用较强,而中西部地区金融发展对经济增长的促进作用较弱,这可以解释为较高的金融发展水平对经济增长的促进作用就较强。因此,政府应加大对中西部资金支持和政策倾斜力度。 展开更多
关键词 金融发展 经济增长:面板数据
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Ecological Footprint and Endogenous Economic Growth in the Poyang Lake Area in China Based on Empirical Analysis of Panel Data Model 被引量:2
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作者 何宜庆 车婷 王芸 《Journal of Resources and Ecology》 CSCD 2012年第4期367-372,共6页
In this paper, ecological footprint methods were used to calculate the ecological footprint of six cities (Nanchang, Jingdezhen, Jiujiang, Xinyu, Yingtan and Fuzhou) in the Poyang Lake Area, Jiangxi, China from 1991... In this paper, ecological footprint methods were used to calculate the ecological footprint of six cities (Nanchang, Jingdezhen, Jiujiang, Xinyu, Yingtan and Fuzhou) in the Poyang Lake Area, Jiangxi, China from 1991 to 2010. Ecological footprint was the input factor for ecological resources and the contribution of this and other factors such as labor and capital to economic growth were analyzed. The results showed that, from 1991 to 2010, ecological footprints in the six cities increased year by year. The amount of land for fossil energy, under cultivation and grassland influenced total ecological footprint in each city. The contribution of ecological resources, labor factors and capital factors to economic growth showed regional differences. Nanchang, Jiujiang, Xinyu, and Yingtan are capital-orientated and capital factor had a great influence on the economic growth rates, whereas, Jingdezhen and Fuzhou were labor-orientated. The contribution of ecological resources to economic growth in the six cities was the lowest of all three factors, meaning that efficiency of ecological resource utilization is low. Total productivity plays a key role in economic development; however, the overall level of total factor productivity for the six cities was low and indicates that the technological content of Poyang Lake Area’s economic growth is low and the utilization of input factors extensive. In summary, we suggest changing the mode of economic growth and developing tertiary industry in the region. 展开更多
关键词 Poyang Lake Area ecological footprint endogenous economic growth panel data model
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