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Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China

LI Lin LIU Ying

LI Lin, LIU Ying. Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China[J]. 中国地理科学, 2017, 27(4): 660-672. doi: 10.1007/s11769-017-0893-7
引用本文: LI Lin, LIU Ying. Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China[J]. 中国地理科学, 2017, 27(4): 660-672. doi: 10.1007/s11769-017-0893-7
LI Lin, LIU Ying. Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China[J]. Chinese Geographical Science, 2017, 27(4): 660-672. doi: 10.1007/s11769-017-0893-7
Citation: LI Lin, LIU Ying. Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China[J]. Chinese Geographical Science, 2017, 27(4): 660-672. doi: 10.1007/s11769-017-0893-7

Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China

doi: 10.1007/s11769-017-0893-7
基金项目: Under the auspices of the post-funded project of National Social Science Foundation of China (No. 16FJL009)
详细信息
    通讯作者:

    LIU Ying.E-mail:liuying0923@yeah.net

Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China

Funds: Under the auspices of the post-funded project of National Social Science Foundation of China (No. 16FJL009)
More Information
    Corresponding author: LIU Ying.E-mail:liuying0923@yeah.net
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出版历程
  • 收稿日期:  2016-10-26
  • 修回日期:  2017-02-17
  • 刊出日期:  2017-08-27

Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China

doi: 10.1007/s11769-017-0893-7
    基金项目:  Under the auspices of the post-funded project of National Social Science Foundation of China (No. 16FJL009)
    通讯作者: LIU Ying.E-mail:liuying0923@yeah.net

摘要: We use the directional slacks-based measure of efficiency and inverse distance weighting method to analyze the spatial pattern evolution of the industrial green total factor productivity of 108 cities in the Yangtze River Economic Belt in 2003-2013. Results show that both the subprime mortgage crisis and ‘the new normal’ had significant negative effects on productivity growth, leading to the different spatial patterns between 2003-2008 and 2009-2013. Before 2008, green poles had gathered around some capital cities and formed a tripartite pattern, which was a typical core-periphery pattern. Due to a combination of the polarization and the diffusion effects, capital cities became the growth poles and ‘core’ regions, while surrounding areas became the ‘periphery’. This was mainly caused by the innate advantage of capital cities and ‘the rise of central China’ strategy. After 2008, the tripartite pattern changed to a multi-poles pattern where green poles continuously and densely spread in the midstream and downstream areas. This is due to the regional difference in the leading effect of green poles. The leading effect of green poles in midstream and downstream areas has changed from polarization to diffusion, while the polarization effect still leads in the upstream area.

English Abstract

LI Lin, LIU Ying. Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China[J]. 中国地理科学, 2017, 27(4): 660-672. doi: 10.1007/s11769-017-0893-7
引用本文: LI Lin, LIU Ying. Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China[J]. 中国地理科学, 2017, 27(4): 660-672. doi: 10.1007/s11769-017-0893-7
LI Lin, LIU Ying. Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China[J]. Chinese Geographical Science, 2017, 27(4): 660-672. doi: 10.1007/s11769-017-0893-7
Citation: LI Lin, LIU Ying. Industrial Green Spatial Pattern Evolution of Yangtze River Economic Belt in China[J]. Chinese Geographical Science, 2017, 27(4): 660-672. doi: 10.1007/s11769-017-0893-7
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