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Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China

GAO Xiaona MA Yanji

GAO Xiaona, MA Yanji. Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China[J]. 中国地理科学, 2008, 18(1): 24-32. doi: 10.1007/s11769-008-0024-6
引用本文: GAO Xiaona, MA Yanji. Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China[J]. 中国地理科学, 2008, 18(1): 24-32. doi: 10.1007/s11769-008-0024-6
GAO Xiaona, MA Yanji. Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China[J]. Chinese Geographical Science, 2008, 18(1): 24-32. doi: 10.1007/s11769-008-0024-6
Citation: GAO Xiaona, MA Yanji. Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China[J]. Chinese Geographical Science, 2008, 18(1): 24-32. doi: 10.1007/s11769-008-0024-6

Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China

doi: 10.1007/s11769-008-0024-6
基金项目: Under the auspices of National Natural Science Foundation of China (No. 40501019);the Knowledge Innovation Key Orientation Program of Chinese Academy of Sciences (No. KZCX2-YW-321-04)
详细信息
    通讯作者:

    MA Yanji. E-mail: mayanji@neigae.ac.cn

Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China

Funds: Under the auspices of National Natural Science Foundation of China (No. 40501019);the Knowledge Innovation Key Orientation Program of Chinese Academy of Sciences (No. KZCX2-YW-321-04)
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出版历程
  • 收稿日期:  2007-04-18
  • 修回日期:  2007-12-19
  • 刊出日期:  2008-03-20

Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China

doi: 10.1007/s11769-008-0024-6
    基金项目:  Under the auspices of National Natural Science Foundation of China (No. 40501019);the Knowledge Innovation Key Orientation Program of Chinese Academy of Sciences (No. KZCX2-YW-321-04)
    通讯作者: MA Yanji. E-mail: mayanji@neigae.ac.cn

摘要: County-level industrial development and structure upgrade is one of the most important issues of revitalizing old industrial base of China. After the cluster analysis on GDP per capita and GDP per area of each county in Liaoning Province, this paper finds the similarity of population size, land use intensity, and economic development of each county. Location quotient reflects the specialization intensity of industries in each county, and it also reflects the spatial differences of county-level industrial development. Economic development level is higher in the southeast than in the northwest of Liaoning, and the industry driving effect on county-level economy is apparent. The main influencing factors include location, industrial foundation and economic system reform, capital input level, knowledge and technology dissemination, conditions of domestic and overseas markets, population and labor force transfer. Industrialization is an important approach to urbanization for the counties in Liaoning Province. The proportion of agriculture is much higher in the northwest than in the southeast of Liaoning, so it will be take longer time for counties in the northwest of Liaoning to make industrialization, urbanization and modernization.

English Abstract

GAO Xiaona, MA Yanji. Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China[J]. 中国地理科学, 2008, 18(1): 24-32. doi: 10.1007/s11769-008-0024-6
引用本文: GAO Xiaona, MA Yanji. Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China[J]. 中国地理科学, 2008, 18(1): 24-32. doi: 10.1007/s11769-008-0024-6
GAO Xiaona, MA Yanji. Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China[J]. Chinese Geographical Science, 2008, 18(1): 24-32. doi: 10.1007/s11769-008-0024-6
Citation: GAO Xiaona, MA Yanji. Spatial Pattern and Influencing Factor of County-level Industrial Development in Liaoning Province of China[J]. Chinese Geographical Science, 2008, 18(1): 24-32. doi: 10.1007/s11769-008-0024-6
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