中国地理科学 ›› 2016, Vol. 26 ›› Issue (5): 623-637.doi: 10.1007/s11769-016-0827-9

• 论文 • 上一篇    下一篇

Spatio-temporal Dynamic of Quality of Life of Residents, Northeast China

CHENG Yeqing1, WANG Ying1, WANG Zheye2, DU Na1, SUN Yu3, ZHAO Zhizhong1   

  1. 1. College of Geography and Environmental Sciences, Hainan Normal University, Haikou 571158, China;
    2. Department of Geography, Kent State University, Kent 44242, United States;
    3. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China
  • 收稿日期:2016-01-22 修回日期:2016-05-06 出版日期:2016-10-27 发布日期:2016-08-25
  • 通讯作者: DU Na.E-mail:673355216@qq.com E-mail:673355216@qq.com
  • 基金资助:

    Under the auspices of Key Research Program of Chinese Academic of Science (No. KZZD-EW-06-03, KSZD-EW-Z-021-03), Advantage Discipline Project of Hainan Normal University (No. 305010048), Key Discipline Project of Hainan (No. 3050107048), National Natural Science Foundation of China (No. 41201160, 41329001), Natural Science Foundation of Hainan Province (No. 414189)

Spatio-temporal Dynamic of Quality of Life of Residents, Northeast China

CHENG Yeqing1, WANG Ying1, WANG Zheye2, DU Na1, SUN Yu3, ZHAO Zhizhong1   

  1. 1. College of Geography and Environmental Sciences, Hainan Normal University, Haikou 571158, China;
    2. Department of Geography, Kent State University, Kent 44242, United States;
    3. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China
  • Received:2016-01-22 Revised:2016-05-06 Online:2016-10-27 Published:2016-08-25
  • Contact: DU Na.E-mail:673355216@qq.com E-mail:673355216@qq.com
  • Supported by:

    Under the auspices of Key Research Program of Chinese Academic of Science (No. KZZD-EW-06-03, KSZD-EW-Z-021-03), Advantage Discipline Project of Hainan Normal University (No. 305010048), Key Discipline Project of Hainan (No. 3050107048), National Natural Science Foundation of China (No. 41201160, 41329001), Natural Science Foundation of Hainan Province (No. 414189)

摘要:

Quality of life (QOL) is a hotspot issue that has attracted increasing attention from the Chinese Government and scholars, it is also a vital issue that should be addressed during the cause of ‘establishing overall well-off society’. Northeast China is one of the most import old industrial bases in China, however, the industrial structure of heavy chemical industry and the development mode of ‘production first, living last’ have leaded to series of social problems, which have also become a serious bottleneck to social stability and economic sustainable development. Through applying the methods of BP neural network, exploratory spatial data analysis (ESDA) and spatial regression model, this paper examines the space-time dynamics of QOL of the residents in Northeast China. We first investigate the indexes of QOL of the residents and then use ESDA methods to visualize its space-time relationship. We have found a spatial agglomeration of QOL of the residents in middle-southern Liaoning Province, central Jilin Province and Harbin-Qiqihar-Daqing area of Heilongjiang Province. Two third of the counties are low-low spatial correlation, and the correlative type of about 60% of the prefecture level areas keeps stable, indicating QOL of the residents in Northeast China shows a certain character of path dependence or spatial locked. We have also found that economic strength and development levels of service industry have positive and obvious effect on QOL of the residents, while the effect of such indexes as the social service level and the proportion of the tertiary industries are less.

关键词: quality of life (QOL), BP neural network, exploratory spatial data analysis (ESDA), spatial regression model, Northeast China

Abstract:

Quality of life (QOL) is a hotspot issue that has attracted increasing attention from the Chinese Government and scholars, it is also a vital issue that should be addressed during the cause of ‘establishing overall well-off society’. Northeast China is one of the most import old industrial bases in China, however, the industrial structure of heavy chemical industry and the development mode of ‘production first, living last’ have leaded to series of social problems, which have also become a serious bottleneck to social stability and economic sustainable development. Through applying the methods of BP neural network, exploratory spatial data analysis (ESDA) and spatial regression model, this paper examines the space-time dynamics of QOL of the residents in Northeast China. We first investigate the indexes of QOL of the residents and then use ESDA methods to visualize its space-time relationship. We have found a spatial agglomeration of QOL of the residents in middle-southern Liaoning Province, central Jilin Province and Harbin-Qiqihar-Daqing area of Heilongjiang Province. Two third of the counties are low-low spatial correlation, and the correlative type of about 60% of the prefecture level areas keeps stable, indicating QOL of the residents in Northeast China shows a certain character of path dependence or spatial locked. We have also found that economic strength and development levels of service industry have positive and obvious effect on QOL of the residents, while the effect of such indexes as the social service level and the proportion of the tertiary industries are less.

Key words: quality of life (QOL), BP neural network, exploratory spatial data analysis (ESDA), spatial regression model, Northeast China