Spatiotemporal Evolution Pattern and Driving Factors of Higher-Education Population in China
المؤلفون المشاركون
Huang, Yaohuan
Zhao, Qiudi
Liu, Yesen
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-30
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
The spatial and temporal distribution of the higher-education population (HEP) is a fundamental characteristic of the development level of higher education in a region or a country.
Based on the annual population sampling statistics from 2000 to 2015, the spatiotemporal evolution pattern of the HEP in China is systematically analyzed.
Meanwhile, 9 driving factors related to natural conditions and socioeconomic conditions of average slope, average elevation, the city location, the city size, high-speed railways, highways, gross domestic product (GDP) density, nonagricultural population, and population density of 2000 and 2010 at the municipal level are constructed.
Then, the factors driving the distribution of the HEP are quantitatively analyzed using the geodetector model.
The results show that the centroid of the HEP, shifting from the northeast to the southwest from 2000 to 2010, is markedly different from that of the total population from 2000 to 2015 in China.
Despite their different moving directions, the distance between the two centroids is decreasing, indicating both significant regional differences of the HEP in China and a narrowing gap between the HEP and the total population in recent years.
The results of the factor detector of 2000 and 2010 suggest that the proportion of the nonagricultural population and the city location are the main driving factors of the distribution of the HEP, with driving forces between 0.494 and 0.627, followed by the city size, highways, and GDP density, with driving forces are between 0.199 and 0.302.
It indicates that urbanization levels and urban locations are the main factors affecting the spatial distribution of the HEP.
The results of the interaction detection reveal that the interaction of the nonagricultural population and the GDP density can explain 92.7% of the spatial variety of the HEP in 2000, while that of the nonagricultural population and the population density can explain 97.6% of the spatial variety of the HEP in 2010, which reflects a more balanced development of the HEP.
In addition, a large proportion of the HEP transfers from economically developed areas to densely populated areas.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Qiudi& Huang, Yaohuan& Liu, Yesen. 2020. Spatiotemporal Evolution Pattern and Driving Factors of Higher-Education Population in China. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139979
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Qiudi…[et al.]. Spatiotemporal Evolution Pattern and Driving Factors of Higher-Education Population in China. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1139979
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Qiudi& Huang, Yaohuan& Liu, Yesen. Spatiotemporal Evolution Pattern and Driving Factors of Higher-Education Population in China. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139979
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139979
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر