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### 江西省人口与经济发展时空耦合研究

1. 1.南京师范大学地理科学学院,江苏 南京210023
2.南京师范大学金陵女子学院,江苏 南京210097
3.江西师范大学地理与环境学院,江西 南昌330022
• 收稿日期:2014-01-21 修回日期:2014-03-02 出版日期:2015-06-20 发布日期:2015-06-20
• 作者简介:

• 基金资助:
国家自然科学基金项目（41271128）资助

### The Space-time Coupling Between Population and Economic Development in Jiangxi Province

Lian-xia WU1(), Yuan ZHAO1,2(), Ding-guo MA3, Wei-hua GUAN1

1. 1.School of Geography Science, Nanjing Normal University, Nanjing, Jiangsu 210023, China
2. Ginling College, Nanjing Normal University, Nanjing, Jiangsu 210024,China
3. College of geography and environment, Jiangxi Normal University, Nanchang, Jiangxi 330022, China
• Received:2014-01-21 Revised:2014-03-02 Online:2015-06-20 Published:2015-06-20

Abstract:

In the context of economic globalization and demographic urbanization, using interaction between regional population and economic development as the main line, the correlated coupling between population system and economic system was studied. Taking 91 counties (cities, districts) of Jiangxi Province as the investigated subject, with the support of GIS and gray relative analysis method (GRA), the model of coupling between population and economy was established by selecting 6 indicators of population system and 5 indicators of economic system. The distinction of coupling development research and coordination development research is shined here. This article associates economic growth stage theory and regional industrial structure evolution theory with coupling, so that the coupling characteristics of population and economic development in Jiangxi Province can be analyzed thoroughly. The following conclusions are found: In spatial sequence, according to the coupling degree and the distribution of economic development level, 91 counties (cities) of Jiangxi Province can be generally divided into four types: harmony (there are 2 districts), amelioration (there are 6 districts), conflict (there are 32 districts) and low-level coupling (there are 51 districts). The features of the coupling type regions are as follows: 1) Low-level coupling. It is the broadest all over the province, concentrated in the southern part of the province. It is mainly in the stage of agricultural economy (the coupling degree of population and economy is very large, and confliction of population and economy is very intense) or the original stage of industrialization (high correlation coupling, population and economic development are both relatively backward). 2) Conflict. It is a large range, mainly in the northern part of Jiangxi Province. And it is roughly in the initial stage of industrialization. Including two cases, one is in the development of counties and cities, and the population structure of employment is lag, constraining economic upgrading of industrial structure. The other one is in a higher degree of industrialization of the city, and the population quality status is a bottleneck of its economic development. 3) Amelioration. Scattered in urban areas, it is in the middle stage of industrialization. The contradiction between population and economy experiences the process of running and adaptation constantly. 4) Harmony. Located in Nanchang and Jiujiang cities, it is in the transitional period of advanced industrialization stage. Its population and economy develop simultaneously, promoting each other. The majority type of the whole province is low-level coupling, supplemented by conflict coupling. The dissertation analyzes characteristics and trends of associated coupling between population change and economic development from the time series. The spatial distribution of coupling degrees conforms to the law of north and south spatial variation. Its spatial distribution appears like "+" shaped, of which the horizontal axis of the concentration of population and economy is Jiangxi section of Zhejiang-Jiangxi railway, the vertical axis is Nanchang-Jiujiang railway, and they intersect in Nanchang. In time series, the sequential changes of the coupling degree between population and economy of Jiangxi Province present significant different phases and undulations, during the transition phase of which gradually from a low level to the stage of amelioration.

• K901.3