摘要
文章运用熵值法从外贸、外资、创汇方面来测算广西14个地级市的开放型经济发展水平,并运用探索性空间数据方法(ESDA)和地理探测器模型,分析广西开放型经济发展水平的整体差异状况、时空格局特征以及影响因素发现:2009—2018年广西各地区开放型经济发展水平波动明显,但总体上不断提高,各地区绝对差异在缩小,相对差异有扩大趋势,开放型经济发展水平空间差异显著,逐渐呈现出"南高北低、西高东低"的分布格局,且空间集聚特征明显,2009—2018年间高值集聚区一直分布在西南部,而低值集聚区从西北向东部地区转移,并出现低高集聚区(百色市);教育支出占财政支出比重、第二产业比重和城市化率是影响开放型经济发展的重要因素。
This article applies entropy evaluation method to measure and calculate the development levels of open economy of Guangxi’s 14 prefecture-level cities on the aspects of foreign trade,foreign investment and earning foreign exchanges,and uses Exploratory Spatial Data Analysis(ESDA)method and models of GeoDetector to analyze the overall disparities,features of temporal and spatial pattern and influencing factors of development levels of Guangxi’s open economy.It has come to the following conclusions:(1)Between 2009 and 2018,the development level of open economy in various regions of Guangxi fluctuated significantly,yet improved as a whole.The absolute differences among the regions were diminishing while the relative differences tended to expand.(2)Development levels of open economy had significant temporal and spatial disparities and gradually demonstrated a distribution pattern of"High in the south and low in the north,high in the west and low in the east"with apparent features of spatial agglomeration.Between 2009 and 2018,high numerical values had always concentrated in the southwestern part while the low ones shifted to the eastern regions from the northwest and a high&low agglomeration occurred(in Baise City).(3)It has been found out in the research that the proportion of education expenditure to fiscal expenditure,the proportion of the secondary industry and urbanization rate are significant factors influencing development of open economy.
作者
杨子明
Yang Ziming(Faculty of Geography,Yunnan Normal University,Kunming,Yunnan 650500,China)
出处
《南宁职业技术学院学报》
2021年第3期83-89,共7页
Journal of Nanning College for Vocational Technology
关键词
广西
开放型经济发展水平
时空演变
地理探测器
影响因素
Guangxi
development level of open economy
temporal and spatial changing
GeoDetector
influencing factor