RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2019, Vol. 28 >> Issue (06): 1262-1275.doi: 10.11870/cjlyzyyhj201906002

Previous Articles     Next Articles

Spatial Pattern and Its Influencing Factors of Informationization Level at County Level in Yangtze River Economic Belt

LIU Xiao-yang1, HUANG Xiao-dong2, DING Zhi-wei1   

  1. (1. College of Environment and Planning / The Centre for the Regional Development and Planning, Henan University/Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions,Ministry of Education, Kaifeng 475004, China;2. The Center for Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001,  China)
  • Online:2019-06-20 Published:2019-06-20

Abstract: Informatization has become one of the important driving in regional modernization and comprehensive strength. Based on 719 study units in the Yangtze River Economic Belt at county scale, this paper builds an evaluation system with four key elements which contain 9 specific indicators to measure the level of regional informatization, and the four key elements are informatization development environment, the level of informatization infrastructure, informatization innovation capability and the level of networking information consumption. This paper aims to reveal differences in the spatial distribution characteristics of the counties and the factors influencing their development level, by means of using a comprehensive method of mean-variance weighting method, spatial interpolation, exploratory spatial data analysis and kernel density estimation. According to the research, four highlights are unveiled:(1) Overall the informationization level shows the significant regional differences, with the eastern coastal cities higher than those in the western interior at county scale in Yangtze River Economic Belt. Moreover, the high informationization level tends to be distributed in the Yangtze River Delta.(2) From the pattern of spatial auto-correlation, the level of informationization appears significant spatial agglomeration characteristics, that is means the number of the High-High regions(HH regions) and the Low-Low regions(LL regions) occupy most and the spatial agglomeration pattern is obvious. The significant HH areas are mainly distributed in Jinhua, Shaoxing, Wenzhou, Suzhou, Nantong, Changzhou, ect. The significant LL areas have mainly concentrated in Quanjiao, Hexian, Zongyang, ect.(3) From the result of kernel density estimation, the spatial level of informationization in the Yangtze River Delta becomes more obvious in the different search radius. The high density is centrally distributed in the Yangtze River Delta.(4) According to the spatial characteristics of informationization level, the mainly impact factors include geographic conditions, the level of economic development, the strategic policy, the personnel training and the innovation of science and technology.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] HUI Jie-, HE Xiu-Bin-. ANTHROPOGENIC IMPACTS ON THE SEDIMENT LOAD VARIATIONS IN THE JIALING RIVER BASIN[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2010, 19(2): 196 .
[2] YUAN Xiaoling, LI Zhengda|LIU Bolong. DYNAMIC COMPREHENSIVE EVALUATION OF REGIONAL ENVIRONMENTAL QUALITY FOR CHINA——BASED ON POLLUTION EMISSIONS[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2013, 22(01): 118 .
[3] HU Yang1,2,YU Hui2,LI Zhongqiang1. EFFECTS OF WET DEPOSITION ON WATER QUALITY AND PRIMARY PRODUCTIVITY IN THE MEILIANG BAY OF LAKE TAI[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2014, 23(01): 75 .
[4] WANG Jue1,2, YUAN Feng1. COMPREHENSIVE EVALUATION OF COMPACTNESS BASED ON THE CITIES EVOLUTION TREE MODEL[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2014, 23(06): 741 .
[5] HUANG Rui, LU Yu-qi, LU Meng-qiu. PROJECTION OF ENERGY CONSUMPTION CARBON EMISSION PEAK FOR JIANGSU, ZHEJIANG AND SHANGHAI UNDER DIFFERENT ENERGY POLICIES[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2017, 26(01): 15 -25 .
[6] CHEN Ying,HU Meng-ke,FANG Yong. RESEARCH ON SHIFT ROUTE OF GRAVITY CENTER AND COUPLING COORDINATION RELATIONSHIP OF LAND USE DEGREE AND ECONOMIC DEVELOPMENT IN WUHAN[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2017, 26(8): 1131 .
[7] GAO Jie-zhi , ZHENG Hua-wei, LIU You-zhao. Diagnosis of the Multi-functionality of Land Use Based on an  Entropy Weight TOPSIS Model[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2496 -2504 .
[8] QIU Yu , CHEN Ying-zi , RAO Qing-hua , LIN Xiu-zhu , CHEN Wen-hua. Trans-regional Eco-Compensation Research of Minjiang River Basin Based on Pollution Rights[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(12): 2839 -2847 .
[9] HUANG Xiao-hui, WANG Li-li, LU Qian. Capital Endowment Influencing on Farmers Value Perception of Soil and Water Conservation Technology——Take the Loess Plateau as An Example[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(01): 222 -230 .
[10] GUO Guan-cheng, PENG Zi-xin, ZHOU Zhi-wei. Impact of Industrial Enterprise Type of Macro Perspective on Industrial Land Use Efficiency[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(02): 241 -249 .