RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2022, Vol. 31 >> Issue (10): 2109-2121.doi: 10.11870/cjlyzyyhj202210001

    Next Articles

Spatial Pattern and Driving Factors of Consumer Service Industry Development in Yangtze River Economic Belt

WANG Lei1,2, LI Xiang-yang1,2, WANG Xue-li1,2, LI Feng-bo1,2   

  1. (1.Institute for the Development of Central China,Wuhan University,Wuhan 430072,China;2.Economics and Management School,Wuhan University,Wuhan 430072,China)
  • Online:2022-10-20 Published:2022-10-27

Abstract: Studying the spatial pattern of urban consumer service industry development has important practical significance for increasing consumption demand, transforming the urban economic growth mode and promoting the high-quality development of the city. Based on POI data, the evaluation system of consumer service industry level was constructed. And then, the spatial distribution characteristics and influencing factors of consumer service industry level in 130 cities of the Yangtze River Economic Belt were analyzed by using variation coefficient, Theil index, ESDA and spatial Durbin model. The results show that: (1) the overall level of consumer services industry in the Yangtze River Economic Belt is not high, showing a distribution pattern of “high in the east and low in the west”; there are significant differences in the level of domestic consumer service industry among the upper, middle and lower reaches of the Yangtze River Economic Belt, which are the lower, middle and upper reaches from strong to weak. (2) The consumer service industry has significant global and local spatial autocorrelation characteristics, and the types of H-H and L-L clusters are more prominent, spatially expressing as “the high is constantly high, the low is constantly low”. (3) There are also obvious differences in the level of consumer service industry between and within urban agglomerations; the average level of consumer service industry in descending order is the Yangtze River Delta, Chengdu-Chongqing, Central Yunnan, Middle Reaches of the Yangtze River and Central Guizhou urban agglomeration; and the internal difference in descending order is the Chengdu-Chongqing, Middle Reaches of the Yangtze River, Yangtze River Delta, Central Yunnan and Central Guizhou urban agglomeration. (4) The enhancement of regional economic development, improvement of urbanization rate, optimization of industrial structure and increase of government financial expenditure exert positive effects on the improvement of consumer service industry level, and the rise of residents’ consumption level can effectively promote the development of consumer service industry in surrounding cities. (5) In the process of future urban development, it is necessary to not only actively implement urban renewal actions to improve the quality and efficiency of consumer service, but also to promote the market-oriented reform of consumer service to make the flow of various resources unimpeded.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LUO Nengsheng, WANG Yuze, PENG Yu, LI Jianming. EcoEfficiency of Urban Agglomeration in the Middle Yangtze River Basin: Spatial Analysis and Synergetic Promotion Mechanism[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(07): 1349 .
[2] ZHANG Mengwei, LV Chengwen. Spatial Variabilities of Topsoil Organic Carbon in Fengle River Basin[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(07): 1420 .
[3] GUO Shasha, HU Shougeng, , QU Shijin, . Multiscale Analysis of Farmland Landscape Dynamic Pattern in the Middle Reaches of the Yangtze River[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(07): 1455 .
[4] WEI Ru-hong, JIN Li, FANG Da. Study on the Spatial Infection of Real Estate Market Bubble Based on GIS in China: Case Study of 35 Metropolises in 2006 and 2014[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(09): 1967 -1977 .
[5] . Dynamic Evolution of Land Use Landscape Patterns in Mountainous Cities from 2000 to 2015:A Case Study of Yubei District in Chongqing[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .
[6] ZHANG Wenting. Scaling Effect on Spatial Variation of Farmland Soil Organic Carbon in Different Geomorphic Units in Jiangxi Province[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2619 -2628 .
[7] ZENG Yuan-yuan, HU Shou-geng, , QU Shi-jin, . Spatial-temporal Coupling of Traffic Location Change and Construction Land Expansion in the Middle of Yangtze River Economic Belt[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(12): 2651 -2662 .
[8] YANG Yuan-qin, REN Ping, HONG Bu-ting, . The Study of Land Use Conflict Based on Ecological Security of the Chongqing Section of Three Gores Reservoir Area[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(02): 322 -332 .
[9] WANG Qian, WANG Yun-qi, MA Chao, WANG Bin, LI Yi-fan. Characteristics of Carbon Fluxes and Their Response to Environmental Factors in Ecosystems of Mixed Coniferous and Broad-leaved Forests in Jinyun Mountain[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(03): 565 -576 .
[10] LU De-bin , , MAO Wan-liu , YANG Dong-yang , ZHAO Jia-nan . Analysis on the Trend and Influencing Factors of PM2.5 in China Based on Multi-source Remote Sensing Data[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(03): 651 -660 .