RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2020, Vol. 29 >> Issue (4): 785-798.doi: 10.11870/cjlyzyyhj202004001

    Next Articles

Industrial Agglomeration and Urban Water Intensity:Inhibition or Promotion——Based on the Experience Analysis of 285 Prefecture-level Cities or Above in China

QUYAN Gui-quan1,2, HE Yu-cheng1,2,ZHANG Xiao-heng1,2,YANG Yu-rong1,2    

  1. (1. College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China; 2. Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070, China)
  • Online:2020-04-20 Published:2020-06-12

Abstract: Abstract:Based on the panel data from 285 prefecture-level cities or above in China during 2006 and 2016, this article adapts the dynamic panel data model with System GMM estimation method and panel threshold regression model to disclose the effect of the specialized and diversified industrial agglomeration on urban water intensity. On this basis, the stage characteristics of different industrial agglomeration types and water use intensity are tested by introducing economic development level, infrastructure construction level and employment density as the threshold variables. The results indicate that: (1) Specialized industrial agglomeration alleviates the intensity of urban water by realizing positive technology spillover. (2) Similarly, diversified industrial agglomeration reveals a saving role in the process of urban water resource utilization. (3) Under the adjusting effect of urban scale, the relationship between different industrial agglomeration types and urban water intensity shows obvious characteristics of regime switching. (4) With the continued expansion of economic scale, industrial clusters will gradually become saturated, moreover, the situation of water resources competition will intensify, and the allocation efficiency of water resources will be reduced.(5) When urban infrastructure is limited, over-agglomeration exceeds regional carrying capacity, which will lead to vicious competition for public infrastructure and make it difficult to exert the positive spillover effect on urban water resources allocation. (6) In addition, as the employment density increases further, the mechanism of path dependence of specialized industrial agglomeration may induce technology lock-in effect. However, due to the diverse knowledge base, the labor pooling effect of diversified industrial agglomeration is more obvious, meanwhile, the improvement of collaborative learning ability will promote the green technology progress and bring water-saving effect into full play.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] CHEN Cheng, CHEN Wen. EVALUATION ON THE SUITABLE DEVELOPMENT LOCATION IN COASTAL AREA OF YANCHENG CITY, JIANGSU PROVINCE[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2008, 17(5): 667 .
[2] TIAN Xiao-si, CHEN Jie, ZHU Cheng, ZHU Tong-lin. MODELING THE LEVEL OF ECONOMIC GROWTH AND THE INDUSTRIAL "THREE WASTE"|POLLUTION  IN NANJING CITY[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2007, 16(4): 410 .
[3] YU Xiu-bo,ZHANG Chen,PAN Ming-qi. ECONOMIC ASSESSMENT OF ALTERNATIVE LIVELIHOOD IN THE CONTEXT OF WETLAND RESTORATION——A CASE STUDY OF XIPANSHANZHOU POLDER, DONGTING LAKE, CHINA[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2006, 15(5): 632 -637 .
[4] AXEL Thomas. MODELLING HIGHRESOLUTION CLIMATE DATA AND LAND USE DYNAMICS FOR HYDROLOGICAL PLANNING APPLICATIONS IN CHINA(IN BRIEF)[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2006, 15(5): 649 .
[5] ZHNAG Xin-yi, LIU Min, MENG Fei. EXPANSION OF URBAN CONSTRUCTION LAND IN SHANGHAI CITY BASED ON RS AND GIS[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2006, 15(1): 29 -33 .
[6] LUO Xiaolong, CHEN Wen, JIN Zhifeng. NANJING SUBURBAN AREA'S DEVELOPMENT MECHANISMS, PROBLEMS AND SUGGESTIONS[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2008, 17(2): 175 .
[7] HU Maolin, WU Zhiqiang, CHANG Jianbo. RAPD ANALYSIS OF GENETIC DIVERSITY OF CYPRINUS CARPIO AND CARASSIUS AURATUS IN NANJISHAN NATURE RESERVE IN POYANGHU LAKE[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2007, 16(3): 314 .
[8] ZHAO Yao-yang, PU Li-jie, HU Xiao-tian. APPLICATION OF BP NEURAL NETWORK IN THE PREDICTION OF URBAN CONSTRUCTION LAND AREA——A CASE STUDY OF JIANGSU PROVINCE[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2006, 15(1): 14 -18 .
[9] HE Yunling. SPATIALTEMPORAL DISTRIBUTION OF RAINFALL EROSIVITY INTHE STORAGE AREAS OF MANWAN HYDROPOWER STATION[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2009, 18(1): 66 .
[10] DAI Tian-Cheng-| SUN Chao-Rong-| DIAO Wen-Hui-| GU Bao-Tan-. EVALUATION OF THE SUSTAINABILITY OF WATER RESOURCE SYSTEM BASED ON FAHPPP MODEL[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2009, 18(5): 421 .