长江流域资源与环境 >> 2020, Vol. 29 >> Issue (4): 785-798.doi: 10.11870/cjlyzyyhj202004001

• 区域可持续发展 •    下一篇

产业集聚与城市用水强度:降低还是提升——基于中国285个地级及以上城市的经验分析

闫桂权1,2,何玉成1,2,张晓恒1,2,杨钰蓉1,2   

  1. (1.华中农业大学经济管理学院,湖北 武汉 430070;2. 华中农业大学湖北农村发展研究中心,湖北 武汉 430070)
  • 出版日期:2020-04-20 发布日期:2020-06-12

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

摘要: 摘  要: 基于2006~2016年中国285个地级及以上城市的面板数据,利用动态面板数据的系统GMM方法和面板门限回归模型探究产业集聚形态对城市用水强度的影响。在此基础上,分别引入经济发展水平、基础设施建设水平和就业密度作为门限变量检验集聚形态与用水强度的阶段性特征。研究发现:专业化产业集聚能够实现正向技术溢出并降低城市用水强度;多样化产业集聚同样对城市水资源利用发挥节约效应。不同产业集聚形态与城市用水间的关系在城市规模的调节下,均呈现出明显的区制转换特征;随着经济规模扩张,产业集群渐进饱和,水资源争夺态势加剧,水资源配置效率降低;当城市基础设施有限时,过度集聚超越区域承载能力,引致企业对公共基础设施恶性竞争,产业集聚对城市水资源配置正向溢出效应难以发挥;当就业密度进一步提升时,专业化产业聚集的路径依赖机制可能诱发技术锁定效应;由于多元化的知识基础,多样化产业集聚的劳动力池效应更明显,协同学习能力提升将催生绿色技术进步并发挥节水效应。

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] 陈 诚,陈 雯 . 盐城市沿海的适宜开发空间选择研究[J]. 长江流域资源与环境, 2008, 17(5): 667 .
[2] 田晓四, 陈 杰,朱 诚,朱同林. 南京市经济增长与工业“三废”污染水平计量模型研究[J]. 长江流域资源与环境, 2007, 16(4): 410 .
[3] 于秀波,张 琛,潘明麒. 退田还湖后替代生计的经济评估研究——以洞庭湖西畔山洲垸为例[J]. 长江流域资源与环境, 2006, 15(5): 632 -637 .
[4] . 气候资料高精度模拟与土地利用动力学方法在中国水文规划中的应用(论文摘编)[J]. 长江流域资源与环境, 2006, 15(5): 649 .
[5] 张心怡,刘 敏,孟 飞. 基于RS和GIS的上海城建用地扩展研究[J]. 长江流域资源与环境, 2006, 15(1): 29 -33 .
[6] 罗小龙, 陈雯, 金志丰. 南京城郊结合部拓展的机制、问题与对策[J]. 长江流域资源与环境, 2008, 17(2): 175 .
[7] 胡茂林,吴志强,常剑波 . 鄱阳湖南矶山自然保护区鲤、鲫的随机扩增多态DNA分析[J]. 长江流域资源与环境, 2007, 16(3): 314 .
[8] 赵姚阳,濮励杰,胡晓添. BP神经网络在城市建成区面积预测中的应用——以江苏省为例[J]. 长江流域资源与环境, 2006, 15(1): 14 -18 .
[9] 何云玲. 漫湾电站库区降雨侵蚀力时空变化[J]. 长江流域资源与环境, 2009, 18(1): 66 .
[10] 戴天晟 孙绍荣 赵文会 顾宝炎. 区域水资源可持续利用评价的FAHP-PP模型[J]. 长江流域资源与环境, 2009, 18(5): 421 .