资源科学 ›› 2021, Vol. 43 ›› Issue (4): 813-822.doi: 10.18402/resci.2021.04.15

• 水资源 • 上一篇    下一篇

治理模式差异视角下的城市水资源系统全要素生产率

王兵1, 祝葶1, 杜敏哲2()   

  1. 1. 暨南大学经济学院,广州 510632
    2. 华南师范大学经济与管理学院,广州 510631
  • 收稿日期:2020-06-22 修回日期:2020-10-18 出版日期:2021-04-25 发布日期:2021-06-25
  • 通讯作者: 杜敏哲,男,广东肇庆人,特聘副研究员,研究方向为资源与环境经济学。E-mail: minzhe_du@126.com
  • 作者简介:王兵,男,河南孟州人,教授,研究方向为资源与环境经济学。E-mail: twangb@jnu.edu.cn
  • 基金资助:
    教育部哲学社会科学研究重大课题攻关项目(17JZD013);广东省普通高校青年创新人才项目(2020WQNCX012);广州市哲学社科规划2020年度课题(2020GZGJ57)

Total factor productivity of urban water resources system from the perspective of governance mode differences

WANG Bing1, ZHU Ting1, DU Minzhe2()   

  1. 1. School of Economics, Jinan University, Guangzhou 510632, China
    2. School of Economics and Management, South China Normal University, Guangzhou 510631, China
  • Received:2020-06-22 Revised:2020-10-18 Online:2021-04-25 Published:2021-06-25

摘要:

科学测算水资源系统全要素生产率,对保障城市水资源系统的可持续运行意义重大。本文构建了由“供水-用水-净水”3个子系统组成的城市水资源系统,基于网络RAM模型和两期Luenberger生产率指数,测算了2004—2016年中国95个城市分别在独立、综合和合作治理模式下的水资源系统生产率,对比分析了不同治理模式下其驱动因素和耦合效应的差异。研究发现:①从全样本层面来看,中国城市水资源系统生产率的年均增速较低,并按综合型模式(0.488%)、合作型模式(0.463%)、独立型模式(0.292%)的顺序依次递减,但其增长都来源于技术进步,并且主要来源于用水子系统的贡献。②通过治理模式识别后,发现大多数城市适合综合型治理模式,且水资源系统生产率指数也有显著提高。因此,科学测算不同治理模式下的城市水资源系统生产率,实施差异化的水资源系统管理政策,对推动城市水资源系统的可持续发展具有重要的现实意义。

关键词: 城市水资源系统, 网络RAM模型, 两期Luenberger生产率指数, 治理模式, 耦合效应, 水资源系统管理

Abstract:

Measuring the total factor productivity (TFP) of water resources system scientifically can facilitate the sustainable operation of urban water resources system. Based on the water supply-water use-water purification subsystems and using the network range adjusted measure (RAM) model and biennial Luenberger productivity index, this study calculated the TFP of water resources system in 95 cities of China from 2004 to 2016 under independent, comprehensive, and cooperative governance modes, and comparatively analyzed its driving factors and coupling effects under the three governance modes. At the full sample level, the annual TFP of urban water resources system in China is low, and it decreases successively in the order of comprehensive mode (0.488%), cooperative mode (0.463%), and independent mode (0.292%). However, its growth is derived from technological progress and mainly from the contribution of the water use subsystem. After the identification of governance mode, we found that most cities are suitable for the comprehensive governance pattern, and under such governance mode, the TFP of water resources system is also significantly improved. Therefore, scientifically measuring the TFP of urban water resources system under different governance modes and implementing differentiated management policies have important practical significance for promoting sustainable development of urban water resources system.

Key words: urban water resources system, network RAM model, biennial Luenberger productivity index, governance mode, coupling effect, water resources system management