Has the Water Rights Trading Policy Improved Water Resource Utilization Efficiency?

Implementing natural resource protection systems and improving regional water resource utilization efficiency are effective ways to resolve the contradiction between economic development and water resource poverty. To this end, this paper establishes a Difference-in-Difference (DID) model to analyze the impact of water rights trading pilot policies (WET) in 271 prefecture-level cities in China from 2006 to 2023 on water resource utilization efficiency (WEE). The research results indicate that (1) WET significantly improved WEE, while confirming the robustness of this effect; (2) WET exhibit significant heterogeneity in their policy effects on WEE, reflecting pronounced differences between northern and southern cities in terms of geographical location and water resource endowment. In cities with abundant water resources, this promotional effect is even more pronounced; (3) market vitality and water conservation benefits can positively promote the impact of WET through regulatory mechanisms. Based on this, expanding the pilot cities for water rights trading policies and enhancing market vitality can effectively improve WEE and alleviate the current situation of water resource poverty in the region.

Authors

Institutions

Publication Details

Journal
Water
Published
2025-12-05
DOI
https://doi.org/10.3390/w17243459
Primary Topic
Water resources management and optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Has the Water Rights Trading Policy Improved Water Resource Utilization Efficiency?

Juntao Du, Pei Du, Qingqing Liu
Water
Water resources management and optimization
article

Has the Water Rights Trading Policy Improved Water Resource Utilization Efficiency?

Juntao Du, Pei Du, Qingqing Liu
article en

Abstract

Implementing natural resource protection systems and improving regional water resource utilization efficiency are effective ways to resolve the contradiction between economic development and water resource poverty. To this end, this paper establishes a Difference-in-Difference (DID) model to analyze the impact of water rights trading pilot policies (WET) in 271 prefecture-level cities in China from 2006 to 2023 on water resource utilization efficiency (WEE). The research results indicate that (1) WET significantly improved WEE, while confirming the robustness of this effect; (2) WET exhibit significant heterogeneity in their policy effects on WEE, reflecting pronounced differences between northern and southern cities in terms of geographical location and water resource endowment. In cities with abundant water resources, this promotional effect is even more pronounced; (3) market vitality and water conservation benefits can positively promote the impact of WET through regulatory mechanisms. Based on this, expanding the pilot cities for water rights trading policies and enhancing market vitality can effectively improve WEE and alleviate the current situation of water resource poverty in the region.

WaterVol. 17(24)
Jiangnan University (CN), Anhui University of Finance and Economics (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Anhui University, Anhui University of Finance and Economics, Young Scientists Fund
Openalex Percentile: Top 52%
Water resources management and optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Has the Water Rights Trading Policy Improved Water Resource Utilization Efficiency? — Juntao Du, Pei Du, et al. · Water (2025) | TGRS Research Map | TGRS