Resource regulation and green innovation: Evidence from China's water rights trading policy

Environmental Research, Journal Year: 2024, Volume and Issue: 258, P. 119443 - 119443

Published: June 21, 2024

Language: Английский

Research on Bi-Level Objective Programming Model of Water Resources Uncertainty Based on Water Rights Trading—A Case Study of the Yehe Irrigation District in Hebei Province, China

Water, Journal Year: 2024, Volume and Issue: 16(12), P. 1751 - 1751

Published: June 20, 2024

Water resource allocation systems typically involve multi-level decision-making, with each level having distinct goals and interests, while being influenced by various factors such as social, economic, environmental, policy planning. The decision-making in water is characterized complex uncertainty dynamic changes. In light of this, this study integrates stochastic chance-constrained programming, bi-level goal rights trading to construct a objective programming model based on trading. not only effectively represents the random uncertainty, characteristics, interests levels, planning requirements policies but also utilizes market mechanisms enable compensated transfer rights, fully leveraging role marketization allocation. Taking Yehe River Irrigation District Hebei Province China an illustrative case study, specific scheme stage under guaranteed rate 50% 2025 results sub-region are obtained. Compared resources without trading, show that consumption per CNY ten thousand GDP(WG)of irrigation district decreased 3.42%, economic benefits Luquan District, Jingxing County, Pingshan Yuanshi County increased 19.17%, 7.19%, 15.11%, 4.94%, respectively. This improves regional use efficiency provides scientific basis for

Language: Английский

Does water rights trading cause economic losses from agricultural water scarcity? Evidence from 264 Chinese cities

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 307, P. 109233 - 109233

Published: Dec. 12, 2024

Language: Английский