Yangtze River delta industrial economy is thriving on water with water use issues, long constrained by water resource and water environment. Under a guideline of water resource management concept of “determining and measuring water, strengthening the rigid constrains of water resources”, paying attention to water resources conservation and water enviroment protection and promoting regional green development are the key to breaking through the bottleneck of industrial development. This paper, focusing on the double constraints of water resource and water environment on industrial economic green development, studies the industrial green GDP and its development efficiency changes and regional variance in Yangtze River delta under the double constraints. Based on Yangtze River Delta three provinces and one city's 2006-2019 data, this paper uses adjusted resource loss value to amount the industrial green GDP, which is used as output indicator, and applies super-efficiency SBM model to evaluate its industrial green development efficiency. The results show that the overall industrial green GDP proportion in Yangtze River delta has been rising over years, while a falling economic loss of consumption reduction and degradation, and an improving water resource wasting and pollution. Green development efficiency has been generally rising over years, with a diminishing variance with unconstrained development efficiency. Geographically, economic developing efficiency is at a higher level in Shanghai and Jiangsu, lower in Zhejiang and Anhui, indicating that industrial economy in Yangtze River delta has a less dependence on its water resource and environment, leaving a great room to improve. In order to decrease resource consumption and environmental costs and further to reduce the dependence of industrial economy on water resource and environment, and to improve industrial green developing efficiency, this paper presents suggestions on expediting resource utilization and environmentally technical innovation, reducing water consumption and wasting from source, decreasing industrial pollution to constrain a falling water quality, optimizing water resource pricing mechanism, balancing supply-demand, utilization efficiency, recycling rate, conducting differentiated pricings, and constructing a united water resource administration so as to diminish a regional variance. 

Ecological compensation performance evaluation is a key to determination of ecological compensation standard and to optimization of ecological compensation mechanism. This paper, aiming at evaluating ecological compensation performance of south-water-north-shift phase I water source, and based on the ecological compensation capital standard, provides references for improving ecological compensation mechanism. This paper uses APH-CRITIC weight-variable matter-element extension model by establishing evaluation index system of water resource ecological compensation, and studies dynamically its performance through ecological compensation standard of water source on which costs method, ecological servicing values, water source proportion coefficient, water supply coefficient, and policy importance coefficient. The typical variable value of performance evaluation level of south-water-north-shift phase I water source is 3.699 34, with standard range of ecological compensation capital [9 693.00, 14 559.75 (10 k RMB)], of which [2 011.50, 3 368.25] distributed to Yangzhou, [2 787.75, 3 327.75] to Shuqian, [3 732.75, 5 157.00] to Huaian and [1 161.00, 2 706.75] to Xuzhou. The performance level for water source is rated at good+, suggesting a good environmental protection in water source. The standard range of ecological compensation capital for water source is RMB97 to 146 million, of which Huaian receives the most, Xuzhou receives the least. Input of ecological compensation capital improves the evaluation indexes with a better performance. Ecological compensation in water source will boost eco-environmental protection, economic growth and livelihood, and further practices the concept of "green-water-green-mountain as gold-mountain-silver-mountain" to reach a harmonious development of human and nature.

To protect the fairness of trade pricing of water discharging rights and to promote effective execution of water discharging right trade, this paper establishes an asymmetric information barging model based on fairness-preferred trade pricing of water discharging rights, which adopts reverse induction to solve three-staged barging gambling balance. Matlab R2014a is used to analyze the impacts of parameters on premier pricing and gambling effect. The higher acceptable lowest compensation price by seller is or highest compensation price by buyer is, the higher premier price is. If the highest compensation price by seller equals to the lowest acceptable compensation price by buyer in increment, the increased asking premier price by the former is larger than the latter. Fairness preference and discounting factor have little direction impacts on premier pricing at different gambling stages. The lower the lowest compensation price accepted by seller is or the higher the highest compensation price paid by buyer is, meaning a larger barging range, the higher the gambling effect will be made by both sides. The larger the barging discounting factor by both is, the larger gambling effect will be acquired by both. As discounting factor rises, if fairness preference maintained at a certain level, the buyer's whole gambling effect level is lower that the seller even if buyer asks price first and both maintain an equal earning increment.

Initial allocation of stream water discharge right is a key factor in water right exchange mechanism, and a basis in promoting a fair water discharge and sustainable development. This paper, based on the research advances on rare resources allocation, presents an initial allocation model of water discharge right based on chaos optimization-projection pursuit by means of initial allocation methods of water right and waste water discharge right. Projection pursuit can avoid subjective evaluation, sample-driven optimization is more objective. Initial allocation proportion of water discharge right is finally determined through chaos optimization which is used to calculate the premium projection. Case study on Jiangsu section of Huaihe stream validates this method feasible, which covers historical loss, economic development and ecological environment that plays a leading role. The initial allocation proportion of central Jiangsu in Huaihe stream is generally higher than northern Jiangsu.