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Climate change and increasing demand of water aggravate the frequency and intensity of trans-boundary water conflicts, which are evolving into one of the most sensitive economic and social issues in trans-boundary areas. This paper analyzes the inefficiency of traditional regional negotiation models to deal with trans-boundary water conflicts, and argues that Coase's theory of property rights is more suitable for dealing with trans-boundary water conflicts. Based on the Bayesian evolutionary game model with incomplete information of property rights, we put forward the following two ways to promote the smooth progress of water rights trading and, furthermore, resolve water resources conflicts: first, to reduce the transaction costs of the upstream and downstream regions; second, to increase utilization efficiency of water resources in the upper reaches. Finally, taking the water conflict of Dayankeng Hydropower Station as a case simulation, we give answers to the three questions: (1) under what conditions, both sides of the conflicts will choose water rights trading; (2) what is the impact of transaction costs on water rights trading, which provided a new way to solve trans-boundary water conflicts; (3) what is the improvement of welfare effects of water conflict participants because of water rights trading.
Gui-Liang Tian; Ji-Ning Liu; Xiao-Yu Li; Ye-Qin Li; Hao Yin. Water rights trading: a new approach to dealing with trans-boundary water conflicts in river basins. Water Policy 2020, 22, 133 -152.
AMA StyleGui-Liang Tian, Ji-Ning Liu, Xiao-Yu Li, Ye-Qin Li, Hao Yin. Water rights trading: a new approach to dealing with trans-boundary water conflicts in river basins. Water Policy. 2020; 22 (2):133-152.
Chicago/Turabian StyleGui-Liang Tian; Ji-Ning Liu; Xiao-Yu Li; Ye-Qin Li; Hao Yin. 2020. "Water rights trading: a new approach to dealing with trans-boundary water conflicts in river basins." Water Policy 22, no. 2: 133-152.
With the imminent need of regional environmental protection and sustainable economic development, the concept of virtual water is widely used to solve the problem of regional water shortage. In this paper, nine provinces, namely Qinghai, Sichuan, Gansu, Ningxia, Inner Mongolia, Shaanxi, Shanxi, Henan, and Shandong in the Yellow River Basin (YRB), are taken as the research objects. Through the analysis of input-output tables of 30 provinces in China in 2012, the characteristics of virtual water trade in this region are estimated by using a multi-regional input-output (MRIO) model. The results show that: (1) The YRB had a net inflow of 17.387 billion m³ of virtual water in 2012. In interprovincial trade, other provinces outside the basin export 21.721 billion m³ of virtual water into the basin. In international trade, the basin exports 4334 million m³ of virtual water to the international market. (2) There are different virtual flow paths in the basin. Shanxi net inputs virtual water by interprovincial trade and international trade, while Gansu and Ningxia net output virtual water by interprovincial trade and international trade. The other six provinces all net output virtual water through international trade, and obtain the net input of virtual water from other provinces outside the basin. (3) From the industrial structure of the provinces in the basin, the provinces with a relatively developed economy, such as Shandong and Shanxi, mostly import virtual water in the agricultural sector, while relatively developing provinces, such as Gansu and Ningxia, mostly import virtual water in the industrial sector. In order to sustain the overall high-quality development of the YRB, we propose the virtual water trade method to quantify the net flow of virtual water in each province and suggest the compensation responsibility of the virtual water net inflow area, and the compensation need of the virtual water net outflow area, in order to achieve efficient water resources utilization.
Guiliang Tian; Xiaosheng Han; Chen Zhang; Jiaojiao Li; Jining Liu. Virtual Water Flows Embodied in International and Interprovincial Trade of Yellow River Basin: A Multiregional Input-Output Analysis. Sustainability 2020, 12, 1251 .
AMA StyleGuiliang Tian, Xiaosheng Han, Chen Zhang, Jiaojiao Li, Jining Liu. Virtual Water Flows Embodied in International and Interprovincial Trade of Yellow River Basin: A Multiregional Input-Output Analysis. Sustainability. 2020; 12 (3):1251.
Chicago/Turabian StyleGuiliang Tian; Xiaosheng Han; Chen Zhang; Jiaojiao Li; Jining Liu. 2020. "Virtual Water Flows Embodied in International and Interprovincial Trade of Yellow River Basin: A Multiregional Input-Output Analysis." Sustainability 12, no. 3: 1251.
贵良 田; Tian Guiliang; Hu YuCan; 雨灿 胡. 市场导向下大宗水权交易的差别化定价模型. 资源科学 2019, 41, 313 -325.
AMA Style贵良 田, Tian Guiliang, Hu YuCan, 雨灿 胡. 市场导向下大宗水权交易的差别化定价模型. 资源科学. 2019; 41 (2):313-325.
Chicago/Turabian Style贵良 田; Tian Guiliang; Hu YuCan; 雨灿 胡. 2019. "市场导向下大宗水权交易的差别化定价模型." 资源科学 41, no. 2: 313-325.
This paper analyzes the sensitivity of cargo transported by ports contributes to regional economic development from inside of port industry making specific port transport cargo as its research objective. Firstly, membership relation between port transport cargo and port industry is clarified before analyzing forward connections effect of port entry cargo to regional economy and backward connections effect of port leaving cargo to regional economy based on input–output model in this paper. Since ripple effect of various cargoes to economy is completed in many years, Taylor Expansion is used to peel off the current contribution of port transport cargo to regional economic development. Finally, an empirical research is conducted with data from Fujian Province. Conclusions draw from this research can serve for decision department of government to diagnose economic operation by ports promptly.
Guiliang Tian; Yi Zhuang; Jianzhong Hu; Xiujuan Guo. Sensitive Analysis of the Cargo Transported by Ports Contributes to Hinterland Economy Based on Input–Output Model. Computational Risk Management 2011, 109 -117.
AMA StyleGuiliang Tian, Yi Zhuang, Jianzhong Hu, Xiujuan Guo. Sensitive Analysis of the Cargo Transported by Ports Contributes to Hinterland Economy Based on Input–Output Model. Computational Risk Management. 2011; ():109-117.
Chicago/Turabian StyleGuiliang Tian; Yi Zhuang; Jianzhong Hu; Xiujuan Guo. 2011. "Sensitive Analysis of the Cargo Transported by Ports Contributes to Hinterland Economy Based on Input–Output Model." Computational Risk Management , no. : 109-117.