Multi-scale near-long-range flow measurement and analysis of virtual water in China based on multi-regional input-output model and machine learning

The virtual water strategy (VWS) is an effective tool to balance regional water resource endowments and guarantee water supply security. However, because of self‐interested games around VWS (human decision bias), there is a need for methods to maintain reliable cooperation between governments, virtual water (VW) enterprises and research institutions. This study builds a multi‐agent evolutionary game model to analyse the relationship of players and their impacts on VWS through changing decision mechanisms and the paths to enhance their confidence in cooperation. Considering differences in initial willingness to cooperate and changing factors affecting payoffs, an evolutionary game can produce changing stable equilibriums or stable cooperations, even if some players are reluctant to cooperate. Therefore, to promote the development of VWS, a multistep support mechanism can be built for the VW industry, which fosters model enterprises and optimizes the cooperation framework to stimulate research innovations at scientific institutions.

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Multi-scale near-long-range flow measurement and analysis of virtual water in China based on multi-regional input-output model and machine learning

Cited by 4 publications

References 41 publications

Unveiling the unequal variation of regional carbon risk under inter-provincial trade in China

Unveiling the unequal variation of regional carbon risk under inter-provincial trade in China

Understanding the role of energy sector in the outbreak of epidemic in China: An analysis based on SEIDR epidemic model, dynamic input-output model and resource allocation DEA model

Government‐industrial‐research cooperation in virtual water strategy: A multi‐agent evolutionary game analysis

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