During land expropriation, it is difficult to form a real antagonistic relationship between farmers and the local Government due to disparities, which means the confrontations between them are difficult to administer. The confrontation between both parties could lead to the distortion of the farmers’ resisting logic, who are supposed to be in a vulnerable position. Hence, the farmers are not necessarily in a weak position; sometimes, they even have advantages compared with the local governments. Through the combination of Quiggin’s rank-based expected utility theory and evolutionary game theory, this paper constructs a conflict-induced game mechanism Rank-Dependent Expected Utility Theory (RDEU) evolutionary game model and discusses the evolution law of strategic behavior of land-expropriated farmers and local governments under the influence of emotion. The software simulation results show that when the farmers at the weak side think that the probability of the government adopting the strong strategy is higher than a certain cut-off point, the farmers will use the weapon of the weak to release the signal that endangers the order and force the government to adopt a compromise strategy by utilizing authoritative preference for stability. Through the interaction of heterogeneous beliefs between farmers and the government, the game of land expropriation will form an evolutionary stable equilibrium.

In China, the housing bubble is not only an economic issue but also an important social and political issue. According to game theory, the housing bubble is an equilibrium result of the interaction between policy environment and participants’ behavior. In this process, due to the interaction between speculation, regulation, and emotions, the development and evolution of the housing bubble are faced with uncertainty. Different from traditional econometric analysis, this article adopts the evolutionary game analysis method in order to establish a multi-stage evolutionary game analysis framework for the housing bubble. Firstly, by analyzing the emotional perceived value of related subjects under optimism, pessimism, and uncertainty, this article explores the mechanism of emotional perceived value on the housing bubble under the condition of inconsistent policy objectives. Secondly, it introduces emotional perceived value into the evolutionary game analysis framework of housing bubbles and analyzes the strategic combination and game equilibrium between investors and local governments under different emotions. Finally, taking Hainan province as an example, it conducts a MATLAB numerical simulation on the uncertain evolution of the housing bubble and proposes a staged strategy combination to deal with the housing bubble. The results show that: (1) emotional perceived value is affected by policy environment; (2) changes in the strength of policy effects make emotional perceived value change, which has different incentive effects on investors’ speculation and local governments’ regulation; (3) there are differences in emotional perceived value in different stages, which improves the uncertainty of the game equilibrium result between investors and local governments; and (4) considering the evolutionary characteristics of the housing bubble in different stages, its countermeasures should not only prevent insufficient regulation but also avoid excessive regulation. The above conclusions can provide theoretical and practical references for predicting the behavior of real estate investors, identifying the evolution mechanisms and rules of real estate bubbles and formulating relevant regulatory policies.

Promoting the transfer of rural land is an important way for many developing countries to improve the efficiency of rural land use and develop the rural economy. A reasonable income distribution scheme (IDS) is the key to enhancing farmer willingness to participate in the transfer of rural construction land use rights. However, little attention has been paid to farmers’ preference for the IDS of the transfer of rural collective construction land use rights. This research aims to detect the farmers’ preference for IDS in the process of rural collective land rights transfer. Based on the survey data of 489 farmers in Liuyang City, Hunan Province and Deqing County, Zhejiang Province, China, a random parameter Logit model is used to explore their preference for the IDS of the transfer of rural collective construction land use rights. The results show that, in general, the farmers focus on the income distribution ratio and pension in the IDS, which will significantly improve their utility. There are obvious regional differences in their preference for IDSs. For example, farmers in Liuyang prefer payment in shares, while those in Deqing prefer cash. Thus, the IDS for the transfer of rural collective construction land use rights should be based on the basic principle of ensuring fair land value-added income for the farmers, increased payment forms with social security functions, and reasonable IDSs in accord with the preferences of farmers in different regions, so as to enhance farmer willingness to participate.

Against the backdrop of emerging markets and the transitional society, the large-scale start-up of real estate development projects has brought about rapid economic growth and accelerated urban expansion, followed by extreme disputes between social groups. This paper aims to effectively solve the real dilemma of urban housing expropriation by obtaining a consensus regarding the fairness of compensation standards among expropriation compensation-related subjects. Three behavioral preferences—profit-seeking fairness, loss aversion and interactive fairness—were added to a multidimensional fairness equilibrium evaluation indicator system of urban housing expropriation compensation. The entropy method was used to calculate their weights. A multidimensional fairness game model and a multidimensional fairness equilibrium evaluation method based on compromise multi-criteria decision-making VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) of urban housing expropriation compensation were constructed to combine different strategic schemes of related subjects for the purpose of obtaining the compromise optimal solution, that is, the multidimensional fairness game equilibrium solution. The stability of the multidimensional fairness game model and the objectivity of the multidimensional fairness equilibrium evaluation were tested and verified through case data analysis and sensitivity analysis. The conclusion is drawn that the multidimensional fairness game equilibrium solution can effectively resolve extreme disputes regarding urban housing expropriation.

The main purpose of this paper is to study the influence of game players’ behavior preferences on the strategy choice and equilibrium results in the game process of large-scale engineering projects’ extreme disputes. In contrast to the self-interested preference and completely rational assumptions of traditional economics, this paper focuses on the discussion of loss aversion preference and fairness preference against the background of incomplete information about the game subject. Considering the influence of the decision-makers’ multidimensional preferences, this paper establishes a three-party game model for the government, the project construction units, and the public. Furthermore, the equilibrium results of four different types of extreme disputes are deduced using the game method. We deduce the evolutionary paths and equilibrium characteristics and discuss them in combination with actual cases in China in an attempt to provide theoretical support and scientific analysis tools to avoid serious disputes and conflict decision results. Through research, this paper finds that the transformation of prior beliefs, the role of multidimensional preference sets, and a lack of information between the game players in the game process are key to the evolution of project disputes into extreme dispute decisions.

Although the compensation for house expropriation has increased significantly in recent years, the conflicts persist. The subjects in the expropriation process have multiple behavioral preferences, such as self-interest, loss aversion, and inequity aversion, and the expropriation process is hampered by extreme disputes on expropriation compensation. In order to make the houseowners agree to the expropriation immediately and tackle the root of extreme disputes, this paper establishes a two-stage sequential game model involving local government and two houseowners, analyzes the different payoff situations under multidimensional preferences, and finds out the optimal compensation standard. Then, through a case analysis, the TOPSIS method is used to determine the ideal strategy when the houseowners are simultaneously considering three preferences. The optimal compensation standard’s value is discovered to be significantly influenced by the houseowners’ behavioral preferences, but the compensation cannot be raised by excessive attention to the reference point and other houseowners.