Local communities and their opinion on shale gas exploitation (SGE) play an essential role in the implementation of energy policies, while little is known about the reasoning process underpinning the acceptance of SGE. The present study develops a conceptual framework to examine the psychological process of residents’ acceptance of local SGE, in which the impacts of trust, knowledge, and fairness are mediated by risk and benefit perceptions. Structural equation modeling has been applied to analyze the hypothesized relationships based on a dataset of 825 households in China’s largest shale gas field. Our results indicate that residents’ perceived fairness and trust positively affect their benefit perceptions and negatively affect their risk perceptions, which results in positive influences on acceptance, and knowledge of SGE’s environmental impacts positively affects perceived risks, which results in a negative influence on acceptance. Moreover, residents’ acceptance is primarily determined by their benefit perception, followed by perceived fairness, and knowledge is the least important determinant. Thus, our study contributes to the literature by exploring the structural relationships between various psychological predictors and the acceptance toward SGE, and the results from our empirical survey provide insight into designing appropriate strategies in the process of generating and communicating shale policies.

With the rapid development of artificial intelligence, the labor market is constantly impacted. In order to explore the spatial relationship of AI development in different regions and the impact of technological progress on labor market, spatial autocorrelation test and individual time fixed effect model were used. The results show that there is a significant positive spatial dependence on the development level of artificial intelligence in China’s provinces. At present, the development of artificial intelligence leads to employment polarization in the labor market of China. Therefore, promoting the balanced development of regional artificial intelligence and encouraging the horizontal transfer of labor force will alleviate the negative impact of artificial intelligence.

With the rapid rise of aging population in China, the problem of ageing is becoming increasingly prominent. With the rapid development of digital economy, the effective combination of digital technologies such as Internet and a large number of innovative subjects has produced new benefits and values. How to make use of the "combination of medical treatment and endowment" pension model under the background of digital economy has become an increasingly prominent issue. This article, based on the perspective of digital economy, analyzes the status quo, responds to opportunities and challenges of the "combination of medical treatment and endowment", finally puts forward countermeasures and suggestions to perfect the mode of "combining medical care with nursing care" in China, so as to meet the multi-level needs of the elderly under the background of digital economy, and promote healthy aging and improve the well-being of the elderly.

With the rapid development of cities in China, the social phenomenon of urban villages has emerged at the same time. Although urban villages contain a large number of migrant populations and relieve the pressure of housing in cities, problems of public security and environment force the reconstruction of urban villages to be necessary. This paper thinks that the transformation of urban villages will produce the problems such as simple transformation methods, difficult coordination of interests and neglect of the interests of migrant populations, and it puts forward suggestions including a targeted planning plan, formulation of reasonable compensation programs, coordination of multiple benefits and consideration of housing problems and pressure of migrant populations.

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