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The core issue for China’s economy to shift from high-speed growth to high-quality development is to raise total factor productivity (TFP). Based on the data of A-share listed companies from 2013 to 2017 and the air quality monitoring data released by the China National Environmental Monitoring Centre, this paper conducts an empirical test on the relationship between haze pollution, labor productivity, and firm-level TFP by using the mediation effect test model. The results show the following: First, haze pollution will reduce a firm’s TFP. Second, labor productivity plays a partial intermediary role between haze pollution and a firm’s TFP. Haze pollution will not only have a direct negative impact on a firm-level TFP but also reduce a firm-level TFP by reducing labor productivity. Subsequently, the robustness test was carried out by means of a substitution of independent variables and dependent variables, and the results all supported the hypotheses in this paper. In addition, the heterogeneity of the industry and the ownership of listed companies was analyzed, and the two-stage least squares (2SLS) method was used to solve the endogeneity problem. The conclusions of this paper are helpful to clarify the relationship between haze pollution, firm factor productivity, and firm-level TFP. The paper’s findings also provide a practical basis for firms to further improve TFP from the perspective of air pollution problems such as haze.

Population aging is increasingly serious. The application of social robots for home-based elder care is an important way to solve this problem. Aging adults’ demands for social robots’ companionship affect robotic designs. This study aimed to investigate aging adults’ demands for social robots’ companionship and explored in which life situations it was appropriate to accompany aging adults by social robots. This study involved three phases. Phase 1 (an interview survey) collected the life situations in which aging adults lived alone at home. Based on the results of Phase 1, Phase 2 (a questionnaire survey) investigated aging adults’ demands for companionship, whereas Phase 3 (an expert evaluation) investigated the feasibility of the robots’ companionship for aging adults. After the three phases, this study compared aging adults’ demands for companionship with the feasibility of social robots’ companionship in each life situation. Based on the results, the life situations of dinning and watching TV, there was a greater likelihood that the companionship that aging adults needed might be provided by social robots. In the life situations of sleeping and short breaking, it was difficult that aging adults’ demands for companionship were fulfilled by social robots. Implications were discussed for home-based elder care system.

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