Urban land expansion, fiscal decentralization and haze pollution: Evidence from 281 prefecture-level cities in China.

Urban land expansion will influence aspects of economy and society, including the quality of the urban environment. This study aims to examine the impacts of urban land expansion in China on haze pollution under the fiscal decentralization system using the spatial Durbin model. Urban land expansion is measured using two dimensions of urban land expansion, namely, intensity and orderliness of the structure of urban land expansion. The results reveal that urban haze pollution in China exhibits significant positive spillover characteristics, which manifest as "high-high" and "low-low" characteristics of spatial agglomeration. In general, improving the expansion intensity of urban land and the orderly structure of urban land expansion can reduce haze pollution in local and surrounding areas. With the improvement of the degree of fiscal decentralization, the positive effect of an orderly urban land structure in reducing haze pollution will be weakened. The above-mentioned influences depict distinct heterogeneities at the levels of city size, type, and location.

Emotional Analysis Model for Social Hot Topics of Professional Migrant Workers.

Text makes up a large portion of network data because it is the vehicle for people's direct expression of emotions and opinions. How to analyze and mine these emotional text data has become a hot topic of concern in academia and industry in recent years. The online LDA (Latent Dirichlet Allocation) model is used in this paper to train the social hot topic data of professional migrant workers on the same time slice, and the subtopic evolution and intensity are obtained. The topic development is divided into four categories, and the classification model is created using SVM (Support Vector Machine). Instead of decision makers, a virtual human with sensibility and rationality is built using a hierarchical emotional cognitive model to solve multiobjective optimization problems interactively. It analyzes human body structure and emotional signals, and then combines them with visual and physiological signals to create multimodal emotional data. An example is used to demonstrate the effectiveness of the proposed model.

Entrepreneurial effect of rural return migrants: Evidence from China.

Entrepreneurship is an important means of economic development. Rural migrant workers returning home to start their own businesses can promote employment, alleviate poverty, and achieve rural development structural transformation of rural development. The entrepreneurial effect of rural return migrants is important for rural economic development. Using the data of the China Labor Force Dynamics Survey (CLDS thereafter) 2018 and China Household Finance Survey (CHFS thereafter) 2019, we analyze the entrepreneurial effects of return migrants upon their return to their hometowns. We construct a career choice model and build a mathematical model based on it to formulate the hypothesis. Then, we use the Probit regression model to test the hypothesis empirically. Results find that the rural return migrants can promote entrepreneurship among residents. Land circulation, human capital, and physical capital are stimulating factors in promoting the rural entrepreneurial activities of return migrants. We recommend that the government actively guide the rural return migrants to start businesses and provide security for entrepreneurial activities by upgrading various entrepreneurial elements.