Industrial pollution control is a difficult problem in China’s current economic transformation, and the Chinese government has implemented many measures to deal with it. However, little research has focused on the relationship between land policy and industrial pollution. Based on the theoretical discussion of the mechanism influencing the market-oriented reform of industrial land (mainly refer to the marketization of land conveyance price and the openness of land conveyance process) on urban industrial pollution, we constructed an analytical framework by linking land policy with industrial pollution. Then, we constructed an econometric model and chose the statistical data of 104 large- and medium-sized cities in mainland China from 2003 to 2016. The results indicate that with the marketization of the industrial land conveyance price, urban industrial pollution is presenting an inverted U-shaped change trend. For cities in different development stages of industrialization, there is no difference in the impact of industrial land conveyance price on urban industrial pollution. However, the openness of industrial land conveyance promotes and inhibits the urban industrial pollution in the stages of industrialization and post-industrialization, respectively. Finally, this paper puts forward some suggestions on how to control industrial pollution from the perspective of further improving the industrial land conveyance mechanism.

With the rapid development of urbanization, the demarcation of the urban development boundary (UDB) is of great practical significance to curb the disorderly spread of urban land, avoid losing control of urban development space, and build a barrier to green development space. In this paper, we propose a method to support the demarcation of the UDB by combining the Maxent model and the cellular automata (CA) model. This approach comprehensively considers the relationship between urban construction suitability, neighborhood effect, spatial constraint, and random interference based on a spatio-temporal dynamic simulation. This contributes to the analysis of the driving mechanism and distribution pattern of urban expansion. According to the principle of scale expansion and centralization, the simulation result is modified to demarcate the UDB. The following conclusions are drawn: the Maxent-CA model can intuitively reflect the driving mechanism and accurately simulate urban expansion in specific cities, which contributes to demarcating the UDB. Considering that this method fully embodies the principle of combining top-down and bottom-up approaches in the demarcation of UDB, we argue that the Maxent-CA model is of vital importance for the sustainable development of the living environment and is of great reference value for territorial spatial planning.