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During the past 40 years of reform and opening-up, the implementation of an unbalanced enhancement strategy has led to severe resource misallocation, making the mitigation and rectification of this misallocation an urgent issue. This paper utilizes urban data from China between 2006 and 2020 to examine the impact of two-way foreign direct investment (FDI) on resource misallocation, as well as the pathways through which coordinated advancement of two-way FDI affects resource misallocation. After undergoing a series of robustness and endogeneity tests, the conclusion remains stable. Mechanism testing reveals that coordinated advancement of two-way FDI improves capital resource misallocation by enhancing the enhancement level of the financial industry, while exacerbating labor misallocation by increasing labor costs. This paper integrates the coordinated advancement of two-way FDI and resource misallocation into the same analytical framework, proposing policy recommendations to alleviate China's resource misallocation issue. [ABSTRACT FROM AUTHOR]

[Display omitted] • The study used the NDDF model to measure the efficiency of urban pollution reduction and carbon synergistic governance. • We identified the spatial aggregation patterns of urban pollution reduction and carbon synergistic governance efficiency. • We compared the magnitude of the drivers of urban pollution reduction and carbon synergistic governance efficiency. • There is an east-high and west-low development pattern of carbon mitigation. • The findings suggest enhancement of the capability of urban coordinated governance in carbon mitigation. This paper is based on the construction of the evaluation system of urban pollution reduction and carbon reduction synergistic governance efficiency indicators. Firstly, we used the NDDF model to measure the efficiency of urban pollution reduction and carbon reduction synergistic governance. We then used the ArcGIS technology and spatial autocorrelation method to explore its spatial distribution pattern, and the spatial econometric model is used to explore its driving factors. The results show that from 2006 to 2020, the synergistic governance efficiency of Chinese cities in terms of pollution reduction and carbon reduction is in a state of continuous improvement, with an increase of 38.07 per cent in 2020 compared with 2006, and overall the synergistic governance efficiency of cities in terms of pollution reduction and carbon reduction shows a pattern of development in which the east is high and the west is low, but there is a tendency for the gap to narrow from one year to the next. There is a positive spatial aggregation of urban pollution reduction and carbon synergistic governance efficiency, which is further shown by the Lisa aggregation diagram that the spatial aggregation of urban pollution reduction and carbon synergistic governance efficiency in China is characterized by urban agglomerations, with the high and high aggregation zones being concentrated in the central and eastern urban agglomerations, such as the urban agglomerations of the middle reaches of the Yangtze River and Guangdong-Fujian-Zhejiang, and the low and low aggregation zones being concentrated in the western urban agglomerations, such as the Lanzhou-Western urban agglomerations and the Guanzhong Plain urban agglomerations. The results of the SDM model indicate that the efficiency of urban pollution reduction and carbon synergistic governance can significantly promote the process of pollution reduction and carbon synergistic governance in neighboring areas. The six drivers, namely, industrial structure, economic development level, innovation level, urbanization rate, population size and foreign direct investment, all have a significant impact on the efficiency of urban pollution reduction and carbon synergistic governance in a local area. The spatial spillover effects of the remaining variables, except for urbanization rate, on the efficiency of urban pollution reduction and carbon synergistic governance are significantly negative. Based on this, corresponding countermeasures are proposed to improve the synergistic governance of urban pollution reduction and carbon reduction. [ABSTRACT FROM AUTHOR]

This paper mainly investigates how 2008's Beijing Olympic Games affects environmental efficiency of China's cities. First, we evaluate environmental efficiency through metafrontier directional distance function (DDF), and compare environmental efficiency in different region from static and dynamic perspectives. We also analyze the different treatment of before Olympic Games, during Olympic Games, after Olympic Games on different groups. We find that TGR in the east is the highest, which indicates that environmental production technology in the east has relatively less difference than other three regions. During Olympic Games positively affected environmental efficiency in Beijing, which negatively affected on environmental efficiency under metafrontier in neighbor cities. After Olympic Games positively affected environmental efficiency in Beijing and co-host cities, however, which has insignificant effect on environmental efficiency in neighbor cities. We try to propose some policy implication. First, it is import to develop high-end industry and lengthen value chain of China's secondary industry. Furthermore, it is necessary to improve environmental threshold of FDI and attract clean FDI, which can decrease environmental pollution. Last, China will host 2022 Winter Olympic Games. It is important to use more environmental-soundly building material, and increase clean renewable energy public bus, which can promote green Olympic Games. [ABSTRACT FROM AUTHOR]