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Public participation in environmental management (PPEM) in China has become increasingly prominent; thus, investigating the factors that underlie participation by the Chinese public in environmental management is important. To this end, we adopted unique data for PPEM, which was measured based on environmental complaints logged by the telephone hotline set up by the Ministry of Ecology and Environment of China. We observed that PPEM greatly varied from one city to another, indicating significant spatial heterogeneity. In addition, complaints were mainly concentrated in four large regions, namely, the North China Plain, the Yangtze River Delta, the Pearl River Delta, and the Chengdu-Chongqing urban agglomeration. Next, a newly developed spatial heterogeneity analysis method, namely, geographical detector, was applied to investigate the driving factors of PPEM. From the factor detector analysis results, we confirmed that the economic level, energy consumption, urban population, college-educated population, wastewater, environmental risk, SO2 emissions, and PM2.5 concentrations were the dominant factors that caused citizens to voice environmental complaints. In addition, we noticed that moderately developed cities were the leading risk areas, which indicated that these cities had serious environmental pollution problems and their citizens actively voiced complaints. As economies continue to grow, the populations in these cities are projected to become more aware of environmental quality and will implement stricter regulations to protect the environment and lower complaints. Moreover, the interaction detector analysis results revealed that the interaction of urban and college-educated populations with other factors played more important roles in affecting PPEM. [ABSTRACT FROM AUTHOR]

• An evaluation method was used to assess eco-efficiency scores of 284 Chinese cities. • Spatio-temporal variations of the eco-efficiency scores of 284 cities were analyzed. • Transition effects of foreign direct investment (FDI) on eco-efficiency was examined. • FDI exhibits a pollution halo effect in the later stage of economic development. Foreign direct investment (FDI) has not only been considered to be an important economic engine to promote economic growth in China, but also has played a pivotal role in the ecological environment. Empirically, it may exhibit two conflicting effects, namely, pollution haven effect and pollution halo effect. Hence, it is of great significance of re-examine the effects of FDI on the ecological environment. To this end, we emphasize and identify the transition effects of FDI in the different stages of economic development. In this first step, we employed an extended data envelopment analysis (DEA) method to evaluate the eco-efficiency scores of 284 Chinese cities from 2005 to 2016, based on multi-source data including remote sensing image data and statistical data. In the second step, a panel smooth transition regression (PSTR) model was applied to explore the transition effects of FDI on eco-efficiency. The main findings are as follows. (1) The average eco-efficiency scores presented a U-shaped curve during the sample period. Specifically, it firstly declined from 2005 to 2013, and then the decreasing trend was reversed after 2013. (2) The results of spatial heterogeneity test showed that recently the Low-Low spatial clustering was mainly concentrated on the Central Plain urban agglomeration and the northwestern region while the High-High spatial clustering could be found in three regions, namely the Yangtze River urban agglomeration, the Pearl River Delta urban agglomeration, and the Chengdu-Chongqing urban agglomeration. (3) The results of the PSTR models revealed that FDI exhibited different effects on eco-efficiency in the different stages of economic development. Specifically, in the lower stage of economic level, FDI has a negative effect on eco-efficiency. The main reason could be the pollution haven effect. The rapid economic growth causes the increase in environmental awareness. Hence, when the economic level passed a certain threshold (about 79, 000 RMB), FDI contributed to the improvements of eco-efficiency scores, indicating that it became to exhibit the positive pollution halo effect. To conclude, the transition effects of FDI on eco-efficiency have been confirmed. Besides, we also observed that innovation capacity and education level were the foremost contributors to the enhancement of the eco-efficiency of Chinese cities. [ABSTRACT FROM AUTHOR]