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Wildlife crime, especially in the notably hard-hit region of Sichuan and Chongqing, constitutes a pivotal research domain within green criminology research. Taking this region as the core research area, grounding our analysis in the theoretical framework of social-ecological systems theory, using spatial analysis, geo-detector and other methods, to explore the spatial and temporal distribution characteristics and influencing factors of wildlife crime in the Sichuan-Chongqing region. Study findings include the following: (1) wildlife crimes in the Sichuan-Chongqing regions mainly involve illegal hunting and killing precious and endangered wildlife, the species involved are predominantly birds and beasts, with the number of pheasants of the pheasant family, owls, and various snakes of the reptile family being the most numerous. The main body of the offence is far more men than women, and young adult Han people are often involved. The overall cultural level is low, and the main job is farming. (2) A single wildlife crime often involves a number of offenses; the most common criminal process involves (seller) hunting/hunting-killing-transportation-selling-(buyer) acquisition. (3) The overall inter-annual variation of the crime shows strong volatility, which can be divided into a gradual growth phase, a sharp decline phase and a sharp growth phase, the monthly distribution is high in November. (4) The overall pattern of "high incidence in the east and west and low incidence in the center" is shown in the city scale; in the county scale, the Shuangliu District of Chengdu City and Wanzhou District of Chongqing City are the most common. In microplaces, there are differences in the main places where offences are committed and transacted under different offences. (5) The occurrence of crime is mainly affected by the average annual temperature, total water resources, the state of natural ecosystems and other natural factors, male and female gender ratio, level of education, transport network density, ease of access and other socio-economic and cultural factors; the level of consumption of the population, the rate of natural growth and the combination of other factors have a significant impact on wildlife crime. The integrated crime pattern theory and rational choice theory suggest that by rationally considering multiple factors such as the natural environment (e.g. abundant wildlife resources and hidden habitats), the social environment (e.g. weak regulation, strong market demand or weak public awareness of protection) and their own psychological characteristics (e.g. the relationship between costs and benefits), offenders are more likely to convert their criminal intent into actual action, which will in turn The criminal intent is more likely to be transformed into actual action, thus contributing to the eventual occurrence of the criminal behaviour.

The crime of trafficking crime has a long period and high social harm, which can easily cause life-long memory trauma to the victims, which has aroused the attention of all walks of life. As a vulnerable group, minors are vulnerable to the crime of trafficking crime. Earlier related studies were mainly concentrated in the fields of law and sociology. The research on the analysis of minor trafficking crimes from a geographical perspective started late, and there was a lack of research on Yunnan Province, a high-incidence area of minor trafficking crimes. Therefore, based on the data of the public welfare platform "Baby Coming Home" website, this paper uses mathematical statistics, spatial analysis, and other methods to explore the spatiotemporal pattern and influencing factors of minor trafficking crimes in Yunnan Province from the perspective of minor victims. This study found that: 1) The inter-annual change of the crimes of trafficking minor in Yunnan province shows a strong concentration and fluctuation. The rise and fall of the number of crimes is closely related to the household registration reform system, the family planning policy, and the efforts to crack down on the crime of trafficking; In terms of age and gender, most of the trafficked minors came from rural areas, which tended to be younger; in terms of gender, there was a strong preference for younger males and older females. 2) From 1958 to 2019, the number of minor trafficking in Yunnan Province showed an "inverted V-shaped" fluctuation in time, and the high incidence period was from 1994 to 2005. 3) On the urban scale, the crime of trafficking gradually decreasing from the east to the west of Yunnan province. While trafficking was prevalent throughout the province, Qujing, Kunming, and Zhaotong had high incidence rates.On the county scale, it spreads from the Guandu district of Kunming city to the surrounding areas, the diffusion rate in the east is fast and the total number of crimes is high. 4) In terms of influencing factors, natural factors have the least impact on child abduction crimes, and there is no significant change in different time periods. Population factors are affected by regional culture, fertility preferences, and marriage and family systems, and become the dominant factor in the rapid growth period of child trafficking crimes. Social and economic factors have a significant effect on the high and low crime periods.

The effective asset of power grid is an important basis for the development of power grid enterprises and government regulation. Based on the value and functional characteristics of power grid assets, this paper establishes an evaluation index system for effective asset function of power grids. The analytic hierarchy process and entropy weight method are used to calculate the subjective and objective weights of each functional index, and the subjective and objective weights are combined by the method of squared deviation. The combined weights of the indicators are combined with the value engineering evaluation model to calculate the effective asset value coefficient, which is taken as the effective asset performance value. Finally, the relevant data of a provincial power grid enterprise for 2014-2018 is used. The established model is validated and the calculation results show that the established optimal model is feasible.