Accounting for 30.8% of the total economic volume of the western region by 2021, the "fourth pole" of China's economic development is progressively being established as the Chengdu-Chongqing twin-city(CCTC) Zone. Therefore, increasing Total Factor Energy Efficiency (TFEE) and reducing the disparities in energy efficiency amongst cities in the area are important for the economic development of the CCTC Economic Zone. Accordingly, this study employs an output-oriented, super-efficient DEA model with constant returns to scale to measure the total factor energy efficiency of 16 prefecture-level cities in the CCTC economic circle from 2006 to 2020. It also examines the spatial distribution and variation patterns of each city's prefecture-level total factor energy efficiency. Then, spatial autocorrelation and random forest were used to explore the interrelationship among the indicators of the drivers, and the variables were screened according to Gini importance, finally, PCA-GWR models and spatial panel regression models

The paper explores life value assessment methods in China from both the historical and modern perspectives. The historical perspective includes the death penalty ransom approach and government pricing approach, while the modern perspective contains the human capital method and willingness-to-pay method. The human capital method measures the economic value created by people and uses it as their life assessment value, and the willingness-to-pay method evaluates peoples’ life value indirectly through the trade-off between the death risk and benefit. The paper then puts forward improvement ideas for the two modern life value assessment models and proposes possible future research directions, meanwhile providing a reference for such practical issues as compensation policymaking for industrial injuries or deaths for the sustainable development of emerging countries.