Study on the Measurement of the Development Level of Common Prosperity

Constructing a comprehensive prosperity evaluation index system from the dimensions of“affluence”and“commonality,”consisting of 23 detailed indicators,this study utilizes the entropy method and provincial panel data from 2011 to 2020 to measure the level of common prosperity across Chinese provinces.The research findings indicate an overall upward trend in the common prosperity development level among provinces during the sample period.Beijing,Shanghai,Zhejiang,Guangdong,and Jiangsu exhibit the highest common prosperity indices at the provincial level.From a spatial perspective,significant disparities exist in the common prosperity levels among different regions.Consequently,policy recommendations are proposed:Tailoring strategies for regional development based on realities,reinforcing regional coordinated development,and promoting the advancement of common prosperity.

Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

More and more ports appeared along China’s coastline, which destroyed natural coastline and coastal landscape. Some of them are inefficiency operations. It is important to evaluate operational efficiency of ports to reveal their position in regional competitive environment. In this study, high spatial resolution satellite remote sensing images were used to monitor ship number and plane area. The port-use prosperity index(PUI) was subsequently proposed to quantitatively describe port-use business and reveal port-use efficiency. The PUI was applied to six ports around the Bohai Sea, China. The number, scale, and plane of ships docked in these ports were easily monitored by the high spatial resolution satellite remote sensing images, and the PUI was calculated using a ship’s total plane area and length of docked coastline. The PUI is an objective and practical index for evaluating port-use efficiency. It can be used to compare differences in port use and indicate temporal port-use dynamics. The PUI values of Jingtang and Tianjin Ports were the highest(17.75 and 14.14, respectively), whereas that of Yantai Port was the lowest(8.31). The PUI values of the remaining ports were 9.0–10.70. A linear relationship existed between port throughput and PUI in the studied ports. This can forecast port throughput by monitoring and calculating PUI based on high spatial resolution satellite remote sensing images.

Analysis Report on Prosperity Index of China＇s Natural Gas Industry in 3Q 2017

The following outcomes can be observed according to the statistical analysis on the prosperity index of China’s natural gas industry:In the third quarter of 2017,the prosperity index of China’s natural gas industry was 53.67,which was in a normal business climate,slightly up compared with the prosperity index of 52.27 in the second quarter of 2017.The seasonal

Integrated water risk early warning framework of the semi-arid transitional zone based on the water environmental carrying capacity (WECC)

Water risk early warning systems based on the water environmental carrying capacity(WECC)are powerful and effective tools to guarantee the sustainability of rivers.Existing work on the early warning of WECC has mainly concerned the comprehensive evaluation of the status quo and lacked a quantitative prejudgement and warning of future overload.In addition,existing quantitative methods for short-term early warning have rarely focused on the integrated change trends of the early warning indicators.Given the periodicity of the socioeconomic system,however,the water environmental system also follows a trend of cyclical fluctuations.Thus,it is meaningful to monitor and use this periodicity for the early warning of the WECC.In this study,we first adopted and improved the prosperity index method to develop an integrated water risk early warning framework.We also constructed a forecast model to qualitatively and quantitatively prejudge and warn about the development trends of the water environmental system.We selected the North Canal Basin(an essential connection among the Beijing-Tianjin-Hebei region)in China as a case study and predicted the WECC in 25 water environmental management units of the basin in 2018–2023.We found that the analysis of the prosperity index was helpful in predicting the WECC,to some extent.The result demonstrated that the early warning system provided reliable prediction(root mean square error of 0.0651 and mean absolute error of 0.1418),and the calculation results of the comprehensive early warning index(CEWI)conformed to the actual situation and related research in the river basin.From 2008 to 2023,the WECC of most water environmental management units in the basin had improved but with some spatial differences:the CEWI was generally poor in areas with many human disturbances,while it was relatively good in the upstream regions with higher forest and grass covers as well as in the downstream areas with larger water volume.Finally,through a sensitivity analysis of the indicators,we proposed specific management measures for the sustainability of the water environmental system in the North Canal Basin.Overall,the integrated water risk early warning framework could provide an appropriate method for the water environmental administration department to predict the WECC of the basin in the future.This framework could also assist in implementing corresponding management measures in advance,especially for the performance evaluation and the arrangement of key short-term tasks in the River Chief System in China.