Systematic analysis of the coordination degree of China's economy-ecological environment system and its influencing factor

Research on benefit allocation based on multi-weight H-Shapley value: A case study of express logistics sharing

Urban last-mile express delivery in China encounters several challenges. This paper presents the establishment of a sharing logistics center aimed at enhancing the overall efficiency of urban last-mile express delivery while optimizing the utilization of essential resources. The successful implementation of shared delivery within sharing logistics center necessitates the creation of a robust collaborative mechanism. Recognizing that cooperative benefit allocation is dynamically influenced by factors such as resource input, operational efficiency, risk management, and other cost-related considerations, this study introduces a multi-weight H-Shapley value method for benefit allocation. By conducting empirical analyses of urban last-mile express delivery in Beijing within a sharing logistics service framework, our findings reveal that the revised benefit allocation model better aligns with the interests of participating entities and positively correlates with their contributions. Analyzing the impact of delivery volume and express operational costs changes, it is found that when the delivery volume and express operational costs of the sharing logistics center change, the benefits of participating enterprises move in the same direction. The benefit allocation model established in this study enriches the existing body of research in the field of shared delivery and offers valuable insights for benefit allocation issues that necessitate consideration of the dynamic effects of multiple parameter variations.

Establishment of an Evaluation Index System of Competencies for College Senior Students in General Practice Medicine in Anhui Province, China

Background

The competencies of college senior students in general practice medicine have attracted attention. This study aimed to construct an evaluation index system of competencies for college senior students in general practice medicine and to promote the reform and optimization of training programs for general medicine talent in colleges.

Methods

The two-round Delphi method was used to determine the evaluation index system of competencies for college senior students in general practice medicine, and the analytic hierarchy process (AHP) was used to calculate the weights of all levels of elements.

Results

The evaluation index system of competencies for college senior students in general practice medicine was established with 3 primary factors, 9 secondary factors and 32 tertiary factors. The Delphi results revealed that the active coefficient of experts was 1 and the authority coefficient was 0.858. The 3 primary factors were knowledge level, job skills and professionalism with weights of 0.1532, 0.4207 and 0.4261, respectively. Among the secondary factors, the top three weight coefficients were professional ethics (0.2614), community practice (0.1526) and communication skills (0.1308). Among tertiary factors, "scientific research" exhibited the lowest value with a weight coefficient of 0.0049.

Conclusion

In this study, we constructed an evaluation index system of competencies for college senior students in general practice medicine. The consensus on the content of the competencies of college senior students in general practice medicine suggests that these elements are necessary for those who will become general practitioners. This system can be used as the basis to evaluate the ability of college senior students in general practice medicine and provide guidance for the cultivation and evaluation of general medicine talent.

Coupling Coordination Analysis of Regional IEE System: A Data-Driven Multimodel Decision Approach

Coordinating regional innovation–economy–ecology (IEE) systems is an important prerequisite for overall continuous regional development. To fully understand the coordination relationship among the three, this study builds a data-driven multimodel decision approach to calculate, assess, diagnose, and improve the regional IEE system. First, the assessment indicator system of the regional IEE system is established. Secondly, the range method, entropy weight method, and weighted summation method are employed to calculate the synthetic developmental level. Thirdly, a multimodel decision approach including the coupling degree model, the coordination degree model, and the obstacle degree model is constructed to assess the spatiotemporal evolution characteristics of the regional IEE system coupling coordination and diagnose the main obstacles hindering its development. Finally, the approach is tested using Anhui Province as a case study. The results show that the coupling coordination degree of the Anhui IEE system presents a stable growth trend, but the coupling degree is always higher than the coordination degree. The main obstacle affecting its development has changed from the original innovation subsystem to the current ecology subsystem. Based on this, some countermeasures are put forward. This study, therefore, offers decision support methods to aid in evaluating and improving the regional IEE system.

An evaluation index system for regional mobile SARS-CoV-2 virus nucleic acid testing capacity in China: a modified Delphi consensus study

Background

Large-scale detection has great potential to bring benefits for containing the COVID-19 epidemic and supporting the government in reopening economic activities. Evaluating the true regional mobile severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus nucleic acid testing capacity is essential to improve the overall fighting performance against this epidemic and maintain economic development. However, such a tool is not available in this issue. We aimed to establish an evaluation index system for assessing the regional mobile SARS-CoV-2 virus nucleic acid testing capacity and provide suggestions for improving the capacity level.

Methods

The initial version of the evaluation index system was identified based on massive literature and expert interviews. The Delphi method questionnaire was designed and 30 experts were consulted in two rounds of questionnaire to select and revise indexes at all three levels. The Analytic Hierarchy Process method was used to calculate the weight of indexes at all three levels.

Results

The evaluation index system for assessing the regional mobile SARS-CoV-2 virus nucleic acid testing capacity, including 5 first-level indexes, 17 second-level indexes, and 90 third-level indexes. The response rates of questionnaires delivered in the two rounds of consultation were 100 and 96.7%. Furthermore, the authority coefficient of 30 experts was 0.71. Kendall’s coordination coefficient differences were statistically significant (P < 0.001). The weighted values of capacity indexes were established at all levels according to the consistency test, demonstrating that ‘Personnel team construction’ (0.2046) came first amongst the five first-level indexes, followed by ‘Laboratory performance building and maintenance’ (0.2023), ‘Emergency response guarantee’ (0.1989), ‘Information management system for nucleic acid testing resources’ (0.1982) and ‘Regional mobile nucleic acid testing emergency response system construction’ (0.1959).

Conclusion

The evaluation system for assessing the regional mobile SARS-CoV-2 virus nucleic acid testing capacity puts forward a specific, objective, and quantifiable evaluation criterion. The evaluation system can act as a tool for diversified subjects to find the weak links and loopholes. It also provides a measurable basis for authorities to improve nucleic acid testing capabilities.

Conflict or coordination? Assessment of coordinated development between socioeconomic and ecological environment in resource-based cities: evidence from Sichuan province of China

The relationship between socioeconomic and ecological environment becomes a significant factor influencing the regional sustainable development of resource-based cities (RBCs); how to coordinate the relationship between socioeconomic growth and ecological environment is the key problem to achieve sustainable development goals of RBCs. A comprehensive evaluation indicator system was constructed to research the coupling coordination level of RBCs in this paper; the dynamic DM model and the CCD model were adopted to measure the comprehensive level of the coupling coordination degree between socioeconomic and ecological environment of the 9 resource-based cities from 2008 to 2018 in Sichuan province. The results showed that the coupling coordination level was not ideal. Only two cities were located to the moderate coordination, and other cities were located to the primary coordination or tiny coordination. In addition, there was a significant difference between SE and EE, and the comprehensive evaluation score of SE was lower than that of EE in eight RBCs, which accounts for 88.89%. Based on this, we analyzed the reasons for the backward development of the socioeconomic system of the resource-based cities in order to provide relevant references for the transformation of the RBCs. Finally, the policy suggestions for the sustainable development of different types of RBCs were provided, involving improving the policy and financial support for enterprise transformation, promoting high-new technology to improve production efficiency, strengthening government guidance on industrial layout, stabilizing employment, and improving the social security system. This study offers a model of China's experience that might be beneficial for achieving sustainable development goals (SGDs) of other cities and countries.

Establishing Performance Evaluation for Quality Inspection of Specialty Nurses

PURPOSE

The present study aimed to establish an index system for the performance evaluation of specialty nurses (SNs) in tertiary hospitals.

BACKGROUND

An objective index system for performance evaluation of SN has not yet been established in China.

DESIGN

A 2-round Delphi survey sought opinions from experts about the index system for SNs' performance evaluation in tertiary hospitals in China.

METHODS

Delphi survey was used to inquire approximately 20 experts from the fields of nursing management, nursing education, and clinical nursing. We determined the weight coefficient of each index of performance evaluation based on the opinion. Finally, the index of the quality evaluation was established for SN.

RESULTS

A total of 20 experts from 10 provinces in China reached a consensus on the tertiary indexes of the assessment model. The indexes contained first-level (4), second-level (16), and third-level (24) indicators. The 4 aspects of the performance evaluation, including clinical specialist practice assessment, nursing research, education assessment, medical cooperation recognition, and personal comprehensive ability assessment, reached consensus.

CONCLUSION

Establishing the performance evaluation for SNs aided the SNs in achieving the best clinical practice after training. The performance evaluation still needed to be continuously improved.

Eco-Economic Coordination Analysis of the Yellow River Basin in China: Insights from Major Function-Oriented Zoning

The ecological-economic coordination degree model is widely used to analyze eco-economic coordination relationships, but methods for determining the relative weights of the ecological and economic systems lack a scientific basis. Examining the Yellow River Basin based on Major Function-Oriented Zoning (MFOZ) in China, the study surveyed 42 experts and used the analytic hierarchy process (AHP)to calculate the ecological and economic weights of the different main function zones. It also improved the model and evaluated the coordination degree of the ecological economic system in 642counties of eight provinces in the Yellow River Basin from 1991 to 2015. The results indicate that (1) the ecological value of the basin increased from 823 billion Yuan in 2001 to 1142 billion Yuan in 2015; (2) the GDP shows a linear growth trend: high- and medium–high-value areas of per capita GDP are clustered around nine metropolitan areas, while cold spots are distributed in ecological protection and agricultural development zones; (3) the ecological and economic coordination of the river basin first rose and then declined; and (4) the coordinated development areas are concentrated in five urban agglomerations that are highly consistent with the per capita GDP hotspots.

Study on coupling coordination and spatiotemporal heterogeneity between economic development and ecological environment of cities along the Yellow River Basin

The Yellow River Basin (YRB) is an important ecological barrier and an important economic zone in China. Under the new requirements of realizing ecological protection and high-quality development of the YRB, the coordinated development of basin economic development and ecological environment is an urgent research topic. Taking 36 cities along the Yellow River Basin as samples, this paper constructs an evaluation index system of economic development and ecological environment. The coupling coordination model and geographical weighted regression were adopted to analyze the coupling coordination relationship between economic development and ecological environment from 2008 to 2017, and the influencing factors were analyzed. The results showed that (1) the coupling coordination of urban economic development and ecological environment along the YRB showed significant regional heterogeneity, forming a low-value sag of the Loess Plateau; (2) the regional hot spots in the downstream of the YRB continuously extended inland, while these in the midstream converged; (3) the coupling coordination degree between economic development and ecological environment is affected by factors such as population size, openness, and advanced industrial structure, and the intensity varies significantly among regions.