Entropy Weight TOPSIS Method Research Articles

Coupling coordination and spatio-temporal pattern evolution between ecological protection and high-quality development in the Yellow River Basin

The Yellow River Basin is one of the most important economic development belt and ecological management regions in China, it is of vital importance to study the coupling coordination between ecological protection and high-quality development. However, the systematic research from the perspective of ecological-production-living is still lacking. Therefore, a comprehensive evaluation index system including 29 indicators is constructed from ecological, production and living dimension. To evaluate the high-quality development level and coupling coordination degree of 61 cities in the Yellow River Basin, a comprehensive measurement model and coupling coordination model are established using the entropy weight TOPSIS method. With the help of ArcGIS, the spatial characteristics of high-quality development level and coupling coordination are visually illustrated. The results showed that: (1) From 2011 to 2020, the high-quality development of 61cities in the Yellow River Basin showed an increasing trend, and the level of upper and lower reaches was higher than that of the middle reaches. (2) According to the high-quality development level of 61 cities, it was divided into three types: sustainable growth type with 44 cities, the fierce fluctuation type with 11 cities and the other 6 cities was stable type. (3) The coupling coordination degree of ecology, production and living system also showed an increasing trend, while the degree was not high. (4)About the year-on-year growth rate of coupling coordination degree for 61 cities in 2020 compared with 2011, there are 19 cities more than 30 %, and 23 cities between 20% and 30 %, 11cities was 10%–20 %, the other 8 cities was less than 10 %. (5) There is a significant spatial difference in the level of high-quality development in the Yellow River Basin, while coupling coordination degree does not significant in spatial layout. Therefore, the development of different regions should adjust measures to local conditions, give full play to their advantages, and make up for their shortcomings to promote the overall development of the city.

The Impact of Parallel U-Turns on Urban Intersection: Evidence from Chinese Cities

As the number of motor vehicles in China’s cities continues to increase, the imbalance between the capacity that existing urban roads have for construction and the demand for motor vehicles is becoming increasingly evident. Indeed, the design of the intersection U-turn scheme has garnered significant attention from researchers. However, as the number of vehicles requiring U-turns increases, the traditional U-turn in the median or U-turn at the intersection fails to meet the timely demand for U-turns. In such cases, vehicles needing to make U-turns are required to queue first. As the queue length grows, it ultimately impacts the operational efficiency of the intersection. To optimize the imbalance between supply and demand at these intersections and promote the sustainable development of intersections, an innovative form of U-turn organization called the Parallel U-turn has been developed. In the engineering practice of reconstructing existing intersections or constructing new ones, it is crucial to investigate the compatibility between various U-turn design forms and traffic volumes. This exploration helps ensure that the chosen U-turn design effectively accommodates the specific traffic demands at the intersection. Therefore, in this paper, a typical intersection in Xi’an was chosen as the study intersection to investigate traffic data. The researchers calibrated and simulated four U-turn organization schemes using VISSIM microsimulation software. The four schemes included a traditional U-turn at the intersection, a Parallel U-turn at the intersection, a traditional U-turn in the median, and a Parallel U-turn in the median. Then, the researchers used the entropy-weighted TOPSIS method (EWTM) to evaluate the compatibility of each U-turn organization scheme for different traffic combinations. This assessment was conducted based on three criteria: operational efficiency, environmental protection, and safety performance. The results of this study indicate that the Parallel U-turn design is advantageous for the XiaoZhai intersection in Xi’an, China, under specific traffic conditions. When the traffic volume at the intersection exceeds 5940 vehicles per hour but remains below the intersection’s maximum capacity, implementing the Parallel U-turn design could yield positive outcomes in terms of operational efficiency, safety performance, and a reduction in intersection pollution. In summary, by enhancing operational efficiency, safety, and environmental impact, the Parallel U-turn design promotes the overall performance and sustainability of the XiaoZhai intersection and the transportation system in Xi’an, China.

Measurement of the integration level between the digital economy and industry and its impact on energy consumption

The integration of the digital economy and industry is the product of economic and social development and acts as an important driving force for conserving energy and reducing emissions. This study establishes the measurement index system of the integration level between the digital economy and industry from basis, conditions, and application of integration. Taking China as the research sample, this study chose 1999–2018 as the research period. The entropy weight TOPSIS method was employed to determine the integration level between the digital economy and industry. Next, a Bayesian vector autoregressive model was utilized to quantitatively analyze the impact of China's integration level between the digital economy and industry on energy consumption. The results indicate that China's integration level between the digital economy and industry shows a fluctuating upward trend with slow growth during the study period, and still has great development potential. The improvement of China's integration level between the digital economy and industry is conducive to the improvement of industrial energy efficiency, its consumption structure and environmental protection. Among them, the integration level between the digital economy and industry contributes the most to the change in the energy consumption structure and has the lightest impact on energy efficiency. Therefore, the government might make full use of green financial services to promote the integrated development of the digital economy and industry so as to achieve energy transformation and sustainable development.

The impact of green finance on the optimization of industrial structure: Evidence from China.

Green finance promotes the optimization of industrial structure and continuous improvement of ecological environment by supporting the development of green industries. Based on the panel data of 30 provinces in China from 2012 to 2020, this paper uses the entropy weight TOPSIS method to measure the development level of green finance and the level of industrial structure optimization in China, and constructs a panel data model to empirically test the impact of green finance on the upgrading of China's industrial structure. The study finds that there is still an imbalance and insufficiency in the development of green finance and industrial structure optimization in China. From 2012 to 2020, the development level of green finance and the level of industrial structure optimization in China have been continuously rising, but there is obvious heterogeneity, showing an eastern>central>western spatial pattern. Empirical analysis results show that at the significance level of 1‰, the development of green finance has a significant promoting effect on the rationalization and upgrading of the industrial structure. However, there is significant heterogeneity in the impact of green finance on industrial structure optimization. In terms of regional heterogeneity, at the significance level of 1‰, the role of green finance in promoting the optimization of industrial structure in central and western China is higher than that in eastern China, and the impact of green finance on China's industrial structure shows a spatial pattern of western>central>eastern China. In terms of industry heterogeneity, at the significance level of 1‰, green finance has a significant promoting effect on the development of green industries, and a significant inhibiting effect on the development of high-energy-consuming industries. Specifically, in the green industry, green finance has the greatest promoting effect on the communication and other electronic equipment manufacturing industry; in the high-energy-consuming industry, green finance has the greatest inhibiting effect on the black metal smelting and rolling processing industry, and the smallest impact on the petroleum, coal and other fuel processing industry. Finally, based on this, policy suggestions for green finance to support the optimization of industrial structure are proposed from two dimensions: government and financial institutions.

Analysis Of Wordle Games Based on Multiple Logistic Regression and Clustering

The development of social media has led to an increasing number of people participating in the online guessing game Wordle, which has become a popular phenomenon on Twitter. Understanding the difficulty of the Wordle game is important for both players and game designers. This article aims to gain an in-depth understanding of the game by analyzing its gameplay reports and word difficulty. Firstly, this article predicts the distribution of Wordle report results. Using a multivariate logistic regression model, the probability distribution prediction is converted into a classification problem, with word attributes and the average number of guesses per player as independent variables for prediction. At the same time, this article introduces random noise into the model prediction to address low probability issues. The model is evaluated using MAE and RMSE, and sensitivity analysis is conducted using k-fold cross-validation. In order to further evaluate the difficulty of words in the game, this article uses the entropy weight-TOPSIS method combined with the Bi-Kmeans classification model to classify word difficulty. The model results show that word difficulty can be divided into five categories. Finally, this article evaluates the performance of the model using Davies-Bouldin Index and the Silhouette Coefficient, and the results show that the model has strong reliability and persuasiveness.

Comprehensive Evaluation of the High-Quality Development of the Ecological and Economic Belt along the Yellow River in Ningxia

The measurement of high-quality economic development and regional research plays a crucial role in achieving ecologically led high-quality development. This paper aims to establish a comprehensive evaluation index system for the high-quality level of development in Ningxia’s Yellow River ecological and economic zone, focusing on five dimensions: innovation, coordination, green, openness, and shared. By employing a factor analysis, this study estimates the level of high-quality development along the Yellow River Ecological Economic Belt in Ningxia for the year 2020. A multi-index panel data factor analysis and entropy weight TOPSIS method are employed to analyze the spatiotemporal evolution characteristics of high-quality development across 10 counties from 2014 to 2020. The empirical findings reveal that, in 2020, the overall level of high-quality development in the region remained relatively low. Among the contributing factors, shared and coordinated development demonstrated the highest impact on high-quality development, while open, green, and innovative development showed limited influence. Only Xingqing District, Litong District, and Helan County in the 10 counties have a composite factor score of greater than 0 on the level of economic development, while the other 7 counties have a composite score of less than 0. The study also identified a significant spatial heterogeneity in the quality of high-quality development along Ningxia’s Yellow River Ecological Economic Belt. Through a cluster analysis, the regions along the Yellow River Ecological Economic Belt in Ningxia are classified into categories of high, medium, and low levels of quality development. Over the period from 2014 to 2020, each county exhibited a steady increase in high-quality development, while the differences in development levels among the 10 counties gradually diminished. Based on these findings, practical suggestions are provided to guide Ningxia in leading the path of high-quality development through ecological civilization construction along the Yellow River ecological economy.

Discussion on the impact of digital inclusive finance on high quality economic development: Empirical research based on cities in the Yangtze River Delta

The article combines the two main development lines of digital inclusive finance and high-quality economic development in the new era, with 41 cities in the Yangtze River Delta region as the research object. The digital inclusive finance development index is used to measure the level of digital inclusive finance development in cities, and the entropy weight TOPSIS method is used to measure the level of high-quality economic development in cities. A panel model is used to analyze the impact of digital inclusive finance on high-quality economic development. The conclusion is that the development level of digital inclusive finance is on the rise in all cities, but the regional development imbalance is also very obvious. Digital inclusive development has a positive promoting effect on the high-quality economic development of the Yangtze River Delta region. In addition, there is regional heterogeneity in the promoting effect of digital inclusive finance on high-quality economic development. With the improvement of urban level in the Yangtze River Delta region, the promoting effect of digital inclusive finance on high-quality economic development continues to improve. To this end, relevant policy recommendations are proposed. Firstly, to accelerate the development of digital finance and promote high-quality economic development. Secondly, to increase government investment and strengthen new infrastructure construction. Thirdly, to focus on information technology construction and enhance the level of digital technology. Fourthly, to deepen regional coordinated development and improve the quality of economic development.

Tomato performance and changes in soil chemistry in response to salinity and Na/Ca ratio of irrigation water

Although unconventional water can be applied as an alternative for agricultural production, inappropriate irrigation water quality may adversely affect the soil crop system. Thus, field experiments under mulched drip irrigation were performed over three years (2017–2019) to investigate the impacts of three salinity (1, 2 and 3 g·L−1) with five Na:Ca molar ratios (1, 3, 5, 7 and 9) of irrigation water on tomato plant growth, fruit development, soil salt accumulation and soil sodium adsorption ratio. The results showed that, with irrigation water salinity of 1 g·L−1, the critical value of irrigation water Na:Ca molar ratio for the high yield and dry matter accumulation was 3 and 5, respectively, while the threshold for high concentration of vitamin C and lycopene was 7. With the irrigation water salinity of 2 g·L−1 and 3 g·L−1, the Na:Ca molar ratio threshold for a high concentration of soluble solids, vitamin C and lycopene was 5. Moreover, considering the increase of plant nitrogen and phosphorus accumulation, the decrease of sodium adsorption ratio at 40–100 cm soil layer inside the film, and the diminution of soil salt accumulation at 0–100 cm layer, irrigation water with higher salinity and lower Na:Ca molar ratio was more proper than that with lower salinity and higher Na:Ca molar ratio. Based on the multi-objective optimization with entropy-weight TOPSIS method, irrigation water with a salinity level at 2 g·L−1 and the Na:Ca molar ratio at 5 was suggested for tomato planting in the Yinbei Yellow River Irrigation District, China.

Research on equity of medical resource allocation in Yangtze River Economic Belt under healthy China strategy.

This study aimed to assess the fairness of medical resource allocation in the Yangtze River Economic Belt, based on the Healthy China strategy. It aimed to identify the issues with resource allocation fairness and provide optimization suggestions. To assess the allocation fairness from a geographical population perspective, the study used the Health Resource Concentration and Entropy Weight TOPSIS methods. Additionally, the study analyzed the allocation fairness from an economic level angle, using the Concentration Curve and Concentration Index. The study found that the downstream area had higher resource allocation fairness than the midstream and upstream areas. The middle reaches had more resources than the upper and lower reaches, based on population concentration. The Entropy Weight TOPSIS method found that Shanghai, Zhejiang, Chongqing, and Jiangsu had the highest comprehensive score index of agglomeration. Furthermore, from 2013 to 2019, the fairness of medical resource distribution gradually improved for different economic levels. Government health expenditure and medical beds were distributed more equitably, while general practitioners had the highest level of unfairness. However, except for medical and health institutions, traditional Chinese medicine institutions, and primary health institutions, other medical resources were mostly distributed to areas with better economic conditions. The study found that the fairness of medical resource allocation in the Yangtze River Economic Belt varied greatly based on geographical population distribution, with inadequate spatial accessibility and service accessibility. Although the fairness of distribution based on economic levels improved over time, medical resources were still concentrated in better economic areas. The study recommends improving regional coordinated development to enhance the fairness of medical resource allocation in the Yangtze River Economic Belt.

The relationship between rural finance development and food ecological total factor productivity: Moderating effects of food science and technology progress

Achieving increased food production while reducing pollution emissions is an effective way to ensure food security and sustainable development. However, China's increased food production has been accompanied by resource depletion, ecological degradation and environmental pollution. The purpose of our study is to explore effective strategies to enhance food ecological total factor productivity (FETFP) in China. We considered the ecological value of food cultivation and used Global Malmquist-Luenberger (GML) index method to measure the FETFP. Besides, the entropy weight TOPSIS method is utilized to calculate the composite index of rural finance development. This study improves the precision of the measurement of rural financial development and FETFP variables. We innovatively examined the relationship between rural financial development and FETFP using Tobit model. And we used hierarchical regression analysis to test the moderating role of food science and technology progress in it. The results are as follows. (i)China's ecological value of food cultivation per hectare by region shows an upward trend. Rural finance development and FETFP tend to fluctuate upward in each region of China and the rate of increase is faster in the major food-producing regions (MFPR). (ii)Rural finance development does contribute to the improvement of FETFP. Interestingly, rural finance development in non food-producing regions (NFPR) has a greater impact on FETFP than in MFPR. (iii)Food science and technology progress moderates the relationship between rural finance development and FETFP. The regression results of group regulation show that food science and technology progress can play a stronger positive moderating role in lower FETFP provinces rather than higher FETFP provinces. This study is both a further exploration of total factor productivity improvement in food ecology and an extension of the research area of rural finance development planning.

Application of Entropy Weight TOPSIS Method in Financial Risk Assessment of Liquor Listed Companies

Taking 14 financial indicators of Shanxi Fenjiu from 2012 to 2022 as samples, this paper uses entropy weight TOPSIS method to establish a financial risk evaluation system from profitability, operating ability, debt paying ability and development ability, and makes a comprehensive evaluation on the financial risk status of Shanxi Fenjiu in recent 11 years. The results show that profitability and operating ability are the first-level indicators that have the greatest impact on financial risk. From the perspective of sub-divided second-level indicators, operating cost rate in profitability, inventory turnover rate in development ability, asset-liability ratio in debt repayment ability, and the proportion of total assets growth rate in development ability have the highest impact on the ranking results. The overall trend of financial risk of Shanxi Fenjiu in the past 11 years has shown "M" type fluctuations, and the recent risk level is relatively low. In order to effectively prevent risks, Shanxi Fenjiu should effectively control the sales expenses, balance the volume and price of products, improve the turnover efficiency, maintain the brand image, maintain the asset-liability ratio within a reasonable range, and strive to resolve the financial risks from the root, so as to enhance the financial value. The research results have certain reference significance for liquor listed companies to formulate reasonable financial management plan.

Evaluation of regional sustainable development of selected Chinese provinces

This study aims to investigate and evaluate the status of sustainable development in the Fujian, Guangdong, and Zhejiang provinces over a decade (2011-2020) using the quantitative analysis approach of the entropy weight TOPSIS method. Based on the 12th and 13th Five-Year Plans, this research analyzes the three provinces' social, economic, and environmental development using data collected from relevant economic and social sectors in China. The findings demonstrate that the sustainable development levels in the respective regions of these three provinces have improved, despite the impact of the COVID-19 pandemic during the study period. Drawing upon the 14th Five-Year Plan promulgated in 2021, the report provides recommendations for future social, economic, and environmental development in the examined region. The study's results have implications for similar regions seeking to achieve sustainable development goals.

Research on the Evaluation Technology of UAV Pilot Training Action Quality based on Entropy Weight-TOPSIS Method

The system composition and usage of UAVs are different from those of manned aircraft, and a large number of flight training sessions for UAV pilots can gradually make them understand and be familiar with the characteristics of UAV. In this paper, the quality evaluation indexes of UAV pilot training actions are sorted out and an evaluation model is constructed based on the Entropy Weight-TOPSIS method. Through application verification, the evaluation results of the model are consistent with the subjective evaluation results of flight instructors. The model can be applied to the evaluation of UAV pilot training actions quality, and at the same time has high evaluation efficiency.

Comprehensive Evaluation of Modern Service Industry in Anhui Province based on Entropy Weight TOPSIS Method

Modern service industry, as a significant symbol of modernization level, is an important engine to promote the upgrading of industrial structure and economic and social development, and has important practical significance for Anhui to achieve all-round high-quality development. This paper takes the modern service industry of Anhui province as the research object, constructs a comprehensive evaluation index system of modern service industry from four dimensions of development environment, development scale, development benefit and development potential, uses the entropy weight TOPSIS method to measure the development level of modern service industry of Anhui province, compares it with other provinces in central China, and identifies the problems and deficiencies in the development of modern service industry of Anhui province. And carry on the obstacle degree analysis, clear each index to Anhui modern service industry development level of the obstacle degree, and put forward the corresponding countermeasures and suggestions.

Spatiotemporal Distribution and Influencing Factors of Coupling Coordination between Digital Village and Green and High-Quality Agricultural Development—Evidence from China

With digital technologies injecting a strong impetus into China’s sustainable agricultural development, the digital village is a new path for Chinese agricultural development. This paper focuses on digital village and sustainable agricultural development, in which the situation of digital village and green and high-quality agricultural development in China from 2010 to 2019 is measured based on the entropy weight–TOPSIS method and coupling coordination model and further explores the spatiotemporal evolution of their coupling coordination. In addition, it studies the factors which influence the coupling coordination of digital village and green and high-quality agricultural development using a geographical detector. The study shows that both digital villages and green and high-quality agricultural development in China show good momentum. In terms of the spatial pattern, cities on the southeast coast witness better development of digital villages, and the southern regions enjoy a higher degree of green and high-quality development in agriculture. The coupling coordination between digital villages and green and high-quality agricultural development shows a fluctuating upward trend in the eastern regions. Some of the influence factors play a significant role in the coupling coordination of digital villages and green and high-quality agricultural development, such as e-commerce, per capita income, innovation, and levels of income and education. On this basis, we suggest that the government should continuously promote the development of digital villages and improve rural governance to bridge the digital divide. In this case, policies to promote green and high-quality agricultural development through digitalization can be introduced according to local conditions, thus enabling sustainable agricultural development with the empowerment of digitalization.

Comprehensive evaluation of urban talent development environment based on entropy weight-topsis method

For urban, the quantity and quality of talent is often an important measure of their development potential. Based on the theory of talent and environment comfort degree and the theory of urban comfort degree, this paper constructs the Evaluation Index System of urban talent development environment. This paper selects 7 coastal urban in Shandong province as the research objects, and uses entropy Weight-TOPSIS and cluster analysis to measure the talent development environment. The research results show that: (1) The talent development environment of seven coastal urban presents the phenomenon of “siphoning” and “distinctness” of talents. On the whole, Qingdao, Weifang, and Yantai have certain advantages in the talent development environment. (2) Qingdao is the leading city, Weifang, Yantai, Weihai and Dongying are follow-up urban, and Binzhou and Rizhao are backward urban. (3) The environment of the eight first-level indicators forms a “magnetic field” for the development of talents. Only by fully releasing the “magnetic field effect” of the talent development environment can urban ensure that talents are “attracted, retained and used well". This paper puts forward some suggestions to optimize the talent de-velopment environment in coastal urban, which will help to stimulate the vitality and creativity of all kinds of talents in coastal urban.

Security constrained economic dispatch: Considering contractual performance ability evaluating of power producers using TOPSIS method in spot market environment

In a high proportion of new energy environment, the influence brought by the high uncertainty of power generation side becomes increasingly prominent. The contractual performance ability of power producers directly affects the organizational difficulty of spot market. The entropy weight-TOPSIS method is used to comprehensively evaluate the ability of different power producers. According to the evaluation results, a day-ahead market multi-objective security constraint economic dispatch model is established, and the elitist non-dominated sorting genetic algorithm is used to solve the model. Taking IEEE New England 39-node system as an example, the rationality of the proposed evaluation method is verified, and the influence of considering the performance capability on each producer is analyzed in the market clearing stage. The results show that the competition of power suppliers in improving the reliability of power supply can be encouraged by considering the performance of power suppliers into the market clearing stage.

Combined Application of Coffee Husk Compost and Inorganic Fertilizer to Improve the Soil Ecological Environment and Photosynthetic Characteristics of Arabica Coffee

Excessive use of chemical fertilizers deteriorates the soil environment and limits the normal growth of Arabica coffee trees. In order to identify the optimal coupling mode of chemical fertilizer application and biomass return that enhances the soil ecological environment and promotes the photosynthetic efficiency of Arabica coffee, this study investigated the impacts of three levels of inorganic fertilizers (FL: 360 kg·ha−1, FM: 720 kg·ha−1, and FH: 1080 kg·ha−1) and three types of coffee husk returning methods (CB: coffee husk biochar, CC: coffee husk compost, CA: coffee husk ash) on the soil fertility, microbial amount, enzyme activity, and photosynthetic characteristics of the Arabica coffee root zone. The entropy weight-TOPSIS method was employed to evaluate the comprehensive benefits. The results showed that FM had the biggest effect on improving soil fertility, microorganisms, and enzyme activities compared with FL and FH. Moreover, compared to CA, CC significantly increased soil organic carbon, organic matter, and total nitrogen content. CC significantly enhanced the activities of soil phosphatase and urease, respectively, by 29.84% and 96.00%, and significantly increased the amount of bacteria, fungi, and actinomycetes by 62.15%, 68.42%, and 46.21%, respectively. The net photosynthetic rate (Pn), transpiration rate (Tr), and stomatal conductance (Gs) of FMCC were significantly higher than those of other treatments. The comprehensive benefit evaluation of the soil environment and photosynthetic characteristics by the entropy weight-TOPSIS method ranked FMCC first. Therefore, FMCC was the optimal coupling mode for fertilizer application and the coffee husk returning method. The findings of this study not only provide scientific guidance for fertilizing Arabica coffee but also clarify the proper approach to returning coffee husk to the field, thereby improving soil ecology and promoting green and efficient production of specialty crops.

Evaluation of Bus Driver's Driving Behavior based on Entropy Weight TOPSIS Model

In recent years, due to frequent traffic accidents caused by bus drivers' irregular driving behavior, the safe operation of buses has become the focus of social attention. How to reduce traffic safety hazards and build a smart transportation system is an urgent problem to be solved. This paper uses bus GPS data, considers seven driving behavior characteristics from the perspectives of economy, safety, and drivers themselves, and uses K-means clustering to preliminarily divide driving behavior types, and divides driving behavior into radical, general, and There are three types of caution, and a comprehensive evaluation model of driver's driving behavior based on the entropy weight TOPSIS method is proposed. By scoring the driving behavior of bus drivers, the drivers with bad driving behavior can be warned and trained in time to ensure the safety of passengers. The research results of this paper can provide a certain reference value for the establishment of a comprehensive evaluation system for bus drivers' driving behavior and the development of driving behavior training.

Risk Assessment Model of Carbon Emission Market Trading in Pilot Cities Based on Entropy Weight-TOPSIS Method

As an emerging trading mechanism, the carbon market has been widely promoted and paid attention to. On the basis of analyzing the current status of carbon emission market trading in my country’s current pilot cities, this paper considers 12 risk evaluation indicators from four dimensions of external risk, transaction risk, operational risk and management risk, and uses the entropy weight-TOPSIS method to establish a pilot city carbon emissions. Market transaction risk evaluation model, select the pilot city of Guangzhou to carry out empirical analysis. The results show that the operational risk has a greater impact on the pilot cities, and the corresponding risk evaluation indicators should be managed in order to improve my country’s carbon emission market system.