DEA Model Research Articles

A new model for efficiency estimation and evaluation: DEA-RA-inverted DEA model

A new model for efficiency estimation and evaluation: DEA-RA-inverted DEA model

Convex Isoquants in DEA Models with Selective Convexity

Convex Isoquants in DEA Models with Selective Convexity

Rebranding and SWOT Analysis of Geographical Indication Agricultural Products in Jilin Province under Digital Transformation

Abstract This paper uses the DEA model and the Malmquist index model to look at how well building a geographical indication brand for an agricultural product works in prefecture-level cities in Jilin Province. It also looks at how the performance of building a geographical indication brand for an agricultural product changes over time in prefecture-level cities in Jilin Province. Then, a brand competitiveness evaluation system was made up of regional elements, brand elements, industrial elements, and support elements. The level of development of agricultural product brand competitiveness in Jilin Province was looked at using fuzzy comprehensive evaluation and hierarchical analysis. The results of the evaluation were used to find the factors that affect the improvement of its brand competitiveness, which helped to map out the next steps for reshaping agricultural product brands in Jilin Province. The comprehensive evaluation of the brand competitiveness of agricultural products in Jilin Province has a specific score of 81.4, and the regional element, brand element, product element, and support element have specific scores of 82.01, 83.2, 81.66, and 80.7, respectively. This study provides references to promote the development of agricultural products’ geographical indications and to enhance the competitiveness of the corresponding brands, and it enriches and improves theoretical research on the competitiveness of the brands of agricultural products’ geographical indications.

An Exploration of Children’s English Picture Book Translation and Reading Teaching Based on Multiple Intelligences Theory

Abstract As far as the current situation of children’s English picture book translation and reading teaching is concerned, there exists the phenomenon that teachers pay little attention to translation and reading teaching, and the teaching effectiveness is low. This paper evaluates the translation and teaching of English picture books to children using the theory of multiple intelligences. The problem of data input and output is solved through the decision-making unit (DMU) as well as the C 2 R model composed of the DEA model. Based on the fuzzy comprehensive evaluation method and the target classification method to evaluate the students’ English learning quality and design the evaluation module, we construct the children’s picture book English teaching model under the combination of the DEA model and the multiple intelligences theory, and at the same time, we take the eight domains of the multiple intelligences theory as the evaluation indexes, combine the fuzzy comprehensive evaluation and the principle of the target classification method to evaluate the student’s learning quality of the English picture book translation and reading to analyze The status quo of children’s English picture book teaching under the theory of multiple intelligences as well as the teaching results, comparing the results of the students in the two classes and analyzing the data results statistically. Students are most interested in reading children’s English picture books when they are between 0 and 2.4. The experimental class has a higher translation skill score than the control class, with an increase of 2.79875, 2.225, and 1.975, and the translation part of the improvement is more effective.

Resource Advantages and Practical Paths of Rural Cultural Revitalization in the Context of Multimedia Era

Abstract The revitalization of rural culture is an important part of the comprehensive revitalization of the countryside in the new era and is of great strategic significance to the realization of the development goal of agricultural modernization. Guided by the value orientation of rural cultural revitalization, the article analyzes the characteristics of multimedia communication and the application strategy in rural cultural communication. Using Oracle as the data storage module and combining the B/S structure, a rural culture digital resource library was established, rural culture images were digitally converted through deep features, end-to-end detection was introduced to extract rural music audio, and a three-dimensional model was also established for rural cultural landscape. The DEA model was also combined with the Malmquist index to explore the utilization efficiency of rural cultural resources. The data on rural cultural revitalization in Province S were used to analyze the efficiency and change trends of its rural cultural revitalization, and the application of the digital resource library of rural culture was studied. The overall efficiency index of rural cultural revitalization practice increased by 7.21% between 2013 and 2023, the average value of the change in the Malmquist index was 1.037, the audience’s satisfaction with the rural cultural services was 3.48 points, and the experience assessment of digital resource library is 83.35 points. The revitalization of rural culture needs to focus on accessing multimedia platforms and relying on digital resource libraries to achieve the deepening of the scope of rural cultural communication.

Research on the operational efficiency of Chinese fintech companies based on the DEA model

Research on the operational efficiency of Chinese fintech companies based on the DEA model

Modeling the Investment Efficiency and Risk Assessment of Great Health Industry in the Context of Digital Economy

Abstract With the development of the economy and society, people pay more and more attention to physical health. In order to make the big health enterprises in the long term at the level of smooth development, it is necessary to carry out an in-depth study on the investment efficiency and potential risk of the big health industry. This study constructs an investment efficiency evaluation method based on the DEA model. Firstly, the comprehensive efficiency is decomposed through the CCR model to further obtain the output results. Then, the effectiveness of enterprise investment is evaluated. The changes in the investment efficiency of the big health industry and other sample decision-making units are analyzed through the DEA-Malmquist model to output the trend of the overall investment efficiency. Logistic regression, support vector machine, and random forest models are used to assess the risk of the large health industry, respectively, and several classifiers are trained. When predicting the final sample, the voting or mean value method is used to count the effect of classification. The overall mean value of big health enterprises hovered between 0.96 and 0.98 in five years, indicating that the comprehensive investment efficiency of the big health industry is relatively stable. The average AUC value of the random forest model is 0.635, which is 0.028 higher than the average AUC value of the support vector machine; thus, it is concluded that there is no great fluctuation in the investment efficiency of the big health industry under the background of the digital economy, and the random forest model is more suitable for the risk assessment of the big health industry.

Convex Isoquants in Dea Models with Selective Convexity

Models with selective convexity are an important class of data envelopment analysis (DEA) models. This type of model allows managers to consider variables such as ratios, averages, percentages, etc. The paper proposes algorithms for constructing input and output isoquants using volume variables in models with selective convexity. These algorithms help investigate the relationship between any volume variables in the model. Computational experiments confirm the reliability and efficiency of the proposed methods.

Convex Isoquants in DEA Models with Selective Convexity

Модели с частичной выпуклостью являются важным классом моделей анализа среды функционирования, поскольку позволяют корректно учитывать в моделях относительные показатели, средние значения, проценты и т.д. В данной работе предложены алгоритмы построения входных и выходных изоквант с использованием выпуклых показателей в моделях с частичной выпуклостью. Эти алгоритмы позволяют исследовать зависимость между любыми выпуклыми показателями в модели. Вычислительные эксперименты подтверждают надежность и эффективность предложенных методов.

Research on the efficiency evaluation of rural festivals based on DEA modeling

Abstract As a special form of cultural tourism, rural festival activities have a significant driving effect on regional development. Based on the DEA model, this paper constructs a three-stage DEA model by adjusting the decision-making unit and combines the Malmquist index method at each stage to establish a three-stage DEA-Malmquist’s efficiency assessment model to launch the research on the efficiency of rural festival activities. On this basis, the efficiency evaluation index system of rural festival activities was constructed, and 15 rural festivals in place M from 2015 to 2020 were selected as research objects, and the model was applied to analyze their static efficiency and dynamic total factor productivity. The study shows that in the first stage, there are 8 rural festival activities with a comprehensive efficiency greater than 1 (53.33%), and the comprehensive efficiency of the eastern and central parts of Land M is greater than 1, and the overall rural festival activities in this land are at a higher level. Seven rural festivals in Stage 1 had combined efficiencies greater than 1 (46.67%), with both East and Central having combined efficiencies greater than 1. Seven festivals (46.67%) in Stage 3 had combined efficiencies that were DEA effective, and the regional rankings of combined efficiencies for all four years between 2015 and 2020 were East>Central>West. The Malmquist Index mean before adjustment was 1.103, which was a 10.3% improvement, while the mean after adjustment was 1.091, which was a 9.1% improvement. Changes in technical efficiency and the rate of technological progress have a combined impact on the efficiency of rural festivals.

A new model for efficiency estimation and evaluation:DEA-RA-Inverted DEA model

A new model for efficiency estimation and evaluation:DEA-RA-Inverted DEA model

Evaluation of Ecological Efficiency and Analysis of Its Influencing Factors in Provincial Coastal Regions Using Integrated Super-Efficiency DEA and Tobit Models

Abstract With the rapid development of the Chinese economy, the demand for resources has increased significantly, putting the environment under increasing pressure. Effectively using various resources has become crucial. This study employs the Super-Efficiency Data Envelopment Analysis to assess ecological efficiency during the same period and conducts a residual analysis on cities with high efficiency but not efficiently analyzed by Data Envelopment Analysis. The primary objective of this approach is to investigate the potential ecological development of these regions. The dynamic assessment of ecological efficiency is done using the Malmquist index, which takes into account changes in the total factor output growth rate. To investigate factors that affect ecological efficiency and their magnitudes, a Tobit model is being established using panel data. From 2017 to 2022, there were changes in ecological benefits among cities in Zhejiang Province due to intense competition between high-efficiency cities and frequent position changes, as evidenced by the results. The gap between cities with middle to low efficiency is narrowing, which suggests that ecological benefits are being balanced in the province despite a decreasing trend. Both the degree of openness and the proportion of asset investment have a significant and positive impact on ecological efficiency. Enhancing interregional communication, optimizing resource allocation, increasing openness, and adjusting industrial layout is essential to sustain technological innovation and progress.

Evaluating Company Efficiency in Malaysian Stock Markets: Insights from DEA and Super Efficiency Models

Evaluating Company Efficiency in Malaysian Stock Markets: Insights from DEA and Super Efficiency Models

Research on the High Quality Development of Ice and Snow Sports Tourism Industry under the Integration of Sports and Tourism

Abstract With the successful bidding for the 2022 Beijing Winter Olympics, the ice and snow sports tourism industry has received extensive attention from society. In this paper, under the background of the integration of sports and tourism, we construct an efficiency assessment system for the ice and snow sports tourism industry and then use the entropy value method and coefficient of variation method to improve the DEA model and construct a combination-weighted SE-SBM model to explore the operational and developmental efficiency value of the ice and snow sports tourism industry. In addition, considering the changes in regional industrial productivity over time, the Malmquist index model is utilized to respond to the dynamic development efficiency of the ice and snow sports tourism industry. Finally, the development efficiency of the ice and snow sports tourism industry is analyzed based on the panel data of some regions in China from 2014-2023, in which the mean value of the development efficiency of Jilin and Heilongjiang reaches 1.22778. Among the influencing factors, the value of weight gained from expanding consumption is 0.5426, which is greater than that of the other three factors. This study proposes that expanding consumption is the key to promoting the development of the ice and snow sports tourism industry.

Evaluation of the double-cycle benefits of international engineering cooperation and the Western economy - based on the SFA methodology

Abstract In the era of globalization and development, international engineering cooperation is crucial to the improvement of economic efficiency in the West. This paper selects panel data from six regions in the West from 2019-2022 and selects reasonable input-output indicators and environmental variable indicators. At the first stage of the three-stage DEA model, the static measurement of Western economic efficiency is first measured using the variable scale compensation (BCC) model. The SFA model is utilized to decompose the slack variables during the first stage and adjust the input variables without affecting environmental variables. In addition, the Malmquist index model is used to analyze the efficiency of the Western economy dynamically in order to have a more comprehensive evaluation of the double-cycle efficiency of the Western economy from the perspective of dynamic and static. The results of the study show that after removing the effects of environmental factors and random errors, the average values of technical efficiency, pure technical efficiency, and scale efficiency in the third stage of all western regions have increased by 0.0175, 0.0193, and 0.0194 compared with those in the first stage, and the annual average total factor productivity index has shown a decreasing and then increasing trend. The SFA method used in the study can effectively eliminate the influence of environmental factors and random factors and evaluate the double-cycle efficiency situation of international engineering cooperation and the Western economy more comprehensively.

Evaluation of Water Resources Tax Policy in China Pilot Areas Based on Three-Stage DEA Model

Evaluation of Water Resources Tax Policy in China Pilot Areas Based on Three-Stage DEA Model

A new uncertain two-stage network DEA model based on chance-constrained programming

A new uncertain two-stage network DEA model based on chance-constrained programming

Exploration and efficiency assessment of the management model of higher vocational education with poa concepts

Abstract Current vocational high school management practices suffer from low efficiency, mainly due to inadequate backing from pertinent educational theories. In this study, the POA concept is first used as a guideline for the innovation of the management mode of higher vocational education, and 30 provinces, cities, and autonomous regions in China are taken as the research objects. Then, based on the output and input indicators, we constructed the efficiency assessment system of education management, used the DEA model to make static measurements of education management efficiency in 2020-2022, and further analyzed the dynamic evolution trend of the efficiency of higher vocational education management by using the Malmquist index. According to the results, less than 50% of higher vocational colleges and universities are classified as non-DEA practical situations. For these higher vocational colleges and universities, their input redundancy and output insufficiency are analyzed, in which the two input indicators of total public expenditure and the number of administrative personnel of decision-making unit 1 are insufficient. The input insufficiency rate is 13.43% and 73.01%, respectively. According to the input and output of each higher vocational college or university, the corresponding solution measures are proposed to improve the efficiency of educational management of higher vocational.

Study on Countermeasures for Protection of Dietary Intangible Cultural Heritage in Henan Province in the Context of Rural Revitalization

Abstract Under the rural revitalization strategy, protecting dietary intangible cultural heritage in Henan Province is particularly important. This study explores the protection countermeasures of intangible cultural heritage of cuisine (shorted as ICH)in Henan Province to promote the sustainable development of culture and tourism. The research methods include DEA model, TOPSIS method, exploratory spatial data analysis and coupling degree analysis. The results show that between 2016 and 2023, the coupling degree of ICH and rural tourism in Henan Province increased from 0.4241 to 0.6917.Especially in Nanyang City, the development of ICH cultural and tourism projects significantly promoted rural tourism, and its level of rural tourism development increased from 0.51 to 0.98.In addition, the grey correlation analysis reveals that the market demand, technological innovation, business interests and policy support are the main influencing factors. The coupling and coordination degree of NGT and rural tourism shows an upward trend. The conclusion points out that the protection of dietary intangible cultural heritage in Henan Province needs to pay attention to market demand, technological innovation and policy support to achieve the dual goals of rural revitalization and cultural protection.

Evaluation of Regional Carbon Neutrality Efficiency in China

In the context of “3060 Carbon Neutrality”, there will be both theoretical and practical significance to finding out the status quo, laws and key factors about efficiency of carbon neutrality in various regions of China. This paper considers carbon neutrality system as a black-box combining “carbon absorption” with “carbon fixation”. According to these two major functions, we aim to measure efficiency of carbon neutrality among 30 provinces in China by constructing the three-stage DEA model. The results point that there exists obvious regional differentiation of efficiency distribution patterns; Key factors that determine the level of carbon neutralization efficiency mainly include spatial effects, industrial modernization, technological and innovative levels, and natural resources, etc. In summary, this paper provides suggestions and counter measures to promote carbon neutralization efficiency within various regions from two perspectives of regional low-carbon economy and regional linkage development.