Evaluation Of Competitiveness Research Articles

Talent Competitiveness Evaluation of the Chongqing Intelligent Industry Based on Using the Entropy TOPSIS Method

Talent is the foundation of industrial development, based on the movement process and the role of the talent competitiveness cycle. This study uses the Entropy TOPSIS method to evaluate the talent competitiveness of Chongqing in comparison to Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, Guangdong, Sichuan, and Shaanxi from five dimensions of human resources, talent contribution, talent investment, development support, and development environment. The research shows that the talent competitiveness of the intelligent industry in Chongqing ranks eighth as compared to other eight provinces and cities. The result shows that there is a big gap in human resources, talent contribution and talent investment compared with the developed areas, while development support and environment level were found to be relatively backward. It is suggested to strengthen the policy implementation from the aspects of high-end talent introduction, investment in higher education, industrial ecological system and talent development environment.

Autonomous ships for container shipping in the Arctic routes

This study investigates the competitiveness of various autonomous ship categories for container shipping in the Arctic route. We propose a multi-criteria decision-making (MCDM) framework using four ship categories as alternatives and eight criteria for competitiveness evaluation. We analyse collected data using the Best–Worst Method (BWM), one of the recently developed MCDM methods. The findings reveal that operating expenses, navigation aspects, and environmental protection are the three most important criteria for deploying autonomous ships in the Arctic route. Among the three investigated autonomous ships alternatives, the semi-autonomous ship operated from a shore control centre (SCC) is prioritized for Arctic shipping in the foreseeable future, when benchmarked against the conventional ship. The SCC-controlled semi-autonomous ship alternative is competitive in the majority of the considered criteria including operating expenses, capital expenses, navigation, ship-shore and ship–ship communication, search and rescue, and environmental protection.

Developing an Evaluation Model for Monitoring Country-Based Tourism Competitiveness

Using pillars and sub-index from the Travel and Tourism Competitiveness Index (T & TCI) to measure a destination’s competitiveness is popular. Still, its methodology underlying the calculation has been criticized. So the T&TCI Index has not been regarded as a reliable measure of a destination’s competitiveness. In this regard, this paper sought to set out a country-based tourism competitiveness evaluation model with various statistical methods to indicate how important tourism policy development has to design. We used data from an expert survey to examine the attributes and sub-attributes and shape the decision-making. We addressed a theoretical six-step procedure to ensure the evaluation model’s rigor in the model development context. The first was to do data collection. The second was to examine construct underrepresentation. The third was to examine common method bias. The fourth was to examine construct-irrelevant variances. The fifth was to evaluate intergroup consistency. And the sixth was to develop attribute weight. Our study showed that a country-based tourism competitiveness evaluation model encompassed 8 attributes and 28 sub-attributes. We identified cultural uniqueness, ecology and the environment as the two most important attributes. In the end, we addressed the practical contributions of this study and methods to policy-makers and researchers.

Regional Climate Change Competitiveness—Modelling Approach

The article deals with the competitiveness of regions in the face of climate change. The aim was to present the concept of measuring the Regional Climate Change Competitiveness Index. We used a comparative and logical analysis of the concept of regional competitiveness and heuristic conceptual methods to construct the index and measurement scale. The structure of the index includes six broad sub-indexes: Basic, Natural, Efficiency, Innovation, Sectoral, Social, and 89 indicators. A practical application of the model was presented for the Mazowieckie province in Poland. This allowed the region’s performance in the context of climate change to be presented, and regional weaknesses in the process of adaptation to climate change to be identified. The conclusions of the research confirm the possibility of applying the Regional Climate Change Competitiveness Index in the economic analysis and strategic planning. The presented model constitutes one of the earliest tools for the evaluation of climate change competitiveness at a regional level.

An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation

This paper proposes a new boundary uncertainty-based estimation method that has significantly higher accuracy, scalability, and applicability than our previously proposed boundary uncertainty estimation method. In our previous work, we introduced a new classifier evaluation metric that we termed “boundary uncertainty.” The name “boundary uncertainty” comes from evaluating the classifier based solely on measuring the equality between class posterior probabilities along the classifier boundary; satisfaction of such equality can be described as “uncertainty” along the classifier boundary. We also introduced a method to estimate this new evaluation metric. By focusing solely on the classifier boundary to evaluate its uncertainty, boundary uncertainty defines an easier estimation target that can be accurately estimated based directly on a finite training set without using a validation set. Regardless of the dataset, boundary uncertainty is defined between 0 and 1, where 1 indicates whether probability estimation for the Bayes error is achieved. We call our previous boundary uncertainty estimation method “Proposal 1” in order to contrast it with the new method introduced in this paper, which we call “Proposal 2.” Using Proposal 1, we performed successful classifier evaluation on real-world data and supported it with theoretical analysis. However, Proposal 1 suffered from accuracy, scalability, and applicability limitations owing to the difficulty of finding the location of a classifier boundary in a multidimensional sample space. The novelty of Proposal 2 is that it locally reformalizes boundary uncertainty in a single dimension that focuses on the classifier boundary. This convenient reduction with a focus toward the classifier boundary provides the new method’s significant improvements. In classifier evaluation experiments on Support Vector Machines (SVM) and MultiLayer Perceptron (MLP), we demonstrate that Proposal 2 offers a competitive classifier evaluation accuracy compared to a benchmark Cross Validation (CV) method as well as much higher scalability than both CV and Proposal 1.

Evaluation of Competitiveness of Brands of Local Sewing and Knitting Enterprises

The purpose of the study is to develop scientific proposals and practical recommendations for the use of branding strategies in the management of the competitiveness of garment enterprises. The scientific significance of the research results was determined by the fact that it can be used to identify specific aspects of brand competitiveness management and enterprise competitiveness, brand management in enterprises, development of branding strategies and the formation of special strategic programs and program goals to transform the national garment brand into global brands. The practical significance of the research results is that the developed scientific proposals and practical recommendations will help entrepreneurs operating in the country to develop their own brand in order to be competitive, to evaluate it in market conditions. The results of the study can be explained by the fact that they can be used in the preparation of textbooks and manuals on the disciplines "Brand Management", "Management", "Fundamentals of Management and Marketing", "Innovation Management".

Competitiveness evaluation and cluster analysis of logistics industry in Henan Province based on SPSS 22.0

The logistics industry is an important support for the construction and development of my country’s national economy, and there is a close relationship between regional logistics and regional economy. In order to comprehensively evaluate the level of logistics competitiveness in Henan Province, this paper has established 11 evaluation indexes of Henan logistics industry competitiveness from three perspectives: regional economic conditions, logistics demand and logistics industry support factors. With the help of SPSS 22.0 software for factor analysis, 11 indexes are divided into two public factors: logistics economic development environment, logistics demand and scale, and the competitiveness of the logistics industry of 18 province-administered cities in Henan Province is ranked. According to the scores of 2 factors, the 18 provincial cities were divided into five categories using the systematic cluster analysis method, and then the development ideas for the development of the logistics industry of each type of provincial cities were put forward to provide a reference for the overall development of the logistics industry in Henan Province. At the same time, it also provides reference for the development of logistics industry in other regions.

Competitive Usability Evaluation of Electronic Health Records: Preliminary Results of a Case Study.

It is necessary for hospitals to be able to compare the usability of electronic health records (EHR) before acquisition. Adding usability as a critical element of the procurement process is therefore crucial. During the competitive usability evaluation of several EHRs, the usability walkthrough method has the potential of making end-users more active in the procurement process than demonstrations. This case study presents first results of a comparison of three EHRs performed by nine representative end-users. All users uncovered usability problems while performing their scenarios. The results show that none of the EHRs evaluated is without major usability problems. These problems have been well-known to human factors researchers for a long time.

An Empirical Study on the Coupling Coordination Relationship between Cultural Tourism Industry Competitiveness and Tourism Flow

The case study for this analysis is Henan province in China, where sustainability is a central issue for tourism development due to the area’s enormous and unexploited potential for cultural tourism. We construct a cultural tourism industry competitiveness evaluation index from cultural resource competitiveness, economic development support competitiveness, ecological environment competitiveness and basic guarantee competitiveness, and also construct a tourism flow evaluation index from tourist flow, consumption flow and effect flow. For this study, we then adopt an Entropy-TOPSIS and Coupling Coordination model to analyze the characteristics of coupling and coordinated development of them from 2009 to 2019. The empirical results show that (1) the comprehensive development index of cultural tourism industry competitiveness and tourism flow exhibits a fluctuating rise trend and maintains good development momentum; and (2) the coupling coordination degree between the cultural tourism industry competitiveness and tourism flow in Henan Province as a whole is gradually improving and the coupling coordination level developed from extreme disorder to grudging coordination, but it is unpromising in some parts of cities. Some recommendations are provided to promote the coupling and coordinated development of cultural tourism industry competitiveness and tourism flow for cities.

Evaluation of competitiveness of top-grades of ultrapasterized milk in the conditions of Covid-19

The UHT milk market in the Russian Federation is actively developing and belongs to a promis-ing direction of food industry. The UHT milk is a milk product that has undergone a process of heat treatment in which the milk is heated to a temperature of 137 0 C, and kept at that tempera-ture for 4 seconds before being cooled to room temperature. UHT milk retains almost all the ben-eficial properties of the original product, while it belongs to long-term storage goods and does not require the use of refrigeration equipment. The importance of the product has sharply in-creased during the quarantine imposed by the authorities during the COVID-19 pandemic. At the same time, there is a significant number of UHT milk brands on the consumer market, which leads to quite serious competition and necessitates studying the level of their competitiveness, especially for solving applied issues in the local geographic segment of the market. According to the author, today there is definitely a lack of comprehensive scientific methodological approaches to assessing the competitiveness and quality of UHT milk sold on the local market. Therefore, the purpose of the research was to assess the competitiveness and quality of UHT milk of various brands, presented on the market of Troitsk, Chelyabinsk region. The study assumes a complex methodology, which includes the following stages: 1) identification of the competitiveness of UHT milk by the index method of the ratio of prices and quality of the milk samples under study; 2) conducting a comprehensive assessment of the competitiveness of UHT milk brands presented in the local market, based on the primary marketing research of consumer preferences in this segment of the dairy market; 3) identification of the level of competitiveness of milk trade marks on the basis of the economic method, which assumes their ranking by trade volume. On the basis of the obtained data, it is concluded that the most competitive are the samples of trade marks «Dairy River» and «Dairy Farmer».

"Klar bleiben" (keep aclear head)-acompetition for school classes to reduce alcohol consumption

In Germany, alcohol is the most popular drug among adolescents. So far, school-based alcohol prevention programs have focused on elementary school children and pupils in early adolescence. The school program "Klar bleiben" ("Keep aClear Head") was especially designed for young people in late adolescence (10thgraders) with the aim of establishing non-binge drinking as asocial norm.Students in the participating classes commit themselves to abstain from binge drinking for six weeks (contract management). The class gives feedback after each week. After at least five positive feedbacks, the class is rated as successful and enters aprize draw. Elaborated teaching impulses and information resources for teachers and parents are further components of the prevention program.The evaluation of the class competition by 92teachers can be regarded as consistently positive. The results of acluster-randomized study showed arelative risk reduction of 10.4% in binge drinking in the last month for those adolescents who had already consumed alcohol before and belong to the intervention group. After the end of the intervention, this group of adolescents consumed an average of 0.19 fewer alcoholic beverages per drinking occasion compared to adolescents from the control group. The findings presented here are encouraging, keeping in mind that the intervention is relatively inexpensive.

The European tomato market. An approach by export competitiveness maps.

Most empirical studies examining the export competitiveness of a country in a target market are undertaken by focusing on supply, only analysing the group of competing countries. In addition, if the target market to be analysed is extensive, like the European Union, it is generally analysed as a whole. This study presents an evaluation of the tomato export competitiveness, from a differentiated demand perspective, analysing its main customers markets in the context of European Union. The methodological framework is implemented through Constant Market Share to analyze variations in exports, allowing the portion attributable to competitiveness and segregation into general or specific competitiveness to be quantified. The Constant Market Share was adapted to focus on the differentiated demand so as to observe the influence of the worldwide crisis (2007/08) on the European tomato market. This study allows the analysis of profile changes into the competitor exporting economies. As a contribution to the methodology, this study presents a new graphical way of representing the results of Constant Market Share methodology by means of export competitiveness maps in the European tomato market for the group for each main competitor in each European client market. According to our results, Spain and Belgium are candidate countries to be competitive in the main European markets.

THE COMPETITIVENESS EVALUATION OF THE TEXTILE INDUSTRY IN CHINA

Based on the selection of 29 typical provinces, autonomous regions and municipalities in China, the paper constructs the competitiveness evaluation index system of textile industry, using the method of the principal component analysis (pca). The results show that there are obvious regional differences between the 29 typical provinces, autonomous regions and municipalities in China for the textile industry’s competitiveness. Furthermore, the overall competitiveness of the textile industry in China shows that the competitiveness of east China is stronger, while the competitiveness of west China is weaker.

A benchmark of dynamic versus static methods for facial action unit detection

Action Units activation is a set of local individual facial muscle parts that occur in time constituting a natural facial expression event. AUs occurrence activation detection can be inferred as temporally consecutive evolving movements of these parts. Detecting AUs automatically can provide explicit benefits since it considers both static and dynamic facial features. Our work is divided into three contributions: first, we extracted the features from Local Binary Patterns, Local Phase Quantisation, and dynamic texture descriptor LPQTOP with two distinct leveraged network models from different CNN architectures for local deep visual learning for AU image analysis. Second, cascading the LPQTOP feature vector with Long Short-Term Memory is used for coding longer term temporal information. Next, we discovered the importance of stacking LSTM on top of CNN for learning temporal information in combining the spatially and temporally schemes simultaneously. Also, we hypothesised that using an unsupervised Slow Feature Analysis method is able to leach invariant information from dynamic textures. Third, we compared continuous scoring predictions between LPQTOP and SVM, LPQTOP with LSTM, and AlexNet. A competitive substantial performance evaluation was carried out on the Enhanced CK dataset. Overall, the results indicate that CNN is very promising and surpassed all other methods

Sustainable competitiveness evaluation of container liners based on granular computing and social network group decision making

In the shipping industry, the sustainability of the shipping companies has received more attention besides the economic benefits. A suitable evaluation model can provide a credible sustainable improvement test and guide the operation and management of shipping companies. This study is concerned with a granular evaluation model for the sustainable competitiveness evaluation of container liners, where the interval linguistic version of the analytic hierarchy process is designed for comparing alternatives comprehensively. To obtain ideal consistent preference relations, we propose a modification method by constructing information granules and using particle swarm optimization. Moreover, based on the combination of individual preference relations and experts’ weights obtained from the social network, the aggregated overall opinion of alternatives is achieved. Furthermore, a case study evaluating the sustainable competitiveness of container liners is conducted to support the proposed evaluation framework’s feasibility and practicality.

Research on the Design of a Hexagonal Shaft Straightening Machine Based on Quality Function Development and Evidence Theory

In response to the problem that weights in product planning and design are difficult to accurately reflect the real needs of users, a design method for hexagonal shaft straightening machines based on quality function configuration and evidence theory is proposed. First, based on the method of quality function deployment and evidence theory, the demand indicator and its importance are determined by market research and the Kano model. Second, to solve the conflict problem in the process of expert opinion aggregation, combined with evidence theory, taking expert knowledge as evidence, the possible value space of causal strength among nodes constitutes the recognition framework, which is used to synthesize the knowledge of multiple experts. The indicator correlation degree is reflected by using a correlation weight matrix, and effective solutions to the relevant theoretical problems and algorithms, such as those for competitive indicator evaluation, weight calculation and planning target value cases, are proposed. Finally, according to the analysis results for the various structural elements of the house of quality, a hexagonal shaft straightening machine function for master planning house of quality was constructed, and propose a design and build the main experimental platform. The relevant test results show that the technical specifications of the hexagonal shaft straightening machine basically meet the requirements of the overall planning target values, verifying the effectiveness and feasibility of the proposed method.

Banking Sector Consolidation and Stability in Kenya

This paper sought to examine the evaluation of competition and stability conditions in the Kenya banking sector amidst adoption various aspects of consolidation. This was achieved by exploring evolution of competition and stability conditions using bank-level and peer-level annual data from 2001 to 2017 for 37 banks. The paper adopted three-step estimation approach; first, estimated two competition measures Lerner Index and Panzar-Rosse H statistics to assess evolution of competition conditions. Secondly, constructed two stability measures Altman Z - Score and Bankometer S - Score to assess evolution of stability conditions. Thirdly, using panel GMM estimators introduced the estimated competition measures as explanatory variables and re-examined stability conditions to evaluate the role of competition in promoting banking sector stability. The study findings indicate competition conditions have increased and can be characterized as monopolistic competition. The banking sector stability conditions are high and sound, though downward trending. Increase in level of competition promotes stability conditions. The paper concludes that, adoption of various aspect of banking sector consolidation has led to improved competition and stability conditions in Kenya. Banking sectors players should continue implementing and adopting various policies that promote competition and stability such as market driven consolidations. JEL classification numbers: G2, G01, G33. Keywords: Bank Stability, Consolidation, Competition, Market Power, Lerner Index, Altman Z-Score, Bankometer S-Score, H-statistics.

Evaluation of Low-Carbon Competitiveness Based on a System Evaluation Method: A Case Study of Three Chinese Steel Companies

Low-carbon competitiveness is an effective way for enterprises to remain relevant in the global green economy agenda. The low-carbon footprints of firms are not only reflected in their carbon-tangible assets but also in carbon-intangible assets. Thus, carbon-intangible assets also play a crucial role in firms’ emission mitigation and environmental conservation capacity. Several forms of carbon-intangible assets may constitute an integrated system that shapes the low-carbon performance of enterprises. Therefore, firms’ low-carbon competitiveness can be evaluated by studying the distribution of individual carbon-intangible resources and the composite shape of such assets. Based on this idea, this paper explored the dimensions through which carbon-intangible assets contribute to low-carbon competitiveness. By determining the location and distribution of each carbon-intangible asset in its value space, we proposed a multidimensional evaluation technique with three dimensions including realistic, sustainable, and inimitable value. Herein, the idea of value space of carbon-intangible assets has been contributed to the extant literature. Finally, to apply our evaluation index system, we selected three Chinese steel companies to serve as the research sample and evaluated their low-carbon performances. The main contribution of this study is the development and application of a novel multidimensional low-carbon evaluation method. This technique will not only help governments as well as the academics to effectively determine the low-carbon level of enterprises but also helps managers to fully grasp the trends of low-carbon competitiveness and thereby take some targeted measures to improve their firms’ performance.

Construction and empirical study of green development competitiveness evaluation index system under eco city planning

<p>Based on green development theory, green industrial system and green competitiveness, this paper puts forward the “green development theory, green industrial system and green competitiveness evaluation”. This paper makes a horizontal comparative analysis of the actual development data of Tianjin, Beijing, Shanghai and Chongqing, and verifies the scientific, standardization, systematisms and rationality of the “green model” evaluation index system. Using the measurement method combining fuzzy analytic hierarchy process and entropy method to determine the index weight of the evaluation system, this paper makes an empirical study on the green development competitiveness of Tianjin from 2011 to 2016, and analyzes the development status and existing problems of Tianjin’s green development competitiveness. Finally, aiming at the problems and weaknesses such as the lack of green social management function and the worrying overall quality of green environment in Tianjin, the paper puts forward countermeasures and suggestions to speed up the planning of green development demonstration area, make efforts to make up for the shortcomings of green environment, optimize the development strategy of industry city integration, build a smart ecological green city, publicize the concept of green development city and encourage the public to participate in green behavior.</p>

Evaluation and spatial agglomeration analysis of the green competitiveness of China's manufacturing industry at the provincial level.

The pressures to maintain a low-carbon economy makes green competitiveness (GC) a significant issue in China. It has been found that the development of Internet and E-commerce contributes significantly to GC of regional economy, yet there are still lack of quantitative investigation on their effects, which can be used to further guide the economic development. Therefore, this study constructs a new evaluation index for the green competitiveness of the regional manufacturing industry in China by introducing Internet application indicators and E-commerce development indexes into its evaluation system. The results show Jiangxi and Gansu moved upward significantly in the GC ranking over the period. The development of the Internet and E-commerce has the most significant impact on GC of regional manufacturing. The lack of green manufacturing capabilities and green innovation drivers led to a decline in the GC ranking of Liaoning, Tianjin, Guangxi and Heilongjiang. Finally, this study uses Moran’s I index to investigate the spatial agglomeration effect of the green development of the manufacturing industry at the province level. The results show an increase in the GC of China’s regional manufacturing industry, and the GC of manufacturing industry shows a significant agglomeration effect. Based on the above conclusions, the proposal to promote the balanced development of the GC of the manufacturing industry is proposed.