Vicious Competition Research Articles

Research on the Optimization of College Teachers’ Flow Management Strategy under the Support of Artificial Intelligence Technology

In recent years, with the establishment and improvement of the academic labor market system, the flow of college teachers has become more frequent. On the one hand, the rational and orderly flow of teachers, as a social construction, is of great significance for deconstructing the solidification of academic structure and promoting academic development and progress. But on the other hand, we should also see that the disorderly flow of teachers also has a strong destructive effect on destroying the inherent academic structure, leading to vicious competition in the academic labor market, and weakening the willpower of teachers to devote themselves to learning. Therefore, it is of great significance to analyze the dynamic factors of college teachers’ mobility, scientifically explain the internal mechanism of college teachers’ mobility, promote the improvement of college teachers’ mobility policies, and defend against disorderly mobility such as “poaching wars.” Based on the mobility dynamic model in colleges and universities, this paper puts forward some thoughts on promoting the mobility of college teachers. Colleges can improve the promotion and development channels of teachers and optimize their working conditions. The study also emphasizes on developing basic salary standard of teachers thereby establish a remuneration system for distribution on the basis of their performance. For good measure, they can also stabilize the current teachers while attracting more outstanding talents by exploiting the advantages of location, making more efforts to build high-level disciplines, and offering more favorable conditions for talent introduction.

Successful Application of Anammox Using the Hybrid Autotrophic-Heterotrophic Denitrification Process for Low-Strength Wastewater Treatment.

Directly integrating anammox into sewage treatment is attractive, but anammox bacteria (AnAOB) enrichment is complex due to vicious competition from heterotrophic bacteria (HB). A novel strategy of optimal organics management using a preanaerobic stage and subsequent limited-oxygen conditions (0.32 ± 0.15 mg-O2/L) is applied, and a hybrid autotrophic-heterotrophic denitrification process is developed to treat sewage-like wastewater with a COD/N ratio of 3.1 for 420 days. The stable process was achieved, and a high total nitrogen removal rate of 0.53 kg-N/(m3·d) was obtained compared to conventional nitrification/denitrification. The 16S rRNA high-throughput sequencing analysis suggested that the relative abundance of the nonendogenous HB (Denitratisoma and Thauera) was drastically reduced (P ≤ 0.001), whereas the endogenous denitrifying HB (Candidatus (Ca.) Competibacter) was significantly enriched in the anammox granules (9.98%, P ≤ 0.001). Moreover, Ca. Competibacter as an inner core and Nitrospira and Ca. Brocadia as an outside coating of the anammox granules indicated the cooperation of AnAOB with HB as revealed by laser-scanning confocal microscopy and qPCR. In situ tests further confirmed nitrite from two pathways (partial nitritation and endogenous partial denitritation) that favored AnAOB enrichment. Optimal organics management can mitigate the competition of HB with AnAOB by redirecting the metabolic pathways and microbial community, which is critical to directly integrating anammox into sewage treatment.

The impact of fiscal decentralization on environmental pollution and the transmission mechanism based on promotion incentive perspective.

At present, China's economy is transforming from rapid development to high-quality development, and environmental pollution stands out as an urgent need to be addressed. Fiscal decentralization is considered to confer economic incentives on local governments to obtain the right to gain and spend in economic growth. However, at the same time, political incentives are given to local officials under the promotion mechanism based on gross domestic product (GDP) assessment, and these two incentives become key to the environmental performance of the jurisdictions. Therefore, this paper incorporates fiscal decentralization, promotion incentives, and environmental pollution into a unified framework and theoretically analyzes the effects of fiscal decentralization, promotion incentives on environmental pollution, and the intrinsic mechanism of action. Using panel data of 30 Chinese provinces from 2002 to 2018, we examine that fiscal decentralization significantly promotes environmental pollution, and this performance is more obvious in economically underdeveloped regions. In terms of its mechanism of action, fiscal decentralization affects environmental pollution by increasing the demand for foreign direct investment, inhibiting technological progress, and enhancing environmental regulation, while foreign direct investment and technological progress significantly inhibit environmental pollution, but environmental regulation does not present a role of pollution control. Further study finds that under the consideration of "GDP-based promotion incentives," local officials will generate "competition for investment," relax environmental standards for FDI, and generate "competition for growth", which will inhibit technological progress and incomplete enforcement of environmental regulations, thus exacerbating local environmental pollution. On this basis, this paper proposes to further deepen the fiscal system reform, promote the optimization of local government competition system, and effectively restrain the vicious competition behavior of local officials under the fiscal decentralization system, so as to provide relevant insights for realizing China's economic transformation as well as high-quality economic development.

Planning water-food-ecology nexus system under uncertainty: Tradeoffs and synergies in Central Asia

Vicious competition for limited water resources hinders the synergetic and sustainable development of Central Asian countries, which further threatens food security and exacerbates ecological degradation. In this study, a copula-based bi-level decentralized programming (CBDP) method is developed and applied to planning water-food-ecology (WFE) nexus system. CBDP has advantages in balancing tradeoffs between different decision levels, analyzing synergies among multiple managers and reflecting joint risks of interrelated uncertain parameters. Then, a CBDP-WFE model is formulated for Central Asia, where the upper-level model aims to maximize system benefit for the region (i.e. regional-scale), and the lower-level model involves five objectives to maximize five countries’ benefits (i.e. national-scale) respectively. Totally 108 scenarios are designed to analyze the impacts of joint constraint-violation risk, agricultural irrigation efficiency, and ecological water demand. Results reveal that (i) improving agricultural irrigation efficiency can optimize the water allocation pattern as well as increase the system benefit; (ii) in order to restore the regional eco-environment, the proportion of ecological water allocation should increase from 7% (of the current level) to 14.9–23.8% (by 2050); (iii) water allocations to Uzbekistan and Tajikistan should be properly controlled especially when available water is scarce. The results are helpful for managers in not only making decisions of water allocation among multiple users and countries but also gaining insight into synergetic management of WFE nexus under various system conditions.

Vicious Competition Trap of Tournament Incentive and Its Correction

Tournament theory is widely used in the promotion field because of its advantages such as high incentive intensity. However, the theory inevitably has many defects, one of them is that the promotion game participants fall into the vicious competition trap. The theoretical model of this paper shows that under the tournament promotion mechanism, the design of promotion rules is very important to the performance of enterprises. To avoid vicious competition between employees for promotion, this paper believes that enterprise managers can consider adding some indicators related to the overall interests of the enterprise organization when formulating the promotion rules of employees.

EXPLORING THE STRATEGY CHOICE OF EDUCATION AND TRAINING MARKET PARTICIPANTS BASED ON THE PERSPECTIVE OF EVOLUTIONARY GAME

The people’s increasing attention to culture and education has caused vicious competition in the education and training industry, and false propaganda has disturbed the market order, and the education and training market is facing the choice of entry and exit. Based on the evolutionary game model, this paper explores the best strategic choice of the three parties involved in the education market by constructing an evolutionary game model of the strategic behavior choice of the regulator, education institutions and students, and using MATLAB simulation analysis to explore the direction of healthy, orderly and scientific development of the education market. The results show that the stronger the supervisory authority rewards (or punishes) the education and training institutions that adopt benign competition with credibility and credit evaluation, the more the education and training institutions tend to choose benign competition. The smaller the extra loss of training for students, the more inclined they are to choose to enroll. The higher the benefit of benign competition (or the cost of vicious competition) for teaching and training institutions, the more inclined they are to choose benign competition.

Combinatorial Spectrum E-Auction for 5G Heterogeneous Networks: A Zether-Based Approach

5G heterogeneous network (HetNet) is a novel network topology that integrates various kinds of wireless access technologies such as 4G Long-Term Evolution (LTE), Wi-Fi, and so on. Despite greatly improving spectrum efficiency, it poses enormous challenges to spectrum e-auction. Firstly, due to high mobility, bidders may be interested in different spectrums in terms of time or geolocation. Secondly, one’s bidding value should be protected against rival bidders or adversaries to avoid vicious competition as well as privacy leakage. Thirdly, the ubiquitous HetNet requires a trustworthy distributed auction framework rather than a centralized auctioneer-based pattern. Aiming at overcoming these obstacles above, we proposed a blockchain-based combinatorial spectrum e-auction framework. Different from other blockchain-based solutions of using SGX to realize trust processing in the auction phase, we adopt Zether, a privacy-preserving smart contract, as the main building block. Besides, the bidding value is preserved from the beginning to the end, even though the time-consuming Paillier homomorphic encryption and garbled circuits are absent. We provide the auction security by leveraging Σ -Bullets, a zero-knowledge proof mechanism. Theoretical analysis and extensive evaluation also indicate that our approach is better than the state-of-the-art works in terms of efficiency and effectiveness.

Does Airport Preferential Policy Aggravate the Competition of Aviation Hubs in Central and Western China? Based on the Investigation of 78 Airports

China’s regional economic competition is intensifying; in particular, the cluster development of air transport, high-end manufacturing, and modern service industries is closely related to the construction of regional airports. Local governments have listed aviation hubs as the hardcore advantage of high-quality growth in the new era, but it may also lead to excessive convergence and preferential system competition. Based on the “GDP competition” of local governments in China, this paper uses panel data of 78 airports in mainland China from 2001 to 2018 and tries to explore the causes of airport preferential policies. The Synthetic Control Method is used to study the influence of preferential policies on airport passenger and cargo flow, and then the Spatial Durbin Model is used to verify the spatial spillover effect of aviation hubs, which may be magnified by the preferential policies. This paper finds that the impact of preferential policies on airports in central and western China is mainly reflected in the increase of cargo throughput, and there is a spatial siphon effect on cargo throughput between airports. The implementation of the preferential policy enhances this spatial siphon effect, which in turn leads to more fierce competition. The research results show that the preferential policies, issued in central and western aviation economy, have shown a trend of evolving in the direction of vicious competition. Before the airport preferential system produces more negative effects, it should be corrected in time, and each aviation economic zone in the central and western regions should be scientifically coordinated and reasonably planned.

Comparison and empirical analysis of the urban economic development level in the Yangtze River urban agglomeration based on an analogical ecosystem perspective

By adopting an analogical ecosystem perspective and by pursuing coexistence and coprosperity of the overall spatial development of urban agglomerations can avoid disorder and vicious competition that occur among cities. However, this perspective has not been applied to the research on the Yangtze River urban agglomeration. Thus, this paper attempts to construct a more comprehensive and scientific index system for the competitiveness of Yangtze River urban agglomeration from the perspective of an ecosystem-based socio-economic system structure and analyzes the current economic development situation of the eight cities along the Yangtze River. Based on this objective, principal component analysis (PCA) method is used to comprehensively evaluate the economic development level of the eight cities. Simultaneously, the concept of the urban niche is used to derive the niche levels and dominant ecological functions of each city and to promote the optimization of the spatial structure of the Yangtze River urban agglomeration. Accordingly, this paper also explores the spatial optimization path of the Yangtze River urban agglomeration under the guidance of the analogical ecosystem concept, to provide theoretical reference for the optimization of spatial structure and strategic planning of Yangtze River urban agglomeration.

Optimal Electricity Allocation Model Under China's Planning-Market Double-Track Mechanism Considering Bidding Game of Generation Companies

In China, under the planning-market double-track mechanism implemented on the generation side of electricity, unreasonable market-oriented power generation proportion may lead to unnecessary vicious competition and market price changes, and it is against the will of power exchange (PX). Given this background, in this study, a bi-level model for planning-market electricity allocation that considers the bidding game of generation companies is proposed for a smooth transition of power system reform. In the upper level of the model, the proportion of planned electricity is optimized by PX to minimize the average social electricity purchase price. In the lower level of the model, considering the impact of market power on the bidding strategy of generation companies, the bidding strategy of generation companies set as price makers is proposed using the residual demand curve analysis method, while the price takers adopt the lowest bidding strategy. Simulations based on data from a provincial electricity market in China illustrate that the proposed model can effectively reflect the impact of market-oriented electricity proportion on market power and market-clearing price, thus providing a quantitative basis for PX to determine the proportion of market-oriented electricity in total electricity consumption.

Sustainability Evaluation of Renewable Energy Incubators Using Interval Type-II Fuzzy AHP-TOPSIS with MEA-MLSSVM

With the development of renewable energy, renewable energy incubators have emerged continuously. However, these incubators present a crude development model of low-level replication and large-scale expansion, which has triggered a series of urgent problems including unbalanced regional development, low incubation efficiency, low resource utilization, and vicious competition for resources. There are huge challenges for the sustainable development of incubators in the future. A scientific and accurate evaluation approach is of great significance for improving the sustainability of renewable energy incubators. Therefore, this paper proposes a novel method combining an interval type-II fuzzy analytic hierarchy process (AHP) with mind evolutionary algorithm-modified least-squares support vector machine (MEA-MLSSVM). The indicator system is established from two aspects: service capability and operational efficiency. TOPSIS integrated with an interval type-II fuzzy AHP is employed for index weighting and assessment. In the least-squares support vector machine (LSSVM), the traditional radial basis function is replaced with the wavelet transform function (WT), and the parameters are fine-tuned by the mind evolutionary algorithm (MEA). Accordingly, the establishment of a comprehensive sustainability evaluation model for renewable energy incubators is accomplished in this paper. The experimental study reveals that this novel technique has the advantages of scientificity and precision and provides a decision-making basis for renewable energy incubators to realize sustainable operation.

Analysis on Financial Pressure of Coal Enterprises in Information Age

Driven by technological innovation, the domestic economy is developing rapidly. However, the phenomena of excess capacity, weak market demand and vicious competition in coal industry put forward a severe test for coal enterprises to deal with the financial pressure caused by the dual factors of market and system in the information age. Under the influence of market and system factors, coal enterprises should be based on the background of the current era, realize their financial pressure correctly, and seek a sustainable development path.

High-Speed Rail, Market Segmentation and Economic Growth

Since the Reform and Opening Up, There have Been Beggar-Thy-Neighbor Market Segmentation Phenomena Such as Market Protection and Vicious Competition in Different Regions of China, and the Impact of Market Segmentation on Economic Growth in Different Regions Remains to Be Explored. The Opening of High-Speed Railway has a Certain Easing Effect on Market Segmentation. This Paper Uses the Relative Price Method to Calculate the Commodity Market Segmentation Index, Labor Market Segmentation Index and Capital Goods Market Segmentation Index in 29 Provinces from 2003 to 2017. The Results Show that the Degree of Labor Market Segmentation is the Highest in the Whole Country, and the Degree Of Market Segmentation In The Eastern Region Is Lower Than That In The Central and Western Regions. On this Basis, the Paper Makes an Empirical Analysis on the Impact of High-Speed Railway on Market Segmentation and the Impact of Market Segmentation on Economic Growth. The Segmentation of Commodity Market is Beneficial to Economic Development in the East, While the Segmentation of Labor Market Plays a Negative Role. Finally, Policy Suggestions are Put Forward According to the Results.

Research on the Export Competitiveness of Agricultural Products in Anhui Province of China from the Low-Carbon Perspective

Affected by global warming, the development of low-carbon economy in recent years has received widespread attention. In terms of trade, it is mainly manifested in carbon taxation and carbon labeling. The development of low-carbon economy will inevitably have an impact on the export of agricultural products. Taking Anhui Province, a large agricultural province in China, as an example, this paper analyzed the export competitiveness of agricultural products in Anhui by using the trade competitiveness index. The study found that agricultural export companies in Anhui had problems such as single export structure and low added value, vicious competition among export companies, and imperfect financial support systems. In order to enhance the competitiveness of agricultural exports in Anhui, the paper put forward countermeasures and suggestions in the end, such as optimizing the export structure, increasing investment in science and technology, establishing an alliance of agricultural export enterprises and increasing financial support.

Study on International Marketing and Investment Strategy-Taking ABC Company as an Example

There are a large number of pesticide export enterprises in China, but they are generally small in operation scale, low in industrial concentration, lacking of independent innovation and non-standard in industry development, and export marketing is mainly carried out by means of price war and vicious competition. Under the general trend of domestic pesticide industry integration and the fierce competition in the international pesticide market, these enterprises are facing great pressure of survival. This study selects representative ABC Company as the research object, and conducts the analysis of domestic and foreign marketing environment from four aspects of product, distribution, price and promotion respectively through quantitative analysis and qualitative analysis. Through the analysis of its marketing environment, put forward specific marketing strategies, On the basis of determining the strategic direction, the target market and entry mode of ABC Company are further analyzed. It also concludes that the company should flexibly choose the market entry mode, make full efforts to build the enterprise brand and influence, and gradually climb to the top of the value chain. It is expected to find a set of marketing strategies for the company to adapt to the current situation, and try to bring some reference value to enterprises in the industry with the same confusion.

A Decentralized Music Copyright Operation Management System Based On Blockchain Technology

With the rapid development of the Internet, online music has become a new trend. The low cost of access and fast spread speed greatly enriches people’s spiritual life, but it also poses great challenges to the protection of intellectual property rights. Nowadays, although the intellectual property rights of music works have been better valued and protected, there are still some problems that limit the development of the music industry and affect the users’ experience. For example, the copyrights of different music works may be exclusively represented by different companies, resulting in limited choices for users and vicious competition among music operating companies, which affects the users’ experience and is not conducive to the long-term development of the music industry. In order to solve the above problems, we present a decentralized music copyright operation management system based on Blockchain technology. By using the Blockchain’s shared ledger mechanism and smart contracts as the basic framework of the Ethereum platform, we realize decentralized music copyright management. The system not only protects copyright better, but also coordinates the interests of creators, copyright owners, operators and users, which is beneficial to the further development of the music industry, and creates more value and better experience for users.

Determinants of e-banking adoption from customers' perspective: an empirical study

Being a service industry, the banking sector generates and distributes services for the realisation of consumers' economic needs. In the present era of vicious competition, wherever an enormous alternative is accessible to the patrons, each banking organisation has an onus to magnetise the new patrons and retaining the existing ones, by providing them with innovative and classy services. The study validated the factors of internet adoption from the customers' perspective. The sample of the investigation was 391 bank customers. On the basis of previous literature and expert advice, a questionnaire was designed. Finally, seven factors were confirmed. The research has validated a scale for future research.

Analysis of the Impact of E-Commerce on Industrial Manufacturing Based on Big Data

With the rapid development of Internet technology, e-commerce has become a new marketing channel in today’s society, and has penetrated into various industry fields, ushered in a new round of marketing model changes. This article aims to analyze the impact of e-commerce on industrial manufacturing based on the background of big data, with a view to providing a little help for manufacturing companies to better play the role of e-commerce. This article conducted a questionnaire survey on some manufacturing enterprises operating in e-commerce in our province, and found that 81.08% of enterprises believe that e-commerce provides a convenient communication platform for enterprises and expands the sales market; 56.76% of enterprises believe that e-commerce has led to vicious competition in the manufacturing industry, and put forward strategies to promote e-commerce. In order to provide a little help for enterprises to further better play the role of e-commerce to enterprises.

Multivariate Collaborative Development and Comprehensive Classification Evaluation of Airport Cluster Based on Ant Colony Intelligent Optimization Algorithm

At present, the functional positioning of various airports in the regional airport clusters of our country has become seriously homogenized. The severe co-directional positioning has led to vicious competition among airports, especially those that are relatively close geographically. In this paper, the super efficiency DEA model, Logit model, and cluster analysis combination classification model for the airport cluster are established based on any colony intelligent optimization algorithm. In addition, the airport cluster in the Pearl River Delta is taken as an example to carry out programming analysis and solve the models. Gradient differentiated positioning is performed on various airports, and the results suggest that: The models are evaluated from different perspectives, and similar conclusions are obtained, which has further verified the effectiveness of the comprehensive classification evaluation. The evaluation result is as the following: Hong Kong > Guangzhou > Shenzhen > Macao > Zhuhai. Finally, Hong Kong and Guangzhou airports are positioned as international hubs, Shenzhen is a regional hub, Hong Kong and Macao are trunk airports. On the basis of the evaluation, the corresponding collaborative development strategy is put forward to achieve the collaborative development of various airports and avoid unnecessary competition in the airline network. At the same time, it can reduce the enormous pressure on air traffic management and further boost the sound development of air transportation.

Queuing Without Patience: A Novel Transaction Selection Mechanism in Blockchain for IoT Enhancement

There is evidence that blockchain plays a crucial role in the Internet of Things (IoT)-based implementation due to its transparency, traceability, and immutability, in which the participants are incentivized to behave authentically and precisely for rewards. Despite the domination of subsidy in reward, the decrease of the mining rate and the imperativeness of fees make the fee market become a pivotal role to motivate miners in the blockchain. However, the current mechanism for selecting transactions into a block poses a risk to the stability of the system, which stems from the vicious competition of users and the insufficient incentives of miners. In this article, we propose a novel transaction selection mechanism by leveraging the Lyapunov optimization and large deviation theory. This article is: 1) fair because the proposed mechanism is not single-factor dominated, both personal utility of the miner and overall utility of the system are taken into account; 2) sustainable since miners are incentivized greatly to guarantee the mining behavior; and 3) robust . The analysis based on the large deviation theory enhances the robustness of the blockchain. To the best of our knowledge, we are the first to consider both miner’s benefit as well as system benefit to establish a better fee market in the blockchain for IoT enhancement. Our theoretical analyses and simulation results demonstrate the effectiveness of the proposed mechanism.