Flexible Load Participation in Peaking Shaving and Valley Filling Based on Dynamic Price Incentives

Considering the widening of the peak-valley difference in the power grid and the difficulty of the existing fixed time-of-use electricity price mechanism in meeting the energy demand of heterogeneous users at various moments or motivating users,the design of a reasonable dynamic pricing mechanism to actively engage users in demand response becomes imperative for power grid companies.For this purpose,a power grid-flexible load bilevel model is constructed based on dynamic pricing,where the leader is the dispatching center and the lower-level flexible load acts as the follower.Initially,an upper-level day-ahead dispatching model for the power grid is established,considering the lowest power grid dispatching cost as the objective function and incorporating the power grid-side constraints.Then,the lower level comprehensively considers the load characteristics of industrial load,energy storage,and data centers,and then establishes a lower-level flexible load operation model with the lowest user power-consuming cost as the objective function.Finally,the proposed method is validated using the IEEE-118 system,and the findings indicate that the dynamic pricing mechanism for peaking shaving and valley filling can effectively guide users to respond actively,thereby reducing the peak-valley difference and decreasing users’purchasing costs.

Do Research Incentives Promote Researchers’Mental Health?

Background:Researchers have a higher risk of anxiety and depression than the general population,so it is important to promote researchers’mental health.Method:Based on the data from 3210 global researchers surveyed by the journal Nature in 2021,confirmatory factor analysis,OLS regression and other regressions were used to explore the research incentive dimensions and their effects on researchers’mental health.Results:(1)Material incentive factors,work-family life balance factors,good organizational environment and spiritual motivation had significant positive effects on researchers’mental health.(2)The spiritual motivation could better promote researchers’mental health than the other factors.(3)Heterogeneity analysis showed that material incentive factors and spiritual motivation created more significant stimulating effects on the mental health of humanities and social sciences researchers.Work-family life balance factors were more effective in promoting the mental health of the mid-career group and the overtime group.Conclusion:Application of the four research incentives resulted in lower likelihood of anxiety or depression among researchers,and special attention should be paid to the role of the spiritual motivation.In order to promote researchers’mental health,different incentives should be applied to different researcher groups to better improve researchers’mental health.

Improving Federated Learning through Abnormal Client Detection and Incentive

Data sharing and privacy protection are made possible by federated learning,which allows for continuous model parameter sharing between several clients and a central server.Multiple reliable and high-quality clients must participate in practical applications for the federated learning global model to be accurate,but because the clients are independent,the central server cannot fully control their behavior.The central server has no way of knowing the correctness of the model parameters provided by each client in this round,so clients may purposefully or unwittingly submit anomalous data,leading to abnormal behavior,such as becoming malicious attackers or defective clients.To reduce their negative consequences,it is crucial to quickly detect these abnormalities and incentivize them.In this paper,we propose a Federated Learning framework for Detecting and Incentivizing Abnormal Clients(FL-DIAC)to accomplish efficient and security federated learning.We build a detector that introduces an auto-encoder for anomaly detection and use it to perform anomaly identification and prevent the involvement of abnormal clients,in particular for the anomaly client detection problem.Among them,before the model parameters are input to the detector,we propose a Fourier transform-based anomaly data detectionmethod for dimensionality reduction in order to reduce the computational complexity.Additionally,we create a credit scorebased incentive structure to encourage clients to participate in training in order tomake clients actively participate.Three training models(CNN,MLP,and ResNet-18)and three datasets(MNIST,Fashion MNIST,and CIFAR-10)have been used in experiments.According to theoretical analysis and experimental findings,the FL-DIAC is superior to other federated learning schemes of the same type in terms of effectiveness.

An Incentive Mechanism for Federated Learning:A Continuous Zero-Determinant Strategy Approach

As a representative emerging machine learning technique, federated learning(FL) has gained considerable popularity for its special feature of “making data available but not visible”. However, potential problems remain, including privacy breaches, imbalances in payment, and inequitable distribution.These shortcomings let devices reluctantly contribute relevant data to, or even refuse to participate in FL. Therefore, in the application of FL, an important but also challenging issue is to motivate as many participants as possible to provide high-quality data to FL. In this paper, we propose an incentive mechanism for FL based on the continuous zero-determinant(CZD) strategies from the perspective of game theory. We first model the interaction between the server and the devices during the FL process as a continuous iterative game. We then apply the CZD strategies for two players and then multiple players to optimize the social welfare of FL, for which we prove that the server can keep social welfare at a high and stable level. Subsequently, we design an incentive mechanism based on the CZD strategies to attract devices to contribute all of their high-accuracy data to FL.Finally, we perform simulations to demonstrate that our proposed CZD-based incentive mechanism can indeed generate high and stable social welfare in FL.

Patient attitudes about financial incentives for diabetes self-management:A survey

AIM:To study the acceptability of incentives for behavior changes in individuals with diabetes,comparing financial incentives to self-rewards and non-financial incentives.METHODS:A national online survey of United States adults with diabetes was conducted in March 2013(n = 153).This survey was designed for this study,with iterative testing and modifications in a pilot population.We measured the demographics of individuals,their interest in incentives,as well as the perceived challenge of diabetes self-management tasks,and expectations of incentives to improve diabetes self-management(financial,non-financial and self-rewards).Using an ordered logistic regression model,we assessed the association between a 32-point score of the perceived challenge of the self-management tasks and the three types of rewards.RESULTS:Ninety-six percent of individuals were interested in financial incentives,60% in non-financial incentives and 72% in self-rewards.Patients were less likely to use financial incentives when they perceived the behavior to be more challenging(odds ratio of using financial incentives of 0.82(95%CI:0.72-0.93) for each point of the behavior score).While the effectiveness of incentives may vary according to the perceived level of challenge of each behavior,participants did not expect to need large amounts to motivate them to modify their behavior.The expected average amounts needed to motivate a 5 lb weight loss in our population and to maintain this weight change for a year was $258(interquartile range of $10-100) and $713(interquartile range of $25-250) for a 15 lb weight loss.The difference in mean amount estimates for 5 lb and 15 lb weight loss was significant(P < 0.001).CONCLUSION:Individuals with diabetes are willing to consider financial incentives to improve diabetes selfmanagement.Future studies are needed to explore incentive programs and their effectiveness for diabetes.

Lessons from the Real World: Financial Incentives to Improve Glycemic Control in Patients with Type 2 Diabetes

Objectives: While the value of glycemic control to minimize adverse health outcomes among patients with diabetes is clear, achieving hemoglobin A1c (A1c) goals remain a challenge. We evaluated the use of financial incentives to increase enrollment and improve glycemic control among patients invited to participate in a monthly diabetes group appointment (DGA) as part of their enrollment in DaVita HealthCare Partners, a large southern California managed care organization. Methods: Adult diabetes patients (≥18 years) with a currently uncontrolled hemoglobin A1c level (>8.0% if 9.0% if ≥ 65 years) were randomized to 1) no DGA, 2) DGA with no financial incentives (non-incentive DGA) or 3) DGA with financial incentives (incentive DGA). Results: Nine sites among four regions of the greater Los Angeles area participated. Each site offered one non-incentive DGA and one incentive DGA. Over 1500 patients were identified for recruitment and at the peak of enrollment, 299 patients were enrolled in 18 DGAs. On average, hemoglobin A1c values dropped more for patients participating in the incentive DGA (9.9% to 8.7%, -1.2%) versus non-incentive DGA (9.7% to 9.0%, -0.7%) versus no DGA group (9.1% to 8.7%, -0.4%). Several unexpected implementation challenges arose which complicated evaluation but provide important learning lessons. Conclusions: Management of chronic diseases like diabetes is challenging for patients and the primary care system alike. Continuing to implement and evaluate programs under “real-world” conditions can provide further insight into how best to support patients with diabetes and their primary care teams in order to achieve glycemic control and avoid preventable complications.

Firm Risk Profile, Agency Incentives and Corporate Performance： Corporate Governance Perspective of Uganda

This paper focuses on the relationship between firm risk profile, agency incentives and corporate performance using correlation study and cross-sectional approach. We conceptualise firm risk profile using the balanced score card and differ from previous studies, on the above variables, by capturing the perceptual sets of strategic leadership of Ugandan firms who are members of corporate governance of Uganda. We post a significant negative relationship between firm risk profile and corporate performance, a significant negative relationship between firm risk profile and agency incentives and a positive relationship between agency incentives and corporate performance By employing Joseph and Scott （2006）＇s utilization of the balanced score card to identify the four forms of firm risk （namely, financial, customer, internal and learning and growth risks）, our results support the application of agency theory as a relevant theoretical framework for dealing with managers who are risk averse.

The Potential Impact of Incentives on Managed Lane Travel

The use of managed lanes to control and maximize freeway throughput is increasing. One way of encouraging more managed lane use is through the implementation of incentives. In the Dallas-Fort Worth area, a managed lane is being added to the I-30 (Tom Landry freeway) and incentives to maximize the use of this lane were planned. Since the managed lanes were not yet open and the incentives were hypothetical, a stated preference survey was used to gauge the potential impact of the incentives on traveler behavior. The stated preference questions were designed using Db-efficient and random adaptive designs. The incentives were chosen by looking at other programs around the country and through discussion with transportation experts. Once ready, the survey was administered online to travelers in the area and a total of 898 usable responses were gathered. From the responses, a mixed-logit model was developed to describe and predict traveler behavior. From the model, elasticities were calculated to predict the impact of the incentives on mode choice. The model found that incentives with discounts and free trips (a transit fare discount, express bus service to downtown, a free trip for every X number of paid trips, and a discount offered to select businesses) were more effective at encouraging managed lane use. The other incentives (gift card worth $5 for every X number of trips and $5 in credit for every X number of trips taken by transit) had less of an impact.

Measuring the Effectiveness of Safety Incentives in Construction Sites in Korea

The purpose of this study is to investigate the effect of motivation factors that actively induce construction workers participate in safety prevention activities and to investigate the effect of incentive program as motivation factor by conducting questionnaire survey. The survey was conducted for construction workers from September, 2017 to October, 2018, and the number of respondents was 256. The results of this study are that the factor of the greatest role in encouraging workers to voluntarily participate in accident prevention activities is management factors and that the introduction of new management methods such as safety incentives to reduce safety accidents is necessary. These results indicate that the accident prevention facilities and safety education and training have their limitations. Therefore, it is necessary to thoroughly reconsider what has already been done, and to find more innovative methods to reduce construction accidents.

Payments for Ecosystem Services Incentives and Adoption of Land Use Interventions in Uluguru Mountains, Tanzania

The role played by Payments for ecosystem services (PES) in promoting land use interventions is increasingly being recognized as an important instrument for changing land use management worldwide. Despite the increase, adoption of land use interventions promoted by PES and factors influencing it are not well understood. This study was carried out to assess the adoption of land use interventions promoted by PES scheme four years after its implementation in the Uluguru Mountains, Tanzania. The specific objectives of this study were to assess the adoption and factors that influenced it. The study employed questionnaire survey method to collect data from 219 households selected randomly. Focus group discussions and key informant interviews were also conducted to complement information obtained through questionnaire surveys. Descriptive and inferential statistical analyses were employed. Binary logistic regression was used to analyse quantitative data obtained, while content analysis was applied to qualitative data. Results revealed that during the project implementation, 40% of the households did not adopt any of the promoted interventions. Unexpectedly, four years after the project ended, every household sampled had adopted the interventions. Households headed by younger heads and those with land ownership, households which received PES incentives and lived for a long time in the same area and those with more labour force and access to extension services were found to have adopted more interventions (p ≤ 0.05). Thus, the study concludes that socioeconomic characteristics, agricultural extension services and incentives initially provided to farmers are key factors influencing the adoption of land use interventions. Therefore, it is recommended to the government that it should support farmers to get land tenure and to provide them with more incentives to improve their farms through adopting technologies.

Incentive-compatible and budget balanced AGV mechanism for peer-to-peer energy trading in smart grids

Peer-to-peer(P2P)energy trading refers to a type of decentralized transaction,where the energy from distributed energy resources is directly traded between peers.A key challenge in peer-to-peer energy trading is designing a safe,efficient,and transparent trading model and operating mechanism.In this study,we consider a P2P trading environment based on blockchain technology,where prosumers can submit bids or offers without knowing the reports of others.We propose an Arrow-d’Aspremont-Gerard-Varet(AGV)-based mechanism to encourage prosumers to submit their real reserve price and determine the P2P transaction price.We demonstrate that the AGV mechanism can achieve Bayesian incentive compatibility and budget balance.Kernel density estimation(KDE)is used to derive the prior distribution from the historical bid/offer information of the agents.Case studies are carried out to analyze and evaluate the proposed mechanism.Simulation results verify the effectiveness of the proposed mechanism in guiding agents to report the true reserve price while maximizing social welfare.Moreover,we discuss the advantages of budget balance for decentralized trading by comparing the Vickrey-Clarke-Groves(VCG)and AGV mechanisms.

Incentives to Invest in Improving Quality in the Telecommunications Industry

This paper investigates the incentives of invest in improving quality （as opposed to investments in new activities） in the telecommunications industry, based on the example of wireless markets. What is the impact of competition on incentives to invest, and on capacities to invest？ What is the role of the rate of penetration and technical progress？ This paper highlights the fact that investment incentives are positively related to potential for technical progress. Investment incentives also depend on market structure, competition intensity, and penetration rate, but not monotonically. This paper consists of a theoretical part which, under assumptions of full market coverage and market share symmetry, shows that for each national market, there is a target level of investment which companies strive to achieve but had not exceeded, and an empirical part that confirms the findings of the theoretical part and explains the differences with the theoretical part by relaxing the assumptions of full coverage and market share symmetry. This target level on the one hand depends on the potential for technical progress and on the other hand, depends on the rate of penetration. From a social perspective, this target level is the best amount that companies are encouraged to invest. Non-achievement of the target level entails underinvestment and a decrease in consumer surplus and welfare and may slow down technical progress. A data set covering 30 countries over a period of eight years is used to empirically prove the existence of a change in investment behavior depending on whether or not the target level is achieved. A low margin per user may hamper achievement of the target level. As a result, maximum consumer surplus and welfare occur under imperfect competition but not under perfect competition.

The Impact of Firm Characteristics, Industry Types, and Financial Ratios on SMEs＇ Utilization of Tax Incentives

This study aims to contribute to the growing literature on issues of tax incentives for small and medium-sized enterprises （SMEs）. Through comprehensive exploration of data, the study investigates factors leading to successful and unsuccessful utilization of tax incentives among SMEs. Financial ratios were calculated based on the information retrieved from the companies＇ annual financial statement. Apparently, these financial ratios are evidence of how successful the companies are in utilizing the tax incentives. In this study, 129 small companies and 71 medium-sized companies were selected as samples for the period of 2003-2007. The result indicates that financial structure such as retained earnings, tax burden, cash flow, and inventory level determined the ability of companies to utilize tax incentives; hence leading to higher earnings generated from the business operation. The age of the companies affects the utilization of tax incentives and this denotes that older companies are more capable of generating higher earnings. Hence, a thorough analysis of the data allows us not only to determine the success of the company in utilizing tax incentives but also to identify the determinants that impact their performance.

Car Sales Service 4s Shop Incentives and Related Competitions

In order to improve the car sales service 4S shop management level,improve the economic and social benefits of enterprises,incentives are used to encourage their own 4s shops.In this paper,throughout the related analysis of the quarterly and annual awards incentive program in large-scale domestic automobile enterprises,entropy method with MATLAB software is applied to establish the dimensional fit function.In the data processing,the multiple linear regression function into Lingo software is employed to get the best solution;and C language is used to run the screening data program through the consistency test program in the sensitivity and error analysis.First of all,consider the company to maximize profits and maximize the amount of complaints in the store to maintain a low target;in terms of staff,we should consider providing more incentives for employees;in the customer,the overall satisfaction,service Attitude,vehicle cleanliness based should be improved.And two programs for the monthly profit and excess profits of progressive incentives should also be improved.

Corporate Environmental Awareness Incentives and Recommendations

China＇s environmental problems become increasingly serious. In the context of the enterprise, which does not have the motivation to take the initiative to improve the environment, we realize the importance of environmental consciousness. The necessity of the incentive of the environmental awareness will be elaborated by psychology aspect. In the meantime, some suggestions are advanced in knowledge and experience, government policy and financial institution fields, to really motivate the China＇s environmental consciousness, to really change environmental protection problem into the internal problems of the enterprise. Finally, it can enable the enterprises to protect environment actively, and promote the smooth implementation of environmental accounting.

Internal Control, Equity Incentives and Accrued Earnings Management

In recent years, there have been a lot of domestic and foreign earnings manipulations. Therefore, it is of great significance to study earnings management and its influencing factors in order to restrict earnings management and ensure the quality of accounting information. This paper studies the impact of internal control related earnings management, and incorporates equity incentives into the impact analysis framework of internal control related earnings management, and studies the effect of equity incentives on the relationship between internal control and accrued earnings management.

The Research about Earnings Management Incentives of Listed Companies in China

This paper overviews earnings management incentive of listed companies and finds the incentives of cost in transactions with stockholders, a comparative performance advantage and a rational response to that market behavior which is anticipated. This paper tells us that even if there were no agency problems, earnings management should exist all the time.

An Incentive Mechanism Model for Crowdsensing with Distributed Storage in Smart Cities

Crowdsensing,as a data collection method that uses the mobile sensing ability of many users to help the public collect and extract useful information,has received extensive attention in data collection.Since crowdsensing relies on user equipment to consume resources to obtain information,and the quality and distribution of user equipment are uneven,crowdsensing has problems such as low participation enthusiasm of participants and low quality of collected data,which affects the widespread use of crowdsensing.This paper proposes to apply the blockchain to crowdsensing and solve the above challenges by utilizing the characteristics of the blockchain,such as immutability and openness.An architecture for constructing a crowdsensing incentive mechanism under distributed incentives is proposed.A multi-attribute auction algorithm and a k-nearest neighbor-based sensing data quality determination algorithm are proposed to support the architecture.Participating users upload data,determine data quality according to the algorithm,update user reputation,and realize the selection of perceived data.The process of screening data and updating reputation value is realized by smart contracts,which ensures that the information cannot be tampered with,thereby encouraging more users to participate.Results of the simulation show that using two algorithms can well reflect data quality and screen out malicious data.With the help of blockchain performance,the architecture and algorithm can achieve decentralized storage and tamper-proof information,which helps to motivate more users to participate in perception tasks and improve data quality.

Study on Financial and Taxation Incentives to Promote Innovation and Entrepreneurship in China

Mass entrepreneurship and innovation are the key to the continued economic and social development in China For long,the nation's financial and taxation policies have been playing an active role in promoting innovation,entrepreneurship and overall social and economic growth in China.This paper makes an analysis of the strengths and weaknesses of the current financial and taxation policies,and explores the opportunities and challenges faced by the current financial and taxation policies.To cultivate a sound environment across China for sustainable innovation and entrepreneurship,it calls for a multi-layered financial and taxation incentive mechanism featuring dynamically monitored taxation policies on hi-tech enterprisos,more favorable tax incentives for medium-and small-enterprises.