COVID-19 and Unemployment: A Novel Bi-Level Optimal Control Model

Since COVID-19 was declared as a pandemic in March 2020,the world’s major preoccupation has been to curb it while preserving the economy and reducing unemployment.This paper uses a novel Bi-Level Dynamic Optimal Control model(BLDOC)to coordinate control between COVID-19 and unemployment.The COVID-19 model is the upper level while the unemployment model is the lower level of the bi-level dynamic optimal control model.The BLDOC model’s main objectives are to minimize the number of individuals infected with COVID-19 and to minimize the unemployed individuals,and at the same time minimizing the cost of the containment strategies.We use the modified approximation Karush–Kuhn–Tucker(KKT)conditions with the Hamiltonian function to handle the bi-level dynamic optimal control model.We consider three control variables:The first control variable relates to government measures to curb the COVID-19 pandemic,i.e.,quarantine,social distancing,and personal protection;and the other two control variables relate to government interventions to reduce the unemployment rate,i.e.,employment,making individuals qualified,creating new jobs reviving the economy,reducing taxes.We investigate four different cases to verify the effect of control variables.Our results indicate that rather than focusing exclusively on only one problem,we need a balanced trade-off between controlling each.

Bilevel linear programming model of charging for effluent based on price control

For the optimum price problem of charging for effluent, this paper analyzes the optimal Pigovian Tax and the serious information asymmetry problem existing in the application process of optimal Pigovian Tax, which is predominant in theory. Then the bilevel system optimizing decision-making theory is applied to give bilevel linear programming decision-making model of charging for effluent, in which the government (environmental protection agency) acts as the upper level decision-making unit and the polluting enterprises act as the lower level decision-making unit. To some extent, the model avoids the serious information asymmetry between the government and the polluting enterprises on charging for effluent.

Construction Project Bidding Prices and Price Control Mechanism

In the 21st century, especially after the accession to WTO, Construction project bidding price formation mechanism is the main characteristics of the market price of the Construction project is divided in a unified, uniform measurement unit, unified in terms of engineering and consumption of fixed rules on the basis of the implementation of market, competition fees.The first to be carried out not only the financial decision-making, corporate contractors in accordance with the different ways, according to market conditions, its technology, economic strength, through the financial decision-making self-quotation. Second, it is necessary to exercise effective control, both the Construction project bidding price by the form of the contract price is fixed.By design, material procurement, construction management on the implementation of bidding for the effective control of prices.

Regulating and Controlling the Rising Prices of Geographical Indication Products in Inflation——taking Geographical Indication Products from Chongqing as an Example

Since July 2010,the prices of geographical indication products have risen with the occurrence of inflation.In contrast with other products,geographical indication products are distinct.The increasing prices of geographical indication goods have their own necessities.From the perspective of the products,they are equipped with appreciation potential due to the cultural pe culiarities.From the historical standpoint,their prices have not been high as well as other agricultural products.Realistically,the increase in their prices results from the costs of labors and raw materials.Therefore,the prices of geographical indication products rise to catch up.Not only are their prices at a reasonable level,but also they are beneficial to increase peasants'income.In con clusion,it is necessary that the strategies which are different from those of other products be adopted to regulate and control the prices of geographical indication products.

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.

The Price Model of Aquatic Products Based on Predictive Control Theory

This paper discusses a disequilibrium cobweb model of price of aquatic products, and applies predictive control theory, so that the system operates stably, and the deviation between supply and demand of aquatic products smoothly tracks the pre-given target. It defines the supply and demand change model, and researches the impact of parameter selection in this model on dynamic state and robustness of the system. I conduct simulation by Matlab software, to get the response curve of this model. The results show that in the early period of commodities coming into the market, affected by lack of market information and many other factors, the price fluctuates greatly in a short time. The market will gradually achieve balance between supply and demand over time, and the price fluctuations in the neighbouring two periods are broadly consistent. The increase in model parameter can decrease overshoot, to promote the stability of system, but the slower the dynamic response, the longer the deviation between supply and demand to accurately track a given target. Therefore, by selecting different parameters, the decision-makers can establish different models of supply and demand changes to meet the actual needs, and ensure stable development of market. Simulation results verify the excellent performance of this algorithm.

Optimal control of pricing strategy for diffusion model

This study presents a conceptual framework based on the new product diffusion and demand theory models. The proposed framework was creating a probability of demand function. Considering effectiveness of demand function transmitted by adopters, the optimal control policies of pricing are conducted according to the optimal control theorv.

NOVEL POWER CONTROL GAME VIA PRICING ALGORITHM FOR COGNITIVE RADIOS

To compensate the service providers who have paid billions of dollars to use spectrum and to satisfy secondary users' requirements in cognitive radios, a Non-cooperative Power Control Game and Pricing algorithm (NPGP) is proposed. Simulation results show that the proposed algorithm can regulate the secondary users' transmitter powers, optimally allocate radio resource and increase the total throughput effectively.

QoS awared power and admission controls based on non-cooperative game theory in wireless networks

In order to better accommodate heterogeneous quality of service (QoS) in wireless networks, an algorithm called QoS-aware power and admission controls (QAPAC) is proposed. The system is modeled as a non-cooperative game where the users adjust their transmit powers to maximize the utility, thus restraining the interferences. By using adaptive utility functions and tunable pricing parameters according to QoS levels, this algorithm can well meet different QoS requirements and improve system capacity compared with those that ignore the QoS differences.

Game-theoretic approach to power and admission control in hierarchical wireless sensor networks

Power efficiency and link reliability are of great impor- tance in hierarchical wireless sensor networks （HWSNs）, espe- cially at the key level, which consists of sensor nodes located only one hop away from the sink node called OHS. The power and admission control problem in HWSNs is comsidered to improve its power efficiency and link reliability. This problem is modeled as a non-cooperative game in which the active OHSs are con- sidered as players. By applying a double-pricing scheme in the definition of OHSs＇ utility function, a Nash Equilibrium solution with network properties is derived. Besides, a distributed algorithm is also proposed to show the dynamic processes to achieve Nash Equilibrium. Finally, the simulation results demonstrate the effec- tiveness of the proposed algorithm.

Grain Prices in China: a Review and Policy Proposals

Based on in-depth analysis of grain price fluctuations and their repercussions since 2003, this paper summarizes national grain price control measures undertaken in recent years, identifies their effects and remaining problems, and calls on relevant departments to pay close attention to current grain production and the grain market. Lastly, the paper puts forward policy proposals for making price regulation more predictive, directed and e ective.

Optimal reduction and equilibrium carbon allowance price for the thermal power industry under China’s peak carbon emissions target

As the largest source of carbon emissions in China,the thermal power industry is the only emission-controlled industry in the first national carbon market compliance cycle.Its conversion to clean-energy generation technologies is also an important means of reducing CO_(2)emissions and achieving the carbon peak and carbon neutral commitments.This study used fractional Brownian motion to describe the energy-switching cost and constructed a stochastic optimization model on carbon allowance(CA)trading volume and emission-reduction strategy during compliance period with the Hurst exponent and volatility coefficient in the model estimated.We defined the optimal compliance cost of thermal power enterprises as the form of the unique solution of the Hamilton–Jacobi–Bellman equation by combining the dynamic optimization principle and the fractional It?’s formula.In this manner,we obtained the models for optimal emission reduction and equilibrium CA price.Our numerical analysis revealed that,within a compliance period of 2021–2030,the optimal reductions and desired equilibrium prices of CAs changed concurrently,with an increasing trend annually in different peak-year scenarios.Furthermore,sensitivity analysis revealed that the energy price indirectly affected the equilibrium CA price by influencing the Hurst exponent,the depreciation rate positively impacted the CA price,and increasing the initial CA reduced the optimal reduction and the CA price.Our findings can be used to develop optimal emission-reduction strategies for thermal power enterprises and carbon pricing in the carbon market.

Airlines Cost Control in China:An Overlooked Perspective

With the deepening of economic globalization,the business environment has seen profound changes.The cost of aviation fuel has grown to represent a significant portion of air transportation costs for“energy-dependent”airlines.The cost of aviation fuel makes up a sizeable amount of Chinese airlines’cost structure and is increasingly limiting their profitability.The question of how to control the cost of aviation fuel from various perspectives has garnered widespread attention.This paper puts forward an overlooked perspective-the procurement strategy.Firstly,it describes the necessity of aviation fuel cost control,and then analyzes specific cases of aviation fuel procurement cost control.Finally,it proposes several effective suggestions from the perspective of aviation fuel procurement,aiming to improve the refined management of Chinese airlines’aviation fuel procurement.

On the Transmission Mechanism of the Chinese Land Policy in Macroeconomic-control: A Theoretical Study Based on Modified IS-LM Model

The purposes of this paper are to bring land factor into the general fame of national product and develop a new modified‘IS-LM equilibrium model',aiming to find out the impacts of land factor on the effective allocation of capital between total supply and total demand constituting gross national product,to analyze the relation mechanism among land factor and macroeconomic variables,and to discuss the theoretical mechanism under which land,fiscal and monetary policy are integrated. Methods employed include econometrics and model analysis. The results indicate that:( i) on the conditions that the equilibrium of supply and demand in land market,the modified IS-LM model taking into account land factor successfully performs transmission mechanism of land policy participation in macroeconomic-control by means of money capital regulation;( ii) the direction and intensity of land policy control are effected by elasticity of land supply and land price,meanwhile different characteristics of land supply elasticity exit in different stages of economic development;( iii) the realization of IS-LM equilibrium requires the aggregate effects of fiscal,monetary and land policy. It is concluded that land policies for macroeconomic-control drives land price higher,and land supply regulation would diminish financial effect. During the economic expansion or recovery period,the effect of expansionary land policy would be counteracted by high land price. During the economic transition or recession period,the government could control economical operation better through tightening land policy.

企业ESG表现缓解了股价延迟吗?--基于我国A股上市公司的经验证据

以2008—2021年华证ESG评级上市公司为研究样本,探究企业ESG表现对股价延迟的影响及作用机制。结果表明:企业ESG表现能够有效缓解股价延迟,股票流动性水平、分析师关注和内部控制质量是企业ESG表现缓解股价延迟的重要作用路径。截面异质性分析发现:企业ESG表现对股价延迟的缓解作用在非国有企业、非政企关联企业以及审计质量较高组中更强。研究结论为提升我国资本市场信息效率提供了新的线索,为推动企业ESG实践提供了必要启示。

捆绑销售供应链定价和质量控制策略研究

文章以单供应商、单零售商生产销售畅销品和滞销品供应链为研究对象,在考虑市场需求依赖零售商定价和供应商质量控制努力前提下,分别建立单独销售和捆绑销售下的供应商占主导、零售商占主导的Stackelberg博弈模型,推导出各模型下零售商的最优定价、供应商的最优质量控制策略。通过比较分析2种博弈模型下的供应链成员的策略和利润,得出如下结论:与供应商占主导相比,当零售商占主导时,无论是单独销售还是捆绑销售,零售商都会对滞销品制定较高的零售价格,供应商都会对滞销品投入较多的质量控制努力费用;在单独销售情形下,零售商对畅销品制定较高的零售价格,供应商对畅销品投入较多的质量控制努力费用;在捆绑销售情形下,结果恰好相反,零售商对畅销品制定较低的零售价格,供应商对畅销品投入较少的质量控制努力费用。无论是单独销售还是捆绑销售,供应商和零售商都在各自占主导时获得最大利润,也即序贯博弈中先动优势可以带来更多收益;但对供应链整体来说,零售商占主导的Stackelberg博弈是供应链双方的最佳选择。

供应链核心企业财务公司的双边利率定价模型研究

供应链核心企业财务公司的目标是提升链内企业总体资金能力。本文以最优控制理论为指导,基于已有的定价策略模型,以资金成本、预期损失、信誉水平为影响因素构建供应链核心企业财务公司的双边利率定价模型,求解财务公司双边利率的最优值,通过算例分析和图像模拟验证了结果的可行性。结果表明:财务公司的最优贷款利率和最优存款利率之间存在相互影响的函数关系;最优贷款利率随单位成本和信誉水平增加而增加,随预期损失的增加而减小;最优存款利率随单位成本和预期损失的增加而减小,随信誉水平增加而增加,旨在有效指导供应链财务公司进行合理的利率定价。

随机需求下考虑竞争因素的众包快递平台定价策略研究

伴随着“共享经济”模式的高速发展,众包快递模式应运而生。在此背景下,文章针对众包快递平台需求呈现随机且波动变化的特点,考虑众包快递平台之间的竞争,基于古诺竞争博弈理论,建立了考虑市场需求和市场竞争的动态定价模型,并运用变分法求解最优的价格问题。由于市场需求的变动,众包快递平台的最优服务价格会发生动态的改变,同时也受到平台间竞争的影响,最优服务价格将随着平台之间竞争强度的变化而变化。

银行行政处罚监管与审计定价:溢出还是替代?——来自中国上市商业银行的经验证据

以2007—2021年沪深A股上市银行为研究样本,探究银行监管机构行政处罚监管对审计定价决策的影响,研究发现银行监管机构的行政处罚监管显著提高了银行审计定价,经过一系列稳健性检验后结论依然成立,佐证了溢出效应假说。同时,作用机制检验结果表明,行政处罚监管主要是通过风险溢价的路径提高了审计定价。进一步分析发现:行政处罚监管强度越大以及查出内部控制相关问题越多,审计定价越高;在非国有银行、非“四大”会计师事务所审计、内部控制质量低和信息不对称高这四种情形下,行政处罚监管对审计定价提高的影响更为显著;行政处罚监管对外部审计的溢出效应能够促进双方发挥协同治理功能,从而更好地抑制了银行违法违规倾向。研究结论对银行监管机构和外部审计师加强协作,扎实推进党的二十大报告和中央金融工作会议强调的加强和完善现代金融监管、守住不发生系统性风险底线的方针具有重要启示意义。

针对温控负载变化的虚拟电厂控制策略研究

温控负载是一种变化剧烈、波动频繁、高峰负荷比例较高的负载,对电网的安全产生了极大的影响。为了应对这一问题,系统的输出功率往往会超过90%负荷最大值的调峰限制。针对虚拟电厂(VPP)系统内的超限过程进行了研究,并提出了2种控制策略,以降低超限总电量或者利用超限电量的同时获取收益。在验证策略的控制效果时,选取了2种由温控负载引起的功率需求的典型变化。研究结果表明,温控负载引起的功率需求峰值的变化对策略具有重要影响。在安全模式下,超限比例与峰值的增加呈反比,而与平均功率的增加呈正比;在收益模式下,峰值变化会影响储能放电过程,平均功率变化则会影响储能充电过程。随着功率需求的增加,收益逐渐减小,收益范围为3.62万~3.25万元。