Optimal Two-Part Tariff Licensing in a Differentiated Mixed Duopoly

This paper considers the two-part tariff licensing by an innovating firm to its potential competitor in a differentiated mixed duopoly, in which one firm sets a quantity and the other firm charges a price. Based on the development cost incurred by the rival, we derive the optimal behavior of the firms under full information case and partial information case respectively. Information difference on the equilibrium strategies is also investigated.

Electric Vehicle Charging Load Optimization Strategy Based on Dynamic Time-of-Use Tariff

Electric vehicle(EV)is an ideal solution to resolve the carbon emission issue and the fossil fuels scarcity problem in the future.However,a large number of EVs will be concentrated on charging during the valley hours leading to new load peaks under the guidance of static time-of-use tariff.Therefore,this paper proposes a dynamic time-of-use tariff mechanism,which redefines the peak and valley time periods according to the predicted loads using the fuzzy C-mean(FCM)clustering algorithm,and then dynamically adjusts the peak and valley tariffs according to the actual load of each time period.Based on the proposed tariff mechanism,an EV charging optimization model with the lowest cost to the users and the lowest variance of the grid-side load as the objective function is established.Then,a weight selection principle with an equal loss rate of the two objectives is proposed to transform the multi-objective optimization problem into a single-objective optimization problem.Finally,the EV charging load optimization model under three tariff strategies is set up and solved with the mathematical solver GROUBI.The results show that the EV charging load optimization strategy based on the dynamic time-of-use tariff can better balance the benefits between charging stations and users under different numbers and proportions of EVs connected to the grid,and can effectively reduce the grid load variance and improve the grid load curve.

The Application of Embodied Cognitive Linguistics in the English Translation of Two-Part Allegorical Saying—An Analysis of Examples From A Dream of Red Mansions

As a kind of widely circulated folk language,two-part allegorical saying(“xiehouyu”)carries the wisdom of the Chinese people and is characterized with humor and vivid imagery.Taking the two English translation versions of A Dream of Red Mansions as examples,this paper analyzes the English translation of two-part allegorical saying based on the core principle of Embodied Cognitive Linguistics(ECL),“Reality-Cognition-Language”,and explores how the English translation of two-part allegorical saying reflects the three dimensions of ECL.

Distributed event-triggered optimal power management of distribution networks considering dynamic tariff

This paper introduces a novel fully distributed economic power dispatch(EPD)strategy for distribution networks,integrating dynamic tariffs.A two-layer model is proposed:the first layer comprises the physical power distribution network,including photovoltaic(PV)sources,wind turbine(WT)generators,energy storage systems(ESS),flexible loads(FLs),and other inflexible loads.The upper layer consists of agents dedicated to communication,calculation,and control tasks.Unlike previous EPD strategies,this approach incorporates dynamic tariffs derived from voltage constraints to ensure compliance with nodal voltage constraints.Addi-tionally,a fast distributed optimization algorithm with an event-triggered communication protocol has been developed to address the EPD problem effectively.Through mathematical and simulation analyses,the proposed algorithm's efficiency and rapid conver-gence capability are demonstrated.

欧盟碳关税对中国的经贸冲击及应对策略

开征碳税对我国应对欧盟碳关税、促进产业绿色转型具有重要意义。论文基于投入产出法计算隐含碳排放强度,采用GTAP模型研究欧盟碳关税对我国的经贸冲击和我国开征碳税应对欧盟碳关税的实施效果。结果表明:我国不开征国内碳税时,随着欧盟碳关税税率的提高和征税范围的扩大,对我国经济贸易的冲击更大,有利于我国行业低碳转型;我国开征碳税后,从经济角度看,短期内碳税税率为10美元/吨和征税范围为CBAM覆盖范围内的行业时,对我国经济贸易的负面冲击较小。从低碳转型角度看,碳税税率为30美元/吨和仅对CBAM覆盖范围内的行业征税时,更加有利于我国高碳行业低碳转型。从整体角度看,我国对CBAM覆盖范围内的行业征收10美元/吨的碳税,更加有利于应对欧盟碳关税的威胁。

考虑多种电价模式的工商业用户储能优化配置研究

针对第三监管周期最新电价政策下用户侧储能的优化配置问题,以变压器容量在100 kVA—315 kVA、可自由选择电价模式的一般工商业用户为研究对象,提出了考虑多种电价模式的用户侧储能优化配置方法。首先,对最新的电价政策进行分析解读作为后续模型构建的依据;接着,分别在两部制电价按需量计费、两部制电价按容量计费、单一制电价3种模式下建立了储能的优化配置模型,通过3种模式的对比从中选择经济性最高的储能配置方案;最后通过算例仿真对所提方法的有效性进行了分析验证。所提方法对大工业用户及其余一般工商业用户也同样适用,只需要对所提方法作相应简化即可。

Impact of the Regional Comprehensive Economic Partnership(RCEP)implementation on agricultural sector in regional countries:A global value chain perspective

The Regional Comprehensive Economic Partnership(RCEP)has created favorable conditions for building deeply integrated agricultural value chains(AVC)in Asia-Pacific.Based on the RCEP agreement,this study employed the global trade analysis project(GTAP)model to evaluate the impact of RCEP on AVC of member countries in terms of time,tariff reduction,and reduction of non-tariff barriers(NTB).The results indicate that(1)the implementation of RCEP boosts the value-added to agricultural exports for most member countries,particularly in competitive industries;(2)the increase in domestic production and processing capacity,reflected in domestic value-added(DVA),is the primary factor driving the rise in the value-added of agricultural exports across various industries of member countries;(3)RCEP enhances the participation of most regional countries in AVC,with varying impacts on AVC positioning,thereby fostering regional AvC development;and(4)RCEP has a positive effect on AVC indicators both in the short and long term,with the effect becoming more pronounced over time.Additionally,reducing NTB enhances the positive effects of tariff reductions on AVC indicators.Based on the analyses,the following recommendations are proposed:(1)Leverage the development opportunities arising from RCEP implementation to enhance the agricultural DVA;(2)capitalize on cooperative opportunities created by RCEP to build cohesive regional AVC;and(3)prioritize the effective implementation of RCEP'shigh-qualityrules.

不确定环境下基于动态税和电动汽车时空灵活性的配电网阻塞管理方法

电动汽车是减少交通领域能源消耗和减少碳排放的重要手段,但其大规模无序充电可能会造成配电网线路的阻塞现象。不同于常规负荷,电动汽车负荷具有时间和空间上的可平移性,通过价格等激励信号对电动汽车的时空分布进行引导,可优化配电网的负荷分布,实现有效的阻塞管理,保证配电网的安全稳定运行。同时,配电网中分布式能源以及负荷的随机性、波动性使得配电网的阻塞管理问题变得更为复杂,从而影响配电网的安全稳定运行。针对不确定环境下的含电动汽车配电网的阻塞问题,采用了鲁棒优化理论建立基于动态税的考虑电动汽车时空灵活性的配电网阻塞管理鲁棒优化模型,在配电网不确定因素波动的情况下,通过动态税引导电动汽车的时空分布,充分发挥电动汽车的时空灵活性,优化配电网的负荷情况,从而实现配电网的阻塞管理。通过对一组网络的仿真验证了模型在不确定因素波动存在的情况下,利用动态税实现不确定环境下考虑电动汽车时空灵活性的配电网阻塞管理方法的有效性。

Empirical analysis of carbon tariff's effect on the export structure of China's manufacturing industry and social welfare based on the GTAP model

In recent years,carbon emissions have gradually evolved from an environment issue into a political and economic one.Carbon tariff has brought about new trade barriers of developed countries,and in order to enhance the industrial competitiveness of developed countries,it will produce unfavorable impact on developing countries.Concentrated on the manufacturing industry,which is the most intensive high-carbon industry in China's export structure,this article studies the relationship between carbon tariff policy and industry structure of export trade and builds up a relation between climate change and international trade.First,by means of establishing a partial equilibrium model,it applies geometric analysis and mathematical analysis to compute the impact on China's manufacturing export trade and the consequences of the introduction of the US carbon tariff to China's manufacturing industry that has already imposed a domestic shipping carbon tax.Furthermore,with the application of the GTAP model,it estimates the overall economic and welfare effects on China's manufacturing industry if the US and Europe introduce carbon tariff by means of four ways,and then analyzes the influence on China's manufacturing industry export structure and social welfare as well.The result shows that the introduction of the US carbon import tariff lowers China's export price and export volume,and the implementation of a domestic carbon tax justifies a higher export price and a lower export volume for China.However,the degree of export reduction is smaller than that under the effect of the US carbon tariff.In the case of developed countries imposing carbon tariff on China's energy-intensive industries,such as chemical rubber products,oil and coal-processing industry and paper industry,whose export would be reduced,the negative impact on the paper industry is the severest,which will decrease the paper industry's export ranging from 1.79%to 6.05%,whereas the other industries' export will increase.Anyhow,it will promote China's manufacturing industry to adjust the export structure to a certain extent.In addition,it will lead to a decrease in China's welfare,with a decrease between $2,134 billion and $8,347 billion.Finally,this paper provides information on international coordination,export structure adjustment and green manufacturing adjustment as a reference for the development of China's manufacturing industry.

非理性偏好下动力电池再制造供应链最优决策与协调研究

考虑动力电池剩余容量不确定特征,构建由电池供应商和汽车制造商组成的再制造供应链,分别探讨决策双方完全理性、单向非理性偏好和双向非理性偏好等5种决策情形下的均衡解。研究发现:动力电池再制造容量起始点对回收量具有正向作用。在双向非理性偏好情形下,供应商的利他(公平)偏好程度增加导致制造商和系统总利润提高(降低),而自身利润总是降低;制造商的非理性偏好对供应链成员及系统利润的影响与供应商的非理性偏好程度有关。在单向非理性情形下,供应链成员的利他(公平)偏好程度增加导致自身利润下降(上升)而对方利润上升(下降)。两部定价契约和收益共享契约能够实现双向非理性偏好情形下再制造供应链的协调。

Scheduling optimization problem considering time-of-use tariffs and piece-rate machine maintenance in EAF steelmaking

An operating schedule of the parallel electric arc furnaces(EAFs)considering both productivity and energy related criteria is investigated.A mathematical model is established to minimize the total completion time and the total electricity cost.This problem is proved to be an NP-hard problem,and an effective solution algorithm,longest processing time-genetic(LPT-gene)algorithm,is proposed.The impacts of varied processing energy consumption and electricity price on the optimal schedules are analyzed.The integrated influence of the different weight values and the variation between the peak price and the trough price on the optimal solution is studied.Computational experiments illustrate that considering the energy consumption costs in production has little influence on makespan;the computational performance of the proposed longest processing time-genetic algorithm is better than the genetic algorithm(GA)in the issue to be studied;considerable reductions in the energy consumption costs can be achieved by avoiding producing during high-energy price periods and reducing the machining energy consumption difference.The results can be a guidance for managers to improve productivity and to save energy costs under the time-of-use tariffs.

History and Development of Mobile Tariff in China

With the rapid growth of mobile market in China,mobile phone has stepped into people’s life.Mobile development, especially mobile tariff is more and more concerned.At the same time,as services and competition in the mobile market change,package pricing,bundle pricing and sales, and handset compensation are becoming increasingly popular in the daily life.The diversified trend of mobile tariff calls for further study and analysis.By giving accurate historical facts and detailed data,as well as comprehensive description of mobile tariff development and history in China,the article analyzes several hot issues like handset compensation and tariff competition in order to offer beneficial reference for communication investigation.

The Research of the Tariff Revenue Impact on China Based on APEC List of Environmental Goods

In this paper, the development conditions of the trades of merchandises among APEC countries, which were based on the APEC environmental goods are retrospected and summarized. Considering the commitments to reduce tariff rates on the 54 types of goods in 2015, the international tariff revenue of each country on this kind of goods will be influenced to different extents. This article quantifies the potential loss of each country from the perspective of the tariff revenue loss and contrasts the results, in order to offer related advice and suggestions from the standpoint of Chinese participation of tariff reduction among environmental goods.

Scheduling of Household Power Consumption for Step and Time-of-Use Tariff System

This paper proposes a hybrid optimization to solve the scheduling of household power consumption for Step and Time-of-Use (TOU) tariff system. The target function is the cost of electricity, and the optimization object is total instantaneous power within a billing period. The control variables are starting moments of each household appliance. The optimization procedure is divided into two stages. Firstly, the prerequisite for minimal cost is calculated through mathematical analysis and generalized function theory. Secondly, the solution is obtained by using a heuristic algorithm in which the result of the first stage is considered to reduce the searching space. And an evaluation methodology is deduced to evaluate the optimization. The computer simulation demonstrates that the proposed approach can reduce the cost of electricity evidently in the sense of probability. The approach shows great value for embedded applications.

Study on Low Carbon Trade Development in China Pearl River Delta Region Initiated by Low Carbon Tariffs

In order to clarify the linkage between carbon tariffs and trade development, the Pearl River Delta region of China, the area with intensive processing trade, was selected to analyze the effects of carbon tariff collections on the production cost, export commodity structure, trade modes and trade terms of the export industries in the Pearl River Delta region, and measures of developing low carbon trade were proposed.

Optimal Tariff and Endogenous Drivers for Trade Liberalization

Trade liberalization requires institutional coordination and openness,and is driven by a multitude of factors.This paper simulates endogenous optimal tariffs under different model structures to uncover the underlying drivers of trade liberalization.Parametric calibration and simulation methods based on the numeric general equilibrium model are employed to estimate the optimal tariff rates of countries with and without trade retaliation.Then,near-reality assumptions are added into the standard general equilibrium model structure,including the cross-border capital flow,multi-country assumption and trade cost,to simulate decreasing optimal tariff rates.The simulation results suggest that world economic development has increased the economic ties and interdependence among nations,making trade liberalization an endogenous optimal choice.The backlash against globalization in recent years is motivated by short-term factors,but will not persist in the long run since it goes against the law of economic growth and socio-economic development.

Analysis of Nigerian Electricity Generation Multi Year Tariff Order Pricing Model

The Multi Year Tariff Order (MYTO) is the Nigerian Electricity Regulatory Commission (NERC) pricing framework for determining the Nigerian Electricity Supply Industry (NESI) pricing model. One of the objectives of the NERC’s MYTO pricing model is to ensure regulated electricity end user tariff without compromising return on investment. Achieving this objective is imperative to attract investors in the growing Nigerian electricity market. However, NESI has hitherto been faced with challenges ranging from its inability to provide sufficient power to its customers to not being viable enough to provide return on capital invested. In this paper, sensitivity analysis of power plant operation and performance parameters on the cost of electricity (CoE) generation using MYTO (power generation) pricing model were evaluated. Thermodynamic modeling and simulation of an open cycle gas turbine (OCGT) was carried out to augment scarce data on power plant performance and operation in Nigeria. Sensitivity analysis was carried out using probabilistic method based on Monte Carlo simulation (MCS) implemented in commercial software (@ Risk®). The result highlighted sensitivity of the model input parameters to cost of electricity generation based on technical and financial assumptions of MYTO model. Seven most influential parameters affecting generation cost were identified. These parameters and their correlation coefficients are given as: 1) foreign exchange rate, 0.76;2) cost of fuel, 0.51;3) thermal efficiency, -0.23;4) variable operation and maintenance cost, 0.22;5) fixed operating and maintenance cost, -0.03;6) capacity factor, -0.02;and 7) average capacity degradation, 0.01. Based on the gas turbine engine and input parameter distributions statistics for this study, the generation cost lies between 9.84 to 15.45 N/kWh and the probabilities of CoE within these values were established.

The Effect Tariff Policy before and after WTO Agreement Signature to Sedan Made in Japan Demand in Indonesia

The focus of this research is to know the effect of tariff policy of automobile demand before and after World Trade Organization (WTO). Analysis method used in this research is quantitative analysis with simultaneous model and estimated using Two Stage Least Square (TSLS) approach, and the next analysis is a test of hypothesis using partial and simultaneous test. Based on the result of the estimation, it can be concluded that the independent variable in the first model, car price and PDB per capita is positive and dummy variable of economic crisis is negative to Japanese automobile demand. And independent variable in the second model, demand and tariff (the first dummy) is positive but fuel price and tariff (the second and the third dummy) are negative to Japanese automobile price. In other words, the influence of tariff policy in 1980-1994 is positive, and those in 1995-1997 and 1998-2005 are negative to Japanese automobile demand.

A new two-part test based on density ratio model for zero-inflated continuous distributions

In this paper,we consider testing the hypothesis concerning the means of two independent semicontinuous distributions whose observations are zero-inflated,characterized by a sizable number of zeros and positive observations from a continuous distribution.The continuous parts of the two semicontinuous distributions are assumed to follow a density ratio model.A new two-part test is developed for this kind of data.The proposed test takes the sum of one test for equality of proportions of zero values and one conditional test for the continuous distribution.The test is proved to follow a 2 distribution with two degrees of freedom.Simulation studies show that the proposed test controls the type I error rates at the desired level,and is competitive to,and most of the time more powerful than two popular tests.A real data example from a dietary intervention study is used to illustrate the usefulness of the proposed test.

The Effect of Variable Electricity Tariffs in the Household on Usage of Household Appliances

Demand side management (DSM) has been discussed and investigated widely as a strategy to also influence residential energy consumption. Flexible energy tariffs are often proposed as a possible tool of DSM. However, real-life experience with this tool is rare. It was therefore the objective of this study to investigate under more realistic conditions how consumers are able and willing to adjust their residential energy consumption under the conditions of flexible energy tariffs with and without the support of intelligent smart appliances. Sixty-seven households in Germany within an experimental design with fictive tariff model (August 11 to July 12) driven by RWE Effizienz GmbH, as the energy utility, and Miele & Cie.KG, as the appliance manufacturer, were equipped with intelligent smart meters and 41 of them also with smart appliances (washing-machine and tumble-dryer). As a first part of the experiment, the energy tariff changed per hour and day by day, depending on the forecast of the availability of renewable energy in Germany between 10 €-Cent and 40 €-Cent per kWh. Consumers could respond to this change by adjusting the operation of their energyconsuming appliances either by themselves or—with the smart appliances—by a programmed start at low tariffs. The behaviour of the 41 consumers with smart appliances and their motivation are intensively investigated and analysed during this running two year project including several questionnaires. The consumers had to fill out daily a diary about the usage of their washing-machine, tumble-dryer, dishwasher and ironing devices. These data were matched with the actual tariff. This did allow identifying if and to which extend the consumers adjust their household activities depending on availability of solar and wind energy. These data were also used to calculate the cost savings by using the flexible tariff. In comparison to the costs of the fixed tariff of 25 €-Cent per kWh savings of 25% were realised on average. The results of a first phase already show that flexible tariffs are able to influence the operation of household appliances towards a flexible demand.