Neural mechanism of proposer's decision-making in the ultimatum and dictator games

Previous studies have demonstrated that reactions to unfair offers in the ultimatum game are correlated with negative emotion. However, little is known about the difference in neural activity between a proposer＇s decision-making in the ultimatum game compared with the dictator game. The present functional magnetic resonance imaging study revealed that proposing fair offers in the dictator game elicited greater activation in the right supramarginal gyrus, right medial frontal gyrus and left anterior cingulate cortex compared with proposing fair offers in the ultimatum game in 23 Chinese undergraduate and graduate students from Beijing Normal University in China. However, greater activation was found in the right superior temporal gyrus and left cingulate gyrus for the reverse contrast. ＂The results indicate that proposing fair offers in the dictator game is more strongly associated with cognitive control and conflicting information processing compared with proposing fair offers in the ultimatum game.

The Research on and Application of the Multi-regression Technique in the Course of the Marketing Decision-making of Enterprises

The reformation of the economy system has led the f un ctional department and status of the enterprises into a variable state. Under th e condition of the market economy, the kernel of the enterprises’ functional dep artment has diverted to that of marketing decision-making, which face to market and meet with the need of consumption. Assuredly, the kernel of marketing decis ion-making is to prognosticate the future market demand of the production of en terprises accurately, so that it can ensure and realize the maximum of the enter prises’ profit increase. Using empirical research and the multi-regression technique, this paper ana lyzes the enterprises’ production demand forecast of the GMC (Global Management Challenge, held every year globally) and changes most of uncontrollable factors of demand forecast to the controllable ones of the enterprises. The method we us ed to forecast demand by using the multi-regression technique is as follows: 1. Look for the main factors which influence the demand of productions; 2. Establish the regression model; 3. Using the historical data, find the resolution of the correlative index an d do the prominent test; 4. Analyze and compare, regression, adjust parameter and optimize the regress ion model. Our method will make the forecast data closer to the actual prices of the future market requirement quantity in the production marketing decision-making of the enterprises and realize the optimizing combination and the working object w ith the minimum of the cost and the maximum of the profit. And it can ensure the realization of the equity maximum of the enterprises and increase the lifecycle of the production.

The Research and Application of the Multi-regression Technique in the Course of Enterprises＇ Marketing Decision-making

The reformation of the economy system has led the functional departments and status of the enterprises into the variance state. Under the condition of the market economy, the kernel of the enterprises＇ functional department has diverted to that of marketing decision-making, which faces to market and meets with the need of consumption. Assuredly, the kernel of marketing decision-making is to prognosticate the future market requirement quantity of the production of enterprises accurately, so that it can ensure and realize the maximum of the enterprises＇ profit to increase. Applying the proof to test demonstration analytical method of economics and adopting the multi-regression technique, this paper analyzes the enterprises＇ production requirement quantity decision-making of the GMC （Global Management Challenge） and changes a great many of uncontrollable factors to the controllable ones of the enterprises. So, it can make the forecast order form closer to the actual prices of the future market requirement quantity in the production marketing decision-making of the enterprises and realize the optimizing combination and the working object with the minimum of the cost and the maximum of the profit. And it can insure the realization of the profit increase of the enterorises mostly in the life-cvcle of the production.

The modulation recognition based on decision-making mechanism and neural network integrated classifier

A neural network integrated classifier(NNIC) designed with a new modulation recognition algorithm based on the decision-making tree is proposed in this paper.Firstly,instantaneous parameters are extracted in the time domain by the coordinated rotation digital computer(CORDIC) algorithm based on the extended convergence domain and feature parameters of frequency spectrum and power spectrum are extracted by the time-frequency analysis method.All pattern identification parameters are calculated under the I/Q orthogonal two-channel structure,and constructed into the feature vector set.Next,the classifier is designed according to the modulation pattern and recognition performance of the feature parameter set,the optimum threshold is selected for each feature parameter based on the decision-making mechanism in a single classifier,multi-source information fusion and modulation recognition are realized based on feature parameter judge process in the NNIC.Simulation results show NNIC is competent for all modulation recognitions,8 kinds of digital modulated signals are effectively identified,which shows the recognition rate and anti-interference capability at low SNR are improved greatly,the overall recognition rate can reach 100%when SNR is12dB.

Unlocking the Network Traffic Password of the Sudden Popularity of Oriental Selection:Consumer Behavior Decision-Making Mechanism Based on Mental Accounting Theory

This paper explores the decision-making mechanism of the consuming behavior hidden behind the sudden popularity of the Oriental Selection Company in terms of the mental accounting theory.Firstly,according to the“Non-alternative”characteristics of mental accounting,this paper expounds how the strategy of the bilingual live-streaming of Oriental Selection promoters stimulates consumers’desire to buy the advertised products and services whilst using the utility theory of mental accounting to analyze how Oriental Selection promoters improve consumers’acquisition utility and total utility.Secondly,we sum up the successful experiences of Oriental Selection:The live-streaming industry should apply the theory of mental accounting in effectively overcoming the shortcomings of the live-streamed marketing by stimulating consumers’desire and influencing their decision-making behavior through the streaming of content that triggers them to make purchases.This is achievable by abandoning the traditional ways of loudly urging consumers to buy goods.Finally,this paper puts forward some suggestions on how to use the mental accounting theory in promoting sustainable consumption and points out the prospects for Oriental Selection.

Factors of Marketing Toward Customer Decision-Making in Cross-Border E-Commerce:Case Study of QD Company

Taking small cross-border e-commerce enterprise QD company as an example,this study targets customers consuming on the platform of cross-border e-commerce enterprise QD company,and the purpose is to study the marketing factors affecting customer decision-making.By combining with relevant literature,this paper preliminarily confirmed that 7Ps,Technology Acceptance Model(TAM),and customer decision-making theory as the theoretical basis,and established the theoretical model.According to the mature scale of domestic and foreign scholars to measure the research variables,with 7Ps and TAM as the independent variable,TAM perceived usefulness and ease of use as the core of the independent variable,customer decision-making as the dependent variable,in the test before the project,forming a formal questionnaire,the main data are obtained through the design and distribution of the questionnaire.Based on a large number of relevant literature,this paper examines the marketing factors influencing customer decisions in cross-border e-commerce,then identifies goals,builds models,and proposes hypotheses.According to the technical acceptance model in consumer behavior theory,select the cross-border e-commerce enterprise quantum dot platform of consumers as the research object,finally through SPSS software on cross-border consumer feedback,including descriptive statistical analysis,factor analysis,correlation analysis,regression analysis test customer satisfaction,finally found a significant positive relationship between customer decision-making and marketing mix and TAM variables.

Marketing Factors Influencing Customer Decision-Making in the Interior Decorations Industry in Guangxi,China

The purpose of this study was to empirically examine the influence of marketing mix towards customer decision-making in the interior decoration industry of Guangxi,China.The interior decoration industry in Guangxi is growing at rapid pace.Therefore,this study is specially helpful for the interior decoration industry in Guangxi,China,and the interior decoration industry in Guangxi can use marketing mix for their business gained.In order to carry out this study,the population was taken to be those customers of the interior decoration.A sample(N=425)customers were taken using simple random sampling from the interior decoration consumers of Guangxi,China.It was hypothesized that marketing mix had positive influence on customer decision-making.It was hypothesized that marketing mix predicts customer decision-making.The results were analyzed with help SPSS software.Descriptive statistical analysis,Pearson correlation test,and regression analysis were used to test hypothesis.The results showed significant positive relationship and marketing mix was a predictor of customer decision-making.This research is significant and useful for all the interior decoration enterprises in Guangxi.

Research on the Marketing Mechanism of E-commerce Live Broadcast - Based on The Perspective of Brand Value Co-Creation

Today,the e-commerce live broadcast industry has formed a huge market,and it has become one of the important ways for most netizens to purchase goods.Live streaming has brought new opportunities for e-commerce and new growth for brand value.The interaction between brands and customers has gradually expanded,in this case,the importance of value co-creation has become more and more prominent.This article will take e-commerce live broadcast marketing as the research object,and the brand value co-creation as the research perspective,then provide a direction based on the value co-creation perspective for the healthy and long-term development of e-commerce live broadcast marketing by studying and analyzing the cases of brand value co-creation.

Multi-Blockchain Based Data Trading Markets With Novel Pricing Mechanisms

In the era of big data,there is an urgent need to establish data trading markets for effectively releasing the tremendous value of the drastically explosive data.Data security and data pricing,however,are still widely regarded as major challenges in this respect,which motivate this research on the novel multi-blockchain based framework for data trading markets and their associated pricing mechanisms.In this context,data recording and trading are conducted separately within two separate blockchains:the data blockchain(DChain) and the value blockchain(VChain).This enables the establishment of two-layer data trading markets to manage initial data trading in the primary market and subsequent data resales in the secondary market.Moreover,pricing mechanisms are then proposed to protect these markets against strategic trading behaviors and balance the payoffs of both suppliers and users.Specifically,in regular data trading on VChain-S2D,two auction models are employed according to the demand scale,for dealing with users’ strategic bidding.The incentive-compatible Vickrey-Clarke-Groves(VCG)model is deployed to the low-demand trading scenario,while the nearly incentive-compatible monopolistic price(MP) model is utilized for the high-demand trading scenario.With temporary data trading on VChain-D2S,a reverse auction mechanism namely two-stage obscure selection(TSOS) is designed to regulate both suppliers’ quoting and users’ valuation strategies.Furthermore,experiments are carried out to demonstrate the strength of this research in enhancing data security and trading efficiency.

Economy supervision mode of electricity market and its incentive mechanism

The analysis of a supervision environment is the first step for a company to enter the new electricity market. Transmission and distribution assets are the main investment targets of a company. The overseas power market belongs to the regulated industry;whether it is a stock M&A project or a green land bidding project, the regulatory environment determines the assets. The level of return and investment risk that guides the operation strategy of existing overseas assets, has a significant impact on the investment and operations of international companies. A comprehensive and rapid assessment of the regulatory environment can help the project teams of international companies understand the macroenvironment of the target electricity market within a short period, quickly identify investment risks, qualitatively analyze the return level of the underlying assets, shorten the decision time, capture investment opportunities, and enhance the team. Efficiency and quality of work are factors of great importance.

Exploration of Market Mechanism on Controlling Air Pollution and Carbon Emissions in China

Based on increasingly grim situation of carbon emissions in China,air pollution control and carbon emission reduction are very important. Therefore,combining with China’s specific national conditions,we should explore the market mechanisms to control air pollution and reduce carbon emissions in China. The achievement of the carbon emission reduction purpose needs to establish the carbon trade market based on intensity emission reduction and suitable for China’s national conditions. By setting the cross-industry,cross-region and cross-time carbon trade scenarios in China,this paper tries to study the market mechanism of carbon intensity trade among industries and regions and based on carbon finance mechanism.

Pricing Mechanism in Power Market Construction

The reform on electricity pricing mechanism is a critical problem in power market construction in China, and is in mutual supplementation and promotion with the latter. In particular, the pricing mechanism for electricity fed into network and that for electricity transmission and distribution as well as the relationship between coal and electricity prices, etc. have to be studied in depth. This paper presents several solutions and suggestions to these problems.

Evaluation method for assessing the auxiliary service transaction mechanism in regional power markets

Accurate and seamless auxiliary services in the power market can guarantee smooth and continuous power system operation. China’s new round of power system reform has entered a critical period, and reform implementation requires comprehensive improvements in the maturity of the supporting auxiliary service market. This study reviews the development status and evolution path of the European unified power market and the US regional power market, provides experience for the development of China’s regional power market, then identifies the key influencing factors of auxiliary service trading mechanism design in regional power markets. To analyze the rationality of the auxiliary service trading evaluation index, this paper established an evaluation model for assessing regional power markets. Using combined weight optimization, the gray correlation TOPSIS method was applied to comprehensively evaluate auxiliary service trading in the regional power market. Finally, the application of the proposed evaluation method was briefly analyzed to examine four regional power markets in China and evaluate the effectiveness of current market construction in different regions and provide suggestions for future market construction.

Research on the Effects of the Most Used Market Power Mitigation Mechanisms Considering Different Market Environments

The market power mitigation method of the supply-side has become one of the key points affecting the stability of the electricity spot market.Different mitigation mechanisms are used in the current mature electricity markets of the world.However,the same market power mitigation mechanism shows different effects in different market environments.Every market operator in the world needs the most efficient way to mitigate market power.Considering that there is no relevant literature discussing the market power effects of different mitigation methods in detail,the mitigation effects need to be discussed and further researched.So,we analyze the effects of the most utilized market power mitigation mechanisms while considering different market environments.Firstly,we establish a Nash-Stackelberg interactive game model to simulate the competitive strategies of power suppliers.Secondly,the different market power mitigation approaches are modeled.Then,a multi-agent system(MAS)genetic interior-point algorithm is proposed to solve the problem of suppliers.Finally,through the simulation analysis,the market power mitigation effects of different mechanisms while considering three operation states of the system in two market structures are all analyzed.

Optimal Decision-Making of Trans-Provincial Electricity Market Subjects with Risks under Renewable Portfolio Standards

The randomness and uncertainty of renewable energy generation are expected to significantly change the optimal decision-making of trans-provincial electricity market subjects.Therefore,it is beneficial to optimize the interests of each of these subjects,considering the unpredictable risks of renewable energy under the renewable portfolio standards(RPS)and researching their effects on the optimal decision-making of transprovincial electricity market multi-subjects.First,we develop a trans-provincial trading market mechanism for renewable energy and clarify the electricity supply and demand relation and the green certificates supply and demand relation of trans-provincial electricitymarketmulti-subjects.Then,under the RPS,we construct a multi-subject game model of the power supply chain that recognizes the risks,and adopt the reverse induction method to discuss the optimum risk-taking judgment of each subject in the trans-provincial electricity market.Finally,we useMATLAB to verify the viability and efficacy of the proposed gamemodel,and obtain a certain reference value for the optimal decision-making of trans-provincial electricity market subjects.In summary,we consider the uncertainty risks of renewable energy under RPS,study the effects of the green certificate price and risk aversion coefficient in the RPS mechanism on the optimal decisionmaking of trans-provincial electricity market subjects,and obtain the changing trends of two different power products and those of different electricity market subjects under the influence of the green certificate price and risk aversion coefficient,which have a certain reference value for studying the factors affecting the optimal decision-making of trans-provincial electricity market subjects.

Study on the roles and acting mechanism of the real estate brokerage in China second-hand housing market

As China housing reform deepens, the second-hand housing transactions become more and more popular and real estate brokerages, as an intermediary of the transactions, become an undeniable important part of this market. This article mainly explores the roles and the acting mechanism of real estate brokerages in the second-hand housing market. The results show that the participation of real estate brokers in the second-hand housing market may have positive and negative influences. On one side, brokers ease the housing transaction process and benefits buyers and sellers by shortening the sale time on the market. On the other side, if brokers are the only participants in the housing transaction, acting as buyer and seller like some firms do, housing prices will increase and this negative effect will become even stronger as the participation of many more brokers increases. Therefore, the regulation and management of the industry is vital for the long and healthy development of the housing market in China.

Discussion on the Formation and Trading Mechanism of Art Market Capital Price

Under the market economy system,art is a new investment channel.With the improvement of people's living standards,it has a new understanding of art investment.Based on this,this paper takes the price of art as the research object,and elaborates the price formation and transaction of the art capital market from the aspects of the intrinsic elements of art,the investment of art,the supply and demand of art market,people's boastful consumption and social education.The constraints imposed by the mechanism.

Study on carbon intensity trading market based on carbon finance mechanism

As the largest developing country in the world, China has not be involved in the obligation of emissions reduction in the （〈Kyoto Protocol）） . But it has become the largest CO2 emissions countries in the world. This makes China confronted with more pressure of carbon emissions reduction in the post-Kyoto era, and face great challenges in response to climate change issues. On one hand, China＇ s economic growth stage has decided that the situation of more energy consumption and increased carbon emissions is diffficult to reverse in the short term; On the other hand, the traditional policy under the control of total amount of carbon emission has largely restricted economic development. If a developing country in economic transition is carried out compulsory absolute amount of carbon reduction policies, its economic activity and social consumption will be imposed additional constraints inevitably, which will eventually lead to lower economic competitiveness and decline in social standards of living. Ultimately it will affect the good effects of carbon emissions reduction, so the policy can not achieve a satisfactory result. This paper introduces the financial mechanism into the carbon market model, extends the time of model from one phase to multi-phase. And this paper tries to establish a cross-time carbon credits trade system, and the current strength of the traditional carbon emission market trade model is extended. The paper designs two type of option mechanism model--call options trade carbon emissions model and put options carbon emissions model. Models＇ results show that choosing options tool to extend our traditional carbon market model can bring following impacts on carbon market development： trade costs have fallen, the carbon intensity also has descended, and has realized the flow of carbon intensity in diffident time; it enables manufacturers to effectively avoid the risk of carbon emissions trade; it increases the flexibility and maneuverability of the carbon trade market. Finally, the policy recommendations in the financial mechanisms carbon market trade are put forward.

TRANSFORM THE MECHANISM OF RENMINBI’S EXCHANGE RATE SYSTEM IN CONFORMITY WITH THE DEMAND OF MARKET ECONOMY——The academic report delivered at the Annual Meeting of NNCIFS on October 1993

Exchange rate functions under systems of centrallyplanned economy and market economy are quite different,and the mechanism to determine such exchange rate is alsodifferent. To adopt a socialist market economic system inChina, the exchange rate mechanism of Renminbi must bethoroughly transformed. To accomplish this goal, I believethere are three problems that must be solved: first,

Speeding Up the Transformation of the Operational Mechanism And Further Developing the International Market

According to customs statistics, China’s exports of machinery and electric products in 1996 were worth US$ 48.21 billion, an increase of 9.9 percent over the preceding year, and 8.4 percent higher than the growth rate of the nation’s total exports. The proportion of machinery and electric product exports in the nation’s total foreign trade volume\ increased from 29.5 percent in 1995 to 31.9 percent in 1996, a growth at 2.4 percent.