Marketing Factors Affecting Middle Class Consumer’s Buying Decision in Housing Market in Nanning City

It is important to study the relationship between marketing factors and purchase decisions of middle-class consumers in Nanning housing market.This study will investigate the factors influencing people decision to purchase houses in Nanning City.The extrinsic housing attributes at this study consist of environmental attributes and location attributes.I have a limited understanding of the purchase behavior of Nanning home buyers in Nanning City.This study adopts the data collection methods of e-mail and field survey.Based on 509 questionnaires,the data were analyzed using descriptive statistics analysis and logistic regression.The results show that location attributes,such as school districts,positively influence housing purchase decisions in Nanning City.This study contributes to an improved understanding of home buyers’decision making in Nanning City.The beneficiaries of this study include home buyers and marketers and academic institutions.To better meet home buyers’needs and achieve a competitive advantage,marketers can use the research outcomes to focus more on those housing purchase factors that significantly influence house buyers’purchase decision making.

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.

Major Factors Influences the 2008 Stock Market

2007 was an unusual year for China's stock market, as the index climbed from 2675 points up to 6124 by the end of the year, setting new records again and again throughout 2007. What will happen to the stock market in the coming 2008? Let's havea look at some of the main factors that will influence the stock market this year, perhaps we can find out if 2008 will be another memorable year full of surprises.……

Research on Customer Satisfaction Based on 7Ps Marketing Mix Strategy:A Case Study of Suofeiya

Based on the situation of China’s custom home furnishing industry,this paper systematically analyzes the marketing environment and market competitiveness of China’s custom home furnishing industry.If an enterprise wants to produce in the market competition,marketing strategy is very important to the development and competition of the enterprise.Marketing strategy,based on Guangxi Suofeiya custom household customer satisfaction as the research object,based on the demographic characteristics and consumer behavior and marketing strategy,carries on the quantitative analysis of customer satisfaction,component factors affecting customer satisfaction index,set up 28 observation variables affecting customer satisfaction,uses the questionnaire survey,through the questionnaire star network distributed in the form of data collection;SPSS 22.0 descriptive statistical analysis,reliability analysis,validity analysis,correlation analysis,and regression analysis were carried out on the collected data.By studying the significance of demographic characteristics,consumer behavior,and marketing strategies,customer satisfaction,the results show that different aspects of gender,age,monthly household income,and occupations are different from customer satisfaction,but different education levels have no significant difference.According to the research conclusion,from the perspective of 7Ps marketing theory,optimization marketing suggestions are put forward for Sophia Company to improve customer satisfaction,so as to enhance its competitiveness in Guangxi home furnishing market,and provide reference for other customized home furnishing enterprises.

Exchange Rate Change, Factor Market Distortion and Company Performance

Based on the matched data of China’s tax survey and customs from 2007 to 2011,this paper studies the differential impact of exchange rate changes on the performance of companies by region from the perspective of factor market distortion.The results show that for import companies,the RMB appreciation significantly contributes to improving their performance and this phenomenon is more pronounced in areas with high factor market distortions.Channel tests show that the proportion of intermediate goods imported by final producers increases with regional factor market distortions.Therefore,the appreciation of the national currency is more favorable for areas with high factor market distortions(companies with high proportion of imported intermediate goods).In addition,the appreciation of the national currency will promote the production of China’s upstream intermediate goods producers by expanding the output of downstream enterprises.This paper complements previous studies on the differential impact of RMB exchange rate changes on regional economic growth from a micro perspective.

Technology inflow following high-speed railway:Evidence from Chinese cities

Urban development thrives from technology inflows,which refers to the transfer of highvalue technology from various cities to local recipients.The asymmetry of technical information-rooted in the tacit knowledge inherent in technology-mandates that technology transfer is heavily dependent on interactions and communication among talented individuals.This study examines the effect of China's high-speed railway(HSR)on technology inflow,with an emphasis on talent interaction in the technology transfer process.The findings suggest that HSR mitigates cross-city commuting costs and facilitates face-to-face interactions between talent,thereby fostering an increase in technology inflows to various cities."Talent"use HSR to transfer knowledge to cities teeming with such talent resources.Concurrently,areas with robust intellectual property rights protection witness an upsurge in intercity technology transfer via HsR.This study elucidates the macro-mechanism of urban technology flow from the perspective of public transportation offering valuable insights for technology market infrastructure and services.

Why Do Chinese Private Enterprises Seek Outward Foreign Direct Investment?

China is currently in a period of economic transformation and the reform of the factor market still lags behind that of the product market.This study explores the reasons causing China's private enterprise to expand abroad from the perspective of domestic factor market imperfection.Using data for Chinese listed firms between 2002 and 2020,it examines whether outward foreign direct investment(OFDI)has been undertaken by private enterprises as a response to domestic factor market imperfection.It finds that private enterprises located in regions with greater factor market imperfection have had a greater tendency to engage in OFDI.This effect has been more pronounced among firms with high productivity or high innovation capability,and among medium and small private enterprises.

Reusable electronic products value prediction based on reinforcement learning

With the appearance of a huge number of reusable electronic products,the precise value evaluation has become an urgent problem to be solved in the recycling process.Traditional methods rely on manual intervention mostly.In order to make the model more suitable for the dynamic updating,this paper proposes the reinforcement learning based electronic products value prediction model which integrates market information to achieve timely and stable prediction results.The basic attributes and depreciation attributes of the product are modeled by two parallel neural networks separately to learn the different effects for prediction.Most importantly,the double deep Q network is adopted to fuse market information by reinforcement learning strategy,and the training on the old product data can be used to predict the following appeared product,which alleviates the cold start problem.Experiments on the real mobile phone recycling platform data verify that the model has achieved higher accuracy and it has a better generalization ability.

数据共享和创新应用:深圳智慧城市中的多主体互动机制研究

Data is not only a key production factor but also an important foundation and strategic resource that drives economic growth and social progress in the era of digital economy. Data sharing and innovative utilization in an ethical and responsible manner is a focus of the current studies on smart city construction. Taking Shenzhen as an example, this paper analyzes the three typical cases of data legislation, data sharing and utilization,and data-based anti-epidemic action in its smart city construction and explores the respective role of the four actors of the government, enterprises,research institutes, and the public in innovating data utilization to serve the public interests through data sharing. By studying Shenzhen’s multi-actor interaction mechanism of smart city construction, the paper tries to provide a useful experience for the construction of smart cities in China from the perspectives of data management, data sharing, and innovative data utilization.