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Study On Purchase Intention Of New Energy Vehicles Based On Structural Equation Model

Posted on:2019-04-18Degree:MasterType:Thesis
Country:ChinaCandidate:F L YaoFull Text:PDF
GTID:2417330566959526Subject:Applied Statistics
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In recent years,due to the increase in the purchase of fuel vehicles in the country,harmful gases and solid particulate pollutants emitted by automobile exhaust have caused great harm to the environment.At the same time,the rapid development of motor vehicles has caused serious congestion in the city and the emission of automobile exhaust gas.It also poses a serious threat to people's health.The "Made in China 2025" document shows that by 2025.The annual sales volume of new energy vehicles in China will reach 20% of the total demand of the automobile market and the market share of autonomous new energy vehicles will reach more than 80%.The national level will form an independent innovation and development plan for new energy vehicles that inter-industry linkage will be implemented and a sustainable and feasible fiscal and tax incentive policy for new energy vehicles will be introduced.This article is based on the research status of new energy vehicles,consumer behaviors,the theoretical basis of purchase decisions,and elaborates on new energy vehicles in terms of safety factors,technical factors,sensory factors,convenience and cost factors,external influence factors.Influence,building an index system that affects the purchase intention of NEVs,and put forward corresponding research assumptions.By means of questionnaire,442 questionnaires were obtained from Nanchang people taking the sample of interview.Firstly,a descriptive analysis of the data collected shows that the basic characteristics of the surveyed objects and consumers are mainly concerned about the lack of battery capacity,inadequate charging facilities and other supporting facilities,lack of horsepower,and long charging time when considering purchasing new energy vehicles.And other issues.Through cross-analysis,men can be found,and consumers over the age of 45 know more about the government's subsidy policy.At the same time,the more they understand the subsidy policy,the higher the desire to buy new-energy vehicles.Secondly,exploratory factor analysis was performed on the collected data using spss.The 21 observation variables were divided into 5 factors,and a scoring equation that influences the purchase intention was constructed based on the score coefficient.Finally,the technical factors of the electric car were found to be the main factors affecting the purchase intention.Finally,using Amos software to construct the structural equation model for the overall,and construct a multi-group structural equation model based on different genders,according to the results,external factors,convenience and cost factors have a greater impact on consumers' purchase intention;from multiple groups Structural equation found that men and women the intention to buy very different influence factors,sensory factors,external factors and safety factors have a greater impact on women;men pay more attention to technical factors,convenience and cost factors,which can be seen in the new energy vehicles Men's performance is more rational in their purchases.Calculate the impact of each influencing factor on purchase intention.In order to guide the car manufacturers to targeted different types of new energy vehicles,according to the different gender influencing factors to design new energy vehicles in line with their needs,so as to avoid blindly to increase all kinds of unnecessary configuration,not only can control costs,but also increase sales.
Keywords/Search Tags:new energy vehicles, indicators, gender, structural equation model, purchase intention
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