Purchase willingness of new energy vehicles: A case study in Jinan City of China

doi:10.1016/j.regsus.2020.12.003

Abstract

Abstract:

Speeding up the promotion of new energy vehicles is an important measure to optimize the energy structure, promote energy conservation and emission reduction, and develop the economy sustainability. The research uses a questionnaire survey to analyze the residents’ willingness to purchase new energy vehicles in Jinan City of China, and utilizes the binomial logistic regression model and Global Moran’s I to explain the impact of three factors (including respondents’ personal characteristics and subjective cognition, products, and social environment) on the purchase willingness of new energy vehicles. According to the survey, 75.12% of the respondents consider buying new energy vehicles in the future, but only 11.66% of the respondents know new energy vehicles well. It can be seen that the respondents in Jinan City generally have an insufficient understanding of new energy vehicles. It may lead to a decline in residents’ trust in new energy vehicles, which will in turn affect their purchase willingness. Based on the survey, we find that women who live far from the city center enjoy high incomes and have a low-carbon awareness, generally exhibit a higher willingness to purchase new energy vehicles. Spatial distribution of the purchase willingness has certain aggregation characteristics, showing a positive spatial correlation pattern. Purchase willingness has a certain positive diffusion effect in space, and areas with a higher purchase willingness have a positive driving effect on their surrounding regions. Spatial distribution of the purchase willingness can be used as one of the breakthroughs in promoting new energy vehicles. In addition, safety, price, after-sales service, and infrastructure of new energy vehicles are important determinants of people’s purchase willingness. Among the types of subsidies, financial subsidy is most effective on the residents’ purchase willingness. Our research provides an important information for the promotion of new energy vehicles in the region.

Key words: New energy vehicles, Purchase willingness, Public acceptance, Global Moran’s I, Jinan City

Xueqing Tian, Qingling Zhang, Yuzhu Chi, Yu Cheng. Purchase willingness of new energy vehicles: A case study in Jinan City of China[J]. Regional Sustainability, 2021, 2(1): 12-22.

Figures/Tables 7

Fig. 1.

Table 1

Table 2

Fig. 2.

Fig. 3.

Appendix A

Appendix B

References 44

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Factor	Model regression coefficient	Exp(B)
Gender	-0.899^* (0.398)	0.407
Age	-0.446^* (0.334)	0.463
Education	0.585 (0.392)	1.794
Habitation	0.586^** (0.225)	1.797
Monthly income	0.563^* (0.239)	1.695
Environmental awareness	0.441^** (0.240)	1.473
Degree of understanding	-0.088 (0.310)	0.916
Price	-0.574^* (0.230)	0.190
After-sales services	0.733^* (0.210)	1.657
Number of car types	0.632 (0.313)	1.342
Infrastructure	0.416^* (0.214)	1.762

Factor	Unordered variable	Model regression coefficient	Exp(B)
Social network	Television news	0.325^** (0.194)	1.384
	Social communication	-0.342 (0.173)	0.673
	Internet	0.808^** (0.211)	1.732
	Adverts	0.412^* (0.122)	1.356
Car purchase motivation	Curiosity about new things	0.190 (0.314)	1.027
	Out of low-carbon environmental protection	0.784^** (0.187)	1.684
	In line with future trends	0.355^* (0.165)	1.433
Government subsidies	Financial subsidy	0.693^* (0.144)	1.611
	Free parking fees	0.012^* (0.132)	1.023
	Purchase tax exempt	0.243^* (0.186)	1.342
	Free number	0.039 (0.343)	1.132
	Hands-free	0.246^* (0.231)	1.274
Car performance	Safety	0.743^** (0.132)	1.843
	Recharge mileage	0.675^* (0.173)	1.694
	Charging time	0.453 (0.432)	1.243
	Accelerate performance	0.124^* (0.253)	1.144

Category	Factor	Variable	Variable assignment	Assignment meaning
Social environment	Social network	Television news	0, 1	0, Not choose; 1, Choose
		Social communication	0, 1	0, Not choose; 1, Choose
		Internet	0, 1	0, Not choose; 1, Choose
		Adverts	0, 1	0, Not choose; 1, Choose
	Government subsidies	Financial subsidy	0, 1	0, Not choose; 1, Choose
		Free parking fees	0, 1	0, Not choose; 1, Choose
		Purchase tax exempt	0, 1	0, Not choose; 1, Choose
		Free number	0, 1	0, Not choose; 1, Choose
		Hands-free	0, 1	0, Not choose; 1, Choose
Individual subjective cognition	Car purchase motivation	Curiosity about new things	0, 1	0, Not choose; 1, Choose
		Out of low-carbon environmental protection	0, 1	0, Not choose; 1, Choose
		In line with future trends	0, 1	0, Not choose; 1, Choose
Product itself	Car performance	Safety	0, 1	0, Not choose; 1, Choose
		Recharge mileage	0, 1	0, Not choose; 1, Choose
		Charging time	0, 1	0, Not choose; 1, Choose
		Accelerate performance	0, 1	0, Not choose; 1, Choose

Category	Variable	Variable assignment	Assignment meaning
Individual objective attributes	Gender	0, 1	0, Female; 1, Male
	Age	1-5	1, 18-20; 2, 21-28; 3, 29-40; 4, 41-65; 5, ≥66
	Education	1-4	1, Primary school or less; 2, Middle school; 3, Bachelor degree; 4, Master degree and above
	Habitation	1-3	1, Downtown; 2, Peri-urban areas; 3, Outskirts
	Monthly income	1-4	1, Under 2000 CNY; 2, 2000-5000 CNY; 3, 5000-10,000 CNY; 4, More than 10,000 CNY
Individual subjective cognition	Environmental awareness	1-4	1, Rarely; 2, Occasionally; 3, Often; 4, Always
Individual subjective cognition	Degree of understanding	1-3	1, Don’t understand; 2, Ordinary; 3, Understand
Product itself	New energy vehicle prices	1-5	1, Below 50,000 CNY; 2, 50,000-100,000 CNY; 3, 100,000 -200,000 CNY; 4, 200,000-400,000 CNY; 5, Over 400,000 CNY
	After sales service	1-3	1, Good; 2, Ordinary; 3, Bad
	Number of car types	1-3	1, Varieties; 2, Ordinary; 3, Few ordinary
Social environment	Infrastructure	1-3	1, Sound; 2, Ordinary; 3, Not sound