Intention to purchase electric vehicles: Evidence from an emerging market

Author(s):  
Niray Tunçel
2021 ◽  
Vol 12 (4) ◽  
pp. 240
Author(s):  
Ade Febransyah

The emergence of electric vehicles (EV) is inevitable. In Indonesia, EVs in various forms have been introduced to the market. However, the adoption of EV in the Indonesian market is still negligible. The purpose of this paper is to make an early prediction of consumers’ purchase intentions towards EV, particularly battery electric vehicles (BEV), in Indonesia. A multi-criteria decision model based on the analytic network process (ANP) approach has been proposed. There are several main criteria used to explain the purchase/don’t purchase decision towards BEV, namely functionality, emotion, cost of ownership, and car identity. Through a series of pairwise comparisons involving a number of target customers of senior level professionals, their purchase intentions towards BEV have been predicted. The results of this study show that these early wealthy, highly educated consumers have a moderate preference towards purchasing BEV. Their intention to purchase is influenced by criteria as follows: emotion (42.64%), functionality (25.94%), car identity (21.87%), and cost of ownership (9.55%). Even though the invited target customers do not represent the mass market, the findings of this study could help BEV makers in Indonesia choose who the early adopters are and find the BEV product-market fit in order to accelerate the adoption of electric vehicles.


2017 ◽  
Vol 35 (7) ◽  
pp. 858-876 ◽  
Author(s):  
Emerson Wagner Mainardes ◽  
Diana Von Borell de Araujo ◽  
Sarah Lasso ◽  
Daniel Modenesi Andrade

Purpose The purpose of this paper is to investigate the relationship between personal values and attitudes in an emerging market. And the authors verified whether the attitude plays a mediating role between personal values and the intention to purchase these products in the same market. Design/methodology/approach Two surveys were conducted with consumers of organic food in Brazil. The first study was conducted at two organic products fairs and obtained 385 responses. The second study was conducted on the internet and obtained 270 responses. The Portrait Values Questionnaire 21, plus attitude scales and purchase intent regarding organic food, was used. Data were analysed using structural equation modelling. Findings Significant relationships were found between personal values, such as openness to change (positive influence), conservation (positive), self-promotion (positive) and self-transcendence (negative). Significant relationships were also found between three personal values and the purchase intention of organic food (conservation – positive, self-promotion – positive and self-transcendence – negative), with all of them being mediated by attitude. The effect of openness to change on purchase intention was indirect, being mediated by attitude. Originality/value The authors noticed two theoretical gaps. The first involves the need to explore the attitude as a mediator in the relationship between the human values proposed by Schwartz (1992, 1994) and the intention to purchase organic food. Another perceived gap was pointed out by Steenkamp et al. (1999), Burgess and Steenkamp (2006) and Sheth (2011). These authors argue that consumption is different in emerging markets to that in more mature markets. This limits the ability to generalise consumer studies conducted in developed countries. This reasoning also applies to organic food.


Author(s):  
Jordan Fuller ◽  
Jamie Baxter ◽  
Jamie Skimming

We conducted a case study in London, Ontario to identify factors that influence decisions to purchase low carbon vehicles including what role municipal governments might play in encouraging low carbon vehicle purchase decisions. As part of a city-university partnership, this study reports (n = 257) results from a mail-out survey.  We test mainly whether social influences and mechanisms under municipal control predict intent to purchase electric vehicles (EV) and hybrid electric vehicles (HEV).  Both proximal social influencers (family and friends) (.179**, .393**) and distal social influencers (.219**, .142*) predict intent to purchase EV and HEV respectively.  City information sessions (.161** EV) and City promotion (.141* HEV) significantly influence intentions, while City-provided EV parking and charging are not. While municipalities may find other areas with greater impact on GHG reductions, the findings support promoting the social aspects of EV and HEV purchasing and providing relatively low-cost promotion/events.


Energy Policy ◽  
2010 ◽  
Vol 38 (7) ◽  
pp. 3797-3806 ◽  
Author(s):  
Stephen Brown ◽  
David Pyke ◽  
Paul Steenhof

2021 ◽  
Vol 329 ◽  
pp. 01075
Author(s):  
Shuo Yin ◽  
Xing Chen ◽  
Zhe Chai ◽  
Yao Lu ◽  
Danni Zhang

The power emerging market entities connected to the grid in a decentralized manner can increase the local new energy consumption rate. Under the background of accelerating the development of new energy, it is urgent to clarify the output characteristics of emerging market entities such as wind power, photovoltaics, energy storage, and electric vehicles to adapt to the development of distributed energy and the progress of power market reform. Major emerging entities contribute to mathematical analysis, promote the transaction design of emerging entities, and promote the rapid and healthy development of new energy.


2021 ◽  
Vol 12 (1) ◽  
pp. 81
Author(s):  
Olawale FATOKI

One of the major contributors to the relatively high levels of Greenhouse gas emissions in South Africa is road transportation. Electric vehicles (EVs) have been proposed as one of the solutions to this problem. However, the use of EVs is very limited in South Africa. Drawing on the Theory of Planned Behaviour (TPB), the study investigated the predictors of the intention to purchase EVs in South Africa. The study extended the TPB by adding three individual constructs (environmental consciousness, anticipated guilt and response efficacy) and two situational constructs (perceived benefits and perceived barriers). The cross-sectional survey method was used for data collection in a quantitative study. Descriptive statistics and structural equation modelling were used for data analysis. The results showed significant positive relationships between two TPB constructs (attitude and perceived behavioral control) and EV purchase intention. In addition, the effects of the environmental consciousness, response efficacy, perceived benefits and barriers are significant. Theoretically, the study extended the TPB to develop a model of EV purchase intention from the South African perspective. Empirically, the study added to the body of literature on the determinants of EV purchase intention. Practically, recommendations to improve the purchase of EVs are suggested.


2017 ◽  
Vol 2017 ◽  
pp. 1-12
Author(s):  
Tomio Miwa ◽  
Hitomi Sato ◽  
Takayuki Morikawa

This study investigates the effects of the range of a battery electric vehicle (EV) by using questionnaire data. The concern about battery depletion changes according to charging station deployment. Firstly, the methodology for deriving the probabilistic distribution of the daily travel distance is developed, which enables us to analyze people’s tolerance of the risk of battery depletion. Secondly, the desired range of an EV is modeled. This model considers the effect of changing charging station deployment and can analyze the variation in the desired range. Then, the intention of a household to purchase an EV is analyzed by incorporating range-related variables. The results show that people can live with a risk of battery depletion of around 2% to 5%. The deployment of charging stations at large retail facilities and/or workplace parking spaces reduces the desired range of an EV. Finally, the answers to the questionnaire show that the probability of battery depletion on a driving day has little effect on the intention to purchase an EV. Instead, people tend to evaluate the range by itself or directly compare it with their desired range.


Sign in / Sign up

Export Citation Format

Share Document