The impact of consumer attitudes towards energy efficiency on car choice: Survey results from Norway

Orlov, Anton; Kallbekken, Steffen

doi:10.1016/j.jclepro.2018.12.326

Cited by 65 publications

(40 citation statements)

References 24 publications

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“…23 Unfortunately, this fact could potentially increase reluctance towards the new propulsion technologies, especially fuel cell electric vehicles (FCEVs) and BEVs, as due to their novelty and car buyers' lack of familiarity they are potentially perceived as being more unsafe, unreliable, and risky (e.g. Orlov and Kallbekken et al, 2019;Wang et al, 2018;Krause et al, 2013;Egbue and Long, 2012;Lane and Potter, 2007).…”

Section: Discussion Of Resultsmentioning

confidence: 99%

“…That is, communication efforts and trials should focus on the main barriers for AFV adoption and aim at allaying the notion of AFVs as being unsafe or unreliable, as well as establishing confidence in recharging infrastructure, driving range, but also superiority regarding environmental impact and total cost of ownership (Haustein and Jensen, 2018). The latter is important, as a considerable amount of households is found to be unaware or unsure with regard to the monetary (Orlov and Kallbekken, 2019) and environmental (Graham-Rowe et al, 2012) savings potentials of energy-efficient vehicles.…”

Section: Policy Implicationsmentioning

confidence: 99%

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Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany

Hackbarth

Madlener

2018

SSRN Journal

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This paper examines joint consumer purchasing decisions of vehicle type and fuel type based on a dataset from a Germany-wide survey among 1500 potential car buyers. The goal is to study the buyer segments that are considering to purchase the different types of vehicles and to identify the main determinants influencing the joint choice decision: socio-demographic and household characteristics, attitudes and preferences, as well as vehicle-related attributes. Based on a nested logit model, our results suggest that although German car buyers' are very heterogeneous regarding their preferences, several similarities are found between buyers of specific vehicle types (10 vehicle classes) and specific fuel types (gasoline, diesel, alternative fuel), e.g. smaller cars and alternative fuel vehicles (AFVs) have commonalities regarding individual's environmental awareness/behavior and fuel consumption/costs. Policy-makers, when tailoring their policies, can benefit from making use of the specific insights gained from this particularly comprehensive study, and the comparisons made with the German and international scientific literature on the topic. For instance, the similarities between buyers preferring specific fuel types and specific vehicle types can be used for tailorized measures to incentivize individuals' vehicle type shifting (e.g from larger to smaller vehicles), fuel type switching (e.g. from fossil-fuelled vehicles to AFVs), or both.

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Section: Discussion Of Resultsmentioning

confidence: 99%

Section: Policy Implicationsmentioning

confidence: 99%

Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany

Hackbarth

Madlener

2018

SSRN Journal

View full text Add to dashboard Cite

show abstract

“…In this paper, we distinguish the observed variables into positive and negative attributes. Through the establishment of the multinomial logit model [49][50][51][52][53][54][55], we further study the influence of various attribute factors on the actual purchasing behavior of electric cars.…”

Section: Research Modelmentioning

confidence: 99%

Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model

Qin

Zhang

et al. 2019

Sustainability

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At present, electric cars are being developed rapidly in China as emerging carbon emission reduction vehicles, but their proportion in the Chinese automobile market is still small, and a large number of potential consumers are still holding a wait-and-see attitude. Therefore, for the sake of promoting the further development of electric cars in China, this paper based on the TPB (Theory of Planned Behavior) theoretical research framework, investigates potential consumers in typical areas of Beijing and collects a large amount of data through the design of paper and electronic questionnaires. SEM (Structural Equation Modeling) and MNL (Multinomial Logit Model) models are used to analyze key factors affecting consumers’ purchase intention and actual purchasing behavior. The results show that the positive and negative attributes of consumers’ attitude, subjective norm, and perceived behavior control will have different effects on consumers’ actual purchasing behavior. Finally, based on the analysis results, some reasonable suggestions are proposed for the government and EV (Electric Vehicles) enterprise service providers to increase electric vehicle diffusion.

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“…Plötz et al [20] have claimed the most likely group of private EV buyers in Germany to be middle-aged men. Orlov et al [21] have determined the number of children in a family to be an additional influencing factor.…”

Section: Influential Factors To the Adoption Of Electric Vehicles (Evs)mentioning

confidence: 99%

“…On the other hand, current research has found that financial subsidy policy measures (subsidies of operation and subsidies of purchase) tend to be the most effective measure [40,41]. Orlov et al [21] have claimed that the government provides incentives to use electric vehicles by reducing the loan rate for purchasing them. Zhang et al [42] have asserted that whether subsidized adoption is sustainable largely depends on consumers' perceptions and motivations towards purchasing an EV.…”

Section: Policies Realted To Electric Vehicles (Evs)mentioning

confidence: 99%

Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China

Yang

Tan

2019

Sustainability

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The adoption behavior of electric vehicles (EVs) has received considerable attention. However, the whole process of purchase behavior has not been well understood. In response, this paper investigates the uptake of EVs in Beijing, China, with a focus on the whole process of purchasing an EV, as well as the relevant policies. Specifically, the classical Howard–Sheth theory is used to the analyze the whole process of EV purchasing, which is divided into four stages here, namely, “Ignored and Neglected”, “Proactive Attention”, “Comparison and Selection of Vehicles” and “Usage Evaluation”. Furthermore, several “what-if” scenarios are set up to quantify the influence of some typical EV-related polices, including the license plate lottery policy and no traffic constriction on battery electric vehicles (BEVs). The results suggest: (1) 63.4% of BEV owners have rigid travel demands with cars; (2) BEVs with a driving range of 500 km, 30-minutes charging time and price of RMB 15,000 are the first choices for the majority of people; (3) 64% of BEV owners are influenced by positive comments from the users around them in the adoption of EVs; (4) the no traffic constriction on BEVs tends to be more influential than the license plate lottery policy in terms of the numbers of applications for the vehicle purchase permits and BEV purchasers, as well as energy saving and vehicular emission reduction. These findings should be helpful for different EV-related stakeholders, such as the government, to shape their policies and promote the development of EVs.

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The impact of consumer attitudes towards energy efficiency on car choice: Survey results from Norway

Cited by 65 publications

References 24 publications

Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany

Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany

Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model

Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China

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