A Systematic Literature Review on Vehicle-Purchasing Behaviour

The shift of consumer buying preferences toward green vehicle can alleviate environmental degradation to a certain extent. Nevertheless, the uptake of green vehicles is still low. To understand this phenomenon, this systematic review focuses on the factors that influence vehicle-purchasing behavior. This study adopted the PRISMA method for the review and utilized Scopus and Web of Science as the main journal databases. The findings from this systematic review contribute to the body of knowledge by providing the basis for future research to evaluate the purchase intention of green vehicles by non-green vehicle drivers and the reasoning behind their vehicle preferences. Keywords: systematic literature review; purchasing behaviour; green vehicles eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI:

Optimization of Conventional and Green Vehicles Composition under Carbon Emission Cap

The CO2 emission of transportation is significantly reduced by the employment of green vehicles to the existing vehicle fleet of the organizations. This paper intends to optimize the composition of conventional and green vehicles for a logistics distribution problem operating under a carbon emission cap imposed by the government. The underlying problem involves product delivery by the vehicles starting from a single depot to geographically distributed customers. The delivery occurs within specified time windows. To solve the proposed problem, we design a hybrid metaheuristic solution based on ant colony optimization (ACO) and variable neighborhood search (VNS) algorithms. Extensive computational experiments have been performed on newly generated problem instances and benchmark problem instances adopted from the literature. The proposed hybrid ACO is proven to be superior to the state-of-the-art algorithms available in the literature. We obtain 21 new best-known solutions out of 56 benchmark instances of vehicle routing problem with time windows (VRPTW). The proposed mixed fleet model obtains the best composition of conventional and green vehicles with a 6.90% reduced amount of CO2 emissions compared to the case when the fleet consists of conventional vehicles only.

Sustainable Developement in Logistic – A Strategy for Management in Terms of Green Transport

Supply chain management is one of the most important elements of sustainable development. And due to the fact that the world market is driven by supply and demand, and the determinant of access to products is regional and international logistics, this paper focuses on the possibilities of implementing a green transport strategy in the context of sustainable development in logistic enterprises. This paper presents the results of the SWOT analysis pointing out the strengths, weaknesses, opportunities, threats of green vehicles market for the transport enterprises. It was noticed that the situation on the green vehicles market for the transport enterprises is characterized by the advantage of strengths and these strengths should be used to maximize the use of green vehicles. It emphasized that subsidies for green vehicles would allow to invest in a modern fleet, new solutions (e.g. own charging stations) can have an impact on the greater energy efficiency (self-sufficiency), increase of social awareness would force enterprises to take appropriate actions in the field of environmental protection and development of public transport based on green vehicles.

Purchase Behaviour of Environment-Friendly Automobiles

Objective - This research seeks to examine the purchase behaviour of environment-friendly automobiles. It also identifies the key factors affecting the purchase intention of green vehicles. The study adopted a quantitative approach, and primary data was analysed on Smart PLS3. The researcher utilised a non-probability sampling technique to select the most appropriate sample for this study. This type of sampling is also known as purposive sampling, deliberate sampling, and or judgement sampling. Independent variables of this study include environmental attitudes such as; environmental knowledge, environmental values and responsibility feeling. These variables were tested against purchase intention, which is regarded as a dependent construct of this study. Finding – Based on the findings, all the proposed hypotheses of this study are proven significant. Environmental knowledge has a positive effect on environmental values. Environmental values have a significant effect on the formation of a responsibility feeling. Responsibility feeling has a significant effect on the purchase intention of green vehicles. Novelty – Individuals who possess adequate knowledge about their environment are likely to develop environmental values, which then transforms into a responsibility feeling towards the environment and then predict the purchase intention of environment-friendly automobiles. Citizens should thus be equipped with adequate knowledge about environmental issues, through formal and informal education, and through socialization agencies and awareness campaigns, as this will help in boosting pro-environmental and sustainable human behaviours. Type of Paper: Empirical. JEL Classification: O31, O32, O33. Keywords: Environment-friendly automobiles; purchase intention; environmental knowledge; environmental values; responsibility feeling. Reference to this paper should be made as follows: Mabaire, A.M; Guangquan, X.U; Moyo, N. (2021). Purchase Behaviour of Environment-Friendly Automobiles, GATR Global J. Bus. Soc. Sci. Review, 9(1): 65 – 72. https://doi.org/10.35609/gjbssr.2021.9.1(8)

Examination of the Development of New Bus Registrations with Alternative Powertrains in Europe

The setting of minimum targets for EU member states to procure green vehicles within two reference periods ending in 2025 and 2030, should help to promote mobility with low, respectively zero emissions. The research results reveal that the V4 countries (Slovakia, Poland, the Czech Republic and Hungary) will find it very difficult to meet the set minimum targets for the share of ecological buses in the total number of buses included in the sum of all contracts subject to EU Directive 2019/1161 concluded from 2 August 2021. The share of buses with alternative powertrains in the V4 countries in 2019 was only 12.79% (with the minimum target being much higher). The Nordic countries are best placed to meet the minimum targets for the share of green buses (in 2019, the share of such buses was almost 19%). The crisis caused by the COVID-19 pandemic, which has and continues to affect bus demand across Europe, may have a significant impact on meeting the minimum targets, especially by the end of the first reference period.

The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review

Widespread adoption of green vehicles in urban logistics may contribute to the alleviation of problems such as environmental pollution, global warming, and oil dependency. However, the current adoption of green vehicles in the last mile logistics is relatively low despite many actions taken by public authorities to overcome the negative externalities of distributing goods in cities. This paper presents a comprehensive literature review on studies investigating the adoption of green vehicles in urban freight transportation, paying specific attention to e-commerce. To shed light on the adoption of green vehicles in city logistics, the paper conducts a systematic review of the empirical literature on the topic. The 159 articles reviewed were classified into the following: (a) Optimization and scheduling (67 papers); (b) policy (55 papers); (c) sustainability (37 papers). Among the 159 articles, a further selection of 17 papers dealing with e-commerce, i.e., studies that highlight the most relevant aspects related to the integration of green vehicles in e-commerce urban logistics, was performed. Our findings indicate that green vehicles are competitive in urban deliveries characterized by frequent stop-and-go movements and low consolidation levels while incentives are still necessary for their adoption. The use of autonomous vehicles results the most promising and challenging solution for last-mile logistics.

CONSUMERS’ WILLINGNESS TO PAY (WTP) OF SPECIAL TAX FOR NON-GREEN VEHICLES TOWARDS ENVIRONMENTAL PERFORMANCE IN MALAYSIA

The use of the green concept in the automotive industry as an energy-efficient transport innovation is still regarded as a new technology in Malaysia. It also has the potential to alleviate environmental issues in order to improve environmental performance in the automotive industry context. As such, the significance of green technology has become a growing concern, especially among developing countries. The purpose of this study is to determine consumers’ willingness to pay for green vehicles towards solving environmental issues in Malaysia. In order to achieve this, the consumers’ willingness to pay (WTP) and their preferences were examined using the contingent valuation method (CVM) as found in previous studies. Data was gathered using survey questionnaires which were distributed among 445 Malaysians so as to know their preferences in terms of green vehicles and green practices. The data was analyzed using the Economic Valuation Method. The result shows that Malaysians are willing to pay the price increase in road tax by 6.49% maximum level for non-green vehicles as well as all control variables included in the doubled-bounded case. On the other hand, for a single-bounded case, the maximum value is 7.91% which is higher as respondents were given single WTP amount for acceptance compared to the double-bounded case when the initial WTP was followed by another different amount.