Assessing Consumers’ Preferences in Purchasing Green Vehicles: An Economic Valuation Approach

Author(s):  
Hanny Zurina Hamzah ◽  
Sharul Shahida Shakrein Safian
Author(s):  
Sharul Shahida Shakrein Safian ◽  
Hanny Zurina Hamzah

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.


Author(s):  
Majid A Dehkordi

Although researches in the eco-friendly innovation studies have contributed much to technological development, a limited contribution has been made to the importance of structural concepts, strategic decisions and early stage marketing in the diffusion of innovation. The uniqueness of this research lies in its effort of exploring Toyota’s commercialization strategies for the first generation of its green vehicles, Prius Hybrid and RAV4 EV. Literature is reviewed from both historical and technological perspectives. The Roger’s Diffusion model was used and on the basis on this review, it has been argued that Toyota’s hybrid vehicle commercialization strategy affected this company’s electric vehicle development at least for a decade. The results fill a gap in the literature, particularly in Green vehicles research, development, and marketing.


2005 ◽  
Vol 5 (6) ◽  
pp. 95-104 ◽  
Author(s):  
D.N. Barton ◽  
T. Saloranta ◽  
T.H. Bakken ◽  
A. Lyche Solheim ◽  
J. Moe ◽  
...  

The evaluation of water bodies “at risk” of not achieving the Water Framework Directive's (WFD) goal of “good status” begs the question of how big a risk is acceptable before a programme of measures should be implemented. Documentation of expert judgement and statistical uncertainty in pollution budgets and water quality modelling, combined with Monte Carlo simulation and Bayesian belief networks, make it possible to give a probabilistic interpretation of “at risk”. Combined with information on abatement costs, a cost-effective ranking of measures based on expected costs and effect can be undertaken. Combined with economic valuation of water quality, the definition of “disproportionate cost” of abatement measures compared to benefits of achieving “good status” can also be given a probabilistic interpretation. Explicit modelling of uncertainty helps visualize where research and consulting efforts are most critical for reducing uncertainty. Based on data from the Morsa catchment in South-Eastern Norway, this paper discusses the relative merits of using Bayesian belief networks when integrating biophysical modelling results in the benefit-cost analysis of derogations and cost-effectiveness ranking of abatement measures under the WFD.


2021 ◽  
Vol 187 ◽  
pp. 107088
Author(s):  
Ruth García-Jiménez ◽  
Zebensui Morales-Reyes ◽  
Juan M. Pérez-García ◽  
Antoni Margalida
Keyword(s):  

2021 ◽  
Vol 80 (11) ◽  
Author(s):  
Sana Akhtar ◽  
Sarah Dar ◽  
Sajid Rashid Ahmad ◽  
Syed Ghulam Mohayud Din Hashmi

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