The potential of implementing a toxicity tax for heavily polluting vehicles in the United Arab Emirates

Author:

Taleb Hanan M.

Abstract

Purpose The purpose of this study is to investigate the potential of implementing a toxicity tax for heavily polluting vehicles in United Arab Emirates. A fast-changing world needs responsive policies to cope with the crisis human beings are currently facing on earth. Implementing a new policy represents a design for a change. Policies come in the form of regulations that have been officially agreed and chosen by either a political party, business or any other type of organization. This paper adopts the policy development cycle in the Australian policy handbook as a practical framework. A focus group comprising 35 participants and two decision makers thoroughly discussed each stage of the “policy development cycle”. A qualitative analysis of the data showed that there is potential for implementing a new tax to be imposed on highly polluting vehicles in United Arab Emirates (UAE) the most appropriate policy instrument in UAE is a policy enacted through restricted law; it might take more than 3 years to work; the expected tax would range between $280 and $1,100 per year; and there is concern that this new tax would slow Dubai’s preparation for EXPO 2020. These findings will help countries implement this new tax. Following the stages of the policy development cycle and their procedures will, therefore, inspire decision makers to formulate new environmental policies not only in UAE but around the world. Design/methodology/approach This research adopts the use of “focus groups” as its primary approach to data collection. A focus group is a common qualitative research technique and involves a small number of participants. The main reason for using qualitative research is because participants are asked for open-ended responses that convey their thoughts or feelings. The author of this paper served as the moderator who posed a series of questions intended to gain insight into the group’s views on the implementation of a toxicity tax for heavy polluting vehicles in the UAE. Time and attention were given to what it is that you expect to get out of focus-group research. The group was invited for one full day to a big hall and was seated around one table. The group was sometimes divided to obtain more focused views. Overall, four primary groups participated in this study. A fifth group, consisting of three senior members of a governmental agency who acted as decision makers, took part in one-to-one interviews at their place of work. Table I provides details on the backgrounds of the participant. Findings Research highlights the policy development cycle to investigate a new transport policy in UAE. A focus group comprising 35 participants and two interviews with two decision makers. There is potential for a tax to be imposed on highly polluting vehicles in UAE. The expected tax would range between $280 and $1,100 per year. The best policy instrument in the region is policy by law. The truck industry will be affected, and there will be a public refusal. Research limitations/implications A new policy of implementing tax for high polluting vehicles was, therefore, discussed in this paper. Participants thought the tax would work, but an in-depth feasibility study on both microeconomic and macroeconomic aspects will be required; providing governmental incentives will help support the shift to less-polluting vehicles. Practical implications The policy development cycle was utilized as a practical framework for this research. Social implications People were engaged into this study to make the policy viable. People will react positively to this policy. Originality/value Due to the lack of such research in this area, this paper will fill a gap in the knowledge. Moreover, the policy will be real implementation based on this publication. The findings will not only help UAE but also many countries that share same environmental and social contexts.

Publisher

Emerald

Subject

Information Systems and Management,Computer Science Applications,Public Administration

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