A modeling framework for the estimation of optimal CO2 emission taxes for private transport

Almodóvar, M.; Angulo, Eusebio; Espinosa, J.L.; García-Ródenas, Ricardo

doi:10.1016/j.sbspro.2011.08.077

Cited by 11 publications

(5 citation statements)

References 10 publications

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“…Naguemey et al [17][18][19] presented a multimodal traffic network equilibrium model with emission pollution permits and paradoxes on the road network with zero emission links. Almodóvar et al [20] presented to mitigate traffic congestion in the form of optimal CO2 emission taxes for private transport. Li et al [21] proposed environmentally sustainable toll design for congested road networks with uncertain demand.…”

Section: Introductionmentioning

confidence: 99%

Research on Urban Road Congestion Pricing Strategy Considering Carbon Dioxide Emissions

et al. 2015

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Congestion pricing strategy has been recognized as an effective countermeasure in the practical field of urban traffic congestion mitigation. In this paper, a bi-level programming model considering carbon dioxide emission is proposed to mitigate traffic congestion and reduce carbon dioxide emissions. The objective function of the upper level model is to minimize the sum of travel costs and the carbon dioxide emissions costs. The lower level is a multi-modal transportation network equilibrium model. To solve the model, the method of successive averages (MSA) and the shuffled frog leaping algorithm (SFLA) are introduced. The proposed method and algorithm are tested through the numerical example. The results show that the proposed congestion pricing strategy can mitigate traffic congestion and reduce carbon emissions effectively.

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Section: Introductionmentioning

confidence: 99%

Research on Urban Road Congestion Pricing Strategy Considering Carbon Dioxide Emissions

et al. 2015

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“…In summary, when vehicle emissions exceed the established standards, its owner is expected to pay for the emission cost, which necessitates fixing the price for a single unit of emission [76].…”

Section: Walls and Hansonmentioning

confidence: 99%

The Optimal Progressive Tax Policy to Reduced Vehicles Externalities

Al-Rawi

Imlus

Yusup

et al. 2018

Journal of Asian Scientific Research

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Vehicle externalities Driving or usage taxes Ownership taxes Purchase or acquisition taxes Progressive emission tax Optimal tax policy Although much of the emphasis in taxation studies relates to a particular type of tax, the contribution of this paper by try to combine different taxes in one tax, whereby it was widely agreed that a mixture of the different taxes is regarded an ideal to reduced vehicle emissions. The study used existing empirical literature to prove that the taxes on vehicles alone are not sufficient to reduce vehicles externalities or short-term effects of these taxes, therefore there is need to impose a tax on emission source strongly due to the fact that many contemporary scholars proposed to taxation based on the actual emissions test, and car types/engines. The approach of the study was shown in the diagram which used to design a proposed progressive tax system which consists of a mix of different taxes. Therefore, the current study will add to the current literature, by provides background and details on taxes on vehicles and its operations. The aim will be to comment on them in terms of design and effectiveness in reducing emissions. 1. BACKGROUND The motor vehicle externalities have increased over time and there is more effective measures are required for their reduction [1]. There was increased interest in the world in taxing vehicle characteristics to protect the environment. But, the implementation of these taxes remains also somewhat ambiguous in literature, due to weaknesses such as not considering environmental aspects of transport in their road taxes or the minor elements of such tax role [2]. Therefore, such studies have not considered the taxes on the vehicles to be sufficient to reduce externalities in the long run. For instance, the researchers Beck, et al. [3] and Nel and Nienaber [4] have revealed that "the taxes on passenger vehicles may not be the most effective way of reducing externalities and one instrument alone is not sufficient to achieve the South Africa environmental goals" [4]. On the other hand, regulations of emissions from motor vehicles are mostly reliant on the traditional "command and control" approaches, with a new car tailpipe emissions standards being the majority approach. However, it has been criticized as being inflexible, poorly targeted, incompatible with motorist"s incentives, and ultimately too expensive to be effective [5]. Therefore, several economic incentives were proposed as alternatives. One that is particularly promising is to come up with a system where vehicle owners pay fees based on their respective levels of annual emissions [5]. Because this can achieve a reduction in the negative externalities [6] and

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“…Tarancón Morán and Del Río González [23] proposed an input-output methodology to analyze the structural factors affecting the land-transport CO 2 emissions in Europe. The third method is system optimization and is commonly used to forecast the demand of energy consumption and CO 2 emissions [24,25] in analyzing the policy effect of transport CO 2 emissions reduction [26]. The fourth method is econometric estimation techniques.…”

Section: Introductionmentioning

confidence: 99%

Spatial Characteristics and Influencing Factors of Carbon Emissions from Energy Consumption in China’s Transport Sector: An Empirical Analysis Based on Provincial Panel Data

Zhi-min¹,

Wu²,

Li³

2019

Pol. J. Environ. Stud.

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This paper examines the CO 2 emissions from energy consumption in China's transport sector, conducting an empirical investigation into the spatial distribution characteristics and influencing factors of transport CO 2 emissions. This study, which is based on province-level panel data covering the 30 provincial regions during the period 2001-2016, used the methods of exploratory spatial data analysis (ESDA) and the extended STIRPAT model (examined by the method of system-generalized method of moments (Sys-GMM) regression). The results indicated that the amount of CO 2 emissions in China's transport sector has increased steadily during the observation period, but there was a noticeable disparity across the provinces and regions. From the perspective of spatial dimension, the spatial agglomeration characteristics of provincial transport CO 2 emissions tended to be strengthened, and the pattern evolutions of spatial distribution presented a path-dependence effect to some extent. The scale of population was found to be the most important influencing factor of transport CO 2 emissions, and followed by the per-capita GDP. Further, the improvement of energy efficiency was the key factor to controlling transport CO 2 emissions. Compared to freight transportation, passenger transportation was more important in transport CO 2 emissions reduction due to its lower efficiency of energy utilization and rapid growth. Meanwhile, electrification played an important inhibitory effect on transport CO 2 emissions because of its high fuel efficiency and less pollution. Importantly, we could not support the existence of the environmental Kuznets curve (EKC) hypothesis in China's transport sector during the observation period, which describes the relationship between the environmental pressures and economic development. These findings contain some meaningful implications for policy makers: confirm the priority transport CO 2 emissions reduction areas, improve transport energy

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A modeling framework for the estimation of optimal CO2 emission taxes for private transport

Cited by 11 publications

References 10 publications

Research on Urban Road Congestion Pricing Strategy Considering Carbon Dioxide Emissions

Research on Urban Road Congestion Pricing Strategy Considering Carbon Dioxide Emissions

The Optimal Progressive Tax Policy to Reduced Vehicles Externalities

Spatial Characteristics and Influencing Factors of Carbon Emissions from Energy Consumption in China’s Transport Sector: An Empirical Analysis Based on Provincial Panel Data

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