Assessing the co-benefits of CO2 mitigation on air pollutants emissions from road vehicles

Takeshita, Takayuki

doi:10.1016/j.apenergy.2011.12.029

Cited by 84 publications

(37 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some of these studies use an integrated environmental assessment model or sector-specific analysis to investigate the co-benefit of climate change policy and regional air pollution control policy. (Syri et al, 2001;Alcamo et al, 2002;Mayerhofer et al, 2002;van Vuuren et al, 2006;Takeshita, 2012) More recently, a few researchers have begun to study these co-benefits in China. Zhang et al (2015) combine the energy conservation supply curves and the GAINS model to study the co-benefit in China's cement industry.…”

Section: Policy Choice Analysismentioning

confidence: 99%

“Lock-in” effect of emission standard and its impact on the choice of market based instruments

Qian

Tang

2017

Energy Economics

View full text Add to dashboard Cite

Abstract:A country's existing emission standard policy will lead to a "lock in" effect. When the country plans to adopt new market-based instruments to control greenhouse gas emissions, it must consider this effect as it chooses among instruments to avoid larger efficiency loss. In this paper, we find that the "lock in" effect will cause a kink point to occur on the marginal abatement cost (MAC) curve. This change of shape for the MAC curve reminds us to be cautious in choosing market-based instruments when applying Weitzman's rule. We also introduce this concept into a dynamic multi-regional computable general equilibrium (CGE) model for China and simulate MAC curves for all regions. After applying Weitzman's rule, we propose a timeline for introducing price instruments under different marginal benefit (MB) curve scenarios.

show abstract

Section: Policy Choice Analysismentioning

confidence: 99%

“Lock-in” effect of emission standard and its impact on the choice of market based instruments

Qian

Tang

2017

Energy Economics

View full text Add to dashboard Cite

show abstract

“…air pollution, social welfare, resource efficiency, energy security, macroeconomic performance (e.g. Dong et al [28],Takeshita [29]and Zhang et al on air pollution [30], Xi et al [31]on environmental benefits, Dai et al [32]on economic benefits and Li & Lin, [33] on productivity benefits). These studies are generally case studies of a single country or a single impact and do not address methodological issues related to the difficulties of systematically assessing or integrating MIs.…”

Section: Limited Use Of Multiple Impacts In the Assessment Of Energy mentioning

confidence: 99%

“…Number of traffic-related injuries and deaths due to modal shift in passenger transport to low(er) carbon intensity modes Baseline level of modal split in the studied locality and the "safety in numbers" effect [75][76][77]; differences between short-term and longterm risks and effects [78], general transport/city infrastructure, local traffic, vehicle operation and transport safety regulations [76,78]; existence of pedestrian and cycling-friendly infrastructure [79], age of a person switching the transportation mode [80], cultural and behavioural norms in relation to cycling [77]. Avoided damage to human health, ecosystems and materials due to reduced air pollution emissions Technological and fuel mix, geographic and climatic conditions, atmospheric transport, distribution of receptors and pollution sources, baseline air pollution concentrations, atmospheric chemistry, variation in receptor sensitivity, height of emission stack, air pollution control technologies [81][82][83], energy prices [30] , GDP, industrial structure [28], developed vs. developing country context [29] Transaction costs Type and size of technologies, regulatory frameworks, complexity of transactions, and the maturity of policy instruments reducing transaction costs [84] …”

Section: Baseline Additionality and Context Dependencymentioning

confidence: 99%

Measuring multiple impacts of low-carbon energy options in a green economy context

Ürge-Vorsatz¹,

Kelemen²,

Herrero

et al. 2016

Applied Energy

View full text Add to dashboard Cite

Wuppertal Institut | 1 AbstractThe economic assessment of low-carbon energy options is the primary step towards the design of policy portfolios to foster the green energy economy. However, today these assessments often fall short of including important determinants of the overall cost-benefit balance of such options by not including indirect costs and benefits, even though these can be gamechanging. This is often due to the lack of adequate methodologies.The purpose of this paper is to provide a comprehensive account of the key methodological challenges to the assessment of the multiple impacts of energy options, and an initial menu of potential solutions to address these challenges.The paper first provides evidence for the importance of the multiple impacts of energy actions in the assessment of low-carbon options.The paper identifies a few key challenges to the evaluation of the co-impacts of low-carbon options and demonstrates that these are more complex for co-impacts than for the direct ones. Such challenges include several layers of additionality, high-context dependency, and accounting for distributional effects.The paper continues by identifying the key challenges to the aggregation of multiple impacts including the risks of overcounting while taking into account the multitude of interactions among the various co-impacts. The paper proposes an analytical framework that can help address these and frame a systematic assessment of the multiple impacts.

show abstract

“…Road vehicles accounted for 22.5 and 21.2% of total global nitrogen oxides (NOx) and particulate matter (PM) emissions respectively in 2000 (Borken, et al, 2007;Takeshita, 2012). Vehicular pollution is caused due to tail-pipe exhaust emission depending on changes in driving condition, engine condition, and fuel composition in air/fuel ratio.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Gaseous and Particulate Air Pollutants near Major Highways in Abeokuta, Nigeria

Olayinka¹,

Adedeji²,

Ajibola³

2016

Journal of Applied Sciences and Environmental Management

View full text Add to dashboard Cite

High traffic volume and traffic congestion on Nigerian roads have led to increase in the concentration of pollutants in the air t posing health risks for human population. This study investigates air quality due to vehicular emissions in some busy roads in Abeokuta metropolis, Nigeria. Air pollutants such as CO, CO 2 , NO, NO 2 , SO 2 , H 2 S) and suspended particulate matter (SPM) were determined using an active sampler for both dry and wet seasons. The results shows concentration of CO in the urban air ranging from 1.58 -8.50 ppm during the dry season and 1.22 -25.75 ppm for wet season, while CO 2 ranges from 11800 -26900 ppm for dry season and 9200 -26700 ppm in wet season. NO ranged from 0.04 -2.60 ppm for dry season and 0.02 -0.66 ppm for wet season while NO 2 ranged from 0.09 -3.40 ppm in dry season and 0.04 -1.12 ppm in the wet season. SO 2 ranged between 0.06 -2.18 ppm in dry season compared to 0.05 -0.82 ppm in wet season. SPM varies between 51.00 -642.25 ppm in dry season and 29.50 -170.75 ppm in wet season. High concentrations of CO 2 , NO, NO 2 , SO2, H 2 S and SPM were obtained during the dry season compared to the wet season and can be attributed to vehicular emissions due high traffic volume on the roads. The concentrations of pollutants examined were above the World Health Organization (WHO) limits at all the sites. © JASEM http://dx.doi.org/10.4314/jasem.v19i4.23

show abstract

Assessing the co-benefits of CO2 mitigation on air pollutants emissions from road vehicles

Cited by 84 publications

References 45 publications

“Lock-in” effect of emission standard and its impact on the choice of market based instruments

“Lock-in” effect of emission standard and its impact on the choice of market based instruments

Measuring multiple impacts of low-carbon energy options in a green economy context

Monitoring Gaseous and Particulate Air Pollutants near Major Highways in Abeokuta, Nigeria

Contact Info

Product

Resources

About