WELFARE EFFECTS OF DISTORTIONARY FRINGE BENEFITS TAXATION: THE CASE OF EMPLOYER‐PROVIDED CARS*

In Europe, many employees receive company cars as fringe benefits induced by taxation. We analyze the welfare effects of company car taxation for the Netherlands by estimating to what extent car expenditure and private car travel change when employees receive a company car. Tax treatment of company cars generates an annual welfare loss, ranging from €600 to €780 per company car, mainly due to a shift toward more expensive cars (from €420 to €600), but also due to increased private travel (€180). For the whole of Europe, the annual welfare loss is about €12 billion.     

Distortionary company car taxation: deadweight losses through increased car ownership

We analyse the effects of distortionary company car taxation through increased household car consumption for the Netherlands. We use several identification strategies and demonstrate that for about 20 % of households company car possession increases car ownership. The annual welfare loss of distortionary company taxation through increased car ownership is generally rather small, maximally €120 per company car, and much less than the welfare loss through increased expenditure on the company car. However, for policies that exempt households from paying tax on their company car, the annual deadweight loss is likely higher. Our first-best tax policy recommendation is to increase company car tax rates. However, our current results suggest that a second-best policy, which keeps average company car taxation constant but which reduces the marginal tax on cheaper cars and increases the marginal tax on expensive cars, would be welfare improving as overconsumption of company cars will be reduced.     

中国电动汽车技术演进分析：行动者网络视角

从专利、车型和销量着手，将中国电动汽车发展进程大体划分为3个阶段，即纯电动汽车阶段、混合动力汽车和燃料电池汽车同步发展中纯、电动汽车和混合动力汽车竞相发展阶段、以纯电动汽车为主导的发展阶段。每一阶段行动者网络不同，关键行动者也不尽相同。基于行动者网络理论对中国电动汽车技术创新演进过程进行研究，得到以下结论：①中国电动汽车技术创新行动者网络主体和结构的改变影响着电动汽车相关技术创新的选择与发展；②非人类行动者在电动汽车技术创新演进过程中发挥着重要作用；③中国电动汽车技术创新演进是不同时期行动者网络成员共同作用的结果。     

英国氢流动路线图解读

英国政府2012年1月推出了"氢流动"项目,2013年2月发布了该项目第一阶段执行情况报告概要,进一步推出英国氢燃料电池汽车产业发展的路线图,对如何把英国打造成制造与使用燃料电池电动汽车(FCEVs)及支持性基础设施的全球首批重要的国家之一进行了规划。氢流动路线图涉及的主要内容有:适时调研和把握消费者对FCEVs的需求,合理规划和运作加氢基础设施,确定一种有效的组合生产方法以有效降低CO_2排放量等。通过对该路线图的内容及出台背景进行解读和分析,希望能为国内跟踪和研究国际燃料电池汽车最新发展动态的部门提供参考和借鉴。     

基于消费者视角的电动汽车全寿命周期成本模型及分析

本文以全寿命周期成本理论为基础,从消费者角度对电动汽车全寿命周期内的成本进行了全面分析,建立了电动汽车的全寿命周期成本模型,为电动汽车的保有成本估算提供了方法依据。同时,将电动汽车与燃油汽车就成本进行了比较分析。结论表明,电动汽车的全寿命周期成本远低于燃油汽车,在同等条件下理性消费者会更倾向于选择电动汽车。     

Foresight in innovation policy: Shared visions for a science park and business–university links in a city region

Many car manufacturers recognize fuel cell vehicles as future substitutes for conventional cars with internal combustion engines. According to press releases and brochures, different strategic approaches of the automobile companies to fuel cell technology can be identified. These strategies match to a high degree the market entry strategies known from strategic marketing literature. A system dynamics model that reflects the beginning innovation process and the strategic approaches of a pioneer (first to market), an early follower (early to market) and a late follower (late to market) has been built. It examines the future prospects of the car manufacturers’ strategies in three different scenarios, which illuminate possible future developments of external influences like politics or fuel infrastructure.     

Innovation Process 'Fuel Cell Vehicle': What Strategy Promises to be Most Successful?

Many car manufacturers recognize fuel cell vehicles as future substitutes for conventional cars with internal combustion engines. According to press releases and brochures, different strategic approaches of the automobile companies to fuel cell technology can be identified. These strategies match to a high degree the market entry strategies known from strategic marketing literature. A system dynamics model that reflects the beginning innovation process and the strategic approaches of a pioneer (first to market), an early follower (early to market) and a late follower (late to market) has been built. It examines the future prospects of the car manufacturers' strategies in three different scenarios, which illuminate possible future developments of external influences like politics or fuel infrastructure.     

Applying engineering and fleet detail to represent passenger vehicle transport in a computable general equilibrium model

A well-known challenge in computable general equilibrium (CGE) models is to maintain correspondence between the forecasted economic and physical quantities over time. Maintaining such a correspondence is necessary to understand how economic forecasts reflect, and are constrained by, relationships within the underlying physical system. This work develops a method for projecting global demand for passenger vehicle transport, retaining supplemental physical accounting for vehicle stock, fuel use, and greenhouse gas (GHG) emissions. This method is implemented in the MIT Emissions Prediction and Policy Analysis Version 5 (EPPA5) model and includes several advances over previous approaches. First, the relationship between per-capita income and demand for passenger vehicle transport services (in vehicle-miles traveled, or VMT) is based on econometric estimates and modeled using quasi-homothetic preferences. Second, the passenger vehicle transport sector is structured to capture opportunities to reduce fleet-level gasoline use through the application of vehicle efficiency or alternative fuel vehicle technologies, introduction of alternative fuels, or reduction in demand for VMT. Third, alternative fuel vehicles (AFVs) are represented in the EPPA model. Fixed costs as well as learning effects that could influence the rate of AFV introduction are captured explicitly. This model development lays the foundation for assessing policies that differentiate based on vehicle age and efficiency, alter the relative prices of fuels, or focus on promoting specific advanced vehicle or fuel technologies.     

电动汽车的全寿命周期环境影响分析

本文以全寿命周期理论为基础,对电动汽车在全寿命周期过程内对环境造成的影响进行了全面分析,并将电动汽车与燃油汽车对环境造成的影响进行比较。结果表明,电动汽车在全寿命周期过程内对环境造成的污染小于内燃汽车,在可持续发展的理念下,政府应大力推动电动汽车产业的发展。     

电动汽车3E评价与协调发展探析

电动汽车相对于传统的燃油汽车而言,具有显著的节能减排效果,其发展已成为各方关注的焦点。本文通过评价电动汽车对经济、能源、环境3E体系的影响,揭示了经济、能源、环境三位一体在电动汽车发展中的内在规律与联系,以追求3E系统整体效益最大化为原则和目的,提出了电动汽车的3E协调发展建议。     

A multi-level perspective on the introduction of hydrogen and battery-electric vehicles

Alternative vehicles powered by electricity or hydrogen hold the potential to solve a number of challenges that relate to automobile use, such as climate change, deterioration of local air quality, security of energy supply, and high fuel prices. This article addresses the question as to how a transition to vehicles powered by hydrogen or electricity could take place. Recognizing that transitions result from joint development of technology and society, a co-evolutionary, multi-level perspective is adopted. The perspective is used to analyze the dynamics of the relationship between car manufacturers and consumers and developments that put pressure on this relationship. Building on the analysis, two sets of scenarios for a transition to battery-electric and fuel cell vehicles are identified. In one set of scenarios, tightening emissions regulation stimulates carmakers to scale up experiments with alternative vehicles, moving them into the commercialization phase. In the other set, rising fuel prices prompt carmakers to first extend their current product line-up with plug-in versions, and later with battery-electric and fuel cell vehicles. The two scenarios have different implications for the actors involved and for the requisite supporting infrastructure.     

Do High Oil Prices Matter? Evidence on the Mobility Behavior of German Households

Focusing on travel survey data from Germany, this paper investigates the determinants of automobile travel, with the specific aim of quantifying the effects of fuel prices and fuel economy. The analysis is predicated on the notion that car mileage is a two-stage decision process, comprising the discrete choice of whether to own a car and the continuous choice of distance traveled. To capture this process, we employ censored regression models consisting of Probit and OLS estimators, which allows us to gauge the extent to which sample selectivity may bias the results. Our elasticity estimates indicate a significant positive association between increased fuel economy and increased driving, and a significantly negative fuel-price elasticity, which ranges between − 35% and − 41%. Taken together, these results suggest that fuel taxes are likely to be a more effective policy measure in reducing emissions than fuel-efficiency standards.      

Evaluating the economy embedded in the Brazilian ethanol–gasoline flex-fuel car: a Real Options approach

The introduction of the flex-fuel cars in the Brazilian market in 2003 changed considerably the consumer decision-making process. Prior to this date, it was necessary to choose the automobile type only by gasoline or by ethanol fuel; today it is possible to choose a car type with both fuel options. This flexibility generates economic advantages for his owner, but what are the financial benefits of a flex-fuel car in comparison with a car using only gasoline? Geographically, where is the owner of the benefits from this flexibility located? This article presents an empirical application of the Real Options Theory in the analysis of the flex-fuel car option for five geographic Brazilian regions: Northern, Northeastern, Central-Western, Southeastern and Southern. The regional price differences as well as the consumer preferences of these regions were met. For this purpose, historical fuel prices were considered stochastic and following a Mean Reverting Stochastic process. The prediction and option values were generated by a Monte Carlo simulation. The results indicated that the option embedded on the Brazilian flex-fuel car adds considerable value to the owner in all regions and car models considered, with the Southeastern Region receiving most benefits by the flex option.     

Travel patterns and the potential use of electric cars – Results from a direct survey in six European countries

A significant penetration of electrical drive vehicles (EDVs) in the fleet is possible only if their use is compatible with mobility patterns of individuals. Building on the analysis of car mobility patterns by means of web-based car trips diaries filled in by a sample of individuals in six European countries, this paper provides insights on how EDVs could fit mobility habits. Critical aspects related to driving behaviour, which should be considered to allow the penetration of electric cars in the market, are identified. Among others results, we show that average daily driven distance in 6 countries ranges from an average of 40 km (UK) to an average of 80 km (Poland) and the parking time after the last trip of a day amounts to more than 16 h per day. These findings show that the current drive and parking behaviours are in line with the range limitation of current EDVs and the potential need for a full slow recharge of an average EDV battery. Our results are a starting point for the estimation on energy demand profiles to assess how electrical energy supply can meet demand under the assumptions of a wide market share of EDVs.     

Vehicle choices, miles driven, and pollution policies

Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure.     

Trends in energy consumption and carbon dioxide emissions of passenger cars and buses

In this work we develop aggregate car ownership and bus fleet models in order to forecast and compare fuel consumption and CO₂ emissions from passenger cars and buses. Greece was selected as a case study, being a country fairly representative of lower-income Mediterranean and Eastern European countries and data were collected for the period 1970 to 2002. Percent adults in the population, per capita gross domestic product, inflation, unemployment, car occupancy and bus kilometers were predictors included in the car ownership and bus fleet multiple regression models. A shift in the overall trend of both models around 1995 was explained as a slope change of per capita gross domestic product, possibly reflecting the impact of a boom of the Greek Stock Market along with a retirement program for older vehicles. Predictor variables were forecast via Box-Jenkins and the models were subsequently used to develop car ownership and bus fleet forecasts to the year 2010. We predict that the contribution of cars to total CO₂ emissions will rise to an astounding 95% of total CO₂ emissions from road passenger transport (excluding taxis and mopeds), an effect expected in other Mediterranean and Eastern European countries with socioeconomic characteristics similar to Greece. Suggestions for further research include developing regional car ownership forecasts in order to compare the dynamics of different regions within a country and looking into other land transportation means (such as mopeds, taxicabs and railway).     

The impact of the corporate average fuel economy standards on technological changes in automobile fuel efficiency

This paper empirically examines the effect of the U.S. Corporate Average Fuel Economy (CAFE) standards on the technological progress in automobile fuel efficiency. Using detailed vehicle attributes data from 1978 through 2018, we find that more stringent fuel economy standards increase the rate of technological improvements in new passenger cars, and this effect is primarily driven by the response of U.S. automakers. We do not find evidence that CAFE standards have a similar effect on the technical change in light-duty trucks. Our results also indicate that higher gasoline prices have a significant and positive effect on the improvement of fuel-saving technology in both passenger cars and light trucks. Using our empirical estimates, we project that the recent rollback of Obama-era CAFE standards would forego an approximately 2-percent increase in cars’ fuel economy over the 2021–2025 period as a result of technological progress.     

新技术进步会阻碍传统技术创新吗——来自汽车产业的实证检验

在新旧技术竞争过程中,传统企业会适时调整研发策略,以应对新技术进步对传统技术造成的冲击。然而,新技术对传统技术的影响究竟表现为创新替代效应还是创新互补效应,至今依然没有得到确切结论。以汽车产业为研究对象,比较传统燃油汽车和电动汽车两种新旧技术的发展路径,并结合产业生命周期理论提出汽车产业的三阶段演化模型。进一步基于1995—2021年省级专利数据和面板向量自回归模型,从产品创新和工艺创新两个维度实证检验各阶段电动汽车技术进步对传统汽车企业创新的影响。结果表明,在电动汽车产业的范式导入期(1995—2008年),新技术通过产品创新和工艺创新两方面促进传统技术发展;在电动汽车产业的范式构建期(2009—2021年),新技术依然对传统技术有显著推动作用,但仅通过工艺创新促进传统技术发展。     

Willingness to pay for electric vehicles and their attributes

This article presents a stated preference study of electric vehicle choice using data from a national survey. We used a choice experiment wherein 3029 respondents were asked to choose between their preferred gasoline vehicle and two electric versions of that preferred vehicle. We estimated a latent class random utility model and used the results to estimate the willingness to pay for five electric vehicle attributes: driving range, charging time, fuel cost saving, pollution reduction, and performance. Driving range, fuel cost savings, and charging time led in importance to respondents. Individuals were willing to pay (wtp) from $35 to $75 for a mile of added driving range, with incremental wtp per mile decreasing at higher distances. They were willing to pay from $425 to $3250 per hour reduction in charging time (for a 50 mile charge). Respondents capitalized about 5 years of fuel saving into the purchase price of an electric vehicle. We simulated our model over a range of electric vehicle configurations and found that people with the highest values for electric vehicles were willing to pay a premium above their wtp for a gasoline vehicle that ranged from $6000 to $16,000 for electric vehicles with the most desirable attributes. At the same time, our results suggest that battery cost must drop significantly before electric vehicles will find a mass market without subsidy.