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Fuel Taxes and Carbon Leakage: Evidence from a Natural Experiment on Cross-border Fuel Sales
Abstract
We report a natural experiment on the border between Spain and
Portugal, in which we analyze the potential effects of carbon pricing
instruments on fuel tourism and the associated risk of carbon leakage.
We exploit a fuel tax increase in Portugal to identify and quantify its
effect on fuel sales in the Spanish border regions. Our results from
applying a difference-in-difference strategy and a synthetic control
methodology robustly show that while cross-border tax changes do not
affect gasoline sales they have a significant impact on diesel sales,
increasing the latter on average by 10% in the border provinces.
Synthetic control estimates further show that this effect is mainly driven
by routes carrying the highest volumes of heavy-duty vehicles. This
novel differential effect by fuel type is attributable to the massive tanks
of heavy goods vehicles that run on diesel. We estimate a carbon
leakage equivalent to 29% of Portugal’s annual mitigation commitment
for road transport emissions. The central contribution and policy
implication of this paper, which might equally be transferred to other
developed countries of a federal or quasi-federal nature, is that fuel
tourism driven by heavy goods vehicles confounds the potential
mitigation effects and revenue gains of climate policy.
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We investigated the impact of cigarette price differences across the European Union (EU) on cross-border tobacco purchasing because of cheaper price among current cigarette smokers.
Individual-level tobacco-related data (including cross-border tobacco purchasing behavior) were from the Special Eurobarometer 385 (V.77.1), a cross-sectional survey of persons aged ≥15 years from 27 EU Member States during 2012. Country-specific weighted average prices (WAP) per 1000 cigarettes (as of 1 July 2012) were obtained from the European Commission, and divided by 50 to yield WAP per cigarette pack. The dispersion in EU cigarette prices was measured with the coefficient of variation. Multivariate logistic regression was applied to measure the relationship between EU-wide cigarette price differential and cross-border tobacco purchasing because of cheaper price among current cigarette smokers (n=6896).
The coefficient of variation for cigarette WAP within the EU was 0.39 (mean price=€3.99/pack). Of all current cigarette smokers in the EU, 26.2% (27.5 million persons) engaged in a cross-border tobacco purchase within the past 12 months, of which 56.3% did so because of cheaper price in another country. EU-wide cigarette price differential was significantly associated with making a cross-border tobacco purchase because of cheaper price (adjusted OR=1.34; 95% CI 1.22 to 1.47).
Reducing differences in cigarette tax and price within the EU, coupled with a stricter limitation on the quantity of cigarettes that it is possible to carry from one Member State to another, may help reduce cross-border tax avoidance strategies.
Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
This paper uses micro-data on cigarette consumption from four waves of the CPS Tobacco Supplement to estimate cigarette demand models that incorporate the decision of whether to smuggle cigarettes across a state or Native American Reservation border. I find demand elasticities with respect to the home state price are indistinguishable from zero on average and vary significantly with the distance individuals live to a lower-price border. However, when smuggling incentives are eradicated, the price elasticity is negative, though still inelastic. I also estimate cross-border sales cause a modest increase in consumption, and between 13 and 25 percent of consumers purchase cigarettes in border localities in the CPS sample. The central implication of this study is, while cigarette taxes are ineffective at achieving the goals for which they were levied in many states, there are significant potential gains from price increases that are confounded by cross-border sales.
Building on an idea in Abadie and Gardeazabal (2003), this article investigates the application of synthetic control methods to comparative case studies. We discuss the advantages of these methods and apply them to study the effects of Proposition 99, a large-scale tobacco control program that California implemented in 1988. We demonstrate that following Proposition 99 tobacco consumption fell markedly in California relative to a comparable synthetic control region. We estimate that by the year 2000 annual per-capita cigarette sales in California were about 26 packs lower than what they would have been in the absence of Proposition 99. Given that many policy interventions and events of interest in social sciences take place at an aggregate level (countries, regions, cities, etc.) and affect a small number of aggregate units, the potential applicability of synthetic control methods to comparative case studies is very large, especially in situations where traditional regression methods are not appropriate. The methods proposed in this article produce informative inference regardless of the number of available comparison units, the number of available time periods, and whether the data are individual (micro) or aggregate (macro). Software to compute the estimators proposed in this article is available at the authors' web-pages.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
We exploit variation in gasoline and cigarettes taxes in adjacent political jurisdictions for northern Illinois and Indiana to examine consumers' trade-off between prices and travel. We develop a model that relates activity in the retail gasoline industry around the tax borders to consumer locations. Our results indicate that the willingness of a typical Chicagoland consumer to travel an additional mile to buy gasoline corresponds to about 0.084 per gallon. According to our estimates, the observed area of Chicago, the jurisdiction with the highest taxes, is missing approximately 40% of the capacity that would exist were taxes equalized. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
We conduct an empirical study of the impact of consumer price-search on the shifting of cigarette excise taxes to consumer prices. We use novel data on the prices smokers report actually paying for cigarettes. We document substantial price dispersion. We find that cigarette taxes are shifted at lower rates to the prices paid by consumers who undertake more price search – carton buyers, and especially, smokers who buy cartons of cigarettes in a state other than their state of residence. We also find suggestive evidence that taxes are shifted at slightly higher rates to the prices paid by non-daily smokers, less addicted smokers, and smokers of light cigarettes.
This paper proposes tools for robust inference in difference-in-differences and event-study designs where the parallel trends assumption may be violated. Instead of requiring that parallel trends holds exactly, we impose restrictions on how different the post-treatment violations of parallel trends can be from the pre-treatment differences in trends (“pre-trends”). The causal parameter of interest is partially identified under these restrictions. We introduce two approaches that guarantee uniformly valid inference under the imposed restrictions, and we derive novel results showing that they have desirable power properties in our context. We illustrate how economic knowledge can inform the restrictions on the possible violations of parallel trends in two economic applications. We also highlight how our approach can be used to conduct sensitivity analyses showing what causal conclusions can be drawn under various restrictions on the possible violations of the parallel trends assumption.
This paper discusses two important limitations of the common practice of testing for preexisting differences in trends (“ pre-trends”) when using difference-in-differences and related methods. First, conventional pre-trends tests may have low power. Second, conditioning the analysis on the result of a pretest can distort estimation and inference, potentially exacerbating the bias of point estimates and under-coverage of confidence intervals. I analyze these issues both in theory and in simulations calibrated to a survey of recent papers in leading economics journals, which suggest that these limitations are important in practice. I conclude with practical recommendations for mitigating these issues. (JEL A14, C23, C51)
We exploit three major transport fuel (gasoline and diesel) subsidy reforms in Iran, as quasi-experiments, to investigate the impact of permanent upward price changes on the responsiveness of fuel consumption. We employ monthly regional-level data of fuel consumption in Iran and also explicitly account for outbound cross-border smuggling from Iran to estimate the short, intermediate, and long-term price elasticity of demand. We find that price elasticity and price levels are inversely related to each other. All of our estimations also suggest a substantial impact of subsidy reforms on consumers’ behavior such that the magnitude of price elasticities consistently increases after each of the three major reforms. Finally, we find that fuel consumption is more responsive to a change in domestic price in the longer run. Our paper provides quantitative evidence of behavior change after a subsidy reform program, which can be used to better set fiscal and environmental targets.
We present a new estimator for causal effects with panel data that builds on insights behind the widely used difference-in-differences and synthetic control methods. Relative to these methods we find, both theoretically and empirically, that this “synthetic difference-in-differences” estimator has desirable robustness properties, and that it performs well in settings where the conventional estimators are commonly used in practice. We study the asymptotic behavior of the estimator when the systematic part of the outcome model includes latent unit factors interacted with latent time factors, and we present conditions for consistency and asymptotic normality. (JEL C23, H25, H71, I18, L66)
Probably because of their interpretability and transparent nature, synthetic controls have become widely applied in empirical research in economics and the social sciences. This article aims to provide practical guidance to researchers employing synthetic control methods. The article starts with an overview and an introduction to synthetic control estimation. The main sections discuss the advantages of the synthetic control framework as a research design, and describe the settings where synthetic controls provide reliable estimates and those where they may fail. The article closes with a discussion of recent extensions, related methods, and avenues for future research. (JEL B41, C32, C54, E23, F15, O47)
The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit in panel data settings. The “synthetic control” is a weighted average of control units that balances the treated unit’s pre-treatment outcomes and other covariates as closely as possible. A critical feature of the original proposal is to use SCM only when the fit on pre-treatment outcomes is excellent. We propose Augmented SCM as an extension of SCM to settings where such pre-treatment fit is infeasible. Analogous to bias correction for inexact matching, Augmented SCM uses an outcome model to estimate the bias due to imperfect pre-treatment fit and then de-biases the original SCM estimate. Our main proposal, which uses ridge regression as the outcome model, directly controls pre-treatment fit while minimizing extrapolation from the convex hull. This estimator can also be expressed as a solution to a modified synthetic controls problem that allows negative weights on some donor units. We bound the estimation error of this approach under different data generating processes, including a linear factor model, and show how regularization helps to avoid over-fitting to noise. We demonstrate gains from Augmented SCM with extensive simulation studies and apply this framework to estimate the impact of the 2012 Kansas tax cuts on economic growth. We implement the proposed method in the new augsynth R package.
This quasi-experimental study is the first to find a significant causal effect of carbon taxes on emissions, empirically analyzing the implementation of a carbon tax and a value-added tax on transport fuel in Sweden. After implementation, carbon dioxide emissions from transport declined almost 11 percent, with the largest share due to the carbon tax alone, relative to a synthetic control unit constructed from a comparable group of OECD countries. Furthermore, the carbon tax elasticity of demand for gasoline is three times larger than the price elasticity. Policy evaluations of carbon taxes, using price elasticities to simulate emission reductions, may thus significantly underestimate their true effect. (JEL H23, L91, Q54, Q58)
Fiscal externalities across jurisdictions can arise from tax evasion and avoidance. While the tax competition literature has generally focused on base shifting and the resulting positive fiscal externalities, we show theoretically and empirically that negative fiscal externalities can dominate when the tax base is apportioned across jurisdictions. This can lead to a negative relationship between jurisdiction size and the desired tax rate. Interstate truckers in the United States owe state diesel taxes based on diesel consumption, which is apportioned based on the miles driven in each state. We find that own-state diesel sales fall when the diesel tax rates of other states rise, suggesting that tax base evasion is the predominant source of externalities. We then estimate a tax reaction specification, finding that the own-state tax rate is negatively correlated with the tax rates set in other states and with state size, both consistent with the sign of the estimated fiscal externality.
We consider the economics and the design of border adjustments (BAs) under a carbon tax. BAs under a carbon tax are taxes on imports and rebates on exports, based on the emissions from the production of a good. They are thought to be a method of reducing inefficiencies from a unilateral carbon price, such as shifts in the location of production, known as leakage. After examining the basic economics of BAs, we examine three design issues: which goods BAs should apply to, which emissions from the production of those goods should be taxed, and from and to which countries BAs should apply. We conclude that BAs will impose high administrative costs and need stronger welfare justifications.
British Columbia’s carbon tax was introduced in 2008 and reached its current level of $30 per tonne of carbon dioxide in 2012. Per-capita gasoline demand in B.C. Has decreased by about 15% between 2007 and 2014. Is this decline attributable to BC’s carbon tax and other fuel taxes? This paper assesses the empirical evidence and finds that higher taxes reduce gasoline consumption over time. We also find evidence of carbon leakage, particularly during the 2010-14 period of high cross-border travel due to the strong Canadian Dollar. While the intensive margin of adjustment (car use) may be subject to highly volatile gasoline prices and exchange rates, the extensive margin of adjustment (car purchases) is also influenced by increasing taxes. We find conclusive evidence that higher fuel taxes and BC’s carbon tax are shifting car purchases towards higher fuel efficiency. A counterfactual simulation suggests that without BC’s carbon tax fuel demand per capita would be 7% higher, and the average vehicle’s fuel efficiency would be 4% lower.
Unilateral climate policy induces carbon leakage through the relocation of emission-intensive and trade-exposed industries to regions without emission regulation. Previous studies suggest that emission pricing combined with border carbon adjustment is a second-best instrument, and more cost-effective than output-based rebating. We show that the combination of output-based rebating and a consumption tax for emission-intensive and trade-exposed goods can be equivalent with border carbon adjustment. Moreover, it is welfare improving for a region that implements emission pricing along with output-based rebating to introduce such a consumption tax. The welfare gain is particularly large if output-based rebating is already implemented for a sector that is not much exposed to leakage, e.g., due to uncertainty about exposure or due to lobbying activities. Thus, supplementing output-based rebating with a consumption tax constitutes robust policies to mitigate carbon leakage.
We use Nielsen Homescan data to examine who bears the economic burden of cigarette taxes. We find cigarette taxes are less than fully passed through to consumer prices, suggesting consumers and producers split the excess burden of these taxes. Using information on consumer location, we show the availability of lower-tax goods across state borders creates significant differences in the passthrough rate. Tax avoidance opportunities also have a sizable effect on purchasing behavior by altering consumer search, prices paid and quantities purchased. Finally, we demonstrate that the incidence of cigarette taxes and the border effect varies by household income and education.
This paper explores the issue of ‘fuel tourism’ in Switzerland. For the period 1985–1997, a panel data model for the border regions of Switzerland, (Italy, France, and Germany) is estimated. The results show a significant impact of the gasoline price differential on demand, suggesting that a decrease of 10% in the Swiss gasoline price leads to an increase in demand in the border areas of nearly 17.5%. It is shown that fuel tourism accounted for about 9% of overall gasoline sales in the three regions during the period 1985–1997 and that the recently proposed Swiss CO2-tax might, given current conditions, eliminate net fuel tourism.
This article investigates the economic effects of conflict, using the terrorist conflict in the Basque Country as a case study. We find that, after the outbreak of terrorism in the late 1960's, per capita GDP in the Basque Country declined about 10 percentage points relative to a synthetic control region without terrorism. In addition, we use the 1998-1999 truce as a natural experiment. We find that stocks of firms with a significant part of their business in the Basque Country showed a positive relative performance when truce became credible, and a negative relative performance at the end of the cease-fire.
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