scholarly journals U.S. CARBON TAX SCENARIOS AND BIOENERGY

2018 ◽  
Vol 09 (01) ◽  
pp. 1840010 ◽  
Author(s):  
RONALD D. SANDS

This paper documents application of the Future Agricultural Resources Model (FARM) to stylized carbon tax scenarios specified by the Stanford Energy Modeling Forum (EMF). Model results show that the method of tax revenue recycling makes a difference. Either labor-tax, or capital-tax, recycling can reduce the welfare cost of a carbon tax policy relative to lump sum recycling. Of the two tax recycling options, reducing capital taxes provides the greater reduction in welfare costs. However, carbon tax revenues decline with stringent carbon dioxide (CO2) emission targets and the availability of a negative-emissions technology such as bio-electricity with CO2 capture and storage (BECCS). As BECCS expands, net carbon tax revenues peak and decline due to an offsetting subsidy for carbon sequestration, limiting the potential for labor- or capital-tax recycling to reduce welfare costs of a climate policy.

2018 ◽  
Vol 09 (01) ◽  
pp. 1840013 ◽  
Author(s):  
DALE W. JORGENSON ◽  
RICHARD J. GOETTLE ◽  
MUN S. HO ◽  
PETER J. WILCOXEN

For EMF 32, we applied a new version of our Intertemporal General Equilibrium Model (IGEM) based on the North American Industry Classification System (NAICS). We simulated the impacts arising from the Energy Modeling Forum’s broad range of carbon taxes under three revenue recycling options — lump sum redistributions, capital tax reductions, and labor tax cuts. We examined their consequences for industry prices and quantities, for the overall economy, and for the welfare of households, individuals, and society, the latter in terms of efficiency and equity. We rank recycling mechanisms from most to least favorable in terms of the magnitudes of their impacts on net social welfare — efficiency net of equity — recognizing that other objectives may be more important to policy makers and the public. Finally, we and the EMF 32 effort focus only on the economic effects of carbon taxation and revenue recycling; the environmental benefits arising from emissions reductions are not within our scope of study. We find CO2 emissions abatement to be invariant to the chosen recycling scheme. This means that policy makers need not compromise their environmental objectives when designing carbon tax swap options. We also find additional emissions reductions beyond the scope of coverage and points of taxation. Reducing capital taxes promotes new saving, investment and capital formation and is the most favorable recycling mechanism. In 2010 dollars, the welfare loss per ton abated ranges from $0.19 to $3.90 depending on the path of carbon prices. Reducing labor taxes promotes consumption and work through real-wage incentives and is the next most favorable recycling scheme. Here, the welfare loss per ton abated ranges from $11.09 to $16.49 depending on the carbon tax trajectory. Lump sum redistribution of carbon tax revenues is the least favorable recycling option. It incentivizes neither capital nor labor. Consequently, the damages to the economy and welfare are the greatest among the three schemes. With lump sum recycling, the welfare loss per ton abated ranges from $37.15 to $43.61 as carbon taxation becomes more aggressive. While this ranking is common among the participating EMF 32 models, the spread in our results is the greatest in comparison which we attribute to the substitution possibilities inherent in IGEM’s econometrics, the absence of barriers to factor mobility, and likely differences in the manner in which tax incentives are structured. We find welfare gains are possible under capital and labor tax recycling when emissions accounting is viewed from a top-down rather than a bottom-up perspective and carbon pricing is at an economy-wide average. However, these gains occur at the expense of abatement. We find capital tax recycling to be regressive while labor tax recycling is progressive as is redistribution through lump sums. Moreover, we find that the lump sum mechanism provides the best means for sheltering the poorest from the welfare consequences of carbon taxation. Thus, promoting capital formation is the best use of carbon tax revenues in terms of reducing the magnitudes of welfare losses while the lump sum and labor tax options are the best uses for reducing inequality.


2018 ◽  
Vol 09 (01) ◽  
pp. 1840014 ◽  
Author(s):  
VIPIN ARORA ◽  
DAVID DANIELS ◽  
IAN MEAD ◽  
RUSSELL TARVER

We show results from the National Energy Modeling System generated during the Energy Modeling Forum 32 study — focusing on macroeconomic responses to different methods of recycling carbon tax revenue. We find that recycling such revenue directly to consumers in the form of lump sum payments results in smaller negative GDP impacts than using the revenues to reduce business taxes.


2017 ◽  
Vol 28 (3) ◽  
pp. 12 ◽  
Author(s):  
Harald Winkler

How much can poverty be reduced through carbon tax revenue? This study analyses specific programmes, with carbon taxes generating revenues and equivalent spending on programmes to reduce energy poverty. The twin challenges of development and climate change could be addressed in this way in South Africa. A simple spreadsheet model was used to estimate revenue available from a carbon tax, given different tax rates and emission projections. Four programmes to reduce energy poverty were quantified: electrification, extended free basic energy, scaling-up sustainable housing, and subsidising rooftop solar for poor households. Matching carbon revenue with equivalent expenditure, the study found that applying all carbon revenue to a single programme could fund the national budget for electrification. Hundreds of thousands, and up to tens of millions, of households could receive free energy in the form of 5 kg of liquefied petroleum gas every month, as well as better houses that are warmer in winter and with fewer health impacts from indoor air pollution. Carbon revenues could fund at least a few hundred thousand improved homes, or subsidies for at least 100 000 rooftop solar systems per year to poor households. Institutional and other constraints would have to be addressed. Carbon revenue could fully fund all four programmes combined into an integrated strategy, in three of the four scenarios. The results suggested that full funding could be available from 2019 or from 2025, dependent on carbon tax revenue scenario. Energy poverty can be reduced by expenditure of carbon tax revenues.


2015 ◽  
Vol 06 (03) ◽  
pp. 1550012 ◽  
Author(s):  
DISNA SAJEEWANI ◽  
MAHINDA SIRIWARDANA ◽  
JUDITH MCNEILL

The Australian Government introduced a carbon tax from 1 July 2012. The then opposition party leader, now Prime Minister, introduced legislation to repeal the tax. Amongst the many issues being debated is that of the incidence of the tax. In this study, we explore household consumption and income changes arising from a A$23 carbon price employing a computable general equilibrium model (entitled A3E-G). The model has been calibrated using a social accounting matrix database of Australia with 10 household income groups. This carbon price generates A$6.39 billion revenue while reducing Australia's carbon emissions by 11%. The empirical evidence suggests household level impacts range from proportional to mildly progressive tax incidence. In this study, we propose four revenue recycling options to overcome any undesirable distributional effects from the carbon price. Results indicate that revenue recycling through income tax reductions and uniform lump sum transfers improves post tax income levels and welfare towards middle and high income groups. A nonuniform lump sum transferring option favors low income households. Uniform reductions in commodity tax rates are not found to be welfare improving but we find positive impacts on export competitiveness from this option.


2018 ◽  
Vol 09 (01) ◽  
pp. 1840001 ◽  
Author(s):  
ALLEN A. FAWCETT ◽  
JAMES R. MCFARLAND ◽  
ADELE C. MORRIS ◽  
JOHN P. WEYANT

This paper is an introduction to, “The EMF 32 Study on U.S. Carbon Tax Scenarios,” part of the Stanford Energy Modeling Forum (EMF) Model Inter-comparison Project (MIP) number 32. Eleven modeling teams participated in this study examining the economic and environmental impacts of various carbon tax trajectories and differing uses of carbon tax revenues. This special issue of Climate Change Economics documents the results of this study with four cross-cutting papers that summarize results across models, and ten papers from individual modeling teams.


2020 ◽  
Vol 12 (4) ◽  
pp. 1530 ◽  
Author(s):  
Chun-Chiang Feng ◽  
Kuei-Feng Chang ◽  
Jin-Xu Lin ◽  
Shih-Mo Lin

Environmental issues have become more important worldwide. A carbon tax is a strong tool for cutting carbon emissions directly through the internalization of the external costs of pollution. To mitigate the impact of carbon taxation, it is necessary to recycle the tax revenue into other taxes, subsidies, and transfers. In Taiwan, carbon tax policy has been under consideration. To analyze the effect of carbon tax and tax revenue recycling, this paper adopts a recursive dynamic computable general equilibrium (CGE) model—General Equilibrium Model for Energy, Environment, and Technology (GEMEET)—under a comprehensive economic systems framework. The results show that a suitable recycling mechanism is a key factor for the success of green tax reform for a significant improvement in the economy, environment, and in income distribution, simultaneously.


Author(s):  
Florian Landis

Abstract Swiss targets for climate policy require significant reductions of emissions by 2050. While such reductions can be achieved in a cost-efficient manner by employing taxes on greenhouse gas emissions, such taxes tend to lead to a regressive distribution of policy cost among households. To counteract such a regressive outcome, tax revenue may be recycled in a progressive way. This paper uses a computable general equilibrium model coupled with a microsimulation of household income and expenditure to examine the policy cost of different carbon tax policies and their distribution across households. I find that in the absence of revenue recycling, emission taxation leads to a regressive distribution of policy cost. I analyze different revenue recycling schemes (per-capita lump-sum transfers, reductions in labor taxation, and reductions in VAT taxation of necessary commodities) and their ability to avoid regressive outcomes.


2018 ◽  
Vol 09 (01) ◽  
pp. 1840007 ◽  
Author(s):  
SEBASTIAN RAUSCH ◽  
HIDEMICHI YONEZAWA

We examine the lifetime incidence and intergenerational distributional effects of an economy-wide carbon tax swap using a numerical dynamic general equilibrium model with overlapping generations of the U.S. economy. We highlight various fundamental choices in policy design including (1) the level of the initial carbon tax, (2) the growth rate of the carbon tax trajectory of over time, and (3) alternative ways for revenue recycling. Without revenue recycling, we find that generations born before the tax is introduced experience smaller welfare losses, or even gain, relative to future generations. For sufficiently low growth rates of the tax trajectory, the impacts for distant future generations decrease over time. For future generations born after the introduction of the tax, the negative welfare impacts are the smallest (largest) when revenues are recycled through lowering pre-existing capital income taxes (through per-capita lump-sum rebates). For generations born before the tax is introduced, we find that lump-sum rebates favor very old generations and labor (capital) income tax recycling favors very young generations (generations of intermediate age).


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