188.8.131.52 The Distributional Effects of Mitigation
A policy that leads to an efficiency gain may not improve overall welfare if
some people are in a worse position than before, and vice versa. Notably, if
there is a wish to reduce the income differences in a society, the effect on
the income distribution should be taken into account in the assessment.
An evaluation of the distributional incidence of higher energy prices is significantly
conditional upon the indicator used. Distributional impacts appear to be higher
when additional costs are measured in terms of percentage of total household
expenditures rather than income, and higher if current income is considered
instead of lifetime income. Lifetime income is relevant in the sense that households
can borrow or save, and also move between different income classes. According
to Poterba (1991), a person had only a 41% chance of being in the same quintile
of income distribution in 1971 and in 1978. This percentage rises to 54% if
the person initially belongs to the poorest quintile. However, current income
is relevant to studies on the short-term intergeneration impact of a new tax.
For example, an elderly person is more adversely affected by new taxes on expenditures
than are those on an income, even if subsequent generations pay the same lifetime
tax bill under each factor influencing the macroeconomy.
International competition limits the ability of firms to pass the tax onto
prices, thus reducing the size of the indirect distributional effect. In the
same way, the degree of production factor substitution determines the extent
to which the tax changes prices. Moreover, as the substitution is generally
supposed to be limited in the short term, but increasing as existing plants
are replaced, the distributional effect of an environmental tax changes over
time. Last, but not least, the distributional effect depends basically on the
utilization of the tax revenue.
Two British studies looked at distributional effects of climate policies. Barker
and Johnstone (1993) investigated the distributional effects of a carbonenergy
tax. Revenues are recycled through an energy efficiency programme and compared
to lump-sum transfers. The results show that the burden of a carbonenergy
tax falls most heavily on low-income groups. At the same time, for these low-income
groups the potential gains to be realized by increasing energy efficiency are
higher to offset this regressive outcome. Symons et al. (1994) investigated
other various assumptions of revenue recycling for the UK, and found that to
introduce a carbon tax without recycling or with recycling through VAT or petrol
excise-duty reductions is significantly regressive. Conversely, recycling the
carbon tax by a combination of VAT rate reductions and benefits reforms directed
towards poorer households results in favourable distributive effects.
The conclusion is similar for other countries. For Ireland, ODonoghue
(1997) found that carbon taxation is generally regressive, but that recycling
the carbon tax through a fixed basic income for all individuals allows the distributional
effects to become almost neutral. For Norway, Brendemoen and Vennemo (1994)
concluded that a global carbon tax of US$325/tC in 2000 and US$700/tC in 2025
(1987 prices) has no significant impact on the regional distribution of welfare.
For Australia, Cornwell and Creedy (1996) found that a carbon tax only affecting
households (the inputoutput matrix is constant in their model) is clearly
regressive, but can become neutral if adequate recycling is implemented. In
addition, the distributional differences across income are not affected much.
On the other hand, Aasness et al. (1996) conclude for the same country
that poor households are less favourably affected than rich households, because
of smaller budget shares on consumer goods (which imply relatively more CO2
emissions) in the rich households. Harrison and Kriström (1999) studied
the general equilibrium effects of a scenario in Sweden in which the existing
carbon taxes increase by 100% and labour taxes are reduced to maintain constant
governmental revenue, but without removing the existing exemptions from carbon
taxes. All households lose from this carbon tax (with tax exemptions) increase.
They point out that the distributional effects are very dependent on the size
of the household (the more affected being those with children). In a study for
11 EU member states, Barker and Kohler (1998) examined emission reductions of
10% below baseline by 2010. They concluded that the changes would be weakly
regressive for nearly all the member states if revenues are used to reduce employers
taxes, and strongly progressive if they are returned lump-sum to households.
In summary, most studies show that the distributional effects of a carbon tax
are regressive unless the tax revenues are used either directly or indirectly
in favour of the low-income groups (see also Poterba, 1991; Barker, 1993; Hamilton
and Cameron, 1994; OECD, 1995; Cornwell and Creedy, 1996; Oliveira Martins and
Sturn, 1998; Smith, 1998; Fortin, 1999). This undesirable effect can be totally
or partially compensated by a revenue-recycling policy if the climate policy
is implemented through carbon taxes or auctioned permits.
Three other issues of distributional effects, not dealt with here, are industry
sector impacts, regional effects, and how people are affected by environmental
damage. For instance, a tax on CO2 emissions obviously leads to very
different effects in energy-intensive industries than in sectors producing labour-intensive
services (see Chapter 9). In addition, the poor household
generally lives in the most polluted area and then benefits first from the amelioration
of air quality induced by GHG reduction policy (see Section