South Africa is
ranked among the top 20 countries in absolute carbon dioxide emissions globally
(National
Treasury, 2013: 19) with 83% of emissions emanating from
the energy and energy consumption sectors (Department
of Environmental Affairs, 2014).
The high carbon intensity (tons CO2e/R1000) of the economy
has been due to the abundance of coal reserves with resulting cheap coal
intensive electricity, leading to the establishment of the energy intensive
mining and metals sectors as drivers of the economy (Alton et
al., 2012).
The escalating carbon emissions of this
business-as-usual (BAU) scenario and resulting carbon intensity of the economy
is untenable and in contrast to the national development goals of government
which includes sustainable development and environmental health.
In 2009 the
South African government voluntarily ratified the COP 15 accord to reduce
emissions to below baseline levels. The
aim is to reduce GHG levels by 34% by 2020 and 42% by 2025 (National
Treasury, 2013: 21) dependent on financial, technological
and capacity building support from developed countries. The resulting National Climate Change
Response Policy (NCCRP) is the government’s response (Department
of Environmental Affairs, 2014) to climate change and offers a
strategic approach to mitigation and adaptation actions, institutional
arrangements as well as monitoring and evaluation of the mitigation actions (Boyd et
al., 2011: 18).
As part of the National Appropriate Mitigation Actions (NAMAs) for South
Africa, is a carbon budgeting approach to identify mitigation measures for
large emitters and a carbon tax to internalise climate change externalities by
pricing carbon. The carbon budget
approach puts an absolute limit on the carbon dioxide emitted by applying a
constraint on emissions nationally and per sector (Department
of Energy (DoE), 2013: 31) whereas the carbon price approach is an
intervention by government to correct the current market failure of excluding the
environmental and social externalities caused by GHG emissions. (National
Treasury, 2013: 58).
The carbon pricing and budgeting mechanism, together with other
regulatory measures aims to influence producer and consumer behaviour which is
intended to incentivise the investment in low carbon technologies and the
transition to a low carbon economy (National
Treasury, 2013: 46).
The price set on
a ton of CO2e is based on fossil fuel inputs and will start with a
nominal rate of R120 with a 10% increase each year for the first 5 years (National
Treasury, 2014: 5) with the possibility of the
introduction of an ETS in 2025 (National
Treasury, 2013: 35).
The effective rate will depend on the tax thresholds, industry sector
allowances, graduated relief for trade exposed sectors and the availability of
carbon offsets (National
Treasury, 2013: 10). It is proposed that the revenue from
the carbon tax be recycled through tax shifting to provide relief for poor
households and support social and environmental programmes.
However, does
this price on carbon result in the maximum net social benefit balanced with the
marginal costs? In other words, is the
carbon tax rate efficient? Historically a
price has not been set on the environmental and social externality of climate
change for goods and services in South Africa.
Prices have been determined purely according to the market equilibrium
of supply and demand. Therefore the
inclusion of the climate change externality will alter the market equilibrium
of this classic supply and demand curve to a more efficient equilibrium (Chapter 3: The theory of environmental externalities, n.d.).
However, given the phased approach of the carbon tax with all the tax
free thresholds and allowances, it is unlikely that the effective rate
represents the ‘new’ market equilibrium accurately. National treasury (2013, 46) also state that
currently the proposed carbon tax does not reflect the true marginal external
damage cost but will be adjusted over time as the global climate agreement
matures.
To give another
perspective on carbon pricing, research done by Ackerman
and Stanton (2012) to determine the actual ‘social cost of
carbon’ (SCC), which is the damage per metric ton of carbon equivalent (tCO2e),
results in costs much higher than the $21 per ton tCO2e estimated by
the US Federal Interagency Working Group.
The cost of $21 per t tCO2e for 2010 in 2007
dollars determined by climate economic models excluded the biggest risks
associated with climate change and underplayed the effects on future
generations according to the authors.
This price is equivalent to R80,22 (PPP in 2007 $) (“PPP
conversion factor, GDP (LCU per international $) | Data”, n.d.).
For the South African carbon tax rate proposed by National Treasury in
2014, the high initial thresholds mean that the effective rate of between R12
and R48/ tCO2e emitted is even lower than the $21/ tCO2e
estimated by the Working Group in 2010.
What Ackerman and Stanton (2012) found is that by re-analysing the
models and including the four major uncertainties of climate sensitivity, level
of damages at high and low temperatures and a discount rate they found that the
SCC is approximately $900/ tCO2e in 2010 and $1500/ tCO2e
in 2050. The 2010 figure equates to
approximately R4000/ tCO2e (PPP for 2010 $), which again validates
the economic inefficiency of the South African carbon price according to global
studies.
Taking into
consideration the current design of the South African carbon tax there have
been a few studies conducted to determine the impact of the tax on emissions
and socio-economic conditions. The Long
Term Mitigation Scenarios (LTMS) was the first study to determine the impact of
a carbon tax on emissions and socio-economic development using Computable
General Equilibrium (CGE) models (Merven
et al., 2014: 7).
It found the carbon tax to be the best mitigating option with reductions
of 12 287 Mt from 2003 to 2050 and an additional 5 000 Mt from economic
incentives. The socio-economic
implications of a carbon tax (Merven
et al., 2014: 7; Pauw, 2007; Kearney, 2008) resulted in a slight reduction in the
GDP by 2% and job creation for semi-skilled workers in 2015. There was also a negative impact on poor
households which could be offset by revenue recycling. Other studies conducted by the University of
Pretoria, National Treasury and the World Bank on the macro-economic impacts (Merven
et al., 2014: 7) from 2006 to 2012 found similar results
with impacts on GDP being neutral provided that revenue recycling takes
place. However the main limitation in
all of these studies was the use of static CGE models which did not take into
account the market response to higher energy prices.
Research by the
National Treasury and the United Nations University – World Institute for
Development Economics Research (UNU-WIDER) in 2012 used a South African CGE
model linked to the Energy Extended South African General Equilibrium model (e-SAGE). Results indicated that the impact on
emissions were substantial with negligible impact on GDP, employment and income
inequality. It pointed out that if
international trading partners introduce a border tax adjustment (BTA) on South
African products this will have a larger negative impact on the social-economic
landscape than a domestic carbon tax (Alton et
al., 2012: 19).
Limitations included the model not being linked to an optimising energy
model and the exclusion of the social cost of carbon.
The most up to
date study was done by the ERC at the University of Cape Town as part of the
Mitigation Action Plans and Scenarios (MAPS) programme using a linked model
between the South African TIMES model (SATIM) and the (e-SAGE) (Merven
et al., 2014: 8).
The linking of the two models allowed energy supply and demand to be
endogenised in order to determine the socio-economic implications of a carbon
tax and renewable energy programmes.
With regards to the current carbon tax design, it found that it only
reduced emissions by 5% by 2040 relative to the reference or BAU case. GDP was 0.7% less and there were 2.6% fewer
jobs than in the 2040 reference case.
The sensitivity of the carbon price was tested by increasing the amount
in $10 increments up to $50/ tCO2e.
It was found that there was a tipping point between $10 and $20/ tCO2e
from 5% at $10 to a 50% reduction in carbon emissions at $20. This indicates that the tax will be most
effective at a rate of between R54 to R107/ tCO2e (PPP in 2014 $) in
curbing emissions. However, the effect
on GDP is a drop of between 0.7 - 3.2% and new job creation will decrease by 2.2
– 5.7%.
In conclusion
it was found that the carbon tax rate is inefficient with the effective price
not taking into account the negative externalities of climate change. This was confirmed by comparing the South
African carbon tax effective rate of R12 – R48/ tCO2e to international
research costings of between R80 – R4000/ tCO2e for 2010. These findings are applicable to the South
African context as climate change is a global commons space. With regards to the implications of a carbon
tax on emissions and socio-economic development, the latest research found that
the carbon tax is most effective in reducing emissions at an effective rate of
between R54 – R107/ tCO2e.
The resultant reduction in GDP and new job creation can be offset by
recycling the revenues to households ensuring social welfare is not negatively
affected.
References
Ackerman, F. & Stanton, E.A. 2012. Climate Risks and Carbon Prices:
Revising the Social Cost of Carbon. Open-Assessment E-Journal.
6:2012–10. DOI: 10.5018/economics-ejournal.ja.2012-10.
Alton, T., Arndt, C., Davies, R., Hartley,
F., Makrelov, K., Thurlow, J. & Ubogu, D. 2012. The Economic Implications
of Introducing Carbon Taxes in South Africa.
Boyd, A., Rennkamp, B., Winkler, H.,
Larmour, R., Letete, T., Rahlao, S. & Trikam, A. 2011. South African
approaches to measuring, reporting and verifying: A scoping report.
Chapter 3: The theory of environmental
externalities. n.d.
Department of Energy (DoE). 2013. Integrated
Resource Plan for Electricity (IRP) 2030.
Department of Environmental Affairs. 2014.
South Africa’s Greenhouse Gas (GHG) Mitigation Potential Analysis.
Pretoria.
Merven, B., Moyo, A., Stone, A., Dane, A.
& Winkler, H. 2014. Socio-economic implications of mitigation in the power
sector including carbon taxes in South Africa. (September). Available: http://www.erc.uct.ac.za/Research/publications/14-Merven-etal-Socioeconomic_implications.pdf.
National Treasury. 2013. Carbon Tax
Policy Paper.
National Treasury. 2014. Carbon Offsets
Paper.
PPP conversion factor, GDP (LCU
per international $) | Data. n.d.
Available: http://data.worldbank.org/indicator/PA.NUS.PPP?locations=ZA.