Richard Tol on a Global Carbon Tax

Richard Tol, one of the World’s leading economists on climate, has just had published The Structure of the Climate Debate, a paper that makes some very good comments on the gulf between optimal policy and the reality of ineffective policy backed by a great army of bureaucrats, rent-seeking politicians and environmentalists who exaggerate the issues. It is this optimal policy  – a global carbon tax to constrain warming to 2C – that I take issue with. Both economic theory and the empirical evidence contradict this.  The following is a comment posted at cliscep

Richard Tol states in his paper

Only a modest carbon tax is needed to keep atmospheric concentrations below a high target but the required tax rapidly increases with the stringency of the target. If concentrations are to be kept below 450 ppm CO2eq, the global carbon tax should reach some $210/tCO2 in 2020 or so (Tol 2013).

The 450 ppm CO2eq, would produce 2C of warming from pre-industrial levels if a doubling of CO2 on its own produces 3C of warming. The UNFCCC produced a graph for COP21 to illustrate the global emissions pathway needed to ensure 2C limit :-

Whereas even with the all the vague policy proposals fully implemented global emissions will be about 10% higher in 2030 than in 2010, the 2C pathway has emissions 10-30% lower. That means a carbon tax of $210/tCO2 (now £170) would have to turn around the global relentless rise in emissions and have them falling rapidly. I am deeply sceptical that such a global policy would achieve anything like the that difference would be achieved even with an omnipotent, omniscient, and omnipresent planner to impose the tax. The reasons for that scepticism can be found by applying the tax to real world examples.
First let us apply a £170/tCO2 carbon tax to petrol, which produces 2.30kg of CO2 per litre. With 20% VAT applied is equivalent to 47p a litre added to the retail price. (Current excise duties with VAT are equivalent to £300/tCO2, the diesel £250/tCO2). For a car doing 15000 miles at 39mpg, this would generate an additional cost to the owner of £820 per year. Maybe a 15-30% increase in the full costs of running a small car in the UK. There is plenty of empirical visence of the effect of the oil price movements in the last couple of decades (especially in the period 2004-2008 when the price increased) to show that costs increases will have a much smaller effect on demand, whereas for the carbon tax to be effective it would need to have a much greater impact than the percentage cost increase.
Second, let us apply a $210/tCO2 carbon tax to coal-fired power stations. They produce about 400kg of CO2 per megawatt, so the cost would rise by $84MWH. In China, coal-fired electricity will retail at less than $30 MwH. China would rapidly switch to nuclear power. Even so, its power generation emissions might not start falling for at least a decade. Alternatively it might switch to gas, where the carbon tax would be half that of coal.
However, there is another lesson from oil prices, this time over the last three years. A small fall in demand leads to large falls in price, in the short term. That is the market responds by offsetting the cost of the global carbon tax. To use terms of basic economics the demand for fossil fuels is highly inelastic with respect to changes in price, and the supply of fossil fuels in the short term is highly inelastic to changes in demand.  Emissions reductions policies have not just turned out to be pretty useless in practice, they are pretty useless in theory (with real world political constraints removed) as well.

Kevin Marshall


CO2 Emissions from Energy production forecast to be rising beyond 2040 despite COP21 Paris Agreement

Last week the US Energy Information Administration (EIA) published their INTERNATIONAL ENERGY OUTLOOK 2016. The Daily Caller (and the GWPF) highlighted the EIA’s summary energy energy production. This shows that the despite the predicted strong growth in nuclear power and implausibly high growth in renewables, usage of fossil fuels are also predicted to rise, as shown in their headline graphic below.

For policy purposes, the important aspect is the translation into CO2 emissions. In the final Chapter 9. Energy-related CO2 Emissions figure 9.3 shows the equivalent CO2 Emissions in billions of tonnes of CO2. I have reproduced the graphic as a stacked bar chart.

Data reproduced as a stacked bar chart.

In 2010 these CO2 emissions are just under two-thirds of total global greenhouse gas emissions. The question is how does this fit into the policy requirements to avoid 2°C from the IPCC’s Fifth Assessment Report? The International Energy Authority summarized the requirements very succicently in World Energy Outlook 2015 Special Report page 18

The long lifetime of greenhouse gases means that it is the cumulative build-up in the atmosphere that matters most. In its latest report, the Intergovernmental Panel on Climate Change (IPCC) estimated that to preserve a 50% chance of limiting global warming to 2 °C, the world can support a maximum carbon dioxide (CO2) emissions “budget” of 3 000 gigatonnes (Gt) (the mid-point in a range of 2 900 Gt to 3 200 Gt) (IPCC, 2014), of which an estimated 1 970 Gt had already been emitted before 2014. Accounting for CO2 emissions from industrial processes and land use, land-use change and forestry over the rest of the 21st century leaves the energy sector with a carbon budget of 980 Gt (the midpoint in a range of 880 Gt to 1 180 Gt) from the start of 2014 onwards.

From the forecast above, cumulative CO2 emissions from 2014 with reach 980 Gt in 2038. Yet in 2040, there is no sign of peak emissions.

Further corroboration comes from the UNFCCC. In preparation for the COP21 from all the country policy proposals they produced a snappily titled Synthesis report on the aggregate effect of intended nationally determined contributions. The UNFCCC have updated the graphics since. Figure 2 of 27 Apr 2016 shows the total GHG emissions, which were about 17 Gt higher than the CO2 emissions from energy emissions in 2010.

The graphic clearly shows that the INDCs – many with very vague and non-verifiable targets – will make very little difference to the non-policy emissions path. Yet even this small impact is contingent on those submissions being implemented in full, which is unlikely in many countries. The 2°C target requires global emissions to peak in 2016 and then head downwards. There are no additional policies even being tabled to achieve this, except possibly by some noisy, but inconsequential, activist groups. Returning to the EIA’s report, figure 9.4 splits the CO2 emissions between the OECD and non-OECD countries.

The OECD countries represent nearly all countries who propose to reduce their CO2 emissions on the baseline 1990 level, but their emissions are forecast by the EIA still to be 19% higher in 2040. However, the increase is small compared to the non-OECD countries – who mostly are either proposing to constrain emissions growth or have no emissions policy proposals – with emissions forecast to treble in fifty years. As a result the global forecast is for CO2 emissions to double. Even if all the OECD countries completely eliminate CO2 emissions by 2040, global emissions will still be a third higher than in 1990. As the rapid economic growth in the former Third World reduces global income inequalities, it is also reducing the inequalities in fossil fuel consumption in energy production. This will continue beyond 2040 when the OECD with a sixth of the world population will still produce a third of global CO2 emissions.

Unless the major emerging economies peak their emissions in the next few years, then reduce the emissions rapidly thereafter, the emissions target allegedly representing 2°C or less of global warming by 2100 will not be met. But for countries like India, Vietnam, Indonesia, Bangladesh, Nigeria, and Ethiopia to do so, with the consequent impact on economic growth, is morally indefensible.

Kevin Marshall


Climate Interactive’s Bogus INDC Forecast


Joe Romm wrote a post in early November claiming UNFCCC Executive Secretary Christiana Figueres had misled the public in claiming that the “INDCs have the capability of limiting the forecast temperature rise to around 2.7 degrees Celsius by 2100”. Using Climate Interactive’s figures Romm claims the correct figure is 3.5°C. That Romm had one of two sources of the 2.7°C staring at him is a side issue. The major question is how Climate Interactive can achieve a full 1.0°C reduction in expected temperature rise in 2100 and a reduction of 40% in 2100 GHG emissions from pledges covering the period 2015, when the UNFCCC estimates will have a much smaller impact in 2030? Looking at the CO2 emissions, which account for 75-80% of GHG emissions, I have found the majority answer. For OECD countries where emissions per capita have been stable or falling for decades, the “No Action” scenario forecasts that they will rise for decades. For Russia and China, where per capita emissions are likely to peak before 2030 without any policy action, the “No Action” scenario forecasts that they will rise for decades. This is largely offset by Climate Interactive assuming that both emissions and economic growth in India and Africa (where there are no real attempts to control emissions) will stagnate in the coming decades. Just by making more reasonable CO2 emissions forecasts for the OECD, Russia and China can account for half of the claimed 2100 reduction in GHG emissions from the INDC. Climate Interactive’s “No Action” scenario is bogus.


Joe Romm’s use of the Climate Interactive projection

A couple of months ago, prior to the COP21 Paris climate talks, Joe Romm at Climate Progress criticized the claim made in a press release by UNFCCC Executive Secretary Christiana Figueres:

The INDCs have the capability of limiting the forecast temperature rise to around 2.7 degrees Celsius by 2100, by no means enough but a lot lower than the estimated four, five, or more degrees of warming projected by many prior to the INDCs

Romm’s note to the media is

If countries go no further than their current global climate pledges, the earth will warm a total of 3.5°C by 2100.

At a basic level Romm should have done some proper research. As I found out, there are two sources of the claim that are tucked away at the end of a technical appendix to the UNFCCC Synthesis report on the aggregate effect of INDCs. One of these is Climate Action Tracker. On their home page they have a little thermometer which shows the 2.7°C figure. Romm would have seen this, as he refers in the text to CAT’s page on China. The significance may not have registered.

However, the purpose of this post is not to criticize Romm, but the Climate Interactive analysis that Romm uses as the basis of his analysis. Is the Climate Interactive Graph (reproduced in Figure 1) a reasonable estimate of the impact of the INDC submissions (policy pledges) on global emissions?1

Figure 1. Climate Interactive’s graph of impact of the INDC submissions to 2100

What struck me as odd when I first saw this graph was how the INDCs could make such a large impact beyond the 2015-2030 timeframe that they covered when the overall impact was fairly marginal within that timeframe. This initial impression is confirmed by the UNFCCC’s estimate of the INDCs

Figure 2. UNFCCC’s estimate of emissions impact of the INDCs, with the impact shown by the yellow bars. Original here.

There are two things that do not stack up. First is that the “No Action” scenario appears to be a fairly reasonable extrapolation of future emissions without policy. Second, and contrary to that is the first, is that the “Current INDCs” scenario does not make sense in terms of what I have read in the INDCs and is confirmed by the INDCs. To resolve this requires looking at the makeup of the “No Action” scenario. Climate Interactive usefully provide the model for others to do their own estimates,2 With the “User Reference Scenario” giving the “no action” data3, split by type of greenhouse gas and into twenty regions or countries. As about 75-80% of emissions with the model are CO2 Fossil Fuel emissions, I will just look at this area. For simplicity I have also reduced the twenty regions or countries into just seven. That is USA, Other OECD, Russia, China, India, Africa and Rest of the World. There are also lots of ways to look at the data, but some give better understanding of the data than others. Climate Interactive also have population estimates. Population changes over a long period can themselves result in changed emissions, so looking at emissions per capita gives a better sense of the reasonableness of the forecast. I have graphed the areas in figure 3 for the historical period 1970-2010 and the forecast period 2020-2100.

Figure 3 : Fossil Fuel Emissions per capita for six regions from the Climate Interactive “No Action” Scenario.

Understanding the CO2 emissions forecasts

In the USA, emissions per capita peaked at the time of 1973 oil embargo. Since then they have declined slightly. There are a number of reasons for this.

First, higher oil prices gave the economic incentives to be more efficient in usage of oil. In cars there have been massive improvements in fuel efficiency since that time. Industry has also used energy more efficiently. Second, there has been a growth in the use of nuclear power for strategic reasons more than economic. Third is that some of the most energy intensive industries have shifted to other countries, particularly steel and chemicals. Fourth, is that growth in developed countries is mostly in the service sector, whereas growth in developing countries is mostly in manufacturing. Manufacturing tends to have much higher energy usage per unit of output than services. Fifth, is that domestic energy usage is from cars and power for the home. In an emerging economy energy usage will rise rapidly as a larger proportion of the population acquire cars and full heating and lighting systems in the home. Growth is much slower once most households have these luxuries. Sixth is that in the near future emissions might continue to fall with the development of shale gas, with its lower emissions per unit of power than from coal.

I therefore cannot understand why anyone would forecast increasing emissions per capita in the near future, when they have been stable or falling in for decades. Will everyone start to switch to less efficient cars? When these forecasts were made oil was at $100 a barrel levels, and many thought peak oil was upon us. Would private sector companies abandon more efficient energy usage for less efficient and higher cost usage? The USA may abandon nuclear power and shift back to coal for political reasons. But in all forms of energy, production and distribution is likely to continue to become more efficient in all forms.

In the rest of the OECD, there are similar patterns. In Europe energy usage was never as high. In some countries without policy CO2 emissions may rise slightly. In Germany they are replacing nuclear power stations with coal for instance. But market incentives will increase energy efficiency and manufacturing will continue to shift to emerging nations. Again, there appears no reason for a steady increase in emissions per capita to increase in the future.

Russia has a slightly different recent past. Communist central planning was highly inefficient and lead to hugely inefficient energy usage. With the collapse of communism, energy usage fell dramatically. Since then emissions have been increasing, but more slowly than the economy as a whole. Emissions will peak again in a couple of decades. This will likely be at a lower level than in the USA in 1970, despite the harsher climate, as Russia will benefit from technological advances in the intervening period. There is no reason for emissions to go on increasing at such a rapid rate.4

China has recently had phenomenal growth rates. According to UN data, from 1990 to 2012, economic growth averaged 10.3% per annum and CO2 emissions 6.1%. In the not too distant future economic growth will slow as per capita income approaches rich country levels, and emissions growth will slow or peak. But the Climate Interactive forecast has total emissions only peaking in 2090. The reason for China’s and Russia’s forecast per capita emissions exceeding those of the USA is likely due to a failure to allow for population changes. In USA population is forecast to grow, whilst in China and Russia population is forecast to fall.

India has the opposite picture. In recently years economic and CO2 emissions growth has taken off. Current policies of Prime Minister Narendra Modi are to accelerate these growth rates. But in the Climate Interactive forecast growth, economic growth and CO2 emissions growth plummet in the near future. Economic growth is already wrong. I am writing on 30/12/15. To meet the growth forecast for 2010-2015, India’s GDP will need to drop by 20% in the next 24 hours.5

For the continent of Africa, there have been encouraging growth signs in the last few years, after decades when many countries saw stagnation or even shrinking economies. Climate Interative forecasts similar growth to India, but with a forecasts of rapid population growth, the emissions per capita will hardly move.

Revised CO2 emissions forecasts

It is extremely difficult and time consuming to make more accurate CO2 emissions forecasts. As a shortcut, I will look at the impact of revisions on 2100, then at the impact on the effect of the INDCs. This is laid out in Figure 4

Figure 4 : Revised Forecast CO2 Emissions from Fossil Fuels

The first three columns in pale lilac are for CO2 emissions per capita calculated, from the Climate Interactive data. In the 2100 Revised column are more realistic estimates for reasons discussed in the text. In the orange part of the table are the total forecast 2100 Climate Interactive figures for population and CO2 emissions from fossil fuels. In darker orange is the revised emissions forecast (emissions per capita multiplied by forecast population) and the impact of the revision. Overall the forecast is 10.2GtCO2e lower, as no calculation has been made for the rest of the world. To balance back requires emissions of 11.89 tonnes per capita for 2.9 billion people. As ROW includes such countries as Indonesia, Bangladesh, Iran, Vietnam, Brazil and Argentina this figure might be unreasonable 85 years from now.

The revised impact on the INDC submissions

The INDC submissions can be broken down.

The USA, EU, Japan and Australia all have varying levels of cuts to total emissions. So for the OECD as a whole I estimate Climate Interactive over estimates the impact of the INDCs by 8.4GtCO2e

The Russian INDC pledge it is unclear, but it seems to be saying that emissions will peak before 2030 at below 1990 levels6. As my revised forecast is above this level, I estimate Climate Interactive over estimates the impact of the INDCs by 3.2GtCO2e

The Chinese INDC claims pledges that its emissions will have peaked by 2030. This will have happened anyway and at around 10-12 tonnes per capita. I have therefore assumed that emissions will stay constant from 2030 to 2100 whilst the population is falling. Therefore I estimate that Climate Interactive over estimates the impact of the INDCs by 19.5GtCO2e

Overall for these areas the overestimation is around 31 GtCO2e. Instead of 63.5GtCO2e forecast for these countries for 2100 it should be nearer 32.5GtCO2e. This is about half the total 2100 reduction that Climate Interactive claims that the INDC submission will make from all types of greenhouse gases. A more rigorous forecast may have lower per capita emissions in the OECD and China. There may be other countries where similar forecast issues of CO2 emissions might apply. In addition, in note 7 I briefly look at the “No Action” CH4 emissions, the second largest greenhouse gas. There appear to be similar forecast issued there.

In summary, the make-up of the CO2 emissions “No Action” forecast is bogus. It deviates from an objective and professional forecast in a way that grossly exaggerates the impact of any actions to control GHG emissions, or even pledges that constitute nothing more than saying what would happen anyway.


  1. The conversion of a given quantity of emissions into average surface temperature changes is outside the scope of this article. Also we will assume that all policy pledges will be fully implemented.
  2. On the Home page use the menu for Tools/C-ROADS. Then on the right hand side select “Download C-ROADS”. Install the software. Run the software. Click on “Create New Run” in the centre of the screen.

    This will generate a spreadsheet “User Scenario v3 026.xls”. The figures I use are in the User Reference Scenario tab. The software version I am working from is v4.026v.071.

  3. The “User Reference Scenario” is claimed to be RCP 8.5. I may post at another time on my reconciliation between the original and the Climate Interactive versions.
  4. The forecast estimates for economic growth and emissions for Russia look quite bizarre when the 5 year percentage changes are graphed.

    I cannot see any reason for growth rates to fall to 1% p.a in the long term. But this is the situation with most others areas as well. Nor can I think of a reason for emissions growth rates to increase from 2030 to 2055, or after 2075 expect as a contrivance for consistency purposes.

  5. The forecast estimates for economic growth and emissions for India look even more bizarre than for Russia when the 5 year percentage changes are graphed.

    I am writing on 30/12/15. To meet the growth forecast for 2010-2015, India’s GDP will need to drop by 20% in the next 24 hours. From 2015 to 2030, the period of the INDC submissions, CO2 emissions are forecast to grow by 8.4%. India’s INDC submission implies GHG emissions growth from 2014 to 2030 of 90% to 100%. Beyond that India is forecast to stagnate to EU growth rates, despite being a lower to middle income country. Also, quite contrary to Russia, emissions growth rates are always lower than economic growth rates.

  6. The Russian Federation INDC states

    Limiting anthropogenic greenhouse gases in Russia to 70-75% of 1990 levels by the year 2030 might be a long-term indicator, subject to the maximum possible account of absorbing capacity of forests.

    This appears as ambiguous, but could be taken as meaning a long term maximum.

  7. CH4 (Methane) emissions per Capita

    I have quickly done a similar analysis of methane emissions per capita as in Figure 2 for CO2 emissions. The scale this time is in kilos, not tonnes.

    There are similarities

  • OECD emissions had been falling but are forecast to rise. The rise is not as great as for CO2.
  • In Russia and China emissions are forecast to rise. In Russia this is by a greater amount than for CO2, in China by a lesser amount.
  • In Africa, per capita emissions are forecast to fall slightly. Between 2010, CH4 emissions are forecast to rise 3.1 times and population by 4.3 times.
  • In both the USA and Other OECD (a composite of CI’s categories) total CH4 emissions are forecast in 2100 to be 2.778 times higher than in 2010. In both China and India total CH4 emissions are forecast in 2100 to be 2.420 times higher than in 2010.

No Global Plan from COP21 Paris to Reduce Greenhouse Gas Emissions

Headline news around the world is that a landmark global agreement has been reached.

The BBC headlines

A deal to attempt to limit the rise in global temperatures to less than 2C has been agreed at the climate change summit in Paris after two weeks of negotiations.

The Australian ABC News summarizes

Historic climate deal

  • Deal to limit global warming to “well below” 2C, aiming for 1.5C
  • Greenhouse gas emissions need to peak “as soon as possible”, followed by rapid reduction
  • Deal will eliminate use of coal, oil and gas for energy

Folha de Sao Paulo

A COP21 aprovou neste sábedo (12) em Paris o acordo que obriga pela primeira vez todos os paises signatarios da Convençāo de Clima (1992) a adotar medidas de combate ao aquecimento global.

O chamado Acordo de Paris estabelece que a temperatura global, a partir de agora, só poderá subir ate um teto de “bem menos” de 2oC, na direçāo de 1,5oC.

There is something missing – a plan to cut global greenhouse gas emissions. This is clear from reading paragraphs 17 and 21 of the Agreement.

As I started a couple of weeks ago, the INDCs are not on target for the limiting to 2oC of warming. That would require emissions to be decreasing by 2030. The follow graph from the UNFCCC Synthesis Report on the aggregate effect of the INDCs states this quite clearly.

The 55 gigatonnes forecast in yellow and the required 40 gigatonnes in 2030 are visible. The graphical summary is now recognized within the agreement. Rather than say that genuine emissions reduction plans should be forthcoming, the UNFCCC asks the UNIPCC for some more scary stories and some more modelled emissions forecasts. There is a lot of hot air, but no global plans at all to reach any 2oC target. Nor will there be any global plans in place next year when the leaders of all countries will be asked to sign this agreement.

The Los Angeles Times explains (italics mine)

What is the main goal of the deal?

The stated goal among global climate negotiators has long been to reduce emissions enough so that global temperatures rise no more than 2 degrees Celsius, or 3.6 degrees Fahrenheit, by 2100. That is the level at which scientists say the most catastrophic effects of climate change can be avoided.

That goal was not met in Paris, but few people expected it to be. The commitments that countries made will limit warming to only about 3 degrees. But the agreement includes provisions for revisiting emissions goals every five years with the intention of regularly revising them upward “to reach global peaking of greenhouse gas emissions as soon as possible.”

Now there are going to be five yearly super-summits to try to achieve the point where global emissions will start reducing.

Kevin Marshall

UNFCCC Massively Overstates Impact of INDCs on 2100 Emissions

At the end of October UNFCCC Executive Secretary Christiana Figueres was reported by the BBC as saying

The INDCs have the capability of limiting the forecast temperature rise to around 2.7C by 2100, by no means enough but a lot lower than the estimated four, five, or more degrees of warming projected by many prior to the INDCs.

In the context of the objective of limiting prospective global warming to 2C this statement gives encouraging news. Already the policy proposals are most of the way towards that objective, so a final push at COP21 in Paris is all that is required.


The analysis by the UNFCCC shows that the policy proposals contained within the INDCs will make very little difference to trends in global emissions of greenhouse gases to 2030. In the accompanying literature, the UNFCCC makes no projections of the difference the INDCs will make beyond 2030. The claim that policy will limit forecast temperature rise to the 2.7C by 2100 is claimed by two other organisations, and is only referenced in a table at the very end of a separate technical annex without any discussion or endorsement. One of these, the IEA, achieves the projection by, post 2050, replacing forecasts contingent on the policy impact of the INDCs with an average of modelled RCP emissions pathways. The RCP website explicitly states that they are not forecasts of potential emissions or climate change, whether with or without policy action. It also states that any of the differences between the pathways be directly attributed to policy differences. The IEA thus replaces real emissions forecasts with data that is unrelated to the real world. The other claim, by Climate Action Tracker, has no explicit statement of how the increasing global emissions through to 2030 start tracking downwards post 2030. Contributing factors may include understating the emissions impact of India and China, along with excluding the likely increasing emissions in the coming decades from the poorest nations.

The claim that any agreement reached in Paris based on the INDCs will constrain to global average temperature rise to 2.7C by 2100 through constraining GHG emissions is therefore unsupported by any rigorous forecast of the policy impact in the referenced documents. Such forecasts are based on making a forecast without policy, then modelling the impact policy will make, stating the assumptions. With 40,000 people attending a conference, the UNFCCC could surely have set aside a couple of million dollars to obtain such a forecast from genuine experts.

In Detail

If Christiana Figueres is correct, the INDC submissions, covering the period 2015-2030 have dramatically changed the course of prospective warming getting two-thirds of the distance between the non-policy and the target of limiting warming to two degrees. Bjorn Lomborg’s recent paper “Impact of Current Climate Proposals” published in the Global Policy journal stated

All climate policies by the US, China, the EU and the rest of the world, implemented from the early 2000s to 2030 and sustained through the century will likely reduce global temperature rise about 0.17°C in 2100. These impact estimates are robust to different calibrations of climate sensitivity, carbon cycling and different climate scenarios. Current climate policy promises will do little to stabilize the climate and their impact will be undetectable for many decades.

Having read the policy proposals on a large number of INDCs I concur with Lomborg. There is very little in the INDCs that will alter the future course of warming. So why the difference between my reading and the UNFCCC? The Executive Secretary has the World’s leading experts behind her, so there must be substantial support for the claim. The BBC article provides a link to the UNFCCC Synthesis report on the aggregate effect of INDCs. The link is to a number of documents. The main document makes no attempt to project forward the policy impacts to 2100. In fact if it did, the prognosis would be similar to Lomborg’s. The main graphic in Figure 2, also as a separate file, is shown below.

The orange is the pre-INDC pledges, the yellow the INDCs and the blues various scenarios to stay below two degrees.

To the right is two graphics for 2025 and 2030. The yellow arrow is “Reduction due to INDCs” and the blue arrow “Remaining reduction for least-cost mitigation“. For 2030 the INDCs seem to get a quarter of the way to the desired reduction. There is nothing about trends beyond 2030. The graphic could not be clearer. If the INDCs are to obtain constrain emissions consistent to the 2C of warming, the increasing trend from 2010 to 2030 would have to be rapidly turned into a decreasing trend post 2030, with global emissions reduced by half in two decades. As the non-policy trend is for about 4.5C of warming, then to obtain a 2.7C forecast requires the INDCs to collectively cause emissions to peak and then start a downward trend.

It is clear that there is no mention at all of the 2.7C of warming by 2100. No bridge of the 70 years from the period covered by the INDCs to the end of the century. What is more there is nothing in the aggregate policy contained in INDCs that would cause global emissions to first peak, then be set on a downward trend. So where is the reference?

For that you need to look in the Technical Annex section M. Summary of results from other studies. Even then the text does not mention 2100, but table 6 does.

Instead of the UNFCCC making projections to 2100 on the basis of the INDCs for themselves, they use those of others. Yet the UNFCCC should have the expertise in projecting the impact of policy. I will look at three – that of another UN organisation and the two estimating 2.7C resulting from the INDCs.

UNEP Gap Report

The link within the footnote to table 6 is to the Executive Summary of the UNEP Emissions Gap Report 2015. The proper reference should have been to all the documents related to the Gap Report found here. The Executive Summary states

Full implementation of unconditional INDC results in emission level estimates in 2030 that are most consistent with scenarios that limit global average temperature increase to below 3.5 °C until 2100 with a greater than 66 per cent chance.

There is no actual projection from the INDCs. Rather, it looks at the emissions levels and emission trends in 2030 and compares them with modelled estimates that are similar. It is these modelled estimates that produce the 3.5C of warming in 2100. There is no reconciliation between the country-by-country INDCs and the overall global emissions scenarios. Rather it is just picking estimates that seem to fit at a global level. In terms of assessing the impacts of policy it is useless, as the modelled estimates may be markedly different from a forecast based on the latest information.

International Energy Agency (IEA) World Energy Outlook 2015

The link within the footnote to table 6 is to a press release for the IEA’s World Energy Outlook 2015. The footnote d. to table 6 gives an explanation of how the 2.7C projection was arrived at. In particular is the final point

To assess the impact on global average temperature increase, we used MAGICC with an emissions pathway post-2050 in between the representative concentration pathways (RCP) 4.5 and (RCP) 6 scenarios from the IPCC’s Fifth Assessment Report as this was interpreted as representing the best available trajectory compatible with IEA’s INDC Scenario.

The RCP (“Representative Concentration Pathways”) scenarios are explained on the RCP website

RCP 4.5: … is a stabilization scenario where total radiative forcing is stabilized before 2100 by employment of a range of technologies and strategies for reducing greenhouse gas emissions.

RCP 6.0: … is a stabilization scenario where total radiative forcing is stabilized after 2100 without overshoot by employment of a range of technologies and strategies for reducing greenhouse gas emissions.

Under “Characteristics and guidance” the website states (bold mine):-

The RCPs are named according to their 2100 radiative forcing level as reported by the individual modeling teams. …….

The RCPs are not forecasts or boundaries for potential emissions, land-use, or climate change. They are also not policy prescriptive in that they were chosen for scientific purposes to represent the span of the radiative forcing literature at the time of their selection and thus facilitate the mapping of a broad climate space. They therefore do not represent specific futures with respect to climate policy action (or no action) or technological, economic, or political viability of specific future pathways or climates. …..

The RCPs are four independent pathways developed by four individual modeling groups. The socioeconomics underlying each RCP are not unique; and, the RCPs are not a set or representative of the range of potential assumptions. …. The differences between the RCPs can therefore not directly be interpreted as a result of climate policy or particular socioeconomic developments. Any differences can be attributed in part to differences between models and scenario assumptions (scientific, economic, and technological).

The IEA has therefore used a hybrid of emissions scenarios as emissions forecasts to assess the impact policy when the group producing them has specifically said that these scenarios are not directly comparable and should not be used for policy purposes. In so doing, they implicitly make a set of assumptions about policy that may not relate to the real world and are definitely not related to the policies proposed within the INDCs.

Climate Action Tracker (CAT)

CAT tracks the INDCs from 32 nations that currently have about 80% of global emissions. Their estimate of the INDC impact until 2030 is broadly consistent with the UNFCCC. However, I am not sure where they obtain the historical emissions figures. For countries they appear to be from the World Resources Institute CAIT2.0. CAIT2.0 figures which are slightly different from those in the UNFCCC Country Briefs, but not markedly so in total. CAT’s methodology does have the advantage of providing a breakdown by country until 2030 between the BAU, but beyond 2030 details are distinctly hazy. The 2.7C claim is made on a briefing of 1st October 2015. The main graph behind the 2.7C estimate is reproduced below.

The impact of the INDCs is to see emissions peak about 2030, then gently fall through to the end of the century. From the detailed explanation it is not possible to determine how the emissions peak at the level as collectively the INDCs appear to show an upward trend. The reasons for this are probably from the following:-

India – The INDC that estimates a tripling of emissions between 2014 and 2030 was not available when the briefing was published, which only assumes a doubling. The country assessment for India then tries to reconcile the difference by some fancy assumptions (lower economic growth rates and a higher emissions intensity reduction than in the INDC), without adjusting the overall assessment. If CAT’s 5GtCO2e estimate of 2030 emissions turns out to be correct (9% of global emissions), it will only be emissions growth delayed not a lower emissions peak. It is unlikely that India’s emissions will peak at less than 10GtCO2e, equivalent to over 20% of 2010 global emissions.

China – will likely reach peak emissions prior to 2030, but that peak will be likely higher than the 13.6GtCO2e forecast The CAT country assessment admits this is the case, but makes no allowance in the emissions forecast.

Missing Countries – Most of Africa, along with Pakistan, Vietnam, Bangladesh, Thailand and Myanmar are missing from the sample. Collectively their current emissions are small, but in the coming decades the share will rise. Africa’s emissions will rise as most of the global population increase in the latter half of the century is forecast to be within the continent. In South Asia there is already economic growth above the world average that will likely continue as the poorer countries follow in the wake of India. By 2100 these countries could collectively have emissions greater than current emissions of the OECD and China combined.

Ambiguities in the INDCs – Many of the INDCs are highly ambiguous. The historical figures are inconsistent; the forecasts are opaque; some key figures are missing; and it is not clear if some pledges in the INDC are in addition to the others, or part of the whole. CAT maximises the impact, rather than trying to frame questions for the submitting countries to clarify. There should be an assessment of these pledge risk factors. These will likely reduce the estimated policy impact.

Without any other hidden assumptions, CAT’s methods are likely to massively overstate the impact of policy. Critically is how increasing global emissions though to 2030 become decreasing global emissions post 2030. As inferred above, I believe it is due to systematic understating emission projections in the sample countries and ignoring the growth in the other countries. It may also be due to making further policy assumptions for the period beyond 2030. We will only be able to assess the impact if CAT provide a full country-by country projections of emissions in 2100 for the sample countries for both BAU and with INDC scenarios, along with projections for the rest of the world. Putting the figures on a table, rather than spending time creating graphs from which figures have to be estimated, would ease the process. If proper forecasts have been generated (that is making a forecast without policy, then modelling the impact policy will make) then the outline figures will be available already.

Concluding Comments

The UNFCCC presents no evidence that policy contained within the INDC submissions will make more than a small difference to global emissions in 2100. Instead they rely on external organisations. One quite clearly substitutes real world forecasts with emissions scenarios that do not relate to real world situations, and assume implementation of policy quite different to that contained with the INDCs. The other is likely to have massively overstated the policy impacts, but a lack of any clear statements as to how the conclusions were arrived at means quantification is not possible. The claims that the policy pledges within the INDCs will massively alter global emissions levels in the latter part of this century (and, subject to the climate models being broadly correct, the rise in global average temperatures) are without any proper foundation. The UNFCCC Executive Secretary Christiana Figueres is has made a misleading statement to drive through policies that are both costly and ineffective.

Such forecasts are based on making a forecast without policy, then modelling the impact policy will make, stating the assumptions. With 40,000 people attending a conference, the UNFCCC could surely have set aside a couple of million dollars to obtain a rigorous forecast from leading experts in that field. The methodology is fairly straightforward. It requires making a forecast for each country without policy, then modelling the impact policy will make, stating the assumptions. The important parts are data gathering, adhering rigorously to a consistent method and leaving an audit trail.

Kevin Marshall

aTTP falsely attacks Bjorn Lomborg’s “Impact of Current Climate Proposals” Paper

The following is a comment to be posted at Bishop Hill, responding to another attempt by blogger ….andThenThere’sPhysics to undermine the work of Bjorn Lomborg. The previous attempt was discussed here. This post includes a number of links, as well as a couple of illustrative screen captures at the foot of the table.

aTTP’s comment is

In fact, you should read Joe Romm’s post about this. He’s showing that the INDCs are likely to lead to around 3.5C which I think is relative to something like the 1860-1880 mean. This is very similar to the MIT’s 3.7, and quite a bit lower than the RCP8.5 of around 4.5C. So, yes, we all know that the INDCs are not going to do as much as some might like, but the impact is likely to be a good deal greater than that implied by Lomborg who has essentially assumed that we get to 2030 and then simply give up.

Nov 11, 2015 at 9:31 AM | …and Then There’s Physics

My Comment

aTTP at 9.31 refers to Joe Romm’s blog post of Nov 3 “Misleading U.N. Report Confuses Media On Paris Climate Talks“. Romm uses Climate Interactive’s Climate Scoreboard Tool to show the INDC submissions (if fully implemented) will result in 3.5°C as against the 4.5°C in the non-policy “No Action” Scenario. This is six times the claimed maximum impact of 0.17°C claimed in Lomberg’s new paper. Who is right? What struck me first was that Romm’s first graph, copied straight from the Climate Interactive’s seem to have a very large estimate for emissions in the “No Action” Scenario producing. Downloading the underlying data, I find the “No Action” global emissions in 2100 are 139.3 GtCO2e, compared with about 110 GtCO2e in Figure SPM5(a) of the AR5 Synthesis Report for the RCP8.5 scenario high emissions scenario. But it is the breakdown per country or region that matters.

For the USA, without action emissions are forecast to rise from 2010 to 2030 by 40%, in contrast to a rise of just 9% in the period 1990 to 2010. It is likely that emissions will fall without policy and will be no higher in 2100 than in 2010. The “no action” scenario overestimates 2030 emissions by 2-3 GtCO2e in 2030 and about 7-8 GtCO2e in 2100.

For the China the overestimation is even greater. Emissions will peak during the next decade as China fully industrializes, just as emissions peaked in most European countries in the 1970s and 1980s. Climate Interactive assumes that emissions will peak at 43 GtCO2e in 2090, whereas other estimates that the emissions peak will be around 16-17 GtCO2e before 2030.

Together, overestimations of the US and China’s “No Action” scenarios account for over half 55-60 GtCO2e 2100 emissions difference between the “No Action” and “Current INDC” scenarios. A very old IT term applies here – GIGO. If aTTP had actually checked the underlying assumptions he would realise that Romm’s rebuttal of Lomborg based on China’s emission assumptions (and repeated on his own blog) are as false as claiming that the availability of free condoms is why population peaks.

Links posted at

Kevin Marshall


Figures referred to (but not referenced) in the comment above

Figure 1: Climate Interactive’s graph, referenced by Joe Romm.

Figure 2: Reproduction of Figure SPM5(a) from Page 9 of the AR5 Synthesis Report.


Update – posted the following to ATTP’s blog


Lomborg and the Grantham Institute on the INDC submissions

Bjorn Lomborg has a new paper published in the Global Policy journal, titled: Impact of Current Climate Proposals. (hattip Bishop Hill and WUWT)

From the Abstract

This article investigates the temperature reduction impact of major climate policy proposals implemented by 2030, using the standard MAGICC climate model. Even optimistically assuming that promised emission cuts are maintained throughout the century, the impacts are generally small. ………… All climate policies by the US, China, the EU and the rest of the world, implemented from the early 2000s to 2030 and sustained through the century will likely reduce global temperature rise about 0.17°C in 2100. These impact estimates are robust to different calibrations of climate sensitivity, carbon cycling and different climate scenarios. Current climate policy promises will do little to stabilize the climate and their impact will be undetectable for many decades.

That is pretty clear. COP21 in Paris is a waste of time.

An alternative estimate is provided in a paper by Boyd, Turner and Ward (BTW) of the LSE Grantham Institute, published at the end of October.

They state

The most optimistic estimate of global emissions in 2030 resulting from the INDCs is about halfway between hypothetical ‘business as usual’ and a pathway that is consistent with the 2°C limit

The MAGICC climate model used by both Lomborg & the IPCC predicts warming of about 4.7°C under BAU, implying up to a 1.35°C difference from the INDCs, compared to the 0.17°C maximum calculated by Lomborg, 8 times the amount. Lomborg says this is contingent on no carbon leakage (exporting industry from policy to non-policy countries), whilst citing studies showing that it could offset 10-40%, or even over 100% of the emissions reduction. So the difference between sceptic Lomborg and the mighty LSE Grantham Institute is even greater than 8 times. Yet Lomborg refers extensively to the August Edition of BTW. So why the difference? There is no explicit indication in BTW of how they arrive at their halfway conclusion. nor a comparison by Lomborg.

Two other estimates are from the UNFCCC, and Climate Action Tracker. Both estimate the INDCs will constrain warming to 2.7°C, or about 2.0°C below the MAGICC BAU scenario. They both make assumptions about massive reductions in emissions post 2030 that are not in the INDCs. But at least the UNFCCC and CAT have graphs that show the projection through to 2100. Not so with BTW.

This is where the eminent brain surgeons and Nobel-Prize winning rocket scientists among the readership will need to concentrate to achieve the penetrating analytical powers of a lesser climate scientist.

From the text of BTW, the hypothetical business as usual (BAU) scenario for 2030 is 68 GtCO2e. The most optimistic scenario for emissions from the INDCs (and pessimistic for economic growth in the emerging economies) us that 2030 emissions will be 52 GtCO2e. The sophisticated climate projection models have whispered in code to the climate scientists that to be on target for the limit of 2.0°C, 2030 emissions show be not more than 36 GtCO2e. The mathematicians will be able to determine that 52 is exactly halfway between 36 and 68.

Now for the really difficult bit. I have just spent the last half hour in the shed manically cranking the handle of my patent beancounter extrapolator machine to get this result. By extrapolating this halfway result for the forecast period 2010-2030 through to 2100 my extrapolator tells me the INDCs are halfway to reaching the 2.0°C maximum warming target.

As Bob Ward will no doubt point out in his forthcoming rebuttal of Bjorn Lomborg’s paper, it is only true climate scientists who can reach such levels of analysis and understanding.

I accept no liability for any injuries caused, whether physical or psychological, by people foolishly trying to replicate this advanced result. Please leave this to the experts.

But there is a serious side to this policy advocacy. The Grantham Institute, along with others, is utterly misrepresenting the effectiveness of policy to virtually every government on the planet. Lomborg shows by rigorous means that policy is ineffective even if loads of ridiculous assumptions are made, whether on climate science forecasting, policy theory, technological solutions, government priorities, or the ability of  current governments to make policy commitments for governments for decades ahead. My prediction is that the reaction of the Grantham Institute, along with plenty of others, is a thuggish denunciation of Lomborg. What they will not consider is the rational response to wide differences of interpretation. That is to compare and contrast the arguments and the assumptions made, both explicit and implicit. 

Kevin Marshall

WORLD RESOURCES INSTITUTE and Indonesian Emission Figures

In looking at the Indonesian INDC submission, I came across a confusing array of estimates for Indonesia’s total greenhouse gas emissions. These are the ones I found.

Estimates of Indonesia’s Total Greenhouse Emissions in MtCO2e





UNFCCC 1,101 1,444 2,829 1,908
EDGAR 1,165 622 1,171 745
WRI CAIT 2.0 1,026 1,372 1,584 1,928
WRI Blog   1,000 1,400 1,500
Indonesian Govt     1,800  

In graph format the figures are:-

The Indonesian INDC Submission says it will give unconditionally cut emissions by 29% from the BAU of 2881 MtCO2e, it means that in 2030 emissions will be about 100 MtCO2e lower than in 2005 not 1120 MtCO2e lower (UNFCCC) or 530 MtCO2e higher (EDGAR) . But on the basis of the UNFCCC or EGDAR figures by 2010 Indonesia had fallen by a third, so meeting the 2030 unconditional target should prove a doddle. Alternatively, use the World Resources Institute CAIT 2.0 data and Indonesia has unconditionally agreed something much more drastic. Between 2005 and 2010 emissions grow at 4% a year. On that trend, the 2030 BAU becomes 4200 MtCO2e, not 2881 MtCO2e, so the unconditional emissions “cut” is not 29% but 51%.

The worst example is contained in a graph about the Indonesian INDC Submission at the World Resources Institute Blog and reproduced below.

There are a number of things wrong with this graph, including

  • Scale is in KtCO2e, not MtCO2e.
  • Does not use WRI’s own CAIT 2.0. This is despite WRI claiming itprovides free access to comprehensive, reliable, and comparable greenhouse gas emissions data sets, as well as other climate-relevant indicators, to enable analysis on a wide range of climate-related data questions.
  • Nor does is there any trace of Indonesia’s claimed emissions 1800 Mt CO2e in 2005. So where does this wibbly-wobbly projection come from? The reference includes BAPPENAS 2015 – the Indonesian “National Development Planning Agency”. A search finds this graph.

The figure for 2005 is about 1400 MtCO2e, not the 1800 MtCO2e stated in the INDC. The Indonesian’s have fiddled their own unaudited figures to get a politically desired result – an easily achievable “reduction” in GHG emissions. Even worse, the WRI does check the data. There are minor points that the Indonesian “dalam ribu ton” translates on Google as “in thousand tons“, or that anyone who knows climate data would realize that 1,000,000 MtCO2e is greater than 49GtCO2e, the UNIPCCs AR5 global estimate of GHG emissions in 2010.

Finally, the Carbon Brief, in a recent article says that 1997 was a record for forest fires – a record that may be broken in 2015. Already 1600 MtCO2e has been emitted from forest fires. On this basis, therefore, 1997 total Indonesian emissions are likely to be well in excess of 2000 MtCO2e, and a considerable spike in the record.

The WRI CAIT 2.0 data, shows a minor spike. The narrower “GHG Emissions from Land-Use Change and Forestry” was estimated at 904 MtCO2e, as against 1321 MtCO2e in 2006. This is nowhere near the implied Carbon Brief 1997 emissions record. The figures

In summary, emissions figures for Indonesia are just arbitrary estimates, based on extremely limited and contradictory data. Both the WRI and the Indonesian Government cherry-pick data to suit their cause. Whether it is justified depends on the purpose. The WRI states their missions clearly.

That is to impose their environmentalist beliefs and perspectives on everybody else.

Indonesia’s INDC submission begins

This is, in my view, a far more rounded and focused mission. Against the environmentalist ideologies of the UNFCCC I believed that in manipulating figures Indonesia is serving the interests of 250 million Indonesians.

Kevin Marshall

Indonesia Outflanks the Climate Activists in its INDC Submission

I have spent a few weeks trying to make sense of the INDC submissions. One of the most impenetrable appeared to that from Indonesia. This view is shared by The Carbon Brief.

Uncertain emissions

As well as being hazy on policy and financing needs, it is also difficult to gauge the ambition of Indonesia’s INDC emissions targets. This is despite the document including a projected figure for BAU emissions in 2030 of 2.9bn tonnes of CO2 equivalent (GtCO2e).

The pledge to reduce emissions by at least 29% compared to this trajectory means an effective cap in 2030 of 2GtCO2e. With the more ambitious 41% reduction compared to BAU, the cap would be 1.7GtCO2e.


Similarly the World Resources Institute states

(T)he current draft contribution still displays several important gaps in transparency and ambition, which must be addressed before submitting a final INDC to the United Nations Framework Convention on Climate Change (UNFCCC). By eliminating these gaps, the Indonesian government could bring its contribution into line with international best practices on transparency, demonstrate leadership internationally by enhancing ambition, and help ensure success at COP 21.

The context from Indonesia’s perspective is stated in the opening paragraph of Indonesia’s INDC Submission.

In more basic language, Indonesia has more important and immediate priorities than “climate change“. From a national point of view, imposing drastic and ineffective policies will go against the Indonesian Government’s perceived duty to its people. This will happen regardless of the truth of the projected catastrophes that await the planet without global mitigation. The policies will be ineffective because most other emerging economies have similar priorities to Indonesia, and are taking similar measures of policy avoidance. In the case of Indonesia these are

  • Cherry-picking a base year.
  • Making reductions relative to a fictional “Business as Usual” scenario with inflated economic growth figures.
  • Making sure that even the most ambitious objectives achievable within the range of an objective forecast.
  • Focus the negotiations on achieving the conditional objectives subject to outside assistance. Any failure to reach agreement then becomes the fault of rich countries failing to provide the finance.
  • Allow some room to make last minute concessions not in the original submission, contingent on further unspecified outside assistance that is so vast the money will never be forthcoming.

The calculations to achieve the figures in the submissions are fairly simple to work out with a bit of patience.


Calculating the 2030 Business as Usual 2881 MtCO2e

The Indonesian INDC submission states that in 2005 total emissions were 1800 MtCO2e and combustion of fossil fuels were 19% of this total. That implies about 342 MtCO2e from the combustion of fossil fuels. The Carbon Dioxide Information Analysis Center (CDIAC1) has an estimated figure of 341.71 MtCO2e and the UNFCCC Country Brief in 2005 “CO2 emissions from fuel combustion” were 335.71 MtCO2e. For 20112 the CDIAC estimate is 472.53 MtCO2e, rounded to 473. Let us now assume a growth rate in emissions of 6.0% per annum from 2012 to 2030, against an economic growth rate of around 5.2% from 2000 to 2010 and 5.8% from 2005 to 20103. At 6.0% compound growth fossil fuel emissions in 20304 will be 1431 MtCO2e.

The non-fossil fuel emissions are a bit more problematic to work out. In 2005 the baseline estimate is 81% of 18005 is 1458. It is only a vague estimate, so round it down to 1450 and then assume it is constant for the Business as Usual (BAU) scenario.

The BAU 2030 total emissions forecast for Indonesia is therefore 1431 + 1450 = 2881 MtCO2e.

There might be other ways to derive this figure, but none are simpler and the figures do not fall out exactly.


How does Indonesia achieve the unconditional 29% reduction against BAU?

The easiest part to achieve is outside of fossil fuel emissions. The major cause of these emissions is in the reduction of the rainforests. The Carbon Brief is claims the biggest source of non-fossil fuel emissions is due to illegal forest clearances to grow palm oil. Although in 2015 the forest fires are closing in on the record set in 1997, it is safe to say that that these will reduce considerably in the coming years as Indonesia already has 52% of world palm oil production. By assuming a 3.34% reduction per annum in these emissions from 2005, they will reduce from 1450 MtCO2e to 611 MtCO2e in 2030. Total emissions of 2042 MtCO2e (1431+611) are 29.1% lower than BAU without an expense on the part of the Indonesian Government.


How does Indonesia achieve the conditional 41% reduction against BAU?

Indonesia claims that it needs international cooperation increase the reduction against BAU to 41%. In whole numbers, if BAU is 2881 a 41% reduction would make 1700. Not 1699 or 1701, but 1700. This is 100 less than the estimated 1800 MtCO2e total GHG emissions for 2005. This will be achieved without any “international cooperation“, a euphemism for foreign aid. The reason is simple. From the UNFCCC Indonesia Country Brief for Indonesia GDP growth for 1990 to 2012 average GDP growth per annum was 4.9% and CO2 emissions from fuel combustion was 5.1%. Normally GDP growth exceeds emissions growth. As a country develops this gap will widen until emissions growth ceases altogether and will even fall slightly. In India GDP growth from 1990 to 2012 averaged 6.5% and emissions growth was 5.7%. In China the respective figures are 10.3% and 6.1%. In China, emissions will peak around 2025 to 2030 without any policy change. It is reasonable to assume therefore that forecast fossil fuel emissions growth will be at a lower rate than the forecast GDP growth of 6.0%. A conservative estimate is that the fossil fuel emissions growth rate will be 25% lower than GDP growth rate from 2011 to 2030 at 4.50%. Rounding as before4 gives forecast emissions of 1089 MtCO2e as against a BAU of 1431.

The revised 2030 total emissions forecast for Indonesia is 1089 + 611 = 1700 MtCO2e. This is a 41.0% reduction on the BAU of 2881 MtCO2e.


Why should Indonesia have such a cynical manipulation of the numbers?

Indonesia is caught between a rock and a hard place. The stated major priorities for this country of 250 million people are at odds with doing its bit to save the world. In this Indonesia is not alone. India, China, and Vietnam are other major emerging nations who site other priorities. Ranged against them are the activist scientists behind the climate scare who hold the a priori truth of the prophesied global warming catastrophes that await the planet if we do not amend out wicked ways. Further, mitigation policies are good for the sole, regardless of their effectiveness, and the practice of these policies will lead others to enlightenment they have found. They will not recognize that any alternative points of view exist, whether morally, politically or scientifically. Rather than argue, the best policy is to outflank them. The activists will accept official policy objectives without question so long as it appears to fit the cause. So the Indonesians gave them massive cuts related to fictitious projected figures, cloaked with the language of climate speak to throw them off the scent. They should be applauded for protecting 250 million people, rather than inflicting ineffective burdens upon them. The real shame is that the leaders of the so-called developed economies have fallen for this rubbish.

Kevin Marshall


  1. Reference of the full global carbon budget 2014: C. Le Quéré, R. Moriarty, R. M. Andrew, G. P. Peters, P. Ciais, P. Friedlingstein, S. D. Jones, S. Sitch, P. Tans, A. Arneth, T. A. Boden, L. Bopp, Y. Bozec, J. G. Canadell, F. Chevallier, C. E. Cosca, I. Harris, M. Hoppema, R. A. Houghton, J. I. House, A. K. Jain, T. Johannessen, E. Kato, R. F. Keeling, V. Kitidis, K. Klein Goldewijk, C. Koven, C. S. Landa, P. Landschützer, A. Lenton, I. D. Lima, G. H. Marland, J. T. Mathis, N. Metzl, Y. Nojiri, A. Olsen, T. Ono, W. Peters, B. Pfeil, B. Poulter, M. R. Raupach, P. Regnier, C. Rödenbeck, S. Saito, J. E. Sailsbury, U. Schuster, J. Schwinger, R. Séférian, J. Segschneider, T. Steinhoff, B. D. Stocker, A. J. Sutton, T. Takahashi, B. Tilbrook, G. R. van der Werf, N. Viovy, Y.-P. Wang, R. Wanninkhof, A. Wiltshire, and N. Zeng 2014. Global Carbon Budget 2014. Earth System Science Data Discussions, doi:10.5194/essdd-7-521-2014
  2. 2011 is the baseline year for the IPCC reports.
  3. This can be obtained from two sources. First the INDC submission notes that “GDP Growth Rate has slowed between 2010-2015 from 6.2-6.5% per annum to only 4.0% per annum (first quarter of 2015).” A return to the higher levels of growth is an assumption of successful government policy.
  4. Each year growth of 6.0% is rounded to the nearest whole number.
  5. The 2005 total emissions estimate of 1800 MtCO2 is at odds with other estimates. The WRI CAIT 2.0 figure is 1600; the EDGAR estimate is 1171; and the UNFCCC estimate is 2828. There might be another method of estimation. Maybe it is being a bit too cynical to assume that someone could have taken the average of the three (1866) and rounded down.

Ivanpah Solar Project Still Failing to Achieve Potential

Paul Homewood yesterday referred to a Marketwatch report titled “High-tech solar projects fail to deliver.” This was reposted at Tallbloke.

Marketwatch looks at the Ivanpah solar project. They comment

The $2.2 billion Ivanpah solar power project in California’s Mojave Desert is supposed to be generating more than a million megawatt-hours of electricity each year. But 15 months after starting up, the plant is producing just 40% of that, according to data from the U.S. Energy Department.

I looked at the Ivanpah solar project last fall, when the investors applied for a $539million federal grant to help pay off a $1.5 billion federal loan. One of the largest investors was Google, who at the end of 2013 had Cash, Cash Equivalents & Marketable Securities of $58,717million, $10,000million than the year before.

Technologically the Ivanpah plant seems impressive. It is worth taking a look at the website.

That might have been the problem. The original projections were for 1065,000 MWh annually from a 392 MW nameplate implying a planned output of 31% of capacity. When I look at the costings on Which? for solar panels on the roof of a house, they assume just under 10% of capacity. Another site, Wind and Sun UK, say

1 kWp of well sited PV array in the UK will produce 700-800 kWh of electricity per year.

That is around 8-9.5% of capacity. Even considering the technological superiority of the project and the climatic differences, three times is a bit steep, although 12.5% (40% of 31%) is very low. From Marketwatch some of the difference is can be explained by

  • Complex equipment constantly breaking down
  • Optimization of complex new technologies
  • Steam pipes leaking due to vibrations
  • Generating the initial steam takes longer than expected
  • It is cloudier than expected

However, even all of this cannot account for the output only being at 40% of expected. With the strong sun of the desert I would expect daily output to never exceed 40% of theoretical, as it is only daylight for 50% of the time, and just after sunrise and before sunset the sun is less strong than at midday. As well as the teething problems with complex technology, it appears that the engineers were over optimistic. A lack of due diligence in appraising the scheme – a factor common to many large scale Government backed initiatives – will have let the engineers have the finance for a fully scaled-up version of what should have been a small-scale project to prove the technology.