Market Forces

Linking in a world of significant policy uncertainty

This guest blog was co-authored with Thomas Sterner

And then there were three. As of January 1st, 2018, Ontario has joined California and Québec, linking their respective carbon markets. In a post-Paris world of bottom-up climate policy, linking of climate policy matters. It provides a concrete step forward on the Paris Declaration on Carbon Pricing in the Americas. It shows that, while the U.S. federal government is dismantling much-needed climate protections, states, together with Canadian provinces, are moving forward. Linking, if done right, can be a powerful enabler of greater ambition. It also raises important questions.

To be clear, there are real advantages to linking carbon markets: Linking of climate policies is a political affirmation of joint goals and a signal to others to move toward concerted carbon policies. It also shows the real advantages of market-based environmental policies. Bigger markets also afford greater cost-savings opportunities.

The textbook illustration of such savings is instructive. Take two jurisdictions, the high-cost abatement area (“H”) and the low-cost abatement area (“L”), with vastly different marginal costs (MC) of abatement. The total costs of abatement, the respective shaded areas in this graph, will be vastly different, too:

 

Now consider the idealized linked market. Total abatement (ΣX) will remain the same. The difference? Prices equilibrate across markets, with PL now equal to PH, lowering the total cost of achieving the same tons of carbon dioxide-equivalent (CO2e) abated.

 

Abatement costs clearly matter. The lower the costs of achieving the same goal, the better. All else equal, the two jurisdictions can now afford to abate more at the same cost.

Will all else indeed be equal?

It is clear the world needs to do a lot more to stabilize greenhouse-gas concentrations. That means quickly getting net emissions of carbon dioxide going into the atmosphere to zero.

There, too, the simple textbook case can be instructive. Linking implies sending money from country H to country L to pay for the cheaper abatement. This raises important questions of baselines, accounting, and transparency. Moreover, lower abatement costs are not the only objective of climate policies. Direct support for the deployment of new, cleaner technologies often tops the list. Given the political economy of reducing greenhouse-gas emissions in the first place, there are many competing domestic objectives and indeed real tradeoffs that need attention.

The big question then is what linkage does to the overall level of policy ambition. Lower costs imply the potential for more ambitious policies. That is clearly good but the devil is in the details. It is important to assure that coordination and collaboration among different jurisdictions really do raise the level of ambition, as the Paris Declaration pledges.

It is also clear that climate policy overall ought to have a balance of bottom-up and top-down policies. Linkage is one potentially important element in that equation. The ultimate measure, however, is tons of greenhouse gases abated from the atmosphere.

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Moody’s Challenge: Prepare for Climate Change or Risk Credit Rating Downgrades

This post was co-authored by Aurora Barone

In the face of havoc wrought by recent storms and hurricanes, Moody’s Investors Services, Inc. has declared that state and local bondholders must account for climate change or face downgrades. It is the first of the three major credit rating agencies to incorporate climate change risks into its ratings assessment, a move that may incentivize policymakers to make smarter, long-term investments in resilience efforts like stormwater systems or flood management programs.

Bond rating agencies like Moody’s help investors determine the risk of companies and governments defaulting on repayments. Revenue, debt levels, and financial management are all common measures of creditworthiness.

States at high risk–mainly on the coast–including Texas, Florida, Georgia and Mississippi, will have to account for how they are preparing for the adverse effects of climate change, including the effects of storms and floods, which are predicted to become more frequent and intense as temperatures climb.

In its report to its clients, Moody’s outlined parameters that it will use to assess the “exposure and overall susceptibility of U.S. states to the physical effects of climate change.” Some of these parameters include reviewing an area’s economic, institutional, fiscal strengths, and susceptibility to event risk – all of which will influence the borrower’s ability to repay debt. Coastal risks, like rising sea levels and flooding, and an increase in the frequency of extreme weather events, like tornadoes, wildfires, and storms, are just a few of the indicators that will be incorporated into the rating.

This wasn’t always the case. Take New Jersey’s Ocean County, for example. In 2012, Hurricane Sandy devastated Seaside Heights, destroying local businesses and oceanfront properties. Yet, last summer, Ocean County sold $31 million in bonds maturing over 20 years – bonds which received a perfect triple-A rating from both Moody’s and S&P Global Ratings. In 2016, major bond companies issued triple-A ratings for long-term bonds to Hilton Head and Virginia Beach, despite the U.S. Navy’s warnings that the latter faced severe threats from climate change. A recent World Bank study calculated future urban losses that many coastal cities may face because of climate change; Miami, New York, New Orleans, and Boston ranked highest in overall risk.  In March 2016, Moody’s and S&P gave top ratings to bonds issued by Boston of $150 million maturing over 20 years, evidently not accounting for any associated climate risks.

In Moody’s new effort to incorporate the risk of climate change into its ratings, it is trying to account for “immediate and observable impacts on an issuer’s infrastructure, economy and revenue base, and environment” as well as economic challenges that may result, such as “smaller crop yields, infrastructure damage, higher energy demands, and escalated recovery costs”.

The hope: in facing the threat of a rating downgrade and more expensive debt, local governments should move to implement major adaptation and resilience projects as a way to entice investors, and of course, to plan for the effects of climate change.

 

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Why rolling back common-sense rules puts taxpayers on the hook for future disasters

This post was co-authored with Beia Spiller

Since 2000, major flood and hurricane disasters have cost the nation $499.5 billion – that’s more than double what floods cost us from 1980 to 1999 – and doesn’t even reflect damages from Hurricanes Harvey, Irma, or Maria. You’d think that at a time when our nation faces greater threats from extreme weather, reducing the economic and social costs of flood disasters would be a top priority.

Instead, President Trump rescinded a requirement that federal agencies take future flood risks into greater consideration for federal projects in or affecting floodplains, setting us up for future fiscal disaster. Given the number and size of this year’s hurricanes, and the devastation they have wrought to millions of Americans, it’s clear that we aren’t doing enough to reduce the costs of these disasters. Yet, President Trump’s action, if uncorrected, will increase the costs to our country. Instead of rolling back common-sense rules meant to protect taxpayers, Congress and the administration should be ensuring that our federal investments can better withstand the impacts of flooding.

Where and how we build helps us better cope with disasters and saves money

The two best ways to minimize flood damage losses are: building outside of floodplains and building structures capable of coping with flooding. Federal agencies should be held accountable for implementing these proven best practices.

According to the Department of Homeland Security (DHS), benefits of implementing stronger building codes for natural hazards include savings from lowered insurance rates, increased property values, and reduced losses during floods. When building codes offer enhanced protection against the threats of flood-related disasters, communities recover faster and reduce the fiscal pressure on governments responding to damages.

Furthermore, designing for resiliency can be cost-effective. According to one study evaluating the effectiveness of flood building codes, constructing new buildings to withstand floods by increasing their elevation usually costs less than 1% of the total building cost for each foot they are raised. And, given the risks of flooding over time, these investments were found to pay for themselves in as little as one or two years for those areas with the highest risk of flooding. It’s noteworthy that buildings constructed after Andrew, following the more rigorous codes, withstood Irma.

In light of this, it is ironic that the most hurricane-prone state in the country could retreat from its renowned building code system given that Florida Governor Rick Scott signed into law changes to state’s system that had been adopted after Hurricane Andrew. The changes include reducing inspections and the frequency of code updates, and allowing for fewer votes from the state’s Building Commission to make further code revisions. The latter is seen by many as an opportunity for the Commission, which is dominated by contractors and construction firms, to further weaken the codes that have been seen as some of the best in the country.

From 1978-2016, FEMA paid out more than $59 trillion (in 2016 dollars) for losses associated with significant floods, with 76% of those payments occurring after 2004. Importantly, the average paid loss increased by almost 2.5 times since 1978 (even after accounting for inflation). These moves toward lowered building codes and standards will only ensure more and more costly FEMA payouts, with taxpayers footing the bill. In the long run, these actions are ultimately at odds with administrations preaching fiscal conservatism.

Investing now to save in the future

Instead of taking such unnecessary risks, cities and states should adopt more stringent risk-informed building codes and zoning, so we can start building now for a more reliable, sustainable and resilient infrastructure. Similarly, the administration should enhance flood resilience standards for federal investments, including those made as part of disaster recovery, to reduce the costs of flooding today and in the future. Doing so will improve long-term protection of human health and welfare. If we build smarter now, communities, taxpayers and nature will reap rewards in the future.

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What’s behind President Trump’s mystery math?

This post originally appeared on EDF’s Climate 411

By this time, your eyes may have glazed over from reading the myriad of fact checks and rebuttals of President Trump’s speech announcing the United States’ withdrawal from the Paris climate agreement. There were so many dizzying falsehoods in his comments that it is nearly impossible to find any truth in the rhetorical fog.

Of all the falsehoods, President Trump’s insistence that compliance with the Paris accord would cost Americans millions of lost jobs and trillions in lowered Gross Domestic Product was particularly brazen, deceptive, and absurd. These statements are part of a disturbing pattern, the latest in a calculated campaign to deceive the public about the economics of reducing climate pollution.

Based on a study funded by industry trade groups

Let’s be clear: the National Economic Research Associates (NERA) study underpinning these misleading claims was paid for by the U.S. Chamber of Commerce and the American Council for Capital Formation (ACCF) – two lobbying organizations backed by fossil fuel industry funding that have a history of commissioning exaggerated cost estimates of climate change solutions. When you pay for bad assumptions, you ensure exaggerated and unrealistic results.

In the past five years alone, NERA has released a number of dubious studies funded by fossil fuel interests about a range of environmental safeguards that protect the public from dangerous pollution like mercury, smog, and particulate matter – all of which cause serious health impacts, especially in the elderly, children, and the most vulnerable. NERA’s work has been debunked over and over. Experts from MIT and NYU said NERA’s cost estimates from a 2014 study on EPA’s ozone standards were “fraudulent” and calculated in “an insane way.” NERA’s 2015 estimates of the impacts of the Clean Power Plan, which are frequently quoted by President Trump’s EPA Administrator Scott Pruitt and others, have also been rebutted due to unrealistic and pessimistic assumptions.

The study does not account for the enormous costs of climate pollution

In his speech about the Paris agreement, President Trump crossed a line that made even NERA so uncomfortable that it released a statement emphasizing that its results were mischaracterized and that the study “was not a cost-benefit analysis of the Paris agreement, nor does it purport to be one.”

The most important point embedded in this statement is that the study does not account for the enormous benefits of reducing the carbon pollution causing climate change. Climate change causes devastating impacts including extreme weather events like flooding and deadly storms, the spread of disease, sea level rise, increased food insecurity, and other disasters. These impacts can cost businesses, families, governments and taxpayers hundreds of billions of dollars through rising health care costs, destruction of property, increased food prices, and more. The costs of this pollution are massive, and communities all around the U.S. are already feeling the impacts – yet the President and his Administration continue to disregard this reality as well as basic scientific and economic facts.

Cherry-picking an impractical and imaginary pathway to emission reductions

The statistics the President used were picked from a specific scenario in the study that outlined an impractical and imaginary pathway to meet our 2025 targets designed to be needlessly expensive, as experts at the World Resources Institute and the Natural Resources Defense Council have noted. The study’s “core” scenario assumes sector by sector emission reduction targets (which do not exist as part of the Paris accord) that result in the most aggressive level of mitigation being required from the sectors where it is most expensive. This includes an almost 40 percent reduction in industrial sector emissions – a disproportionate level not envisioned in any current policy proposal – which results in heavily exaggerated costs.

An expert at the independent think tank Resources for the Future, Marc Hafstead, pointed out:

The NERA study grossly overstates the changes in output and jobs in heavy industry.

Yale economist Kenneth Gillingham said of these numbers:

It’s not something you can cite in a presidential speech with a straight face … It’s being used as a talking point taken out of context.

The NERA analysis also includes a scenario that illustrates what experts have known for decades – that a smarter and more cost-effective route to achieving deep emission reductions is a flexible, economy-wide program that prices carbon and allows the market to take advantage of the most cost-effective reductions across sectors. Even NERA’s analysis shows that this type of program would result in significantly lower costs than their “core” scenario. Not surprisingly, that analysis is buried in the depths of the report, and has been entirely ignored by the Chamber of Commerce and ACCF as well as President Trump.

Study ignores potential innovation and declining costs of low carbon energy

Finally, the NERA study assumes that businesses would not innovate to keep costs down in the face of new regulations – employing pessimistic assumptions that ignore the transformational changes already moving us towards the expansion of lower carbon energy. Those assumptions rely on overly-conservative projections for renewable energy costs, which have been rapidly declining. They also underestimate the potential for reductions from low-cost efficiency improvements, and assume only minimal technological improvements in the coming years.

In reality, clean energy is outpacing previous forecasts and clean energy jobs are booming. There are more jobs in solar energy than in oil and natural gas extraction in the U.S. right now, and more jobs in wind than in coal mining.

The truth is that the clean energy revolution is the economic engine of the future. President Trump’s announcement that he will withdraw the U.S. from the Paris accord cedes leadership and enormous investment opportunities to Europe, China, and the rest of the world. His faulty math will not change these facts.

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Why the EPA gives Taxpayers the Biggest Bang for their Hard-earned Buck

This blog was co-authored with Gernot Wagner

The Trump administration’s proposed federal budget for fiscal year 2017 slashes the Environmental Protection Agency’s (EPA) budget by 31 percent, targeting an entity that already operates with one of the smallest budgets in the government – of every 10 dollars the federal government spends, EPA only gets 2 cents.

But absolute numbers aren’t the right metric. The big question is what the public (President Trump’s employer) gets for its investment. And using that metric, the EPA generates the biggest benefits of any agency, bar none.

 

 

Between 2005 and 2015, EPA regulations produced on average $9 in benefits for every $1 spent towards compliance. These benefits include: keeping Americans safe from dirty air, water, and dangerous chemicals – all of which can cause increased hospitalizations, missed work days, premature death, and birth defects. While numerous agencies across the federal government provide vital, lifesaving services, as well, EPA has the best benefits-to-costs ratio of any U.S. agency, according to the Office of Management and Budget (OMB), which produces an annual report tallying the benefits and the costs of major federal rules for every U.S. agency.

Total numbers are even more staggering: over those ten years, EPA is responsible for $376 billion in social benefits after subtracting the costs incurred by its regulations. That’s an order of magnitude higher than any other U.S. agency.

The message is clear: EPA provides large benefits at a bargain. In fact, while a high benefit-to-cost ratio is good, the goal isn’t to maximize the ratio. The goal is to maximize net benefits to society. EPA has been extremely successful at doing exactly that. Now is not the time to walk back that kind of progress.

 

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What Night-time Lights Tell us about the World and its Inhabitants

Night viewMost people are familiar with the iconic image of North Korea at night—Pyongyang stands as a beacon of light amid of what looks almost like a large body of water—but what is, in fact, land draped in complete darkness. That imagery revealed details about what was previously unknowable due to the country’s cloak of secrecy—its meager electricity use and level of poverty. My colleagues Daniel Zavala-Araiza, Gernot Wagner and I took an even deeper look at how well night-time lights can account for other measures of socio-economic activity in a new article published today in the journal PLOS ONE.

I got interested in what these images could tell us back in 2012 when I started attending the Geo for Good conference, an annual event hosted by Google where nonprofits and researchers learn how to use geospatial tools such as Earth Engine. Gernot, Daniel and I started wondering what interesting applications we could explore with night-time lights data, and see what we could learn by examining the entire 21-year record of the National Oceanic and Atmospheric Administration’s Defense Meteorological Satellite Program (DMSP) at the country level. We took that dataset and compared it to a much wider scope of other datasets. By using a distributed, parallelized platform such as Earth Engine, the scope of this research and our analysis is able to be larger than prior studies.

The prevalence and magnitude of night-time light is an alternative, standardized, and relatively unbiased way to gather information about important socio-economic indicators like CO2 emissions, GDP, and other measures that would in some cases be unknowable. For example, these data helped estimate the size of the informal economy of Mexico in a 2009 study by Ghosh et al.

We’re hoping that by combining all of these methods, data sets, and tools, researchers can develop an even better understanding of how we relate to the environment, so we can ultimately become better stewards of it. Google Earth Engine, Hadoop and Spark are powerful examples of such tools —our hope is that our fellow researchers will ask and pursue new questions, so we can advance the conversation even further.

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