Could Fighting Global Warming Be Cheap and Free?

This just in: Saving the planet would be cheap; it might even be free. But will anyone believe the good news?

I’ve just been reading two new reports on the economics of fighting climate change: a big study by a blue-ribbon international group, the New Climate Economy Project, and a working paper from the International Monetary Fund. Both claim that strong measures to limit carbon emissions would have hardly any negative effect on economic growth, and might actually lead to faster growth. This may sound too good to be true, but it isn’t. These are serious, careful analyses.

But you know that such assessments will be met with claims that it’s impossible to break the link between economic growth and ever-rising emissions of greenhouse gases, a position I think of as “climate despair.” The most dangerous proponents of climate despair are on the anti-environmentalist right. But they receive aid and comfort from other groups, including some on the left, who have their own reasons for getting it wrong.

Where is the new optimism about climate change and growth coming from? It has long been clear that a well-thought-out strategy of emissions control, in particular one that puts a price on carbon via either an emissions tax or a cap-and-trade scheme, would cost much less than the usual suspects want you to think. But the economics of climate protection look even better now than they did a few years ago.

On one side, there has been dramatic progress in renewable energy technology, with the costs of solar power, in particular, plunging, down by half just since 2010. Renewables have their limitations — basically, the sun doesn’t always shine, and the wind doesn’t always blow — but if you think that an economy getting a lot of its power from wind farms and solar panels is a hippie fantasy, you’re the one out of touch with reality.

On the other side, it turns out that putting a price on carbon would have large “co-benefits” — positive effects over and above the reduction in climate risks — and that these benefits would come fairly quickly. The most important of these co-benefits, according to the I.M.F. paper, would involve public health: burning coal causes many respiratory ailments, which drive up medical costs and reduce productivity.

And thanks to these co-benefits, the paper argues, one argument often made against carbon pricing — that it’s not worth doing unless we can get a global agreement — is wrong. Even without an international agreement, there are ample reasons to take action against the climate threat.

But back to the main point: It’s easier to slash emissions than seemed possible even a few years ago, and reduced emissions would produce large benefits in the short-to-medium run. So saving the planet would be cheap and maybe even come free.

Enter the prophets of climate despair, who wave away all this analysis and declare that the only way to limit carbon emissions is to bring an end to economic growth.

You mostly hear this from people on the right, who normally say that free-market economies are endlessly flexible and creative. But when you propose putting a price on carbon, suddenly they insist that industry will be completely incapable of adapting to changed incentives. Why, it’s almost as if they’re looking for excuses to avoid confronting climate change, and, in particular, to avoid anything that hurts fossil-fuel interests, no matter how beneficial to everyone else.

But climate despair produces some odd bedfellows: Koch-fueled insistence that emission limits would kill economic growth is echoed by some who see this as an argument not against climate action, but against growth. You can find this attitude in the mostly European “degrowth” movement, or in American groups like the Post Carbon Institute; I’ve encountered claims that saving the planet requires an end to growth at left-leaning meetings on “rethinking economics.” To be fair, anti-growth environmentalism is a marginal position even on the left, but it’s widespread enough to call out nonetheless.

And you sometimes see hard scientists making arguments along the same lines, largely (I think) because they don’t understand what economic growth means. They think of it as a crude, physical thing, a matter simply of producing more stuff, and don’t take into account the many choices — about what to consume, about which technologies to use — that go into producing a dollar’s worth of G.D.P.

So here’s what you need to know: Climate despair is all wrong. The idea that economic growth and climate action are incompatible may sound hardheaded and realistic, but it’s actually a fuzzy-minded misconception. If we ever get past the special interests and ideology that have blocked action to save the planet, we’ll find that it’s cheaper and easier than almost anyone imagines.

The CROWN where global issues are extensively discussed and fiercely debated from both sides of the argument — by one person.

Op-ed: The New Polytechnic: Preparing to Lead in the Digital Economy

Think about what is going on right now, all around you. There are satellites above us collecting data on air movements, sensors below us collecting data on ground movements, and cameras all around us collecting data on our movements. Medical devices are measuring heartbeats, and communication devices are receiving and sending tweets, emails, text messages, and GPS signals.

Data is being generated by each of us, about each of us, and collected all around each of us. It is the new natural resource of the 21st century. As with all valuable resources, it is important how we generate it, how we mine it, how we manage it, how we preserve it, and how we connect it.

This extraordinarily rapid expansion in the creation, availability, and interconnectivity of data from multiple sources, and the ever more powerful analytical and computational capacity that is generating new information from this deluge of data, is causing a significant transformation globally in the way we make discoveries, make decisions, make products, make connections and, ultimately, make progress. It is altering all aspects of curriculum and research at universities such as Rensselaer Polytechnic Institute.

The ability to aggregate, integrate, validate, structure, and fully use the burgeoning mass of information available will define success in this data-driven future – including for universities.

A new way of working and learning is required – what I have called the “New Polytechnic” – collaborating across disciplines and sectors and regions to harness the power of these tools and technologies to address the key intersecting challenges and opportunities of our time: in energy security, health, food, water, and national security, as well as the linked challenges of climate change and allocation of scarce resources so critical to our future.

In the “New Polytechnic,” universities must collaborate more effectively with businesses and governments to link the capabilities of advanced information technologies, communications, and networking – to the life sciences, and the physical, materials, environmental, social, cognitive, and computational sciences.

We also must prepare the next generation to succeed and lead in this new world. Students need to acquire new skills for this digitally interconnected environment, including the ability to “translate” between and among disciplines and sectors. They must learn to operate effectively and ethically in virtual communities, immersive environments, and in blended worlds.

At Rensselaer Polytechnic Institute, we are transforming ourselves to develop and use these new tools and technologies so that our faculty and students can apply them to answer the great global challenges.

We are incorporating data literacy across the curriculum, and throughout our research. We are using digitally created immersive environments and multiplayer games, and artificially intelligent characters to teach and to learn.

We launched The Rensselaer Institute for Data Exploration and Applications – or The Rensselaer IDEA – bringing together talents and strengths in web science, high-performance computing, cognitive computing, data science and predictive analytics, and immersive technologies – and linking them to applications at the interface of engineering and the physical, life, and social sciences.

In addition, we now have the most powerful university-based supercomputer at a private American academic institution; IBM’s Watson computer has enrolled at Rensselaer to expand its cognitive computing skills; a Rensselaer professor is leading the U.S. in a global effort – the Research Data Alliance – to enable scientists to access, combine, and preserve research data; and we have partnered with Mount Sinai’s Icahn School of Medicine to push the boundaries of data-driven health research.

Interlinking all of these components and more, we are taking an interdisciplinary approach that will impact research and teaching in powerful new ways. We are educating our students – the next generation of discoverers, innovators, and entrepreneurs – to make a difference in this context. We are modeling the future.

The great universities of the 21st century will remain the physical crossroads where creative people interact across the disciplines and great ideas emerge from these connections. However, in this new digital era, the interconnections will be more global, the pace more rapid, the scale more complex, and the opportunities to change the world more immediate.