Nearly 15 years after journalist David Owen and I tangled — and then united — over Jevons Paradox, the New York Times today published a guest essay on that subject by a Murdoch-employed London journalist. David and I went deeper and did better, as you’ll see in a moment.
Jevons Paradox denotes the tendency of economies to increase, not decrease, their use of something as they learn how to use that thing more efficiently. Its 19th-century archetype, observed by Britisher William Stanley Jevons, was that “as steam engines became ever more efficient, Britain’s appetite for coal [to power them] increased rather than decreased,” as Sky News editor Ed Conway put it today, in The Paradox Holding Back the Clean Energy Revolution. Why? Because the “rebound” in use of steam as its manufacture grew cheaper more than offset the direct contraction in use from the increased efficiency.
Illustration by Joost Swarte for “The Efficiency Dilemma,” in the New Yorker magazine’s Dec. 20, 2010 print edition (Dec. 12 on line).
Where does David Owen come in? In October 2009 he published an op-ed in the Wall Street Journal claiming that congestion pricing could never cure traffic congestion, on account of the bounceback in car traffic due to lesser congestion. (Funnily enough, the Journal never runs opinion pieces maintaining that induced demand prevents highway expansions from “solving” road congestion.) My subsequent rebuttal in Streetsblog, Paradox, Schmaradox, Congestion Pricing Works, changed David’s mind. The disincentive of the congestion toll, he told me, could probably stave off enough of the rebound in driving to allow congestion pricing to fulfill its promise of curbing gridlock.
A year later, when David revisited Jevons Paradox in a full-blown New Yorker magazine narrative, The Efficiency Dilemma, he made sure to point to “capping emissions or putting a price on carbon or increasing energy taxes” as potential ways out. I was thrilled. and I published a post in Grist riffing on “The Efficiency Dilemma.” I’ve pasted it below. I hope to comment on Conway’s NY Times essay in a future post soon.
If efficiency hasn’t cut energy use, then what?
By Charles Komanoff, reprinted from Grist, Dec. 16, 2010.
One of the most penetrating critiques of energy-efficiency dogma you’ll ever read is in this week’s New Yorker (yes, the New Yorker). “The efficiency dilemma,” by David Owen, has this provocative subtitle: “If our machines use less energy, will we just use them more?” Owen’s answer is a resounding, iconoclastic, and probably correct Yes.
Owen’s thesis is that as a society becomes more energy efficient, it becomes downright inefficient not to use more. The pursuit of efficiency is smart for individuals and businesses but a dead end for energy and climate policy.
This idea isn’t wholly original. It’s known as the Jevons paradox, and it has a 150-year history of provoking bursts of discussion before being repressed from social consciousness. What Owen adds to the thread is considerable, however: a fine narrative arc; the conceptual feat of elevating the paradox from the micro level, where it is rebuttable, to the macro, where it is more robust; a compelling case study; and the courage to take on energy-efficiency guru Amory Lovins. Best of all, Owen offers a way out: raising fuel prices via energy taxes.
Thirty-five years ago, when the energy industry first ridiculed efficiency as a return ticket to the Dark Ages, it was met with a torrent of smart ripostes like the Ford Foundation’s landmark “A Time to Choose” report — a well-thumbed copy of which adorns my bookshelf. Since then, the cause of energy efficiency has rung up one triumph after another: refrigerators have tripled in thermodynamic efficiency, energy-guzzling incandescent bulbs have been booted out of commercial buildings, and developers of trophy properties compete to rack up LEED points denoting low-energy design and operation.
Yet it’s difficult to see that these achievements have had any effect on slowing the growth in energy use. U.S. electricity consumption in 2008 was double that of 1975, and overall energy consumption was up by 38 percent. True, during this time U.S. population grew by 40 percent, but we also outsourced much of our manufacturing to Asia. In any case, efficiency, the assertedly immense resource that lay untapped in U.S. basements, garages, and offices, was supposed to slash per capita energy use, not just keep it from rising. Why hasn’t it? And what does that say for energy and climate policy?
A short form of the Jevons paradox, and a good entry point for discussing it, is the “rebound effect” — the tendency to employ more of something when efficiency has effectively cut its cost. The rebound effect is a staple of transportation analysis, in two separate forms. One is the rebound in gallons of gas consumed when fuel-efficiency standards have reduced the fuel cost to drive a mile. The other is the rebound from the reduction in car trips after imposition of a road toll, now that the drop in traffic has made it possible to cover the same ground in less time.
Rebound effect one turns out to be small. As UC-Irvine economics professor Ken Small has shown, no more than 20 percent of the gasoline savings from improved engine efficiency have been lost to the tendency to drive more miles — and much less in the short term. Rebound effect two is more significant and becoming more so, as time increasingly trumps money in the decision-making of drivers, at least better-off ones.
Rebound effects, then, vary in magnitude from one sector to another. They can be tricky to analyze, as Owen unwittingly demonstrated in an ill-considered 2009 Wall Street Journal op-ed criticizing congestion pricing, “How traffic jams help the environment.” He wrote:
If reducing [congestion via a toll] merely makes life easier for those who drive, then the improved traffic flow can actually increase the environmental damage done by cars, by raising overall traffic volume, encouraging sprawl and long car commutes.
Not so, as I wrote in “Paradox, schmaradox. Congestion pricing works”:
When the reduction in traffic is caused by a congestion charge, life is not just easier for those who continue driving but more costly as well. Yes, there’s a seesaw between price effects and time effects, but setting the congestion price at the right point will rebalance the system toward less driving, without harming the city’s economy.
Rebound effects from more fuel-efficient vehicles, as depicted in “Energy sufficiency and rebound effects,” a 2018 concept paper by Steve Sorrell, Univ. of Sussex, and Birgitta Gabersleben & Angela Druckman, Univ. of Surrey, UK.
More importantly, as Owen points out in his New Yorker piece, a narrow “bottom up” view — one that considers people’s decision-making in isolated realms of activity one-by-one — tends to miss broader rebound effects. On the face of it, doubling the efficiency of clothes washers and dryers shouldn’t cause the amount of laundering to rise more than slightly. But consider: 30 years ago, an urban family of four would have used the washer-dryer in the basement or at the laundromat, forcing it to “conserve” drying to save not just quarters but time traipsing back and forth. Since then, however, efficiency gains have enabled manufacturers to make washer-dryers in apartment sizes. We own one, and find ourselves using it for “spot” situations — emergencies that aren’t really emergencies, small loads for the item we “need” for tomorrow — that add more than a little to our total usage. And who’s to say that the advent of cheap and rapid laundering hasn’t contributed to the long-term rise in fashion-consumption, with all it implies for increased energy use through more manufacturing, freight hauling, retailing, and advertising?
Owen offers his own big example. Interestingly, it’s not computers or other electronic devices. It’s cooling. In an entertaining and all-too-brief romp through a half-century of changing mores, he traces the evolution of refrigeration and its “fraternal twin,” air conditioning, from rare, seldom-used luxuries then, to ubiquitous, always-on devices today:
My parents’ [first fridge] had a tiny, uninsulated freezer compartment, which seldom contained much more than a few aluminum ice trays and a burrow-like mantle of frost … The recently remodeled kitchen of a friend of mine contains an enormous side-by-side refrigerator, an enormous side-by-side freezer, and a drawer-like under-counter mini-fridge for beverages. And the trend has not been confined to households. As the ability to efficiently and inexpensively chill things has grown, so have opportunities to buy chilled things — a potent positive-feedback loop. Gas stations now often have almost as much refrigerated shelf space as the grocery stores of my early childhood; even mediocre hotel rooms usually come with their own small fridge (which, typically, either is empty or — if it’s a minibar — contains mainly things that don’t need to be kept cold), in addition to an icemaker and a refrigerated vending machine down the hall.
Air conditioning has a similar arc, ending with Owen’s observation that “access to cooled air is self-reinforcing: to someone who works in an air-conditioned office, an un-air-conditioned house quickly becomes intolerable, and vice versa.”
If Owen has a summation, it’s this:
All such increases in energy-consuming activity [driven by increased efficiency] can be considered manifestations of the Jevons paradox. Teasing out the precise contribution of a particular efficiency improvement isn’t just difficult, however; it may be impossible, because the endlessly ramifying network of interconnections is too complex to yield readily to empirical, mathematics-based analysis. [Emphasis mine.]
Defenders of efficiency will call “endlessly ramifying network” a cop-out. I’d say the burden is on them to prove otherwise. Based on the aggregate energy data mentioned earlier, efficiency advocates have been winning the micro battles but losing the macro war. Through engineering brilliance and concerted political and regulatory advocacy, we have increased energy-efficiency in the small while the society around us has grown monstrously energy-inefficient and cancelled out those gains. Two steps forward, two steps back.
I wrote something roughly similar five years ago in a broadside against my old colleague, Amory Lovins:
[T]hough Amory has been evangelizing “the soft path” for thirty years, his handful of glittering successes have only evoked limited emulation. Why? Because after the price shocks of the 1970s, energy became, and is still, too darn cheap. It’s a law of nature, I’d say, or at least of Economics 101: inexpensive anything will never be conserved. So long as energy is cheap, Amory’s magnificent exceptions will remain just that. Thousands of highly-focused advocacy groups will break their hearts trying to fix the thousands of ingrained practices that add up to energy over-consumption, from tax-deductible mortgages and always-on electronics to anti-solar zoning codes and un-bikeable streets. And all the while, new ways to use energy will arise, overwhelming whatever hard-won reductions these Sisyphean efforts achieve.
I wrote that a day or two after inviting Lovins to endorse putting carbon or other fuel taxes front-and-center in energy advocacy. He declined, insisting that “technical efficiency” could be increased many-fold without taxing energy to raise its price. Of course it has, can, and will. But is technical efficiency enough? Owen asks us to consider whether a strategy centered on technical and regulatory measures to boost energy efficiency may be inherently unsuited for the herculean task of keeping coal and other fossil fuels safely locked in the ground.
I said earlier that Owen offers an escape from the Jevons paradox, and he does: “capping emissions or putting a price on carbon or increasing energy taxes.” It’s hardly a clarion call, and it’s not the straight carbon taxers’ line. But it’s a lifeline.
The veteran English economist Len Brookes told Owen:
When we talk about increasing energy efficiency, what we’re really talking about is increasing the productivity of energy. And, if you increase the productivity of anything, you have the effect of reducing its implicit price, because you get more return for the same money — which means the demand goes up.
The antidote to the Jevon paradox, then, is energy taxes. We can thank Owen not only for raising a critical, central question about energy efficiency, with potential ramifications for energy and climate policy, but for giving us a brief — an eloquent and powerful one — for a carbon tax.
Author’s present-day (Feb. 22, 2024) note: I overdid it somewhat in belittling energy efficiency’s impacts on U.S. energy use in that 2010 Grist post. Indeed, in posts here in 2016 and again in 2020 I quantified and enthused over improved EE’s role in stabilizing electricity demand and slashing that sector’s carbon emissions.
Carbon Footprint
Insetting vs Offsetting: Which Actually Counts Toward Your Scope 3 Targets
The accounting differences that decide whether your nature investment shows up in inventory, in BVCM, or nowhere at all.
The question reaches a procurement team about three weeks before the next sustainability committee meeting. Someone has read about insetting. Someone else has just signed off on an offset purchase. The CSO wants to know if the two are interchangeable. The answer is no, and the GHG Protocol Land Sector and Removals Standard is the reason why.
This article walks through what each term means at audit-grade specificity, what the standards actually say about how each gets counted, and how to decide which tool fits which target. The insetting vs offsetting question is one of the most-searched in corporate climate strategy, and one of the most poorly answered. By the end of this piece, you should be able to brief a committee on the difference without notes.
The two definitions, in plain English
Offsetting means buying carbon credits generated outside your value chain and retiring them against your residual emissions. The reduction happens somewhere else, financed by you, and the credit is the receipt.
Insetting means investing in emission reductions or removals inside your own value chain, typically with suppliers, where the reduction is directly linked to the products and services you buy. The reduction happens inside the boundary of your Scope 3 inventory, and the accounting treatment is fundamentally different.
The shorthand from the University of Oxford’s Nature-based Insetting Initiative is useful: insetting is what you do with the supply chain you have; offsetting is what you do with the supply chain you do not have.
What the GHG Protocol Land Sector Standard actually says
The GHG Protocol Land Sector and Removals Standard, finalised in 2024 after a multi-year pilot, sets the rules for how land-based emission reductions and removals enter corporate inventories. The Standard distinguishes between inventory accounting (Scope 1, 2, and 3) and project or intervention accounting (a separate methodology for crediting).
For insetting, the practical implication is that supplier-level interventions, when properly measured and attributed, can reduce your Scope 3 category 1 (purchased goods and services) emissions in your inventory. The reduction is not a credit retired against the inventory; it is a lower inventory number, period.
For offsetting, the credit is retired separately. It can be reported as a contribution toward a net-zero claim under the SBTi Beyond Value Chain Mitigation framework or as part of a VCMI Carbon Integrity claim, but it does not lower the inventory number.
A practical consequence: if your Science Based Target requires a 50% absolute reduction in Scope 3 emissions by 2030, insetting moves you toward the target. Offsetting does not. This single point of difference reshapes the procurement decision.
When insetting counts toward Scope 3 (and when it does not)
Insetting counts toward Scope 3 only when several conditions are met:
- The intervention must occur with an entity in your value chain.
- The emissions reduction or removal must be measured against a defensible baseline.
- The reduction must be attributed to your share of that supplier’s output, not double-counted with other buyers.
- It must follow the inventory accounting rules in the GHG Protocol Land Sector Standard, not the project accounting rules used to generate credits.
The most common failure mode is double counting. If your supplier sells the same reduction as a credit on the voluntary market and also reports it to you as a Scope 3 reduction, the math breaks. The Standard requires you to address this risk, typically by purchasing and retiring the supplier-issued credit as part of your inventory or by contractual provisions that prevent the supplier from selling the reduction twice.
When insetting does not count toward Scope 3: when the intervention sits with a supplier you do not buy from, when the baseline is not defensible, when the attribution is unclear, or when the documentation does not survive audit. Those cases default to Beyond Value Chain Mitigation, which is still useful but operates on a different ledger.
The procurement and supplier engagement question
Insetting is harder than offsetting. That is the unfashionable truth most buyers eventually confront. Offsetting is a transaction; insetting is a relationship.
To run an insetting program, you need supplier mapping precise enough to know which farms or facilities sit at which Scope 3 boundary. You need an engagement model that gets suppliers to participate, which usually requires multi-year commitments and shared economics. You need an MRV architecture that measures the right things and produces audit-ready documentation. And you need a contractual structure that prevents double counting and protects both sides.
The trade-off you receive in return is significant. Reductions count against your inventory rather than your residual. Supplier relationships deepen, which protects sourcing continuity. Yield and quality improvements often follow regenerative interventions, which reduces your input cost over time. And the regulatory file, under CSRD, CSDDD, EUDR, and the SBTi FLAG Guidance, is materially stronger.
Choosing the right tool for the right target
A practical decision rule. If your target is a science-based Scope 3 reduction and you operate in a FLAG sector or source FLAG commodities, insetting is the structurally correct tool. If your target is a net-zero claim that includes neutralising hard-to-abate residual emissions outside your value chain, BVCM via high-integrity offsets is the structurally correct tool. Most companies with material Scope 3 exposure need both, in different proportions, sequenced over time.
The sequencing matters. Insetting takes longer to stand up but produces a permanent reduction in the inventory. Offsetting can be transacted faster but does not change the inventory and now sits under tighter claim restrictions. Treat them as complementary tools with different jobs, not as substitutes. The Accountability Framework Initiative and the IUCN Global Standard for Nature-based Solutions both provide useful guardrails for the insetting side, with biodiversity, human rights, and benefit-sharing requirements that go beyond carbon math.
If you are mapping a Scope 3 reduction roadmap and need to scope which interventions count toward your inventory versus which sit in Beyond Value Chain Mitigation, the carbon and sustainability experts at Carbon Credit Capital can help you structure a nature-based supply chain investment program that fits your FLAG exposure, your target architecture, and your audit horizon. Schedule a consultation.
Carbon Footprint
Net zero needs nature: a carbon credit guide
Net zero is often described as a balancing act: cut what you can, account for the rest, and reach zero on the ledger. That framing is useful, but it leaves something out. It treats every tonne of carbon as interchangeable and every route to zero as equally sound, while the science tells a more specific story.
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Carbon Footprint
Deforestation in Malawi: causes and solutions
Malawi has lost a striking share of its forests over the past three decades. Woodlands that once covered well over a third of the country now cover less than a quarter, and the pressure on what remains is increasing. Behind those figures sit two practical questions: what is driving the loss, and what reverses it?
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