Where did UK science go?

Where did all the science go? Can ARPA bring it back.

-I suggest there will be no more big UK life science companies

-Network agglomeration effects are important

-An UK ARPA and its location should be placed carefully

-I suggest we need more innovation in institutions

 

Take $8.5 billion? No. Take $10 billion? No. Gilead, in 2017, bidding against itself, paid $11.9 billion to acquire Kite Pharmaceuticals.  I am sad because Kite may have developed into a $40bn, maybe $100bn, market capitalisation company over time, and now we will never know.

 

The same goes for the UK’s Shire. Takeda Pharmaceuticals completed its $59bn takeover in 2019.

 

Kite Pharmaceuticals is a small biopharmaceutical company focused on cancer therapies and CAR-T (chimeric antigen receptors T-Cell) technology. As of January 2017, Kite had a market capitalisation of $3bn and it had its IPO (initial public offering)  in 2014. Gilead had to raise its bid several times before Kite’s board succumbed. The boards and shareholders of smaller companies such as Kite and Shire are unlikely to be able to resist cashing out to dollar-rich, large drug makers. Gilead’s management indicated limited value was attributed to CAR-T success in solid tumors or Kite’s earlier stage technology.

 

This trend is intriguing as it suggests that the new creation of large biopharmaceutical companies organically from small ones may seldom happen again. Certainly, it seems unlikely that the UK will create another  bio-pharmaceutical powerhouse such as GlaxoSmithKline or AstraZeneca. Shire was the last likely candidate and now it has gone to Takeda. The US might still establish a new one.

 

I posit the reasons are threefold: the UK has under-invested and continues to under-invest in science and innovation; the network and agglomeration effect where scientists creatively clash to form new ideas is diminished in the UK as a whole, and, as I described earlier, large, cash-rich global biopharma companies are now in the habit of acquiring their smaller peers before they grow large.

 

This has negative long-term implications for UK science and private wealth creation. Private company inventions often rely on publicly-funded research ideas as the initial spark. Development is costly, risky and seemingly not well suited to publicly funded enterprise.

 

I’ve heard investors speak of the Chomsky trade, after Noam Chomsky, which suggest if you want to know what’s worth investing in, look at what US federal research funding organisations, like DARPA or the National Institutes of Health (NIH), are investing in today, and then go long.  

DARPA—the Defense Advanced Research Projects Agency— was established in the late 1950s to accelerate development of U.S. satellite technology. Research at DARPA led to a number of breakthroughs, including GPS technology and the Internet. The inventions at Kite were based on ideas first formed by Dr Steven Rosenberg at the NIH. Kite fits the Chomsky trade.

Sir John Bell recognised this value in his Life Sciences: Industrial Strategy report for the UK government (August 2017, green paper). Bell proposed an Health Advanced Research Programme (HARP) which looks to be modelled on the US DARPA, and suggested ideas to reinforce the UK science value proposition. Bell sees the NHS as a source of value particularly in the data sets that it owns on behalf of UK patients.  Bell suggests a strategic goal for the NHS to engage in 50 collaborative projects with the life science industry over the next five years ranging from late-stage clinical trials to large-scale data analysis and evaluation of medical technology and diagnostics. 

 

I can think of at least three large technology companies who could use health population data analytics to transform the UK health service. The UK has a unique and valuable healthcare data asset because of everyone’s singular NHS number. The majority of the UK population already gives away its data, if only we could be persuaded to use our data as a force for good.

 

This will be relevant in any discussion of a UK DARPA equivalent for energy as well.

 

“Ben, none of my neuroscience colleagues want to work in the UK. Not even Cambridge University and the like. Funding is 50% lower, salaries are 50% lower, there are many interesting labs in the US or China. We will not come to the UK,” one of the world’s leading neuroscientists under 40 years old told me. There are several cutting-edge science labs in the UK but post-graduates and professors, if they have a choice, are joining US labs; or increasingly settling in China.  The US government risks this innovation too with possible cuts to the NIH.


Scientists (in a now closed Pfizer lab) in Sandwich, UK, discovered that experimental heart drug UK92480 had a specific side effect on male subjects - plenty of erections. Viagra was born. Serendipity came into play, much like it did in 1928 when Alexander Fleming discovered penicillin as a result of mould falling on his petri dish.  Black Swan author, Nassim Taleb, has advocated for the need for randomness in drug discovery. As Google scientists have noted, creative ideas happen around ‘focused serendipity’. A network effect from sharing and debating new scientific ideas tends to happen round hubs and those hubs are in short supply in the UK. 

 

Arguably, Cambridge, and the South East of the UK, has a hub. A Cambridge-Oxford-London (with the EU drug regulator, EMEA, formerly in London) triangle has possibilities. Brexit has ended the London location of EMEA and Cambridge is still nothing like the huge biopharmaceutical hubs of Boston or California in the US. Senior management at Genentech mentioned to me that there are over 250 biotechs currently in the south San Francisco area alone. Research networks are important intangible assets for a country.  The lack of UK hubs, combined with the paucity of leading scientists and fewer occasions for serendipity, discourages the discovery, nurture and growth of fledgling biopharmaceutical companies. In economist speak it’s all about the agglomeration effect (or lack of) of networks.

 

In this regard UK Brexit is unhelpful. For all Brexiteers’ talk of trade, isolation dampens creative networks. More damaging is the time and energy spent on figuring out Brexit and its aftermath that could otherwise be spent working out how best to support and nurture UK science. Hopefully Bell's proposal will not be lost in the Brexit noise. There is also the cost of UK institutions losing EU funding, which is likely to be substantial. If the UK government materially increased funding in science  (perhaps using Bells' HARP modelled on the USA’s DARPA) this would be an investment for long-term gain, with the value felt over generations (penicillin, for example, was a 1920s discovery which we continue to benefit from.) This could be investment worth borrowing for.

 

Turning to using Brexit as a force for good, the UK government seems to be contemplating a UK version of ARPA. The UK Policy Exchange has argued “ARPA should focus on developing advanced technology on a 10-15 year horizon.  Unlocking transformative technologies, rather than basic research or incremental near-to-market innovation, is where ARPA’s efforts should be centred and ARPA must embrace failure.” One can argue whether these are easy words and how implementation of a culture that can learn from failure or understand how transformational research happens (it often relies on basic research and can also rely on combining inventions across fields in novel ways). Still, one aspect missing from this vision is any argument over place and agglomeration (the word agglomeration does not appear in the report). To this end, I would rely on the work of Tom Forth, Stian Westlake (co-author of Capitalism without Capital) and others to suggest that the geographic placement of ARPA to catalyse stronger innovation agglomeration effects is vital. ARPA will be too small in itself to catalyse a whole network, if it is placed far away from current networks (see also the Office for National Statistics’ move to Newport, far away from hubs), but if it is placed in the London triangle, an opportunity will be missed to strengthen networks outside of the South East. Losing much of the AstraZeneca science in the north of England over the last few years was a national calamity in this regard. 

 

I argue that an UK ARPA or,  even better, both an energy focused ARPA-E and a health based HARPA, would be powerful long-term investments for the UK to make. Politically, it would meet aims of “State Capacity Libertarians” and also innovation elements of “Green New Deal”. A focus on innovation and experimenting with novel research is to be recommended. Its geographic placement in order to benefit from and catalyse agglomeration effects should not be underestimated.

 

I further argue we must be much more experimental in types of institution, forms of institution and how institutions might spur innovation. Reading Colin Mayer’s Prosperity, and exploring economic historians’ work it seems we used to have more forms of institution, corporate bodies and people trying to achieve innovation through various organisations. Today we seem more ossified. Sure, we have ideas on charter cities and the like but shouldn’t there be more competing big ideas? Maybe there are and I am missing them. Still, I argue there should be many, many more.

 

Psychologists, such as Daniel Kahneman, show humans are often poor at making good long-term investment decisions. I am not confident the UK will invest sufficiently. There’s always still hope from serendipity. 

Follow Benjamin Yeoh, @benyeohben

His microgrants programme (£1k for positive impact) is open www.thendobetter.com/grants

 

References:

Policy Exchange: https://policyexchange.org.uk/wp-content/uploads/Visions-of-Arpa.pdf

@stianwestlake

@thomasforth

On State Capacity Libertarianism, see @tylercowen 

On Prosperity, Colin Mayer - blog here. Microsoft CEO recently noted this has reformed his view of business in capitalism and society.

Mission/Impact in private markets may have lower financial returns

-Paper suggests social/environmental impact VC/PE private market returns are lower than mainstream

-Results are different to public equity market ESG strategies.

There’s an ongoing debate in “impact investment” between those who argue impact or deep impact where you are gaining measured social and environmental return will typically not give market rate risk-adjusted financial returns (this tends to be in private equity or venture capital type investments).

Others argue that market rate risk adjusted financial returns are possible alongside measured social / environmental returns. (Let’s avoid the debate about ex-ante risk measurement for now).

Investors do differentiate between concessionary capital where below market rate returns or (partial) default is expected and commercial rate capital but argue over whether deep impact always has to be concessionary.

This differs from “Integrated ESG (Environment Social Governance)” techniques in public equity markets where in general the mass of studies (although not all) seem to show that integrated ESG - where material - leads to (or can lead to) better returns or at least not worse than the market average. (Note this differs from exclusionary strategies, which are now known as SRI - socially responsible investing - or ethical exclusions).

Measurement in private markets is harder, but this recent NBER paper suggests that private equity and VC which have explicit social  or impact objectives do return less than mainstream PE/VC funds. This would be evidence for those who argue that impact will return less in private markets. Debate goes on.

Barber, Brad M. and Morse, Adair and Yasuda, Ayako, Impact Investing (December 12, 2019). Available at SSRN: https://ssrn.com/abstract=2705556 or http://dx.doi.org/10.2139/ssrn.2705556

“We document that investors derive nonpecuniary utility from investing in dual-objective VC funds, thus sacrificing returns. Impact funds earn 4.7 percentage points (ppts) lower IRRs ex post than traditional VC funds. In random utility/willingness-to-pay (WTP) models investors accept 2.5-3.7 ppts lower IRRs ex ante for impact funds. The positive WTP result is robust to fund access rationing and investor heterogeneity in fund expected returns. Development organizations, foundations, financial institutions, public pensions, Europeans, and UNPRI signatories have high WTP. Investors with mission objectives and/or facing political pressure exhibit high WTP; those subject to legal restrictions (e.g., ERISA) exhibit low WTP.”

Blog on some ESG studies here.

Mark Carney argues that low carbon growth is possible

Mark Carney, Governor Bank Of England, argued that low carbon economic growth is possible. In further testimony he stresses the importance of transition, policy, transparency and risk management while commenting that intangible growth is still important growth.

De-Growth advocates argue decoupling carbon from economic growth is impossible (or extremely hard). Thus degrowth policies may be needed.

(I tend to not be in the de-growth camp, but do think some consumption eg food waste - is wasteful)

The arguments continue to be intense. There is some agreement that brown—>green transition is important regardless of growth stance. Central scenarios point to 3c warming in 2100. Stronger policy + innovation amplified by markets, corporate and consumer behaviour could bring those scenarios down. Complex tipping points, policy failures could swing other way.


Quality of Government matters more than size of government for human development, education and life expectancy

“...It’s not the size of the wave but the motion of the ocean…”

  • Quality of government (QGOV) seems more important than size of government (SGOV) for a variety of domains

  • QGOV is more important for peace, for human development, for health and for education 

  • This exploratory work extends the work of Ed Dolan (Niskanen Centre) and comes with many caveats due to interactions.

  • Outliers such as Singapore and Ireland may be worth closer examination for what is working well in smaller governments 

  • QGOV may have increasing importance at higher levels of development 

  • This may provide exploratory evidence that “state capacity” in certain domains eg innovation, health and education - might be important. This adds to the debate on “state capacity libertarianism” and in terms of current UK policy may inform on whether investing in an “ARPA organisation” or other areas of state capacity is a positive return on investment.

Background 

Economist Tyler Cowen posited a notion of State Capacity Libertarianism. Cowen subsequently linked to a blog referencing the work of Ed Dolan.

The work (2017) developed two scores - QGOV for quality of government and SGOV for size of government.  Dolan analysed two measures of freedom and prosperity the Legatum Prosperity Index and the Cato Human Freedom Index and concluded - with several caveats due to interactions and unknown causality- that QGOV was more important than SGOV. See his work for definitions of SGOV and QGOV.

Idea 

I was intrigued if this work extended to other areas that I am interested in both personally and professionally. (I help allocate $13bn in pension fund and other investments in global equities with an interest in healthcare). 

I chose to look at: 

  • -Peace

  • -Human Development 

  • -Life Expectancy (as broad measure for health)

  • -Education 

As measured by other organisations.

Methods 

I hand inputted data on:

  • SGOV, QGOV, 

  • Human Development Index (UN HDI)

  • Education Index (EDI, as component of HDI)

  • Life expectancy Index (as component of HDI)

  • Peace index (as calculated by non-profit Vision of Humanity)

(Sources at end, errors possible)

I ran scatter plots and Pearson correlations. I tagged for World Bank classifications of income, and by geographic region.

Results 

QGOV vs Peace

QGOV vs Peace.png

Correlation = (-) 0.71 | R2 = 0.5

Higher quality of government had a 0.7 correlation with the Peace Index (where lower score = more peace)

An interactive version of this data, where you can also view by income level (use drop down box) and geography (click circle legend labels) is below. The trend holds for all levels of income.

SGOV vs Peace

Correlation =  0.32 | R2 = 0.1

Size of government had a weaker 0.3 correlation with the Peace Index (where lower score = more peace)

SGOV vs Peace Index.png

The overall correlation is weaker and also suggestive that large governments correlate slightly with the peace index.

An interactive version of this data, where you can also view by income level (use drop down box) and geography (click circle legend labels) is below. Different income levels change the trend line, upper middle level countries inverting - suggesting smaller govts here are better for peace but only weakly.

Geography also changes the trend, with Latin America countries suggesting smaller very weakly trending. It’s weak enough maybe to be considered almost no trend though.

My overall takeaway is that the trend is weak vs QGOV but it is intriguing that income levels change the pattern as do geography.

Peace comment 

As often there are intersections on what components might go into peace. Experts may disagree as to the validity of this index for peace however the methodology is clear and it has some support. 

I find it interesting as it is another lens to judge human “progress” on and therefore what types of government might best foster progress.

QGOV vs HDI, Human Development Index

Correlation =  0.75 | R2 = 0.57

Quality of government has a 0.75 correlation with the Human Develpment Index where larger HDI = more developed.  

QGOV vs Human Development Index.png

It looks to me that the slope is stronger in more developed nations. Gently sloping until about 0.75 on HDI, and then steeper.

An interactive version of this data, where you can also view by income level (use drop down box) and geography (click circle legend labels) is below. You can observe this as the slope is stronger for the richer nations (and a measure of GNP is included within the HDI) but it is the same direcction for all incomes, slightly weak for middle.

SGOV and HDI

Correlation =  -0.53 | R2 = 0.28

Size of government has a -0.5 correlation with the Human Develpment Index (where larger HDI = more developed) suggesting larger governments are moderately better than small governments with some notable outliers such as Singapore, South Korea and to some extent Ireland, and Switerland.

SGOV vs HDI.png

An interactive version of this data, where you can also view by income level (use drop down box) and geography (click circle legend labels) is below.

The trends are weaker split by income level, with there almost no trend in high income and upper-middle income.

I now present the components for life expectancy and education (that go into the HDI seperately).

QGOV vs EDI

QGOV vs Education Index.png
SGOV vs Education Index.png
QGOV vs. Life exp (1).png
SGOV vs. Life exp.png

Comments on EDI, Life expectancy; observations and arguments for state capacity.

Given the weighting in the HDI that life expectancy has, it is unsurprising that QGOV also correlates better than SGOV for life expectancy. 

While there are social and cultural determinants of health of which government would only be a component, I argue that it is still noteworthy that it is not size but quality of government here that seems to count.

Again given the weighting in the HDI for Education, it is again unsurprising that QGOV correlates better than SGOV.

Of note, Chile and Kazakhstan appear on education and to some extent life expectancy as higher perfomer small government countries to join Singapore and Ireland, Switerland.

I chose to examine education and health because in many countries there is on going debate as to the structure and capacity that governments should play in health and education markets. 

This line of argument would suggest where countries do wish their governments to be involved then quality of that government or perhaps “state capacity” could be an important factor. 

This is noteworthy in the UK where there is wide support for a National Health service across the political divide and also for state funded education providing the majority of the populations education. 

Two other tentative observations. It is worth dwelling on where small governments seem to be doing well. I would note Singapore and South Korea and perhaps to an extent Ireland and Switerland. Those countries would be good examples of small, high quality goverments. 

My own theory here is also the importance of social and cultural determinants of health and education. 

For instance, it is unknown what the compliance rate for medications are in various countries. A higher drug medication compliance of cost effective genetic medications in Singapore (arguable driven by a social factor of listening to your doctor properly?!) or of the positive/negative health outcomes of effective elderly social care across countries are mostly unknown. 

A second observation is the seemingly stronger slope in the high HDI nations. There may be many explanations for this and all the caveats expressed by Dolan also apply but it might be an intriguing provocation that quality of government becomes even more important in extending the progress of already highly developed countries. 

Caveat

As Dolan notes there is considerable interation between SGOV and QGOV as larger governments have a tendency to be of better quality, but Dolan runs multiple regressions here:

“…simple correlations like this need to be interpreted with caution, as there are complex intercorrelations among multiple variables. In this case, we have a correlation of -0.42 between SGOV and QGov, that is, a tendency for larger governments to have a higher index of quality. We also have a correlation of 0.74 between QGOV and the log of GDP per capita (richer countries have higher-quality governments) and -0.48 between SGOV and the log of GDP per capita (richer countries have relatively larger governments).

Dolan can run multiple regressions which I do not have the capcity for, but Dolan concludes:

We can use multiple regression to untangle these interactions, using HFI* as the independent variable and using QGOV, SGOV, and the log of GDP per capita as the dependent variables. When we do so, we get a strongly statistically significant positive coefficient on QGOV and no statistically significant relationship at the 0.01 confidence level for the other two variables. The overall correlation is 0.79, essentially the same as for the two-variable relationship shown in the left-hand scatter plot above…”

I suspect multiple regressions would confirm similar and hope a profesional academic might look into this

Conclusion

I tentatively extend the work of Dolan on the size of government and quality of government to look at four further broad indices of 1) peace, 2)  human development, 3) education and 4) life expectancy. 

In all four cases, quality of government seems to be a more important factor than the size of government. This would be tentative evidence for theories that emphasise the importance of quality - perhaps state capacity - over the size of the state, where societies favour a state role in any given area. 






Notes and Caveats 

Data sheet link available on request. It’s not very tidy but all in good faith. Image below. I may have made errors in the data, as it’s my late night pet -project.

Do read the Ed Dolan Caveats in his blog but repeated here.

“...As in any statistical study, we should be cautious about drawing conclusions about causation. There is nothing in these results to suggest that making a country’s government bigger will automatically make it better. At the same time, it is hard to deny that there is a strong tendency in the cross-country data for larger governments to be better governments, when by “better,” we mean better able to protect property rights, better able to offer impartial civil and criminal justice, and less open to corrupt influences.

Readers are also encouraged to think about the country-by-country data reported in the chart and table above. There is a lot of variety in the world. Too strong a focus either on statistical regularities or on selected outliers can draw us too strongly toward conclusions that, in reality, admit of many exceptions.

For example, the small-government city states of Singapore [is]  rightly admired for [its] prosperity and economic freedoms. However, it gives one pause to note how many small-government countries enjoy neither. Chad, Bangladesh, and the Democratic Republic of Congo  are just the outliers among a whole cluster of countries in that category.

Similarly, a look at individual countries shows that our statistical indicators of “big” and “small,” or of “good” and “bad,” do not always line up with what we mean by these terms in other contexts. For example, many people in the West would readily name Russia and China as countries with governments that are conspicuously both big and bad. Yet, although Russia and China do fall into the southwest quadrant of our chart, they do so only barely. Statistically speaking, neither country is an outlier on either variable…]

Ed Dolan’s two part blog on SGOV and QGOV. 

Peace Index can be found here: http://visionofhumanity.org/indexes/global-peace-index/

Human Development Index and components (both the education and life expectancy - I use 2018 data - ) can be seen here: http://hdr.undp.org/en/data

World Bank Classificatinos are from 2016 (as the 2018 xls wasnt’ working when I compiled the data). The Visuals are H/T Flourish Studios and Google Sheets.

Tyler Cowen on State Capacity Libertarianism 

The Table of data I used is below.

Oil CEOs meet to look at targeting carbon scope 3

Bloomberg reports energy CEOs discuss carbon “scope 3” targets. This could be a pivotal change…

“... Targeting Scope 3 emissions would be a big shift for an industry that produces the bulk of the world’s planet-warming emissions, once that could eventually require them to sell far less oil and gas....”

and

“... The talks between the chief executive officers of companies including Royal Dutch Shell Plc, Chevron Corp., Total SA, Saudi Aramco, Equinor ASA and BP Plc showed general agreement on the need to move toward this broader definition, known as Scope 3, the people said, asking not to be named because the session was closed to the press. The executives didn’t take any final decisions....”

Climate, cognitive strengths of Greta, Bill Gates, Chris Hohn

What do the cognitive strengths of Bill Gates, billionaire hedge fund manager, Chris Hohn and Greta Thunberg have in common? You may know they are all in their various ways committing to climate change solutions - they also bear many of the positive cognitive strengths of the autistic spectrum. Those positives are worth noting in the narrative about what autism can be.

This Bloomberg article looks at the climate activism Hohn’s hedge fund is now engaging in.

Thinking about the framework that intellectual and economist Albert Hirschman suggested

Voice, Exit and Loyalty

And the on-going debates between divestment and engagement (and I do both, but think engagement can be more effective), I am glad all three are using Voice too.


Bloomberg article on Chris Hohn here being a “climate radical” (IMHO, he has been involved here for ages (as you can see through his foundation), although maybe only more recently stepped up stronger actions).

My observations on the Bill documentary, which support views that Bill Gates has autistic thinking strengths.

The wiki on Exit, Voice, Loyalty