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01 / 05
The Man Behind the Hong Kong Miracle

Blog Post | Economic Growth

The Man Behind the Hong Kong Miracle

The success of Hong Kong's experiment with small government was undeniable.

I have just finished reading Neil Monnery’s new book, Architect of Prosperity: Sir John Cowperthwaite and the Making of Hong Kong. This fascinating account of the rise of Hong Kong as a global economic powerhouse is well written and, as such, easy to read and understand. I’m happy to recommend it wholeheartedly to CapX’s discerning readership. 

I first became interested in the story of Hong Kong in the late 1990s. The emotional handover of the colony from the United Kingdom to China, for example, is deeply impressed on my memory. But also, as part of my doctoral research at the University of St Andrews, I read a number of essays about the rise of Hong Kong written by the Nobel Prize-winning economist Milton Friedman. Friedman, an advocate of the free market and small government, believed that individuals, when left unmolested, will strive to improve their lives and those of their families. Prosperity will follow. 

His was similar to Adam Smith’s insight: 

Little else is requisite to carry a state to the highest degree of opulence from the lowest barbarism, but peace, easy taxes, and a tolerable administration of justice; all the rest being brought about by the natural course of things. All governments which thwart this natural course, which force things into another channel, or which endeavor to arrest the progress of society at a particular point, are unnatural, and to support themselves are obliged to be oppressive and tyrannical. 

No country in modern history has come as close to Smith’s ideal as Hong Kong. The territory that the British Foreign Secretary Viscount Palmerston described as “a barren island with hardly a house upon it” was once very poor. In the immediate aftermath of World War II and Japanese occupation, its per capita income was about a third of that in the United Kingdom. 

By the time British colonial rule ended, Hong Kong was 10 per cent richer than the mother country. Last year, the former colony was 37 per cent richer than the UK. It is, therefore, apposite that the man credited with Hong Kong’s success should be a Scottish civil servant, a University of St Andrews alumnus, and a devotee of Adam Smith: Sir John Cowperthwaite. 

As Monnery explains, Cowperthwaite was not the first small government advocate to oversee the colony’s economy and finances. A succession of colonial governors and their financial secretaries ran a shoe string government. But, they did so out of financial necessity, rather than deep ideological commitment to small government. 

As Financial Secretaries, Geoffrey Fellows (1945-1951) and Arthur Clarke (1951-1961) established a regime of low taxes and budgetary surpluses, and free flow of good and capital. To those foundations, Cowperthwaite (1961-1971) added not only the vigor of his convictions, but also a handpicked successor, Philip Haddon-Cave (1971-1981). By the time Haddon-Cave departed, the success of Hong Kong’s experiment with small government was undeniable not only to the British, but also to the Chinese. Margaret Thatcher embarked on her journey to dismantle British socialism in 1979, while Deng Xiaoping started undoing the damage caused by Chinese communism in 1978.

And that brings me to the most important reason why Cowperthwaite, rather than Fellows and Clarke, deserve to be credited with the rise of Hong Kong. Basically, he was the right man at the right place in the right time – the 1960s. It was all well and good to run a small government when the colony was still poor. By the 1960s, however, the colony was prospering and demands for higher government spending (as a proportion of GDP) were increasing. As an aside, the government’s nominal spending increased each year in tandem with economic growth. To make matters much worse, socialism, be it in its Soviet form (i.e., central planning) or in its more benign British form (state ownership of the commanding heights of the economy) was ascendant. 

In fact, just before departing from Hong Kong, Clarke appears to have had a sudden crisis of confidence in the colony’s economic model, noting:

We have, I think, come to a turning point in our financial history … There seem to be two courses we can follow. We can carry on as we are doing … Or we can do something to plan our economy … Which course should we adopt? 

Mercifully, Cowperthwaite was able to articulate the reasons for staying the course. In his early budget debates, he noted: 

I now come to the more general and far-reaching suggestion made by Mr Barton and Mr Knowles, that is, the need to plan our economic future and in particular, the desirability of a five-year plan. I would like to say a few words about some of the principles involved in the question of planning the overall economic development of the colony.

I must, I am afraid, begin by expressing my deep-seated dislike and distrust of anything of this sort in Hong Kong. Official opposition to overall economic planning and planning controls has been characterised in a recent editorial as ‘Papa knows best.’ But it is precisely because Papa does not know best that I believe that Government should not presume to tell any businessman or industrialist what he should or should not do, far less what he may or may not do; and no matter how it may be dressed up that is what planning is. 

And: 

An economy can be planned, I will not say how effectively, when there unused resources and a finite, captive, domestic market, that is, when there is a possibility of control of both production and consumption, of both supply and demand. These are not our circumstances; control of these factors lies outside our borders. For us a multiplicity of individual decisions by businessmen and industrialists will still, I am convinced, produce a better and wiser result than a single decision by a Government or by a board with its inevitably limited knowledge of the myriad factors involved, and its inflexibility.

Over a wide field of our economy it is still the better course to rely on the nineteenth century’s ‘hidden hand’ than to thrust clumsy bureaucratic fingers into its sensitive mechanism. In particular, we cannot afford to damage its mainspring, freedom of competitive enterprise.

It is not clear whether Cowperthwaite ever read Friedrich Hayek’s 1945 essay, “The Use of Knowledge in Society”, which posits that allocation “of scarce resources requires knowledge dispersed among many people, with no individual or group of experts capable of acquiring it all”, or whether he came to the same conclusions as the Austrian Nobel Prize-winning economist on his own. But, even if he were consciously or sub-consciously influenced by Hayek, it speaks much of Cowperthwaite “the thinker” that he took Hayek’s insights to heart, unlike so many decision-makers around the world, who succumbed to the Siren calls of socialism. 

And so it was with considerable amazement that, towards the end of my first year at St Andrews, I discovered Cowperthwaite and I were neighbors. His house on 25 South Street was a few hundred feet away from Deans Court, the University’s post-graduate student residence. I immediately wrote to him and he responded, asking me to come for tea. I spent a wonderful afternoon in his presence and kept in touch with him during my remaining time at St Andrews. 

Last time I saw him, he came to the launch of the libertarian student magazine Catallaxy, which my friend, Alex Singleton, and I wrote together. As he took his leave, I saw him walk down Market Street and got a distinct feeling that it would be for the last time. Shortly after I graduated and moved to Washington. A new life and new job took precedence and St Andrews slowly receded down memory lane. 

Neil Monnery’s book made those wonderful memories come alive again. His work has immortalized a man to whom so many owe so much. Architect of Prosperity is an economic and intellectual history. Above all, it is a tribute to a principled, self-effacing, consequential and deeply moral man. Monnery deserves our gratitude for writing it.

This first appeared in CapX.

Blog Post | Energy & Natural Resources

The Simon Abundance Index 2024

The Earth was 509.4 percent more abundant in 2023 than it was in 1980.

The Simon Abundance Index (SAI) quantifies and measures the relationship between resources and population. The SAI converts the relative abundance of 50 basic commodities and the global population into a single value. The index started in 1980 with a base value of 100. In 2023, the SAI stood at 609.4, indicating that resources have become 509.4 percent more abundant over the past 43 years. All 50 commodities were more abundant in 2023 than in 1980.

Figure 1: The Simon Abundance Index: 1980–2023 (1980 = 100)

The SAI is based on the ideas of University of Maryland economist and Cato Institute senior fellow Julian Simon, who pioneered research on and analysis of the relationship between population growth and resource abundance. If resources are finite, Simon’s opponents argued, then an increase in population should lead to higher prices and scarcity. Yet Simon discovered through exhaustive research over many years that the opposite was true. As the global population increased, virtually all resources became more abundant. How is that possible?

Simon recognized that raw materials without the knowledge of how to use them have no economic value. It is knowledge that transforms raw materials into resources, and new knowledge is potentially limitless. Simon also understood that it is only human beings who discover and create knowledge. Therefore, resources can grow infinitely and indefinitely. In fact, human beings are the ultimate resource.

Visualizing the Change

Resource abundance can be measured at both the personal level and the population level. We can use a pizza analogy to understand how that works. Personal-level abundance measures the size of an individual pizza slice. Population-level abundance measures the size of the entire pizza pie. The pizza pie can get larger in two ways: the slices can get larger, or the number of slices can increase. Both can happen at the same time.

Growth in resource abundance can be illustrated by comparing two box charts. Create the first chart, representing the population on the horizontal axis and personal resource abundance on the vertical axis. Draw a yellow square to represent the start year of 1980. Index both population and personal resource abundance to a value of one. Then draw a second chart for the end year of 2023. Use blue to distinguish this second chart. Scale it horizontally for the growth in population and vertically for the growth in personal resource abundance from 1980. Finally, overlay the yellow start-year chart on the blue end-year chart to see the difference in resource abundance between 1980 and 2023.

Figure 2: Visualization of the Relationship between Global Population Growth and Personal Resource Abundance of the 50 Basic Commodities (1980–2023)

Between 1980 and 2023, the average time price of the 50 basic commodities fell by 70.4 percent. For the time required to earn the money to buy one unit of this commodity basket in 1980, you would get 3.38 units in 2023. Consequently, the height of the vertical personal resource abundance axis in the blue box has risen to 3.38. Moreover, during this 43-year period, the world’s population grew by 3.6 billion, from 4.4 billion to over 8 billion, indicating an 80.2 percent increase. As such, the width of the blue box on the horizontal axis has expanded to 1.802. The size of the blue box, therefore, has grown to 3.38 by 1.802, or 6.094 (see the middle box in Figure 2).

As the box on the right shows, personal resource abundance grew by 238 percent; the population grew by 80.2 percent. The yellow start box has a size of 1.0, while the blue end box has a size of 6.094. That represents a 509.4 percent increase in population-level resource abundance. Population-level resource abundance grew at a compound annual rate of 4.3 percent over this 43-year period. Also note that every 1-percentage-point increase in population corresponded to a 6.35-percentage-point increase in population-level resource abundance (509.4 ÷ 80.2 = 6.35).

Individual Commodity Changes: 1980–2023

As noted, the average time price of the 50 basic commodities fell by 70.4 percent between 1980 and 2023. As such, the 50 commodities became 238.1 percent more abundant (on average). Lamb grew most abundant (675.1 percent), while the abundance of coal grew the least (30.7 percent).

Figure 3: Individual Commodities, Percentage Change in Time Price and Percentage Change in Abundance: 1980–2023

Individual Commodity Changes: 2022–2023

The SAI increased from a value of 520.1 in 2022 to 609.4 in 2023, indicating a 17.1 percent increase. Over those 12 months, 37 of the 50 commodities in the data set increased in abundance, while 13 decreased in abundance. Abundance ranged from a 220.8 percent increase for natural gas in Europe to a 38.9 percent decrease for oranges.

Figure 4: Individual Commodities, Percentage Change in Abundance: 2022–2023

Conclusion

After a sharp downturn between 2021 and 2022, which was caused by the COVID-19 pandemic, government lockdowns and accompanying monetary expansion, and the Russian invasion of Ukraine, the SAI is making a strong recovery. As noted, since 1980 resource abundance has been increasing at a much faster rate than population. We call that relationship superabundance. We explore this topic in our book Superabundance: The Story of Population Growth, Innovation, and Human Flourishing on an Infinitely Bountiful Planet.

Appendix A: Alternative Figure 1 with a Regression Line, Equation, R-Square, and Population

Appendix B: The Basic 50 Commodities Analysis: 1980–2023

Appendix C: Why Time Is Better Than Money for Measuring Resource Abundance

To better understand changes in our standard of living, we must move from thinking in quantities to thinking in prices. While the quantities of a resource are important, economists think in prices. This is because prices contain more information than quantities. Prices indicate if a product is becoming more or less abundant.

But prices can be distorted by inflation. Economists attempt to adjust for inflation by converting a current or nominal price into a real or constant price. This process can be subjective and contentious, however. To overcome such problems, we use time prices. What is most important to consider is how much time it takes to earn the money to buy a product. A time price is simply the nominal money price divided by the nominal hourly income. Money prices are expressed in dollars and cents, while time prices are expressed in hours and minutes. There are six reasons time is a better way than money to measure prices.

First, time prices contain more information than money prices do. Since innovation lowers prices and increases wages, time prices more fully capture the benefits of valuable new knowledge and the growth in human capital. To just look at prices without also looking at wages tells only half the story. Time prices make it easier to see the whole picture.

Second, time prices transcend the complications associated with converting nominal prices to real prices. Time prices avoid subjective and disputed adjustments such as the Consumer Price Index (CPI), the GDP Deflator or Implicit Price Deflator (IPD), the Personal Consumption Expenditures price index (PCE), and the Purchasing Power Parity (PPP). Time prices use the nominal price and the nominal hourly income at each point in time, so inflation adjustments are not necessary.

Third, time prices can be calculated on any product with any currency at any time and in any place. This means you can compare the time price of bread in France in 1850 to the time price of bread in New York in 2023. Analysts are also free to select from a variety of hourly income rates to use as the denominator when calculating time prices.

Fourth, time is an objective and universal constant. As the American economist George Gilder has noted, the International System of Units (SI) has established seven key metrics, of which six are bounded in one way or another by the passage of time. As the only irreversible element in the universe, with directionality imparted by thermodynamic entropy, time is the ultimate frame of reference for almost all measured values.

Fifth, time cannot be inflated or counterfeited. It is both fixed and continuous.

Sixth, we have perfect equality of time with exactly 24 hours in a day. As such, we should be comparing time inequality, not income inequality. When we measure differences in time inequality instead of income inequality, we get an even more positive view of the global standards of living.

These six reasons make using time prices superior to using money prices for measuring resource abundance. Time prices are elegant, intuitive, and simple. They are the true prices we pay for the things we buy.

The World Bank and the International Monetary Fund (IMF) track and report nominal prices on a wide variety of basic commodities. Analysts can use any hourly wage rate series as the denominator to calculate the time price. For the SAI, we created a proxy for global hourly income by using data from the World Bank and the Conference Board to calculate nominal GDP per hour worked.

With this data, we calculated the time prices for all 50 of the basic commodities for each year and then compared the change in time prices over time. If time prices are decreasing, personal resource abundance is increasing. For example, if a resource’s time price decreases by 50 percent, then for the same amount of time you get twice as much, or 100 percent more. The abundance of that resource has doubled. Or, to use the pizza analogy, an individual slice is twice as large. If the population increases by 25 percent over the same period, there will be 25 percent more slices. The pizza pie will thus be 150 percent larger [(2.0 x 1.25) – 1].

Board of Governors of the Federal Reserve System | Economic Growth

Income Growth Over Five Generations of Americans

“We find that each of the past four generations of Americans was better off than the previous one, using a post-tax, post-transfer income measure constructed annually from 1963-2022 based on the Current Population Survey Annual Social and Economic Supplement.”

From Board of Governors of the Federal Reserve System.

Blog Post | Human Development

1,000 Bits of Good News You May Have Missed in 2023

A necessary balance to the torrent of negativity.

Reading the news can leave you depressed and misinformed. It’s partisan, shallow, and, above all, hopelessly negative. As Steven Pinker from Harvard University quipped, “The news is a nonrandom sample of the worst events happening on the planet on a given day.”

So, why does Human Progress feature so many news items? And why did I compile them in this giant list? Here are a few reasons:

  • Negative headlines get more clicks. Promoting positive stories provides a necessary balance to the torrent of negativity.
  • Statistics are vital to a proper understanding of the world, but many find anecdotes more compelling.
  • Many people acknowledge humanity’s progress compared to the past but remain unreasonably pessimistic about the present—not to mention the future. Positive news can help improve their state of mind.
  • We have agency to make the world better. It is appropriate to recognize and be grateful for those who do.

Below is a nonrandom sample (n = ~1000) of positive news we collected this year, separated by topic area. Please scroll, skim, and click. Or—to be even more enlightened—read this blog post and then look through our collection of long-term trends and datasets.

Agriculture

Aquaculture

Farming robots and drones

Food abundance

Genetic modification

Indoor farming

Lab-grown produce

Pollination

Other innovations

Conservation and Biodiversity

Big cats

Birds

Turtles

Whales

Other comebacks

Forests

Reefs

Rivers and lakes

Surveillance and discovery

Rewilding and conservation

De-extinction

Culture and tolerance

Gender equality

General wellbeing

LGBT

Treatment of animals

Energy and natural Resources

Fission

Fusion

Fossil fuels

Other energy

Recycling and resource efficiency

Resource abundance

Environment and pollution

Climate change

Disaster resilience

Air pollution

Water pollution

Growth and development

Education

Economic growth

Housing and urbanization

Labor and employment

Health

Cancer

Disability and assistive technology

Dementia and Alzheimer’s

Diabetes

Heart disease and stroke

Other non-communicable diseases

HIV/AIDS

Malaria

Other communicable diseases

Maternal care

Fertility and birth control

Mental health and addiction

Weight and nutrition

Longevity and mortality 

Surgery and emergency medicine

Measurement and imaging

Health systems

Other innovations

Freedom

    Technology 

    Artificial intelligence

    Communications

    Computing

    Construction and manufacturing

    Drones

    Robotics and automation

    Autonomous vehicles

    Transportation

    Other innovations

    Science

    AI in science

    Biology

    Chemistry and materials

      Physics

      Space

      Violence

      Crime

      War