Losing the farm(s): Census data on the number of farms in Canada

Graph of the number of farms in Canada, Census years, 1911 to 2016
Number of farms in Canada, Census years, 1911 to 2016

Statistics Canada conducts its Census of Agriculture every five years.  Data from the 2016 Census was just released.  It shows that the number of farms in Canada continues to decline at an alarming rate.

The graph above shows the number of farms operating in Canada in each of the Census years from 1911 to 2016.  Over the past 30 years—1986 to 2016—Canada lost one-third of its farm families.  A generation ago there were just under 300,000 farms in Canada; today there are just under 200,000.

The continuing loss of farms and farmers damages Canadian food security and food sovereignty, our capacity to produce local food, our ability to adapt to climate change, and our prospects for building environmentally sustainable food systems.  It also has negative effect on employment and rural economic development.

But there is another consideration, one that should interest every Canadian: the number of farms in Canada was reduced by one-third during a thirty-year period when taxpayer-funded transfers to farmers, in the form of farm-support programs, totaled more than 100 billion dollars.  (All figures are adjusted for inflation.)  The public policies and taxpayer dollars that Canadians understand as helping “save the family farm” are having no such effect.

This failure of farm-support programs to stabilize the number of farms can be traced to two factors.  First, such programs lack appropriate payment caps. Caps on total annual payments of $200,000 to $300,000 per farm could slow farm-size expansion and the attendant loss of farms.  But payments under AgriStability—Canada’s primary income stabilization and support program—are capped at $3 million per farm per year.

Second, our agricultural policies do nothing to challenge the pathology underlying the farm income crisis: wealth extraction by agribusiness.  As noted in a previous blog, over the past 30 years agribusiness has made off with 98 percent of farmers’ revenues.  From some perspectives, farm-support programs can be seen as fulfilling an enabling role: keeping farm families solvent so that powerful corporations can bleed off wealth.

This is not an argument against farm support payments—vital crop insurance and income-stabilization programs.  But it is a suggestion that farmers, citizens, and governments should all look critically at the real-world effects of these programs and the tens-of-billions of taxpayers’ dollars these programs consume.  All citizens have an interest in maximizing the number of farm families on the land.  By that measure, our agricultural policies and programs are failing miserably.  Canada’s family farms are disappearing.

Graph sources:  Statistics Canada, Census of Agriculture, various years; and F.H. Leacy, M.C. Urquhart, and K.A.H. Buckley, eds., Historical statistics of Canada (Ottawa: Statistics Canada and the Social Science Federation of Canada, 1983)

Our civilizational predicament: Doubling economic activity and energy use while cutting emissions by half

Graph of Global economic activity, energy use, and greenhouse gas emissions, 1CE to 2015CE.
Global economic activity, energy use, and carbon dioxide emissions, 1CE to 2015CE.

My friends sometimes suggest that I’m too pessimistic.  I’m not.  Rather, I’d suggest that everyone else is too optimistic.  Or, more precisely, I live in a society where people are discouraged from thinking rigorously about our predicament.  The graph above sets out our civilizational predicament, and it hints at the massive scale of the transformation that climate change requires us to accomplish in the coming decade or two.

The main point of the graph above is this: Long-term data shows that the size and speed of our global mega-civilization is precisely correlated with energy use, and energy use is precisely correlated with greenhouse gas emissions.  We have multiplied the size of our global economy and our living standards by using more energy, and this increased energy use has led us to emit more carbon dioxide and other greenhouse gases.

The graph plots three key civilizational metrics: economic activity, energy use, and carbon dioxide (CO2) emissions.  The graph covers the past 2015 years, the period from 1 CE (aka 1 AD) to 2015 CE.  The blue line depicts the size of the global economy.  The units are trillions of US dollars, adjusted for inflation.  The green diamond-shaped markers show global energy use, with all energy converted to a common measure: barrels of oil equivalent.  And the red circles show global CO2 emissions, in terms of tonnes of carbon.

Though it is seldom stated explicitly, most government and business leaders and most citizens are proceeding under the assumption that the economic growth line in the graph can continue to spike upward.  This will require the energy line to also climb skyward.  But our leaders are suggesting that the emissions line can be wrenched downward.  When people are “optimistic” about climate change, they are optimistic about doing something that has never been done before: maintaining the upward arc of the economic and energy trendlines, but somehow unhooking the emissions trendline and bending it downward, toward zero.  I worry that this will be very hard.  Most important, it will be impossibly hard unless we are realistic about what we are trying to do, and about the challenges and disruptions ahead.

We must not despair, but neither should we permit ourselves unfounded optimism.  There is a line from a great movie—the Cohen Brother’s “Miller’s Crossing”—in which the lead character, a gangster played by Gabriel Byrne, says “I’d worry a lot less if I thought you were worrying enough.”

Graph sources: GDP: Angus Maddison, The World Economy, Volume 1: A Millennial Perspective (Paris: Organization for Economic Co-operation and Development, 2001)

GHGs: Boden, T.A., Marland, G., and Andres R.J., “Global, Regional, and National Fossil-Fuel CO2 Emissions,” Carbon Dioxide Information Analysis Center (CDIAC), Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., U.S.A.

Energy consumption: Vaclav Smil, Energy in Nature and Society: General Energetics of Complex Systems (Cambridge, MA: The MIT Press, 2008); British Petroleum, BP Statistical Review of World Energy: June 2016 (London: British Petroleum, 2016); pre-1500 energy levels estimated by the author based on data in Smil.

Deindustrialization: Or, what are half-a-billion Canadians and Americans going to do for a living?

Graph of United States Gross Domestic Product, by sector, 1947 to 2016, highlighting deindustrialization
United States Gross Domestic Product, by sector, 1947 to 2016

Canada and the US continue to undergo rapid deindustrialization.  Our economies are increasingly service-based, and that should worry us.

The graph above looks complicated, but the key idea is contained in two trends.  And both are negative.  First, note the declining contribution manufacturing is making to United States (US) Gross Domestic Product (GDP).  The red, dotted line shows manufacturing’s percentage contribution.

Manufacturing now makes up just 12 percent of US GDP, and less than 10 percent in Canada.  The decline of manufacturing is even more evident when we look at employment rather than GDP.  According to the US Bureau of Labor Statistics, goods-producing industries (manufacturing, mining, construction, agriculture, etc.) now employ roughly 15 percent of America’s working population.  Nearly 85 percent are employed in the service sector.  The situation is similar in Canada.  According to Statistics Canada data , approximately 77 percent of Canadian workers are employed in the service sector, and this percentage continues to rise.  Both nations continue to deindustrialize.

Second, note the rise in the importance of three service sectors: 1. Finance, insurance, real estate, and rentals (the broad blue line); 2. Professional and business services (green line); and 3. Education and healthcare (red line). A US economy built upon General Motors, General Electric, and U.S. Steel has given way to one built upon JPMorgan Chase, Walmart, and UnitedHealth Group.

Note, especially, the blue line: finance and real estate.  With the 2008 financial crisis still fresh in our minds, and its effects still resonating through global economies, it should worry North Americans that banking and real estate have replaced manufacturing as the one of the largest economic sectors.

Manufacturing is declining, our energy sectors may have to contract as we deal with climate change, most North American fisheries have been depleted and agriculture seems to need fewer farmers and workers each year, low-wage nations continue to claim Canadian and American jobs, and we’re told that the robots are coming.  By mid-century there will be more than 450 million people living in Canada and the US.  Every politician in every party and every engaged citizen should be asking the same question: what are nearly half-a-billion North Americans going to do for a living?

We are not doomed to decline, but decline will be our lot unless we actively engage in a collective democratic effort to build a new, sustainable economy for North America.

Graph source: US Dept. of Commerce, Bureau of Economic Analysis

 

Far-flung food: local food falls victim to a fixation on food exports

A graph of Canadian agri-food exports and imports, 1970 to 2015
Canadian agri-food exports and imports, 1970 to 2015

The local food movement is important—a grassroots force for positive change.  People are increasingly aware of the benefits of eating local food and more are demanding it.  That said, it would be wrong to think that we are localizing our food system.  Just the opposite.  The most powerful players are putting their money and influence behind the project of globalizing and de-localizing our food supply.  Our food has never been less local.

In early-April, Canada’s federal government announced an ambitious new target for higher agri-food exports: $75 billion by 2025.  Unfortunately, as exports increase, so will imports.   We’re maximizing food miles.

The graph above shows Canadian agri-food exports and imports.  The units are billions of dollars, adjusted for inflation.  The graph covers 1970 to 2015.  A round circle highlights 1989, which marks the beginning of the modern “free trade” period.  In 1989, we implemented the historic Canada-US Free Trade Agreement (CUSTA).  Not long after, we implemented the North American Free Trade Agreement (NAFTA), and the World Trade Organization (WTO) Agreement on Agriculture.  Other agreements have followed.

Since ’89, Canada has been very successful in finding export markets for Canadian grains, meat, processed foods, and other agri-food products.  Exports have more than tripled.  This is no chance occurrence.  Governments and industry have worked together to drive up exports—repeatedly setting and meeting ever-higher targets.  In 1993, for example, federal and provincial governments pledged to double agri-food exports to $20 billion by 2000. Next, they pledged to double exports again: to $40 billion by 2005.  (This latter goal was actually suggested by the Canadian Agri-Food Marketing Council, an industry group that included representatives of Cargill, Maple Leaf, and McCains.)  Just last year, the Canadian Agri-Food Trade Alliance—whose members include some of the world’s largest agricultural traders and processors—voiced strong support for new trade agreements: the Comprehensive Economic and Trade Agreement (CETA) and the Trans-Pacific Partnership (TPP).  To support of this industry-led effort, the federal government has now pledged to help increase exports to $75 billion.  While many citizens want local food, governments and agribusiness appear to want the opposite.

The trade agreements that pave the way for Canadian exports do the same for imports.  Since 1989, Canadian food imports have more than tripled, to nearly $45 billion per year.  With each uptick in exports comes a comparable increase in imports.  If we reach our 2025 goal of $75 billion in exports, the trendlines in the graph above suggest that imports will rise to about $65 billion per year—on average, about $8,000 for a hypothetical family of four.  That’s a lot of imported food. Especially in a food-rich nation such as Canada.

The preceding is not an argument against exports and trade, or even against food imports.  But it is an argument against a simplistic fixation on exports.  While exports have doubled and redoubled, farmers’ net incomes have stagnated or fallen, the number of Canadian farms has been reduced by a third, farm debt has quadrupled, many Canadian processing companies have disappeared, and our agricultural and food systems have become increasingly controlled by foreign corporations.  Good agricultural policy must go far beyond a push to produce and export.  And a sound national food policy must go far, far beyond such simplistic schemes.

Graph sources: Agriculture and Agri-Food Canada (AAFC): “Agri-food Export Potential for the year 2000;” and data from AAFC by request.

Back on track: North America needs high-speed passenger rail

A graph of passenger rail utilization, selected nations, average kilometres per capita
Passenger train use, kilometers per person per year (average), selected countries, 2014 or 2015 data

Not every problem has a clear solution.  Here’s one that does.  The problem is the exponential growth in air travel and attendant greenhouse gas (GHG) emissions.  The solution is high-speed passenger rail.

Compared to airplanes, high-speed trains can move people faster, more comfortably and conveniently, more cheaply, and with a fraction of the GHG emissions.  And Canada is uniquely placed to benefit from a passenger-rail renaissance; one of the world’s largest passenger-rail manufacturers, Bombardier, is a Canadian company.

Air travel is increasing exponentially.  As I detailed in a previous blog post, air travelers now rack up about 7 trillion passenger-kilometres per year.  And that figure is projected to double by 2030.  If we are to retain a tolerable climate, most of the planes will soon need to be grounded, excepting perhaps those used for trans-oceanic flights.

While airplanes may remain our best option for crossing oceans, within continents higher-speed rail (130–200 km/h) and high-speed rail (200+ km/h) can move people faster and more comfortably.  Such trains can transport passengers from city-centre to city-centre, eliminating the long drive to the airport.  Trains do not require time-consuming, invasive airport security screenings.  These factors, combined with high speeds, mean that for many trips, the total travel time is lower for trains than for planes.  And because trains have much more leg-room and often include observation cars, restaurants, and lounges, they are much more comfortable and enjoyable.

Many people will know the Eurostar high-speed line that connects Paris and other European cities to London via the Channel Tunnel.  Top speed for that train is 320 km/h.  A trip from downtown London to Downtown Paris—nearly 500 kms—takes 2 hours and 20 minutes, about the time it takes the average North American to drive to the airport, check in, check baggage, clear security, and get to his or her airplane seat.

China recently inaugurated its Shanghai Maglev line, with a maximum speed of 430km/h and average speed of 250 km/h.  Japan’s famous “bullet trains” went into service more than 50 years ago.  They now travel on a network of 2,764 kms of track and reach speeds of 320 km/h.

North America has one high-speed line, the Acela Express that links Boston, New York, Philadelphia, Baltimore, and Washington. The maximum speed is 240 km/h, through average speeds are lower.  Travel time from New York to Washington is 2 hours and 45 minutes, including time spent at intermediate stops: an average speed of 132 km/h.  The Acela Express trains were built by a consortium 75 percent owned by Canada’s Bombardier.

This brings us to the truly good news: Canada is home to a world-leading passenger rail manufacturer, Bombardier.  You will find the company’s rolling stock in the subways of New York, London, and more than a dozen other cities.  Its intercity trains run throughout Europe, Asia, and North America.  And its high-speed trains are currently moving passengers in China, Europe, and the US.  Until a recent merger of two Chinese companies, Canada’s Bombardier was the largest passenger train manufacturer in the world.  Canada has a huge opportunity to create jobs and economic activity while leading the world in low-emission, cutting-edge rail technology.  As climate change forces Canada to scale back fossil-fuel production and maybe even auto manufacturing, Canada will need new economic engines.  Passenger-rail manufacturing can be an economic engine of the future.

Not all the news is good, however.  Many will have recent heard news reports about Bombardier.  Over the past few years, Federal and provincial governments have provided cash injections to the company totaling more than a billion dollars, largely to cover costs on its C-Series passenger-jet program.  Bombardier is in trouble.  Indeed, it may have made one of the biggest business blunders in recent decades: financially imperiling a world-leading train maker to make a huge gamble on planes just as climate change forces us to ground the planes and build a trillion-dollar passenger rail system.  Bombardier has recently announced that it may merge its train division with the German company Siemens.

Bombardier has been foolish.  Canadian citizens and their governments have been equally foolish: handing over billions of taxpayer dollars and not receiving a single passenger train in return.  But we can be smart.  That means building a North American network of fast trains.  Bombardier can prosper by being one of the main suppliers for that network.  High-speed passenger rail can be a win-win-win: jobs for Canadians and Americans; fast, comfortable travel; and a high-tech, low-emission transportation system on this continent like the ones being built in Europe and Asia.

The graph at the top of this article shows average per-person passenger-train utilization.  The data is from the most recent year available: 2014 or ’15.  Passenger rail utilization rates in Canada and the US (an average of less than 40 kms per person per year) are among the lowest in the world.  In China, average use is more than 800 kms per person per year and rising very rapidly.  In many European nations, it is more than 1,000 kms per year per person—25 to 30 times the Canadian and US rates.  There is huge growth potential for the passenger rail sector in North America.

Graph sources: OECD.

 

Fractal collapse: How the dominant societies and economies may fail.

Six images showing the stages of formation of a Sierpinski triangle
The stages of formation of a Sierpinski triangle illustrating fractal collapse

Fractal collapse is an important, useful idea.  It helps us understand that a society, economy, political system, or civilization may not “fall,” but rather become pock-marked and weakened—shot through with micro-collapses.

The United States may be in an advanced state of collapse.  There are many indicators that this is the case.  The national debt, nearly $20 trillion, about a quarter-million dollars per family of four (see my “US national debt per family”), seems unrepayable.  America’s former industrial heartland is now mostly rustbelt, and parts of Detroit look like sets for “Walking Dead” or “The Road.”  Climate change is bearing down from one side and resource depletion from another.  Its democratic system—rotted by dark money, voter suppression, gerrymandering, the distortions of the Electoral College, and messianic populist politics—has delivered gridlock, ideologues, cartoon-level analyses of complex issues, and, now, Trump.  Many of the manufacturing jobs that have not moved to Asia may soon be taken by robots.  Inequality and incarceration-rates are at record highs.  One could extend this list to fill pages.

Despite the preceding, I’m not predicting that America (or Greece or Australia or England) will “fall”—pitch into rapid and irreversible economic contraction and social disintegration.  Instead, fractal collapse is more likely.  In fractal collapse, parts of a system fail, at various scales, but the system, in diminished form, carries on.  We’re seeing this in America.  We see the collapse of a household here (perhaps a result of the opioid crisis), and a neighbourhood, there; a city declines rapidly (think Detroit or Scranton) and a county declares bankruptcy.  Collapse occurs in various places and at various scales but the aggregate entity moves forward.  And such collapses are not predictable—they do not just happen to poor people or in the “poor” places.  Suddenly and unexpectedly, the investment banks collapse, then General Motors becomes insolvent.  The Senate and House of Representatives cease to function properly.  Collapse is not a single event.  As we are seeing it play out now—amid the hyper-energized and dominant “industrial” economies—collapse is multiple, iterative, and repeated across scales: it is fractal.

And collapse is not monolithic or pervasive.  Indeed, some parts of the system expand and prosper.  The US is manufacturing billionaires at a record pace, the stock market continues to climb, output of everything from corn to natural gas is up, and Google and Apple are world-leading corporations.  A hallmark of collapse is that societies become dis-integrated, allowing some parts to fall as other parts rise.

The image above is a Sierpinski triangle or “gasket.”  It helps visualize this idea of fractal collapse.  Step by step, the original triangle shape develops more holes and loses area, but it does not disappear.  its outlines remain apparent.

To make a Sierpinski gasket, we start with an equilateral triangle.  Then we identify the mid-points of each side and use these as the vertices of a new triangle, which we remove from the original.  (See the top-middle triangle, above.)  This leaves us with three equilateral triangles.  We repeat this process over and over; we iterate.  From each remaining triangle we remove the middle, leaving three smaller triangles.  The Sierpinski gasket and its repeated holing can serve as a visual metaphor for the fractal collapse that may now be hollowing out many of the world’s nations.

The future is not binary, not rise or fall.  Increasingly, nations may become less homogeneous.  Some parts may expand and prosper while other parts may wither or fail.  The overall trendline may not be upward, however, but rather downward.  Our future may not be a train wreck, but rather a slow dilapidation.  Not with a bang but a wimper.  We can change this outcome.  But currently very few are trying.

The intellectual history of the idea of fractal collapse is not wholly clear.  The concept came out of the physical sciences and has been popularized as a description of social and economic collapse by author and analyst John Michael Greer.

Unimaginable output: Global production of transistors

Approximate global production of transistors, per capita, selected years, 1955 to 2015
Approximate global production of transistors, per capita, selected years, 1955 to 2015

Global production of transistors has surpassed 20 trillion per second—hundreds of quintillions per year.  Transistors are the primary building blocks of modern electronic devices: computers, smartphones, TVs, radios, and other devices.  Transistors use semiconductor materials to amplify (think transistor radios) or switch (think digital computers) electronic signals and electrical power.  Transistors can be individual components, but are found in far greater numbers embedded in integrated circuits—in computer “chips.”

The graph above shows global production of transistors per year per person.  Per capita values are used here to make the size of the numbers more manageable.  In 1955, production was one transistor per 1,000 people—essentially zero.  Radios and TVs in the mid-’50s used vacuum tubes rather than transistors and integrated circuits.

Just ten years later, in 1965, production had increased 1,000-fold, to one transistor per person per year.  Transistor radios were gaining popularity in the 1960s.  Each radio contained several transistors—often 5 to 10.

While production in 1965 was one transistor per person per year, by 1975 it was nearly 1,500 per person.  Individual transistor components had been replaced by semiconductor computer chips, each containing thousands or millions of individual transistors.

The 1980s saw the proliferation of computers and home electronics.  By 1985 global production of transistors had surpassed 40 thousand per person per year.  By 2000 it was 65 million.  Today it is 56 billion per person.

The world now produces more transistors in one second that it did in one year in 1980.

The global population could not afford to purchase, on average, 56 billion transistors per person per year if prices had remained at 1965 or 1985 levels.  In the latter-1950s, a transistor radio with 5 transistors cost nearly $500 in today’s dollars.   Now, for not much more money, you can buy an iPhone that contains hundreds of billions of transistors.

A pound of rice sells for approximately one dollar and contains about 25,000 grains.  For that same dollar you can buy—as part of a memory stick or a phone—not 25,000 transistors, but billions.  A transistor today is thousands of times cheaper than a grain of rice.

Much of the news about the world is negative: famine, genocide, fisheries collapse, climate change, extinctions, resource depletion.  But we also need to acknowledge that our global hyper-civilization is truly wondrous.  We have built human systems of nearly incomprehensible power and productivity.  This is both their great strength and their great peril.  Nonetheless, if we are to safeguard some version of this civilization into the future we must appreciate and value it, despite its profound flaws.  We must take the time to understand it.  And we must work together to reform it.

Graph sources: VLSI Research.   Note that values are approximate and were derived, not directly from data, but from an existing graph.  Thus, while overall trends and conclusions are robust, individual values for specific years are approximate.

A doubling problem: 21st century exponential growth of the global economy

Graph of stylized exponential growth in the global economy
A notional graph modelling exponential growth in the global economy

When I was in grade-school, an uncle taught me something about limits, and about doubling.  He asked me: How many times can you fold a piece of paper in half?  Before I could reply, he told me that the answer was eight.  I thought this seemed too low.  So, as a child eager to demonstrate adults’ errors, I located a sheet of writing paper and began folding.  I managed seven folds—not even achieving the predicted eight.  I thought that the problem was the small size of the paper.  So, I located a newspaper, removed one sheet, and began folding.  I folded it eight times but could not make it to nine.

Why this limit?  Most people assume that the problem is the size of the sheet of paper: as we fold it, the paper gets smaller and, thus, the next fold becomes harder.  This is true, but the real problem is that the number of sheets to be folded increases exponentially.  Fold the paper once and it is two sheets thick.  A second fold brings the thickness to four sheets.  A third fold: eight.  A fourth, fifth, and sixth fold: sixteen sheets, thirty-two, then sixty-four.  The seventh fold doubles the thickness again to 128 sheets, and an eighth to 256.  When I was a child folding that sheet of newspaper, in attempting that ninth fold I was straining to bend 256 sheets.

Now, if I started with a very large piece  of paper perhaps I could prove my late uncle wrong and achieve that ninth fold.  It’s hard to predict precisely where limits lie.  Imagine a football-field-sized piece of paper and ten linebackers assigned the task of folding.  Those players could certainly make nine folds.  Perhaps they might even achieve ten, bending 512 sheets to increase the thickness to 1,024.  Maybe they could strain to make eleven folds, bending those 1,024 sheets to achieve a thickness of 2,048.  But eventually the doubling and redoubling would reach a point where it was impossible to double again.  Exponential growth creates a doubling problem.

Our petro-industrial-consumer mega-civilization has a doubling problem.  During the 20th century we doubled the size of the global economy four times.  Four doublings is a sixteenfold increase: 2, 4, 8, 16.  Despite this multiplication, today, every banker, CEO, investor, Minister of Finance, shareholder, bondholder, and would-be retiree (i.e., nearly all of us) wants to keep economic growth going.  And we want growth to continue at “normal” rates—rates that lead to a doubling in the size of the economy about every 25 years.  Thus, in effect, what we want in the 21st century is another four doublings—another sixteenfold increase.  The graph above shows the sixteenfold increase that occurred during the 20th century and shows what a sixteenfold increase during the 21st century would look like.

The first doubling of the 21st century is already underway.  We’re rapidly moving toward a global economy in 2025 that is twice the size of the one that existed in 2000.  But the economy in 2000 was already placing a heavy boot upon the biosphere.  By that year, North America’s East Coast cod fishery had already collapsed, greenhouse gas emissions were already driving up temperatures, and the Amazon was shrinking.  Despite this, we seem to believe that a 2025 economy twice as large as that year-2000 economy is “sustainable.”  Even worse, in 2025, we won’t be “sustaining” that two-times-2000 economy, we’ll be working to double it again.

Clearly, at some point, this has to stop.  Even those who think that the Earth can support and withstand a human economy twice the size that existed in 2000 must begin to have doubts about an economy four or eight times as large.  There can be no dispute that economic growth must end.  Though we may disagree as to when.

Perceptive readers will have noted a shortcoming in my paper-folding analogy: That system runs into hard limits; at some point, attempts to double the number of sheets simply fail, and that failure is immediately apparent.  Our civilizational-biospheric system is different.  Limits to Earth’s capacities to provision the human economy and absorb its wastes certainly exist, but they are not hard limits.  Given the immense power of our economy and technologies, we can breach Earth’s limits, at least for a time.  On many fronts we already have.  It will only be in hindsight—as ecosystems collapse and species disappear and the biosphere and climate become destabilized, damaged, and hostile—that we will know for sure that we’ve crossed a terrible line.  Only then will we know for sure that at some point in our past our doubling proceeded too far.  So, unlike paper folding, determining the limits of economic growth requires human wisdom and self-restraint.

China (re)rising: 1,000+ years of data on who dominates the global economy

Graph of China's share of the global economy, and selected other nations, 1000 AD to present
China’s share of the global economy, along with other nations, 1000AD to present

China’s share of the global economy has increased rapidly—from about 5 percent in the early 1980s to more than 26 percent today.  India’s economy has similarly expanded, from 3 percent of the global economy in the early ’80s to more than 8 percent today.  Meanwhile, the percentage shares of the US, UK, Germany, Japan, and other nations are falling fast.  The graph above shows the relative share of global GDP represented by selected nations.  The time-frame is 1000 AD to 2016.

Manufacturing data* similarly shows India and China’s long-term dominance. In 1800, fully half the manufacturing output of the world came from India and China.  In that year, the UK contributed 4.3 percent of manufacturing output and the US just 0.8 percent.  The UK and US came to dominate global manufacturing by the late-1800s, but their rise is recent and, as the graph above suggests, their dominance may be shortlived.

Many people have been surprised by the “rise of China” and that of India.  No one should be.  The global economy is merely returning to its long-term normal—resetting after an anomalous period when European and New World nations were economically ascendant.  Indeed, England and Europe have been economic backwaters for 97 percent of the time since civilizations first arose 5,000 years ago. Our educational system fails to teach us that China and India are the default global superpowers.

To give just two final examples of the long-term dominance of Asia, China  smelted hundreds of thousands of tons of iron in the 11th century using coal rather than wood, a feat not matched in Europe until 600 years later.** A list of the ten largest cities in the world in the year 1500 includes four in China (Beijing, Nanjing, Hangzhou, and Guangzhou) and two in India (Gaur and Vijayanagara), but just one in Europe, (Paris). The three cities rounding off the top-ten list were Tabriz, Cairo, and Istanbul.*** Clearly, the economic and civilizational centre of gravity was in the East. It appears to be shifting back there.

* Paul Bairoch, “International Industrial Levels from 1750 to 1980”
** Hartwell, various pubs
*** Hohenberg, Oxford Encyclopaedia of Economic History

Graph sources: 1000AD-2008, Angus Maddison, 2009-2016 Conference Board