Amsterdam, 25 October 2016 Content Overview 1. The Current Reality - - PowerPoint PPT Presentation

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Amsterdam, 25 October 2016 Content Overview 1. The Current Reality - - PowerPoint PPT Presentation

www.perspectivity.org www.publicpolicy.agency Amsterdam, 25 October 2016 Content Overview 1. The Current Reality 2. Background and Shortcomings of Current Economic Views 3. IIERs Economic Model 4. What it takes to grow 5. Consequences for our


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Amsterdam, 25 October 2016

www.perspectivity.org www.publicpolicy.agency

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  • 1. The Current Reality
  • 2. Background and Shortcomings of

Current Economic Views

  • 3. IIER’s Economic Model
  • 4. What it takes to grow
  • 5. Consequences for our societies

Content Overview

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Growth Predictions vs. Reality

During the past years, growth prediction for almost all economies – and on global level – were constantly

  • veroptimistic, and most

countries grew at a slower pace than anticipated during the recovery since the 2008/9 crisis

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Euro zone household incomes

90% 92% 94% 96% 98% 100% 102%

2007 2008 2009 2010 2011 2012 2013 2014

1st quitile 2nd quintile 3rd quintile 4th quintile

For most households in advanced economies, real incomes have shrunk or stagnated, in the U.S. since the year 2000, in Europe since 2009

Source: Eurostat (real household incomes)

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The Netherlands follow the pattern

Dutch real incomes are very much in line with the rest of the Euro zone, after a strong rise until 2008, they have since been shrinking

Source: Eurostat (real household incomes)

90% 92% 94% 96% 98% 100% 102% 2007 2008 2009 2010 2011 2012 2013 2014 2015

Real eal household in incomes es Net ether erlan lands 2007 to to 2015

1st quitile 2nd quintile 3rd quintile 4th quintile

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Germany, the “powerhouse”

90% 92% 94% 96% 98% 100% 102% 104% 2007 2008 2009 2010 2011 2012 2013 2014 1st quintile 2nd quintile 3rd quintile 4th quintile

Even in Germany, one of the most successful European economies in recent years, real incomes were flat or shrinking for most people

Source: Eurostat (real household incomes)

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0% 5% 10% 15% 20% Low incomes Medium incomes High incomes Top 1%

Inc ncome

  • me-de

depe pende ndent nt inf nflation r

  • n rates

Averaged CPI data masks losses

Average CPI numbers mask that core essentials of low income households (and those of the 1%) are appreciating much faster than the average

  • Food
  • Energy
  • Transportation
  • Health care
  • Rent
  • Education
  • Mortgages
  • Electronics
  • Travel
  • Communications
  • Luxury real estate
  • Luxury goods
  • Collectibles
  • Investments

Source: BLS

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What people think of the future

30% 62% 8% 34% 58% 8% 14% 85% 1% 18% 72% 10% Better off Worse off The same 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% Japan France Germany United States

When asked about the economic prospects of their children (“how will they be financially?”) a majority expects a shrinking economy

Source: Pew Research 2015

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In Inter eres est r rat ates es belo elow in w inflat latio ion Dir irec ect liq liquid idit ity to in instit itutio ions at at r ris isk k (countries/banks) Guar aran antees ees f for cred edit it mar arket kets Ex Explic licit it an and im implic licit it too-big ig- to to-fail g ail guar aran antees ees On On-going g government def efic icit it s spen endin ing Cen entral b al ban ank b k balan alance e sheet eet expansions

…despite unprecedented interventions

“augmented” economy “real” market economy

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10 20 30 40 50 60

1820 1840 1860 1880 1900 1920 1940 1960 1980 2000 2020

Globa

  • bal GDP in t

n trillion

  • n 1990$ f

1990$ from

  • m 1820

1820-2010 2010

The past 200 years were just amzaing

*Sources: Angus Maddison, World Bank, IIER

Between the years 1820 and 2010, the global economy grew 77-fold, with

  • nly very few (short) interruptions
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1'000 2'000 3'000 4'000 5'000 6'000 7'000 8'000

1500 1600 1700 1800 1900 2000 2100

Globa

  • bal GDP pe

per c capi pita 1500 1500-2010 i 2010 in n 1990$ 1990$

Most impressive: per capita GDP growth

*Sources: Angus Maddison, World Bank, IIER

Even more impressive was that during this period, while going from less than 1 billion humans to around 7 billion, per capita incomes also exploded

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Almost all economic forecasting is based on variations of a Cobb-Douglas style production function (Y = ALαKβ) where output (GDP) is a product of available factors labor bor and cap apital tal (typically a grouped category for existing and new infrastructure), further enhanced by growing fac facto tor p r producti tivity

  • ty. This is largely

consistent with the experience of the past 250 years until 2008. =

Economics interpretation of the data

To Total tal Fac acto tor Produc

  • duc-

tiv ivit ity Cap apital tal Out utput put Human man Labor bor

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Economic science

  • Simplified models
  • No integration of natural

science

  • Looks at recent history (200

years)

  • Little to no interconnection

between elements

  • No/weak feedback loops
  • utside supply/demand view
  • No inclusion of breakpoints

Economics vs. ecosystems science

Ecosystems science

  • Complex systems
  • Integrates physics, chemistry

and biology

  • Includes long-term human

ecosystem history

  • Highly interconnected

components

  • Strong feedback loops
  • Systemic failure risks accepted

and integrated In reality, our human economic system is nothing but a (very complex) ecosystem with many more parameters

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Production function

  • Economic theory

assumes that economic output is primarily driven by human labor, capital, supported by ever-improving factor productivity, ignoring other factors Substitution theory

  • Economic theory

assumes that there is always an equivalent or better substitute for inputs that become scarcer (too expensive), and that supply and demand always regulate switchovers with a beneficial

  • utcome

Views on finance

  • Economic theory

has conflicting views on credit. While basic theory sees credit as neutral, other schools (e.g. Keynesian) acknowledge a role in demand generation based

  • n credit volume

growth Macroeconomic modeling issues

  • Behavioral

science is not at all integrated except for supply/demand views

  • Financial

dynamics are not integrated

  • Physical limits of

a finite planet are not integrated

Critical areas in economic science

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0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1790 1796 1802 1808 1814 1820 1826 1832 1838 1844 1850 1856 1862 1868 1874 1880 1886 1892 1898 1904 1910 1916 1922 1928 1934 1940 1946 1952 1958 1964 1970 1976 1982 1988 1994 2000 2006

Ene nergy gy s sha hare by by s sour

  • urce* v

* vs. pr predom domina nant nt econom

  • nomic t

the heor

  • ry

Fossil Renewable Nuclear

How economic science evolved

*Source: EIA (U.S. energy mix)

All relevant economic theorists (including Smith, Ricardo, Malthus and others)

  • perate with land and

land productivity as key parameters Macroeconomic systems are ultimately reduced to labor and capital, leading to today’s predominant views During a transitional phase, labor and capital get higher emphasis (e.g. Marshall)

Before the broad arrival of fossil fuels, economic theory was based on land and productivity. Only after the introduction of fossil fuels (equaling to access to millions of years of past biomass production), the limiting aspect of those resources became (we think: temporarily) irrelevant.

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20 40 60 80 100 120

Globa

  • bal GDP i

in t n trillion

  • n 1990$

1990$ from

  • m 1820

1820-2050 2050

This is what macroeconomics expects

*Sources: Angus Maddison, World Bank, IIER, OECD, The Economist Intelligence Unit

Even most conservative macroeconomic forecasts project more than a doubling

  • f global GDP between 2015 and 2050 in real (inflation-adjusted) terms
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0 A. A.D. D. 50 500 10 1000 00 15 1500 00 16 1600 00 17 1700 00 18 1800 00 19 1900 00 20 2000 00 21 2100 00 22 2200 00

Eco conomic s ic sys yste tem s size ize Year

In n the he l long r

  • ng run,

un, no e no eco(

  • (nom

nomic) sy syst stem follows ws expone ponent ntial gr grow

  • wth

h pa patterns

  • ns. E

Even n hum human hi n histor

  • ry

confi firm rms th that. t.

…but at one point, there are limits

During the industrial age we humans have come to believe that exponential growth is the norm, mistaking part

  • f the curve for the whole

Global GDP patterns from 0 A.D. Source: Angus Maddisson, IIER calculations

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IIER’s Economic Systems Model identifies challenges:

  • Economic activity today is

largely (>95%) tied to resource and energy conversions

  • We have used credit as a turbo

charger for fast resource access

  • Both systems are exhausted
  • Today, human behavior is

driving ups and downs

IIER economic (and ecosystem) model

IIER Economic Systems Model (Consumption and Investment)

Human Behavior Indivi- duals Groups Markets Insti- tutions Financial Systems (Money, Credit) Trade and Exchange Technology (access enabling) Biophysical Processes Natural Resources Energy

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Energy and Natural Resources Credit Availability Behavior

What truly drives growth

Key Key d driver ers

  • Energy and resource

availability and affordability (ERoEI/RRoEI*)

  • Credit availability and

conditions

  • Human future

expectations

*Ener Energy/ gy/Res Resour

  • urce

ce ret etur urn on Ener n on Energy gy Inves nvestment ent determines the output received from one unit of energy input. This amount is irreversibly declining

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More growth = more resources

100 200 300 400 500 600 700 800 900 1970 2010 2050

GDP, Nat atural al R Res esources ces an and En Ener ergy Pr y Project ections (1970= 1970=100) 100)

GDP Natural Resources Energy Sources: World Bank, UNEP , IIER modelling

Economic growth is directly related to resource and energy conversions, with very limited potential for quick efficiency gains. An (unrealistic) 2% growth target would almost double their use by 2050.

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For all periods since the 1970s, credit volumes have grown faster than GDP

  • Since 2008, credit

growth has further accelerated despite large write-offs in advanced economies

  • By now, all advanced

and most emerging economies have almost reached their feasible debt limits

More credit = more resource access

20 40 60 80 100 120 140 160 180 2000 2007 2013/14 Globa

  • bal N

Non

  • n-Fin

inancia ial C l Credit it t trillio illion U US$* Households Companies Government

189% of global GDP 197% of global GDP 221% of global GDP *Source: McKinsey Research

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Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15 Y16 Y17 Y18 Y19 Y20

In most production environments, we are used to constantly shifting price curves, leading to lower and lower cost for goods, based on improvements in technology and efficiency. For resources requiring extraction, the pattern is different. After the easy finds have been used and extraction technology has matured, cost only goes up.

Marginal cost is irreversibly growing

Typical marginal cost curve for manufactured goods Typical marginal cost curve for extracted materials

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With market prices at the point of hi highe ghest margi gina nal extraction c

  • n cos
  • st

in an equilibrium situation, they fluctuate heavily

Commodity prices become volatile

1 marginal unit price 2 demand driven price 3 cost of marginal units at lower demand point 4 (as 3) 5 undershoot on price

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The key drivers behind the (dependent) Cobb Douglas variables can be identified as 1. natural resources (including energy), 2. credit availability and, to a certain degree 3. technology progress =

Economists missed those connections (as they imposed no limits until recently)

To Total tal Fac acto tor Produc

  • duc-

tiv ivit ity Cap apital tal Out utput put Human man Labor bor

A gr group of

  • up of aspe

pects dr driving f ng factor

  • r pr

produc

  • ductivity

(inc ncludi uding ng efficienc ncy, but but also s

  • subs

ubstitut utions

  • ns

be between l n labor bor a and m nd mecha hani nical ene nergy gy, gl globa

  • bal
  • ut
  • utsour
  • urcing,

ng, ne new r resour

  • urce us

uses) Credit it a availa ilabilit ility and c nd cos

  • st

Ene nergy gy a and r nd resour

  • urce

availa ilabilit ility a and c cost

Ultimately, economic activity is hard-limited by current and past land availability and productivity, which has very limited elasticity.

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For all energy (and resource) extractions, it matters what arrives on societal level

The higher the net benefit, the larger our economy

The quality of energy matters a lot

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Successful Industriali- sation Steady energy services Low cost energy Credit availability Steady resource prices Low ecological standards High societal stability

What enabled industrial societies

Industrial activity needs stability and favorable conditions in many areas They are currently in danger in most places around the world

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Industrial Economy Steady energy services Low cost energy Credit availability Steady resource prices Low ecological standards High societal stability

Advanced economies today

Advanced economies have seen a large de- industrialization process during the past 40 years. Conditions are becoming less and less favorable.

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Industrial Economy Steady energy services Low cost energy Credit availability Steady resource prices Low ecological standards High societal stability

Advanced economies soon

With the introduction

  • f renewables, more

tension within and between countries, and shrinking credit availability, conditions deteriorate even further.

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Successful Industriali- sation Steady energy services Low cost energy Credit availability Steady resource prices Low ecological standards High societal stability

China equally sees deterioration

China has picked up more than 40% of global primary materials processing due to more attractive conditions. But: even China is struggling to keep its economy growing.

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Successful Industriali- sation

Steady energy services

Low cost energy

Credit availability

Steady resource prices Low ecological standards High societal stability

For poor economies, it is too late

Developing economies have the worst conditions to enable stable industrial societies, and typically, they are worsening, not improving.

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How it all fits together

*Source: Angus Maddison, World Bank EIA, IIER models

Once more difficult-to-extract fossil resources and renewables come into the energy mix at larger scale, they begin to push our economic system down

10 20 30 40 50 60

Globa lobal l GDP 1800 1800-2050 2050 (in in trillion illion 1990$) 1990$) wit ith a h a shif hift to 50%

  • 50% r

rene newable ble ene nergy gy

Renewables Fossil fuels Nuclear

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20th century fossil fuels compare to renewables like convenience food to a meal where you prepare your food from farm to table

The renewables’ Achilles heel: density

Find Extract Buy Heat Plant Harvest Prepare Cook Extract Enrich Condense Align demand

Fossil il f fuels Conv

  • nveni

nienc nce f food

  • od

Gr Grow fr from s scra ratc tch Use e ren enew ewab able en e ener ergy

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Large ge pa parts of

  • f the

he pr price dr drops

  • ps

were one

  • ne-ti

time e effe fects ts

  • Between 2005 and 2015, Asia’s PV market

share grew from 10% to 90%, moving manufacturing away from Europe;

  • China provided large subsidies supporting

this market takeover;

  • Solar PV panels today are produced with

the cheapest non-renewable inputs (energy and resources) available globally;

  • Most feasible manufacturing scale-up

improvements have taken place by now.

But isn’t solar PV cheaper than ever?

So Solar ar Po Power er ex extrac acted ed v via PV a PV pa pane nels i isn’ n’t the he whol hole m meal

  • PV electricity as a source is incompatible with

the needs of stable grid-based electricity unless heavily mitigated (“enriched and condensed”);

  • As soon as we introduce solar power at scale,

the largest part of the cost won’t be the manufacturing of panels, but the mitigation of fluctuations and provision of fallback capacity and storage.

With shrinking solar PV panel cost, many people believe that eventually, we will arrive at a “zero cost energy” environment. Nothing is further from the truth:

Extract Enrich Condense Align demand

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For all energy (and resource) extractions, it matters what arrives on societal level

The higher the net benefit, the larger our economy

Energy quality matters a lot

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People feel they are not taken seriously

30% 62% 8% 34% 58% 8% 14% 85% 1% 18% 72% 10% Better off Worse off The same 0% 10% 20% 30% 40% 50% 60% 70% 80% 90%

How

  • w w

will l your

  • ur c

chi hildr dren n be be of

  • ff fina

nanc ncially?

Japan France Germany United States

While a majority intuitively guesses that the times of growth are over, most politicians still focus on “restarting the growth engine.”

Source: Pew Research 2015

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20% 25% 30% 35% 40% 45% 50% 55% 60%

% of respondents who “tend to trust” in

The EU National Government Trend Trend

Consequence 1: Disenfranchisement

Source: Standard Eurobarameter 84 (2015)

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Consequence 2: rise of extremism

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New abundant low-cost energy sources

A new unlimited energy source provides enough power to “catch up” We will be able to continue our lives and even fix the environment

A government- driven muddling through

Governments slowly take control of most markets, preventing collapse We will run into a continuous frustration with high risks for social cohesion

Severe systems disruptions from market failures

Important supply systems collapse after a currency break- down If unprepared, leads to societal collapse where literally the lights go out

IIER 2009 scenarios saw this coming

<10% 70-80% 10-20%

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How will “muddling through” continue

Will we accept that the future will look different than the past and find back to a societal dialogue resolving the problem? Will we further increase fighting and blaming and the search for pseudo-solutions, ending up with society falling to pieces?

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The Institute for Integrated Economic Research, founded in 2007, is a non-profit research

  • rganization focused on developing an unbiased view of global economic processes.

IIER tries to re-focus economic research away from individual subsystems, towards a broader understanding of the larger forces driving overall progress or retreat. The global economic crisis that began in 2008 is a good example of why this is necessary - traditional economic science neither provided the ability to predict the current downturn, nor does it sufficiently explain the mechanisms at work. IIER is an academia-type institution without a political or economic agenda, bound to science rather than opinion. Over the past decade, IIER has developed a macroeconomic model that works, and is building tools to help society plan for a resource-constrained future. IIER has been right about almost everything in economics during the past 10 years, including resource/energy price dynamics, failure of economic systems to fully recover despite continued heavy-handed interventions, and, unfortunately, the quick rise of extreme parties. In order to curtail negative implications on society, IIER is currently starting a more public

  • utreach campaign in addition to its scientific efforts.

Almost 10 years of IIER

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Science and Technology Projects (1)

resource models

  • Energy- and resource-

based economic planning and modeling tools with sub-models for water, energy, land use, and agriculture

  • Under development with

Stanford and Imperial

low tech inventors

  • A platform/scholarship

approach for sharing and patenting low-tech inventions that can be implemented in poor areas around the world

  • Working on

implementation plan

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Science and Technology Projects (2)

iier economics prize

  • Provide grants and

prizes fore young economists who integrate economics with natural and behavioral sciences, as well as finance

  • Concept ready, seeking

funding

iier faculty

  • Establish a IIER faculty

as part of a renowned university, with a full curriculum and master textbook, plus online courses for free study

  • Raw concept ideas
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Societal Impact Projects energy&stuff

  • A website/social media

project educating people about resource constraints affecting growth and “living with less”, creating a positive spin on limits

  • Launch: Oct-2016

Whose fault?

  • Establish a teaser

campaign aimed at deflecting people’s urge to blame someone for growing anxiety about the future.

  • Concept ready, seeking

funding for pilot

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Support us: http://www.energyandstuff.org/launch/donate.html