have the future of Homo Sapiens and the Planet in their Grip and - - PowerPoint PPT Presentation

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have the future of Homo Sapiens and the Planet in their Grip and - - PowerPoint PPT Presentation

My powerpoint presentations: UKSDS 2018.PPT John Raven Modelling the Network of Social Forces that have the future of Homo Sapiens and the Planet in their Grip and Designing a Dynamic Public Management System Andreas Harbig and Alex Voigt


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My powerpoint presentations: UKSDS 2018.PPT

John Raven Modelling the Network of Social Forces that have the future of Homo Sapiens and the Planet in their Grip and Designing a Dynamic Public Management System

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Andreas Harbig and Alex Voigt AT 2017 annual conference No of Crossrail projects required in all major cities to cope with population growth.

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Financially and technically feasible, but, from ecological point of view, cannot be done.

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Bill Rees and others have shown that it would require 3-5 back up planets engaged in nothing but agriculture for everyone alive today to live as we live in the West.

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Similar conclusions from our

  • wn work and that of

Clive Spash and this years’ report to the Club of Rome. We have to radically change the way we live.

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So many changes necessary that cannot be centrally specified. Bookchin: Sustainable society will not even be recognisable as any political economy known to us. “Blueprint” not possible: Agricultural cf industrial society.

.

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Problem is to devise a public management system which will promote evolution in those public management arrangements

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One which will innovate and learn without central direction.

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Only systemic attempt to find way forward re the ecological issues was

Limits to Growth

based on

Jay Forrester

World Model

Others merely make ad-hoc suggestions.

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Particularly important to look at this since Weizsacker and Wijkman’s 50th anniversary report to Club of Rome utterly fails to build on or extend that work.

Instead we get yet more ad-hoc demonstrations, assertions, and good ideas.

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Not at all obvious in Limits to Growth.

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Another World Model: STELLA

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The systemic mapping behind the Limits to Growth Projections is not discussed.

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Here are some.

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Population 0 To 14 deaths 15 to 44 initial population 0 to 14 Population 15 To 44 deaths maturation 64 to 65 initial population 15 to 44 Population 45 To 64 reproductive lifetime population equilibrium time initial population 54 to 64 Population 65 Plus <Time> <total fertility> initial population 65 plus maturation 44 to 45 mortality 0 to 14 mortality 15 to 44 births maturation 14 to 15 deaths 0 to 14 deaths 45 to 64 deaths 65 plus mortality 45 to 64 mortality 65 plus mortality 45 to 64 table mortality 15 to 44 table mortality 0 to 14 table mortality 65 plus table labor force labor force participation fraction population <one year> <life expectancy> <life expectancy> <one year>

Demographics

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total fertility <desired total fertility> fertility control effectiveness maximum total fertility fertility control effectiveness table fertility control facilities per capita <fertility control effectiveness time s> <Time> fertility control allocation per capita <health services impact delay> fraction services allocated to fertility control <service output per capita> fecundity multiplier maximum total fertility normal fecundity multiplier table <life expectancy> fraction services allocated to fertility control table need for fertility control desired total fertility completed multiplier from perceived lifetime desired completed family size desired completed family size normal family response to social norm social family size normal <zero population growth time s> <Time> completed multiplier from perceived lifetime table perceived life expectancy delayed industrial

  • utput per capita

lifetime perception delay social family size normal table <industrial output per capita> social adjustment delay family income expectation family response to social norm table average industrial

  • utput per

capita income expectation averaging time <one year> <one year> <GDP pc unit> <GDP pc unit>

Fertility

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life expectancy life expectancy normal lifetime multiplier from crowding lifetime multiplier from food lifetime multiplier from health services lifetime multiplier from persistent pollution lifetime multiplier from persistent pollution table <persistent pollution index> crowding multiplier from industry fraction of population urban fraction of population urban table <population> crowding multiplier from industry table <industrial output per capita> lifetime multiplier from health services 1 lifetime multiplier from health services 2 <Time> <food per capita> lifetime multiplier from food table <subsistence food per capita> effective hea lth services per capita lifetime multiplier from health services 1 table health services per capita health services impact delay health services per capita table <service output per capita> lifetime multiplier from health services 2 table <GDP pc unit> <unit population> <GDP pc unit> <GDP pc unit> <GDP pc unit>

Life Expectancy

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Persistent Pollution Technology persistent pollution technology change rate <POLICY YEAR s> desired persistent pollution index persistent pollution index Persistent Pollution persistent pollution in 1970 initial persistent pollution persistent pollution generation rate persistent pollution transmission delay assimilation half life assimilation half life in 1970 persistent pollution appearance rate persistent pollution assimilation rate assimilation half life multiplier assimilation half life mult table persistent pollution generation industry persistent pollution generation agriculture persistent pollution generation factor fraction of resources from persistent materials industrial material toxicity index industrial material emissions factor <per capita resource use multiplier> <population> persistent pollution generation factor 1 persistent pollution generation factor 2 <Time> technology development delay <agricultural input per hectare> agricultural material toxicity index <Arable Land> fraction of agricultural inputs from persistent materials <POLICY YEAR s> industrial capital output ratio multiplier from pollution technology industrial capital output ratio multiplier from pollution table persistent pollution intensity industry <industrial output> persistent pollution technology change multiplier 1 persistent pollution technology change multiplier 2 persistent pollution technology change mult table 2 persistent pollution technology change mult table 1 persistent pollution technology change multiplier <persistent pollution technology change time s> <Time>

Persistent Pollution

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Resource Conservation Technology per capita resource use multiplier Nonrenewable Resources <population> <initial nonrenewable resources s> resource use factor resource usage rate resource technology change rate <POLICY YEAR s> fraction of industrial capital allocated to obtaining resources desired resource use rate <industrial output per capita> per capita resource use mult table resource use factor 1 resource use fact 2 <Time> <technology development delay> fraction of resources remaining fraction of capital allocated to obtaining resources 1 fraction of capital allocated to

  • btaining resources 1 table

fraction of capital allocated to obtaining resources 2 fraction of capital allocated to

  • btaining resources 2 table

<fraction of industrial capital allocated to obtaining resources switch time s> <Time> industrial capital output ratio multiplier from resource conservation technology industrial capital output ratio multiplier from resource table <POLICY YEAR s> <Time> <GDP pc unit> resource technology change rate multiplier 1 resource technology change rate multiplier 2 resource technology change table 1 resource technology change table 2 resource technology change rate multiplier <resource technology change time s>

Non Renewable Resources

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Perceived Food Ratio <Time> food shortage perception delay food per capita subsistence food per capita food <population> <Arable Land> land fraction harvested <land yield> processing loss Agricultural Inputs current agricultural inputs indicated food per capita 1 average life of agricultural inputs 1 <average life of agricultural inputs 2 s> <POLICY YEAR s> <fraction of agricultural inputs allocated to land development> total agricultural investment <industrial output> fraction of industrial output allocated to agriculture fraction of industrial output allocated to agriculture 1 fraction of industrial output allocated to agriculture 2 <Time> fraction industrial output allocated to agriculture table 2 <POLICY YEAR s> fraction industrial output allocated to agriculture table 1 indicated food per capita <industrial output per capita> indicated food per capita 2 indicated food per capita table 1 indicated food per capita table 2 agricultural input per hectare fraction of agricultural inputs for land maintenance table fraction of agricultural inputs for land maintenance food ratio average life agricultural inputs <POLICY YEAR s> <Time> <GDP pc unit>

Food Production

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SLIDE 23 Arable Land initial arable land urban and industrial land development time urban and industrial land required average life of land Land Fertility inherent land fertility land fertility regeneration time initial land fertility Potentially Arable Land development cost per hectare initial potentially arable land Urban and Industrial Land fraction of agricultural inputs allocated to land development initial urban and industrial land land erosion rate <total agricultural investment> land development rate land removal for urban and industrial use development cost per hectare table potentially arable land total fraction of agricultural inputs allocated to land development table <marginal productivity
  • f agricultural inputs>
marginal productivity
  • f land development
<land yield> social discount average life of land normal land life multiplier from land yield <land life multiplier from land yield 1> <land life multiplier from land yield 2> <land life policy implementation time s> <Time> land fertility degredation rate land fertility regeneration time table land fertility regeneration land fertility degredation <fraction of agricultural inputs for land maintenance> land fertility degredation rate table <persistent pollution index> <population> urban and industrial land required per capita <industrial output per capita> urban and industrial land required per capita table <one year> <GDP pc unit>

Land Development Loss Fertility

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These and other sub networks were brought together via the following network to generate projections of what would happen if one (governments) made a series of possible interventions.

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SLIDE 25 POLICY YEAR s POLICY YEAR POLICY YEAR scenario table POLICY YEAR use custom scenario average life of industrial capital scenario table average life of industrial capital 2 s average life of industrial capital 2 average life of industrial capital 2 use custom average life of agricultural inputs 2 s average life of agricultural inputs scenario table average life of agricultural inputs 2 average life of agricultural inputs 2 use custom average life
  • f service
capital 2 s average life of service capital scenario table average life of service capital 2 average life of service capital 2 use custom fertility control effectiveness time scenario table fertility control effectiveness time fertility control effectiveness time s fertility control effectiveness time use custom fraction of industrial capital allocated to obtaining resources switch time scenario table fraction of industrial capital allocated to obtaining resources switch time fraction of industrial capital allocated to obtaining resources switch time use custom fraction of industrial capital allocated to obtaining resources switch time s industrial equilibrium time industrial equilibrium time use custom industrial equilibrium time s industrial equilibrium time scenario table industrial output per capita desired s industrial output per capita desired scenario table industrial output per capita desired industrial output per capita desired use custom initial nonrenewable resources s initial nonrenewable resources scenario table initial nonrenewable resources use custom initial nonrenewable resources land life policy time scenario table land life policy implementation time land life policy time use custom land life policy implementation time s land yield policy time scenario table land yield policy time land yield policy time use custom land yield policy time s persistent pollution technology change scenario table persistent pollution technology change time persistent pollution technology change use custom persistent pollution technology change time s resource technology change time scenario table resource technology change time resource technology change time use custom resource technology change time s zero population growth time scenario table zero population growth time zero population growth time use custom zero population growth time s All this structure is just a way to allows changes to the scenario number to be used to replicate each scenario. When the scenario number is 0 (or ... use custom is 1) the ...s values used match exactly the input constant (shown in magenta).

Scenario Inputs

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Fig 2 shows what application of the resulting model predicted would happen if things are left to go on pretty much as they are.

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One “obvious” solution to the problem is to find ways of using resources more efficiently. But it turns out that this produces a pollution crisis which exterminates us even more quickly than just leaving things to evolve as they will.

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The following slides (which I will skip over) illustrate the effects of alternative possible interventions

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The effects of alternative possible interventions can be explored using the online version that is/was available

  • n Vensim.
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But note what we are doing here:

We are exploring the effects of single- variable interventions.

This negates one of Forrester’s most fundamental

  • bservations:

Singe-factor intervention in complex system always produces counterintuitive, and usually counterproductive effects.

The mental model behind their recommendations is highly centralised and authoritarian.

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More importantly, their model fails to map social forces which determine the inputs to the system. Let alone ask how these can be harnessed.

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My claim is that this is precisely what needs to be done to move forward.

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I know of only one author who has attempted this: Harich

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To illustrate what I mean by mapping social forces, let me say something about

  • ur work on education.
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Goals: diversity But neglected Indeed the opposite imposed: Ofsted: Bold beginnings.

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There are many reasons for this (give egs). But, most importantly, they form self- reinforcing self- extending SYSTEM

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EC&MOS.ppt 172

Figure 1: Feedback loops driving down quality of education

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The “causes” of the problem are pervasive, inter-related, and far removed from the symptoms.

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People’s behaviour is

  • verwhelmingly determined by

the system not, eg, personal knowledge and competence. There is little to be gained from shouting at teachers (or politicians).

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Pervasive change in every nook and cranny is required to move forward: It cannot possibly be centrally decreed.

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Trying to fix things one at a time not

  • nly will not, but cannot, work.

a) the desired effects will not be achieved because of the reactions of the rest of the system. b) the intervention will itself have counterintuitive, and usually counterproductive, effects.

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Requires multiple Systems-oriented Interventions.

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Two key areas: Governance Perpetuation of Hierarchy

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Let us focus on the governance box

Authoritarian Informed by neo-liberal agenda: brutal imposition of Social Darwinism (Ofsted: Bold Beginnings.) Experimentation and learning loops too gross, centralised, delayed and replaced by decree by unexamined alternatives. From the point of view of evolution no emphasis on generating diversity or emergent social benefits.

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More basic problems with our image of governance

Smith/Hayek Committees of Ignoramuses Key information needed to make wise decisions cannot be available. Need to harness the expertise in hearts, heads, and hands of billions of people.

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ADAM SMITH’s management through the market: a dynamic self-managing system par excellence

  • Multiple feedback loops
  • Automatically responds to innovation and change
  • Promotes diversity, evaluation, and evolution
  • Relies on multi-function sensors (people) who vote
  • n basis of feelings as well as things that can be

formulated in words. Most importantly (like the internal governance of

  • rganisms) is embedded in the system itself rather

than standing outside it and controlling it.

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NB: not a money-making system:

An information-based management system with

mo money ney

using a term Neil Smith introduced me to at an earlier meeting,

as an “information marker”

analogous to electronic or chemical pulses in internal management of organisms.

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UNFORTUNATELY THERE ARE A LOT OF PROBLEMS

  • Cannot handle externalities
  • Public goods: health cannot be commoditised

and bought and sold

  • Prices determined by public servants:

accumulation of expedient decisions

  • No money no voting: disproportionate

distribution of tokens & hoarding of stocks

  • Huge mountains of fiat/fictitious money floating

about

  • Most customers not individuals voting with

their pennies but vast corporations and government departments

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So the task is to design an alternative public managemenet system which capitalises on its benefits, overcomes its limitations, and, most importantly, overcomes the gross problems of current public management arrangements. Any such proposal must also indicate how to build on from where we are now. Have proposed one answer in The New Wealth of Nations

(next slide)

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KEY FEATURES

  • Pervasive climate of innovation
  • Creation of multiple options with

documented consequences

  • Comprehensive evaluation
  • Generation and use of research
  • Public servants as wealth creators
  • New job descriptions
  • New means of holding accountable
  • Network supervision: expose to public

gaze: not tell what to do.

  • Informed public choice to provide

feedback

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To get these things we need radical change in the way we think about (public) management..

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It emerges that

the primary task of a manager (public servant) is to create a pervasive climate of innovation and learning. I mean a climate of adventurous experimentation into the unknown, comprehensive evaluation, and appropriate follow through learning, action.

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It is the job of public servants to:

 Create variety.  Arrange for comprehensive evaluation of the short and long-term, personal and social, desired and undesirable consequences of each of the options (expand each).  Feed that information to the public so that they can make informed choices between them.  Make arrangements to involve many more people (especially marginalised groups) in generating the

  • ptions.

 Create a climate of innovation and systems learning and action.

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How to hold them accountable for doing these things?

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By exposing their behaviour to the public gaze!

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John Stuart Mill “The function of a representative assembly is not to govern, a task for which it is eminently unsuited, but to make visible to everyone who did everything and by whose default anything was left undone”.

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And there we have it. The key function of public participation in government is to oversee the management process being performed by public servants; not more.

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This cannot be done by any form

  • f centralised, multi-purpose,

assembly. It can be done via networks of

  • pen supervisory groups having
  • verlapping membership.
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And so we have a new understanding of “Democracy”.

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In my New Wealth of Nations I bring these things together in a systemogram.

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But, before closing, I must just underline the problems posed by what were termed “Sociological Functions” in our systemogram of the educational system.

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Bookchin has termed these “The inexorable onward march

  • f hierarchy”.
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The forces behind this have,

  • ver endless millennia,

undermined all moves toward

  • rganic management

arrangements of the kind I have discussed.

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And, perhaps more importantly, all moves to stem the destruction of the planet along lines suggested by Weizsacker and others involved in the degrowth movement.

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It is therefore vital to conceptualise, map, measure, and find ways of harnessing, the social forces which lie behind this.

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I bring these

  • bservations together in

next two slides

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Way forward: main components Pervasive Climate of Innovation & Experiment + Comprehensive Evaluation Ways of giving teeth to

information

Exposure of the behaviour of public servants to the public gaze Revised Expectation s of Public Servants Policy Research and Developme nt Media Debate & Funding Mavericks

Parallel Organisation Activity

Network based Supervision
  • f Public
Servants Performanc e Appraisal Clarificatio n of Public Interest Collected Dags Temp: diagram25.1 rebuild.docx, jpg, pdf

Diagram 25.1

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EC&MOS.ppt 289/297/299/314

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But note the research box Research includes:

  • Understanding the Social forces which undermine

well-intentioned public action and alternative management arrangements – and have done so for many millennia (despite endless demonstrations of

the viability of alternatives).

  • Challenging notions of reductionist science
  • (In the cases of education) developing meaningful

measures of educational outcomes, curriculum processes etc.

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land yield <Land Fertility> land yield multiplier from technology land yield multiplier from air pollution land yield factor 1 land yield factor 2 <Time> technology development delay Land Yield Technology land yield technology change rate land yield multipler from air pollution 1 land yield multiplier from air pollution 2 air pollution policy implementation time <Time> desired food ratio <industrial output> land yield multipler from air pollution table 2 IND OUT IN 1970 land yield multipler from air pollution table 1 <POLICY YEAR s> <POLICY YEAR s> marginal productivity

  • f agricultural inputs

land yield multiplier from capital marginal land yield multiplier from capital <agricultural input per hectare> marginal land yield multiplier from capital table land yield multiplier from capital table <average life agricultural inputs> industrial capital output ratio multiplier from land yield technology industrial capital output ratio multiplier table land life multiplier from land yield 1 <inherent land fertility> land life multiplier from land yield table 1 land life multiplier from land yield 2 land life multiplier from land yield table 2 <unit agricultural input> land yield technology change rate multiplier 1 land yield technology change rate multiplier 2 land yield technology change rate multiplier table 2 land yield technology change rate multiplier table 1 land yield technology change rate multiplier <food ratio> <land yield policy time s> <Time>

Agricultural Production

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Industrial Capital fraction of industrial output allocated to investment industrial output initial industrial capital average life of industrial capital industrial capital depreciation industrial capital investment average life of industrial capital 1 <average life of industrial capital 2 s> <POLICY YEAR s> <industrial capital output ratio multiplier from resource conservation technology> <fraction of industrial output allocated to agriculture> fraction of industrial output allocated to consumption <fraction of industrial output allocated to services> <capacity utilization fraction> <fraction of industrial capital allocated to

  • btaining resources>

industrial capital output ratio industrial capital output ratio 1 industrial capital output ratio 2 <Time> <industrial capital output ratio multiplier from pollution technology> <industrial capital output ratio multiplier from land yield technology> fraction of industrial

  • utput allocated to

consumption constant fraction of industrial

  • utput allocated to

consumption variable <industrial equilibrium time s> <Time> fraction of industrial output allocated to consumption constant 1 fraction of industrial output allocated to consumption constant 2 <industrial output per capita desired s> industrial output per capita fraction of industrial output allocated to consumption variable table <population> <POLICY YEAR s> <POLICY YEAR s> <Time>

Industrial Productivity

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Service Capital <industrial output> fraction of industrial output allocated to services initial service capital fraction of industrial output allocated to services 1 service capital depreciation service capital investment fraction of industrial output allocated to services 2 <POLICY YEAR s> service capital output ratio 1 fraction of industrial output allocated to services table 2 indicated services

  • utput per capita

service output per capita <population> service output <capacity utilization fraction> service capital output ratio average life of service capital average life of service capital 1 <average life of service capital 2 s> <Time> service capital output ratio 2 <Time> <POLICY YEAR s> <POLICY YEAR s> <Time> <industrial output per capita> fraction of industrial output allocated to services table 1 indicated services

  • utput per capita 1

indicated services

  • utput per capita 2

<Time> indicated services output per capita table 1 indicated services output per capita table 2 <POLICY YEAR s> <GDP pc unit>

Services Output

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labor utilization fraction jobs <labor force> Delayed Labor Utilization Fraction labor utilization fraction delay time potential jobs agricultural sector potential jobs industrial sector potential jobs service sector <Arable Land> jobs per hectare <Industrial Capital> jobs per industrial capital unit jobs per service capital unit <Service Capital> <industrial output per capita> jobs per industrial capital unit table jobs per service capital unit table <service output per capita> <agricultural input per hectare> jobs per hectare table capacity utilization fraction capacity utilization fraction table <unit agricultural input> <GDP pc unit> <GDP pc unit>

Jobs

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<life expectancy> <industrial output per capita> <Arable Land> <Urban and Industrial Land> <persistent pollution generation rate> Human Ecological Footprint Absorption Land (GHA) Arable Land in Gigahectares (GHA) Urban Land (GHA) ha per unit of pollution ha per Gha Total Land Human Welfare Index Education Index GDP Index Life Expectancy Index Life Expectancy Index LOOKUP Education Index LOOKUP GDP per capita GDP per capita LOOKUP Ref Lo GDP Ref Hi GDP <GDP pc unit> <one year> <GDP pc unit> <ha per Gha>