Implementation Theory of Degrowth (6-2): Experiments Can Already Begin—Concrete Sandbox Examples of a Design-Model Economy

Note:

• (The following series is a compilation of a series of dialogues with ChatGPT.
  For details of the dialogue, please refer to the link to the original site.)

Original site (PC viewing recommended):

• [System : 4] Capitalism and the Limits to Growth, Design-Model Economy, Overview of a Sustainable Economy, etc.

Previous article:

Part 6-2: Experiments Can Already Begin

—Concrete Sandbox Examples of a Design-Model Economy

In the previous installment (Part 6), I explained a strategy for advancing the design-model economy not by introducing it suddenly as a "national system," but by proceeding in a small, safe, and learning-oriented manner as an
experimental system sandbox.

However, many of you may have thought the following at this point.

This installment is dedicated to answering that question.
Rather than abstract ideals, I will present several examples of experiments that can be started under current social conditions.

1. Confirming the Prerequisites for Experiments

First, it is important to note that even when we call them "experiments," they must meet the following conditions.

• Do not collide head-on with existing legal systems

• Do not become fatal if they fail

• Be understandable to participants

• Results must be measurable and comparable

A sandbox for a design-model economy is
not a place to prove ideals, but a place to learn.

With that premise, we will look at the following experimental examples.

Supplement: What is the 'Circulation Score' used in this chapter?

The 'Circulation Score' used in this chapter is
not money itself.

In a word, it is

.

For example,

• reducing energy consumption

• reducing waste

• circulating resources and money within the region

• reducing the burden on the future

Such actions
have
hardly been treated as value within the economy until now.

The Circulation Score is
an attempt to visualize
such 'invisible returns' as provisional numerical values.

What is important is

• not aiming for precise measurement

• aligning the direction of actions

• making it usable for comparison and selection

.

This score is not money, but
it can be used for things like

• priority access to public services

• Subsidy systems and participation conditions

• Experimental exchange and preferential rules

and so on can be linked together.

In this chapter, we will
first treat this as a
sandbox experiment in a limited environment called the 'municipal unit'.

In later chapters, we will consider what happens when this is connected on a wider scale—for example, when used at a national or global level.

2. Experimental Example 1: Trial Introduction of 'Circulation Scores' at the Municipal Level

Overview

In a specific municipality,

• energy conservation

• waste reduction

• contribution to regional circulation

and other such actions are visualized as 'Circulation Scores' and granted as
non-monetary but exchangeable points.

Key Points

• Treat as 'administrative points' rather than currency

• Do not link directly to taxes

• Make exchangeable for public service usage or regional benefits

What can be verified

• Does quantified environmental value change behavior?

• Which actions are most effective?

• Will fraud or distortion occur?

This is an extremely small prototype of a "global currency."

3. Experimental Example ②: "Automatic Coefficient-Based Incentives" for Companies

Overview

For corporate business activities,

• environmental impact

• community contribution

• resource efficiency

coefficients are set based oncoefficientsand automatically reflected in subsidies, public procurement, and evaluation scores.

Differences from the conventional approach

• No individual screening

• Use average coefficients for each activity category

• Coefficients are automatically updated periodically

What is new?

Companies are placed in a structure where they

but rather

This is the structure.

This is a shift from a system that demands effort to a system that guides choices.

4. Experimental Example 3: Citizen-Participatory 'Target Value Update Process'

Overview

The policy targets themselves are updated periodically by combining

• expert proposals

• citizen voting

• simulation results

.

What is important is the 'subject of the decision'

What citizens decide is not

• tax rates

• regulatory details

.

It is 'what state to aim for'.

Effects

• Public opinion is reflected in the model as numerical values

• Policy discussions shift from emotional arguments to structural ones

• The locus of responsibility becomes clear

5. Experimental Example ④: Cross-City Comparative Sandbox

Overview

Multiple municipalities use the same model, and after aligning

• goal setting

• coefficient design

• outcome indicators

they conduct comparable experiments.

What happens

• Success stories are not accidental but have 'reproducibility'

• The quality of policies becomes visualized

• Learning speed increases dramatically

This is the first step toward collective intelligence in the economy.

6. Experimental Example ⑤: Trial Operation of Crisis-Only Mode

Overview

Instead of normal times, we enable design-model-based automatic adjustment only during

• disasters

• energy crises

• supply constraint occurrences

.

Benefits

• Easier to reach consensus

• Effects are visible in the short term

• Decision-making during emergencies becomes transparent

Crises are also a "realistic entry point" for institutional change.

7. Common points shown by these experiments

The experimental examples we have looked at so far share common points.

• Everything can be started small

• They do not destroy existing systems

• Results remain as data

• They can be freely expanded or discontinued

In other words,

is the premise upon which they are designed.

This is a completely different approach from traditional "institutional reforms that cannot be reversed once decided."

8. Experiments are "current learning," not "proof of the future"

What I would like to emphasize in closing is that,

is the point.

The goal is to:

• know what works

• know what doesn't work quickly

• learn how to fix it

.

A design-model economy
does not need to appear as a complete system from the start.

Rather, it is something that should begin as a

.

Next Episode Preview

In this installment, we looked at how a design-model economy is "already capable of being experimented with." However, the next question that arises is,

“How does that system actually function?”

Next time, I will explain why a system based on rough weighting (coefficients) does not become overly complex and can change actual economic behavior through a concrete case study. I will carefully trace the mechanism of why a “system without individual screening” is actually more realistic.

> Next article:

▶︎ Related Series Structure

• Implementation Theory of Degrowth (1): Why Question the Premise That “Growth Is Necessary”—The Starting Point for “Redesigning” the Economy

• Implementation Theory of Degrowth (2): Is the Economy a Natural Phenomenon or a Designed System? — Rethinking the Premise of the 'Invisible Hand'

• Implementation Theory of Degrowth (2-2): Rethinking the Engine of Interest — Why Did Growth Become a Premise?

• Implementation Theory of Degrowth (3): Redefining the Economy as an Algorithm — From a 'Science of Empirical Rules' to a 'Designable System'

• Implementation Theory of Degrowth (3-2): Is 'Autopilot' for the Economy Possible? — Designing a Goal-Convergent Economy Through Transparent Algorithms

• Implementation Theory of Degrowth (3-3): Implementation and Feasibility — Answering the Question, 'Does It Really Work?'

• Implementation Theory of Degrowth (3-4): Degrowth, Doughnut Economics, and the 'Design-Model Economy' — Bridging the Gap Between Ideology and Implementation

• Implementation Theory of Degrowth (4): Can Democracy Design the Economy? — A Shift from 'Ex-Post Adjustment' to 'Ex-Ante Design'

• Implementation Theory of Degrowth (4-2): Why Has the Economy Come to Seem 'Inviolable'? — The 'Untouchable Domain' Created by Power, Capital, and Ideology

• Implementation Theory of Degrowth (5): Can Citizens Participate in Economic Design? — Beyond 'Democracy as Just Voting'

• Implementation Theory of Degrowth (6): Economic Systems Starting from Experiments — The Realistic Strategy of Sandboxes

• Implementation Theory of Degrowth (6-2): Experiments Can Already Begin — Concrete Sandbox Examples of a Design-Model Economy --- This Article

• Implementation Theory of Degrowth (6-3): How Systems Work — How Coarse Weighting Changes the Economy

• Implementation Theory of Degrowth (7): Can a Design-Based Economy Become an Academic Discipline?—The Approach of 'Expanding' Economics

• Implementation Theory of Degrowth (8): Money Is Not a Natural Object—Global Currency and the Dual Currency Concept

• Implementation Theory of Degrowth (9): Start Small and Change the World—Strategies for Introducing a Design-Based Economy into Reality

• Implementation Theory of Degrowth (10): The Choice to Redesign the Economy—Toward an OS Update for Civilization

• Implementation Theory of Degrowth (10-2): Proposal

• Implementation Theory of Degrowth (10-3): Executive Summary

> Original Site (PC viewing recommended):

• [System : 4] Capitalism and the Limits to Growth, Design-Model Economy, Overview of a Sustainable Economy, etc.

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Finally...

▼ A Call for a 'Quiet Revolution':