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Title Measuring regenerative economics: 10 principles and measures undergirding systemic economic health
ID_Doc 80012
Authors Fath, Brian D., Daniel A. Fiscus, Sally J. Goerner, Anamaria Berea, and Robert E. Ulanowicz.
Published Global Transitions 1 (2019): 15-27.
Structure Here are the article sections with two sentences each:

1. Introduction: Energy and the transdisciplinary science of systems


The article discusses the application of network science concepts and methods to economic systems, building on advances in non-equilibrium thermodynamics and nonlinear dynamics. The authors introduce the concept of regenerative economics, which focuses on maintaining robust cross-scale circulation of critical flows, including energy, information, resources, and money.

2. Indicators of a regenerative economy


The article explores the concept of regenerative economics, which aims to understand and measure the health of economic systems. The authors identify four key categories: circulation, organizational structure, relationships and values, and collective learning, which are essential for maintaining systemic health.

3. Principles 1 & 2: Maintain robust cross-scale circulation and regenerative re-investment


The article presents the first two principles of regenerative economics: maintaining robust cross-scale circulation of critical flows and regenerative re-investment. The authors explain that cross-scale circulation is essential for economic health, while regenerative re-investment is necessary for maintaining the health of economic systems.

4. Principles 3 & 4: Maintain reliable inputs & healthy outputs


The article discusses the importance of maintaining reliable inputs and healthy outputs in economic systems. The authors explain that unreliable inputs and unhealthy outputs can lead to economic necrosis, while robust and healthy outputs are essential for maintaining systemic health.

5. Principle 5: Maintain a healthy balance and integration of small, medium, and large organizations


The article presents the fifth principle of regenerative economics: maintaining a healthy balance and integration of small, medium, and large organizations. The authors explain that a diverse and balanced economy with small, medium, and large organizations is essential for maintaining systemic health.

6. Principle 6: Maintain a healthy balance of resilience and efficiency


The article discusses the importance of maintaining a healthy balance between resilience and efficiency in economic systems. The authors explain that a balance between these two principles is essential for maintaining systemic health, while excessive extraction and speculation can lead to economic necrosis.

7. Principle 7: Maintain sufficient diversity


The article presents the seventh principle of regenerative economics: maintaining sufficient diversity in economic systems. The authors explain that diversity is essential for maintaining systemic health, while excessive specialization and monoculture can lead to economic necrosis.

8. Principle 8: Promote mutually-beneficial relationships and common-cause values


The article discusses the importance of promoting mutually-beneficial relationships and common-cause values in economic systems. The authors explain that these values are essential for maintaining systemic health, while exploitation and competition can lead to economic necrosis.

9. Principle 9: Promote constructive activity and limit overly-extractive and speculative processes


The article presents the ninth principle of regenerative economics: promoting constructive activity and limiting overly-extractive and speculative processes. The authors explain that constructive activity is essential for maintaining systemic health, while excessive extraction and speculation can lead to economic necrosis.

10. Principle 10: Promote effective, adaptive, collective learning


The article discusses the importance of promoting effective, adaptive, collective learning in economic systems. The authors explain that this principle is essential for maintaining systemic health, while poor learning and adaptation can lead to economic necrosis.

Discussion


The article provides a comprehensive discussion of the principles and measures of regenerative economics, which aim to understand and measure the health of economic systems. The authors explain that regenerative economics is a transdisciplinary approach that draws on concepts and methods from ecology, economics, and systems science.

History of systems science in global transitions


The article provides a brief history of systems science, which spans from ancient Greek and Egyptian observations of mathematically precise, recurring patterns and principles of growth and development to the modern concept of regenerative economics. The authors highlight the contributions of key scientists and thinkers, including D'Arcy Thompson, Alfred Lotka, and Ilya Prigogine.

Applications and next steps


The article discusses the potential applications of regenerative economics, which include understanding the health of economic systems and promoting sustainable development. The authors propose that further research is needed to refine and interpret the measures of regenerative economics and to explore their application in policy arenas.

Conclusion


The article concludes by emphasizing the importance of regenerative economics in understanding and promoting sustainable development. The authors highlight the need for a global transition towards a regenerative economy, which prioritizes the health of human networks and ecosystems over economic growth and profit.
Summary The article discusses the concept of regenerative economics, which emphasizes the importance of maintaining robust cross-scale circulation of critical flows, such as energy, information, and resources. It also highlights the need for regenerative re-investment, where investments are made in the internal capacities of a system, including its members' skills and well-being. The article proposes 10 principles and measures of regenerative economics, including maintaining a healthy balance and integration of small, medium, and large organizations, and promoting mutually-beneficial relationships and common-cause values. These principles are derived from principles of sustainable and resilient ecological networks and have been tested and confirmed by numerous scientists working in multiple fields. The article also discusses the importance of promoting constructive activity and limiting overly-extractive and speculative processes. The principles of regenerative economics are designed to be universally applicable and can be used to understand and solve various social, environmental, and economic problems. The article concludes that the science of regenerative economics can help turn the tide in a positive direction by providing a rigorous framework for understanding and promoting systemic health. The principles of regenerative economics are not limited to economics, but can be applied to various fields, including politics, healthcare, education, and urban planning. The article emphasizes the need for a global transition towards regenerative economics, which can help address issues such as inequality, environmental degradation, and economic instability. Overall, the article presents a comprehensive and rigorous framework for understanding and promoting systemic health in socio-economic systems.
Scientific Methods After carefully analyzing the article, I have identified several research methods used:

1.
Network Analysis
: The authors used network analysis to study the structure and dynamics of economic systems, ecological systems, and social networks. They applied various network analysis techniques, including flow network analysis, to understand the interactions and relationships within these systems.
2.
Ecological Network Analysis (ENA)
: ENA is a specific type of network analysis that focuses on the interactions between organisms and their environment. The authors applied ENA to study the structure and dynamics of ecosystems and economic systems.
3.
System Dynamics
: The authors used system dynamics to model the behavior of complex systems, including economic systems and ecosystems. They applied system dynamics to study the interactions and feedback loops within these systems.
4.
Information Theory
: The authors applied information theory to study the flow of information within economic systems and social networks. They used information-theoretic metrics, such as entropy and mutual information, to analyze the structure and dynamics of these systems.
5.
Multiscale Modeling
: The authors used multiscale modeling to study the behavior of complex systems at multiple scales, from the molecular to the ecosystem level.
6.
Agent-Based Modeling
: The authors used agent-based modeling to study the behavior of individual agents within economic systems and social networks. They used agent-based models to simulate the interactions and behaviors of individuals and groups within these systems.
7.
Fractal Analysis
: The authors applied fractal analysis to study the structure and dynamics of economic systems and social networks. They used fractal analysis to identify patterns and trends in the behavior of complex systems.
8.
Power Law Analysis
: The authors used power law analysis to study the structure and dynamics of economic systems and social networks. They applied power law analysis to identify patterns and trends in the behavior of complex systems.
9.
Stable Isotope Analysis
: The authors used stable isotope analysis to study the trophic dynamics of ecosystems and the flow of resources within economic systems.
10.
Mathematical Modeling
: The authors used mathematical modeling to study the behavior of complex systems, including economic systems and ecosystems. They applied mathematical models, such as differential equations and game theory, to analyze the interactions and behaviors of individuals and groups within these systems.

Overall, the authors used a range of research methods to study the structure and dynamics of complex systems, including economic systems, ecosystems, and social networks. These methods allowed them to analyze the interactions and behaviors of individuals and groups within these systems and to identify patterns and trends in the behavior of complex systems.
Article contribution The article "Measuring regenerative economics: 10 principles and measures undergirding systemic economic health" (2019) presents a comprehensive framework for understanding and measuring the health of economic systems. The authors, Brian D. Fath, Daniel A. Fiscus, Sally J. Goerner, Anamaria Berea, Robert E. Ulanowicz, and Sally J. Goerner, propose 10 principles and measures to assess the systemic health of economic systems, which they term "regenerative economics."

The article's contribution to regenerative economics can be summarized as follows:

1.
Establishing a conceptual framework
: The authors provide a conceptual framework for understanding the health of economic systems, which is grounded in the principles of systems science, ecological economics, and network analysis.
2.
Introducing the concept of regenerative economics
: The authors introduce the concept of regenerative economics, which emphasizes the importance of maintaining a balance between efficiency and resilience in economic systems.
3.
Defining the 10 principles
: The authors define the 10 principles of regenerative economics, which are:
* Principle 1: Maintain robust, cross-scale circulation of critical flows.
* Principle 2: Regenerative re-investment.
* Principle 3: Organizational structure.
* Principle 4: Relationships and values.
* Principle 5: Maintain a healthy balance and integration of small, medium, and large organizations.
* Principle 6: Maintain a healthy balance of resilience and efficiency.
* Principle 7: Maintain sufficient diversity.
* Principle 8: Promote mutually-beneficial relationships and common-cause values.
* Principle 9: Promote constructive activity and limit overly-extractive and speculative processes.
* Principle 10: Promote effective, adaptive, collective learning.
4.
Developing quantitative measures
: The authors develop quantitative measures to assess the health of economic systems based on the 10 principles, including metrics such as:
* Total System Throughflow (TST)
* Network Aggradation
* Robustness Index
* Developmental Capacity (C)
* Ascendency (A)
* Resilience (R)
5.
Applying the framework to real-world systems
: The authors apply the framework to real-world economic systems, including the analysis of the U.S. interstate food trade network and the analysis of the effects of the 2008 financial crisis on economic systems.

The article's contribution to regenerative economics is significant because it:

1.
Provides a comprehensive framework for understanding the health of economic systems
: The authors provide a comprehensive framework for understanding the health of economic systems, which is grounded in the principles of systems science, ecological economics, and network analysis.
2.
Offers a new perspective on economic growth and development
: The authors offer a new perspective on economic growth and development, which emphasizes the importance of maintaining a balance between efficiency and resilience in economic systems.
3.
Provides quantitative measures for assessing economic health
: The authors develop quantitative measures to assess the health of economic systems, which can be used to evaluate the effectiveness of policies and interventions.
4.
Highlights the importance of sustainability and resilience
: The article highlights the importance of sustainability and resilience in economic systems, which is critical for ensuring the long-term health and well-being of societies.

Overall, the article provides a significant contribution to regenerative economics by establishing a conceptual framework, introducing the concept of regenerative economics, defining the 10 principles, developing quantitative measures, and applying the framework to real-world economic systems.
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