1 Measuring Regenerative Economics: 2 10 principles and measures undergirding systemic economic health 3 4 Brian D. Fath1,2,,3*, Daniel A. Fiscus3,4, Sally J. Goerner3, Anamaria Berea3,5, 5 Robert E. Ulanowicz3,6, 6 7 1. Department of Biological Sciences, Towson University, Towson, MD, USA 8 2. Advanced Systems Analysis Program, International Institute for Applied System Analysis, Laxenburg, Austria 9 3. Research Alliance for Regenerative Economics (RARE) 10 4. Western Maryland Food Council, Cumberland, MD, USA 11 5. University of Central Florida, Orlando, FL, USA 12 6. University of Maryland (Emeritus), Solomons, MD, USA and University of Florida, Gainesville, FL, USA 13 14 * corresponding author: BD Fath:
[email protected], 410-704-2535 15 16 17 Abstract 18 Applying network science concepts and methods to economic systems is not a new idea. In the 19 last few decades, however, advances in non-equilibrium thermodynamics (i.e., self-organizing, 20 open, dissipative, far-from-equilibrium systems), and nonlinear dynamics, network science, 21 information theory, and other mathematical approaches to complex systems have produced a 22 new set of concepts and methods, which are powerful for understanding and predicting behavior 23 in socio-economic systems. In several previous papers, for example, we used research from the 24 new Energy Network Science (ENS) to show how and why systemic ecological and economic 25 health requires a balance of efficiency and resilience be maintained within a particular a 26 “window of vitality”. The current paper outlines the logic behind 10 principles of systemic, 27 socio-economic health and the quantitative measures that go with them.