We can debate (with experts) what this might actually mean, but let's assume that China has adopted the precise definition of Stability used in Systems Theory (see the Notes below).
The graphic above presents two future forecasts for CN1, the first state variable component of the CNL20 model. The upper graph shows the time path of the unstable system: Exponential growth forever. The lower graph shows the time path for the stabilized system: Steady State after 2152--a long time in the future.
The graphic makes the point that growth in China can continue well into the future under a stable Economic System. The next question is: How much effort would it take to stabilize the system? The answer is that a relatively small change in growth rates would put the Economy of China on a stable growth path. Compare the "unstable system matrix (F) in the Notes below to the "stable" System Matrix. The diagonal elements of F (the growth rates) have been change only slightly to create a stable system. And notice that CN2, the Malthusian-Unemployment controller is still quite reactive (above unity). In other words, the Authoritarian System can still keep a tight control on Unemployment and stabilize overall growth.
China can evolve into a stable system without practical limits on the overall Growth rate of the System!
If this is what Constructive Strategic Stability actually means, it is quite doable. A similar stability program could be applied to the US_LM model** but the results would be very different, creating a wildly cyclical system. For this (and many other reasons) I would not expect the US to cooperate in Constructive Strategic Stability regime.
Notes
System Stability is determined by the Eigenvalues of the System Matrix, F.
** Instructions for stabilizing the US_LM modelare contained in R-code on the Google Site. Also notice that the US_LM model is not a Malthusian model in that control of employment involves the Export market.
CNL20 Measurement Model
Three component state variables explain 99.4% of the variation in the indicators: CN1 is an historical growth controller, meaning that growth is directly controlled in an Authoritarian economy, compared to the USL20W model where overall growth does not have an historical controller. CN2 is a Malthusian-Unemployment Controller. CN3 is a Globalization-Unemployment-Energy controller.
The Human Development Index is likely to be driven, in the future, by the World System which is currently in Growth-and-Collapse model.
Stagnation-and-collapse will not be a believable forecasts for optimistic commentators, but it is hard to see how Human Development will stabilize if the World System is in collapse mode.
First, let me discuss how my version of the HDI (WL20_HDI) was constructed. I felt it was necessary to recreate the index and address criticism of the UN's methodology. One general criticism is that the HDI has not be located globally within the World-System(I do that in this post). From Wikipedia (here):
The removal of literacy from HDI has been criticized because educational attainment evaluates only the quantity of education but not the quality or the outcomes of education and can result in perverse incentives.
The indicators I have chosen to reconstruct the index (see Codes below) address some of these criticisms. From a comparison of WL20_HDI to the UN HDI (see below) both indexes show similar time paths over the Long Twentieth Century, although the UNDP does not not fit a model that can account for the approaching Steady State.
So, yes the HDI has stagnated or reached a steady state. On the other hand, the best model for the HDI is a Random Walk which suggests that future predictions are not certain and collapse is possible.
COMMENT: The intent of the UN HDI was to switch the focus from GDP, as a measure of progress, to "Human" measures of progress. From the standpoint of Systems Theory, however, neither is adequate without a measure of System State. And, what is interesting about the WL20_HD, currently, is that the State of the WL20 Modelis not the best predictor.
The Human Development Index (HDI) is a statistical composite index of life expectancy, education (mean years of schooling completed and expected years of schooling upon entering the education system), and per capita income indicators, which is used to rank countries into four tiers of human development.
Country Distribution of the HDI Index
The highest level of HDI is in Norway while the lowest is in Niger. The World System is right in the middle while the US is in the top of the distribution (but has been loosing ground over the Long Twentieth Century). Notice that the UN HDI index is highly correlated with my HDI index and also appears to be reaching a steady state.
WL20 HDI Measurement Model
Two components of my constructed HDI index (constructed with Principal Components) explain 99.8% of the variation in the indicators. HDI1 is a measure of overall growth in the indicators. HD2 is an historical controller balancing Life Expectancy against growth in the other indicators.
The WL20 HDI Index is largely unidimensional with the second component (HD2) acting as an historical controller before 1980 but not afterward (time plot above).
WL20 HDI Codes
The definition of codes in my WL20 HDI index is presented above.
WL20 HDI BAU Model
The WL20_HDI BAU model is stable and, from the graphic at the beginning of the article, reaches a steady state around 2100. The growth rate for my HDI index has been slowing since after 2000.
Since the Growth Component (W1) of the WL20 Model is expected to peak before 2050, the World System is predicted to be in growth-and-collapse mode. Even though the World Systemis not the best predictor of the HDI Index, that could change in the future.
The graphic above shows a growth forecast (US1 with prediction intervals)** from the USL20 Model driven by World System Input (W-Input). The model predicts growth-and-collapse, with collapse starting around 2060 (attractor path growth rates have been declining since around 2010).
On the other hand, the graphic above shows a growth forecast (US1 with prediction intervals) from the USL20 ModelBAU model. I interpret the Business-as-Usual (BAU) model as the System Theoretic implementation of the MAGA geopolitical agenda ("Go It Alone" with no input from other countries, regions or the World System). Notice first that the prediction intervals are much, much wider than the W-Input model. There is still a small probability of hegemonic collapse (the lower 98% prediction interval). In other words, the MAGA vision is exponential growth forever with only a slight chance, if any, for collapse. Given the width of the USL20 ModelBAU model prediction intervals, however, it is a very risky strategy. Donald Trump, at least, is someone who demonstrates a very high tolerance (if not complete disdain) for risk.
** US1 is an equal weighting of all the indicators variables defining the US State Space and created using Principal Components Analysis (PCA)--see the Boiler Plate and below. The system state is defined as "the minimal collection of independent variables (the principal components) that explain the state variable indicators (the measurement model) and the future path of the system (the state space model)".
*** Trump's declining mental health, a strong strain of stupidity in American politics, a new stage of Crony Capitalism, the extremist coalition that shapes Right-Wing politics in the US, etc. etc.
Among many confusing justifications for the US attacking Iran is the threat of Nuclear War. President Trump has made it repeatedly clear that "Iran Cannot Have a Nuclear Weapon". This rationale for War is based on the assumption that the US has some fundamental interest in a Middle East War. Aside from the disruption of Oil Supplies (which is already happening as a result of War), what would be the consequences for the US of a Nuclear War in the Middle East? This post explores that question.
The computer simulation in the video above maps out what might happen in the Middle East.