The Juglar cycle is a mid-cycle driven primarily by equipment replacement and capital expenditure, empirically running 7 to 10 years per round. The framework’s central claim is that the essence of the Juglar cycle is a corporate ROE cycle driving fixed-asset investment — after the DuPont three factors (net profit margin / total asset turnover / micro-leverage ratio) bottom out in sequence, the synthesized ROE trough leads the start of a new round of equipment investment, thereby providing an actionable leading signal. Policy can exogenously interrupt this endogenous mechanism; the China–US divergence that emerged after the synchronized trough reached by China, the US, and Europe in late 2015 following their subsequent policy bifurcation is a typical case.
The Framework As It Stands
This section is compiled from the research drafts: it preserves the original framework’s structure, terminology, and key formulations, including editorial bridging and supplementary external facts; diagrams are drawn by the compiler following the original text’s structure.
I. Definition and Measurement of the Juglar Cycle
Juglar cycle = driven primarily by equipment replacement and capital expenditure; one round spans 7 to 10 years.
Two commonly used measurement indicators:
- Central-bank survey of equipment utilization among 5,000 industrial enterprises (intensity of equipment use)
- Fixed-asset investment (scale of corporate capital expenditure)
II. Six Rounds in China over 50 Years
Over the past 50 years China has experienced six Juglar cycles (the sixth round was still incomplete as of the course recording in December 2018):
| Round | Period |
|---|---|
| First | 1968–1976 |
| Second | 1977–1987 |
| Third | 1988–1998 |
| Fourth | 1998–2008 |
| Fifth | 2009–2016 |
| Sixth | Bottomed in 2016 and still unfinished at that time |
III. The Essence: An ROE Cycle Driving Fixed-Asset Investment
Core mechanism: the essence of the Juglar cycle is a corporate ROE cycle driving corporate fixed-asset investment — ROE bottoms out ahead of a new round of investment; tracking the recovery of corporate profitability (ROE) enables advance warning of the turning point in equipment investment / manufacturing mid-cycles.
DuPont three-factor decomposition of ROE:
- Net profit margin
- Total asset turnover
- Micro-leverage ratio
The three factors bottom out in sequence → synthesized ROE troughs → ROE leads the start of a new round of fixed-asset investment (the Kuznets long-cycle real estate chain forms the macro backdrop).
IV. The Self-Reinforcing Volatility Mechanism
Capex↑ → ROE↑ (profit expansion phase)
↓ marginal return on investment declines after peak
Manufacturing investment↓ + economic contraction phase
↓ ROE bottoms and rebounds
New round of investment and economic trough (next Juglar cycle begins)V. Exogenous Policy Interrupting the Endogenous Cycle: China–US Divergence
In late 2015, the Chinese, US, and European economies bottomed out roughly in sync; after 2016, markedly different divergences emerged as each country made different policy choices:
- United States: After 2016, pro-cyclical tax cuts continued to expand; forecast at the time of the course to persist until the Juglar peak in 2019 or 2020 (course-era projection).
- China: In the second half of 2017, proactive deleveraging was launched, interrupting the current Juglar cycle’s progress and pushing nominal growth lower.
Historical divergence reference: over the past 20 years the China–US business cycle has diverged in only three periods, of which 1996Q1–1997Q3 (US expanding, China contracting) most resembled the situation at the time.
Timing note: the six-round periodization, the sixth round’s “trough in 2016 through the present,” and the US “expected to peak in 2019/2020” are all historical empirical values and projections current at the time of the course (recorded December 2018). Judging “where one currently stands in the Juglar cycle” requires using current ROE / DuPont three-factor / equipment-utilization / fixed-asset-investment data; the historical round years must not be applied as a proxy for present conditions.
Compiler’s Perspective
Coordinates: Category = cognitive algorithm · axis_h = Fa · axis_v = Why It Is So
Soul-anchor connection:
Tracking year-on-year growth in fixed-asset investment directly to judge whether the manufacturing mid-cycle has turned is the most common operational path used before engaging this framework. The specific erroneous action: in 2016, the equipment utilization rate among Chinese industrial enterprises had already bottomed and started recovering, and the net profit margin among the DuPont three factors had begun to repair, yet fixed-asset investment growth was still at a low level (2016 full-year fixed-asset investment growth ≈ 8%, a multi-year low). Many analysts therefore judged that the manufacturing mid-cycle had not yet turned — which happened to miss the transmission lag built into the mechanism by which ROE leads investment. The operational logic the framework provides is: the DuPont three factors bottoming out in sequence is the leading signal; fixed-asset investment rising is the lagging confirmation; the two being out of sync is determined by the mechanism itself, not a signal malfunction.
The exclusive operability of the DuPont three factors: this framework does not stop at the conclusion that “ROE leads investment” — it decomposes down to the three factors: net profit margin (price/cost structure), total asset turnover (capacity utilization / inventory digestion), and micro-leverage ratio (balance-sheet repair). The three bottom out in sequence rather than simultaneously, which means there is a time window to progressively confirm the ROE trough rather than having to wait until the synthesized ROE value itself has bottomed before acting. This is a more granular, proprietary numerical mechanism in this entry than the conclusion “ROE leads investment” alone.
Connection to The Demographic Cycle: Twenty Years of Structural Change and the Engineer Dividend: demographics (the long cycle) determine which manufacturing sectors can accumulate enough engineer-dividend depth to enter mid-to-high-end production; the Juglar cycle (the mid-cycle) determines the pace of capital-expenditure expansion in those sectors. The engineer dividend is the structural reason why Chinese manufacturing ROE during the Juglar expansion phase did not collapse systematically due to rising labor costs.
Results precede causes · the event-projection blueprint: ROE bottoms first (profitability results have already appeared on the balance sheet) ahead of the start of fixed-asset investment (capital-expenditure behavior only then occurs) — this is precisely the mid-cycle version of the “results precede causes” mechanism. By analogy, the exogenous policy interruption (the 2017 deleveraging) inserts a new “cause” into the middle of the ROE recovery process, causing the endogenous blueprint projection to be cut short, and the cycle rhythm therefore diverges from that of the United States.
See Also
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The Kuznets Cycle: Positioning the Long Real Estate Cycle and the Four Layers of Housing Prices (the other segment from the same source 3.3; the Juglar cycle operates nested within the Kuznets cycle)
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The Demographic Cycle: Twenty Years of Structural Change and the Engineer Dividend (the structural support of the engineer dividend for manufacturing ROE)
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The Nature of Macro Research and the Sense of Position (sense-of-position methodology: locating the Juglar phase is an operation at the mid-cycle layer)
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Finding High Probability Through Empirical Regularities: Six Case Studies in Practice (how to use the 7–10-year cycle’s historical rounds under an empirical-regularity perspective)
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The Four Phases of the Inventory Cycle: Diagnosing the Short Cycle
Sources
- Compiled draft z-0104 · catalogued 2026-07
- Juglar, C. (1862). Des crises commerciales et de leur retour périodique en France, en Angleterre et aux États-Unis. Paris: Guillaumin.
- (course estimate) · recorded December 2018, de-identified on cataloguing, only the framework proper entered into the archive