This framework takes the already-advanced reforms of the four structural problems as its starting point and traces the three side effects generated by earlier policy measures (supply-side reform causing an imbalanced profit distribution between upstream and downstream; shadow-banking regulation causing the disappearance of a credit-pricing benchmark; and real-economy deleveraging causing infrastructure growth to overshoot). It then introduces Ray Dalio’s three-way taxonomy of deleveraging, establishes “nominal growth rate exceeding nominal interest rate” as the core yardstick of beautiful deleveraging, and documents the policy shift—observed in January 2019—of China’s transition from rapid deleveraging toward beautiful deleveraging.

The Framework As It Stands

This section is organized according to compiled research drafts: the original framework’s structure, terminology, and key formulations are preserved, including editorial bridges and factual footnotes from external sources; charts are drawn by the compiler following the structure of the original text.

Opening: Side Effects Begin to Surface

The framework’s starting point is: the reform of the four structural problems has already been pushed forward, but the structural problems persist, and the side effects of earlier measures are beginning to surface (5.3 L5). All three side effects are the result of “governance actions interrupting some market-clearing mechanism.”

The formation of the four structural problems is covered in The Four Structural Problems and the Reform Path: The Common Property-Infrastructure Root and Playing from the Periphery Inward; the channel through which resource concentration transmits to asset pricing is addressed separately in Policy Pricing by Objective Effect: Not the Intent, Only the Actual Effect.

Side Effect ①: Supply-Side Reform Causing Upstream-Downstream Profit Distribution Imbalance

Proposition: Supply-side reform led to an imbalanced distribution of profits between upstream and downstream sectors (5.3 L7).

Data observation (2018, cited in the course in January 2019): In 2018, the growth rate of coal consumed for power generation oscillated downward (contraction in economic volume), yet the South China Industrial Goods Index stayed elevated or even oscillated higher (upstream prices did not adjust downward with the economic contraction) (5.3 L7).

The interrupted market mechanism: The framework stresses that an economic contraction objectively requires upstream prices to fall so as to release profit space for the downstream—this is the deflationary clearing mechanism: upstream prices fall → downstream costs decline → profits released → downstream investment recovers → economy rebounds (5.3 L9). Because of supply-side restrictions, upstream prices could not adjust effectively, blocking the market-clearing mechanism (5.3 L9).

Data anchor: According to National Bureau of Statistics data, in January–September of that year, the top four upstream industries accounted for 76% of total new profits among industrial enterprises (5.3 L11). Upstream industries are dominated by state-owned enterprises; downstream by private enterprises; the upstream-downstream profit imbalance became a contributing factor in the SOE-versus-private-enterprise issue (5.3 L11).

Pressure localization: Tax-and-fee burdens had been the same for the past several years (tax rates had not suddenly risen), whereas the marginal change most responsible was in upstream raw-material costs—this was the critical pressure point in the economy (5.3 L13).

Side Effect ②: Shadow-Banking Regulation Causing the Disappearance of the Credit-Pricing Benchmark

Proposition: Shadow-banking regulation brought about the disappearance of the credit-pricing benchmark (5.3 L17).

Endogeneity of complex finance: China has a “complex finance” structure, endogenous in character: China’s high savings rate, dominance of indirect financing, and long credit chains led it to generate a shadow financing system outside the banking sector (5.3 L19).

The core function of shadow banking: The core function of off-balance-sheet financing was “credit pricing”—non-bank institutions assisted banks in pricing and structuring products for high-risk funds, using “risk-for-return” logic to determine financing costs for small and medium enterprises with low credit ratings, no collateral, and no endorsements (5.3 L21).

The mechanism by which the benchmark disappeared: After shadow-banking regulation, this credit-pricing benchmark disappeared; with off-balance-sheet assets moving back on-balance-sheet, banks were unwilling to lend to high-risk SMEs at the 6%–8% on-balance-sheet cost of funding (5.3 L23). The on-balance-sheet lending rate functioned as a “maximum price ceiling” in economic terms, and a price ceiling readily produces shortage—this is precisely the background of difficult and expensive financing for SMEs (5.3 L23).

Side Effect ③: Real-Economy Deleveraging Causing Infrastructure Growth to Overshoot

Proposition: Infrastructure growth overshot during the process of real-economy deleveraging (5.3 L27).

The re-investment role of local governments: Beyond general public expenditure, local governments also assume re-investment functions (primarily infrastructure), and this is the objective reason for China’s relatively high macro leverage ratio (5.3 L29).

Infrastructure externalities: ROE/ROIC cannot fully measure the value of infrastructure—this is the “externality” of infrastructure (example: the Guangzhou–Shenzhen high-speed rail reduced travel between the two cities to over 30 minutes, generating gains in commuting efficiency, expanded urban radius, and support for new urban-industrial belts) (5.3 L31).

Overshoot data: Infrastructure growth declining from the prior three years’ 15% to roughly the level of nominal GDP was reasonable, but in this cycle it fell from 10% at one point to zero growth or even lower in a single month—which constituted overshoot to some degree (5.3 L33).

Corrective Yardstick: Ray Dalio’s Three-Way Taxonomy of Deleveraging

The framework introduces Ray Dalio’s classification of deleveraging into three types (5.3 L37):

TypeMechanismDrawback
Inflationary deleveragingPrint more money; dissolve liabilities through monetary expansion (5.3 L39)Unfair to low-income groups (those without assets to hedge against inflation)
Deflationary deleveragingHalt new construction; apply all income to debt repayment (5.3 L41)No new projects during the repayment period, causing sustained economic contraction; new deflationary forces emerge and some firms are forced to relever
Beautiful deleveragingCombines both; ensures nominal growth rate exceeds nominal interest rate (5.3 L43)Sustainable: resolves problems within the context of ongoing development

Core principle of beautiful deleveraging: Ensure nominal growth rate exceeds nominal interest rate (5.3 L43). Example: if local government debt carries a cost of 7%–8%, nominal economic growth must stay above 7%–8% for the deleveraging process to be sustainable (5.3 L43).

Policy Correction: From Deleveraging → Stabilizing Leverage → Beautiful Deleveraging (Judgment as of January 2019)

The framework records: China’s deleveraging policy was transitioning from “rapid deleveraging” toward “beautiful deleveraging” (5.3 L47).

Policy signal: On October 29, 2018, Vice Premier Liu He pointed out that prices in excess-capacity sectors had returned to equilibrium and supply-demand conditions had improved, and that the next priority should be to enhance the vitality, resilience, and creativity of micro-level market players (5.3 L47).

Three-stage transition: This marked the policy’s conceptual shift from rapid deleveraging → stabilizing leverage → beautiful deleveraging (5.3 L49).

Reasoning Framework

Reforms on the four structural problems have been pushed forward, but side effects of earlier measures are beginning to surface [5.3 L5]
    ↓ Three side effects (all are results of "governance actions interrupting some market mechanism")
① Supply-side reform → upstream-downstream profit distribution imbalance [L7]
   Economic contraction should prompt upstream prices to fall and release downstream profit space
   (deflationary clearing: prices fall → costs ↓ → profits ↑ → investment ↑ → recovery) [L9]
   But supply restrictions kept upstream prices from adjusting → market clearing mechanism blocked [L9]
   Evidence: Jan-Sep, top 4 upstream industries accounted for 76% of new industrial profits [L11];
   upstream = SOEs / downstream = private firms → SOE-vs-private issue [L11]
   Key pressure = marginal change in upstream raw-material costs is largest (not taxes) [L13]
② Shadow-banking regulation → credit-pricing benchmark disappears [L17]
   Endogeneity of complex finance (high savings / indirect financing / long credit chains) → off-balance-sheet system [L19]
   Core function of shadow banking = credit pricing (non-banks use "risk-for-return" to price high-risk SMEs) [L21]
   After regulation the benchmark is gone; banks unwilling to lend to high-risk SMEs at 6-8% on-balance-sheet [L23]
   On-balance-sheet rate = economic "price ceiling" → shortage → SME financing difficult/expensive [L23]
③ Real-economy deleveraging → infrastructure growth overshoots [L27]
   Local governments assume re-investment (infrastructure) = objective reason for high macro leverage (growth engine) [L29]
   Infrastructure has externalities: ROE/ROIC cannot fully measure its value (Guangzhou–Shenzhen rail example) [L31]
   From 15% → nominal GDP is reasonable, but from 10% at one point to zero growth or even lower in a single month = overshoot [L33]
    ↓ Corrective yardstick: Dalio's three-way taxonomy of deleveraging [L37]
Inflationary deleveraging = monetary expansion to dissolve debt (effective but unfair to low-income groups) [L39]
Deflationary deleveraging = halt construction and repay (clean but economy keeps declining during repayment) [L41]
Beautiful deleveraging = ensure nominal growth rate > nominal interest rate
   (local debt cost 7-8% → nominal growth must be 7-8%+; resolve problems within ongoing development) [L43]
    ↓ Policy correction (judgment as of January 2019)
China transitioning from "rapid deleveraging" toward "beautiful deleveraging" [L47]
Signal: 2018-10-29 Liu He speech (excess-capacity prices return to equilibrium; enhance vitality, resilience, creativity of micro players) [L47]
=> Policy thinking: rapid deleveraging → stabilizing leverage → beautiful deleveraging [L49]

Time-point caveat (2019-01): The assessment of the three side effects (including the January–September data showing “top four upstream industries accounting for 76% of new industrial profits” and infrastructure declining from 10% to zero growth at one point), and the judgment that “China is transitioning from rapid deleveraging toward beautiful deleveraging,” all reflect the state as of the course’s recording (January 2019). To assess where current deleveraging / SME financing / infrastructure growth stands, current official data must be consulted (total social financing, SME lending rates, and recent infrastructure investment growth have all seen new developments); mark accordingly — do not treat the 2019 state as the present.

Compiler’s Perspective

Coordinates: China and Great-Power Rivalry · Shu · Why It Is So

Connecting Layer

The exclusive incremental value of this entry is that it reveals the shared language underlying the three side effects as administrative distortion of price mechanisms — Side Effect ① concerns commodity prices (supply-side restrictions prevent upstream price clearing); Side Effect ② concerns the price of money (the on-balance-sheet rate as a price ceiling causing a credit shortage); Side Effect ③ concerns the “implicit price” of government investment (infrastructure externalities make ROE/ROIC an inadequate measure). All three side effects share the same logical root: governance actions severed the transmission of price signals, and once price signals are absent, resource allocation goes wrong. This “three side effects = three types of price distortion” mapping is a structure that can only be constructed by reading the full text of this entry.

The specific erroneous move of the old way of thinking: seeing that SMEs had difficulty obtaining financing, attributing it to a “bank risk-aversion mentality” or “insufficient SME creditworthiness,” thereby bypassing the institutional cause of shadow-banking regulation — once the credit-pricing benchmark disappeared, the 6%–8% on-balance-sheet bank rate itself constituted a structural exclusion of high-risk borrowers (price ceiling → shortage). This is a price-mechanism problem, not an attitude problem. Another common mistake was reading the slowdown in infrastructure as “unwavering resolve in policy tightening,” whereas the framework’s judgment is: the decline from 10% to zero growth (or even lower in a single month) already exceeded the adjustment needed to bring infrastructure from 15% down to nominal GDP level — this was an overshoot, not a policy intention.

The October 29, 2018 Liu He speech — “enhance the vitality, resilience, and creativity of micro-level market players” — is a time anchor unique to this entry, marking the policy’s second pivot from “deleveraging” to “stabilizing” to “beautiful.” This time anchor, used together with “beautiful deleveraging = nominal growth rate must exceed 7%–8%,” is what allows one to judge “which policy combination makes deleveraging sustainable” — neither element alone is complete.

Connection with The Four Structural Problems and the Reform Path: The Common Property-Infrastructure Root and Playing from the Periphery Inward: the preceding entry addresses “what the four structural problems are and how to reform them”; this entry addresses “what new problems have emerged during the reform’s implementation and how to correct them”; reading both together constitutes the complete policy analysis chain from problem identification through reform implementation to managing side effects.

See Also

Source

  • Compiled research draft · collected July 2026

Compiled draft z-0096 · collected July 2026