Goldman Sachs: The RMB8,000 billion new-type policy-based financial tools could become a key quasi-fiscal funding source for high-tech investment in China

Overview

This report discusses how demand for incremental easing and fiscal support tools has risen in China after Q2 growth decelerated, leading markets to pay closer attention to whether the planned RMB8,000 billion "New Policy-Based Financial Instruments" (NPBFI) planned for this year will be implemented more quickly. Goldman Sachs defines NPBFI as a more widely used recent "quasi-fiscal" policy tool, which mainly uses policy banks rather than traditional commercial-bank credit channels to provide low-cost, long-term funding for strategic projects, especially for supplementing project capital.

Core views

The core view is that NPBFI serves dual objectives of supporting high-tech investment and containing local-government debt risk. Compared with channels such as local-government financing vehicles, land-sale revenue, or local special bonds, NPBFI is more centrally coordinated; funding sources include policy bank financial bonds and PBOC PSL, and it can theoretically crowd in subsequent bank loans and private capital while not directly increasing implicit local government debt. The report considers the tool potentially meaningful for economic growth, but official or market multiplier assumptions may overstate the net incremental effect because matching funds may come from budget resources, policy-based financing may crowd out other project financing, and weak local incentives to launch projects may still constrain implementation.

Analysis framework

The report first reviews the policy evolution from policy-based development finance tools in 2022 to the formalization of NPBFI by 2025, and then to the quota expansion in 2026; it next dissects the mechanism involving funding sources, policy bank funds, NDRC project screening, capital injection, and follow-on commercial bank lending; then it compares NPBFI against other government financing channels by sector, region, and financing cost; finally it uses fiscal multiplier scenario analysis to estimate the potential contribution of RMB5,000 billion and RMB8,000 billion quotas to real GDP levels.

Methodology notes

• Macro fiscal analysisFiscal multiplier scenario analysis

  Using fiscal multipliers of 0.5x, 1x, and 2x, it builds conservative, base, and constructive scenarios to estimate the cumulative real GDP impact of NPBFI.

  Goldman Sachs notes that historical samples for NPBFI are short and the quality of FAI data is disputed, so instead of using a single deterministic estimate, it applies scenario analysis to handle uncertainty in multipliers and crowding effects.

• Policy tool analysisQuasi-fiscal financing mechanism decomposition

  NPBFI raises funds through policy bank bonds and PSL, then injects them as project equity capital into strategic projects selected by NDRC.

  This mechanism means funding is not fully reflected in TSF statistics, since funds are raised by policy banks rather than the non-financial sector and are disbursed as project equity capital rather than corporate loans.

• Regional allocation analysisMajor-economic-province skewed allocation

  About 80% of 2025 NPBFI funds were allocated to 12 "major economic provinces."

  These provinces have relatively high shares of R&D spending, GDP, consumption, and fixed-asset investment; the tilt reflects policy preference for high-tech development and stronger fiscal-capacity regions.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• Assets related to China’s high-tech manufacturing and AI infrastructure

  Policy beneficiary theme

  Strengths

  NPBFI funding is clearly tilted toward high-tech manufacturing, AI infrastructure, digital economy, low-altitude economy, and strategic supply chain, helping to ease project capital constraints.

  Weaknesses

  Project payback periods are long, capital expenditure efficiency and data quality still need validation, and some investments might have occurred anyway.

  Comparison

  Compared with traditional infrastructure, this direction aligns more closely with new-quality productivity policy goals and may receive more sustained central coordination support.

  Risks

  Slow project execution, insufficient capex returns, technical limits, external technology competition, and financing crowding-out effects.

• Policy bank bonds and PSL-related financing channels

  Main funding source

  Strengths

  Lower financing costs, strong policy coordination capability, and ability to provide long-term funding.

  Weaknesses

  Monthly PSL net increases and policy bank bond net issuance are volatile and may not be synchronized with actual disbursement.

  Comparison

  Compared with local government financing channels, costs are lower and central coordination is stronger; compared with commercial bank credit, the statistical and transmission paths are more complex.

  Risks

  Bond supply adjustments, PSL maturities shrinking, timing clashes with sovereign bond issuance, and insufficient progress transparency.

• Investment chain related to the 12 major economic provinces

  Regional allocation skew

  Strengths

  These provinces have relatively high shares of R&D, GDP, retail, and fixed-asset investment, and have stronger project pipelines and industrial foundations.

  Weaknesses

  The allocation bias may widen fixed-asset investment divergence from high-debt inland provinces.

  Comparison

  Major economic provinces are more likely than debt-heavy provinces to absorb high-tech and strategic project investment.

  Risks

  Worsening regional divergence, insufficient coordination across local projects, and demographic and fiscal pressure affecting long-term investment efficiency.

• Local government financing platforms and local special bond-related assets

  Relative substitute or complement

  Strengths

  NPBFI can complement existing government financing channels and ease some implicit local debt pressure.

  Weaknesses

  Traditional local financing channels remain constrained by local debt resolution pressures, weak land markets, and fiscal restrictions.

  Comparison

  NPBFI is typically lower-cost and more centralized than LGFVs and some local special bonds, but its scale and project scope remain policy-constrained.

  Risks

  If matching funds still come from government budgets, multipliers may be overstated; if NPBFI only displaces other investments, net incremental impact declines.

Key data

• 2026 NPBFI quotaCNY 800 billionThe report assumes this quota will be implemented in Q3 2026 and performs scenario estimates of its GDP impact.
• 2025 NPBFI quotaCNY 500 billionNDRC announced in late September 2025 that policy banks had completed disbursement by end-October.
• Policy-based development financing injected in 2022CNY 740 billionIt was mainly used for major infrastructure projects during the pandemic, including transportation, water conservancy, energy, and new infrastructure.
• Base-case GDP impact of the 2026 quotaabout 0.5 percentage pointsThe impact is expected to be concentrated mainly at the end of 2026 and early 2027.
• GDP impact range of the 2026 quotaabout 0.3 to 1.1 percentage pointsCorresponding to conservative and constructive fiscal multiplier assumptions.
• 2025 quota GDP impactabout 0.2, 0.4, and 0.7 percentage pointsCorresponding to conservative, base, and constructive scenarios, with effects mainly concentrated in 2026.
• 2025 major-economic-province allocation ratioabout 80%About CNY 400 billion flowed to 12 "major economic provinces."
• PSL rate1.75%The report states that PSL maturities are usually 3 years or longer, with rates lower than most local government financing costs.
• Recent CDB bond yieldabout 1.5% for 3 years, about 1.6% for 5 yearsAs representatives of policy bank bonds, financing costs are lower than local government-related financing channels.
• Goldman Sachs China Investment TrackerActual investment growth accelerated from 2.2% y/y in Q4 2025 to 3.5% y/y in H1 2026Used to support the view that high-tech-related investment is improving, though the report still flags FAI data reliability issues.

Impact & implications

If NPBFI is implemented as scheduled, it could strengthen policy support for China's high-tech manufacturing, AI supply chain, compute network, green transition, and strategic infrastructure, providing a marginal growth backstop in late 2026 to early 2027. For the market, this tool could support value chains linked to new-quality productivity, policy-based financing, and key regional investment, but net incremental effects depend on the sources of matching funds, whether other projects are crowded out, local execution incentives, and the quality of the actual project pipeline.

Risks

• Official or market multiplier estimates may overstate the true net incremental effect.
• Matching funds may come from government budgets or other existing financing channels, leading to double counting or crowding-out effects.
• Policy bank bond issuance and PSL data are volatile, making it hard to accurately track the real deployment pace of NPBFI.
• Incentives for local officials to launch major investment projects may be weak, creating execution bottlenecks.
• Reliability of FAI data is disputed, which may affect real-time assessment of policy effectiveness.
• If private-sector credit demand remains weak, NPBFI's ability to crowd in private capital could be limited.

What to watch

• Whether the RMB8,000 billion NPBFI quota in 2026 starts to be materially implemented in Q3.
• Announcements by NDRC, PBOC, MOF, and policy banks on project pipeline, fund deployment, and coordination mechanisms.
• Changes in PSL net increases, net issuance of policy bank bonds, and the issuance rhythm of sovereign bonds.
• Whether FAI growth in high-tech manufacturing, AI infrastructure, compute networks, and new infrastructure continues to outperform overall FAI.
• Whether fixed-asset investment divergence between the 12 major economic provinces and high-debt provinces widens.
• Whether commercial bank lending and private capital are effectively crowded in by NPBFI projects rather than merely replacing existing financing.