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Electricity consumption reflects China’s cyclical momentum better than power generation

Institution
Goldman Sachs
Date
2026-04-17
Authors
Lisheng Wang, Andrew Tilton, Hui Shan, Xinquan Chen, Yuting Yang, Chelsea Song
Company
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Ticker
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Industry
Power Utilities, Renewable Energy, Solar Energy, Macroeconomy
Rating
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NeutralLow confidenceThe report argues that NEA total social electricity consumption is a better proxy for China’s economic growth momentum than NBS industrial power generation above designated size; in the future, advanced manufacturing, AI data centers, EVs, and green transition will continue to drive electricity demand.
AuthorsLisheng Wang, Andrew Tilton, Hui Shan, Xinquan Chen, Yuting Yang, Chelsea Song
Business segmentsPower Consumption、Power Generation、Distributed Solar PV、Coal Power、EV Charging、Data Center Electricity Use、Advanced Manufacturing
Research firm divisions/subsidiariesGoldman Sachs(Other)

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Electricity consumption reflects China’s cyclical momentum better than power generation

Goldman Sachs believes that the widening gap between NBS power generation growth and NEA electricity consumption growth mainly reflects differences in statistical definitions and the rise of distributed energy, making electricity consumption a better China growth proxy because of its broader coverage.

This report is macro and energy-sector thematic research and does not provide company ratings, target prices, or expected upside.
China MacroPower DemandElectricity ConsumptionDistributed Solar PVAdvanced ManufacturingAI Data CentersEVsEnergy Security
  • From 2016 to 2025, NEA total social electricity consumption had a 6.0% annualized growth rate, close to actual GDP and industrial value-added growth, and above the 4.5% annualized growth of NBS industrial power generation above designated size.
  • The gap between electricity-consumption growth and power-generation growth widened from 0.5 percentage points in 2016 to 2.8 percentage points in 2025; the report attributes this mainly to small-scale and distributed generation not being fully covered in NBS generation figures.
  • From January 2022 to March 2026, electricity consumption growth had a correlation of 0.51 with industrial value-added growth, higher than the 0.37 correlation between power-generation growth and industrial value-added growth.
  • China’s policy shows a “barbell” energy strategy: on one hand, heavy investment in renewables led by solar power, and on the other hand continued use of coal endowments to ensure energy security.
  • In 2025, data center computing and EV charging accounted for about 5% of total China power demand, and the report expects this share to rise further.

Report interpretation

Overview

This report discusses the persistent widening divergence between China’s official power supply-demand metrics and assesses its macro implications. Goldman Sachs argues that the commonly used NBS "industrial power generation above designated size" likely understates real domestic power supply because it only covers generating enterprises with annual main business revenue of RMB 20 million or more, while NEA "total social electricity consumption" covers industrial, commercial, residential, agricultural, and other electricity users, and includes consumed small-scale generation, captive plant consumption, and transmission losses, making it a more suitable proxy for China’s growth momentum.

Core views

There are three core points: first, the widening gap between electricity consumption and generation growth does not necessarily mean deteriorating data quality; it more likely reflects differences in statistical definitions and the rapid growth of distributed renewables. Second, over the past ten years, electricity consumption has outperformed power-generation growth in both growth rate and correlation with industrial value-added, making it more useful for assessing the economic cycle. Third, China’s power demand is expected to continue rising, supported by advanced manufacturing, AI, semiconductors, data centers, EV charging, and the green transition, while policy is shifting from focusing purely on declining energy intensity to prioritizing lower carbon emissions and a higher share of non-fossil energy.

Analysis framework

The report first compares the definitions, coverage, and inclusion rules of NBS power generation and NEA total social electricity consumption to explain the divergence in supply-demand indicators. It then tests which indicator better represents economic activity using annualized growth, cumulative gains from 2016 to 2025, State Grid supply and sales data, and correlation with industrial value-added. Finally, it analyzes future electricity demand through manufacturing share, distributed solar PV, EV penetration, data-center demand, and five-year planning targets.

Methodology notes

  • Indicator Definition ComparisonNBS Power Generation vs NEA Total Social Electricity Consumption

    Coverage differences between supply-side generation metrics and demand-side consumption metrics

    NBS industrial power generation above designated size covers only large power producers and does not fully include small-scale distributed generation and self-consumption; NEA total social electricity consumption covers all end-user categories and includes consumed generation from smaller sources, captive use at plants, and line losses.

  • Macroeconomic ValidationCorrelation with Industrial Value-Added

    Electricity consumption as a growth proxy variable

    The report compares correlations of electricity-consumption growth and power-generation growth with industrial value-added growth, finding electricity consumption has a higher correlation with industrial value-added from Jan 2022 to Mar 2026.

  • Alternative Growth IndicatorsKeqiang Index and China Current Activity Indicator

    Cross-validating official growth data with high-frequency real economy variables

    The report notes the Keqiang Index uses industrial electricity use, railway freight volume, and medium- and long-term bank lending to measure growth momentum; Goldman Sachs’ own China Current Activity Indicator also includes electricity consumption as an input variable.

Asset mapping & comparison

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

  • China Macroeconomy
    Electricity consumption is an important proxy for economic activity and the industrial cycle
    Strengths
    Total social electricity consumption has broader coverage and higher correlation with industrial value-added.
    Weaknesses
    NEA and NBS release schedules are close, limiting leading ability for monthly industrial value-added forecasts.
    Comparison
    The electricity-consumption metric is better than industrial power generation above designated size and is close to long-term GDP and industrial value-added growth rates.
    Risks
    A slowdown in growth trends could cap year-on-year electricity-demand growth.
  • Power Utilities
    Rising power demand and low electricity pricing policy jointly affect industry operations
    Strengths
    Advanced manufacturing, AI, and EVs support long-term electricity demand.
    Weaknesses
    Administrative low-price electricity may constrain some utilities’ ability to pass through costs.
    Comparison
    China’s electricity prices are lower than in many developed economies, creating a manufacturing cost advantage.
    Risks
    High-pollution profile of coal power, fuel-price volatility, and policy pressure on pricing.
  • Renewables/Solar Energy
    Growth in distributed solar PV and wind power is a major contributor to widening supply-demand statistical divergence
    Strengths
    Strong policy support, continuously rising distributed solar PV grid-connection scale, and higher non-fossil energy targets.
    Weaknesses
    Limited coverage of some small-scale generation increases complexity in interpreting indicators.
    Comparison
    When distributed energy is included, growth in solar and wind exceeds NBS above-designated-size power generation metrics.
    Risks
    Grid integration, subsidy, and grid-support constraints.
  • Coal and Coal Power
    The traditional backstop in China’s energy-security barbell strategy
    Strengths
    Domestic coal resources help reduce dependence on imported oil and gas.
    Weaknesses
    Tension with carbon-reduction objectives due to high pollution intensity.
    Comparison
    Forms a parallel combination of energy security and transition alongside renewables.
    Risks
    Tightening carbon policy, environmental constraints, and fuel-cost volatility.
  • AI Data Centers and Advanced Manufacturing
    A major source of future incremental electricity demand
    Strengths
    High policy priority, with upside room in capex for AI, semiconductors, and advanced manufacturing.
    Weaknesses
    Electricity expansion may be constrained by energy-intensity limits, compute infrastructure, and external technology bottlenecks.
    Comparison
    The report says China has advantages in power, infrastructure, and physical AI, while the US and North Asia are stronger in semiconductors, models, and applications.
    Risks
    US-China tech competition, export controls, and a weakening GDP trend.
  • EV Supply Chain
    Rising EV penetration drives charging electricity demand growth and lowers oil demand
    Strengths
    Sales penetration rose from 2% in 2016 to 48% in 2025, with strong export growth.
    Weaknesses
    Higher charging load and greater grid dispatch requirements.
    Comparison
    The shift from ICE vehicles to EVs changes China’s and its trading partners’ energy-demand structure.
    Risks
    Export trade frictions, subsidy changes, and grid-capacity constraints.

Key data

  • Annualized Electricity-Consumption Growth6.0%NEA total social electricity consumption annualized growth from 2016 to 2025, close to actual GDP and industrial value-added growth.
  • Annualized Generation Growth4.5%NBS industrial power generation above designated size annualized growth from 2016 to 2025, lower than electricity consumption.
  • Cumulative Electricity-Consumption Increase79%Cumulative increase in total social electricity consumption from 2016 to 2025.
  • Cumulative Generation Increase56%Cumulative official generation growth from 2016 to 2025, 23 percentage points lower than electricity consumption.
  • Supply-Demand Growth Spread2.8 percentage pointsThe gap between electricity and generation growth reached a historical high in 2025; it was 0.5 percentage points in 2016.
  • Correlation of Electricity Consumption and Industrial Value-Added0.51Year-on-year basis from Jan 2022 to Mar 2026.
  • Correlation of Generation and Industrial Value-Added0.37Year-on-year basis from Jan 2022 to Mar 2026, lower than electricity-consumption metric.
  • China’s Share of Global Manufacturing Output34%Estimated in 2025, up from 27% in 2016.
  • China’s Share of Global Electricity Consumption34%Goldman Sachs estimate for 2025.
  • EV Penetration Rate48%Share of new-energy vehicle sales in total auto sales in 2025, up from 2% in 2016.
  • Share of Data-Center Computing and EV Charging in Total Electricity Demand5%Estimated share of China’s total electricity demand in 2025.
  • Target Share of Non-Fossil Fuel Energy Consumption25%Policy target is 25% by 2030; 21.7% in 2025.

Impact & implications

For investment and macro monitoring, the report recommends placing greater weight on NEA electricity consumption rather than NBS power generation when judging the strength of China’s economic cycle. For the energy sector and supply chain, advanced manufacturing, AI infrastructure, EVs, distributed solar PV, and non-fossil energy policy will continue to reshape the structure of electricity demand; stable and low electricity prices may further reinforce China’s cost advantage in manufacturing and AI-related infrastructure, though cost may be absorbed increasingly by state-owned refiners and power plants.

Risks

  • If China’s GDP trend growth slows, electricity-demand year-over-year growth may be constrained.
  • NBS and NEA use different statistical definitions; if supply-side and demand-side indicators are not distinguished, economic momentum may be misread.
  • Limited statistical coverage of distributed generation, self-consumption, and small-scale plant generation may continue to increase the difficulty of interpreting indicators.
  • Low electricity-price policies may shift cost burden to state-owned refiners and power plants, affecting utility profitability.
  • Maintaining coal use preserves an energy-security advantage but brings pollution and carbon-reduction pressure.
  • Middle East conflict, global energy prices, and US-China tech competition could alter the pace of energy-security policy and advanced-manufacturing investment.

What to watch

  • Whether the growth-speed gap between NEA total social electricity consumption and NBS industrial power generation above designated size continues to widen.
  • Whether statistical coverage improves for distributed solar PV, wind power, and captive plant consumption.
  • Whether the correlation among industrial value-added, actual GDP, and electricity consumption remains intact.
  • Changes in State Grid power supplied, power sold, and line-loss rates.
  • The pace at which data centers, EV charging, and advanced manufacturing’s electricity share is rising.
  • Implementation of the 14th Five-Year Plan goals on non-fossil energy share, emissions decline, and energy-intensity reduction.
  • Whether domestic electricity prices remain low and stable, and how costs are distributed between power companies and downstream manufacturers.
Zhejiang ICP No. 2022035445-5
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