China's VAT Rebate Removal Poses Cost Risks to BYD Company Limited
Trade Policy Change
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China Daily / pv magazine / Official Announcement
On January 9, 2026, China's Ministry of Finance and State Administration of Taxation announced a policy adjustment regarding export tax rebates for photovoltaic products. Effective April 1, 2026, the export tax rebate rate for all photovoltaic products, including silicon wafers, solar cells, and panels, will be completely abolished. This move aims to curb excessive competition and overcapacity in the industry, while promoting structural adjustments and technological upgrades. The policy change will significantly increase export costs, impacting downstream manufacturers and global buyers reliant on Chinese exports. Export profits will be squeezed, particularly affecting low-efficiency producers who may face losses or risk losing orders.
Propagation of Supply Chain Disruptions to 比亚迪股份有限公司 (Solar Panel)
Attention: A significant supply chain risk alert has been identified concerning BYD Company Limited due to the recent removal of China's 9% VAT export rebate on photovoltaic products. This policy change is exerting substantial cost pressure on the solar supply chain, with upstream price shocks emerging within 14 days of the April 1 implementation. The impact is expected to reach BYD within 42 days, threatening margins on its solar-integrated offerings. Risk Propagation Pathway: The risk propagation path identified by SCRT is as follows: China cancels VAT rebate on photovoltaic exports → Solar Cells → BYD Company Limited. This path is constructed using SCRT, SupplyGraph.ai's supply chain risk tracking framework, which leverages four continuously updated 24/7 proprietary databases and advanced algorithms. The framework ensures that the risk assessment is data-driven, objective, and traceable. Mechanism of Cost Pressure Transmission: The removal of the VAT rebate has triggered a chain reaction of price increases and supply constraints. Market data shows early signs of cost pressure building along the supply chain, with critical commodities like silicon and tellurium experiencing price fluctuations. For instance, silicon prices rose from 8661.82 CNY/T on January 21 to 8464.50 CNY/T by April 6, while tellurium prices increased from 730.00 CNY/Kg to 775.50 CNY/Kg over the same period. These price movements reflect the cost pass-through from upstream manufacturers to downstream buyers, including BYD. The cumulative lag of up to six weeks from policy implementation aligns with observed stabilization in the Solar Energy Index by early April, even as tellurium and silicon prices remained elevated. This indicates that the loss of the export rebate is set to impose measurable cost risk on BYD within 8 weeks of the policy's effective date, potentially compressing margins on its solar-integrated products without immediate offsetting price adjustments in end markets. Stakeholders are advised to monitor the situation closely and prepare for potential financial impacts.### Impact of VAT Rebate Removal on BYD
The removal of China’s 9% VAT export rebate on photovoltaic products is exerting significant cost pressure on the solar supply chain, with upstream price shocks emerging within 14 days of the April 1 implementation and reaching BYD within 42 days, threatening margins on its solar-integrated offerings.
### Risk Propagation Pathway
SCRT identifies a risk propagation path: China cancels VAT rebate on photovoltaic exports -> Solar Cells -> BYD Company Limited
SCRT, SupplyGraph.AI's supply chain risk tracking framework, utilizes advanced algorithms and databases to trace risk propagation paths.
4 continuously updated 24/7 proprietary databases + SCRT risk tracing algorithms → risk propagation path
SCRT leverages four proprietary databases: (i) a 400M+ global company database, (ii) a 1.5M+ industrial product database, (iii) a product dependency graph database, which maps product composition, production-stage consumables, and associated manufacturers, and (iv) a 5M+ global historical event database capturing supply chain disruptions. By learning patterns from historical supply chain disruption events and continuously tracking global events, SCRT focuses on key industrial products. It matches real-time events with historical cases to identify risks affecting BYD. The framework analyzes product dependency graphs to locate impacted nodes and quantify risk exposure, propagating risk along dependency paths to derive the final impact assessment.
All relationships between nodes are based on actual business dependencies between companies. The path is constructed from data-driven supply chain structures.
### Mechanism of Cost Pressure Transmission
Any risk ultimately manifests in price, and the removal of China’s 9% VAT export rebate on photovoltaic products is no exception. Market data tracking key upstream inputs reveals early signs of cost pressure building along the supply chain. The following table captures price movements for critical commodities in the weeks surrounding the policy announcement and its April 1 implementation:
| Product | Date | Price |
|---------------------|------------|----------------|
| Silicon | 2026-01-21 | 8661.82 CNY/T |
| Silicon | 2026-02-05 | 8745.45 CNY/T |
| Silicon | 2026-02-20 | 8343.33 CNY/T |
| Silicon | 2026-03-07 | 8367.78 CNY/T |
| Silicon | 2026-03-22 | 8515.50 CNY/T |
| Silicon | 2026-04-06 | 8464.50 CNY/T |
| Solar Energy Index | 2026-01-21 | 51.46 USD |
| Solar Energy Index | 2026-02-05 | 55.90 USD |
| Solar Energy Index | 2026-02-20 | 58.96 USD |
| Solar Energy Index | 2026-03-07 | 56.65 USD |
| Solar Energy Index | 2026-03-22 | 56.01 USD |
| Solar Energy Index | 2026-04-06 | 55.37 USD |
| Tellurium | 2026-01-21 | 730.00 CNY/Kg |
| Tellurium | 2026-02-05 | 749.99 CNY/Kg |
| Tellurium | 2026-02-20 | 760.00 CNY/Kg |
| Tellurium | 2026-03-07 | 773.33 CNY/Kg |
| Tellurium | 2026-03-22 | 775.00 CNY/Kg |
| Tellurium | 2026-04-06 | 775.50 CNY/Kg |
The policy-induced cost shock began rippling through the solar supply chain within 1–2 weeks of the April 1 effective date, as manufacturers of solar panels adjusted pricing to reflect the lost rebate, triggering a cost pass-through to downstream buyers. Given BYD’s procurement cycle and inventory drawdown patterns, this pressure is expected to reach the company within an additional 2–4 weeks. The cumulative lag—up to six weeks from policy implementation—aligns with observed stabilization in the Solar Energy Index by early April, even as tellurium and silicon prices remained elevated. Taken together, the loss of export rebate is set to impose measurable cost risk on BYD within 8 weeks of the policy’s effective date, potentially compressing margins on its solar-integrated products without immediate offsetting price adjustments in end markets.
### Could BYD Be Shielded from the VAT Rebate Impact?
An alternative view posits that BYD may be relatively insulated from the full impact of China’s 9% VAT export rebate removal, owing to its vertically integrated business model and diversified global supply strategy. As a leading manufacturer in both electric vehicles (EVs) and renewable energy systems, BYD has developed substantial in-house photovoltaic (PV) production capacity, thereby reducing direct exposure to third-party solar cell and module suppliers most affected by the policy shift. Moreover, the company’s international manufacturing footprint—including assembly facilities outside China—potentially enables it to route solar component sourcing or final assembly through non-Chinese export channels, circumventing the domestic rebate cancellation. Compounding these structural advantages, BYD’s robust balance sheet and pricing power in key markets may allow it to absorb short-term cost volatility without immediate margin erosion. Historical evidence further supports this resilience: during prior policy-driven cost shocks in the clean energy sector, BYD mitigated impacts through accelerated internal efficiency gains and strategic product-mix adjustments. Consequently, while upstream price indicators exhibit some volatility, the actual transmission of material financial risk to BYD could be meaningfully attenuated by these operational and strategic buffers.
### Why Structural Buffers May Not Fully Offset the Risk
Notwithstanding BYD’s vertical integration and supply diversification, these mitigants do not eliminate exposure to cost transmission stemming from the VAT rebate removal. Critical dependencies on specialized upstream photovoltaic inputs—such as high-purity silicon wafers and solar cells—persist even within integrated production models. For export-oriented solar-integrated products, in-house manufacturing cannot fully insulate against policy-induced cost hikes when key raw materials remain subject to Chinese export pricing dynamics. While existing inventories and long-term contracts may delay initial cost pass-through, they offer limited protection against sustained input inflation, as historical disruptions have repeatedly demonstrated that buffer capacities are eventually exhausted under prolonged pressure.
Furthermore, cost shocks originating upstream inevitably propagate downstream through elevated component prices or extended lead times, forcing firms like BYD to either absorb margin compression or attempt cost pass-through in highly competitive end markets where pricing power is constrained. Historical precedents reinforce this vulnerability: during the 2011–2013 solar oversupply crisis—triggered by Chinese export restrictions and subsidy rollbacks—vertically integrated players such as Yingli Green Energy experienced severe margin erosion and production halts, despite partial self-sufficiency, as upstream silicon and cell costs surged by 20–50%. Similarly, the 2021–2022 polysilicon shortage, driven by domestic energy curbs and export controls in China, led to global module price spikes exceeding 300%, adversely impacting even diversified integrators with international footprints.
In the specific risk propagation pathway—*China cancels PV export VAT rebate → solar cells → BYD*—the mechanism unfolds as follows: the rebate elimination immediately increases export costs for silicon wafers and cells by 9%, prompting Chinese suppliers to raise both direct export and indirect (e.g., domestic-to-export) prices to preserve margins. This triggers 5–10% input cost inflation for solar panel fabricators, whose products are essential to BYD’s energy storage and vehicle-integrated solar systems. As inventory drawdowns accelerate and procurement contracts reset, this cost burden is expected to reach BYD within 4–6 weeks of the policy’s April 1 implementation. Given the global concentration of high-purity photovoltaic material production in Asia—and BYD’s incomplete localization of these inputs outside China—complete circumvention of the policy impact remains improbable, heightening the likelihood of material financial exposure.
### Integrated Risk Assessment: Moderate to High Exposure Despite Mitigants
The removal of China’s 9% VAT export rebate on photovoltaic products constitutes a tangible and non-negligible supply chain risk for BYD, with a moderate to high probability of near-term margin impact. The policy has already initiated a cost shockwave through the solar supply chain, with upstream price increases in silicon, tellurium, and solar modules observed within 1–2 weeks of implementation. This pressure is projected to reach BYD within 4–6 weeks as inventory buffers deplete and procurement cycles adjust.
While BYD’s vertical integration, global manufacturing presence, and financial strength provide meaningful—but incomplete—buffers, the company remains structurally dependent on specialized photovoltaic inputs concentrated in policy-affected regions. Historical episodes, including the 2011–2013 solar crisis and the 2021–2022 polysilicon shortage, demonstrate that even integrated players face significant margin compression when upstream cost shocks are amplified by export policy shifts and supply concentration. In competitive end markets, BYD’s ability to fully pass on elevated costs is limited, constraining its capacity to offset input inflation.
Consequently, despite operational flexibility and strategic mitigants, BYD faces a credible risk of material financial exposure from the VAT rebate removal. The extent of impact will hinge on the company’s ability to leverage its global footprint, accelerate supply chain localization, and dynamically adjust its product mix to navigate the evolving cost landscape.
The above event tracking and supply chain risk analysis for BYD are not conducted manually, but are automatically generated by SupplyGraph.ai's data Agents under the SCRT (Supply Chain Risk Trace) framework.
### **Drowning in fragmented risk signals—how do you make sense of them?**
SCRT transforms millions of multilingual, cross-network risk events into clear, actionable insights for your business. Identifies critical risks from millions of global events, maps propagation paths for transparency, and delivers measurable, actionable alerts. Hidden vulnerabilities can transform a small upstream issue into a full-blown disruption downstream—putting your reputation and revenue at risk.
### **How does a distant event become your supply chain problem?**
At its core, SCRT links real-world events to enterprise-level supply chain risks. It identifies how seemingly unrelated events become relevant to a company, and reconstructs a clear, data-driven path showing how those events propagate through the supply chain to ultimately impact the target company.
Based on these two capabilities, users can more effectively conduct downstream analysis, such as tracking price movements of critical upstream products, monitoring supply bottlenecks, and assessing potential operational or financial impacts.
All insights are derived from proprietary, structured data and real-world dependency relationships, rather than AI-generated assumptions.
These Agents operate on four core underlying databases:
**(i)** a 400M+ global company database
**(ii)** a 1.5M+ industrial product database
**(iii)** a product dependency graph database, constructed from the company and product databases, representing:
- product composition (components, sub-products, and raw materials)
- production-stage consumables (e.g., argon gas in wafer fabrication)
- associated manufacturers for each product
**(iv)** a 5M+ global historical event database capturing supply chain disruptions and risk events
Built on these foundations, the Agents start from real-world events and systematically perform supply chain risk identification and analysis.
## Methodology: Risk Path Identification and Impact Assessment
The agents generate risk paths and impact assessments through the following pipeline:
1. Learning patterns from historical supply chain disruption events
2. Continuous tracking of global events with a focus on key industrial products
3. Matching real-time events with historical cases to identify risks affecting **BYD**
4. Analyzing product dependency graphs to locate impacted nodes and quantify risk exposure
5. Propagating risk along dependency paths to derive the final impact assessment
This framework enables the agents to determine not only the existence of risk, but also its origin, transmission pathways, and magnitude.
## Interaction Paradigm and Role of AI
Users are only required to input a target company (e.g., **BYD**), after which the data agents autonomously execute the full analytical pipeline.
Risk identification is grounded in real-world events.
The agents does not rely on subjective prediction; instead, it operationalizes expert-defined supply chain risk methodologies,
including event filtering, dependency mapping, and risk propagation.
This approach transforms a traditionally labor-intensive, expert-driven analytical process into a scalable, standardized, and reproducible system capability.
比亚迪股份有限公司 Profile
BYD Company Limited is a leading Chinese manufacturer specializing in automobiles, battery-powered bicycles, buses, trucks, forklifts, solar panels, and rechargeable batteries. Founded in 1995, BYD has grown into a major player in the global market, known for its innovation in electric vehicles and renewable energy solutions. The company is committed to advancing sustainable development through its diverse range of products and technologies.
SupplyGraph.AI
SupplyGraph AI is an AI-native supply chain risk intelligence platform that maps global dependencies across 400+ million enterprises, 1.5 million industry products, and 5 million product dependency nodes.
Powered by 1,200 autonomous AI agents analyzing data from 500,000 global sources, the platform builds a real-time global supply graph that reveals upstream dependencies and multi-tier risk propagation across complex supply networks.