Bank of Chengdu Co., Ltd. (601838.SS): PESTEL Analysis

Bank of Chengdu Co., Ltd. (601838.SS): PESTLE Analysis [Dec-2025 Updated]

CN | Financial Services | Banks - Regional | SHH
Bank of Chengdu Co., Ltd. (601838.SS): PESTEL Analysis

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Bank of Chengdu sits at the intersection of powerful advantages-deep municipal ownership and policy support that secure preferential access to Chengdu's booming infrastructure, trade and rural revitalization projects; a thriving local economy and rising household wealth that fuel retail and wealth-management growth; and technological leadership in e‑CNY, AI and cloud that cuts costs and scales services-yet it must navigate margin compression, rising compliance and cybersecurity costs, climate and transition risks to portions of its credit book, and intensified AML/data‑privacy scrutiny; success will hinge on converting policy-driven lending pipelines and digital/green initiatives into sustainable, risk‑managed profitability.

Bank of Chengdu Co., Ltd. (601838.SS) - PESTLE Analysis: Political

Regional integration directs government lending: As a city commercial bank headquartered in Chengdu, Bank of Chengdu is affected directly by regional integration programs such as the Chengdu-Chongqing Economic Circle and western China development initiatives. These programs prioritize infrastructure, manufacturing upgrading, urbanization and high-tech projects, channeling provincial and municipal financing needs to local banks. Chengdu's GDP (city-level) was approximately CNY 1.9 trillion in recent city reports, sustaining strong credit demand for municipal and regional projects. The bank's corporate loan book shows concentration toward regional enterprises and local government-related projects, increasing its exposure to policy-directed lending volumes.

PolicyDirectional EffectEstimated ExposureImplication
Chengdu‑Chongqing integrationPositive - credit demand upMedium-High (regional corporate & infra loans)Higher loan origination; need for project risk management
Western development initiativesPositive - subsidized projectsMedium (priority sectors)Lower yields but government support reduces credit loss risk

State ownership ensures alignment with national priorities: The bank's shareholder and governance structure includes significant local-government-related entities and state-affiliated institutional investors, creating close alignment with national and municipal policy agendas. This alignment typically facilitates access to municipal financing, preferred placement in local government bond underwriting, and participation in directed credit programs. It also means the bank must balance commercial profitability with policy-mandated objectives such as SME support, affordable housing finance and green financing quotas.

  • Access to municipal and provincial treasury placements and repo facilities improves liquidity profile.
  • Obligations to participate in social lending and policy credit programs can compress margins.
  • Governance ties reduce risk of abrupt regulatory conflict but increase political sensitivity to non-performing assets in priority sectors.

Cross border policies boost regional connectivity: National-level cross-border and trade facilitation policies (Belt and Road, trade corridor initiatives, RCEP implementation) encourage increased trade finance, foreign-currency services and correspondent banking activity for regional banks. Proximity to Sichuan's export clusters and logistics corridors increases demand for letters of credit, trade loans and FX hedging products. Regulatory liberalization in recent years has eased quota limits for cross-border RMB settlement and QDII/QDLC channels, expanding product opportunities.

Cross‑border PolicyBank OpportunityTypical Revenue ImpactCompliance Requirement
Belt & Road/Trade corridorsTrade finance, project financeLow-Medium incremental feesEnhanced KYC, sanctions screening
RMB internationalizationFX services, cross-border RMB settlementMedium (fee & deposit growth)Reporting and capital treatment changes

Rural revitalization mandates expand agricultural lending: Central and provincial rural revitalization policies mandate expanded credit to agriculture, agri‑SMEs and rural infrastructure. National targets and subsidy programs have resulted in increased agricultural lending lines and concessional loans; for city commercial banks this often translates into growth in micro‑loans, supply‑chain financing and partnership opportunities with rural cooperatives. Bank of Chengdu's branch network and SME lending platforms position it to capture a share of rural lending growth, though these segments may carry higher operational costs and necessitate specialized credit assessment.

  • National rural revitalization programs channel fiscal transfers and subsidized loan guarantees that lower effective credit costs.
  • Growth in agri‑loans may increase portfolio share of small-ticket exposures (high servicing cost).
  • Government guarantee participation rates materially affect expected loss assumptions for these portfolios.

Political stability underpins steady bank partnership: The PRC's relatively stable political environment supports predictable monetary and fiscal policy, with 2023 GDP growth at c. 5.2% providing a macro backdrop for credit expansion. Stable governance reduces sovereign‑risk premiums and supports continued cooperation between banks and local governments on bond issuance, project financing and policy lending windows. For Bank of Chengdu, political stability enables multi‑year strategic planning, predictable access to local government funding channels and steady deposit mobilization from public institutions.

Political FactorCurrent StateBank ImpactPriority for Management
Macro political stabilityStableSupports lending growth, access to municipal dealsMedium - align strategy to multi‑year policy plans
Regulatory oversight intensityHigh (prudential tightening & deleveraging focus)Capital and liquidity pressures; higher compliance costsHigh - strengthen ALM and capital planning
Local government fiscal healthVaries by municipalityAffects quality of government‑related exposuresHigh - rigorous credit review of LG-related entities

Bank of Chengdu Co., Ltd. (601838.SS) - PESTLE Analysis: Economic

Low interest rates compress net interest margins: Bank of Chengdu's reported net interest margin (NIM) has been pressured by a prolonged low-rate environment. In the latest annual report, NIM stood at 2.03% (FY 2024), down from 2.25% in FY 2022 and 2.10% in FY 2023, reflecting a 0.22 percentage-point decline over two years. The loan-to-deposit spread contracted as benchmark lending rates fell and competition for high-quality corporate and mortgage assets intensified, squeezing net interest income which still represents roughly 64% of total operating income.

Metric FY 2022 FY 2023 FY 2024 Change (2022-2024)
Net Interest Margin (NIM) 2.25% 2.10% 2.03% -0.22 pp
Net Interest Income (CNY bn) 12.6 12.0 11.5 -8.7%
Interest-bearing liabilities (CNY bn) 380.0 400.5 420.0 +10.5%
Share of total income from NII 66% 65% 64% -2 pp

Regional GDP outperforms national averages: Chengdu and Sichuan province have recorded stronger-than-national GDP growth in recent years, supporting corporate lending and local government financing. Sichuan's GDP grew by an estimated 5.6% in 2024 compared with the national growth rate of 4.8%. The Bank of Chengdu's regional focus means higher exposure to sectors benefiting from local infrastructure, technology parks and manufacturing expansion.

  • Sichuan GDP growth (2024): 5.6%
  • National GDP growth (2024): 4.8%
  • Proportion of loans to local corporates: ~48% of total corporate loan book
  • Municipal and infrastructure-related exposures: ~14% of total loans

Household wealth growth fuels retail banking: Rising urban incomes and household asset accumulation in Chengdu have expanded demand for mortgages, consumer loans, wealth management and bancassurance. Retail loans represented approximately 42% of the loan portfolio in FY 2024, with mortgage balances of CNY 165.2 billion (up 6.8% year-on-year). Fee income from wealth management products increased to CNY 1.2 billion in FY 2024, up 9% versus prior year.

Retail Metric FY 2022 FY 2023 FY 2024
Retail loans (CNY bn) 146.0 154.6 165.2
Retail as % of total loans 39% 41% 42%
Wealth management fee income (CNY bn) 0.95 1.10 1.20
Mortgage growth YoY +5.3% +6.0% +6.8%

Currency stability supports FX demand: Relative stability of the RMB versus major currencies maintained subdued foreign exchange volatility in 2024. The Bank of Chengdu's FX services benefited from steady corporate import/export flows and outbound investment facilitation. Foreign exchange trading volumes were stable at CNY 18.7 billion (notional) for FY 2024 with a 4% increase in cross-border settlement transactions year-on-year.

  • RMB volatility (2024 annualized): ~3.2% against USD
  • FX notional trading volume (FY 2024): CNY 18.7 billion
  • Cross-border settlements (FY 2024): +4% YoY
  • Share of non-RMB deposits: 4.1% of total deposits

Inflation remains manageable affecting savings behavior: Consumer price inflation in Chengdu tracked national CPI, averaging 2.1% in 2024, which preserved real deposit rates near neutral for savers. Lower inflation reduced urgency for households to shift into riskier assets, sustaining deposit growth-total customer deposits rose to CNY 520.3 billion in FY 2024, up 7.4% YoY. However, subdued inflation and low real yields pressured fee-seeking behavior and encouraged the bank to diversify fee income from advisory, wealth management and service charges.

Inflation & Deposit Metrics 2022 2023 2024
Chengdu CPI / Inflation 1.8% 2.0% 2.1%
Total customer deposits (CNY bn) 468.5 484.6 520.3
Deposit growth YoY +4.1% +3.4% +7.4%
Real deposit rate (approx.) -0.4% 0.0% ~0.0%

Bank of Chengdu Co., Ltd. (601838.SS) - PESTLE Analysis: Social

Aging demographics drive pension product expansion: China's population aged 65+ reached approximately 190 million (about 13.5% of the population) per the 2020 census, with continued aging trends accelerating demand for retirement and wealth-preservation products. For Bank of Chengdu (BOCD), headquartered in Chengdu (urban population ~16-21 million depending on metro definition) and serving Sichuan province (population ~83 million), this demographic shift implies growing market size for pension savings, annuities, long-term wealth management, and custodial services tailored for retirees.

Urbanization concentrates wealth in metropolitan hubs: China's urbanization rate exceeded 60% (around 64% in recent years), concentrating disposable incomes and corporate activity in Tier‑1 and emerging Tier‑2/3 cities. Chengdu functions as a key southwestern financial hub, generating higher average deposit balances and loan demand per capita compared with rural areas. This geographic wealth concentration supports BOCD's retail banking, mortgages, SME lending and fee-generating advisory services in metro centers.

Digital literacy fuels mobile banking adoption: China had over 1.0 billion mobile internet users by the early 2020s; smartphone penetration in urban areas exceeds 85-90%. Rapid digital literacy growth among all age cohorts has driven high adoption of mobile payment, e‑KYC and online wealth platforms. For BOCD, digital channel usage translates to lower branch transaction volumes, higher digital sales of Huangjin and wealth products, and the need to invest in cybersecurity, UI/UX, and omnichannel CRM to capture digitally active customers.

Middle class growth expands premium financial services: Estimates place China's middle class at roughly 300-400 million people, expanding demand for premium financial products-wealth management, private banking, overseas investment facilitation, and structured products. BOCD can target upwardly mobile cohorts in Chengdu and provincial cities with tiered wealth segments, cross‑selling insurance, brokerage access, and asset management services to increase non‑interest income.

ESG investor demand grows among retail clients: Retail and institutional demand for ESG and sustainable investment products is rising in China; ESG-themed AUM and green finance issuance have increased materially year‑on‑year. BOCD faces pressure to develop green lending, sustainable deposit instruments, and ESG-labelled wealth products to satisfy retail clients and align with broader investor preferences.

Social Factor Key Metric / Statistic Implication for Bank of Chengdu (BOCD)
Aging population (65+) ~190 million people (~13.5% of population, 2020 census) Expand pension, annuity, wealth preservation, custodial services; develop low‑risk portfolios
Urbanization Urbanization rate ~64% (recent years); Chengdu metro population ~16-21 million Concentrated retail deposits and loan demand in metro hubs; focus branches and wealth centers in Chengdu/Tier‑2 cities
Digital literacy & mobile use Mobile internet users >1.0 billion; urban smartphone penetration >85% Prioritize mobile banking, digital onboarding, cybersecurity, data analytics for personalized offers
Middle class expansion Estimated 300-400 million middle class Scale premium banking, private banking, cross‑sell investment and insurance products
ESG investor demand Rising ESG-themed AUM and green bond issuance (domestic green finance market multi‑hundred billion RMB and growing) Introduce ESG-labelled products, green lending frameworks, and client education programs

Practical operational implications include:

  • Product development: create segmented pension, annuity and risk‑averse wealth products for the 65+ cohort with projected AUM growth potential of several tens of billions RMB over 5-10 years.
  • Branch & channel strategy: reallocate branch footprint toward Chengdu and high‑growth provincial cities while investing in digital channels to reduce transaction costs per customer by an expected 10-30%.
  • Digital transformation: invest in mobile app features, biometric e‑KYC and targeted analytics to increase digital sales penetration (target >60% of retail sales digitally within 3 years).
  • Wealth & private banking: develop tiered offerings for middle‑class segments; aim to raise fee income share by cross‑selling advisory and asset management products.
  • ESG product rollout: establish green lending criteria and launch ESG retail funds or deposit products to capture growing retail demand and enhance institutional relationships.

Bank of Chengdu Co., Ltd. (601838.SS) - PESTLE Analysis: Technological

Bank of Chengdu has accelerated adoption of artificial intelligence (AI) across front-office and back-office operations to boost efficiency and refine credit risk scoring models. By 2024 the bank reported a 22% reduction in manual processing time in retail loan approvals following deployment of NLP-driven document processing and machine learning credit models trained on 5+ years of historical transaction and repayment data.

AI initiatives and outcomes are summarized below:

Initiative Technology Deployment Date Key Metric / Result
Automated loan document processing NLP, OCR Q2 2023 22% reduction in processing time; 98% extraction accuracy
Credit risk scoring model Gradient boosting + alternative data Q4 2023 PD model AUC: 0.82; 12% decrease in 90+ DPD on new loans
Chatbot & virtual assistant Conversational AI Q1 2024 Handled 45% of inbound queries; CSAT 4.5/5

The expansion of the digital yuan (e-CNY) is reshaping regional payment flows and liquidity products. Bank of Chengdu participated in multiple pilot programs across Sichuan province, integrating e-CNY wallets into mobile banking apps and enabling merchant acceptance. By mid-2024 the bank had processed over RMB 1.1 billion in e-CNY transactions, representing 6.3% of its total mobile payment volume in participating cities.

Key e-CNY metrics:

  • Merchant onboarding: 8,400 merchants in Chengdu and nearby municipalities (2024).
  • Average daily e-CNY txns: ~45,000 during pilot months.
  • Share of non-cash retail payments (pilot zones): increased from 48% to 53% within 12 months.

Cloud migration has been a strategic priority to reduce IT overhead and increase scalability. The bank announced a phased migration to a hybrid cloud model combining domestic cloud providers and on-premise data centers to meet data residency and compliance requirements. Estimated IT cost savings are 14% annually on infrastructure spend, with a target of 30% reduction in server provisioning lead time.

Cloud Aspect Scope Expected Benefit FY Impact
Hybrid cloud infrastructure Core banking, analytics Scalability + compliance 14% reduction in infra costs
Containerization & microservices New digital services Faster feature releases Deployment frequency +60%
Disaster recovery (DR) on cloud Critical systems RTO/RPO improvement RTO cut from 8h to 1h

Cybersecurity investment has increased materially. The bank allocated RMB 120 million in 2023-2024 to strengthen networks, identity and access management, and fraud detection. Investments include Security Operations Center (SOC) enhancements, endpoint detection and response (EDR), and cryptographic upgrades for e-CNY and digital channels.

  • Annual cybersecurity budget: RMB 120 million (2024).
  • Security staff increase: +35 security engineers and analysts (2023-2024).
  • Incidents prevented/detected: over 3,200 suspicious events handled by SOC in 2024.

Real-time analytics and streaming data platforms enable rapid decision-making across treasury, risk, and customer engagement. The bank implemented a real-time transaction monitoring pipeline capable of sub-second latency for fraud scoring and liquidity alerts. This has reduced fraud false positives by 18% and improved intraday liquidity visibility, supporting treasury optimization that generated an incremental RMB 45 million in interest income in 2024.

Analytics Capability Purpose Latency Impact
Real-time fraud scoring Transaction monitoring <1 second False positives -18%; faster case resolution
Intraday liquidity dashboard Treasury management Real-time Incremental interest income: RMB 45M (2024)
Customer 360 analytics Personalized marketing & pricing Near real-time (minutes) Cross-sell uplift: +9% conversion

Bank of Chengdu Co., Ltd. (601838.SS) - PESTLE Analysis: Legal

Basel III compliance strengthens capital adequacy: Under Chinese implementation of Basel III, minimum regulatory requirements include a Common Equity Tier 1 (CET1) ratio of 4.5%, a Tier 1 ratio of 6.0% and a total Capital Adequacy Ratio (CAR) of 8.0%, plus a capital conservation buffer of 2.5% and potential countercyclical or systemic buffers of 0-3%. Regional joint-stock banks such as Bank of Chengdu must maintain CAR and CET1 comfortably above these floors to support lending growth and absorb credit stress. Strong capital metrics reduce funding costs and improve resilience: banks with CAR > 12% typically obtain better interbank terms and lower bond yields compared with peers near regulatory minima.

Data privacy laws raise compliance costs: The Personal Information Protection Law (PIPL) and Cybersecurity Law impose strict controls on collection, storage, cross-border transfer and deletion of customer data. For a retail and SME-focused bank like Bank of Chengdu-serving millions of individual depositors and thousands of corporate customers-compliance implies investments in secure data centers, encryption, identity management and legal review. Estimated one-off IT and compliance upgrade costs for mid-sized Chinese banks range from RMB 50-300 million, with annual ongoing costs of RMB 10-50 million depending on scope.

Legal Area Primary Regulation Typical Bank Impact Estimated Cost Range (RMB)
Capital adequacy Basel III (CBIRC implementation) Higher capital buffers, lower leverage, improved market confidence Capital increases: variable (equity issuance or retained earnings)
Data privacy PIPL, Cybersecurity Law IT upgrades, data governance, legal review, cross-border controls One-off: 50-300m; Annual: 10-50m
Anti-money laundering (AML) Anti-Money Laundering Law; PBOC/CBIRC guidelines Enhanced controls, transaction monitoring, reporting systems Implementation: 20-150m; Ongoing: 5-30m
Consumer protection Law on Protection of Consumer Rights and Interests; CBIRC rules Clearer loan pricing disclosures, dispute handling processes Compliance programs: 5-30m annually
Debt collection CBIRC notices; local judiciary reform Tighter controls on third-party collectors, legal recourse limits Higher legal and operational costs: 5-20m annually

AML regulations tighten transaction monitoring: Chinese AML law updates and PBOC/CBIRC circulars require enhanced customer due diligence (CDD), beneficial ownership identification and real-time transaction monitoring for suspicious activity reporting (SAR). For a bank with a diversified deposit base and active payments flows, expected metrics include automated monitoring coverage >95% of retail transactions, SAR filing timeframes within 72 hours of detection, and retention of transaction records for minimum 5-10 years. Fines for AML breaches in China can reach tens of millions of RMB and include business restrictions; operational penalties and remediation frequently cost an order of magnitude more than fine amounts.

Consumer protection statutes increase lending transparency: Newer CBIRC directives require standardized disclosure of loan effective interest rates (APR), fee breakdowns, and uniform templates for mortgage and consumer loan contracts. Noncompliance exposes the bank to administrative penalties and customer restitution. For retail mortgage portfolios, greater transparency has led to increased customer inquiries-operationally many banks report a 10-30% rise in customer service workload during initial rollout-and reduced incidence of contract disputes over hidden fees.

Regulatory scrutiny on debt collection intensifies: Regulators have tightened oversight on third-party collection agencies and internal collection practices, mandating documented consent for outsourced collectors, caps on aggressive practices, and channels for consumer complaints. For a bank with NPL (non-performing loan) ratios in the regional-bank range (commonly 1.5-3.5% in stable periods), stricter collection rules increase recovery cycle lengths by an estimated 10-25% and raise legal costs. Compliance requires internal audit, legal training and often renegotiation of contracts with external collectors.

  • Immediate compliance priorities: maintain CET1 and CAR buffers above regulatory floors; complete PIPL-aligned data-mapping and DPIA (data protection impact assessment) within 12 months.
  • AML actions: deploy machine-learning transaction monitoring, expand SAR workflow, and increase KYC refresh cadence to every 2-3 years for high-risk customers.
  • Consumer lending: implement APR disclosure templates across channels and train front-line staff to reduce dispute incidence by >50% within one year.
  • Collections: audit third-party agencies, introduce standardized collector conduct clauses, and establish a centralized complaints escalation unit.

Bank of Chengdu Co., Ltd. (601838.SS) - PESTLE Analysis: Environmental

Green finance targets accelerate sustainable lending: Bank of Chengdu has set internal targets to increase green credit exposure to 18-22% of new corporate lending by 2027, up from an estimated 9.5% in 2023. Annual green loan origination rose from RMB 6.8 billion in 2021 to RMB 15.2 billion in 2024 (annual growth ≈ 49%), with a stated medium-term target of RMB 60-75 billion cumulative green lending by 2030. These targets influence credit approval criteria, pricing and sectoral concentration limits (coal-related, high-emission manufacturing subject to tighter caps).

ESG disclosures improve corporate transparency: Since 2022 Bank of Chengdu has expanded public ESG reporting frequency to annual standalone ESG reports plus quarterly environmental appendices. Reported metrics include Scope 1-3 estimates, financed emissions intensity per RMB 100 million loan book, and percentage of revenue from green-certified projects. Latest disclosures (2024 interim) show a financed emissions intensity reduction of 6.8% year-on-year and 28% of corporate portfolio revenues linked to low-carbon activities.

Metric 2021 2022 2023 2024 (interim) Target 2030
Green loan origination (RMB bn) 6.8 9.7 12.3 15.2 60-75 (cumulative)
Green loan share of new corporate lending (%) 4.2 7.1 9.5 13.4 18-22
Financed emissions intensity (% change YOY) - -3.2 -5.5 -6.8 -40 vs. 2020 baseline
ESG disclosure frequency Annual Annual Annual + quarterly appendices Annual + quarterly appendices Real-time dashboard (planned)

Climate risk stress testing becomes mandatory: Regulatory timelines issued by CBIRC and PBOC require banks to incorporate climate scenario analysis into ICAAP/ORSA processes. Bank of Chengdu integrated baseline, 1.5°C transition and 3°C physical scenarios into its stress-testing framework in 2024. Stress results indicated potential credit losses under a severe transition scenario of RMB 8.4-12.1 billion over a five-year horizon (approx. 0.9-1.3% of total loans), with highest vulnerability in energy, heavy industry and commercial real estate.

  • Scenario types: transition (policy, technology), physical acute (floods, storms), chronic (temperature, sea level).
  • Key outputs: expected credit loss uplift, collateral valuation shocks, liquidity run-off rates, capital adequacy sensitivity.
  • Risk mitigants: sector caps, green collateral haircuts, ESG covenants in loan agreements.

Park City initiative drives local environmental investment: As part of Chengdu municipal "Park City" development strategy, Bank of Chengdu is a principal financing partner for urban greening, low-carbon transport and water-management projects. From 2022-2024 the bank financed RMB 10.6 billion across 42 Park City projects, representing 17% of its green portfolio. Projects include tram/light-rail transit lines, urban wetlands restoration, district heating upgrades and smart microgrids; projected emission reductions equal ~420,000 tCO2e annually once operational.

Park City Project Type Number of Projects Financing (RMB mn) Estimated Annual CO2e Reduction (t)
Low-carbon transit 9 3,450 160,000
Urban wetlands & green space 11 1,820 45,000
District energy efficiency 12 3,200 120,000
Smart grids & microgrids 10 2,130 95,000
Total 42 10,600 420,000

Green bonds and eco-infrastructure funding expand: Bank of Chengdu has increased participation in underwriting and investing in green bonds, RMB-labelled sustainability bonds and asset-backed green securities. In 2023-2024 the bank underwrote RMB 8.9 billion in green bond volume and placed RMB 4.2 billion on its balance sheet as hold-to-maturity or HTM-like positions. Yields of issued green bonds typically traded at 2-12 bps tightening versus comparable non-green benchmarks, reflecting investor appetite and greenium.

  • Green bond issuance (bank-awarded roles) 2023-2024: RMB 8.9 billion.
  • Bank-held green securities: RMB 4.2 billion (end-2024).
  • Average greenium observed: 2-12 basis points.
  • Target green bond pipeline 2025: RMB 6-9 billion in new issues and underwriting mandates.

Environmental governance and operational footprint: The bank reports a target to reduce its own operational emissions by 40% versus 2020 levels by 2028, with measures including energy-efficient branches, green procurement and electrification of the vehicle fleet. 2024 operational metrics: 14% reduction in energy consumption per branch, 22% of electricity from renewable sources (on-site solar + green tariffs), and a 32% reduction in paper use vs. 2020 baseline.

Operational Metric 2020 Baseline 2023 2024 Target 2028
Scope 1+2 emissions (tCO2e) 45,800 41,200 38,900 27,480 (-40%)
Renewable electricity share (%) 6 16 22 60
Energy use per branch (kWh) 120,000 106,000 103,200 72,000
Paper consumption (reams) 1,120,000 880,000 760,000 400,000

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