The chronic payment term chaos in China's domestic trade finally meets a systematic solution. On May 8, 17 national industry associations jointly issued the 'Domestic Trade Transaction Guidelines (Trial)', targeting long-standing issues such as irregular transactions, excessively long payment terms, and difficult collections. The China National Textile and Apparel Council, the China Textile Commerce Association, and the China Chamber of Commerce for Textile Import & Export were among the drafters, signaling a potential overhaul of rules governing the textile supply chain.
The guidelines arrive against a backdrop of a massive domestic market: retail sales of consumer goods exceeded 50 trillion yuan in 2025, total circulation of production materials approached 100 trillion yuan, and the number of market entities surpassed 180 million. Yet scale alone did not eliminate friction. In the textile sector, payment terms for fabric, yarn, and apparel transactions often stretch 60 to 90 days or longer, straining the cash flow of small and medium suppliers and elevating bad debt risks.
The Payment Term Plague: A Hidden Reef in Textile Domestic Trade
Domestic trade in textiles has long relied on oral agreements or simple contracts, lacking rigid constraints on payment terms and conditions. A yarn supplier to a fabric mill often must wait for the fabric mill to receive payment from downstream garment makers before getting paid, creating a cascading cash crunch. Industry data from 2025 shows that textile enterprises' average accounts receivable turnover days exceed 70, with some small firms facing over 120 days—far above international peers.
The root cause is the absence of unified transaction standards. Companies of different sizes and regions use disparate contract clauses, inspection procedures, and payment milestones. When quality disputes or market fluctuations arise, buyers often delay payments on various pretexts. The new guidelines target these 'gray areas' by clarifying contract formation, delivery and acceptance, payment terms, and commercial conduct, aiming to establish a reference 'operations manual' for domestic trade.
Policy Impact: From Soft Guidance to Hard Standards
It is worth noting that the guidelines are not legally binding but a self-regulatory document jointly issued by 17 national associations. Their effectiveness depends on voluntary adoption and mutual trust within industries. However, the drafting bodies include top chambers covering textiles, light industry, building materials, automobiles, and pharmaceuticals, spanning the entire production-to-circulation chain. This signals that industry leaders are ready to implement the rules first.
For textiles, the clauses on 'payment terms and settlement' are most actionable. They encourage parties to clearly specify payment deadlines and default penalties in contracts, and recommend third-party payment tools or letters of credit to mitigate credit risk. This gives small suppliers a negotiating lever: when buyers demand ultra-long terms citing 'industry practice', suppliers can reference the guideline's standard clauses.
Industrial Implications: Potential Efficiency Gains
If widely adopted, the textile industry could see three major benefits. First, faster capital turnover. Standardized payment clauses reduce delays from disputes, making cash flow more predictable. Second, lower transaction costs. Uniform contract templates and inspection procedures cut legal and administrative expenses. Third, a stronger credit system. The guidelines encourage incorporating transaction performance into industry credit ratings, creating a virtuous cycle where good behavior is rewarded.
Challenges remain. The textile sector is dominated by small firms with uneven digitalization; many lack formal contract management. Whether the guidelines trickle down from leading companies to the grassroots depends on follow-up training, promotion, and case studies. Also, without legal teeth, firms still need judicial recourse for deliberate defaults, requiring parallel arbitration or mediation mechanisms.