家电需求释放遇上“超级6·18” 多地国补政策迎来阶段性调整

Core Viewpoint - Recent changes in national subsidies for home appliances have emerged, with some regions implementing limits on the distribution of these subsidies, particularly in Jiangsu Province, while other areas like Shanghai continue to operate under existing policies [1][2][3]. Group 1: Policy Changes - Jiangsu Province has introduced a daily limit on national subsidies, which will be in effect until the end of the year, allowing consumers to claim subsidies online and offline with limited availability [1][2]. - In contrast, Shanghai has not made any adjustments to its subsidy policy, and it continues to operate as per the original plan, with no notifications of changes received [3]. - Other regions, such as Chongqing and parts of Guangdong, have reported that consumers can no longer access home appliance subsidies due to depletion of funds [2]. Group 2: Consumer Behavior - Anticipation of potential changes in subsidy policies has led to an increase in consumer activity in Shanghai, with more customers visiting stores to inquire about and purchase home appliances [1][3]. - A significant portion of consumers (71%) who have utilized the subsidies are motivated by the need to replace old appliances, indicating a focus on existing customer engagement [5]. Group 3: Market Trends - The home appliance market in China is expected to see a consumption peak in the second quarter of the year, driven by the upcoming "6·18 Mid-Year Promotion" and the optimization of subsidy funds [5][6]. - The total consumption of national subsidies is projected to reach approximately 2.1 trillion yuan, accounting for about 70% of the total subsidy scale of 3 trillion yuan [6]. Group 4: Future Outlook - The "limited allocation model" introduced in Jiangsu may serve as a template for future adjustments to national subsidy policies, focusing on resource optimization and high-quality development [7]. - The current subsidy distribution mechanism may evolve from a pre-allocation model based on redemption rates to a total pre-allocation model, improving cash flow for enterprises [7].