全生命周期消费关怀
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“供需适配”将释放多少消费潜力
Sou Hu Cai Jing· 2025-12-02 00:48
Core Viewpoint - The article discusses China's new implementation plan aimed at enhancing the adaptability of supply and demand in consumer goods, focusing on collaborative efforts between supply and demand sides to stimulate consumption potential and drive economic growth [3][5]. Group 1: Implementation Plan Overview - On November 26, six government departments released a plan with 19 key tasks to enhance supply-demand adaptability, focusing on expanding new markets, exploring existing markets, segmenting markets, empowering scenarios, and optimizing the environment [3][5]. - The plan emphasizes a shift from a one-sided consumption stimulation model to a collaborative approach, addressing structural contradictions in consumption and promoting high-quality economic development [3][5]. Group 2: Market Insights and Data - As of now, China has a total of 230 million consumer goods varieties, with over 100 categories like home appliances and furniture leading global production [5]. - The plan aims to create three trillion-yuan-level consumption sectors and ten hundred-billion-yuan-level consumption hotspots by 2027, focusing on areas such as elderly products, smart connected vehicles, and consumer electronics [8][9]. Group 3: Consumer Trends and Needs - The plan highlights the need for supply to match diverse consumer demands, particularly for different age groups and lifestyles, indicating a shift from quantity expansion to structural optimization in the consumer market [11][12]. - The elderly population in China is projected to reach 310 million by the end of 2024, with the elderly goods market expected to grow from 2.6 trillion yuan in 2014 to 5.4 trillion yuan by 2024, reflecting a compound annual growth rate of 7.3% [12]. Group 4: Technological Integration - The plan emphasizes the integration of artificial intelligence (AI) in consumer goods, aiming to enhance precision in supply and demand matching through AI applications across the industry [14][17]. - AI is expected to transform traditional supply methods into personalized manufacturing, allowing for rapid and flexible production that meets evolving consumer preferences [14][16].