“小棉袄”撑起大产业

Core Insights - The article highlights the transformation of the cotton clothing industry in Houying Town, Liaocheng City, Shandong Province, from small-scale family workshops to a leading production base in Northern China, generating an annual output value exceeding 1.1 billion yuan [1][3]. Group 1: Industry Development - The cotton clothing production base in Houying Town has developed into a significant industry, with over 100 processing enterprises and an annual production capacity of 36 million pieces, employing more than 6,300 people [3][4]. - The production model combines "intelligent cutting at headquarters" with "rural satellite factories," allowing flexible employment for rural women, thus improving their income while managing household responsibilities [3][6]. Group 2: Economic Impact - The cotton clothing industry in Houying Town contributes to the local economy, with an average monthly income of 4,500 yuan for skilled workers and 3,000 yuan for part-time and home-based workers [3][4]. - The town produces 1.5 billion pieces of cotton clothing annually, with 70% of the national supply coming from Houying, indicating its significant market presence [3][4]. Group 3: Government Support and Infrastructure - The local government has implemented a comprehensive strategy involving policy guidance, market leadership, and technological empowerment to upgrade the cotton clothing industry [4][5]. - A standardized intelligent cotton clothing industrial park has been established, supported by 228 million yuan in funding, facilitating the transition from small workshops to large-scale production [6][7]. Group 4: Business Models - The cotton clothing industry in Houying Town features three main business models: material processing, brand processing, and independent marketing, showcasing a diverse approach to production and sales [7][8]. - The development plan for the cotton clothing industry includes integrating over 9 million yuan in support funds and enhancing production efficiency through AI design tools, reducing the design-to-sample cycle by 30% [7][8].