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上海:加快盘活用好城市存量资源 低效产业用地盘活处置要加力推进
Xin Lang Cai Jing· 2025-11-18 11:30
Core Points - The meeting emphasized the importance of revitalizing and effectively utilizing urban stock resources, with a focus on deepening reforms and accelerating transformations in development zones [1] - It highlighted the need for innovation in policies and systems to foster the growth of new industries and business formats [1] - The meeting called for industrial parks and technology parks to adhere to a scale-oriented and intensive development approach, creating a better innovation and industrial ecosystem [1] - There is a push for the active disposal of inefficient industrial land, with an emphasis on dynamic classification assessments and the effective use of an integrated "regulatory storage supply and use" mechanism to enhance urban land management [1] - The update and renovation of commercial office buildings should align with the needs of transformation and upgrading, achieving functional compatibility and conversion [1]
不摊大饼“提密度”,广东“二次起跑”重塑产业园区
2 1 Shi Ji Jing Ji Bao Dao· 2025-10-10 13:32
Core Viewpoint - The Ministry of Industry and Information Technology and the National Development and Reform Commission have jointly issued guidelines for the high-quality development of industrial parks, signaling a shift from quantity-driven growth to quality and efficiency enhancement in industrial park construction across the country [1][3]. Summary by Sections Industrial Park Development in Guangdong - Guangdong has emerged as a benchmark in the national industrial system, having established 109 provincial industrial parks over the past 20 years, with a total investment of 53 billion yuan and an industrial output value exceeding 2.4 trillion yuan [2]. - However, over 60% of Guangdong's parks focus on electronic information and food industries, leading to high homogeneity, with the main industries accounting for less than 40% of the output value [2][12]. Transition and Challenges - The transition from a resource-driven to a mechanism-driven model is evident, with new parks focusing on industrial investment rather than merely land sales [5]. - The challenges include insufficient differentiation in leading industries, weak investment attraction capabilities, and project construction delays, with a 28% decrease in signed project amounts in 2024 compared to the previous year [12][13]. Policy and Structural Changes - Guangdong is promoting a "zero land increase, improve efficiency" reform to optimize spatial layout and policy innovation, encouraging a shift from incremental expansion to stock activation [6][9]. - The province aims to establish a networked system of "7 large industrial clusters + 15 main platforms + 106 provincial industrial parks" to facilitate industrial gradient division and resource flow [8][9]. Collaborative Development - There is a shift from isolated development to inter-regional collaboration, with mechanisms like "flyover economy" and fund co-investment being established [9]. - The focus is on creating a differentiated development system with "one park, one main industry" and "one city, one characteristic" to avoid uniformity across parks [13][15]. Future Directions - The guidelines emphasize the importance of introducing leading enterprises to foster industrial ecosystems, with successful examples in Meizhou attracting major global companies [15]. - The ongoing pilot projects for standardized construction are expected to enhance the differentiation of industrial parks, promoting a more tailored approach to development [13][15].
科技变革下,产业园区发展逻辑迎来重塑
Huan Qiu Wang· 2025-04-16 03:33
Core Insights - The development logic of industrial parks is being reshaped under the influence of technological transformation and governance innovation, becoming a hot topic in the industry [1] - The evolution path of artificial intelligence is clearly outlined as "foundational capabilities - specialized architecture breakthroughs - vertical scene deepening," with ChatGPT initiating the intelligent era and DeepSeek expanding into fields like medical diagnosis and financial analysis [1] - The global competitive landscape is undergoing structural reconstruction, with AI becoming a microcosm of great power competition, where corporate giants, super city clusters, innovation ecosystems, and capital matrices have evolved into core competitive dimensions [1] Industry Trends - The competition paradigm of "city clusters + big finance" is driving industrial parks to transform into regional innovation hubs, exemplified by Shanghai Zhangjiang's construction of a large model industrial ecosystem and collaboration with Suzhou and Hangzhou to form a triangle of AI and biomedicine innovation in the Yangtze River Delta [1] - Shenzhen Qianhai is piloting a "regulatory sandbox" mechanism to allow cross-border investment by industrial funds, creating an experimental field for institutional innovation for tech companies [1] - The dual drive of technological revolution and institutional innovation is leading to an ecological evolution of industrial parks [1] Data-Driven Transformation - The transformation of industrial parks is witnessing a new model where "technology empowerment × institutional adaptation" creates a multiplier effect, catalyzing the evolution towards open innovation communities [2] - Data-driven approaches are foundational for smart parks, utilizing IoT, 5G, and other technologies to collect data on equipment, environment, and personnel, thereby constructing a unified data platform to break down information silos [2] - Core aspects include comprehensive data integration and intelligent decision-making, leveraging AI for situational awareness and decision optimization within the parks [2]