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Study and Implement the Spirit of the Fourth Plenary Session of the 20th Communist Party of China(CPC) Central Committee

The Intrinsic Characteristics, Core Elements, and Cultivation  Pathways of Future Industries 

Yan Junzhou, Guo Jingyu

(Business School, Zhengzhou University of Aeronautics, Zhengzhou 450015, China)

Abstract: The development of future industries, which serve as a vital force in propelling  high-quality economic growth, is marked by complexity and uncertainty. These traits make tra⁃ ditional industrial theories unsuitable for understanding or guiding future industries. Complex  Adaptive Systems (CAS) Theory offers a fresh lens through which to examine future industries, highlighting aspects such as diversity, nonlinearity, and adaptability that resonate closely with  the nature of these industries. Drawing on this theoretical framework, it becomes essential to  dissect the inherent characteristics of future industries while identifying their key components  and development pathways. Firstly, building on insights from existing studies, the essence of fu⁃ ture industries is further clarified through the perspectives of dynamic evolution and industrial  ecosystems. It is suggested that future industries represent emerging sectors fueled by advance⁃ ments in cutting-edge technologies and transformative innovations, distinguished by their rapid  evolutionary patterns and strong reliance on interconnected ecological systems. Building on this  foundation, the technical and economic traits, as well as the evolving patterns of future indus⁃ tries, are thoroughly analyzed from both dynamic and static perspectives. This analysis high⁃ lights key characteristics, including the innovative and transformative nature of their core tech⁃ nologies, the significant economic value and deep interconnections they create, the unpredict⁃ ability of their growth trajectories, their collaborative development, and the ever-changing struc⁃ ture of their industrial composition. Following this, grounded in the CAS theoretical framework, four essential components of future industries—technology, market, ecology, and policy—are  identified. These components form a dynamic cycle, where technological advancements spark  market needs, market demands steer resource allocation, ecological challenges prompt regula⁃ tory policies, and supportive policies, in turn, hasten technological progress. This cycle sheds  light on the complex, nonlinear interactions among these critical elements. Finally, a compre⁃ hensive four-dimensional framework for collaborative cultivation, characterized as "technologydriven, demand-guided, ecosystem-supported, and policy-aligned", is developed from the per⁃ spectives of technology, market, ecosystem, and policy. The proposed cultivation pathways are outlined as follows: ①Technological advancements are achieved by setting up research insti⁃ tutes and collaborative laboratories, tackling technical challenges through two key approaches— open innovation partnerships and in-depth fundamental research; ②Demand anticipation is fa⁃ cilitated through user engagement in innovation and by addressing significant societal issues, enabling strategic entry into emerging fields, creating new growth opportunities, and stimulating  market needs via a sequential three-step process of "prototype testing, large-scale trials, and  commercial rollout"; ③A "core-radiation" model for industrial clusters is established to pool  innovation resources, while resource distribution is enhanced by developing computing infra⁃ structure and refining mechanisms for data trading and intellectual property rights; ④Tailored  policies are implemented in stages to match the level of technological readiness, and dynamic, layered governance is reinforced through coordination with international standards. This article  presents a fresh perspective on the research of future industries and offers valuable strategic  guidance for policymakers and businesses. It supports China's efforts to gain a competitive edge  in the global advancement of future industries. 

Key words: future industries; intrinsic characteristics; core elements; cultivation pathways; artificial intelligence; big data; technology-driven; disruptive