【摘要】 随着网络强国战略、国家大数据战略以及“十四五”数字经济发展规划的深入推进，我国数字经济规模不断扩大，占GDP总量4成以上，已成为促进区域一体化发展的重要动力。数字经济具有空间关联特性，能够突破地理限制，对区域经济发展起到牵引带动作用。然而，由于技术的中立性和资本的逐利性，数字经济联动区域一体化建设过程中面临数据安全、主体地位异化、数字治理秩序混乱等问题。聚焦数字经济与区域一体化的辩证关系，采用文献分析与比较研究方法，从域外语境与本土实践两个维度分析双重空间叠加作用下的经济事实面貌。研究发现，数字经济联动区域一体化在促进资源优化配置的同时，也带来了数据权益破坏和数字劳动领域异化等非经济价值的损失，这一矛盾的根源在于对经济利益的过度追求而忽视了政治利益和社会利益的平衡。基于此，重构大数据应用的抽象价值体系，提出经济价值目标应关注数据作为生产要素的价值创造机制、资源优化效应和高标准效应，以及数据自由流通的空间整合机制；非经济价值目标则应强化公民数据权利保障和数字劳动领域平等正义实现。研究进一步揭示资源分配不均衡、技术应用能力差异和制度实施差异构成的发展张力，并提出价值融合的制度优化路径：构建数字经济赋能区域一体化的制度体系，处理好政府与市场的关系，尊重市场规律最大化经济福利产出，强化监管职能保障非经济目标实现，协调规制工具完善规范体系，旨在为推动数字经济与区域一体化良性互动提供理论依据，对促进数据要素市场建设、解决数据孤岛和数据壁垒问题以及实现区域协同发展具有重要借鉴意义。更多还原

【Abstract】 With the in-depth advancement of the Internet Power strategy, the big data strategy, and the development of a digital economy during the 14th Five-Year Plan, China′s digital economy has been continuously expanding, accounting for more than 40% of GDP, and it has become an important driving force for promoting regional integration. The digital economy, with its spatial correlation characteristics, can break through geographical limitations and play a leading and driving role in regional economic development. However, due to the neutrality of technology and the profit-seeking nature of capital, problems such as data security, subject status alienation, and digital governance disorder have emerged during the integration of the digital economy with regional integration construction. Focusing on the dialectical relationship between the digital economy and regional integration, using literature analysis and comparative research methods, this paper analyzes the economic factual characteristics under the dual spatial superposition effect from two dimensions: foreign context and local practice. This paper finds that while integrating the digital economy with regional integration optimizes resource allocation, it also brings losses of non-economic values such as damage to data rights and alienation in the field of digital labor. This contradiction stems from the excessive pursuit of economic interests while ignoring the balance of political and social interests. Based on this, this paper reconstructs the abstract value system for big data applications. It is proposed that economic value targets should focus on data′s value creation mechanism, resource optimization effect, and high standard effect as a production factor, as well as the spatial integration mechanism for the free circulation of data; non-economic value targets should strengthen citizens′ data right protection and the realization of equality and justice in the field of digital labor. This paper further reveals the development tensions constituted by unbalanced resource allocation, differences in technology application capabilities, and differences in institutional implementation and proposes institutional optimization paths for value integration: constructing an institutional system in which the digital economy empowers regional integration, striking a proper balance between the government and the market, respecting market rules to maximize economic welfare output, strengthening regulatory functions to ensure the realization of non-economic goals, and coordinating regulatory tools to improve the normative system. This paper aims to provide a theoretical basis for promoting the benign interaction between the digital economy and regional integration, and it has important reference significance for promoting the construction of the data factor market, solving the problems of data silos and data barriers, and achieving coordinated regional development.更多还原