数据基础设施赋能碳达峰碳中和的动态过程机制

The Dynamic Empowering Process Mechanism of Data Infrastructure on Carbon Peak and Neutrality

摘要:

面对我国实现碳达峰碳中和面临的系统性认识和行动方案、数字化手段欠缺等挑战，需要从理论层面探究新型数据基础设施如何协同推进数字中国战略和碳达峰碳中和的国家战略。本文基于对数据要素驱动创新发展和数据基础设施赋能行业数智化的本质特征分析，建构“数据－机制－使能”过程视角下数据基础设施赋能“双碳”的动态整合理论框架，系统论述碳中和数据银行的系统架构和这一新型数据基础设施助力碳达峰碳中和、实现多维价值创造的多层次动态过程机制；同时指出该机制面临数据基础设施运行成本高、区域行业数智化和低碳化高质量发展协同难度大，以及“双碳”多线程、多路径目标实现阻力大等现实挑战，并提出通过制度创新和技术创新双轮驱动、打通碳达峰碳中和数据融通壁垒、健全和完善新时代数据基础设施等对策。

Abstract:

There are challenges including lack of systematic understanding, action plans and digital means on the way to achieve carbon peak and carbon neutralization in China. It is necessary to explore from a theoretical perspective how the new data infrastructure can synergistically promote the digital China strategy and the national strategy of carbon peaking and carbon neutralization for China. Based on the essential characteristics of innovative development driven by data elements and digital intelligence enabled by data infrastructure, this paper constructs a dynamic integration theoretical framework of data infrastructure enabling "dual carbon" from the perspective of "data-mechanism-enabling" process. By systematically discussing the system architecture of the carbon neutral databank, it explains the multi-level dynamic process mechanism of the new data infrastructure to help achieve peak and neutral. At the same time, this paper points out that the mechanism faces such realistic challenges as high data infrastructure operation cost, difficulty in regional coordination of digital, intelligent and low-carbon high-quality development, great resistance to realize the multi-path goals of "dual carbon". It also puts forward some countermeasures, such as dual wheel driving through system innovation and technological innovation, breaking through the barriers of dual carbon data financing, and improving and perfecting the data infrastructure in this paper.