近年来,随着中国数字经济在技术、市场、运营等方面融合创新不断加强,准确评估数字经济核心产业协同演化效应变化规律,对制定和实施数字经济相关政策至关重要。本文基于2012至2021年中国30个省份的13,200条权威部门统计数据,利用灰色关...近年来,随着中国数字经济在技术、市场、运营等方面融合创新不断加强,准确评估数字经济核心产业协同演化效应变化规律,对制定和实施数字经济相关政策至关重要。本文基于2012至2021年中国30个省份的13,200条权威部门统计数据,利用灰色关联分析、熵值赋权法、改进的CRITIC法等方法,构建了量化评估模型,发现了数字经济核心产业协同演化效应自2012年的0.8512波动下降至2021年的0.4590。结果表明,推动产业发展的核心驱动力已经从产业内部向产业外部进行了转移。基于此,本文提出了一系列发展建议,以期为推动中国数字经济核心产业高质量发展提供有益借鉴。In recent years, as the integration and innovation of China’s digital economy in technology, market, and operations have strengthened, accurately assessing the synergistic evolution of core industries in the digital economy has become crucial for the formulation and implementation of related policies. Based on 13,200 authoritative statistical data points from 30 provinces in China between 2012 and 2021, this paper constructs a quantitative evaluation model using grey relational analysis, the entropy weighting method, and the improved CRITIC method. The analysis reveals that the synergistic evolution effect of core industries in the digital economy fluctuated downward from 0.8512 in 2012 to 0.4590 in 2021. The results indicate that the key driving forces for industrial development have shifted from internal to external industrial factors. Based on these findings, this paper proposes a series of development recommendations, aiming to offer valuable insights for promoting the high-quality development of China’s core digital economy industries.展开更多
文摘近年来,随着中国数字经济在技术、市场、运营等方面融合创新不断加强,准确评估数字经济核心产业协同演化效应变化规律,对制定和实施数字经济相关政策至关重要。本文基于2012至2021年中国30个省份的13,200条权威部门统计数据,利用灰色关联分析、熵值赋权法、改进的CRITIC法等方法,构建了量化评估模型,发现了数字经济核心产业协同演化效应自2012年的0.8512波动下降至2021年的0.4590。结果表明,推动产业发展的核心驱动力已经从产业内部向产业外部进行了转移。基于此,本文提出了一系列发展建议,以期为推动中国数字经济核心产业高质量发展提供有益借鉴。In recent years, as the integration and innovation of China’s digital economy in technology, market, and operations have strengthened, accurately assessing the synergistic evolution of core industries in the digital economy has become crucial for the formulation and implementation of related policies. Based on 13,200 authoritative statistical data points from 30 provinces in China between 2012 and 2021, this paper constructs a quantitative evaluation model using grey relational analysis, the entropy weighting method, and the improved CRITIC method. The analysis reveals that the synergistic evolution effect of core industries in the digital economy fluctuated downward from 0.8512 in 2012 to 0.4590 in 2021. The results indicate that the key driving forces for industrial development have shifted from internal to external industrial factors. Based on these findings, this paper proposes a series of development recommendations, aiming to offer valuable insights for promoting the high-quality development of China’s core digital economy industries.
