探究中国新一代信息技术产业绿色创新能力不平衡不充分问题，对于加快产业结构绿色转型、推进区域协调发展具有重要意义。基于2011—2021年中国省域新一代信息技术产业面板数据，采用熵值法测度中国新一代信息技术产业绿色创新能力，借助Dagum基尼系数、方差分解方法及QAP方法揭示中国新一代信息技术产业绿色创新能力的空间差异、结构来源和形成机理。研究发现：①中国新一代信息技术产业绿色创新水平呈稳步上升态势，并兼具东高东北低与南高北低的分布特征；②中国新一代信息技术产业绿色创新能力地区差异在样本考察期内呈波动上升趋势，区域间差异成为空间非均衡的主要原因；③人力资本差异是造成我国新一代信息技术产业绿色创新能力不平衡的主要结构来源，资金投入差异、经济效益差异、对外开放差异对我国新一代信息技术产业绿色创新能力差异的影响程度依次减弱，而区域绿色创新能力差异形成机理存在地区异质性。研究结论对于揭示我国新一代信息技术产业绿色创新能力差异现状、推动形成优势互补的新一代信息技术产业绿色创新高质量发展格局具有重要启示。

In order to upgrade the industrial system, the Chinese government has been striving to accelerate the application of green technology and other key technological innovations. However, the green innovation development of China's new generation of information technology industry is facing problems of insufficiency and imbalance. On the one hand, although with the steady implementation of the "double carbon" strategy, China's industry has gradually changed its extensive development mode,the quality of green innovation is insufficient, and the unequal allocation of green innovation factors among regions has brought about the problem of multilevel differentiation, restricting the regional balance of China's industry. On the other hand, the problem of multi-level differentiation brought about by the uneven allocation of green innovation factors among regions restricts the balanced regional development of China's industries. Therefore, this paper quantifies the green innovation capability of China's new generation of information technology industry, accurately grasps the differences in green innovation capability of China's new generation of information technology industry, clarifies the formation mechanism of the evolution of the difference in green innovation capability, and provides powerful support for the construction of a green technological innovation system, the implementation of regional coordinated development strategy, and provides decision-making references for the realization of the high-quality transformation and development of the new generation of information technology industry in this new period.
On the basis of the panel data of 30 provinces from 2011 to 2021, this paper examines the level and evolution trend of green innovation capability of China's new generation information technology industry from three dimensions of green innovation resource allocation, comprehensive green innovation benefit and green innovation environmental support by using entropy value method with the spatial scales of four major segments and north-south region, and reveals the spatial differences, structural sources and formation mechanism of green innovation capability of China's new generation information technology industry with the help of Gini coefficient and its decomposition method, variance decomposition method and QAP method.
The marginal contribution of this paper includes several aspects. Firstly, with a focus on the requirements of green and low-carbon development for the development of new-generation information technology industry, it expansively incorporates the relevant indicators reflecting green development into the comprehensive measurement index system to scientifically measure the green innovation capacity of China's new-generation information technology industry, and then reveal its current situation and potential for enhancement. Secondly, the spatial differences and evolution characteristics of China's new-generation information technology industry's green innovation capacity provide a realistic basis for exploring differentiated paths of green innovation capacity enhancement. Thirdly, the variance decomposition method is used to examine the structural sources of the differences in green innovation capacity of China's new generation of information technology industry in order to reveal the key areas of synergistic enhancement of green innovation capability of the new generation of information technology industry. Fourthly, the constraints of the differences in green innovation capability of China's new-generation information technology industry are examined by the QAP method from a relational data perspective,providing decision-making reference for the establishment of a new mechanism of regionally coordinated green innovation development that is effective.
The study draws four conclusions. Firstly, from the measurement results, the level of green innovation capability of China's new generation of information technology industry has steadily risen during the sample examination period, but there is a large gap between different provinces. Secondly, from the results of Gini coefficient measurement, the regional gap in green innovation capability of China's new generation information technology industry shows a fluctuating upward trend, and the regional imbalance problem is more prominent in the eastern region. Thirdly, from the results of variance decomposition, the contribution of human capital difference is the highest; the contribution of capital input difference, economic efficiency difference, and technology creation difference is smaller. Fourthly, from the results of QAP measurement, the degrees of positive influence of human capital difference, capital input difference, economic efficiency difference, and opening-up difference on the difference in green innovation capability of the new generation information technology industry decrease in order, while the influence of industrial structure difference is negative.