数字化要素赋能产业结构升级的空间效应——以成渝双城经济圈为例

The spatial effect of industrial structure upgrading enabled by digitized factors: A case study of Chengdu-chongqing twin-city economic circle

摘要:

鉴于目前缺乏将数字化要素赋能视为创新的认识,且忽略了地理距离特征、经济距离特征和数字新基建距离特征条件下数字化要素产生的空间效应。从数字化创新环境、数字化创新技术、数字化人力资本、数字化劳动力、数字化资本等维度,构建完整的数字化要素评价体系,选取2012－2021年成渝双城经济圈的空间面板数据,基于地理、经济和数字新基建距离特征条件下,建立内生增长模型。结果表明：成渝双城经济圈数字化要素和产业结构升级具有禀赋差异特征和时空集聚特征。“成都+重庆”中心城市产业呈现出集群化特征,相邻地区产业呈现专业化特征,对“成都+重庆”中心城市的空间依赖性越来越强。三种距离特征条件下,数字化要素赋能产业结构升级具有空间效应,空间外溢效应大于域内的空间效应。地里距离特征条件下的数字化技术创新,经济距离特征和数字新基建距离特征条件下的数字化创新环境,数字新基建距离特征条件下的数字化人力资本,对域外产业结构升级具有空间抑制作用。动态空间面板模型可以修正静态空间面板模型产生的过高空间估计误差。

Abstract:

Based on the lack of innovation, the spatial effect of digital elements under the conditions of geographical distance, economic distance and digital new infrastructure construction distance is neglected. From the dimensions of digital innovation environment, digital technology, digital human capital, digital labor force, digital capital, etc. , to construct a complete evaluation system of digital elements, select the spatial panel data of the Chengdu-chongqing Shuangcheng Economic Circle from 2012 to 2021, and based on the characteristics of geographical distance, economic distance and distance of new digital infrastructure, an endogenous growth model was established. The results show that the digital factors and industrial structure upgrading in Chengdu-chongqing-shuangcheng District economic circle have the characteristics of endowment difference and global spatial-temporal agglomeration, and the differences and agglomeration characteristics are gradually expanding. The industry of“Chengdu + Chongqing” central city shows obvious features of clustering, and the industry of adjacent areas shows specialized features, and the spatial dependence on“Chengdu + Chongqing” central city is becoming stronger and stronger. Under the three kinds of distance characteristics, the upgrading of industrial structure with digitized elements brings the spatial effect in the domain and the spatial spillover effect out of the domain. Among them, the digital technological innovation environment under the conditions of the characteristics of the distance between the fields, the characteristics of the economic distance and the characteristics of the digital new infrastructure, under the condition of the characteristic of digital new infrastructure distance, the digital human capital has the spatial restraining effect on the upgrading of the industrial structure abroad. Dynamic spatial panel model can correct the high spatial estimation error caused by static spatial panel model.