碳值控制下产业环境、要素流动对中国制造业转型升级的驱动效应研究*

Research on the Driving Effect of Industrial Environment and Factor Mobility on the Transformation and Upgrading of China"s Manufacturing Industry under Carbon Value Control

摘要:

基于要素流动的视角,构建了我国制造业转型升级的环境驱动模型,利用2014—2019年30个省级面板数据,分析了产业环境与要素流动的驱动效应。结果表明：(1)产业环境优化能显著促进制造业转型升级。产业结构升级的驱动效应最高；产业吸引力、碳值控制、政府创新激励次之；而劳动力成本上升和环境规制呈现抑制效应；并且,政府政策调控对制造业创新性转型有分解驱动效应。(2)要素流动能显著影响制造业转型升级,并发挥部分中介效能。要素流入的直接驱动效果表现为“技术>资本>劳动”的递减规律,中介驱动能力表现为“资本>技术>劳动”的递减趋势,且中、高端要素流动演化为驱动机制的核心要素。本文最后提出了优化产业环境和促进要素流动等对策建议。

Abstract:

From the perspective of factor mobility, this paper builds an environment-driven model for the transformation and upgrading of China"s manufacturing industry. According to 30 provincial balanced panel data from 2014 to 2019, the paper analyzes the driving effects of industrial environment and factor mobility. The results show that: (1) industrial environment optimization can significantly promote the transformation and upgrading of manufacturing industry. The driving effect of industrial structure upgrading is the highest; Industrial attraction, carbon value control and government innovation incentive are lower. However, the rising of labor cost and environmental regulation make a restraining effect. Moreover, government policy regulation performs a decomposition driving effect on manufacturing innovation transformation. (2) Factor mobility can significantly affect the transformation and upgrading of manufacturing industry, and partly play a role of the mediating effect. The direct driving effect of factor inflow shows a decreasing trend of ‘technology > capital > labor’, and the intermediary driving ability shows a decreasing trend of ‘capital > technology > labor’, and the mid and high range factor mobility evolves as the core element of the driving mechanism. At the end of this paper, some suggestions are put forward to optimize the industrial environment and promote the mobility of factors.