School of Management of Xi`an University of Architecture and Technology, Xi`an, China.
PLoS One. 2023 Apr 26;18(4):e0283693. doi: 10.1371/journal.pone.0283693. eCollection 2023.
The improvement of the manufacturing industry's total factor productivity depends not only on innovation factor double circulation, but also on cross-border mobility to a large extent.
This paper constructs a model that demonstrates the impact of innovation factor double circulation and cross-border flow on the manufacturing industry's total factor productivity, and it seeks to estimate this impact by using panel data from China's manufacturing industry taken from the period 2009-2020.
It finds the path dependence of innovation factors significantly increased their double circulation cost, and did not significantly improve the manufacturing industry's total factor productivity.
It finds the path dependence of innovation factors significantly increased their double circulation cost, and did not significantly improve the manufacturing industry's total factor productivity. Cross-border flow improves the marginal efficiency of innovation factors, realizes the spatial agglomeration of high-end innovation factors and greatly promotes the double circulation of innovation factors in a way that effectively improves the manufacturing industry's total factor productivity.
These conclusions have profound policy implications: cross-border flows can promote the incremental adjustment of innovation factors; fully release the development potential and toughness of the dual circulation of innovation factors; and are essentially conducive to improving the manufacturing industry's total factor productivity.
制造业全要素生产率的提高不仅取决于创新要素双循环，在很大程度上还取决于跨境流动。
本文构建了一个模型，该模型展示了创新要素双循环和跨境流动对制造业全要素生产率的影响，并试图利用 2009-2020 年中国制造业的面板数据来估计这种影响。
创新要素的路径依赖显著增加了其双循环成本，并没有显著提高制造业的全要素生产率。
创新要素的路径依赖显著增加了其双循环成本，并没有显著提高制造业的全要素生产率。跨境流动提高了创新要素的边际效率，实现了高端创新要素的空间集聚，极大地促进了创新要素的双循环，有效地提高了制造业的全要素生产率。
这些结论具有深远的政策意义：跨境流动可以促进创新要素的增量调整；充分释放创新要素双循环的发展潜力和韧性；从本质上有利于提高制造业的全要素生产率。
