Jiangsu Normal University, No. 101 Shanghai Road, Tangshan District, Xu Zhou, Jiangsu Province, China.
Environ Sci Pollut Res Int. 2022 Nov;29(51):77973-77991. doi: 10.1007/s11356-022-21085-1. Epub 2022 Jun 10.
Resource misallocation has become a new threat to China's high-quality economic development, and industrial intelligence may play an important role in optimizing resource allocation. Using panel data of 30 Chinese provinces from 2010 to 2020, the relationship between industrial intelligence and resource misallocation is studied using the spatial Durbin (SDM) model. To further explore the indirect effect of environmental pollution on resource misallocation, the interaction term between industrial intelligence and environmental pollution is added to test how environmental pollution affects the relationship between industrial intelligence and resource. The research results show that industrial intelligence in China has significant spatial correlation. Local industrial intelligence can improve the local resource allocation, but the intelligence of neighboring industries will intensify the resource misallocation in the region. The interaction between environmental pollution and industrial intelligence also further affects resource allocation, and the interaction term can intensify local capital allocation to improve local labor allocation, and the interaction term in the surrounding area will also improve capital and labor misallocation in the region. Heterogeneous results find that industrial intelligence exacerbates resource misallocation in regions with insufficient capital allocation, and the mediating effect of environmental pollution is not significant. However, in places with excess capital allocation, the development of industrial intelligence helps improve resource misallocation, while the mediating effect of environmental pollution is also present, and industrial intelligence can improve resource misallocation through the indirect effect of improving environmental pollution. Therefore, the policies of local industrial development policies need to fully consider the resource allocation situation in the region. At the same time, it needs to smooth the capital circulation mechanism, reduce the cost of capital allocation, establish a sound employment mechanism, and improve labor misallocation.
资源错配已成为中国高质量经济发展的新威胁,而产业智能化可能在优化资源配置方面发挥重要作用。利用 2010 年至 2020 年中国 30 个省份的面板数据,采用空间杜宾(SDM)模型研究了产业智能化与资源错配之间的关系。为了进一步探讨环境污染对资源错配的间接影响,在模型中加入了产业智能化与环境污染的交互项,以检验环境污染如何影响产业智能化与资源之间的关系。研究结果表明,中国产业智能化具有显著的空间相关性。本地产业智能化可以提高当地资源配置效率,但相邻地区产业的智能化会加剧该地区的资源错配。环境污染与产业智能化的交互项也进一步影响了资源配置,交互项可以加强当地资本配置,改善当地劳动配置,周边地区的交互项也会加剧该地区的资本和劳动错配。异质性结果发现,产业智能化加剧了资本配置不足地区的资源错配,而环境污染的中介效应并不显著。然而,在资本配置过剩的地区,产业智能化的发展有助于改善资源错配,同时环境污染的中介效应也存在,产业智能化可以通过改善环境污染来改善资源错配。因此,地方产业发展政策需要充分考虑地区的资源配置情况。同时,需要理顺资本流通机制,降低资本配置成本,建立健全就业机制,改善劳动错配。