Search Results (3)

Proposing a comprehensive evaluation measure of the high-quality development of manufacturing industry (HQDMI), the purpose of this paper is to explore whether the high-quality development of manufacturing industry (HQDMI) promotes the application of industrial robots (AIR). Evidence shows that, first, the index of HQDMI across regions shows an upward trend from 2008 to 2020. Furthermore, the application of industrial robots significantly increases the high-quality development of manufacturing industry. Our heterogeneity analysis further infers that the positive effect of AIR on HQDMI is more pronounced in wealthy and eastern regions. The mechanism analysis shows that the application of industrial robots can generate the “value-added effect of informatization” and the “resource allocation effect”. The findings provide important theoretical support for the use of industrial robots and the promotion of high-quality development. Full article

The research on high-quality development of the manufacturing industry (HQDMI) in the Yellow River Basin is in the exploratory stage, and little literature has systematically analyzed its influencing factors. Based on the grounded theory, this paper makes an exploratory analysis of the influencing factors of the HQDMI in the Yellow River Basin. This study finds that the influencing factors of the HQDMI mainly include six aspects: innovation capability, organization construction, industry resources, institutional environment, industry collaboration, and market demand. By using the HQDMI’s endogenous and exogenous factors as the core, the realization mode of the HQDMI in the Yellow River basin is put forward, and the influencing factors and action model of the HQDMI in the Yellow River Basin are constructed. The findings have significant reference value for promoting the HQDMI in the Yellow River Basin and are helpful for improving the HQDMI research. Full article

Scientific and accurate evaluations of the high-quality development level of the manufacturing industry have important theoretical significance and reference value for the government and for decision-making departments for the formulation of corresponding incentive measures. Firstly, based on rough set theory, this paper proposes an attribute reduction method, which can help to delete redundant indexes and reduce the calculation workload. Secondly, a more scientific combination weighting method is proposed, and the calculation method of the total index in an evaluation index system is given. Finally, the HQDMI evaluation index system is constructed based on the connotations of the high-quality development of the manufacturing industry. Taking China as an example, the total index and sub-index of high-quality development of 30 provinces in China are calculated, the high-quality development level of the manufacturing industry in 30 provinces is clustered based on SPSS24.0, and the visualization of the clustering results is achieved by ArcGIS software. The results show that the high-quality development level of China’s manufacturing industry has regional distribution characteristics. Regions with high development levels are mainly distributed in eastern coastal areas, followed by the central development level, and those of the northeast and west are low. This study provides a theoretical application mode for the evaluation of the high-quality development level of the manufacturing industry, and it has theoretical guidance significance for promoting the high-quality development of the manufacturing industry. Full article