The Impact of the“Belt and Road”Initiative on Industrial Structure Upgrading Along the Corridor

The“Belt and Road”initiative functions as a novel impetus for China’s external economic development within the framework of the new normal of economic growth.By leveraging panel data from 30 provinces and regions across China for the period of 2010 to 2020,this research assesses the influence of the“Belt and Road”initiative on the enhancement of the industrial structure along its trajectory.The findings indicate that:the most notable influence on the rationalization and progress of the industrial structure is observed in the eastern region,with the central region following suit,whereas the western region has yet to exhibit a significant transformation.The analysis delves into the role of technological innovation,concluding that the initiative primarily catalyzes optimization and upgrading through the effect of technological advancement.The study advances several pertinent policy recommendations to support and enhance these developments.

Systematic rationalization approach for multivariate correlated alarms based on interpretive structural modeling and Likert scale

Alarm flood is one of the main problems in the alarm systems of industrial process. Alarm root-cause analysis and alarm prioritization are good for alarm flood reduction. This paper proposes a systematic rationalization method for multivariate correlated alarms to realize the root cause analysis and alarm prioritization. An information fusion based interpretive structural model is constructed according to the data-driven partial correlation coefficient calculation and process knowledge modification. This hierarchical multi-layer model is helpful in abnormality propagation path identification and root-cause analysis. Revised Likert scale method is adopted to determine the alarm priority and reduce the blindness of alarm handling. As a case study, the Tennessee Eastman process is utilized to show the effectiveness and validity of proposed approach. Alarm system performance comparison shows that our rationalization methodology can reduce the alarm flood to some extent and improve the performance.

Industrial policy,structural transformation and economic growth:evidence from China

Industrial policy is an important means for governments to promote industrial development and accelerate economic growth.This paper mainly uses the Chinese Law and Regulation Database as the source of the relevant laws and regulations of China’s industrial policies from 2003 to 2015.On this basis,it empirically examines the impact of industrial policies on economic growth.The study finds that China’s industrial policy has significant positive effects on economic growth and that industrial structure rationalization is an important channel of industrial policy to improve economic growth.The findings are also valid under a series of robustness tests and endogenous corrections.The results of heterogeneity tests confirm that there are heterogeneous effects pertaining to industrial policy on economic growth among different subregional areas,administrative levels,industrial development stages,and industrial policy types.Overall,this paper supports the hypothesis that industrial policy has positive effects on economic growth and,accordingly,provides a basis for industrial policy implementation.

The Threshold Effect of Rationalization of Industrial Structure on Air Quality in Shanxi Province

Shanxi Province is a typical resource-based region. After years of economic transformation, the air quality has been at a low level for a long time. The rationalization of industrial structure can measure the effect of economic transformation and whether it has an important impact on air quality. Therefore, it is necessary to study the non-linear impact that the rationalization of industrial structure has had on air quality at different stages, which is of positive significance for the continuing transformation and upgrading of resource-based regions. This study constructs a threshold regression model based on the panel data of 11 provincial cities in Shanxi Province from 2004 to 2016. The results show that the rationalization of industrial structure had a double threshold effect on air quality under different threshold variables. On the whole, optimizing the rationalization of industrial structure in Shanxi Province can improve air quality, and the improvement effect dropped first, and then began to rise. As a result, the current energy transformation and upgrading process should focus on the rationalization of industrial structure to solve the conflict between air quality and economic development.