Factors and Paths of Transformation and Upgradation of Chemical Industry in Shandong, China

Abstract

In the context of the Internet, there is a historical fusion between the new round of scientific and technological revolution and industrial transformation and the accelerated transformation of economic development methods. The task of the Shandong chemical industry’s transformation and upgradation is arduous and urgent. In this context, this article studies the influencing factors and development paths of the transformation and upgradation of the Shandong chemical industry. It provides theoretical guidance for high-quality and sustainable development of the Shandong chemical industry. First, this paper uses the fuzzy cognitive map tool to learn the historical laws of the transformation and upgradation of the Shandong chemical industry. It then determines the path of chemical industry transformation and upgradation, according to the interactions and weights between the learned indicators. By adjusting the influence coefficient between the indicators on each path, the degree of change in the influence of the indicator on the target value is analyzed. The critical path and the key indicators on the path according to the degree of impact are determined. Finally, the key path selected in this article is: return on investment (C8) → unit production value environmental consumption (C9) → number of R&D personnel (C4) → R&D expenditure internal expenditure (C6) → industrial output (C1) → energy consumption coefficient (C3). The key indicator on this path is R&D expenditure internal expenditure. According to the results, the development suggestion for the transformation and upgradation of the chemical industry in Shandong is to take the path of green development through technological innovation.

Evaluation Model and Empirical Research on the Green Innovation Capability of Manufacturing Enterprises from the Perspective of Ecological Niche

“…Green innovation capability is not limited to the ability to generate products that foment environmental protection. Some scholars pay attention to the two indicators of innovation, input and output, to evaluate the efficiency or performance of green innovation [18][19][20]. Chen et al [21] selected input and output indicators and used the three-stage chain network slack-based measure (SBM) model to analyze the green innovation efficiency of industrial enterprises in 29 provinces of China.…”

“…Inputs and outputs [18][19][20] Scholars mainly focus on the green innovation model, efficiency, and methods at the regional or industrial level, and few studies analyze the green innovation ability of enterprises based on the niche theory.…”

Spatial distribution characteristics and analysis of influencing factors on different manufacturing types in Shandong Province

“…After reforming and opening, the economy of the Shandong Province grew rapidly, economic structure reform deepened, economic and social development underwent major changes, and the industrial structure greatly improved [ 24 ]. In recent years, the economy of Shandong has consistently ranked third in China, with the chemical industry economy ranking first [ 25 ] and the textile industry ranking third [ 26 ]. However, owing to historical factors, national macroeconomic policies, environmental effects, and international economic environmental constraints, the Shandong Province’s industrial structure remains problematic [ 24 ].…”

Influencing factors and paths of upgrading consumer goods industry in Shanghai: a FsQCA approach

“…(2) Some scholars explored the path of industrial upgrading. Han et al (2020) used the fuzzy cognitive map tool to understand the historical pattern of industrial transformation and upgrading in Shandong to determine the path of industrial transformation and upgrading. Baumgartinger-Seiringer et al (2021) focused on studying the rise of new industrial pathways, using the example of the automotive industry in western Sweden.…”