This study focuses on the mediation channels through which the financial performance of intelligent manufacturing industries closely related to the Fourth Industrial Revolution has been affected. Along with compiling a massive volume of datasets publicized by the Chinese government and other authoritative institutions, a survey of the 317 listed enterprises of the intelligent manufacturing industries in China has been established for statistical analysis. Using Structural Equation Modeling (SEM), this research tests six hypotheses and confirms the inter-factor impact relationship between exogenous and endogenous factors. We find that innovation efforts mainly led by increasing investment in Research & Development (R&D), along with high liquidity, surely lead to good financial performance, whereas innovation efforts alone do not. Government support policy has been found to be closely related not only to higher liquidity, but to good financial performance through the common channel of R&D investment. Regional innovation capability has been revealed to be related to R&D investments, and, furthermore, to liquidity, which shows that the regional innovation system in China has been functioning relatively well to induce enterprises to increase investments and secure higher liquidity, and finally contribute to achieving better business performance. However, regional economic development shows no relationship with R&D investments, and consequently neither with liquidity nor with performance.
This study examines whether historical events are as important as Krugman (1991a) had suggested they are in determining geographic agglomeration. Using the time series of Korean manufacturing (1955-2003), which is longer than other country studies, the study also examines how the mean reversion factor and dispersion factor have evolved during substantial economic development. The results confirm that industry mobility in Korea is high and the historical events may not be so important in geographic agglomeration of industries. The analysis of the mean reversion factor and dispersion factor supports the argument that transport costs are a major source of change in geographic agglomeration in the long run.
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