Analysis on the influencing factors of industrial structure upgrading in Northeast China
Dapeng Dong, Yan Ling Xu, Guiyan Zhao, Yihui Qi
Abstract
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Dapeng Dong, Yan Ling Xu, Guiyan Zhao, Yihui Qi
Abstract
Open-access reader
Based on the panel data of 34 cities in Northeast China, this paper uses fixed-effect model and quantile regression method to empirically test the influencing factors of industrial structure upgrading. The results show that the government has led the upgrading of the industrial structure in Northeast China, economic growth and investment in fixed assets has inhibitory effect on industrial structure upgrade, the level of opening to the outside world, the financial sector development and the increase of human capital in the northeast has obvious role in promoting industrial structure upgrade. The quantile regression results show that the coefficient of each factor are basically consistent with the estimated results of ordinary panel fixed effect model, which further verifies the robustness of the research conclusions in this paper.
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Based on the panel data of 34 cities in Northeast China, this paper uses fixed-effect model and quantile regression method to empirically test the influencing factors of industrial structure upgrading. The results show that the government has led the upgrading of the industrial structure in Northeast China, economic growth and investment in fixed assets has inhibitory effect on industrial structure upgrade, the level of opening to the outside world, the financial sector development and the increase of human capital in the northeast has obvious role in promoting industrial structure upgrade. The quantile regression results show that the coefficient of each factor are basically consistent with the estimated results of ordinary panel fixed effect model, which further verifies the robustness of the research conclusions in this paper.
Key concepts: Quantile regression, Panel data, Fixed asset, Fixed effects model, Quantile, China, Robustness (evolution), Upgrade