Technology progress bias, industrial structure adjustment, and regional industrial economic growth motivation —— Research on regional industrial transformation and upgrading based on the effect of learning by doing

Based on data for the year in Heilongjiang Province, 1995-2009，Using co-integration and Granger causality test method to test causality between Heilongjiang Provincial Expressway Construction and industrial structure ,found that there exists co-integration relationship between the Heilongjiang Provincial Expressway Construction and operation and three industries. Finally, highway construction, relevant policy recommendations are given to adjust the industrial structure of Heilongjiang Province

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Marine economic industrial structure based on fuzzy entropy and least square regression model

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189926 ◽

2021 ◽

pp. 1-6

Author(s):

Xiaoqing Zhao

Keyword(s):

Regression Model ◽

Industrial Structure ◽

Fuzzy Entropy ◽

Least Square ◽

Least Square Regression ◽

Marine Industry ◽

Structure Adjustment ◽

Marine Economy ◽

Industrial Structure Adjustment ◽

China’S Economy

China’s economy is in the critical period of transformation from a traditional land economy to a marine economy. China is rich in marine resources, facing important development opportunities and challenges. The adjustment of marine economic industrial structure is of great significance to promote the development of China’s marine economy. To intuitively analyze and clearly understand the effect of industrial structure adjustment of marine economy in recent years in China, using the data of China’s marine industry from 2008 to 2018, fuzzy entropy theory, and least square regression model, the influence of the scientificity and advancement of marine economic industrial structure adjustment on marine economic was analyzed. Results show that the fitting degree of the model is good and significant, with every 1% increase in the scientificity and height of marine economic industrial structure adjustment, the marine economy increases by 1.88% and 2.80%, respectively. The development of marine science and technology can promote the rise of the marine economy.

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Empirical Study of Effects on Energy Conservation by Industrial Structure Adjustment in Beijing

Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET-2013) ◽

10.2991/icibet.2013.38 ◽

2013 ◽

Author(s):

Chunfang Zheng

Keyword(s):

Empirical Study ◽

Energy Conservation ◽

Industrial Structure ◽

Structure Adjustment ◽

Industrial Structure Adjustment

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Are Industrial Structure Adjustment and Technical Progress Conducive to Environmental Improvement?

Journal of Global Information Management ◽

10.4018/jgim.290828 ◽

2022 ◽

Vol 30 (6) ◽

pp. 0-0

Keyword(s):

Environmental Pollution ◽

Technical Progress ◽

Industrial Structure ◽

Spillover Effects ◽

Pollutant Emissions ◽

Temporal Dependence ◽

Environmental Improvement ◽

Structure Adjustment ◽

Industrial Structure Adjustment ◽

Spatio Temporal

China actively broadens its channels for environmental protection and limits pollutant emissions through industrial structure adjustment and technical progress. Based on panel data of 30 provinces in China from 2003 to 2017, this study investigated the effects of industrial structure adjustment and technical progress on environmental pollution using spatial Dubin models. The findings show the following. (1) As the economy develops, the situation of environmental pollution in various regions deteriorates; moreover, spatio-temporal dependence is an aspect of environmental pollution. (2) Industrial structure adjustment and technical progress are beneficial to environmental improvement. Furthermore, there are spillover effects in factors such as industrial structure and technical progress to varying degrees. Thus, this study suggests that the path of coupling between industrial structure and technical progress should be explored to establish a pollution filtering mechanism, thereby improving environmental quality.

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