scholarly journals Empirical Analysis on the Influence of Industrial Structure Adjustment on Carbon Emission in Hebei Province

2017 ◽  
Vol 06 (03) ◽  
pp. 287-291
Author(s):  
艳红 李
Keyword(s):  
Empirical Analysis ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Hebei Province ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment

scholarly journals Carbon Emission Reduction Performance of Green Biased Technology Progress: From the Perspective of Industrial Structure Adjustment

2021 ◽  
Vol 251 ◽  
pp. 02070
Author(s):  
Yang Li
Keyword(s):  
Emission Intensity ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Low Carbon ◽  
Suppression Effect ◽  
Carbon Emission Intensity ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment ◽  
Productivity Indicators ◽  
The Impact

This paper uses China’s provincial panel data from 1997 to 2015 to construct the Malmquist- Luenberger productivity indicators to measure the level of green biased technology progress, and measures the change in industrial structure based on indicators of low-carbon transformation, optimization and rationalization of industrial structure, and empirically tests the impact of green biased technology progress and industrial structure adjustment on China’s provincial carbon emission intensity. The results show that green biased technology progress can significantly exert the suppression effect of carbon emission intensity through the channel of low-carbon transformation of industrial structure.

The Analysis of the Influence of Highway Construction and Operation on Industrial Structure Adjustment in Heilongjiang Province - Co-Integration Test and Causality Test Based on Data from 1995 to 2009

2012 ◽  
Vol 424-425 ◽  
pp. 205-209
Author(s):  
Ying Jin
Keyword(s):  
Industrial Structure ◽  
Highway Construction ◽  
Test Method ◽  
Policy Recommendations ◽  
Heilongjiang Province ◽  
Causality Test ◽  
Integration Test ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment ◽  
Expressway Construction

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

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

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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