scholarly journals The Relationship between Carbon Dioxide Emissions and Industrial Structure Adjustment for Shandong Province

2011 ◽  
Vol 5 ◽  
pp. 1121-1125 ◽  
Author(s):  
Zhang Xiaoqing ◽  
Ren Jianlan
2013 ◽  
Vol 781-784 ◽  
pp. 2542-2545
Author(s):  
Yong Li Cao ◽  
Ning Ning An ◽  
Na Yao

The paper elaborates development strategy of low-carbon economy in China on the basis of describing the relationship between low-carbon economy and industrial structure as well as industrial structure influencing factors, through analysis by China national conditions and the difficulties and obstacles encountered in the process of reducing carbon emissions.To some extent, it can provide theoretical support and practical guidance for industrial structural transformation which is based on the development of low-carbon.


2013 ◽  
Vol 734-737 ◽  
pp. 1688-1692
Author(s):  
Ding Qiang Duan ◽  
Qiu Hong Hu

This paper reviewed and analyzed the literature about the improvement mechanism of energy efficiency, examining the relationship among industrial structure adjustment, technology innovation and energy efficiency with Hubei province’s data during 2001~2010, and finding that industrial structure adjustment and technology innovation can promote energy efficiency very significantly. Even so, because the elimination of backward production capacity will be more difficult and the energy-saving space will be narrower, government should encourage citizens’ participation, pay more attention to the use of market mechanisms, and promote the development and application of the technology using preferential tax policies.


2012 ◽  
Vol 616-618 ◽  
pp. 1484-1489 ◽  
Author(s):  
Xu Shan ◽  
Hua Wang Shao

The coordination development of economy-energy-environment was discussed with traditional environmental loads model, combined with "decoupling" theory. Considering the possibilities of social and economic development, this paper set out three scenarios, and analyzed quantitatively the indexes, which affected carbon dioxide emissions, including population, per capita GDP, industrial structure and energy structure. Based on this, it forecasted carbon dioxide emissions in China in future. By comparing the prediction results, it held that policy scenario was the more realistic scenario, what’s more it can achieve emission reduction targets with the premise of meeting the social and economic development goals. At last, it put forward suggestions to implement successfully policy scenario, from energy structure, industrial structure, low-carbon technology and so on.


2021 ◽  
Vol 13 (13) ◽  
pp. 7148
Author(s):  
Wenjie Zhang ◽  
Mingyong Hong ◽  
Juan Li ◽  
Fuhong Li

The implementation of green finance is a powerful measure to promote global carbon emissions reduction that has been highly valued by academic circles in recent years. However, the role of green credit in carbon emissions reduction in China is still lacking testing. Using a set of panel data including 30 provinces and cities, this study focused on the impact of green credit on carbon dioxide emissions in China from 2006 to 2016. The empirical results indicated that green credit has a significantly negative effect on carbon dioxide emissions intensity. Furthermore, after the mechanism examination, we found that the promotion impacts of green credit on industrial structure upgrading and technological innovation are two effective channels to help reduce carbon dioxide emissions. Heterogeneity analysis found that there are regional differences in the effect of green credit. In the western and northeastern regions, the effect of green credit is invalid. Quantile regression results implied that the greater the carbon emissions intensity, the better the effect of green credit. Finally, a further discussion revealed there exists a nonlinear correlation between green credit and carbon dioxide emissions intensity. These findings suggest that the core measures to promote carbon emission reduction in China are to continue to expand the scale of green credit, increase the technology R&D investment of enterprises, and to vigorously develop the tertiary industry.


2012 ◽  
Vol 424-425 ◽  
pp. 205-209
Author(s):  
Ying Jin

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


Author(s):  
Xiaoqing Zhao

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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