Notice of Retraction: Shift-Share Analysis of Industrial Structure in Hebei Province

Author(s):  
Zhao Xiu-heng ◽  
Liu Xiao-shan ◽  
Ma Peng-cheng
Energy Policy ◽  
2020 ◽  
Vol 143 ◽  
pp. 111558
Author(s):  
Yazhou Liu ◽  
Jiacong Bian ◽  
Xiangmei Li ◽  
Shuyi Liu ◽  
David Lageson ◽  
...  

2013 ◽  
Vol 380-384 ◽  
pp. 4456-4460
Author(s):  
Ju Qin Wang ◽  
Bao Lin Li

The face of the world economic development has transitioned to a low-carbon economy, in order to meet the dual challenges of climate change and scientific development, the development of low-carbon economy has become the reality of the development of key choice. In this background, based on energy consumption situation in Hebei Province,we use GM (1,1) gray prediction model to predict Hebei Provinces energy consumption and energy consumption structure in 2003-2010. Based on the analysis of the results, support from the policies, laws, and adjust the industrial structure, promote the three levels of the low-carbon concept has made a number of recommendations for the Hebei Province future energy planning and low-carbon development.


Author(s):  
DANQI LIAO ◽  
LISI GUO ◽  
GENGYUAN LIU ◽  
FENG WU ◽  
CAOCAO CHEN ◽  
...  

To achieve the Paris Agreement’s goals, many cities are building satellite cities to relieve the population and environment pressure of the central city. However, past experiences showed that long-term effects of such a solution were partially limited, due to limited attention on the effects of energy consumption and carbon emissions, depending on the dynamics of population and industrial development. This paper overcomes the previous limitations, applying a Long-range Energy Alternatives Planning model to the area of Xiong’an New District, an area extending from Hebei province (China) and nearby Beijing, is planned to support the development of Beijing. The proposed model was based on three different population migration, industrial and transposition scenarios to test their impacts on urban greenhouse gas (GHG) emissions. Results show that: (1) Increased population and building area will markedly increase GHG emissions from residential consumption in Hebei province, while slightly decrease GHG emissions in Beijing. (2) Green planning, including industrial structure changes, industrial transformation, will markedly decrease the GHG emissions in Hebei provinces and it can take down for the emissions increase due to the population migration. This paper proved the effectiveness of a multi-scalar, multi-dimensional, and multi-actor modeling approach for a satellite city and new town development planning, implying that a similar approach could be applied in planning and managing the development of future satellite cities.


2014 ◽  
Vol 1073-1076 ◽  
pp. 2822-2825
Author(s):  
Yan Qing Nie

Hebei province as a great province of energy, its economic development and industrial structure highly dependent on energy. Developing low carbon economy is great significance to Hebei. This article used SWOT analysis method to analyze the advantage, weaknesses, opportunities and threats of low carbon economy of Hebei province. The author put forward countermeasures such as seizing the historical opportunity, creating low carbon development environment, developing new energy industries, optimizing energy structure, adjusting the industrial layout, optimizing the industrial structure.


2012 ◽  
Vol 518-523 ◽  
pp. 4941-4947
Author(s):  
Dong Heng Hao ◽  
Guo Zhu Li ◽  
Dian Ru Wang

This paper estimated the carbon emissions of the large-scale industrial enterprises in Hebei Province, and analyzed their changing factors using the LMDI method. The results shows that major factors affecting the carbon emissions of industry in Hebei province are energy intensity, industrial structure and output changes . Seen from the absolute value , industrial output has the greatest impact on carbon emissions followed by energy intensity. Industrial structures has the least impact. The combined impact of industrial energy saving technological progress and industrial structure adjustment on carbon emissions is less than that of industrial output.


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