scholarly journals Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China

2020 ◽  
Vol 12 (5) ◽  
pp. 1875 ◽  
Author(s):  
Hongli Zhang ◽  
Lei Shen ◽  
Shuai Zhong ◽  
Ayman Elshkaki

Energy-rich cities tend to rely on resource-based industries for economic growth, which leads to a great challenge for its low-carbon and sustainable economic development. The contiguous area of Shanxi and Shaanxi Provinces, and the Inner Mongolia Autonomous Region (SSIM) is one of the most important national energy bases in China. Its development pattern, dominated by the coal industry, has led to increasingly prominent structural problems along with difficult low-carbon transition. Taking energy-rich cities in the contiguous area of SSIM as examples, this study analyzes the main drivers of CO2 emissions and explores the role of economic structure transformation in carbon emission reduction during 2002–2012 based on structural decomposition analysis (SDA). The results show that CO2 emissions increase significantly with the coal industry expansion in energy-rich cities. Economic growth and structure are the main drivers of CO2 emission increments. An energy structure dominated by coal and improper product allocation structure can also cause CO2 emission increases. Energy consumption intensity is the main factor curbing CO2 emission growth in energy-rich cities. The decline of agriculture and services contributes to carbon emission reduction, while the expansion of mining and primary energy processing industries has far greater effects on CO2 emission growth. Finally, we propose that energy-rich cities must make more efforts to transform energy-driven economic growth patterns, cultivate new pillar industries by developing high-end manufacturing, improve energy efficiency through more investment in key technologies and the market-oriented reform of energy pricing and develop natural gas and renewable energy to accelerate low-carbon transition.

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhuang Zhang ◽  
You-Hua Chen ◽  
Chien-Ming Wang

The influence of low-carbon energy on economic development is a vital issue. Using the provincial panel data in China from 2000 to 2017, this work investigated the aggregate effects of low-emission electricity. The results showed that 1) when the ratio of low-emission electricity to total electricity increases by 1%, the GDP per capita will increase by 0.16% and CO2 emissions will decrease by 0.848%. In other words, low-emission electricity can achieve the goal of low-carbon economic development; 2) the self-supply of low-emission electricity, rather than trade and efficiency, is the main reason for China’s boosted economic growth; and 3) low-emission electricity increases the regional economic gap in China. The effects of pollution inhibition and economic promotion on low-emission electricity in developed areas are significantly greater than those in less developed areas. Thus, the low-emission electricity policy in China should benefit the economy and avoid the excessive economic gap among regions. Policymakers should vigorously promote the low-emission electricity revolution and pay attention to the inclination of energy policy to the central and western regions.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1161
Author(s):  
Maedeh Rahnama Mobarakeh ◽  
Miguel Santos Silva ◽  
Thomas Kienberger

The pulp and paper (P&P) sector is a dynamic manufacturing industry and plays an essential role in the Austrian economy. However, the sector, which consumes about 20 TWh of final energy, is responsible for 7% of Austria’s industrial CO2 emissions. This study, intending to assess the potential for improving energy efficiency and reducing emissions in the Austrian context in the P&P sector, uses a bottom-up approach model. The model is applied to analyze the energy consumption (heat and electricity) and CO2 emissions in the main processes, related to the P&P production from virgin or recycled fibers. Afterward, technological options to reduce energy consumption and fossil CO2 emissions for P&P production are investigated, and various low-carbon technologies are applied to the model. For each of the selected technologies, the potential of emission reduction and energy savings up to 2050 is estimated. Finally, a series of low-carbon technology-based scenarios are developed and evaluated. These scenarios’ content is based on the improvement potential associated with the various processes of different paper grades. The results reveal that the investigated technologies applied in the production process (chemical pulping and paper drying) have a minor impact on CO2 emission reduction (maximum 10% due to applying an impulse dryer). In contrast, steam supply electrification, by replacing fossil fuel boilers with direct heat supply (such as commercial electric boilers or heat pumps), enables reducing emissions by up to 75%. This means that the goal of 100% CO2 emission reduction by 2050 cannot be reached with one method alone. Consequently, a combination of technologies, particularly with the electrification of the steam supply, along with the use of carbon-free electricity generated by renewable energy, appears to be essential.


2019 ◽  
Vol 11 (24) ◽  
pp. 7008
Author(s):  
Sheng-Wen Tseng

Inner Mongolia has shown both rapid economic growth and a large renewable energy base, this has come about by the introduction of the “Western Development” strategy and renewable energy policy of the Chinese Government. However, this has led to a contradictory situation where both high carbon emission and reduction exist together. The average economic growth of Inner Mongolia reached 15.76% between 2006 and 2016, which caused huge CO2 emissions. However, promotion of the renewable energy policy (since 2005) resulted in an energy self-sufficiency rate that reached 270.80% by 2016. In this study of the Inner Mongolia carbon emission situation, the logarithmic mean divisia index (LMDI) model was used to analyze the factors affecting carbon emission fluctuations from 2005 to 2016. The decoupling elasticity index was then used to measure the decoupling effect of the economic growth and carbon emissions. The results of this research show that: firstly, CO2 emissions increased rapidly from 651.03 million tons in 2006 to 1723.24 million tons in 2013. Despite a slight decline in CO2 emissions, a level above 1600 million tons was maintained between 2014 and 2016. Secondly, the industry sector was the main source of CO2 emissions in Inner Mongolia, and coal-based fuel played a determining role. Thirdly, in this study, two important contributions were made, including the discovery of two new drivers: labor and emission intensity factors. Further, findings about the effect of the six industrial sectors, economic structure, energy density, and emission intensity factors were also decomposed. It was found that during research period, the population factor, labor factor, and labor productivity factor all had a positive influence on CO2 emissions, whereas the economic structure factor and emission intensity factor had different impacts on the CO2 emissions depending on the particular industrial sector. Furthermore, the energy intensity of six industrial sectors contributed to the decrease in aggregate CO2 emissions. Finally, in this study, it was also found that economic growth and CO2 growth in Inner Mongolia presented a weak decoupling state. Policy recommendations based on these results have been presented.


2014 ◽  
Vol 672-674 ◽  
pp. 2070-2076
Author(s):  
Jie Zhang ◽  
Yun Feng Li ◽  
Yun Hua Yang

In the context of low-carbon economy, this paper analyzes the necessity of technical transformation of the loss reduction in power networks. A low-energy-consumption benefit evaluation model was established for some technical transformation projects for loss reduction, so was a low-emission benefit evaluation model for loss reduction measures. Through field survey and statistical computation, the CO2 emission reduction potential of a selected power supply company, by adopting technical transformation for loss reduction, was comprehensively assessed. On this basis, the optimization of low-carbon technical transformations for loss reduction in plan and construction, operation and maintenance, and management and administration was put forward, in order to realize the mentioned CO2 emission reduction potential of the company.


2021 ◽  
Vol 275 ◽  
pp. 02037
Author(s):  
Yuqi Sheng

As the development of a green and low-carbon economy has received great attention from governments around the world, carbon peaking and carbon neutrality have become important issues raised by China. As a major energy consuming country, government has actively formulated and implemented various carbon emission reduction policies in order to curb carbon emissions. Whether these policies achieve economic growth in the process of energy conservation and emission reduction, and promote China’s green and low-carbon development transition is the focus of this paper. This paper selects data from 30 provinces in China from 2010 to 2019, establishes a model, and empirically analysis the impact of carbon emission reduction policy tools on economic growth. The results show that there is a significant negative correlation between mandatory carbon emission reduction policies and economic growth, while market-based carbon emission reduction policies enhance the economic strength of the region. In addition, this paper empirically tests that after the establishment of the carbon market in 2013, market-based carbon emission reduction policies have significantly promoted economic growth, and the impact of carbon emission reduction policies on economic growth have regional heterogeneity.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Qingchun Liu ◽  
Shufang Liu ◽  
Lingqun Kong

The energy-related carbon emissions of China’s manufacturing increased rapidly, from 36988.97 × 104 tC in 1996 to 74923.45 × 104 tC in 2012. To explore the factors to the change of the energy-related carbon emissions from manufacturing sector and the decoupling relationship between energy-related carbon emissions and economic growth, the empirical research was carried out based on the LMDI method and Tapio decoupling model. We found that the production scale contributed the most to the increase of the total carbon emissions, while the energy intensity was the most inhibiting factor. And the effects of the intrastructure and fuel mix on the change of carbon emissions were relatively weak. At a disaggregative level within manufacturing sector, EI subsector had a greater impact on the change of the total carbon emissions, with much more potentiality of energy conservation and emission reduction. Weak decoupling of manufacturing sector carbon emissions from GDP could be observed in the manufacturing sector and EI subsector, while strong decoupling state appeared in NEI subsector. Several advices were put forward, such as adjusting the fuel structure and optimizing the intrastructure and continuing to improve the energy intensity to realize the manufacturing sustainable development in low carbon pattern.


2011 ◽  
Vol 347-353 ◽  
pp. 329-333
Author(s):  
Wen Hui Zhao ◽  
Zhen Zhan

The relationship between CO2 emission and economic growth of Shanghai is discussed, which is realized in the way of mutual study of the cointegrating analysis of GDP, energy consumption and CO2 emission from 1993 to 2009 of Shanghai and the study of causality based on VECM. As can be seen from the conclusion, in the long run, the relationship between the economic growth and CO2 emission of Shanghai is unidirectional, i.e., the growth of economy will promote the quantity of emitted CO2.However, CO2 emission is not the Granger cause of economic growth. But in the short run, they constitute no cause-and-effect relationship. Therefore, some suggestions regarding the energy conservation and emission reduction policies of Shanghai are presented based on an empirical analysis.


Sign in / Sign up

Export Citation Format

Share Document