Research on the relationship and influencing factors between carbon emission and economic growth of industrial sectors in China Under the Background of New Normal

2020 ◽  
Vol 10 (4) ◽  
pp. 132-159
Author(s):  
JAECHUL CHOI ◽  
SHIQIAN HU ◽  
DONGGEN RUI
Keyword(s):  
Economic Growth ◽  
Influencing Factors ◽  
Carbon Emission ◽  
New Normal ◽  
Industrial Sectors ◽  
The Relationship

Study on the Relationship between Energy Consumption, Carbon Emission and Economic Growth in China

2013 ◽  
Vol 869-870 ◽  
pp. 746-749
Author(s):  
Tian Tian Jin ◽  
Jin Suo Zhang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Structure ◽  
Ardl Model ◽  
Relationship Of ◽  
The Relationship ◽  
Reducing Energy

Abstract. Based on ARDL model, this paper discussed the relationship of energy consumption, carbon emission and economic growth.The results indicated that the key to reduce carbon emissions lies in reducing energy consumption, optimizing energy structure.

scholarly journals Analysis of Energy-Related Carbon Emissions in Inner Mongolia, China

2019 ◽  
Vol 11 (24) ◽  
pp. 7008
Author(s):  
Sheng-Wen Tseng
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Co2 Emissions ◽  
Emission Intensity ◽  
Inner Mongolia ◽  
Carbon Emission ◽  
Economic Structure ◽  
Renewable Energy Policy ◽  
Intensity Factors ◽  
Industrial Sectors

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.

Research on the Relationship between Economic Growth, Environmental Governance Investment and Carbon Emission--Based on the Time Series Data from 2000 to 2019

2020 ◽  
pp. 713-727
Author(s):  
Xiaohui Wang, Xin Zhang
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Environmental Governance ◽  
Time Series Data ◽  
Series Data ◽  
Per Capita ◽  
The Relationship

The study on the relationship between investment in environmental governance, carbon emission and economic growth is helpful for the relevant government departments to coordinate the influence among them when formulating the policies of reducing emission and conserving energy, so as to take the comparative advantages of various factors and promote the benign interaction between economic development and environmental governance. In this paper, the data of Per capita GDP, per capita investment in environmental governance and per capita CARBON dioxide emissions in China from 2000 to 2019 are selected as the research basis, and variables are studied by means of Granger causality and impulse response function. As shown in the results, there is a single Granger relationship between investment in environmental governance and carbon emissions, that is, the increase of investment in environmental governance leads to the reduction of carbon emissions. The influence of economic growth on environmental governance investment is small, but in the long term, it can restrain the growth of carbon emissions. Investment in environmental governance can promote economic growth and stimulate a reduction in the emissions in the short term; Economic growth was hindered by the emissions in the long term and fail to stimulate increased investment in environmental governance. Based on these findings, this paper proposes policy Suggestions for optimizing the structure of environmental governance investment, improving the carbon emission monitoring and response mechanism, and strengthening the technological level of energy conservation and emission reduction.

Decomposition analysis of the decoupling process between economic growth and carbon emission in Beijing city, China: A sectoral perspective

2019 ◽  
Vol 31 (6) ◽  
pp. 961-982 ◽  
Author(s):  
Min Su ◽  
Shasha Wang ◽  
Rongrong Li ◽  
Ningning Guo
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
National Level ◽  
Decomposition Analysis ◽  
Transport Sector ◽  
Beijing City ◽  
Emission Mitigation ◽  
Economic Output ◽  
Industrial Sectors

Cities play a major role in decoupling economic growth from carbon emission for their significant role in climate change mitigation from national level. This paper selects Beijing (economic center and leader of emission reduction in China) as a case to examine the decoupling process during the period 2000–2015 through a sectoral decomposition analysis. This paper proposes the decoupling of carbon emission from economic growth or sectoral output by defining the Tapio decoupling elasticity, and combined the decoupling elasticity with decomposition technique such as Logarithmic Mean Divisia Index approach. The results indicate that agriculture and industrial sectors presented strong decoupling state, and weak decoupling is detected in construction and other industrial sectors. Meanwhile, transport sector is in expansive negative decoupling while trade industry shows expansive coupling during the study period. Per-capita gross domestic product, industrial structure, and energy intensity are the most significant effects influencing the decoupling process. Agriculture and industry are conducive to decoupling of carbon emissions from economic output, while transport and trade are detrimental to the realization of strong decoupling target between 2000 and 2015. However, construction and other industrial sectors exerted relatively little minor impact on the whole decoupling process. Improving and promoting energy-saving technologies in transport sector and trade sector should be the key strategy adjustments for Beijing to reduce carbon emissions in the future. The study aims to provide effective policy adjustments for policy makers to accelerate the decoupling process in Beijing, which, furthermore, can lay a theoretical foundation for other cities to develop carbon emission mitigation polices more efficiently.

scholarly journals Research on the Relationship Between Green Energy Use, Carbon Emissions and Economic Growth in Henan Province

2021 ◽  
Vol 9 ◽  
Author(s):  
Ya-li Wang
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Use ◽  
Green Energy ◽  
Henan Province ◽  
Sustainable Growth ◽  
Destructive Effect ◽  
The Relationship

This article takes Henan Province as the research object and analyzes the relationship between the green energy use, carbon emissions and economic growth in Henan Province by constructing a VAR model. The results show that: 1) There is a long-term equilibrium relationship between the green energy use, carbon emissions and economic growth in Henan Province. The green energy use can simultaneously promote the reduction of carbon dioxide emissions and sustainable growth of economy; 2)The article examines the “creative” effect and “destructive” effect of green energy use on economic structure in Henan Province, and the “creative” effect is greater than the “destructive” effect, so, the green energy use can help Henan Province to achieve green and low-carbon economic growth; 3) Carbon dioxide emission and economic growth are the important factors affecting the green use of energy in Henan Province. Recently, the call of national carbon emission reduction and the pressure of economic development transition have induced Henan Province to change to a clean and green use of energy to some extent; 4) The contribution rate of green energy use to economic growth shows an inverted U-shaped trend, which increases first and then decreases. Carbon emission has influence on both green energy use and economic growth to a certain degree. Finally, targeted recommendations are presented to promote the green energy use and ensure the coordinated and sustainable development of economy and environment of Henan Province.

scholarly journals A study on the relationship between economic growth and energy consumption under the new normal

2019 ◽  
Vol 1 (1) ◽  
pp. 28-41
Author(s):  
Liming Chen ◽  
◽  
Zhi Zhang ◽  
Fangyuan Chen ◽  
Na Zhou ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
New Normal ◽  
The Relationship

scholarly journals Military expenditure and economic growth: the case of India

2019 ◽  
Vol 5 (2) ◽  
pp. 116-135 ◽  
Author(s):  
Gouda Abdel-Khalek ◽  
Mohammed Gamal Mazloum ◽  
Mohammed Ramadan Mohammed El Zeiny
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Developed Countries ◽  
Military Expenditure ◽  
Content Type ◽  
Modeling Methodology ◽  
Industrial Sectors ◽  
Time Series Approach ◽  
The Impact ◽  
The Relationship

Purpose The relationship between military expenditure and economic growth is complex. The purpose of this paper is to examine this relationship in India. Design/methodology/approach The design of this study is descriptive in the theoretical part, and quantitative in the applied one. The study uses time series approach, and Hendry General-to-Specific (GTS) modeling methodology, to examine and analyze the relationship between military expenditure and economic growth in India, during the period 1980-2016. Findings The study shows the following: Absence of causal relationship between military expenditure and economic growth in India, during indicated period. The continuous regional tensions facing India represent the main factor for adopting Indian military strategy and emphasizing military capabilities. India has been able to build and develop links between civilian and military sectors. The Indian military scientific and manufacturing policies have achieved self-sufficiency in some of its military needs, a strong military industrial base and high levels of military exports. India participated with developed countries in military strategic industries. Such participation contributed to the integration of civilian and military sectors. India gave rights to private sector and foreign direct investment (FDI) for manufacturing in military industries, giving full marketing rights to the Indian government. These new policies considered a great move toward deep changes for Indian military manufacturing policy. Social implications The findings shed light on the importance of stimulating links between civilian and military sectors, particularly in the industrial sectors and scientific activities. Originality/value This study has a contribution to literature of military expenditures' economic effects. Theoretically, this study tries to fill the research gap regarding the impact of military expenditure in Indian case. Furthermore, to the best of the authors' knowledge, this is the first study that examines the relationship between military expenditure and economic growth in India using Hendry general-to-specific (GTS) modeling methodology and time series approach.

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