scholarly journals An Examination of Green Credit Promoting Carbon Dioxide Emissions Reduction: A Provincial Panel Analysis of China

2021 ◽  
Vol 13 (13) ◽  
pp. 7148
Author(s):  
Wenjie Zhang ◽  
Mingyong Hong ◽  
Juan Li ◽  
Fuhong Li
Keyword(s):  
Carbon Dioxide ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Emissions Reduction ◽  
Green Finance ◽  
Carbon Emissions Reduction ◽  
Negative Effect ◽  
Emissions Intensity ◽  
The Impact

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.

Measure of Carbon Emissions in Jiangsu Province and Analyses of Factors

2011 ◽  
Vol 71-78 ◽  
pp. 2262-2265
Author(s):  
Jian Hua ◽  
Jun Ren
Keyword(s):  
Carbon Dioxide ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Jiangsu Province ◽  
Energy Structure ◽  
High Carbon ◽  
The Status ◽  
Per Capita ◽  
Emissions Intensity

We calculate the carbon dioxide emissions from the combustion of energy and production process of cement in Jiangsu Province from 1990 to 2009.Through the indicators such as carbon emissions intensity, per capita carbon emissions, we analyze the status and trends of carbon dioxide emissions in Jiangsu Province. Based on the factors of industrial structure, energy structure and high-carbon products, we give some suggestions.

scholarly journals The Potential For Economic Growth And Carbon Dioxide Emissions Reduction: Using Input-Output Framework

2020 ◽  
Vol 214 ◽  
pp. 01038
Author(s):  
Lihao Sun ◽  
Yuxiang Shen
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Economic Structure ◽  
Emissions Reduction ◽  
Heat Power ◽  
Input Output ◽  
Key Factor ◽  
The Status ◽  
Emissions Intensity

As people’s living standards continue to ameliorate, people become more and more demanding of the status of eco-environment, and carbon emissions are a key factor affecting the eco-environment. We analyze the carbon emissions intensity and carbon emissions potential of different sectors in China based on the input-output model. The results show that the sector of Production and Supply of Electric Power and Heat Power has the highest embodied carbon emissions intensity because the sector provides the country with necessary electricity and heat power for its economic growth. In addition, this paper determines the key carbon emissions sectors using elasticity method, and the results show that Construction is the most influential carbon emissions sector in the future. By restricting key carbon emissions sectors and encouraging the non-key carbon emissions sectors, we can take into account both economic development and carbon emissions reduction with the multi-objective model. The results show that under the present economic scale of China, carbon emissions can decrease from 11591 million ton to 11011 million ton, with a difference of 580 million ton. This indicates that with the assurance of present economic growth, we can achieve the goal of reducing carbon emissions by adjusting the economic structure. Based on results of this paper, we have also made recommendations for adjusting the economic structure to achieve emission reduction targets.

Contracting Emissions Reduction Supply Chain Based on Market Low-Carbon Preference and Carbon Intensity Constraint

2020 ◽  
Vol 37 (02) ◽  
pp. 2050003
Author(s):  
Jiaping Xie ◽  
Jing Li ◽  
Ling Liang ◽  
Xu Fang ◽  
Guang Yang ◽  
...  
Keyword(s):  
Supply Chain ◽  
Cost Sharing ◽  
Numerical Study ◽  
Carbon Intensity ◽  
Emissions Reduction ◽  
Low Carbon ◽  
Cost Coefficient ◽  
Carbon Emissions Reduction ◽  
Negative Effect ◽  
The Impact

Carbon emissions reduction has become a frequently discussed topic in industry and academia. However, how can reduction effects be enhanced with dominant brand and downstream manufacturer? This paper incorporates emissions reduction into a green supply chain which considers consumers’ low-carbon preference behavior and government intensity regulations, in order to discuss the impacts of consumers’ environmental awareness and government constraints on optimal emissions reduction and profit, respectively. The paper first constructs three reduction models on the basis of reality: independent reduction by manufacturer, contractual reduction by brand and collaborative reduction by both. Then it concludes the optimal decisions and compare the models. The results show that both the profits and emissions reduction will be decreased with the strengthened carbon intensity constraint, but the cost-sharing contract can mitigate this negative effect on dominant brand and society. Meanwhile, the acceptable range of cost-sharing ratio will be smaller with a lower cost coefficient of emissions reduction and a higher consumers’ preference. Furthermore, government should design the incentive method or regulate the carbon market to improve the social welfare level. Lastly, a numerical study is conducted, the impact of several key factors on supply chain performance and model selection are presented for management decisions.

Analysing scenarios for energy emissions reduction in South Africa

2005 ◽  
Vol 16 (4) ◽  
pp. 34-40
Author(s):  
S Moodley ◽  
RM Mabugu ◽  
R Hassan
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Negative Impact ◽  
Ghg Emissions ◽  
Emissions Reduction ◽  
International Pressure ◽  
Energy Emissions ◽  
The Impact

Global environmental pressure dictates that South Africa reduces its greenhouse gas (GHG) emissions, while national objectives focus on economic development. South Africa is faced with the dilemma of simultaneously alleviating poverty, reducing unemployment, growing the economy and responding to international pressure to reduce GHG emissions. As a result, policies that promote energy emissions reduction without being harmful to economic growth and national developmental priorities are needed. Environmental fiscal reform presents one such option. The impact of this is still unclear for South Africa, and this paper explores this issue. Energy balance data on energy consumption, energy emissions and input-output data for South Africa are used to assess the economic and environmental effects of environmental reform in the energy sector. Despite the high reduction in energy emissions, a tax on coal is not selected as the best alternative given the high negative impact on the economy. A tax on oil results in a low reduction in energy emissions, which limits its use as an environmental policy. The scenario using a petroleum products tax results in small decreases in economic growth but it has low energy emissions reduction, hence, this alternative is not selected as an option. Energy subsidy reform offers the second highest reduction in real energy emissions and a low decrease in economic growth, and this scenario is therefore recognised as the best option for carbon dioxide reduction in South Africa. The electricity tax offers moderate reductions in real energy emissions and a moderate decrease in economic growth, and therefore, it is deduced that the electricity tax option could be another option for carbon dioxide emissions reduction in South Africa.

scholarly journals Firm's Imperfect Compliance and Pollution Emissions: Theory and Evidence from South Africa

2019 ◽  
pp. 1-9
Author(s):  
Yu Kun Wang ◽  
Xiaoyong Zhang
Keyword(s):  
South Africa ◽  
Carbon Dioxide ◽  
Environmental Degradation ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Environmental Taxes ◽  
Low Carbon ◽  
The Cost ◽  
The Impact ◽  
The Relationship

Carbon emissions exacerbate global climate change. Transitioning away from coal is a cost-effective path to a low-carbon economy. Although many articles have considered the issue of manufacturers' production and emission of pollution. Few papers have discussed the impact of environmental tax and fuel tax on the cost of environmental degradation. This paper seeks to fill this gap by developing a theoretical model to discuss the relationship between environmental pollution and economic growth. Furthermore, in order to support the theoretical results and testify the relationship between carbon emissions and taxation, we take South Africa as a case for discussing the effect of environmental taxation and fuel levy on firms' carbon emissions. We show that the impact of environmental taxes on carbon dioxide emissions is greater than that of fuel taxes on carbon dioxide emissions. In addition, we find that the GDP level of South Africa is on the left of the inflection points of Kuznets Curve. In other words, the current growth of South Africa's economy is at the cost of worsening the environmental degradation.

scholarly journals The Paradoxical Relationship between Renewable Energy and Economic Growth: A Cross-National Panel Study, 1990-2013

2017 ◽  
Vol 23 (2) ◽  
pp. 540-564 ◽  
Author(s):  
Ryan P Thombs
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Total Carbon ◽  
Renewable Energy Consumption ◽  
Negative Effect ◽  
Cross National

This cross-national study employs a time-series cross-sectional Prais-Winsten regression model with panel-corrected standard errors to examine the relationship between renewable energy consumption and economic growth, and its impact on total carbon dioxide emissions and carbon dioxide emissions per unit of GDP. Findings indicate that renewable energy consumption has its largest negative effect on total carbon emissions and carbon emissions per unit of GDP in low-income countries. Contrary to conventional wisdom, renewable energy has little influence on total carbon dioxide emissions or carbon dioxide emissions per unit of GDP at high levels of GDP per capita. The findings of this study indicate the presence of a “renewable energy paradox,” where economic growth becomes increasingly coupled with carbon emissions at high levels of renewable energy, and the negative effect of economic growth on carbon emissions per unit of GDP lessens as renewable energy increases. These findings suggest that public policy should be directed at deploying renewable energy in developing countries, while focusing on non-or-de-growth strategies accompanied with renewable energy in developed nations.

scholarly journals Study on Transition of Primary Energy Structure and Carbon Emission Reduction Targets in China Based on Markov Chain Model and GM (1, 1)

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Feng Ren ◽  
Lihong Gu
Keyword(s):  
Markov Chain ◽  
Carbon Emissions ◽  
Markov Chain Model ◽  
Primary Energy ◽  
Emissions Reduction ◽  
Energy Structure ◽  
Chain Model ◽  
Total Energy Consumption ◽  
Carbon Emissions Reduction ◽  
Emissions Intensity

The improvement of the primary energy structure has been considered as one of the important measures to achieve the carbon emissions reduction targets in China. This current paper constructed a Markov chain model, which was used to forecast the transition of primary energy structure. GM (1, 1) model and a linear regression model were used to predict the total energy consumption in 2020 and 2030. Then, the CO2emissions intensity was calculated, and the realization of carbon emissions reduction targets in China was analyzed. The findings indicated that (1) China’s nonfossil energy share in primary energy cannot be achieved naturally. (2) Part of the carbon emissions intensity in China’s commitments was not binding actually. (3) The realization of the carbon emissions peak and the reduction target of carbon emissions intensity in 2030 would need the policy intervention. In the last part of this paper, policy recommendations on carbon emissions reduction in China were provided.

Sign in / Sign up

Export Citation Format

Share Document