scholarly journals Decomposition Analysis of CO2 Emissions in Northeast China: Insights From Investment Factors

2021 ◽  
Vol 9 ◽  
Author(s):  
Xue Wang ◽  
Lu Li ◽  
Fusen Zhao
Keyword(s):  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Inner Mongolia ◽  
Northeast China ◽  
Driving Forces ◽  
Industry Structure ◽  
Total Carbon ◽  
Investment Efficiency ◽  
Related Factors ◽  
The Impact

Global warming caused by carbon emissions is a central concern across the world. Given the immense contribution of Northeast China to total carbon dioxide emissions, this study explores the driving forces of carbon emissions in that region from the perspective of investment-related factors, applying a logarithmic mean Divisia index (LMDI) model. We assess the driving forces on carbon emissions using a temporal LMDI model and explore interregional differences using a spatial LMDI model. The main findings are as follows. First, the trajectory of investment evolution is consistent with the mitigation of carbon emissions, which indicates that investment-related factors have a significant impact on carbon emissions. Second, the region’s carbon emissions are mainly generated by industry in Inner Mongolia and Liaoning, which suggests that the industry structure in Inner Mongolia should be adjusted to improve its coal-based energy consumption. In Liaoning, in contrast, the investment efficiency effect is a major driving force, which suggests that the regional investment structure should be adjusted to generate a more significant and orderly momentum. Lastly, although the impact of industry structure on carbon emission mitigation has significantly increased over time in Northeast China, local policy needs to be updated regularly. In line with these findings, several potential suggestions are offered for the formulation of practical and appropriate guidelines by the regional government.

scholarly journals The Impact of Green Technology Innovation on Carbon Emissions in the Context of Carbon Neutrality in China: Evidence from Spatial Spillover and Nonlinear Effect Analysis

2022 ◽  
Vol 19 (2) ◽  
pp. 730
Author(s):  
Shihong Zeng ◽  
Gen Li ◽  
Shaomin Wu ◽  
Zhanfeng Dong
Keyword(s):  
Carbon Dioxide ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Technology Innovation ◽  
Green Technology ◽  
Total Carbon ◽  
Marginal Rate ◽  
Spatial Spillover ◽  
Carbon Neutrality ◽  
The Impact

The Paris agreement is a unified arrangement for the global response to climate change and entered into force on 4 November 2016. Its long-term goal is to hold the global average temperature rise well below 2 °C. China is committed to achieving carbon neutrality by 2060 through various measures, one of which is green technology innovation (GTI). This paper aims to analyze the levels of GTI in 30 provinces in mainland China between 2001 and 2019. It uses the spatial econometric models and panel threshold models along with the slack based measure (SBM) and Global Malmquist-Luenberger (GML) index to analyze the spatial spillover and nonlinear effects of GTI on regional carbon emissions. The results show that GTI achieves growth every year, but the innovation efficiency was low. China’s total carbon dioxide emissions were increasing at a marginal rate, but the carbon emission intensity was declining year by year. Carbon emissions were spatially correlated and show significant positive agglomeration characteristics. The spatial spillover of GTI plays an important role in reducing carbon dioxide emissions. In the underdeveloped regions in China, this emission reduction effect was even more significant.

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.

scholarly journals The Impact of Planting Industry Structural Changes on Carbon Emissions in the Three Northeast Provinces of China

2021 ◽  
Vol 18 (2) ◽  
pp. 705
Author(s):  
Hongpeng Guo ◽  
Sidong Xie ◽  
Chulin Pan
Keyword(s):  
Carbon Emissions ◽  
Structural Changes ◽  
Multiple Linear Regression Model ◽  
Industry Structure ◽  
Estimation Methods ◽  
Low Carbon ◽  
Carbon Sinks ◽  
Resource Endowment ◽  
The Government ◽  
The Impact

This paper focuses on the impact of changes in planting industry structure on carbon emissions. Based on the statistical data of the planting industry in three provinces in Northeast China from 1999 to 2018, the study calculated the carbon emissions, carbon absorptions and net carbon sinks of the planting industry by using crop parameter estimation and carbon emissions inventory estimation methods. In addition, the multiple linear regression model and panel data model were used to analyze and test the carbon emissions and net carbon sinks of the planting industry. The results show that: (1). The increase of the planting area of rice, corn, and peanuts in the three northeastern provinces of China will promote carbon emissions, while the increase of the planting area of wheat, sorghum, soybeans, and vegetables will reduce carbon emissions; (2). Fertilizer application, technological progress, and planting structure factors have a significant positive effect on net carbon sinks, among which the changes in the planting industry structure have the greatest impact on net carbon sinks. Based on the comprehensive analysis, it is suggested that, under the guidance of the government, resource endowment and location advantages should be given full play to, and the internal planting structure of crops should be reasonably adjusted so as to promote the development of low-carbon agriculture and accelerate the development process of agricultural modernization.

scholarly journals Understanding the Driving Patterns of the Carbon Emissions in Transport Sector in China: A Panel Data Analysis and Zoning Effect

2018 ◽  
Author(s):  
Danting Lin ◽  
Rongzu Qiu ◽  
Xisheng Hu ◽  
Jiankai Wang ◽  
Lanyi Zhang ◽  
...  
Keyword(s):  
Panel Data ◽  
Carbon Emissions ◽  
Inner Mongolia ◽  
Carbon Emission ◽  
Driving Forces ◽  
Panel Data Analysis ◽  
Transport Sector ◽  
Significant Variable ◽  
Provincial Level ◽  
Per Capita

China’s transportation industry has made rapid progress, which has led to a mass of carbon emissions. However, it is still unclear how the carbon emission from transport sector is punctuated by shifts in underlying drivers. This paper aims to examine the process of China’s carbon emissions from transport sector as well as its major driving forces during the period of 2000 to 2015 at the provincial level. We firstly estimate the carbon emissions from transport sector at the provincial level based on the fuel and electricity consumption using a top-down method. We find that the carbon emission per capita is steadily increasing across the nation, especially in the provinces of Chongqing and Inner Mongolia. However, the carbon emission intensity is decreasing in most provinces of China, except in Yunnan, Qinghai, Chongqing, Zhejiang, Heilongjiang, Jilin, Inner Mongolia, Henan and Anhui. We then quantify the effect of socio-economic factors and their regional variations on the carbon emissions using panel data model. The results show that the development of secondary industry is the most significant variable in both the entire nation level and the regional level, while the effects of the other variables vary across regions. Among these factors, population density is the main motivator of the increasing carbon emissions per capita from transport sector for both the whole nation and the western region, whereas the consumption level per capita of residents and the development of tertiary industry are the primary drivers of per capita carbon emissions for the eastern and central region.

scholarly journals Is Plastic Bag Ordinance Effective? Evidence from Carbon Emissions in China

2018 ◽  
Vol 11 (3) ◽  
pp. 158 ◽  
Author(s):  
Xiufeng Xing ◽  
Hongyu Liu
Keyword(s):  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Olympic Games ◽  
Population Policy ◽  
Continuous Increase ◽  
Plastic Bags ◽  
Long Run ◽  
Child Policy ◽  
Plastic Bag ◽  
The Impact

China has enacted the ordinance of plastic shopping bags since June 1 of 2008, which stipulates the bag thickness should be greater than or equal to 25 micrometers and consumers should pay for each bag they consume. However, the overall effect of the ordinance is lower-than-expected. This paper qualifies the carbon emissions associated with plastic shopping bag consumption in a fifteen year time series. The results indicate that, except for 2008, carbon emissions are on a continuous increase during this period. With respect to carbon emissions in 2008, there does appear a local minimum. Specifically, the carbon emissions relating to plastic bags in 2008 dropped 0.87% when compared with the emissions of 2007. This is not to suggest that the ordinance is effective in the long term, just that there is a slight carbon emission reduction in 2008. The transitory reduction of carbon emissions should be more attributed to the impact of Beijing Olympic Games than the effectiveness of the ordinance in hindsight. From 2009 on, the amount of carbon dioxide emissions generated by plastic shopping bags grows by 0.7-0.8% annually. Also, a two-child policy has taken into effect since 2011 which results in the net increase rate of entire population by 0.05% annually. When taken Beijing 2008 Olympic Games as well as the two-child population policy effect into consideration, it thus implies that the plastic bag ordinance may not be much effective to curb the bag usage in the long run. The theoretical and practical implications of the findings are discussed.

scholarly journals Competition In The eLearning Industry: A Case Study

2011 ◽  
Vol 4 (2) ◽  
pp. 106
Author(s):  
John Kaliski ◽  
Jon Kalinowski ◽  
Paul Schumann ◽  
Tim Scott ◽  
Dooyoung Shin
Keyword(s):  
Strategic Management ◽  
Success Factors ◽  
Driving Forces ◽  
Analytical Techniques ◽  
Industry Structure ◽  
Force Model ◽  
Analytical Skills ◽  
Competitive Capabilities ◽  
The Impact

This paper highlights the structural attributes of the eLearning Industry. The case presents details regarding the evolution of the eLearning market and provides the opportunity for students of strategic management to build critical industry analytical skills by applying a variety of techniques highlighted in the accompanying case teaching note. To obtain a copy of the teaching note, contact the corresponding author by email. The analytical techniques applied include the identification of the chief economic characteristics of the industry, Porters five force model of competition, the impact of driving forces on industry structure, and the identification of necessary competitive capabilities (success factors) for success in the eLearning industry.

scholarly journals 460 Remote Orthopaedic Clinics during COVID-19: Lessons for a Sustainable Future

2021 ◽  
Vol 108 (Supplement_6) ◽  
Author(s):  
A Curtis ◽  
H Parwaiz ◽  
C Winkworth ◽  
L Sweeting ◽  
L Pallant ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Final Analysis ◽  
Total Carbon ◽  
Bottom Line ◽  
Financial Cost ◽  
Face To Face ◽  
Significant Difference ◽  
Mode Of Transport ◽  
The Impact

Abstract Aim The COVID-19 pandemic has led to a focus on non-face to face (NF2F) orthopaedic clinics. Our aim was to establish whether NF2F clinics were sustainable according to the ‘Triple Bottom Line’ framework by taking account of the impact on patients, the planet and financial cost. Method This retrospective cohort study was carried out at a large DGH with 261 patients identified as having undergone F2F or NF2F orthopaedic consultations (April 2020). These patients were contacted by telephone to establish their experience, mode of transport and preference for future consultations. Data was also collected relating to environmental and financial costs to the patient and trust. Results Final analysis included 180 patients (69%): 42% had a F2F consultation and 58% a NF2F consultation. There was no significant difference between each group in terms of convenience, ease of communication, subjective patient safety, or overall satisfaction rating (p>0.05). 80% of NF2F patients would be happy with virtual consultations in future. Mean journey distance was 18.6 miles leading to a reduction in total carbon emissions of 563.9kg CO2e (66%), equating to 2106 miles in a medium sized car. The hospital visit carbon cost (heating, lighting, and waste generation) was reduced by 3,967kg CO2e (58%). The financial cost (petrol and parking) was also reduced by an average of £8.96 per person. Conclusions NF2F consultations are aligned to the NHS ‘Long Term Plan’. They (i) deliver high patient satisfaction with equivalent outcomes to F2F consultations; (ii) have reduced carbon emissions from transportation and hospital running; and (iii) are cheaper.

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.

Study on Dynamic Change of Carbon Emission in Zhengzhou

2013 ◽  
Vol 291-294 ◽  
pp. 1353-1358
Author(s):  
Ya Li Li ◽  
Yao Chen Qin
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Industrial Production ◽  
Carbon Emission ◽  
Fossil Fuel ◽  
Dynamic Change ◽  
Total Carbon ◽  
Emission Model ◽  
Fossil Energy ◽  
The Impact

In order to explore the impact of the fossil energy consumption,industrial production and population on regional carbon cycle , this paper estimated the dynamic changes of carbon emissions from 2000 to 2009 in Zhengzhou based on the quantitative emission model proposed by IPCC and ORNL. The results show that the total carbon emissions in Zhengzhou was 48944.2 ×104t during 2000~ 2009, among which 83.3% came from fossil fuel combustion,7.7% from industrial production process and 9% came from population. The carbon emissions of fossil energy consumption and industrial production increases gradually.The carbon emission of coal was the highest among all kinds of fossil fuels,occupying 97.1% of the total emission of fossil fuel consumption. The carbon emissions increase progressively and surpass the national average level from 2000 to 2009 in China. And the carbon emissions for 100 million yuan GDP is increasing.Finally, some measures are proposed for the carbon emission reduction in Zhengzhou

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