Research on Spatial-Temporal Characteristics of Agricultural Carbon Emissions in Guangdong Province and the Relationship with Economic Growth

2014 ◽  
Vol 1010-1012 ◽  
pp. 2072-2079 ◽  
Author(s):  
Li Hui Liu ◽  
Huan Ping Xin
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Sequestration ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Inflection Point ◽  
Guangdong Province ◽  
Evolution Law ◽  
Variation Characteristics ◽  
The Relationship

Guangdong province, as a large energy consumption province as well as a large economic province in China, is facing more and more severe pressure from reducing carbon emission. Reducing agricultural carbon emissions and developing agricultural carbon storage and carbon sequestration, will result in a brilliant future for Guangdong agriculture. In this paper, agricultural carbon emissions of Guangdong during 1991-2012 are quantitatively analyzed to discover its variation characteristics. An evident evolution law between Guangdong economic growth and agricultural carbon emissions is revealed. The evolution law showed "N" shaped curve rather than the typical inverted "U" shaped curve of EKC, and there is no indication when the inflection point will appear, which indicates that agricultural carbon pollution will be more serious with economic growth in Guangdong. Finally, some corresponding suggestions on the policy are put forward to reduce carbon emissions.

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 The dynamics of CO2 emissions, energy consumption and economic development: Evidence from the top 28 greenhouse gas emitters

2021 ◽  
Author(s):  
Lei Jin ◽  
Yuan-hua Chang ◽  
Meng Wang ◽  
Xin-zhu Zheng ◽  
Jian-xun Yang ◽  
...  
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Developed Countries ◽  
Renewable Energy Consumption ◽  
The Relationship

Abstract Previous studies have done more research on the relationship between carbon emission reduction, energy consumption and economic growth in specific countries or regions, which rarely consider the issue of heterogeneity between countries or regions, and also lack the refinement of energy consumption categories. Using panel data from 2000 to 2017,this paper divided the top 28 global carbon emission countries into developed countries and developing countries, and explores cointegration and causality between renewable energy consumption,non-renewable energy consumption, economic growth and carbon emission. Results suggested that there is a two-way causal relationship between carbon emissions and economic growth in all economies. There is a two-way causal relationshipbetween economic growth in developed countries and consumption of renewable and non-renewable energy, while there is no significant relationship between economic growth and energy consumption in developing countries. There is a two-way causal relationship between carbon emissions and renewable energyin all economies, but there are significant differences; there is a two-way causal relationship between carbon emissions in developed countries and non-renewable energy, and only one-way causality exists in developing countries.

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.

scholarly journals The carbon emissions of Chinese cities

2012 ◽  
Vol 12 (14) ◽  
pp. 6197-6206 ◽  
Author(s):  
H. Wang ◽  
R. Zhang ◽  
M. Liu ◽  
J. Bi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
National Policy ◽  
Emission Inventories ◽  
Chinese Cities ◽  
Industrial Energy ◽  
Per Capita ◽  
Policy Priority

Abstract. As increasing urbanization has become a national policy priority for economic growth in China, cities have become important players in efforts to reduce carbon emissions. However, their efforts have been hampered by the lack of specific and comparable carbon emission inventories. Comprehensive carbon emission inventories for twelve Chinese cities, which present both a relatively current snapshot and also show how emissions have changed over the past several years, were developed using a bottom-up approach. Carbon emissions in most Chinese cities rose along with economic growth from 2004 to 2008. Yet per capita carbon emissions varied between the highest and lowest emitting cities by a factor of nearly 7. Average contributions of sectors to per capita emissions for all Chinese cities were 65.1% for industrial energy consumption, 10.1% for industrial processes, 10.4% for transportation, 7.7% for household energy consumption, 4.2% for commercial energy consumption and 2.5% for waste processing. However, these shares are characterized by considerable variability due to city-specific factors. The levels of per capita carbon emissions in China's cities were higher than we anticipated before comparing them with the average of ten cities in other parts of the world. This is mainly due to the major contribution of the industry sector in Chinese cities.

The Asymmetric Impact of Economic Growth, Energy Consumption, Population, and R&D on Carbon Emission in Turkey

2022 ◽  
pp. 200-215
Author(s):  
Nurcan Kilinc-Ata
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Nonlinear Ardl ◽  
Asymmetric Impact ◽  
The Asymmetry ◽  
Growth Energy

The presented study analyzes the asymmetry effect of research and development (R&D) expenditures, population growth, energy consumption, and economic growth on carbon emissions in the sample of Turkey for the period 1990-2020. Nonlinear ARDL is used to control the asymmetry of the variables. Linear ARDL is used to control the long-term and short-term relationships between the variables. The findings show that there is a symmetrical or linear relationship between the variables of R&D expenditures, population growth, energy consumption, economic growth, and carbon emissions. The findings display that economic growth and R&D are effective in reducing carbon emissions, while energy consumption seems to increase carbon emissions. Interestingly, the population was found to be effective in reducing carbon emissions in the study. In order for Turkey to reach its 2050 target, it is necessary to give priority to environmental regulations and policies.

Application of Lagrange Interpolation Algorithm in Beijing Carbon Emissions Prediction

2014 ◽  
Vol 1010-1012 ◽  
pp. 1844-1849
Author(s):  
Mo Yu Wang ◽  
Yan Yan Wang ◽  
Xiao Liu Shen
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Lagrange Interpolation ◽  
Interpolation Algorithm ◽  
Beijing City ◽  
Depth Analysis ◽  
The Government ◽  
Matlab Programming ◽  
The Relationship

Based on the depth analysis of the related literature and the present situation of energy consumption of Beijing’s carbon emissions, through the MATLAB programming on the Lagrange interpolation algorithm, the paper predicts the carbon emissions from energy consumption in Beijing’s economic growth. According to the relevant historical and predicted data, the paper examines the process of Carbon Emission Trend of energy consumption in Beijing. The results show that: Beijing carbon emissions showed "Y=X3" type growth. Combining the current situation, the paper analyzes the results, and finally provides decision support to the government, to promote the relationship between economic growth and energy consumption of carbon emissions in Beijing city into the inverted "U" trend.

scholarly journals Grey Relational Analysis of Carbon Emission and Energy Consumption from the Perspective of Economic Growth in Guangdong Province

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Jianxiang Zhang
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Grey Relational Analysis ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Guangdong Province ◽  
Coal Consumption ◽  
Relational Analysis ◽  
Grey Relational

The relationship among economy, energy and carbon emission in Guangdong province is analyzed by using grey relational analysis method. Studies show that coal consumption is the main reason for the increase in carbon dioxide emissions in Guangdong province after its rapid economic growth. Therefore, to slow down the carbon dioxide emissions in Guangdong province, the first step is to improve the energy consumption structure. 

Recent advances in the relationship between economic development and carbon emissions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ziqi Yin ◽  
Xue Jin
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
High Frequency ◽  
Visual Analysis ◽  
Rapid Development ◽  
Content Type ◽  
Wide Range ◽  
The Relationship

PurposeWith the rapid development of the economy, carbon emissions have also risen sharply. This study explores the relationship between the two by combining the literature of relevant fields and maps the analytical framework from the knowledge base to the research frontier model using CiteSpace.Design/methodology/approachUsing CiteSpace and data statistical tools, we conducted a bibliometric and visual analysis of nearly ten thousand research papers on carbon emissions and economic development published in the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases from 1991 to 2021.FindingsIt shows that research on economic development and carbon emissions is developing steadily and involves a wide range of fields. Notably, keywords such as “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. Research institutions in the USA and China have made great contributions to research on economic development and carbon emissions. The authors should continue to enrich and improve research on related subjects and concerns to reasonably plan the path of carbon emission reduction and economic development.Originality/valueThe study analyzes the evolution of the relationship between carbon emissions and economic growth to provide scholars a more comprehensive and in-depth understanding of the relationship from an international perspective.

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