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.

The relationship between energy consumption and economic growth: New evidence from Greece

2021 ◽  
pp. 131-153
Author(s):  
Antonia Gkergki
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Gdp Per Capita ◽  
Short Term ◽  
Vector Error Correction ◽  
Per Capita ◽  
Econometric Tests ◽  
The Government ◽  
New Research ◽  
The Relationship

This paper examines the relationship between the energy consumption and economic growth from 1968 to 2019 in Greece, by employing the vector error-correction model estimation. A series of econometric tests are employed concerning the stationary of the data, and the co-integration and the relationship among the variables during the long- and short-term. The em-pirical results suggest that there is no bidirectional relationship between economic growth and energy consumption. More specifically, GDP per capita does not affect the energy consump-tion of the three primary sources either in the long-term or the short-term. In other words, the economic crisis and its implications for GDP do not affect energy consumption, and they are not responsible for the considerable decrease in energy sources' consumption. On the other hand, the energy consumption of oil and coal negatively affect the GDP per capita. These re-sults are different from previous studies' conclusions for Greece; this is because the never been experienced before. These findings raise new research questions and also show the limi-tations of the Greek market, as it is regulated and controlled by the government.

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.

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.

An Empirical Study on China's Energy Consumption, Carbon Emissions and Economic Growth

2013 ◽  
Vol 869-870 ◽  
pp. 377-380
Author(s):  
Meng Hui Liu ◽  
Kun Kun Xue
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Empirical Investigation ◽  
Var Model ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Negative Effect ◽  
The Relationship ◽  
Carbon Economy

With the development of low-carbon economy, it is necessary to explore the relationship between energy consumption, carbon emissions and the economic growth correctly. In this paper, the VAR model was proposed with analyzing the relationship between the three factories through pulse response graph. Through the empirical investigation, the result shows: increasing energy consumption can promote economic growth, while the increasing consumption will also raise emissions of carbon. However, the emissions of carbon have negative effect on economic growth. Therefore, we must correctly handle the relationship between the three factories. Thus, it offers the best way to develop the economic in this paper is to develop the low carbon economy.

Energy intensity, carbon emissions, renewable energy, and economic growth nexus: New insights from Romania

2018 ◽  
Vol 30 (3) ◽  
pp. 427-443 ◽  
Author(s):  
Fırat Emir ◽  
Festus Victor Bekun
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Intensity ◽  
Energy Sources ◽  
Success Story ◽  
Renewable Energy Consumption ◽  
The Relationship ◽  
Growth Hypothesis

This study empirically examines the relationship between energy intensity, carbon emissions, renewable energy consumption, and economic growth for the case of Romania given the conflicting evidences in the literature between 1990 and 2014 on a quarterly basis. To this end, our study employs an autoregressive distributive lag (ARDL) model for cointegration, while direction of causality was achieved via the Toda–Yamamoto model. Empirical findings reveal cointegration among the variables under consideration. The causality results show feedback causality between energy intensity and economic growth while uni-directional causality is seen running from renewable energy consumption to economic growth. Thus, this study affirms the energy-led growth hypothesis. Therefore, our study corroborates with the current success story of Romania attaining her energy targets within two decades. However, there is need to sustain this milestone by further diversification of her energy portfolio into other cleaner energy sources.

CO2 Emissions and Regional Economic Growth: From the Perspective of Energy Consumption in China

2012 ◽  
Vol 524-527 ◽  
pp. 3235-3240
Author(s):  
Jie Tang ◽  
Zhong Ying Qi ◽  
Chun Hong Li ◽  
Ping Ping Fu
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Panel Data ◽  
Carbon Emissions ◽  
Data Model ◽  
Dynamic Panel Data ◽  
Panel Data Model ◽  
Low Carbon ◽  
Policy Makers ◽  
The Relationship

This paper examines the relationship between carbon emissions per capita and economic growth, carbon emissions intensity and economic growth from the perspective energy consumption for the period 1990-2008 respectively. Empirical results reveal that there exist long term cointegration between carbon emissions, regional economy growth and energy consumption in China. We apply dynamic and static panel data model to estimate the curved shape of the relationship between economy and carbon emissions while considering energy consumption respectively. We find that the curved shape is inverted “N” in static panel data model and dynamic panel data model, rather than inverted “U”. Finally this paper gives some suggestions that policy-makers can take different implementation of energy reduction and promote low carbon economic development.

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.

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