RELATIONSHIP BETWEEN ENERGY CONSUMPTION, ECONOMIC DEVELOPMENT AND CARBON EMISSIONS IN CHINA

2014 ◽  
Vol 13 (5) ◽  
pp. 1173-1180 ◽  
Author(s):  
Jian-Min Wang ◽  
Li Yang ◽  
Huifeng Pan
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Carbon Emissions

scholarly journals Decomposition Analysis of Carbon Emissions from Energy Consumption in Beijing-Tianjin-Hebei, China: A Weighted-Combination Model Based on Logarithmic Mean Divisia Index and Shapley Value

2018 ◽  
Vol 10 (7) ◽  
pp. 2535 ◽  
Author(s):  
Yi Liang ◽  
Dongxiao Niu ◽  
Weiwei Zhou ◽  
Yingying Fan
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Logarithmic Mean ◽  
Consumption Structure ◽  
Consumption Intensity ◽  
Weighted Combination

The Beijing-Tianjin-Hebei (B-T-H) region, who captures the national strategic highland in China, has drawn a great deal of attention due to the fog and haze condition and other environmental problems. Further, the high carbon emissions generated by energy consumption has restricted its further coordinated development seriously. In order to accurately analyze the potential influencing factors that contribute to the growth of energy consumption carbon emissions in the B-T-H region, this paper uses the carbon emission coefficient method to measure the carbon emissions of energy consumption in the B-T-H region, using a weighted combination based on Logarithmic Mean Divisia Index (LMDI) and Shapley Value (SV). The effects affecting carbon emissions during 2001–2013 caused from five aspects, including energy consumption structure, energy consumption intensity, industrial structure, economic development and population size, are quantitatively analyzed. The results indicated that: (1) The carbon emissions had shown a sustained growth trend in the B-T-H region on the whole, while the growth rates varied in the three areas. In detail, Hebei Province got the first place in carbon emissions growth, followed by Tianjin and Beijing; (2) economic development was the main driving force for the carbon emissions growth of energy consumption in B-T-H region. Energy consumption structure, population size and industrial structure promoted carbon emissions growth as well, but their effects weakened in turn and were less obvious than that of economic development; (3) energy consumption intensity had played a significant inhibitory role on the carbon emissions growth; (4) it was of great significance to ease the carbon emission-reduction pressure of the B-T-H region from the four aspects of upgrading industrial structure adjustment, making technological progress, optimizing the energy structure and building long-term carbon-emission-reduction mechanisms, so as to promote the coordinated low-carbon development.

Factor Decomposition of Regional Carbon Emissions from Energy Consumption for China

2014 ◽  
Vol 962-965 ◽  
pp. 1332-1337
Author(s):  
Ya Wei Qi
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Spatial Structure ◽  
Scale Effect ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Regional Economic Development ◽  
Structure Effect ◽  
Regional Economic ◽  
Technical Effect

This paper calculates the carbon emissions from energy consumption of 30 provinces in China through 2000-2010, and research correlation of factors such as regional economic gap and regional characteristics of carbon emissions in the process of regional economic coordinated development. The LMDI decomposition model is used to decompose the growth rate of China’s carbon emissions into 4 types of driving factors, i.e. GDP, industrial pollutants emission intensity, industrial structure and imbalance of regional economic development, to analyze influence of scale effect, technical effect, industrial structure effect and regional spatial structure effect on carbon emissions in the process of China's regional economic development. The results show that: The scale effect is determinants of carbon emissions increasing. The technical effect is the most important force to inhibit the increment of carbon emissions. Industrial structure effect and regional spatial structure effect on carbon emissions are not yet stable, but have a certain pull impact on increasing carbon emissions.

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.

Analysis on the Status and Influencing Factors of Industrial Carbon Emissions in Northeast China

2013 ◽  
Vol 869-870 ◽  
pp. 866-869
Author(s):  
Shao Ping Li ◽  
Qian Wang ◽  
Yan Meng
Keyword(s):  
Energy Efficiency ◽  
Economic Development ◽  
Energy Consumption ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Northeast China ◽  
Pull Factors ◽  
Industrial Carbon ◽  
Small Impact ◽  
The Status

This paper calculates the carbon emissions in the three northeastern provinces from 1997 to 2011 by using carbon formula, and compares the differences of the carbon emissions among the three provinces. Based on the LMDI model, the paper reveals the influences of every factor on the industrial carbon emissions. The population, economic development and industrialization rate are the pull factors in the increasing industrial carbon emissions, and the economic development is the main reason, followed by industrialization rate, the population has the least impact. The energy efficiency and structure of energy consumption are the inhibitory factors in the increasing industrial carbon emissions, energy efficiency is the most important factor to reduce industrial carbon emissions, and structure of energy consumption has a small impact on the industrial carbon emissions.

Association between Carbon Emissions and Energy Consumption Structure in Hebei Province

2014 ◽  
Vol 955-959 ◽  
pp. 2607-2612
Author(s):  
Chun Hua Zhao ◽  
Yu E Wang ◽  
Dong Sheng He
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Total Energy ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Utilization Efficiency ◽  
Structure Evolution ◽  
Low Carbon ◽  
Total Energy Consumption ◽  
Consumption Structure

Based on the results of SSM, regional natural endowment conditions, the stage of economic development and the industrial structure evolution determine the energy consumption structure, while the changes in total energy consumption determine the changes in amount of carbon emissions. Under the premise of the total energy consumption is determined, the optimization of energy consumption structure will reduce the carbon intensity (emissions per unit of GDP), that is to achieve low-input, low-emission energy, high output, which is the essence of the low carbon economic development model. Hebei Energy consumption is heavily dependent on coal; however, coal utilization efficiency is low and unit energy carbon emissions are huge, therefore, energy structure dominated by carbon-based energy is a long-term constraint of the development of low carbon economy. Energy consumption structure is composed of regional natural endowments, the stage of economic development and industrial structure, and it is difficult to change in the short term.

Analysing Nexus between Economic Growth, GHG Emissions, and Energy Consumption for India

2021 ◽  
Vol 17 (1) ◽  
pp. 1-16
Author(s):  
Asim Hasan ◽  
Rahil Akhtar Usmani
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Carbon Emissions ◽  
Series Data ◽  
Gas Emissions ◽  
Current Time ◽  
Causal Influence ◽  
Integration Test

Rising greenhouse gas emissions is an important issue of the current time. India’s massive greenhouse gas emissions is ranked third globally. The escalating energy demand in the country has opened the gateway for further increase in emissions. Recent studies suggest strong nexus between energy consumption, economic growth, and carbon emissions. This study has the objective to empirically test the aforementioned interdependencies. The co-integration test and multivariate vector error correction model (VECM) are used for the analysis and the Granger Causality test is used to establish the direction of causality. The time-series data for the period of 1971–2011 is used for the analysis. The results of the study confirm strong co-integration between variables. The causality results show that economic growth exerts a causal influence on carbon emissions, energy consumption exerts a causal influence on economic growth, and carbon emissions exert a causal influence on economic growth. Based on the results, the study suggests a policy that focuses on energy conservation and gradual replacement of fossil fuels with renewable energy sources, which would be beneficial for the environment and the society.

scholarly journals Examining the Driving Factors of the Direct Carbon Emissions of Households in the Ebinur Lake Basin Using the Extended STIRPAT Model

2021 ◽  
Vol 13 (3) ◽  
pp. 1339
Author(s):  
Ziyuan Chai ◽  
Zibibula Simayi ◽  
Zhihan Yang ◽  
Shengtian Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Driving Factors ◽  
Series Data ◽  
Lake Basin ◽  
Stirpat Model ◽  
Consumption Structure ◽  
Ebinur Lake ◽  
Ebinur Lake Basin

In order to achieve the carbon emission reduction targets in Xinjiang, it has become a necessary condition to study the carbon emission of households in small and medium-sized cities in Xinjiang. This paper studies the direct carbon emissions of households (DCEH) in the Ebinur Lake Basin, and based on the extended STIRPAT model, using the 1987–2017 annual time series data of the Ebinur Lake Basin in Xinjiang to analyze the driving factors. The results indicate that DCEH in the Ebinur Lake Basin during the 31 years from 1987 to 2017 has generally increased and the energy structure of DCEH has undergone tremendous changes. The proportion of coal continues to decline, while the proportion of natural gas, gasoline and diesel is growing rapidly. The main positive driving factors affecting its carbon emissions are urbanization, vehicle ownership and GDP per capita, while the secondary driving factor is residents’ year-end savings. Population, carbon intensity and energy consumption structure have negative effects on carbon emissions, of which energy consumption structure is the main factor. In addition, there is an environmental Kuznets curve between DCEH and economic development, but it has not yet reached the inflection point.

scholarly journals The Urbanisation Impacts on the Policy Effects of the Carbon Tax in China

2021 ◽  
Vol 13 (12) ◽  
pp. 6749
Author(s):  
Shuyang Chen
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Computable General Equilibrium ◽  
Carbon Tax ◽  
Negative Impact ◽  
Positive Impact ◽  
Evaluation Framework ◽  
Socioeconomic Impacts ◽  
Policy Effects ◽  
Distributed Lag

In the literature, very few studies have focused on how urbanisation will influence the policy effects of a climate policy even though urbanisation does have profound socioeconomic impacts. This paper has explored the interrelations among the urbanisation, carbon emissions, GDP, and energy consumption in China using the autoregressive distributed lag (ARDL) model. Then, the unit urbanisation impacts are inputted into the policy evaluation framework of the Computable General Equilibrium (CGE) model in 2015–2030. The results show that the urbanisation had a positive impact on the GDP but a negative impact on the carbon emissions in 1980–2014. These impacts were statistically significant, but its impact on the energy consumption was not statistically significant. In 2015–2030, the urbanisation will have negative impacts on the carbon emissions and intensity. It will decrease the GDP and the household welfare under the carbon tax. The urbanisation will increase the average social cost of carbon (ASCC). Hence, the urbanisation will reinforce the policy effects of the carbon tax on the emissions and welfare.

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