scholarly journals Comparison of CO2 emissions reduction efficiency of household fuel consumption in China

2019 ◽  
Vol 11 (4) ◽  
pp. 979 ◽  
Author(s):  
Bingjie Xu ◽  
Ruoyu Zhong ◽  
Yifeng Liu
Keyword(s):  
Natural Gas ◽  
Co2 Emissions ◽  
Negative Impact ◽  
National Level ◽  
Energy Structure ◽  
Kuznets Curve ◽  
Liquefied Petroleum Gas ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Per Capita

The purpose of this paper is to analyze the correlations among per capita gross domestic product (GDP), household fuel (natural gas and liquefied petroleum gas) consumption, and carbon dioxide (CO2) emissions through the environmental Kuznets curve (EKC) at the regional and national level in China using data from 2003 to 2015. The results validate the EKC assumption and show that per capita GDP is positively related to CO2 emissions; per capita natural gas consumption has a negative impact on CO2 emissions; however, per capita liquefied petroleum gas (LPG) consumption has a positive effect on CO2 emissions. Therefore, increasing natural gas consumption can effectively slow down the environmental degradation of China. Given rapid economic growth, changing the energy structure can improve the environment.

The application of trigonometric grey prediction model to average per capita natural gas consumption of households in China

2019 ◽  
Vol 9 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Qiuping Wang ◽  
Subing Liu ◽  
Haixia Yan
Keyword(s):  
Natural Gas ◽  
Prediction Model ◽  
Forecasting Model ◽  
Grey Prediction ◽  
Content Type ◽  
Grey Prediction Model ◽  
Grey Forecasting ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Per Capita

Purpose Due to high efficiency and low carbon of natural gas, the consumption of natural gas is increasing rapidly, and the prediction of natural gas consumption has become the focus. The purpose of this paper is to employ a prediction technique by combining grey prediction model and trigonometric residual modification for predicting average per capita natural gas consumption of households in China. Design/methodology/approach The GM(1,1) model is utilised to obtain the tendency term, then the generalised trigonometric model is used to catch the periodic phenomenon from the residual data of GM(1,1) model for improving predicting accuracy. Findings The case verified the view of Xie and Liu: “When the value of a is less, DGM model and GM(1,1) model can substitute each other.” The combination of the GM(1,1) and the trigonometric residual modification technique can observably improve the predicting accuracy of average per capita natural gas consumption of households in China. The mean absolute percentage errors of GM(1,1) model, DGM(1,1), unbiased grey forecasting model, and TGM model in ex post testing stage (from 2013 to 2015) are 32.5510, 33.5985, 36.9980, and 5.2996 per cent, respectively. The TGM model is suitable for the prediction of average per capita natural gas consumption of households in China. Practical implications According to the historical data of average per capita natural gas consumption of households in China, the authors construct GM(1,1) model, DGM(1,1) model, unbiased grey forecasting model, and GM(1,1) model with trigonometric residual modification. The accuracy of TGM is the best. TGM helps to improve the accuracy of GM(1,1). Originality/value This paper gives a successful practical application of grey model GM(1,1) with the trigonometric residual modification, where the cyclic variations exist in the residual series. The case demonstrates the effectiveness of trigonometric grey prediction model, which is helpful to understand the modeling mechanism of trigonometric grey prediction model.

scholarly journals Re-Estimating the Impact of Natural Gas on Global Carbon Emissions: The Role of Technological Innovation

2021 ◽  
Vol 9 ◽  
Author(s):  
Yue Dou ◽  
Jun Zhao ◽  
Jiajia Dong
Keyword(s):  
Natural Gas ◽  
Technological Innovation ◽  
Random Effect ◽  
Policy Implications ◽  
Estimation Methods ◽  
Kuznets Curve ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
The Impact ◽  
Global Carbon

To investigate the nexus between natural gas consumption, global carbon dioxide (CO2) emissions, and technological innovation, this study employs a balanced panel dataset of 73 countries for the period 1990–2019 based on the fixed effect and random effect estimation methods. Considering potential heterogeneity in the natural gas-CO2 nexus, this study divides the 73 countries into regional comprehensive economic partnership (RCEP) countries and non-RCEP countries for comparative analysis. The main findings indicate that natural gas consumption can significantly promote CO2 emissions for the full sample and non-RCEP countries, and improved technological innovation can help alleviate CO2 emissions from natural gas consumption. In the RCEP countries, technological innovation can improve the carbon emission reduction effect of natural gas. Furthermore, economic growth and global CO2 emissions show an inverted U-shaped relationship, which confirms the environmental Kuznets curve hypothesis. Finally, several policy implications are provided to reduce global CO2 emissions and promote green recovery in the post-epidemic era.

Energy Demand Projections in the 21st Century for Coastal California

2012 ◽  
Author(s):  
Pedro Sequera ◽  
Yanelly Molina ◽  
Jorge E. Gonzalez ◽  
Robert Bornstein
Keyword(s):  
Natural Gas ◽  
21St Century ◽  
Electricity Consumption ◽  
Sea Breeze ◽  
Electricity Demand ◽  
Summer Temperature ◽  
Temperature Trends ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Per Capita

Previous studies conducted by Lebassi et al. (2010) and Sequera et al. (2011) have showed a strong correlation between summer temperature and electricity demand per capita trends for the past four decades for California. Decreasing summer temperature trends in low elevation coastal California sites between 1970–2010 resulted in decreasing electricity demand for the same locations. On the other hand, increasing temperature trends in high-elevation and inland California sites for the same period showed increasing electricity demand during summers. As a consequence of an increased gradient of the concurrent sea breeze potential for the same period, the authors suggested that this increased in sea breeze was responsible for the observed coastal cooling, attributing the seabreeze increase to a counter effect of global warming. The authors also reported increasing temperatures during winter throughout California for the same period, resulting in decreasing natural gas consumption. This work extends this analysis by determining spatial and temporal trends in residential electricity and natural gas consumption using 1990 to 2009 data from the California Energy Commission. Results show yearly electricity consumption per person is lower for coastal counties than inland counties. In contrast, yearly natural gas consumption per capita is decreasing for both coastal and inland counties. Additional work includes the examination of future summer axysymmetric warming and winter homogenous warming as well as their implications on energy demands into the 21st century. Results from 16 downscaled Global Circulation Models for 2 green-house gas emissions scenarios are used to forecast future average temperatures. These projections are correlated with electricity consumption during the summer and natural gas consumption during the winter. Statistical analysis of these results is provided in order to quantify uncertainty on these forecasts.

scholarly journals The Dynamic Impacts of Oil Price on China’s Natural Gas Consumption under the Change of Global Oil Market Patterns: An Analysis from the Perspective of Total Consumption and Structure

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 867 ◽  
Author(s):  
Jian Chai ◽  
Ying Jin
Keyword(s):  
Natural Gas ◽  
Structural Changes ◽  
Global Financial Crisis ◽  
Oil Price ◽  
Energy Structure ◽  
Structural Mutation ◽  
Gas Consumption ◽  
International Price ◽  
Natural Gas Consumption ◽  
The Impact

In recent years, China’s energy structure has been adjusted unceasingly, where the proportion of natural gas has been increasing year by year, and its external dependence has also been increasing. Therefore, it is necessary to discuss the correlation between China’s natural gas market and the international energy market. This paper studies the dynamic relationship between China’s total natural gas consumption, consumption structure, and the international price of oil from the perspectives of mutation and time-variance, using the cointegration test with regime shifts and a state space model. The results show that during the global financial crisis in 2008, the cointegration relationship between China’s total natural gas consumption and the international oil price has undergone structural changes. January 2012 and March 2015 are potential structural mutation points. After the structural mutation, the impact of the international price of oil on China’s total natural gas consumption has weakened. From a structural point of view, urban gas and power generation gas have both been greatly affected by the change of oil price, while industrial gas and chemical gas are less affected. The conclusion here will provide an important empirical reference for optimizing the structure of natural gas consumption and maintaining energy security in China.

scholarly journals Impact of regional aspects on the assessment of natural gas consumption by industrial facilities

2021 ◽  
Vol 296 ◽  
pp. 06009
Author(s):  
Vladimir Koksharov ◽  
Irina Kirshina
Keyword(s):  
Natural Gas ◽  
Large Scale ◽  
National Level ◽  
Gas Industry ◽  
Industrial Facilities ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Reliable Power Supply ◽  
Gas Supply

The gas industry in the modern Russian economy is of great significance both at the at the national level as a whole and on the scale of a particular region. The task of ensuring reliable power supply to the population is enshrined in the framework of the Energy Strategy of Russia for the period until 2035. Gasification of the regions of Russia is one of the large-scale and socially significant areas of work in the domestic market, within the framework of which the task of providing energy to consumers is being solved. At the same time, the current problem of slowing down the demand for natural gas by industrial consumers in the country should be noted. An attempt to explain the behavior of natural gas demand determined the relevance, purpose and objectives of the study. The purpose of the study conducted by the authors is to study the peculiarities of the influence of regional aspects on the assessment of natural gas consumption by industrial facilities. The authors analyzed the complex of existing problems, and proposed a unified classification of natural gas consumption factors in order to solve this problem.The classification of natural gas consumption factors proposed by the authors can be considered in the development of General schemes of gas supply and gasification of the constituent entities of the Russian Federation, programs for the development of gas supply and gasification of regions.

scholarly journals EKC Test of the Relationship between Nitrogen Dioxide Pollution and Economic Growth—A Spatial Econometric Analysis Based on Chinese City Data

2021 ◽  
Vol 18 (18) ◽  
pp. 9697
Author(s):  
Chengyu Han ◽  
Zhaolin Gu ◽  
Hexiang Yang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Natural Gas ◽  
Nitrogen Dioxide ◽  
Kuznets Curve ◽  
Spatial Lag Model ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
The Impact ◽  
The Relationship

During the just concluded 13th Five-Year Plan, China continued to maintain the momentum of rapid economic development, but still faced environmental pollution problems caused by this. Finding the relationship between Nitrogen Dioxide pollution and economic development is helpful and significant in better achieving and optimizing sustainable environmental development. Taking China’s 333 prefecture-level cities as samples from 2016 to 2018, the spatial lag model (SAR) was used to study the impact of economic growth on urban Nitrogen Dioxide pollution. The results show that Nitrogen Dioxide has strong positive characteristics of spatial spillover, but there is a linear relationship between economic growth and Nitrogen Dioxide concentration that slowly rises, and there is no inverted U-shaped relationship, which does not support the Environmental Kuznets Curve (EKC) hypothesis; The results also show the impact of per capita GDP, natural gas consumption, residential natural gas consumption, industrialization, and transportation development on the increase of Nitrogen Dioxide concentration, and the impact of green coverage on the decrease of Nitrogen Dioxide concentration. However, there is no significant relationship between technological investment and Nitrogen Dioxide concentration. The above conclusions are still valid after the robustness test, and recommendations are put forward to reduce Nitrogen Dioxide pollution.

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