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 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.

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.

Empirical research on the relationship between natural gas consumption and economic growth in the Northeast Asia

2018 ◽  
Vol 29 (2) ◽  
pp. 216-231 ◽  
Author(s):  
Li Zhi-Guo ◽  
Han Cheng ◽  
Wei Dong-Ming
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Natural Gas ◽  
Granger Causality ◽  
Northeast Asia ◽  
Gas Consumption ◽  
Causality Relationship ◽  
Natural Gas Consumption ◽  
The Impact ◽  
The Relationship

The Northeast Asia, as one of the most rapidly development regions, has a large amount of energy consumption. Therefore, it is very significant to study the relationship between natural gas consumption and economic growth in the Northeast Asia. This paper builds Panel Data Model to study the relationship between natural gas consumption and economic growth in China, Japan, and Korea from 1991 to 2015, on the basis of analyzing the impact mechanism that natural gas has on economic growth. This paper finds that the Japan’s elasticity coefficient of natural gas consumption is the highest, whereas Korea’s is the lowest, and China’s is in the middle of these two countries, because of countries’ different development level and energy consumption mode. Moreover, the results of Granger causality relationship test show that there is only one-way Granger causality relationship between natural gas consumption and economic growth of China, but no causal relationship is found for Japan and Korea.

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.

scholarly journals Natural Gas Consumption Forecasting Based on the Variability of External Meteorological Factors Using Machine Learning Algorithms

Energies ◽  
2022 ◽  
Vol 15 (1) ◽  
pp. 348
Author(s):  
Wojciech Panek ◽  
Tomasz Włodek
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Natural Gas ◽  
Learning Algorithms ◽  
Weather Conditions ◽  
Machine Learning Algorithms ◽  
Forecast Horizon ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
The Impact

Natural gas consumption depends on many factors. Some of them, such as weather conditions or historical demand, can be accurately measured. The authors, based on the collected data, performed the modeling of temporary and future natural gas consumption by municipal consumers in one of the medium-sized cities in Poland. For this purpose, the machine learning algorithms, neural networks and two regression algorithms, MLR and Random Forest were used. Several variants of forecasting the demand for natural gas, with different lengths of the forecast horizon are presented and compared in this research. The results obtained using the MLR, Random Forest, and DNN algorithms show that for the tested input data, the best algorithm for predicting the demand for natural gas is RF. The differences in accuracy of prediction between algorithms were not significant. The research shows the differences in the impact of factors that create the demand for natural gas, as well as the accuracy of the prediction for each algorithm used, for each time horizon.

scholarly journals Does Environmental Regulation Affect Natural Gas Consumption? Evidence from China with Spatial Insights

2020 ◽  
Vol 12 (8) ◽  
pp. 3354
Author(s):  
Xiaolin Wang ◽  
Xiangyi Lu ◽  
Na Zhou ◽  
Jianzhong Xiao ◽  
Jun Chen
Keyword(s):  
Natural Gas ◽  
Environmental Regulation ◽  
Optimal Allocation ◽  
National Level ◽  
Spillover Effects ◽  
Coal Consumption ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
The Impact ◽  
Consumption Intensity

How environmental regulations affect natural gas consumption in China is an urgent issue that must be addressed to achieve the optimal allocation of natural gas resources. The nonspatial panel model and spatial Durbin model have been applied in this paper to explore the impact of environmental regulation on gas consumption and the influence mechanism of such regulation. The results show that there is a N-inverted curve between environmental regulation and gas consumption at the national level. Three main mechanisms (or paths) by which environmental regulation affects natural gas consumption are discovered: controlling the total amount of coal in the energy mix, reducing industrial coal consumption and adjusting energy market prices. The first and third paths positively and significantly affect gas consumption, while the second path negatively affects gas consumption. Second, the spillover effects of environmental regulation promote the growth of gas consumption and integration of the natural gas market at the national level. Considering the provincial level, however, some regions have high regulation-high gas consumption intensity (HH), while others have low regulation-low gas consumption intensity (LL). Based on the above conclusions, we give recommendations for improving energy regulations in different regions to promote the development of regional natural gas markets.

A Discussion on the Development of LNG Based on Market Concentration of Natural Gas Consumption

2013 ◽  
Vol 341-342 ◽  
pp. 1330-1333
Author(s):  
Ce Ming Zhang ◽  
Xiao Mei Huang ◽  
Shi Ni Peng ◽  
Chang Yin Liao
Keyword(s):  
Natural Gas ◽  
Energy Security ◽  
Hot Spot ◽  
Present Situation ◽  
Energy Market ◽  
Energy Structure ◽  
Efficient Energy ◽  
National Economic ◽  
Gas Consumption ◽  
Natural Gas Consumption

Liquefied natural gas (LNG) is a kind of clean and efficient energy. On one hand import LNG may diversify the energy structure and safeguard energy security for energy consumers, on the other hand the expansion in LNG export may well develop natural gas resources, increase foreign exchange income and promote national economic for energy producers. Therefore, LNG trade is becoming a new hot spot in the global energy market. In this paper, LNG consumption market structure was analyzed based on the popularization ratio of urban gas and consumption concentration of GDP worth of ten thousand yuan. LNG market present situation in China was explained accurately and reasonably.

Information Processing for Analysis of Consumption Flexibility of Global Natural Gas Demand

2014 ◽  
Vol 707 ◽  
pp. 514-519
Author(s):  
Xin Min Zhang ◽  
Kuang Cen ◽  
Wan Li Xing
Keyword(s):  
United States ◽  
Economic Development ◽  
Natural Gas ◽  
Price Elasticity ◽  
Income Elasticity ◽  
The United States ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Natural Gas Demand ◽  
The Impact

Gas consumption exist great regional difference, price and income are the main factors affecting consumption .Global gas consumption has slow growth, but the price in 2008 there was a twist. We analyze the global natural gas consumption and price points using the data from the BP. The level of economic development and natural gas reserves determine the differences in the levels of consumption. In order to eliminate the impact per unit, the regression model uses the data in the log. This paper studied the influence factors of natural gas consumption in North America using of consumer income elasticity and price elasticity. The results show that the gas consumption have a low income elasticity and price elasticity is higher .Law of "S" shape can explain the income elasticity is low, the reason is that the stage of economic development. Price elasticity is higher lies in the different between Canada and the United States, the United States is a net importer of natural gas, and Canada is a net exporter. Keywords: Consumption Flexibility; Natural Gas Demand; income; price

scholarly journals Demand for Storage and Import of Natural Gas in China until 2060: Simulation with a Dynamic Model

2021 ◽  
Vol 13 (15) ◽  
pp. 8674
Author(s):  
Zhihua Chen ◽  
Hui Wang ◽  
Tongxia Li ◽  
Ieongcheng Si
Keyword(s):  
Natural Gas ◽  
Carbon Price ◽  
Gas Storage ◽  
Import Demand ◽  
Energy Structure ◽  
Peak Time ◽  
Carbon Neutrality ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Gas Market

China has been reforming its domestic natural gas market in recent years, while construction of storage systems is lagging behind. As natural gas accounts for an increasing proportion due to the goal of carbon neutrality, large-scale gas storage appears to be necessary to satisfy the needs for gas peak shaving and national strategic security. Additionally, the domestic gas production in China cannot meet consumption demands, and imports will play a significant role on the supply side. This paper developed a system dynamics (SD) model and applied it to simulate gas market behaviors and estimated China’s gas storage capabilities and import demands over the next 40 years. To achieve carbon neutrality, it is necessary for China to make great progress in its energy intensity and improve its energy structure, which have a great impact on natural gas consumption. Thus, alternative scenarios were defined to discuss the changes in the gas market with different gas storage goals and environmental constraints. The results show that under low and medium carbon price scenarios, natural gas demand will continue to grow in the next 40 years, but it will be difficult to achieve the goal of carbon neutrality. Under the high carbon price scenario, natural gas consumption will grow rapidly and reach a peak in approximately 2040, after which renewable energy will play a more important role to help achieve carbon neutrality. At the peak time, China’s gas storage demand will be 205.5 billion cubic meters (bcm) and import demand will reach 635.4 bcm, accounting for 72.8% of total consumption. We also identified the contradiction between the estimated storage capability, import demand and infrastructure planning. There will be a gap of 28.1–69.3 bcm between the planned storage capacity and simulated demand by 2030, while import facilities may partly strand assets. Finally, we provided some policy recommendations for constructing gas storage and import management and operation systems.

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