scholarly journals An Empirical Analysis of the Relationship between Energy Consumption Structure and Environmental Pollution in Beijing

2020 ◽  
Vol 15 (6) ◽  
pp. 98
Author(s):  
Yan Shigang ◽  
Deng Xin ◽  
Li Lexuan
Keyword(s):  
Energy Consumption ◽  
Environmental Pollution ◽  
Socioeconomic Development ◽  
Empirical Support ◽  
Oil Consumption ◽  
Consumption Structure ◽  
Gas Consumption ◽  
Highly Correlated ◽  
Pollution Emissions ◽  
The Relationship

With the economic development and the increased energy consumption, challenges of environmental pollution control have been intensified in Beijing. To promote sustainable socioeconomic development, energy consumption restructure and the environment governance have become important issues of Beijing. Based on the grey correlation model, this paper analyzed the relationship between energy consumption structure and environmental pollution in Beijing. It is empirically shown that coal and oil consumption in Beijing’s energy consumption were highly correlated with environmental pollution, while natural gas consumption had the least impact on environmental pollution emissions. The findings of the study provided an empirical support to how to optimize the energy consumption structure and decrease the environment pollution.

Research on Energy Efficiency and Environmental Pollution in China: a Simultaneous Equations Approach

2011 ◽  
Vol 361-363 ◽  
pp. 974-977 ◽  
Author(s):  
Ying Nan Dong ◽  
Yu Duo Lu ◽  
Jiao Jiao Yu
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Economic Loss ◽  
Simultaneous Equations ◽  
Consumption Structure ◽  
The Relationship

This paper examined the relationship between the energy efficiency and the environmental pollution. By using the data of energy intensity and economic loss caused by environmental pollution (ELP) in China from 1989-2009, a simultaneous equations was developed. The result of two-stage OLS estimation suggested that the energy had exerted positive influences on the decreasing of the environmental pollutions. By enhancing the energy efficiency and adjusting the industrial structure and energy consumption structure, China is exploring a road for sustainable development in the energy conservation.

Analysis of the Relevancy between Energy Consumption and Environmental Pollution Based on Grey Theory

2012 ◽  
Vol 616-618 ◽  
pp. 1404-1408
Author(s):  
Si Xi Lu ◽  
Qing Zhong Zhou ◽  
Rong Fan
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Natural Gas ◽  
Environmental Pollution ◽  
Environmental Quality ◽  
Fuel Oil ◽  
Grey Theory ◽  
Consumption Structure ◽  
The Relationship

In order to analyze the relationship between energy consumption and environmental pollution, grey theory has been applied. By making use of the correlative statistic data, inherent grey relevancy between energy consumption and environmental pollution of China has been discussed as an example, and different impact degrees that various energies consumption have on environmental quality of China has been ascertained by calculating the grey relevancy degree. The results show that fuel oil, coal, coal oil, crude oil and gasoline are the energy varieties that have great impact on environmental quality, while natural gas has less impact on environmental quality. In the end, energy consumption development strategies that can improve environmental quality have been put forward to offer scientific gist for adjusting energy consumption structure, improving environmental quality and actualizing sustainable development between energy consumption and environment.

scholarly journals Study on the relationship between industrialization level, economic development and environmental pollution in China

2019 ◽  
Vol 7 (6) ◽  
pp. 01-06
Author(s):  
Junran Ma
Keyword(s):  
Economic Development ◽  
Environmental Pollution ◽  
Environmental Kuznets Curve ◽  
Added Value ◽  
Response Analysis ◽  
Kuznets Curve ◽  
Per Capita Gdp ◽  
Per Capita ◽  
Pollution Emissions ◽  
The Relationship

With the development of economy, environmental problems gradually outstanding in China. This article adopts the method of empirical study, have collected the data of China's industrial added value, per capita GDP and emissions of the three major pollutants from 2004 to 2015. The VAR model was established on the basis of the logarithm values of the three factors mentioned above, so as to conduct impulse- response analysis to discuss the relationship between industrialization level, economic development and environmental pollution. The conclusion is as follows: (1) At present, the increase of China's industrial added value can promote the decline of China's environmental pollution emissions to a certain extent; (2) China is now at the left of the turning point of the Environmental Kuznets Curve, and the increase of per capita GDP will aggravate environmental pollution.

scholarly journals Cointegration and Causality Analysis of Dynamic Linkage between Industrial Energy Consumption and Economic Growth in Pakistan

2019 ◽  
Vol 11 (17) ◽  
pp. 4546 ◽  
Author(s):  
Chandio ◽  
Rauf ◽  
Jiang ◽  
Ozturk ◽  
Ahmad
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Electricity Consumption ◽  
Industrial Sector ◽  
Oil Consumption ◽  
Industrial Oil ◽  
Long Run ◽  
Industrial Energy ◽  
Short Run ◽  
Gas Consumption

Energy consumption is a crucial factor to promote industrial sector contribution in an economy for its economic progression. Indeed, Pakistan is an emerging country, but recently adjoining with a very severe deficit of electricity sources. Hence, the industry value added growth leading to economic progression is also fronting inevitable challenges to promote the industry growth. The main objective of the study is to investigate the linkages between industrial sector oil, gas and electricity consumption, and renewable energy consumption with economic development in Pakistan. The findings display evidence of cointegration and a long-run relationship between the consumption of industrial energy and economic growth in Pakistan. The results showed that industrial electricity consumption and industrial gas consumption have a positive and statistically significant impact on economic growth both in the long run and the short run in Pakistan. Industrial oil consumption negatively impacts economic growth in the long run, but positively and statistically significantly impacts economic growth in the short run in Pakistan. Moreover, indications through the vector error correction model (VECM) model confirmed bi-directional relationships of industrial sector oil consumption and economic growth in Pakistan. Furthermore, the uni-directional nexus instituted between economic growth to industrial electricity consumption, industrial gas consumption to industrial electricity consumption, and industrial oil consumption to industrial electricity consumption. The findings uncovered solid interconnections among the studied variables and suggested that the Pakistani government should build a robust policy to diminish the oil, gas, and fossil fuels consumption for electricity production, as a replacement to depend on solar, hydro, wind, and biomass energy sources in Pakistan. Consequently, the government should promote more gas concentrated projects, as these will alleviate the contests of gas dearth and provide it to the industry at cheap prices with ease.

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 Forecast of Energy Consumption Based on FGM(1, 1) Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Haijun Chen ◽  
Yanzeng Tong ◽  
Lifeng Wu
Keyword(s):  
Growth Rate ◽  
Energy Consumption ◽  
Fuel Oil ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
Oil Consumption ◽  
Coal Consumption ◽  
Gasoline Consumption ◽  
Gas Consumption ◽  
Natural Gas Consumption

The normal supply of energy is related to the stable development of the economy and society. Forecasting energy consumption helps prepare for the normal supply of energy. In the study of energy consumption forecasting, different scholars have used different forecasting models. This paper uses five-year energy consumption data in the Beijing-Tianjin-Hebei region and uses the grey fractional FGM(1, 1) model to analyze the next six years. Then, the energy consumption of three places is predicted. The advantage of the grey score FGM(1, 1) model is that it can get more accurate prediction results based on a small amount of information. In this study, relatively outdated information affects the accuracy of prediction results. However, other prediction models have great limitations on data. Choosing the grey number fractional model for prediction research can get a more reasonable prediction result. We use the FGM(1, 1) model to make predictions and get the prediction results. In Beijing, the growth rate of natural gas consumption has slowed down and will be basically stable by 2023. The average annual deceleration of coal consumption is 32%. The average annual deceleration of coke consumption is 10%. Crude oil consumption decreased by 6.3% annually. Gasoline consumption is slowly increasing. The consumption of kerosene increased about 8% annually. Diesel consumption is slowly decreasing. Fuel oil consumption is reduced by 17% annually. The average annual growth rate of power consumption exceeds 6%. In Tianjin, the annual growth rate of natural gas consumption is about 5%. Coal consumption is reduced by about 8% every year. The average annual deceleration of coke consumption is 7%. Crude oil consumption decreased by 2.4% annually. Gasoline consumption is slowly decreasing. The consumption of kerosene has increased by about 20% annually. Diesel consumption is slowly decreasing. Fuel oil consumption is reduced by 20% annually. Electricity consumption is slowly increasing. In Hebei Province, the annual growth rate of natural gas consumption is about 15%. Annual coal consumption is reduced by about 3%. Coke consumption remained stable. Crude oil consumption is reduced by 3% annually. Gasoline consumption is slowly increasing, and kerosene consumption has increased by about 31% annually. Diesel consumption is reduced by about 3% annually. Fuel oil consumption remained stable. Electricity consumption is slowly increasing.

scholarly journals A Historical and Econometric Analysis of Energy Consumption and Industrial Output in Pakistan (1990-2019)

2021 ◽  
Vol 2 (2) ◽  
pp. 353-382
Author(s):  
Muhammad Umair ◽  
Muhammad Ramzan Sheikh ◽  
Kashif Saeed            
Keyword(s):  
Energy Consumption ◽  
Time Series Data ◽  
Trade Openness ◽  
Electricity Consumption ◽  
Series Data ◽  
Industrial Output ◽  
Oil Consumption ◽  
Industrial Growth ◽  
Long Run ◽  
Gas Consumption

This paper examines the nexus of disaggregated energy consumption and industrial output in Pakistan. The annual time series data over the period 1990-2019 has been taken for current research. ARDL technique has been employed for empirical analysis. The results show that oil consumption, electricity consumption and gas consumption are positively and significantly connected with the industrial output in long run. Similarly, trade openness, labour and capital also have the same association with the industrial output and have significant outcomes in the long run. The results of Granger causality show that there exists a unidirectional causality from electricity consumption to industrial output. The study concludes that oil, gas and electricity are contributing a large share in industrial growth so that it would be made an effort to install the plants relevant with these energy sources to meet the affordable demand in the industry sector.

scholarly journals Analysis of Energy Consumption and Electricity Alternative Potential in Northern Hebei Province

2019 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
Yonghua Wang ◽  
Yue Xu ◽  
Jia-Xin Zhang
Keyword(s):  
Energy Consumption ◽  
Hebei Province ◽  
Energy Structure ◽  
High Input ◽  
Development Mode ◽  
Consumption Structure ◽  
High Consumption ◽  
High Emission ◽  
Pollution Emissions ◽  
And Control

The long-established coal-based energy structure and the development mode characterized by high input, high consumption and high emission in northern Hebei can hardly sustain. Electricity alternative is an effective way to optimize the energy structure and control pollution emissions. The paper analyzes the current situation of energy consumption structure and electricity alternative in northern Hebei. It shows that despite of many problems, electricity alternative in northern Hebei enjoys a huge potential.

scholarly journals Spatial Effect of Industrial Energy Consumption Structure and Transportation on Haze Pollution in Beijing-Tianjin-Hebei Region

2020 ◽  
Vol 17 (15) ◽  
pp. 5610 ◽  
Author(s):  
Meicun Li ◽  
Chunmei Mao
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Correlation Analysis ◽  
Spatial Correlation ◽  
Spatial Effect ◽  
Consumption Structure ◽  
Haze Pollution ◽  
Industrial Energy ◽  
Highly Correlated ◽  
Industrial Energy Consumption

Haze pollution has a serious impact on China’s economic development and people’s livelihood. We used data on PM2.5 concentration, industrial energy consumption structure, economic development and transportation in Beijing-Tianjin-Hebei and surrounding cities from 2000 to 2017, and analyzed the spatial effect of industrial energy consumption structure and traffic factors on haze pollution by using spatial autoregressive model (SAR) and spatial error model (SEM). The results indicated that: (1) The global spatial correlation analysis showed that haze pollution had a significant positive spatial correlation, and the local spatial correlation analysis showed that the high-high clusters of PM2.5 were located in the south and middle of the region; (2) The change of industrial energy consumption structure was highly correlated with haze pollution, namely, the increase of industrial energy consumption led to the deterioration of environmental quality; (3) The change of economic development was highly correlated with haze pollution. There was no clear EKC relationship between haze pollution and economic development in Beijing-Tianjin-Hebei region and surrounding cities. However, the relationship was similar to inverted U-shaped curve; (4) The change of traffic jam was highly correlated with haze pollution, namely, the increase of fuel consumption per unit road area led to the deterioration of environmental quality. Based on the above results, from the perspective of space, the long-term measures for haze control in Beijing-Tianjin-Hebei and surrounding cities can be explored from the aspects of energy conservation and emission reduction, industrial transfer, vehicle emission control, traffic restrictions and purchase restrictions.

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