scholarly journals Linear and nonlinear causal relationship between energy consumption and economic growth in China: New evidence based on wavelet analysis

PLoS ONE ◽  
2018 ◽  
Vol 13 (5) ◽  
pp. e0197785 ◽  
Author(s):  
Junsheng Ha ◽  
Pei-Pei Tan ◽  
Kim-Leng Goh
Author(s):  
Rabnawaz Khan ◽  
YuSheng Kong

Results of rapid economic growth, China, USA, and India have become the largest energy stealer and the greatest emitter of CO2 in the world and burn over 45% of global fuels in 2016. Meanwhile, the developing strategies of 24 polluted countries to decrease the energy consumption without additional economic output. This paper is exploring the effect of world top polluted countries C02 emission and their GDP and the production of electricity by energy indicators. The GLM model is not predict logistic and probit analysis directly; instead, it is mainly used for instinct to response of CO2 emission, using data for the period 1968-2017. The huge production of electricity will cause of abnormal CO2; this study offers true indication of exploring consumption of energy issues from the perspective of Granger casual and a positive unidirectional causality is detected between energy consumption to economic growth, while short-run bidirectional casualty exists among energy indicators.


2021 ◽  
Vol 7 ◽  
pp. 1520-1528
Author(s):  
Cosimo Magazzino ◽  
Mihai Mutascu ◽  
Marco Mele ◽  
Samuel Asumadu Sarkodie

2021 ◽  
Vol 13 (13) ◽  
pp. 7328
Author(s):  
Saeed Solaymani

Iran, endowed with abundant renewable and non-renewable energy resources, particularly non-renewable resources, faces challenges such as air pollution, climate change and energy security. As a leading exporter and consumer of fossil fuels, it is also attempting to use renewable energy as part of its energy mix toward energy security and sustainability. Due to its favorable geographic characteristics, Iran has diverse and accessible renewable sources, which provide appropriate substitutes to reduce dependence on fossil fuels. Therefore, this study aims to examine trends in energy demand, policies and development of renewable energies and the causal relationship between renewable and non-renewable energies and economic growth using two methodologies. This study first reviews the current state of energy and energy policies and then employs Granger causality analysis to test the relationships between the variables considered. Results showed that renewable energy technologies currently do not have a significant and adequate role in the energy supply of Iran. To encourage the use of renewable energy, especially in electricity production, fuel diversification policies and development program goals were introduced in the late 2000s and early 2010s. Diversifying energy resources is a key pillar of Iran’s new plan. In addition to solar and hydropower, biomass from the municipal waste from large cities and other agricultural products, including fruits, can be used to generate energy and renewable sources. While present policies indicate the incorporation of sustainable energy sources, further efforts are needed to offset the use of fossil fuels. Moreover, the study predicts that with the production capacity of agricultural products in 2018, approximately 4.8 billion liters of bioethanol can be obtained from crop residues and about 526 thousand tons of biodiesel from oilseeds annually. Granger’s causality analysis also shows that there is a unidirectional causal relationship between economic growth to renewable and non-renewable energy use. Labor force and gross fixed capital formation cause renewable energy consumption, and nonrenewable energy consumption causes renewable energy consumption.


2017 ◽  
Vol 63 ◽  
pp. 199-212 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Thi Hong Van Hoang ◽  
Mantu Kumar Mahalik ◽  
David Roubaud

2021 ◽  
Vol 9 (1) ◽  
pp. 139-164
Author(s):  
Saddam Hussain ◽  
Chunjiao Yu

This paper explores the causal relationship between energy consumption and economic growth in Pakistan, applying techniques of co-integration and Hsiao’s version of Granger causality, using time series data over the period 1965-2019. Time series data of macroeconomic determi-nants – i.e. energy growth, Foreign Direct Investment (FDI) growth and population growth shows a positive correlation with economic growth while there is no correlation founded be-tween economic growth and inflation rate or Consumer Price Index (CPI). The general conclu-sion of empirical results is that economic growth causes energy consumption.


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