scholarly journals Analysis on the Influence of China’s Energy Consumption on Economic Growth

2019 ◽  
Vol 11 (14) ◽  
pp. 3982 ◽  
Author(s):  
Maolin Cheng ◽  
Bin Liu

Many studies have shown that energy consumption has a great influence on economic growth. This paper divides China’s energy into coal, oil, natural gas and clean energy (hydroenergy, nuclear energy, wind energy and solar energy), and then studies the influences of China’s coal, oil, natural gas and clean energy on economic growth quantitatively using econometric models. This paper uses three methods. The first method is correlative degree analysis. The paper calculates the correlative degrees between four energy consumption and economic growth (GDP), and then compares the influences of four different kinds of energy consumption on economic growth in terms of the correlative degree. The second method is multiplier analysis. The paper uses the lagged variable regression model to calculate four energy consumption’s current multipliers, dynamic multipliers and long-term multipliers for economic growth, and then compares the influences of four kinds of energy consumption on economic growth in terms of marginal effect. The third method is contribution rate analysis. The paper calculates the rates of contribution of four kinds of energy consumption to economic growth and then compares the influences of four energy consumption on economic growth in terms of input and output. The paper makes an empirical analysis on influences of China’s energy consumption on economic growth. Analysis results show that in terms of correlative degree, natural gas has the greatest influence on GDP, followed by clean energy, oil and coal; in terms of the multiplier effect, natural gas has the biggest current multiplier and long-term multiplier, followed by clean energy, oil and coal; in terms of contribution rate, clean energy has the biggest contribution rate, followed by natural gas, oil and coal. Overall, China’s natural gas consumption and clean energy consumption have more influence on economic growth than coal consumption and oil consumption, and show a rising trend.

2020 ◽  
Author(s):  
Suleyman Yurtkuran

Abstract This study aims to investigate the dynamic relationship between income, clean energy consumption, exports, imports, urbanization and ecological footprint for Turkey from 1973 to 2015 using the environmental Kuznets curve hypothesis. The long-term coefficients derived from the ARDL approach demonstrate that import increase the ecological footprint, whereas urbanization and clean energy consumption do not have an impact on environmental pollution in the long-term. In addition, the 2001 dummy variable is negative and statistically significant. The crisis in 2001 slowed down the economic growth rate. This situation also caused reduction of environmental pollution. Moreover, the long run estimates indicate that the EKC hypothesis is valid in Turkey. However, the turning point of per capita income was calculated as $16,045 that outside of the analyzed period. As economic activities increase, human pressure on nature continues to increase. Consequently, the only factor that reduces the ecological footprint has been determined as exports. In contrast, economic growth and clean energy consumption cannot be used as a tool to reduce the ecological footprint. Turkey needs a higher level of per capita income than the threshold level to improve environmental quality.


Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3763
Author(s):  
Pablo Ponce ◽  
José Álvarez-García ◽  
Johanna Medina ◽  
María de la Cruz del Río-Rama

The consumption of renewable energy has become a substitute for fossil fuels to mitigate environmental degradation. However, this substitution of energy raises many questions regarding its possible impact on economic growth. In this context, this research aims to examine the long-term relationship between economic growth and financial development, non-renewable energy, renewable energy, and human capital in 16 Latin American countries. Panel data techniques during the period 1988–2018 and statistical information compiled by the World Bank and Penn Word Table databases were used. Second-generation econometric techniques (cross-sectionally augmented Dickey–Fuller (CADF) and cross-sectionally augmented IPS (CIPS) were used in the work methodology, which allow the presence of cross-sectional dependence between sections to be controlled. The main results indicate that there is a long-term equilibrium relationship between financial development, non-renewable energy consumption, renewable energy consumption, human capital, and economic growth. The results show that the consumption of renewable energy does not compromise economic growth; the 1% increase in renewable energy consumption is related to the 1% increase in economic growth. The policy implications suggest some measures to ensure economic growth considering the role of green energy and human capital.


2022 ◽  
Author(s):  
Arshad Ali ◽  
Magdalena Radulescu ◽  
Daniel Balsalobre Lorente ◽  
Viet-Ngu (Vincent) Hoang

Abstract This study empirically estimates the impact of clean and non-clean energy consumption on economic growth and carbon dioxide emissions within the framework of the environmental Kuznets curve and pollution haven hypothesis in the case of PIMC countries from 1980 to 2019. The results of the panel cointegration test proposed by Westerlund (2007) show a long-term equilibrium relationship among the variables of each designated model. The long-term elasticities of economic growth and carbon emission estimated by AMG, CCEMG and MG estimators indicate that both clean and non-clean energy consumption have a significant impact on economic growth, while carbon emission hinders growth. The results also reveal that economic growth, non-clean energy consumption and interaction between trade openness and non-clean energy consumption have a driving effect on carbon dioxide emission, however, clean energy consumption is found to reduce carbon emission. In addition, the analysis confirms the existence of the inverted U-shaped environmental Kuznets curve and pollution haven hypothesis in the panel of PIMC economies. Finally, there is a one-way causality from non-clean energy consumption to economic growth, but no such causation exists between clean energy consumption and economic growth. The objective of sustained economic growth with a safe environment may be achieved by encouraging clean energy consumption in the PIMC economies.


2019 ◽  
Vol 9 (3) ◽  
pp. 322-328
Author(s):  
F. Ali ◽  
Kh. A. Khan ◽  
A. Raza

Energy is substantial for economic development. This study aims to unveil the causal relationship and long-term association between economic growth and energy consumption in Pakistan. The Granger-Causality test finds that; natural gas consumption, electricity consumption and coal consumption have uni-directional causal relationship with economic growth as (GC, EC and CC→GDP), however, GDP growth rate, natural gas consumption and coal consumption unilaterally Granger causes Inflation (GDP, GC and CC→CPI) and lastly coal consumption→natural gas consumption (GC), Electricity consumption (EC)→GC. The ARDL estimations delineate natural gas consumption and oil consumption having a positive and negative association with GDP growth rate may have significant long term impacts respectively on the the economic growth of Pakistan.


2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Xiaohua Zou

As a kind of scarce natural capital, energy makes more and more obvious constraint effects on economic growth. And energy consumption is the major source of greenhouse gas emissions. This brings about the problems of the relationships among energy consumption, carbon emissions, and economic growth, which is worthy of long-term attention. This paper attempted to explore the interactive relations among American oil prices, carbon emissions, and GDP through the data analysis from 1983 to 2013. This paper adopted time series vector error correction model (VECM) approach to conduct stationarity test, cointegration test, stability test, and Granger causality test. The results indicated that, no matter in the short term or long term, oil price fluctuation is the reason why carbon emissions change, while the GDP fluctuation is not the reason for the growth of carbon emissions. The oil price impacts will have a great influence on GDP and carbon emissions in the short term, but, the in long term, the influence will tend to be gentle.


2013 ◽  
Vol 448-453 ◽  
pp. 4319-4324
Author(s):  
Sheng Wang ◽  
Chun Yan Dai ◽  
En Chuang Wang ◽  
Chun Yan Li

Analyzed the dynamic interaction characteristics of Chongqing Economic growth and energy consumption between 1980-2011 based on vector auto regression model, impulse response function. The results showed that: 1 Between the Chongqing's economic growth and energy consumption exist the positive long-term stable equilibrium relationship, Chongqing's economic development depending on energy consumption is too high, to keep the economy in Chongqing's rapid economic development, energy relatively insufficient supply sustainable development must rely on the energy market, which will restrict the development of Chongqing's economy. 2At this stage, Chongqing continuing emphasis on optimizing the industrial structure to improve energy efficiency at the same time, the key is to establish and improve the energy consumption intensity and total energy demand "dual control" under the security system, weakening the energy bottleneck effect on economic growth.


2019 ◽  
Vol 4 (02) ◽  
pp. 113
Author(s):  
Melati Intan Kurnia ◽  
Hadi Sasana ◽  
Yustirania Septiani

<p><em>Increasing economic growth will spark against increased energy consumption. But on the other hand, increasing economic growth will also trigger the occurrence of natural damage and degradation of environmental quality derived from CO2 emissions. CO2 emissions are caused by oxidation process of fossil fuel energy. This research aims to know the causality relationship between CO2 emissions, fossil fuel consumption, electricity consumption, and economic growth in Indonesia, as well as long-term relationship between CO2 emissions, fossil fuel consumption, electricity consumption, to economic growth in Indonesia in 1990 – 2019. The used data is the secondary data that is in the form of data time series. The dependent variables of this study are economic growth, while independent variables are CO2 emissions, fossil fuel consumption, electricity consumption. The method that is used in this study is Vector Error Correction Model. The results showed that there was a one-way causality between economic growth and fossil fuel consumption, and between electricity consumption and CO2 emissions. The research also shows that on long-term CO2 emissions has a negative influence, while the consumption of fossil fuels and electricity has a positive effect on Indonesia's economic growth in 1990-2019.</em></p><p><strong><em>K</em></strong><strong><em>eywords</em></strong><em>: CO2, Energy Consumption, Economic Growth.</em></p>


2020 ◽  
Vol 12 (19) ◽  
pp. 7965
Author(s):  
Oluyomi A. Osobajo ◽  
Afolabi Otitoju ◽  
Martha Ajibola Otitoju ◽  
Adekunle Oke

This study explored the effect of energy consumption and economic growth on CO2 emissions. The relationship between energy consumption, economic growth and CO2 emissions was assessed using regression analysis (the pooled OLS regression and fixed effects methods), Granger causality and panel cointegration tests. Data from 70 countries between 1994–2013 were analysed. The result of the Granger causality tests revealed that the study variables (population, capital stock and economic growth) have a bi-directional causal relationship with CO2 emissions, while energy consumption has a uni-directional relationship. Likewise, the outcome of the cointegration tests established that a long-run relationship exists among the study variables (energy consumption and economic growth) with CO2 emissions. However, the pooled OLS and fixed methods both showed that energy consumption and economic growth have a significant positive impact on CO2 emissions. Hence, this study supports the need for a global transition to a low carbon economy primarily through climate finance, which refers to local, national, or transnational financing, that may be drawn from public, private and alternative sources of financing. This will help foster large-scale investments in clean energy, that are required to significantly reduce CO2 emissions.


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