scholarly journals Forecasting Clean Energy Consumption in China by 2025: Using Improved Grey Model GM (1, N)

2020 ◽  
Vol 12 (2) ◽  
pp. 698 ◽  
Author(s):  
Maolin Cheng ◽  
Jiano Li ◽  
Yun Liu ◽  
Bin Liu
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Clean Energy ◽  
Equation Model ◽  
Grey Model ◽  
Population Increase ◽  
Factors Affecting ◽  
Comparison Results ◽  
Conventional Models ◽  
Improved Model

Forecasting China’s clean energy consumption has great significance for China in making sustainably economic development strategies. Because the main factors affecting China’s clean energy consumption are economic scale and population size, and there are three variables in total, this paper tries to simulate and forecast China’s clean energy consumption using the grey model GM (1, 3). However, the conventional grey GM (1, N) model has great simulation and forecasting errors, the main reason for which is the structural inconsistency between the grey differential equation for parameter estimation and the whitening equation for forecasting. In this case, this paper improves the conventional model and provides an improved model GM (1, N). The modeling results show that the improved grey model GM (1, N) built with the method proposed improves simulation and forecasting precision greatly compared with conventional models. To compare the model with other forecasting models, this paper builds a grey GM (1, 1) model, a regression model and a difference equation model. The comparison results show that the improved grey model GM (1, N) built with the method proposed shows simulation and forecasting precision superior to that of other models as a whole. In the final section, the paper forecasts China’s clean energy consumption from 2019 to 2025 using the improved grey model GM (1, N). The forecasting results show that, by 2025, China’s clean energy consumption shall reach the equivalent of 1.504976082 billion tons of standard coal. From 2019 to 2025, clean energy consumption shall increase by 11.32% annually on average, far above the economic growth rate, indicating China’s economic growth shall have a great demand for clean energy in the future. Studies have shown that China’s clean energy consumption shall increase rapidly with economic growth and population increase in the next few years.

scholarly journals Motivating factors affecting the individual energy consumption behavior

2021 ◽  
Vol 124 ◽  
pp. 08003
Author(s):  
Jalal ud Din Akbar ◽  
Muhammad Ridhuan Tony Lim Abdullah
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Human Behavior ◽  
Clean Energy ◽  
Daily Routine ◽  
Factors Affecting ◽  
Number Of Factors ◽  
Development Goals ◽  
The Government ◽  
The Individual

Global challenges of climate change and environmental deterioration helped in formulating seventeen sustainable development goals through United Nation. Achieving these sustainable goals, Malaysia initiated and track progress towards affordable and clean energy. The natural environment and climate are mostly influenced by human behavior. Due to the role of human behavior in climate change, a strong tendency towards the pursuit of energy sustainability exists. Attention is paid to strengthen the human behavior from general acts of doing things to carrying specific actions by adopting a responsible behavior into daily routine. A number of factors were identified through literature such as social structure, institution, and education for understanding the individual behavior for sustainability with regard to energy consumption. Many experts related to the field of energy were engaged to sort and prioritize these factors with respect to their importance by using multi-criteria decision making tool of analytical hierarchy process (AHP). The experts were selected from different sectors such as academia, NGOs and industry. With the help of experts, a framework of individual energy consumption behaviour is developed to allow the government and other stakeholders to make policies accordingly to achieve energy sustainable.

scholarly journals Testing the Environmental Kuznets Curve Hypothesis for Turkey: The Role of Clean Energy Consumption and Ecological Footprint

2020 ◽  
Author(s):  
Suleyman Yurtkuran
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Environmental Kuznets Curve ◽  
Ecological Footprint ◽  
Clean Energy ◽  
Kuznets Curve ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

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.

scholarly journals The Impact of Energy Consumption and Economic Growth on Carbon Dioxide Emissions

2020 ◽  
Vol 12 (19) ◽  
pp. 7965
Author(s):  
Oluyomi A. Osobajo ◽  
Afolabi Otitoju ◽  
Martha Ajibola Otitoju ◽  
Adekunle Oke
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Fixed Effects ◽  
Positive Impact ◽  
Clean Energy ◽  
Cointegration Tests ◽  
The Impact

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.

scholarly journals Energy–Growth Nexus in the MENA Region: A Dynamic Panel Threshold Estimation

2021 ◽  
Vol 13 (22) ◽  
pp. 12444
Author(s):  
Qusai Mohammad Qasim Alabed ◽  
Fathin Faizah Said ◽  
Zulkefly Abdul Karim ◽  
Mohd Azlan Shah Zaidi ◽  
Mohammed Daher Alshammary
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Threshold Model ◽  
Clean Energy ◽  
High Energy ◽  
Mena Region ◽  
Dynamic Panel ◽  
Energy Growth ◽  
The Relationship

This study provides new evidence regarding the nonlinear relationship between energy consumption and economic growth in the Middle East and North Africa (MENA) region for the 1990–2014 period. The empirical estimation is conducted using a dynamic panel threshold model. We found one threshold in the relationship between energy consumption and economic growth and one threshold in the relationship between carbon dioxide (CO2) emissions and economic growth. The results indicate that energy consumption positively and significantly affects economic growth in the low energy consumption regime. In contrast, it has a negative and significant impact on economic growth in the high energy consumption regime. Moreover, CO2 emissions are positively and significantly related to economic growth in the low regime of CO2 emissions. Nevertheless, the relationship between CO2 emissions and economic growth in the high CO2 emissions regime is negative and significant. Therefore, policymakers should implement other effective energy policies, such as stricter regulations on CO2 emissions, increase energy efficiency, and replace fossil fuels with cleaner energy sources to avoid unnecessary CO2 emissions and combat global warming. Future studies should identify the root causes of failures and issues in real time for inflation and link the energy–growth nexus to achieving the 2030 Sustainable Development Goals (SDGs) Agenda, Goal 7: Affordable and Clean Energy.

Carbon emissions, economic growth and trade: Empirical evidence from trading nations

2021 ◽  
Vol 20 (1) ◽  
pp. 61-78 ◽  
Author(s):  
Areej Aftab Siddiqui ◽  
Silky Vigg Kushwah
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Empirical Relationship ◽  
Clean Energy ◽  
Developed Countries ◽  
Incentive Structure ◽  
Newly Industrialized Countries ◽  
Country Level ◽  
Long Run

The article aims to develop an integrated relationship between carbon emissions, energy consumption, economic growth and trade for the top ten trading countries in the world for a period of nineteen years, 2000–2018. The results of panel data indicate a significant relationship between carbon emissions, energy consumption, economic growth and trade both in the short and long run. It is seen that a bidirectional causality between carbon emissions, trade and growth is present. Empirical results of the analysis in this article indicate that an increase in carbon emissions leads to an increase in the economic growth rate. The article also finds a positive relationship between carbon emissions and energy consumption. The findings also show that the emerging and newly industrialized countries place more emphasis on enhancing their trade positions, while developed countries tend to focus more on the overall economic growth than on trade. A major limitation of the study is that the data for energy consumption and carbon emissions is for the economy as a whole and not only for manufacturing. An incentive structure for reducing carbon emissions for the selected countries can be adopted along with the focus on adopting clean energy. The article’s findings add to the existing literature as comparatively few studies have been conducted with trade as an indicator and at the cross-country level for determining the empirical relationship between energy consumption, carbon emissions, growth and trade.

scholarly journals Impact of Clean Energy on CO2 Emissions and Economic Growth within the Phases of Renewables Diffusion in Selected European Countries

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 812
Author(s):  
Mariola Piłatowska ◽  
Andrzej Geise
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Clean Energy ◽  
Annual Data ◽  
Low Carbon ◽  
Renewable Energy Consumption ◽  
Two Phases ◽  
The Impact

This study explores the impact of clean energy and non-renewable energy consumption on CO2 emissions and economic growth within two phases (formative and expansion) of renewable energy diffusion for three selected countries (France, Spain, and Sweden). The vector autoregression (VAR) model is estimated on the basis of annual data disaggregated into quarterly data. The Granger causality results reveal distinctive differences in the causality patterns across countries and two phases of renewables diffusion. Clean energy consumption contributes to a decline of emissions more clearly in the expansion phase in France and Spain. However, this effect seems to be counteracted by the increases in emissions due to economic growth and non-renewable energy consumption. Therefore, clean energy consumption has not yet led to a decoupling of economic growth from emissions in France and Spain; in contrast, the findings for Sweden evidence such a decoupling due to the neutrality between economic growth and emissions. Generally, the findings show that despite the enormous growth of renewables and active mitigation policies, CO2 emissions have not substantially decreased in selected countries or globally. Focused and coordinated policy action, not only at the EU level but also globally, is urgently needed to overhaul existing fossil-fuel economies into low-carbon economies and ultimately meet the relevant climate targets.

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