Forecasting regional long-run energy demand: A functional coefficient panel approach

2021 ◽  
Vol 96 ◽  
pp. 105117
Author(s):  
Yoosoon Chang ◽  
Yongok Choi ◽  
Chang Sik Kim ◽  
J. Isaac Miller ◽  
Joon Y. Park
Keyword(s):  
Energy Demand ◽  
Long Run ◽  
Functional Coefficient

scholarly journals Saving energy in residential buildings: the role of energy pricing

2021 ◽  
Vol 167 (1-2) ◽  
Author(s):  
Jens Ewald ◽  
Thomas Sterner ◽  
Eoin Ó Broin ◽  
Érika Mata
Keyword(s):  
Energy Demand ◽  
Income Elasticity ◽  
Residential Buildings ◽  
Policy Framework ◽  
Energy Prices ◽  
Residential Energy ◽  
Residential Energy Demand ◽  
Long Run ◽  
Zero Carbon

AbstractA zero-carbon society requires dramatic change everywhere including in buildings, a large and politically sensitive sector. Technical possibilities exist but implementation is slow. Policies include many hard-to-evaluate regulations and may suffer from rebound mechanisms. We use dynamic econometric analysis of European macro data for the period 1990–2018 to systematically examine the importance of changes in energy prices and income on residential energy demand. We find a long-run price elasticity of −0.5. The total long-run income elasticity is around 0.9, but if we control for the increase in income that goes towards larger homes and other factors, the income elasticity is 0.2. These findings have practical implications for climate policy and the EU buildings and energy policy framework.

Does Technological Innovation Advance Environmental Sustainability in ASEAN Countries?

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Tabish Nawab ◽  
Muhammad Azhar Bhatti ◽  
Muhammad Atif Nawaz
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Environmental Sustainability ◽  
Energy Demand ◽  
Carbon Emission ◽  
Technology Innovation ◽  
Renewable Energy Consumption ◽  
Panel Ardl ◽  
Long Run ◽  
Environment Degradation

Environment degradation is a very important issue in developing nations and a lot of research had done to examine the factors of environmental degradation but these studies were missed some important factors which are covered by this study. By examining the effect of economic growth and energy in the presence of renewable energy consumption and technology innovation on environment degradation for ASEAN nations. Panel ARDL (which is PMG and MG) is used to estimate the model, and the advantage of this model is it gives both the long and short-run estimates of the model which helps to understand the situation in both short as well as long run. The results confirm that economic growth, Population, trade, and renewable energy increase the carbon emission level in ASEAN nations. While technology innovation decreased carbon emission levels which means technology innovation helps to keep the environment healthy and clean. Hence, economic growth helps the nations to improve their energy mode from non-renewable to renewable energy, which meets the energy demand by keeping the environment clean.

scholarly journals Impact of Crude Prices on Retail Prices – A Time Series Analysis

2019 ◽  
Vol 8 (2S7) ◽  
pp. 606-612
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Crude Oil ◽  
Energy Demand ◽  
Multivariate Time Series ◽  
Secondary Data ◽  
Series Analysis ◽  
Long Run ◽  
The Uk ◽  
The Impact

The UK has emerged as one of the largest producers of petroleum in the world. A significant amount of petroleum is used for fulfilling the energy demand within the country. However, the country witnessed a different trend from 2015. This is mainly due to the increase in imports of petroleum in order to meet domestic needs. To this, there is a need to identify the impact of changes exist in petrol and crude oil prices in the UK. In this context, the researcher has undertaken primary research to derive conclusions which are case specific and can comply with the research aim. The study used secondary data for the year 2015-2018 and conducted multivariate time series analysis. A series of tests including unit root, ARIMA, and co-integration tests were used to derive the results. The study found that there was an asymmetric relationship between the movements of prices of crude oil with respect to retail fuel prices in the long run. However, the study is not without limitations which are represented at the end of the study following with its future scope

scholarly journals ESTIMATING ATMOSPHERIC CARBON DIOXIDE EMISSIONS THRESHOLD FOR NIGERIA: A GUIDE FOR ENVIRONMENTAL POLICY

2018 ◽  
Vol 6 (9) ◽  
pp. 178-195
Author(s):  
Aliyu Alhaji Jibrilla
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Atmospheric Carbon Dioxide ◽  
Population Change ◽  
Distributed Lag ◽  
Long Run ◽  
Long Term Effect ◽  
Short Run ◽  
Pollution Emissions

This study empirically evaluates whether Green House Gases (GHGs) significantly increase with the rising population and urban growth in Nigeria. In addition, the study examine whether the energy demand also influences Nigerian contribution of global pollution emissions. The results of the Autoregressive Distributed Lag (ARDL) cointegration test indicated long-run and stable relationships among the variables. For affluence, we find evidence that, in the long run, domestic per capita income significantly increases carbon dioxide emissions and then falls after a certain extreme point, providing evidence of an inverted EKC hypothesis in Nigeria. The EKC finding was further supported by appropriate inverted U test. The results also demonstrated that both urbanisation and population change do not have a long term effect on emissions; although urbanisation seems to significantly raise emissions in the short-run.  Energy demand has been found to have a significantly positive elasticity effect on carbon dioxide emissions both in the long- and short-run. The short-run Granger causality results indicate that, all variables make a short-run adjustment to correct any deviation from the long-run equilibrium. In addition, analysis of the error correction models reveals that all of the variables contribute to their stable long-run relationship.

scholarly journals Examining the Role of Population Age Structure upon Residential Electricity Demand: A Case from Korea

2019 ◽  
Vol 11 (14) ◽  
pp. 3914 ◽  
Author(s):  
Jaehyeok Kim ◽  
Minwoo Jang ◽  
Donghyun Shin
Keyword(s):  
Age Structure ◽  
Energy Demand ◽  
Population Group ◽  
Strong Relationship ◽  
Electricity Demand ◽  
Advanced Economy ◽  
Population Age Structure ◽  
Long Run ◽  
Residential Electricity ◽  
The Impact

In this article, we empirically investigate the impact of the population age structure on electricity demand. Our study is motivated by suggestions from existing literature that demographic factors can play an important role in energy demand. Using Korean regional level panel data for 2000 to 2016, we estimate the long-run elasticities through employing cointegration regression and the short-run marginal effects by developing a panel error correction model. It is worth investigating the Korean case, since Korea is aging faster than any other advanced economy, and at the same time is one of the heaviest energy users in the world. To our knowledge, this is the first study analyzing how the population age structure affects residential electricity demand, based on regional data in Korea. Our analysis presents the following results. First, an increase in the youth population raises the residential electricity demand in the short- and long-run. Second, an increase in the population of people aged 65 and over also increases this electricity demand in the short- and long-run. Third, among the group of people aged 65 and over, we further investigate the impact of an older population group, aged 80 and over, but separately, on their residential electricity demand. However, in general there is no strong relationship in the short- and long-run.

Renewable and non-renewable energy consumption and economic growth in the US: A Markov-Switching VAR analysis

2020 ◽  
pp. 0958305X2094403
Author(s):  
Emrah Ismail Cevik ◽  
Durmuş Çağrı Yıldırım ◽  
Sel Dibooglu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Demand ◽  
Fossil Fuels ◽  
The United States ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Long Run ◽  
The Us

We examine the relationship between renewable and non-renewable energy consumption and economic growth in the United States. While the regime-dependent Granger causality test results for the non-renewable energy consumption and economic growth suggest bi-directional causality in both regimes, we cannot validate any causality between renewable energy consumption and economic growth. The US meets its energy demand from non-renewable sources; as such, renewable energy consumption does not seem to affect economic growth. Given the efficiency and productivity of renewable energy investments, we conclude that it is worthwhile to consider renewable energy inputs to replace fossil fuels given potential benefits in terms of global warming and climate change concerns. In this regard, increasing the R&D investments in the renewable energy sectors, increases in productivity and profitability of renewable energy investments are likely to accrue benefits in the long run.

Long-run elasticity of US energy demand

1980 ◽  
Vol 2 (1) ◽  
pp. 31-36 ◽  
Author(s):  
S.C. Parikh ◽  
M.H. Rothkopf
Keyword(s):  
Energy Demand ◽  
Long Run

scholarly journals The energy balance of maize production – alternative approaches

2018 ◽  
pp. 59-63
Author(s):  
Tibor Horváth ◽  
Anikó Nyéki ◽  
Miklós Neményi
Keyword(s):  
Energy Demand ◽  
Agricultural Land ◽  
Energy System ◽  
Maize Production ◽  
Production Sector ◽  
Know How ◽  
Long Run ◽  
Fertilizer Requirement ◽  
Alternative Approaches ◽  
Final Question

Agricultural production is a crucial area, perhaps the most important for humanity. This is the only area which cannot be avoided. Therefore, it is of utmost importance to know how sustainable the system is in the long run as regards energy consumption. We have chosen the maize production sector as the main focus of this study. This crop is especially important all over the world, therefore; it requires significant input also in terms of energy. Currently, the system of maize production (as with the others) operates as an open energy system. This study aims to examine how much of the agricultural land’s energy demand could be met with the help of the byproducts of 1 hectare of agricultural land - operating as a closed system, using only the remaining maize stalk and cob byproducts for energy - under the conditions of Hungarian maize production. Energy demand is largely determined by the land’s fertilizer requirement, followed by the input factor of the energy demand of the machinery during earthwork and transport. The study assumes that the energy from the byproducts of maize production will be used exclusively with biogas technology. This can even be implemented on a county level. The final question is whether the maize production system will be able to sustain itself solely by using its own byproducts.

scholarly journals Energy and economic growth in G20 countries: Panel cointegration analysis

2020 ◽  
Vol 9 (2) ◽  
pp. 56 ◽  
Author(s):  
Aynur Pala
Keyword(s):  
Economic Growth ◽  
Global Warming ◽  
Energy Consumption ◽  
Energy Demand ◽  
Panel Cointegration ◽  
Cointegration Analysis ◽  
Vector Error Correction ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Dynamic Ols

Rising economic performance has enlarged energy demand, carbon emissions and global warming. Policymakers need to avoid global warming. Therefore, energy-growth nexus is important. This paper empirically investigates the relationship between energy consumption and economic growth for a panel of G20 countries over the period 1990-2016. For this purpose, the paper considers the panel cointegration and panel vector error correction model. Panel cointegration test set out a long-run equilibrium relationship. Long-run relationship is estimated using a Fully Modified OLS (FMOLS) and Dynamic OLS (DOLS). The results show that causality run from energy consumption to GDP. It is indicates that “growth hypothesis” is valid for G20 countries.

scholarly journals The Effect of Scale, Technique, Composition and Trade Openness on Energy Demand: Fresh Evidence from Malaysia

2019 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Md. Mahmudul Alam ◽  
Gazi Salah Uddin ◽  
Loganathan Nanthakumar
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Structural Breaks ◽  
Negative Impact ◽  
Trade Openness ◽  
Growth Effect ◽  
Demand Model ◽  
Bounds Testing ◽  
Long Run ◽  
The Impact

The aim of this paper utilizes an energy demand model to investigate the impact of trade openness on energy consumption by incorporating scale and technique, composition and urbanization effects in the case of Malaysia. The study covers the sample period of 1970-2011 using quarter frequency data. We applied the bounds testing approach in the presence of structural breaks to examine the long run relationship between the variables. The VECM Granger causality is used to detect the direction of causality between the variables. Our findings indicate that growth effect (scale and technique effect) has a positive (negative) impact on energy consumption whereas composition effect stimulates energy demand in Malaysia.. Energy consumption is positively influenced by both from openness and urbanization. This study opens new policy insights for policy making authorities to articulate a comprehensive energy and trade policy to sustain economic growth and improve the environmental quality of Malaysia.

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