A new approach to energy consumption per capita stationarity: Evidence from OECD countries

2016 ◽  
Vol 65 ◽  
pp. 332-344 ◽  
Author(s):  
Burcu Ozcan ◽  
Ilhan Ozturk
Keyword(s):  
Energy Consumption ◽  
Oecd Countries ◽  
New Approach ◽  
Per Capita

The Quantification of Structural Reforms in OECD Countries

2018 ◽  
Author(s):  
Balázs Égert ◽  
Peter Gal
Keyword(s):  
Product Market ◽  
Physical Capital ◽  
Oecd Countries ◽  
Market Regulation ◽  
Structural Reforms ◽  
Long Term Effects ◽  
Per Capita ◽  
Product Market Regulation ◽  
The Impact

This chapter describes and discusses a new supply-side framework that quantifies the impact of structural reforms on per capita income in OECD countries. It presents the overall macroeconomic impacts of reforms by aggregating over the effects on physical capital, employment, and productivity through a production function. On the basis of reforms defined as observed changes in policies, the chapter finds that product market regulation has the largest overall single policy impact five years after the reforms. But the combined impact of all labour market policies is considerably larger than that of product market regulation. The paper also shows that policy impacts can differ at different horizons. The overall long-term effects on GDP per capita of policies transiting through capital deepening can be considerably larger than the five- to ten-year impacts. By contrast, the long-term impact of policies coming only via the employment rate channel materializes at a shorter horizon.

Energy Consumption in Discrete Part Production

2011 ◽  
Author(s):  
Devi K. Kalla ◽  
Samantha Corcoran ◽  
Janet Twomey ◽  
Michael Overcash
Keyword(s):  
Energy Consumption ◽  
Life Cycles ◽  
Manufacturing Processes ◽  
New Approach ◽  
Energy Data ◽  
Important Improvement ◽  
Drilling Unit ◽  
Cradle To Gate ◽  
Discrete Part ◽  
Manufacturing Machine

It is widely recognized that industrial production inevitably results in an environmental impact. Energy consumption during production is responsible for a part of this impact, but is often not provided in cradle-to-gate life cycles. Transparent description of the transformation of materials, parts, and chemicals into products is described herein as a means to improve the environmental profile of products and manufacturing machine. This paper focuses on manufacturing energy and chemicals/materials required at the machine level and provides a methodology to quantify the energy consumed and mass loss for simple products in a manufacturing setting. That energy data are then used to validate the new approach proposed by (Overcash et.al, 2009a, and 2009b) for drilling unit processes. The approach uses manufacturing unit processes as the basis for evaluating environmental impacts at the manufacturing phase of a product’s life cycle. Examining manufacturing processes at the machine level creates an important improvement in transparency which aids review and improvement analyses.

scholarly journals Spatiotemporal Patterns and Influencing Mechanism of Urban Residential Energy Consumption in China

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3864
Author(s):  
Qiucheng Li ◽  
Jiang Hu ◽  
Bolin Yu
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Decomposition Analysis ◽  
Theil Index ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
Index Method ◽  
Inequality Measures ◽  
Influencing Mechanism ◽  
Per Capita

The residential sector has become the second largest energy consumer in China. Urban residential energy consumption (URE) in China is growing rapidly in the process of urbanization. This paper aims to reveal the spatiotemporal dynamic evolution and influencing mechanism of URE in China. The spatiotemporal heterogeneity of URE during 2007–2018 is explored through Kernel density estimation and inequality measures (i.e., Gini coefficient, Theil index, and mean logarithmic deviation). Then, with several advantages over traditional index decomposition analysis approaches, the Generalized Divisia Index Method (GDIM) decomposition is employed to investigate the impacts of eight driving factors on URE. Furthermore, the national and provincial decoupling relationships between URE and residential income increase are studied. It is found that different provinces’ URE present a significant agglomeration effect; the interprovincial inequality in URE increases and then decreases during the study period. The GDIM decomposition results indicate the income effect is the main positive factor driving URE. Besides, urban population, residential area, per capita energy use, and per unit area energy consumption positively influence URE. By contrast, per capita income, energy intensity, and residential density have negative effects on URE. There is evidence that only three decoupling states, i.e., weak decoupling, strong decoupling, and expansive negative decoupling, appear in China during 2007–2018. Specifically, weak decoupling is the dominant state among different regions. Finally, some suggestions are given to speed up the construction of energy-saving cities and promote the decoupling process of residential energy consumption in China. This paper fills some research gaps in urban residential energy research and is important for China’s policymakers.

A new approach to analyse conditional demand: An application to Australian energy consumption

2021 ◽  
Vol 93 ◽  
pp. 105037
Author(s):  
Saroja Selvanathan ◽  
E.A. Selvanathan ◽  
Maneka Jayasinghe
Keyword(s):  
Energy Consumption ◽  
New Approach

scholarly journals Assessment of the Dependence of GHG Emissions on the Support and Taxes in the EU Countries

2021 ◽  
Vol 13 (14) ◽  
pp. 7650
Author(s):  
Astrida Miceikienė ◽  
Kristina Gesevičienė ◽  
Daiva Rimkuvienė
Keyword(s):  
Energy Consumption ◽  
Empirical Study ◽  
Ghg Emissions ◽  
Gdp Per Capita ◽  
Environmental Taxes ◽  
Environmental Support ◽  
Eu Countries ◽  
Support Measures ◽  
Per Capita ◽  
The Eu

The reduction of GHG emissions is one of the priorities of the EU countries. The majority of studies show that financial support and environmental taxes are one of the most effective measures for the mitigation of the negative consequences of climate change. The EU countries employ different environmental support measures and environmental taxes to reduce GHG emissions. There is a shortage of new studies on these measures. The aim of the present study is to compare the effectiveness of the environmental support measures of the EU countries with the effectiveness of environmental taxes in relation to the reduction of GHG emissions. This study is characterized by the broad scope of its data analysis and its systematic approach to the EU’s environmental policy measures. An empirical study was performed for the EU countries with the aim of addressing this research problem and substantiating theoretical insights. A total of 27 EU member states from 2009 to 2018 were selected as research samples. The research is based on a cause-and-effect relationship, where the factors affecting environmental pollution (environmental taxes and subsidies) are the cause, and GHG emissions are the effect. Statistical research methods were used in the empirical study: descriptive statistics, the Shapiro–Wilk test, one-way analysis of variance (ANOVA), simple regression and cluster analysis. The results show that the older member countries of the EU, which had directed the financial measures of environmental policy towards a reduction in energy consumption, managed to achieve a greater reduction in GHG emissions compared to the countries which had not applied those measures. The Central and Eastern European countries are characterized by lower environmental taxes and lower expenditure allocated to environmental protection. The countries with a higher GDP per capita have greater GHG emissions that the countries with lower GDP per capita. This is associated with greater consumption, waste, and energy consumption. The study conducted gives rise to a discussion regarding data sufficiency in the assessment and forecasting of GHG emissions and their environmental consequences.

Does educational progress impact energy consumption? A causality test for India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumen Rej ◽  
Barnali Nag
Keyword(s):  
Energy Consumption ◽  
Energy Supply ◽  
Causality Test ◽  
Content Type ◽  
Vector Error Correction ◽  
Educational Advancement ◽  
Long Run ◽  
Short Run ◽  
Development Goals ◽  
Per Capita

Purpose Both energy and education have been positioned as priority objectives under the itinerary of UN development goals. Hence, it is necessary to address the implicit inter relationship between these two development goals in the context of developing nations such as India who are trying to grow in both per capita income and socio economic factors whilst struggling with the challenges of a severe energy supply constrained economy. Design/methodology/approach In the present study, the causal relationship between energy consumption per capita and education index (EI) as a proxy of educational advancement is investigated for India for 1990–2016 using the Johansen-Juselius cointegration test and vector error correction model. Findings The empirical results infer although energy consumption per capita and EI lack short run causality in either direction, existence of unidirectional long run causality from EI to per capita energy consumption is found for India. Further, it is observed that energy consumption per capita takes around four years to respond to unit shock in EI. Research limitations/implications The findings from this study imply that with the advancement of education, a rise in per capita energy consumption requirement can be foreseen on the demand side, and hence, India’s energy policy needs to emphasize further its sustainable energy supply goals to meet this additional demand coming from a population with better education facilities. Originality/value The authors hereby confirm that this manuscript is entirely their own original study and not submitted elsewhere.

The relationship between energy consumption and economic growth: New evidence from Greece

2021 ◽  
pp. 131-153
Author(s):  
Antonia Gkergki
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Gdp Per Capita ◽  
Short Term ◽  
Vector Error Correction ◽  
Per Capita ◽  
Econometric Tests ◽  
The Government ◽  
New Research ◽  
The Relationship

This paper examines the relationship between the energy consumption and economic growth from 1968 to 2019 in Greece, by employing the vector error-correction model estimation. A series of econometric tests are employed concerning the stationary of the data, and the co-integration and the relationship among the variables during the long- and short-term. The em-pirical results suggest that there is no bidirectional relationship between economic growth and energy consumption. More specifically, GDP per capita does not affect the energy consump-tion of the three primary sources either in the long-term or the short-term. In other words, the economic crisis and its implications for GDP do not affect energy consumption, and they are not responsible for the considerable decrease in energy sources' consumption. On the other hand, the energy consumption of oil and coal negatively affect the GDP per capita. These re-sults are different from previous studies' conclusions for Greece; this is because the never been experienced before. These findings raise new research questions and also show the limi-tations of the Greek market, as it is regulated and controlled by the government.

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