scholarly journals Causality between Energy Consumption and Economic Growth in the Presence of Growth Volatility: Multi-Country Evidence

2021 ◽  
Vol 14 (10) ◽  
pp. 471
Author(s):  
Gulasekaran Rajaguru ◽  
Safdar Ullah Khan
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Energy Intensity ◽  
Income Growth ◽  
Efficient Production ◽  
Negative Effects ◽  
Energy Growth ◽  
Real Gdp Per Capita ◽  
Per Capita ◽  
Growth Volatility

Falling energy intensity (increasing efficiency) is believed to be a result of more efficient production methods that have evolved over time, indicating overall sustainability in the production process. The objective of this study is to investigate the diminishing trend of energy intensity and the related volatilities in growth of energy consumption and income growth through the energy–growth nexus. The country specific long-run and short-run causal relationships among real energy consumption per capita, real GDP per capita, and the volatilities of growth in income and the growth in energy consumption are established using the method proposed by Yamamoto–Kurozumi within a cointegration framework in 48 countries. The overall findings suggest that energy intensity is falling, in conjunction with the existing evidence on the energy–growth nexus in most of the countries studied; hence, implicitly this confirms sustainability. The results based on volatility analysis show a significant decrease in energy use in response to increasing income growth volatility. The negative effects of income growth volatility on energy consumption are usually countered through compensation measures, with subsidies provided to households and producers in order to smooth the energy consumption behaviours in those economies.

Impact of urbanization on per capita energy use and emissions in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stuti Haldar ◽  
Gautam Sharma
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Population Density ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Energy Use ◽  
Energy Intensity ◽  
Series Data ◽  
Content Type ◽  
Per Capita

Purpose The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India. Design/methodology/approach The present study analyses the effects of urbanization on energy consumption patterns by using the Stochastic Impacts by Regression on Population, Affluence and Technology in India. Time series data from the period of 1960 to 2015 has been considered for the analysis. Variables including Population, GDP per capita, Energy intensity, share of industry in GDP, share of Services in GDP, total energy use and urbanization from World Bank data sources have been used for investigating the relationship between urbanization, affluence and energy use. Findings Energy demand is positively related to affluence (economic growth). Further the results of the analysis also suggest that, as urbanization, GDP and population are bound to increase in the future, consequently resulting in increased carbon dioxide emissions caused by increased energy demand and consumption. Thus, reducing the energy intensity is key to energy security and lower carbon dioxide emissions for India. Research limitations/implications The study will have important policy implications for India’s energy sector transition toward non- conventional, clean energy sources in the wake of growing share of its population residing in urban spaces. Originality/value There are limited number of studies considering the impacts of population density on per capita energy use. So this study also contributes methodologically by establishing per capita energy use as a function of population density and technology (i.e. growth rates of industrial and service sector).

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.

The impact of urbanization on energy consumption and efficiency

2017 ◽  
Vol 28 (7) ◽  
pp. 673-686 ◽  
Author(s):  
Pengfei Sheng ◽  
Yaping He ◽  
Xiaohui Guo
Keyword(s):  
Energy Consumption ◽  
Method Of Moments ◽  
Energy Use ◽  
Generalized Method Of Moments ◽  
Method Of Moments Estimation ◽  
Process Of Urbanization ◽  
Per Capita ◽  
Using Data ◽  
Impact Of Urbanization ◽  
The Impact

There is no consensus about the impact of urbanization on energy efficiency. We seek to fill this gap in literature using data from 78 countries for the period of 1995 through 2012. Extending the Stochastic Impacts by Regression on Population, Affluence, and Technology model, we identify the impact of urbanization on energy consumption and efficiency. Results of generalized method of moments estimation indicate that the process of urbanization leads to substantial increases in both the actual and the optimal energy consumption, but a decrease in efficiency of energy use. In addition, we find that the extent to which energy inefficiency correlates with urbanization is greater in countries with higher gross domestic product per capita.

scholarly journals The Energy Intensity of Economic Sectors in Mint Countries: Implications for Sustainable Development

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Chibueze, E. Nnaji ◽  
Nnaji Moses ◽  
Jonathan N. Chimah ◽  
Monica C. Maduekwe
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Energy Use ◽  
Energy Intensity ◽  
Decomposition Analysis ◽  
Output Growth ◽  
Policy Framework ◽  
Economic Sectors ◽  
Activity Effect ◽  
Industrial Sectors

<div><p><em>This paper analysed the status of energy intensity of economic sectors (agriculture, industry, commercial, residential) in MINT (Mexico, Indonesia, Nigeria, Turkey) countries and its implications for sustainable development. We utilised descriptive statistics as well as the Logarithmic Mean Divisia Index (LMDI) decomposition analysis to examine energy and efficiency trends, from 1980-2013, in MINT countries. Empirical results indicate inefficient energy use in the residential and industrial sectors of Nigeria and Indonesia. The analysis  also indicates that income/output growth (activity effect) contributed to an increase in sectoral energy consumption of MINT countries. It also revealed that while structural effects contributed to a reduction in energy consumption in virtually all the sectors in Turkey and Mexico, it contributed to an increase in energy consumption of the residential, industrial and commercial sectors of Indonesia and Nigeria in virtually all the periods. These results suggest that a policy framework that emphasizes the utilization of energy efficient technologies especially electricity infrastructural development aimed at energy service availability, accessibility and affordability will help to trigger desirable economic development and ensure rapid sustainable development of MINT economies.</em></p></div>

Exploration of the Development of Schemes to Achieve a District-Aggregate Energy-Intensity Goal - Taking the 12th Five-Year Period Energy Intensity Goal of Daxing District, Beijing as a Study Case

2014 ◽  
Vol 962-965 ◽  
pp. 1455-1460
Author(s):  
Xiang Qian Li ◽  
Li Juan Yang ◽  
Ling Ling Chen
Keyword(s):  
Energy Consumption ◽  
Gross Domestic Product ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Energy Losses ◽  
Residential Energy ◽  
Initial Value ◽  
Study Case ◽  
Per Capita

The paper explored how to develop schemes to achieve a district’s energy consumption per gross domestic product (ECPGDP) target. It first analysed the available measures regarding the reduction of ECPGDP. These measures include optimising the industrial structure, reducing the energy intensity of different industries, reducing the per capita residential energy consumption, and reducing the energy losses. Next, the procedure and methods of developing schemes to achieve the target ECPGDP were proposed. The procedure contains five steps: determine the target ECPGDP, predicting the initial value of the ECPGDP, analysing the availability of different measures of reducing the ECPGDP, forming the schemes of achieving the target, and summarising the proposed schemes. Finally, the paper considered the 12th Five-Year period ECPGDP target of Daxing District, Beijing as a study case. In the case study, four quantitative schemes to achieve the target ECPGDP were considered.

Are Shocks to Energy Consumption per capita in Turkey Permanent or Temporary?

2017 ◽  
pp. 248-259
Author(s):  
Yaşar Serhat Yaşgül ◽  
Burak Güriş ◽  
Burcu Yavuz Tiftikçigil
Keyword(s):  
Growth Rate ◽  
Energy Consumption ◽  
Energy Use ◽  
Primary Energy ◽  
Energy Sector ◽  
National Strategy ◽  
Energy Policies ◽  
Average Growth Rate ◽  
Average Growth ◽  
Per Capita

Turkey achieved an average growth rate of five percent during 2003-2013. In the same period, annual average growth rate was four percent in primary energy consumption. This indicates the significance of energy consumption for economic growth. In this context, the energy sector is one of the most important areas in Turkey's national strategy documents. Geostrategic position of Turkey in terms of energy resources affects Turkey's energy policies and strategies. In this framework, the main purpose of the study is to analyze empirically the effects of shocks in the energy sector. In this context, the permanent or temporary effects of shocks on energy use were investigated for the period 1960-2012. According to the test results, shocks had permanent effects on the energy consumption in Turkey. Permanent effects of shocks on the energy use indicate the importance of strategic energy policies for Turkey.

Energy consumption and economic development in Guangdong, China: Distribution, relationship and causes

2021 ◽  
Author(s):  
Mengmeng Hu ◽  
Yafei Wang ◽  
Beicheng Xia ◽  
Guohe Huang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Energy Intensity ◽  
Hot Spot ◽  
Generalized Method Of Moments ◽  
Gdp Per Capita ◽  
Per Capita ◽  
The Pearl River ◽  
Panel Vector Autoregression

Abstract Analysing the relationship between energy consumption and economic growth is essential to achieve the goal of sustainable development. We employ hot spot analysis to discover the spatial agglomeration of GDP per capita and energy intensity in Guangdong, China, from 2005–2018. Furthermore, panel vector autoregression coupled with a system generalized method of moments is performed to examine the dynamic causal relationship between energy consumption and economic growth under the framework of the Cobb-Douglas production function. Using a multivariate model and grouped studies based on the differences in regional economic development, we show that the GDP per capita of the Pearl River Delta (PRD) is significantly higher than that of the peripheral municipalities. However, energy intensity shows an entirely different spatial distribution. The development of the regional economy depends on its own “assembling effect”. GDP explains approximately 68.3% of the total variation in energy consumption in the PRD and only approximately 34.5% of that in the peripheral municipalities. We do not confirm Granger causality between energy consumption and economic development. Guangdong can decrease its energy consumption growth without substantially sacrificing its economic growth. The analysis framework of this paper has significant implications for regions in balancing economic development and energy consumption.

System Model of Long-Term Technical and Economic Development

2016 ◽  
Vol 4 (5) ◽  
pp. 18-35 ◽  
Author(s):  
Басовский ◽  
Leonid Basovskiy ◽  
Басовская ◽  
Elena Basovskaya
Keyword(s):  
Energy Intensity ◽  
Capital Intensity ◽  
Econometric Models ◽  
System Model ◽  
Gdp Per Capita ◽  
Real Gdp ◽  
Economic Paradigm ◽  
Real Gdp Per Capita ◽  
Per Capita

The results of the research of dissemination of technical and economic paradigms in developed economies are given. A system model of long-term technical and economic development is developed. The model assumes the simultaneous existence in the economy of several subsystems of different technical and economic paradigms. Each techno-economic paradigm is a new stage of development and different from the previous paradigm of higher productivity. Each subsequent industrial techno-economic paradigm provides higher productivity due to higher capital intensity and energy intensity of production. In the post-industrial techno-economic paradigms the higher performance is provided at a lower capital intensity and energy intensity of production due to a higher volume of information used. Beginning, transition to domination, the beginning of the withering away of each paradigm is accompanied by the formation of an upward half-wave of Kondratieff cycle. Econometric models of Kondratieff cycles and econometric models of real GDP per capita is obtained, provided technical and economic paradigms in developed countries. The fourth techno-economic paradigm provides the real per capita GDP value from 1929 to 3258 dollars Gehry-Hemis 1990. The fifth techno-economic paradigm provides a real GDP per capita value of 11,606 to 12,883 dollars Gehry-Hemis 1990. The sixth techno-economic paradigm provides a real GDP per capita value of 22 360 to 28 385 dollars Gehry-Hemis 1990.

District Energy-Saving Measures and their Selection Method

2013 ◽  
Vol 724-725 ◽  
pp. 951-954
Author(s):  
Xiang Qian Li
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Intensity ◽  
Influence Factors ◽  
Household Energy ◽  
Household Energy Consumption ◽  
District Energy ◽  
Per Capita ◽  
Value Determination ◽  
The Government

Per GDP energy consumption is the main indicator of district energy-saving effect. The Article firstly analyzed the influence factors of per GDP energy consumption. Then summarized energy-saving measures as six aspects: optimizing industrial structure; reducing energy intensity of industries; reducing per capita household energy consumption; limiting resident population; improving efficiency of energy conversion; improving energy storage and transportation management level. According to implementing body, energy-saving measures are divided into government measure and enterprise measure. District energy-saving measures mainly refer to the government measures. The selection course of district energy-saving measures is divided into five steps: initial prediction of per GDP energy consumption of term-end; analysis of measures of reducing industry energy intensity, per capita household energy consumption and energy loss; second prediction of per GDP energy consumption of term-end; compare with the target value; determination of district energy-saving measures.

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