scholarly journals Analysis of Regional Water and Energy Consumption Considering Economic Development

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3582
Author(s):  
Jing Liu ◽  
Nimin Xie ◽  
Zhongbo Yu
Keyword(s):  
Energy Consumption ◽  
Resource Utilization ◽  
Energy Use ◽  
Water Footprint ◽  
Water Saving ◽  
Consumption Pattern ◽  
Regional Energy ◽  
Energy Footprint ◽  
Per Capita ◽  
Regional Water

The evaluation of regional water and energy consumption is of great significance to improving regional resource utilization. This paper analyzed the water and energy footprints in different provinces of China, considering regional economic levels. The results indicate: (1) both the largest water footprint and water footprint per capita were in Xinjiang and agriculture had the largest value; (2) Shandong was the largest energy consumer, Ningxia had the largest energy footprint per capita, and coal occupied the largest proportion for the top five energy footprint provinces; and (3) the resource input–output efficiencies in Beijing and Fujian were high, while water and energy consumption were low and gross regional product was high, compared with the average value of China. The situations in Xinjiang and Inner Mongolia were opposite. The change of consumption pattern for each inhabitant, the adoption of water-saving technology, and an increase to water-saving awareness would be helpful to decrease regional water consumption. An increase of regional energy use efficiency and a change to reduced energy consumption would contribute to the decreasing of regional energy consumption. More attention should be paid to renewable and clean Energies. In addition to solution from the local perspective, the virtual water trade and the energy product trade may relieve regional resource pressure in some extent, and the possible influencing should be considered at the same time. This paper could provide suggestions for regional resource utilization and sustainable development.

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.

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).

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.

Calculation and Analysis of Water Footprint in Shunyi District of Beijing

2013 ◽  
Vol 295-298 ◽  
pp. 964-969 ◽  
Author(s):  
Su Ling Liu ◽  
Yu Xin Wang ◽  
Xiao Hui Mao
Keyword(s):  
Water Resources ◽  
Water Resource ◽  
Carrying Capacity ◽  
Water Scarcity ◽  
Water Footprint ◽  
Virtual Water ◽  
Consumption Pattern ◽  
Water Resources Carrying Capacity ◽  
Per Capita

The water footprint and consumption pattern is an effective tool for quantitifying the volume of water resources consumption in certain region [ ].Shunyi’s water footprint in the period 2006-2010 is calculated in this article from the view of virtual water. The general water footprint in Shunyi District at the year 2010 reached 790 million m3 and water footprint per capita was 536.48 cubic meters. Shunyi 's water resource quantity per capita was 501.27 m3 in the same year and the Water Scarcity Index was 1.98. The result of calculation shows that the water resource volume of exploitation in Shunyi District of Beijing has been beyond the water resources carrying capacity.

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.

scholarly journals Reduction of CO2 Emissions Due to Energy Use in Crete-Greece

2016 ◽  
Vol 6 (1) ◽  
pp. 23 ◽  
Author(s):  
John Vourdoubas
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Fossil Fuels ◽  
Energy Use ◽  
Heating Oil ◽  
Per Capita ◽  
Reduction Of Co2 ◽  
Negative Growth

Use of fossil fuels in modern societies results in CO2 emissions which, together with other greenhouse gases in the atmosphere, increase environmental degradation and climate changes. Carbon dioxide emissions in a society are strongly related with energy consumption and economic growth, being influenced also from energy intensity, population growth, crude oil and CO2 prices as well as the composition of energy mix and the percentage of renewable energies in it.The last years in Greece, the severe economic crisis has affected all sectors of the economy, has reduced the available income of the citizens and has changed the consumers’ behavior including the consumption of energy in all the activities. Analysis of the available data in the region of Crete over the period 2007-2013 has shown a significant decrease of energy consumption and CO2 emissions due to energy use by 25.90% compared with the reduction of national G.D.P. per capita over the same period by 25.45% indicating the coupling of those emissions with the negative growth of the economy. Carbon dioxide emissions per capita in Crete in 2013 are estimated at 4.96 tons. Main contributors of those emissions in the same year were electricity generation from fuel and heating oil by 64.85%, heating sector by 3.23% and transportation by 31.92%.

scholarly journals Just Transitions, Poverty and Energy Consumption: Personal Carbon Accounts and Households in Poverty

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5953
Author(s):  
Martin Burgess ◽  
Mark Whitehead
Keyword(s):  
Energy Consumption ◽  
Low Income ◽  
Carbon Emissions ◽  
Energy Use ◽  
Environmental Cost ◽  
Household Energy ◽  
Household Energy Use ◽  
Per Capita ◽  
Database Average ◽  
Do So

Complex relations exist between issues of poverty, responsibility and just transitions toward reduced household energy use. One proposed transitional instrument is Personal Carbon Accounts (PCAs) which provide equal per capita carbon allowances and increase costs for additional usage. Previously modelled PCAs show that a third of households in poverty must curtail usage or pay more for some of their fuel, hitherto making PCAs ethically and politically untenable. Using the UK’s “Understanding Society” database, average per capita carbon allowances and—using occupancy data—the hypothetical allowance each household would receive within a PCA scheme are calculated. Occupancy levels, equivalised incomes and conversion of expenditure to carbon emissions permit analysis of households emitting more or less carbon compared to their allocation. We demonstrate that households emitting greater than average levels of CO2 do so mainly for lifestyle reasons, irrespective of income. Any calculation of legitimate social and environmental cost of CO2, even for households in poverty, must consider questions of choice and capacity to act. This suggests that even if certain low income, high emitting households are disadvantaged by the transition associated with personal carbon allowances this may still be a just transition.

Outlook of Indian Household Energy and Emission Profile

2013 ◽  
Vol 768 ◽  
pp. 265-271
Author(s):  
Satish Kumar Yawale
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Energy Use ◽  
High Energy ◽  
Consumption Pattern ◽  
Residential Energy ◽  
Demand And Supply ◽  
Household Energy ◽  
Life Style Changes ◽  
Energy Consumption Pattern

With rapid growth in economy, energy consumption in developing countries like India is increasing at a fast rate primarily due to increase in demand in energy intensive sectors. The adverse impacts on the environment due to high energy demand are also becoming evident. Energy consumption in household sector can be defined as the energy consumed in homes to meet the needs of the residents themselves. To understand the residential energy consumption pattern it is important to identify the drivers of energy use in developing India. The basic drivers are population growth, household size, fuel and technology, income level and life style changes. Energy and climate change related concern of the Indian economy include the growing gap between demand and supply of energy, and environmental externalities associated with energy use. In this paper the drivers of energy consumption and emission are identified and the Indian household energy consumption pattern is analyzed.

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.

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