• Title/Summary/Keyword: Energy economics

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Relationships between Urbanization, Economic Growth, Energy Consumption, and CO2 Emissions: Empirical Evidence from Indonesia

  • BASHIR, Abdul;SUSETYO, Didik;SUHEL, Suhel;AZWARDI, Azwardi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.79-90
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    • 2021
  • This study aims to investigate the relationship between urbanization, economic growth, energy consumption, and CO2 emissions in Indonesia. The data used in the study are time-series data for the period 1985-2017; the data utilized are sourced from World Development Indicators obtained on the World Bank database. The method uses a quantitative approach that applies the vector error correction model based on the Granger causality test. The empirical results reveal that, in the short run, there is evidence that urbanization and energy consumption can causes CO2 emissions, and they also prove that urbanization can cause energy consumption. Also, other findings prove the existence of long-run relationships flowing from energy consumption, economic growth, and CO2 emissions toward urbanization, as well as the existence of the relationship flowing from urbanization, economic growth, and CO2 emissions towards energy consumption. The results of testing the relationship between economic growth and CO2 emissions reveal that the environmental Kuznets curve hypothesis is proven in Indonesia. Thus, policies are needed to limit the impact of urbanization through high awareness-raising to maintain environmental quality and greater use of energy. Also, energy conservation policies are needed in all sectors, especially the electricity, industry, and transportation sectors.

An empirical investigation of nuclear energy consumption and carbon dioxide (CO2) emission in India: Bridging IPAT and EKC hypotheses

  • Danish, Danish;Ozcan, Burcu;Ulucak, Recep
    • Nuclear Engineering and Technology
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    • v.53 no.6
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    • pp.2056-2065
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    • 2021
  • The transition toward clean energy is an issue of great importance with growing debate in climate change mitigation. The complex nature of nuclear energy-CO2 emissions nexus makes it difficult to predict whether or not nuclear acts as a clean energy source. Hence, we examined the relationship between nuclear energy consumption and CO2 emissions in the context of the IPAT and Environmental Kuznets Curve (EKC) framework. Dynamic Auto-regressive Distributive Lag (DARDL), a newly modified econometric tool, is employed for estimation of long- and short-run dynamics by using yearly data spanning from 1971 to 2018. The empirical findings of the study revealed an instantaneous increase in nuclear energy reduces environmental pollution, which highlights that more nuclear energy power in the Indian energy system would be beneficial for climate change mitigation. The results further demonstrate that the overarching effect of population density in the IPAT equation stimulates carbon emissions. Finally, nuclear energy and population density contribute to form the EKC curve. To achieving a cleaner environment, results point out governmental policies toward the transition of nuclear energy that favours environmental sustainability.

The water-energy-food resources and environment: Evidence from selected SAARC countries

  • Mansoor, Abdul;Sultana, Baserat;Shafique, Saima;Zaman, Khalid
    • Advances in Energy Research
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    • v.6 no.1
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    • pp.1-15
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    • 2019
  • The objective of the study is to examine the relationship between water resources, energy demand, food production, and environmental pollutants in selected SAARC nations, namely, Bangladesh, India, Pakistan, and Sri Lanka, during the period of 1990-2016. The results show that water, energy, and food (WEF) resources substantially affected air quality in the form of high mass carbon emissions, fossil fuel energy demand, methane discharges, nitrous oxide emissions, and greenhouse gas emissions in these countries. Food production and food deficit largely increase $CO_2$ emissions due to unsustainable production and malnutrition, while land use under cereal production increases $CH_4$ and $N_2O$ emissions. Electricity production escalates $CO_2$ emissions and fossil emissions across countries. The results support the carbon EKC hypothesis, while monotonic increasing function exists in case of fossil fuel energy. The study emphasizes the need to ensure environmental sustainability agenda by adopting cleaner production technologies in WEF resources.

Estimating Potential Energy Consumption and Carbon Emission Reduction in South Korea Using Non-radial Data Envelopment Analysis Approach (Non-radial Data Envelopment Analysis를 적용한 지역별 에너지 및 이산화탄소 저감가능성 추정)

  • Kim, Kwang-Uk;Kang, Sang-Mok
    • Environmental and Resource Economics Review
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    • v.25 no.2
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    • pp.299-320
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    • 2016
  • This study estimates an energy efficiency of 16 metropolitans and provinces in Korea, and measures potential energy-saving and carbon emission reduction using a non-radial data envelopment analysis method. Based on energy mix scenarios, this study also evaluates the impact of changes in energy structural adjustment on a regional environmental performance. The empirical results show that, on average, 12.70% of energy consumption and 13.73% of carbon emission can be reduced by improvement in energy efficiency, and low efficiency of oil usage in metropolitan cities is a major source of the inefficiency. Furthermore, it is found that energy mix policy should be considered to achieve an extra energy-saving and carbon reduction.

Energy Consumption and GHG Emissions from Fuel Combustion in Korean Livestock Sector (축산업의 에너지 소비 및 연료연소에 의한 온실가스 배출 특성)

  • Shim, Sunghee;Lee, Bo Hye;Park, Tae Sik;Jeong, Kyonghwa
    • Journal of Climate Change Research
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    • v.6 no.4
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    • pp.267-276
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    • 2015
  • This study estimates Korea's livestock energy consumption and GHG emissions from Korean livestock sector. The results show that livestock energy consumption in 2013 is 474 thousand TOE, 19.0% of total energy consumption in agriculture sector. It is estimated that GHG emission of fuel combustion from livestock sector is 956 thousand tons of $CO_2$ equivalent while a total of 4,589 thousand tons of $CO_2$ equivalent is emitted from agriculture sector. The livestock GHG emission as a proportion of the total agriculture GHG emissions (20.8%) is higher than the livestock energy consumption as a proportion of agriculture energy consumption (19.0%). This is because coal and petroleum consumption in livestock sector as a proportion of the total livestock energy consumption is higher than that in agriculture sector.

A Study on the Sensitivity Analysis of Offshore wind farm Design (해상풍력발전 단지배치에 따른 민감도 분석에 관한 연구)

  • Kim, Do-Hyung;Jang, Eun-young;Kyong, Nam-Ho;Kim, Hong-Woo;Kim, Sung-Hwan;Kim, Chang-Suk
    • Journal of the Korean Solar Energy Society
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    • v.31 no.3
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    • pp.29-35
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    • 2011
  • This study draws economic expense factors according to the influence of generation resulted from slipstream and the arrangement of the complex when arranging and designing the complex for offshore windpower development as a model of 50MW offshore wind farm and conducts economics analysis. According to the result of the analysis, O (Optimize) arrangement was the one that has the highest generation for having the best windpower resources in terms of design and being least affected by slipstream; however, the arrangement requires expensive submarine cables and high installation cost. Therefore, according to the analysis of economics, it was thought that 50MW complex should have less economics as BC ratio 0.95 than the series arrangement of main wind direction and I+80 series arrangement would be rather more economical. This economics evaluation provides comparison according to the arrangement of the development complex considering the uncertainty of the electricity price and gross construction cost. And it is expected that the result of economics evaluation would greatly differ by installation capacity, and the reason is that the cost of electric infrastructure takes up a higher portion than the gross construction cost of the development complex. The only way to compensate this part is to make the windpower development complex larger. It seems that it will be necessary to enhance spot applicability to evaluate economics afterwards and pay consistent attention to and conduct follow-up research on the economics evaluation of the complex construction.

Evaluating the asymmetric effects of nuclear energy on carbon emissions in Pakistan

  • Majeed, Muhammad Tariq;Ozturk, Ilhan;Samreen, Isma;Luni, Tania
    • Nuclear Engineering and Technology
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    • v.54 no.5
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    • pp.1664-1673
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    • 2022
  • Achieving sustainable development requires an increasing share of green technologies. World energy demand is expected to rise significantly especially in developing economies. The increasing energy demands will be entertained with conventional energy sources at the cost of higher emissions unless eco-friendly technologies are used. This study examines the asymmetric effects of nuclear energy on carbon emissions for Pakistan from 1974 to 2019. Augmented Dickey-Fuller (ADF) and Phillips Perron (PP) unit root tests suggest that variables are integrated of order one and bound test of Autoregressive Distributed Lag (ARDL) and nonlinear ARDL confirm a long-run relationship among selected variables. The ARDL, Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS) results show that the coefficient of nuclear energy has a negative and significant impact on emissions in both short and long run. Further, the NARDL finding shows that there exists an asymmetric long-run association between nuclear energy and CO2 emissions. The vector error correction method (VECM) results indicate that there exists a bidirectional causal relationship between nuclear energy and carbon emissions in both the short and long run. Additionally, the impact of nuclear energy on ecological footprint has been examined and our findings remain robust.

The role of nuclear energy in the correction of environmental pollution: Evidence from Pakistan

  • Mahmood, Nasir;Danish, Danish;Wang, Zhaohua;Zhang, Bin
    • Nuclear Engineering and Technology
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    • v.52 no.6
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    • pp.1327-1333
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    • 2020
  • The global warming phenomenon emerges from the issue of climate change, which attracts the attention of intellectuals towards clean energy sources from dirty energy sources. Among clean sources, nuclear energy is getting immense attention among policymakers. However, the role of nuclear energy in pollution emissions reduction has remained inconclusive and demand for further investigation. Therefore, the current study contributes to extend knowledge by investigating the nexus between nuclear energy, economic growth, and CO2 emissions in a developing country context such as Pakistan for the period between 1973 and 2017. The auto-regressive distributive lag model summarizes the nuclear energy has negative effect on environmental pollution as it releases carbon emission in the environment. Moreover, vector error correction Granger causality provides evidence for bidirectional causality between nuclear energy and carbon emissions. These interesting findings provide new insight, and policy guidelines provided based on these results.

Economic Analysis of Renewable Heat Energy: Levelized Cost of Heat (LCOH) (재생열에너지 경제성 분석: 균등화열생산비용(LCOH))

  • Jaeseok Lee;Ilhyun Cho
    • New & Renewable Energy
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    • v.20 no.1
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    • pp.52-60
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    • 2024
  • This study conducted an economic analysis of renewable heat energy by estimating the levelized cost of heat production (LCOH) of ST and GSHP and comparing it with the cost of alternative fuels. The LCOH of ST ranged from 396.8 KRW/kWh to 578.7 KRW/kWh (small-scale), 270.3 KRW/kWh to 393.3 KRW/kWh (large-scale), and 156.3 KRW/kWh to 220.7 KRW/kWh for GSHP. The economic feasibility of ST and GSHP was analyzed by comparing the calculated LCOH and the fuel costs such as gas and kerosene prices. Moreover, scenario analyses were conducted for installation subsidies under the current system to examine the changes in the economics of renewable thermal energy.