Academic literature on the topic 'Carbon intensity of GDP'

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Journal articles on the topic "Carbon intensity of GDP"

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Ilyasov, R. X., V. A. Plotnikov, and G. V. Fedotova. "TRENDS IN THE CARBON INTENSITY OF RUSSIA'S GDP: SPLINE ANALYSIS." BULLETIN OF CHECHEN STATE PEDAGOGICAL UNIVERSITY Series 1. Humane and Social Sciences 48, no. 4 (2024): 183–91. https://doi.org/10.54351/25876074-2024-4-48-183.

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The global transition to a low-carbon economy is ensured by an increase in the share of environmentally friendly energy in the consumption structure and the introduction of modern energy-efficient production technologies. Many countries of the world have been able to reduce the carbon intensity of GDP in recent years, but in absolute terms global carbon dioxide emissions are not decreasing – the positive effect of reducing carbon intensity is offset by GDP growth. The dynamics of Russia's GDP production, despite the general growth trend, has shown a decline in some periods of time, for example
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Lukács, Bence, and Árpád Tóth. "Corporate carbon intensity and GDP contribution comparison across 4 countries." Journal of Infrastructure, Policy and Development 9, no. 1 (2025): 10615. https://doi.org/10.24294/jipd10615.

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The paper analyzes the corporate carbon emissions and GDP contributions of the top ten companies by turnover for 2020–2023 in Germany, South Korea, China and the United Kingdom. Focusing on Scope 1, 2, and 3, the study explores the contribution of these companies to carbon intensity across different sectors and economies. The analysis shows that there are significant gaps in carbon efficiency, with the UK’s and Germany’s firms emitting the lowest emissions per unit of GDP contribution, followed by China and South Korea. Additionally, the study further examines the impact of Economic Policy Unc
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Song, Zhaoxuan, Tingting Zhu, Shihan Yang, and Huiqin Zong. "Prediction and Analysis of Carbon Emissions under Specific Regional Scenarios in Anhui Province based on the STIRPAT Model." Journal of Innovation and Development 3, no. 2 (2023): 41–45. http://dx.doi.org/10.54097/jid.v3i2.9147.

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In order to achieve the goal of reaching carbon peak by 2030, the STIRPAT model is used to predict carbon emissions under three simulation scenarios: baseline, optimization, and strict control of carbon emissions. Taking Anhui Province as an example, fully considering the impact of factors such as population, per capita GDP, carbon emission intensity, energy consumption intensity, energy structure, and industrial structure on carbon emissions, ridge regression and partial least squares regression were conducted respectively. Finally, the partial least squares regression method with a lower ave
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Meng, Zhaosu, Huan Wang, and Baona Wang. "Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China." International Journal of Environmental Research and Public Health 15, no. 11 (2018): 2467. http://dx.doi.org/10.3390/ijerph15112467.

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China is confronting great pressure to reduce carbon emissions. This study focuses on the driving factors of carbon emissions in China using the Logarithmic Mean Divisia Index (LMDI) method. Seven economic factors, including gross domestic product (GDP), investment intensity, research and development (R&D) intensity, energy intensity, research and development (R&D) efficiency, energy structure and province structure are selected and the decomposition model of influencing factors of carbon emissions in China is constructed from a sectoral perspective. The influence of various economic f
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Mao, Wenqing. "Analysis of influencing factors of carbon emissions in China based on the STIRPAT model." Theoretical and Natural Science 25, no. 1 (2023): 43–50. http://dx.doi.org/10.54254/2753-8818/25/20240898.

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China, as a major economic power, has been increasing its carbon emissions year after year. Effectively controlling carbon emissions and finding suitable and effective methods to reduce emissions have become the main research themes of current research. The Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model is used in this work to analyze the impact of GDP, population, urbanization, and energy intensity on Chinas carbon emissions from 2003 to 2020. From the output by the SPSS software, it can be illustrated that GDP and energy intensity have more obvious
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Illarionov, A., and N. Pivovarova. "Economic Consequences of Ratification of the Kyoto Protocol by the Russian Federation." Voprosy Ekonomiki, no. 11 (November 20, 2004): 34–59. http://dx.doi.org/10.32609/0042-8736-2004-11-34-59.

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Carbon dioxide emissions are the inevitable result of hydrocarbon consumption, that is the energy pillar of the modern civilization. These emissions are the function of economic activity and carbon intensity of GDP. With strict natural limits on speed of reduction in the carbon intensity of GDP restraining CO2 emissions means restraining energy consumption and economic activity. Ratification of the Kyoto Protocol by the Russian Federation means that for the first time in the Russian history legal binding limits are put on absolute size of the Russian economy.
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Kyshakevych, Bohdan, Stepan Nastoshyn, Olha Melnyk, Natalia Maksyshko, and Oleksandr Svintsov. "The relationship between economic growth, international trade and energy efficiency in European countries: An Autoregressive Distributed Lag (ARDL) modeling approach." RIVISTA DI STUDI SULLA SOSTENIBILITA' 14, no. 2 (2024): 141–60. https://doi.org/10.3280/riss2024-002009.

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In order to analyze the nature of relationship among time series represented eco-nomic growth, international trade and energy efficiency of 38 European countries for the period from 1995 to 2022 we employed the ARDL model. We identified bidirectional long-term causal relationships between energy intensity and GDP growth rates, as well as between carbon dioxide emissions intensity, GDP per capi-ta and the proportion of exports in GDP. The analysis showed that over the long term, enhancing the energy intensity contributes to an increase in their rate of eco-nomic growth. However, in the short te
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Zhao, Wen Jin, Lun Wang, Zhao Sun, Zhuang Li, and Yu Li. "An IFP Model for Carbon Footprint in Low-Carbon Urban Agglomeration under Uncertainty." Advanced Materials Research 663 (February 2013): 936–40. http://dx.doi.org/10.4028/www.scientific.net/amr.663.936.

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This paper corrected the existing optimization model of low-carbon urban agglomeration using interval fuzzy programming (IFP) method and several constraint conditions are revised according to the 12th Five Year Plan of the urban agglomeration. The case study shows that the carbon footprint of per unit GDP of urban agglomeration was decreased by [21.95, 57.32] (%) and energy intensity was reduced by [25.89, 50.81] (%) compared with those in 2010; meanwhile, the carbon footprint of per unit GDP and energy intensity in the core area was reduced by [18.90, 34.67] (%) and [22.36, 22.76] (%) respect
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Sun, Lili, Hang Yu, Qiang Liu, et al. "Identifying the Key Driving Factors of Carbon Emissions in ‘Belt and Road Initiative’ Countries." Sustainability 14, no. 15 (2022): 9104. http://dx.doi.org/10.3390/su14159104.

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The ‘Belt and Road Initiative’ (B&R) countries play a key role in mitigating global carbon emissions, but their driving factors behind carbon emissions remain unclear. This paper aimed to identify the key driving factors (KDFs) of carbon emissions in the B&R countries based on the extended STIRPAT (stochastic impacts by regression on population, affluence, and technology) model. The empirical results showed that: (1) Population and GDP per capita were the KDFs that promoted carbon emission, while energy intensity improvement and renewable energy were the KDFs that inhibited carbon emis
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Tang, Decai, Yan Zhang, and Brandon J. Bethel. "An Analysis of Disparities and Driving Factors of Carbon Emissions in the Yangtze River Economic Belt." Sustainability 11, no. 8 (2019): 2362. http://dx.doi.org/10.3390/su11082362.

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As one of the “three major strategies” for China’s regional development, the Yangtze River Economic Belt (YREB) is under severe pressure to reduce carbon dioxide emissions, this paper analyzes the spatiotemporal disparities, and driving factors of carbon emissions based on energy consumption and related economic development data in the YREB over the 2005–2016 11-year period. Using the Stochastic Impacts Regression on Population, Affluence and Technology (STIRPAT) model, we empirically test the factors affecting YREB carbon emissions and key drivers in various provinces and municipalities. The
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Dissertations / Theses on the topic "Carbon intensity of GDP"

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Figueres, Fernando, and Elena Popova. "Environmental Kuznets Curve for Carbon Intensity : a Global Survey." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Nationalekonomi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-15656.

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The Environmental Kuznets Curve is an inverted U-shaped relationship which demonstrates how environmental degradation increases as countries begin to develop and lowers as they become wealthier. The classical EKC measures the effects of GDP per capita (a country’s wealth) on pollu-tion. This paper is a study of the connection of a number of factors- GDP per capita, fossil fuels, al-ternative and nuclear energy, rural population and life expectancy at birth to the Environmental Kuznets Curve. Two econometric approaches are applied in order to test whether the variables have a more pronounced li
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McEvoy, Darryn. "Reducing the carbon intensity of city-regions." Thesis, University of Hull, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403260.

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Milne, Scott. "Carbon intensity of UK household consumption : scenarios to 2030." Thesis, University of Surrey, 2011. http://epubs.surrey.ac.uk/843134/.

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As part of the Research group on Lifestyles, Values and Environment (RESOLVE), at the University of Surrey, UK, this PhD study involves the development of a set of scenarios depicting the carbon intensity of UK household consumption over the next 20 years. A set of four scenario narratives are developed, accompanied by illustrative quantitative figures. The thesis sets out some of the background factors pertinent to this study, including economic, energy and environmental uncertainties, and establishes how household consumption is framed and understood in the present work. Accordingly, emissio
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Ekman, Oskar. "Dynamic pricing and carbon intensity in demand response functions." Thesis, Linköpings universitet, Energisystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-109633.

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The European power sector is facing significant challenges related to investments in grid infrastructure and generation capacity. The continued deployment of intermittent renewables also puts pressure on current grid conditions. Smart grids is seen as a cost-efficient way to overcome these challenges through a more efficient use of current capacity. Demand response is a corner-stone in smart grid development,  and is implemented to introduce flexibility on the demand side. Most demand response programs have used dynamic pricing to incentivize consumers to shift consumption from peak to off-pea
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Lueken, Roger Alan. "Reducing Carbon Intensity in Restructured Markets: Challenges and Potential Solutions." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/479.

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The U.S. electric power sector is in the early stages of transitioning from a reliance on carbon intensive generation sources to a system based on low-carbon sources. In this thesis, I present analyses of four different aspects of this transition, with an emphasis on the PJM Interconnection. The effects of bulk electricity storage on the PJM market I analyze the value of three storage technologies in the PJM day-ahead energy market, using a reduced-form unit commitment model with 2010 data. I find that large-scale storage would increase overall social welfare in PJM. However, the annualized ca
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Wu, Ning Ph D. Massachusetts Institute of Technology. "China energy issues : energy intensity, coal liquefaction, and carbon pricing." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68884.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>In my dissertation I explore three independent, but related, topics on China's energy issues. First, I examine the drivers for provincial energy-intensity trends in China, and finds that technology innovation is the key driver. Then, to understand how technology innovation takes place, I examine coal-to-liquids technology and argue that companies' business diversification strategies are the key driver for the coal
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Zhang, Wenquan. "Understanding Energy and Carbon Intensities in China: Trends, Projections, and Uncertainties." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-177097.

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Two weeks before the Copenhagen summit on climate change, China officially made a pledge to cut its carbon intensity by 40 to 45 percent below 2005 level by 2020. The thesis has tried to look into the quality and quantity concern of this pledge made by the biggest CO2 emitter in the world. From the existing projections on China’s business as usual (BAU) scenarios to 2020, there are no unanimous conclusions showing whether there is additionality in China’s pledge to reduce 40-45% of its carbon intensity between 2005 and 2020. Further analysis on selected results, we have found scenarios of two
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REDAELLI, RENATO. "Ultrashort - high intensity laser matter interaction studies." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/7734.

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Synopsis My thesis work concerns the study of plasmas produced by high intensity lasers (IL 1014 W/cm2). More precisely, it addresses the study of the properties of strongly compressed materials (equations of state - EOS - in regimes of pressures of tens of Mbar). I have tried to address the physics of laser-plasma interactions in a comprehensive way, emphasizing the correlation between various phenomena. The theoretical part is based on a monodimensional analytical description of the plasma created by direct laser irradiation of the target. Such description takes into account the absorptio
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Penuela, Useche Viviana. "Influences of yard management intensity on urban soil biogeochemistry." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5386.

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Soils are critical to ecosystem function as they provide essential nutrients for primary producers, habitat and organic energy for decomposers, and storage of organic matter. Irrigation with reclaimed water is an increasingly popular water conservation strategy; yet its high salinity and nutrient content potentially affect soil properties. In this study, set in a residential neighborhood of Tampa (U.S.). I tested whether there are distinct lawn system management strategies characterized by systematic differences in reclaimed water usage and irrigation and fertilization practices. I then invest
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Zhou, Wenchao. "Optimal method and optimal intensity in reforestation /." Umeå : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1999. http://epsilon.slu.se/avh/1999/91-576-5644-4.pdf.

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Books on the topic "Carbon intensity of GDP"

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National University of Singapore. East Asian Institute, ed. Carbon intensity: China's card for climate politics. East Asian Institute, National University of Singapore, 2009.

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Tian, Huifang. Level versus equivalent intensity carbon mitigation commitments. National Bureau of Economic Research, 2009.

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North Central Forest Experiment Station (Saint Paul, Minn.), ed. Harvesting intensity influences the carbon distribution in a northern hardwood ecosystem. U.S. Dept of Agriculture, Forest Service, North Central Forest Experiment Station, 1997.

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(Firm), Trucost. Carbon risks and opportunities in the S&P 500: Trucost analysis of the greenhouse gas emissions, carbon intensity, and exposure to carbon costs of the top 500 US companies. Trucost Plc, 2009.

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Lasankin, Serey. Carbon neutralization of steelmaking, energy and cement industries. Silhouettes of the carbon-neutral industry. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2122427.

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The monograph examines the ROLL technology that allows solving the climate problem in the steelmaking, energy and cement industries. We are not talking about the exclusion of carbon from the technological process, but about the neutralization of the resulting carbon dioxide.&#x0D; ROLL technology is based on the idea of producing several products from a single heating of raw materials, and the main tools are universal ROLL chambers that bring allied productions closer together in time and space. This reduces the energy intensity of the total product and directs the saved and produced energy to
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Cao, Jing, Mun Ho, and Govinda R. Timilsina. Impacts of Carbon Pricing in Reducing the Carbon Intensity of China's GDP. World Bank, Washington, DC, 2016. http://dx.doi.org/10.1596/1813-9450-7735.

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Bank, Asian Development. Improving Energy Security and Reducing Carbon Intensity in Asia and the Pacific. Asian Development Bank, 2009.

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Fisera, Boris, Martin Melecky, and Dorothe Singer. Financial Deepening and Carbon Emissions Intensity: Evidence from a Global Sample of Countries. Washington, DC: World Bank, 2024. http://dx.doi.org/10.1596/1813-9450-10948.

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I. Integrated Intensity Measurements for Vibration-Rotation Bands of Carbon Dioxide; II. Total Absorptivity Measurements on Carbon Dioxide at Room Temperature. Creative Media Partners, LLC, 2021.

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Green, Tyler W. Carbon, Element: Photographs, Maps and Graphs Explore the Connection Between Human-Caused Global Warming and Increasing Wildfire Intensity Across the State of New Mexico. Green Photography, Tyler, 2024.

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Book chapters on the topic "Carbon intensity of GDP"

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Nkounga, W. M. "Energy in Development Objectives: How the Energy Ecological Footprint Affects Development Indicators?" In Sustainable Energy Access for Communities. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-68410-5_15.

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AbstractAccess to affordable energy services remains a priority for eradicating poverty in developing countries. Energy services from conventional resources are necessary to power economic growth. However, they have a significant ecological footprint. In this study, we assess the impact of greenhouse gases (GHG) emitted by energy systems on some of the Sustainable Development Goals (SDG). The study explores the relationships between the carbon intensity of the energy sector, the energy intensity of the economy and the carbon intensity of the economic system. In a sample of African countries, we found a positive correlation between energy use per capita and greenhouse gas emissions per capita and per unit GDP (carbon intensity of the economy). However, the correlation is less conclusive between energy use per capita and GHG emissions and between energy use per capita and energy use per unit GDP (energy intensity of the economy). Our results support new perspectives on energy sustainability agendas that take into account the macroeconomic parameters of the Sustainable Development Goal number 7 (SDG-7).
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Teske, Sven, and Thomas Pregger. "Science-Based Industry Greenhouse Gas (GHG) Targets: Defining the Challenge." In Achieving the Paris Climate Agreement Goals. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99177-7_2.

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AbstractBackground information is given on the Paris Climate Agreement and the role of nationally determined contributions and net-zero pledges. An overview of historical energy-related CO2 emissions since 1750 and how they relate to economic development, measured in gross domestic product (GDP), is provided, together with the cumulative energy-related CO2 emissions by region. The future energy demand if historical trends in energy efficiency and carbon intensity continue until 2050 is projected. The term ‘science-based target setting’ is defined, and how it relates to the carbon budget published in the Sixth Assessment Report of the IPCC is discussed. The energy-related CO2 emission pathway required to achieve the 1.5 °C target is outlined.
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Frankowski, Jan, Jakub Sokołowski, Serafeim Michas, Joanna Mazurkiewicz, Nikos Kleanthis, and Marek Antosiewicz. "Assessing Macroeconomic Effects of a Carbon Tax as a Tipping Intervention in Economies Undergoing Coal Phase-Out: The Cases of Poland and Greece." In Springer Climate. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-50762-5_15.

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AbstractIntroducing carbon taxation could accelerate systemic change towards a decarbonised future. In this book chapter, we aim to test to which extent this policy can be considered a tipping intervention that can encourage fast green technological innovation and infrastructure development in coal and carbon-intensive regions (CCIRs) and how this policy affects the sectoral structure of the economy. We use a dynamic stochastic general equilibrium model (ΜΕΜΟ) to assess the impacts of implementing a carbon tax on GDP and unemployment in Poland and Greece. These two countries are currently phasing out coal. Our results show that carbon tax implementation significantly affects the macroeconomic indicators and may also lead to considerable labour market effects on sectors other than mining, such as the light industry and construction in Greece and energy-intensive and advanced manufacturing industries in Poland. We also discuss funding and recycling revenue mechanisms that could enable the successful implementation of a carbon tax. We conclude that it would be more reasonable to treat carbon tax as an additional political tool that must be combined with other interventions coordinated with an overall broader full-system transformation narrative rather than a single tool that can determine or ex-ante detect any future tipping point.
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Mitrova, Tatiana. "Energy and the Economy in Russia." In The Palgrave Handbook of International Energy Economics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86884-0_32.

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AbstractThis chapter provides an overview of the Russian energy sector and its role in the Russian economy, also in the context of energy transition. Russia, ranking fourth in the world in primary energy consumption and in carbon dioxide emissions, adheres to the strategy of “business as usual” and relies on fossil fuels. Decarbonization of the energy sector is not yet on the agenda; a skeptical attitude to the problem of global climate change prevails among stakeholders. GDP energy intensity remains high, supported by relatively low energy prices and high cost of capital. The share of solar and wind energy in the energy balance is insignificant and is not expected to exceed 1% by 2035. The challenge for Russia in the coming years is to develop a new strategy for the development of its energy sector, which enters the zone of high turbulence—even in the absence of the influence of the climate change agenda—due to COVID-19, increasing global competition, growing technological isolation and financial constraints.
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Takeda, Shiro. "The Competitiveness Issue of the Japanese Economy Under Carbon Pricing: A Computable General Equilibrium Analysis of 2050." In Economics, Law, and Institutions in Asia Pacific. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6964-7_10.

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Abstract Using a computable general equilibrium (CGE) model, this paper investigates the impact of carbon regulations on the Japanese economy. We use an 11-sector, 15-region global dynamic CGE model with a time span from 2011 to 2050. We assume that Japan (along with other developed regions) reduces CO2 emissions by 80% by 2050 and analyze the impact on the Japanese economy. In particular, we consider multiple scenarios of CO2 reduction rates in less developed regions and analyze how changes in CO2 reduction in these regions affect Japan. In addition, we also consider multiple scenarios of the use of a border adjustment policy and analyze its impact. Our simulation results are summarized as follows. First, an 80% CO2 reduction in Japan generates large negative impacts on the Japanese economy in terms of both the macroeconomy and individual sectors. Second, changes in the reduction rates in less developed regions have only a small impact on Japan. Third, the use of border adjustment in Japan has a small impact on the GDP and welfare of Japan overall but a large impact on output in the energy intensive sectors. When future climate change policies in Japan are discussed, much attention is usually paid to climate policy in less developed regions. However, the second result of our analysis suggests that climate change policy in less developed regions has only a small impact on Japan. In addition, the third result indicates that the effectiveness of border adjustment is limited.
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Rizet, Christophe, Cecilia Cruz, Matthieu De Lapparent, and Martine Vromant. "Carbon Intensity of French Shippers." In Energy and Environment. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307761.ch21.

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Pistorius, P. Chris, Jorge Gibson, and Megha Jampani. "Blast Furnace Ironmaking: Process Alternatives and Carbon Intensity." In Energy Technology 2014. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118888735.ch7.

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Cheekatamarla, Praveen, Kyle Gluesenkamp, Stephen Kowalski, Zhenning Li, and Saad Jajja. "Global Primary Energy Sources and Their Carbon Intensity." In Synthesis Lectures on Engineering, Science, and Technology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45365-6_3.

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Huang, Liangxiong, and Min Liu. "The Spatial Effect Identification of Regional Carbon Intensity and Energy Consumption Intensity of China." In Geo-Informatics in Resource Management and Sustainable Ecosystem. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45737-5_38.

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Battistelli, A., S. Moscatello, S. Proietti, D. Salvini, A. Scartazza, and A. Augusti. "Growth Light Intensity Affects Photosynthetic Carbon Metabolism in Spinach." In Photosynthesis: Mechanisms and Effects. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-3953-3_809.

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Conference papers on the topic "Carbon intensity of GDP"

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Yin, Zi Wen, and Chun Jiang. "Extreme Learning Machine-Autoregression Integrated Moving Average Composite Model." In 12th Annual International Conference on Material Science and Engineering. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-4rjyxe.

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Excessive carbon dioxide emissions are the primary factor causing global warming. Currently, models for controlling carbon dioxide emissions mainly focus on population, economy, and technology. A significant amount of research has been conducted on multivariate linear regression analysis encompassing factors such as population, GDP, and energy consumption. However, the studies examining the impact of green finance on emissions have been limited to qualitative and semi-quantitative levels, lacking in-depth and systematic research. This study establishes a composite model combining the Autoregre
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Zhang, Li, Bao Wang, Jianxiong Jia, et al. "On the Economic Analysis of Energy Intensity and Carbon Intensity in East China." In 2024 IEEE International Conference on Energy Internet (ICEI). IEEE, 2024. https://doi.org/10.1109/icei63732.2024.10917271.

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Shen, Chao, Fengzhou Sun, Hao Chen, Yi Lin, Chuangxin Guo, and Mingyang Sun. "Carbon-NeuGC: Neural Granger Causality Based Attribution Analysis of Power System Carbon Intensity." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10864688.

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Ohs, Robin, Henry Janson, Andreas Schmidt, Luis Gerhorst, Benedict Herzog, and Timo Hönig. "Dirty Electrons: On the Carbon Intensity of Stored Energy." In 2024 IEEE 15th International Green and Sustainable Computing Conference (IGSC). IEEE, 2024. http://dx.doi.org/10.1109/igsc64514.2024.00018.

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Ghadekar, Premanad P., Priyal S. Patange, Atharva S. Pardeshi, Rupali R. Paimode, Paras C. Patil, and Soham P. Pandav. "Predictive modeling of carbon intensity with Environmental impact analysis." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011703.

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Xueye, Li, Shen Wei, Yu Pengxi, and Zhao Anqi. "Research on Factors Influencing Carbon Emission Intensity of Wharf Structure." In 2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific). IEEE, 2024. http://dx.doi.org/10.1109/itecasia-pacific63159.2024.10738659.

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Dewsbury, Mark, Arianna Brambilla, and Paola Leardini. "LOW-CARBON INTENSITY TIMBER FAÇADE SYSTEMS FOR MID-RISE BUILDINGS." In World Conference on Timber Engineering 2025. World Conference On Timber Engineering 2025, 2025. https://doi.org/10.52202/080513-0321.

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Shi, Xizhi, Peihong Yang, and Pengxiang Fan. "Low-Carbon Economic Dispatch of Multi-Park Integrated Energy System Considering Source-Load Carbon Intensity Coupling." In 2024 4th International Conference on Energy Engineering and Power Systems (EEPS). IEEE, 2024. https://doi.org/10.1109/eeps63402.2024.10804469.

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Tomić, Daniel, and Saša Stjepanović. "In Searching for Greener Economic Outcomes; Identification of Factors Influencing Green GDP." In Society’s Challenges for Organizational Opportunities: Conference Proceedings. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.fov.3.2022.72.

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The recent slowdown in CO2 emission is largely result of three factors; weaker economic growth due to global crisis aftermaths, continual improvements in energy intensity and shifts to lower carbon energy thus higher carbon footprint of energy. Various approaches such as IPAT and/or KAYA identities are used to analyze the input factors of CO2 emissions, playing a crucial role in the creation of distinct emission forecasts. In addition, Environmental Kuznets curve hypothesizes a positive relation between income and environmental quality. Arguments that came out of the controversies regarding th
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Punchihewa, C. R., Thanula Gunaratne, Shamah Badurdeen, Sajani Liyanage, and Ruwan Jayathilaka. "Unveiling Climate Change in North Africa Through Carbon Dioxide Emissions and Surface Temperature Dynamics: A Panel Regression and Kaya Identity Analysis." In SLIIT INTERNATIONAL CONFERENCE ON ADVANCEMENTS IN SCIENCES AND HUMANITIES. Faculty of Humanities & Sciences, SLIIT, 2024. https://doi.org/10.54389/dhij9533.

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The North African (NA) region has recorded the highest average Carbon Dioxide (CO2) emissions in Africa and endures a growing rate in Mean Surface Temperature (MST) levels. Focusing on six NA countries: Algeria, Egypt, Libya, Morocco, Sudan, and Tunisia, this study examines the period from 1990 to 2020. A mathematical identity for anthropogenic CO2 emissions was derived using the Kaya identity, expressing individual countries through four drivers: population, GDP per capita, energy intensity, and carbon intensity. Panel Regression and Simple Linear Regression (SLR) analysis were further conduc
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Reports on the topic "Carbon intensity of GDP"

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Chisari, Omar O., and Sebastián J. Miller. CGE Modeling: The Relevance of Alternative Structural Specifications for the Evaluation of Carbon Taxes' Impact and for the Integrated Assessment of Climate Change Effects: Simulations for Economies o. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0009242.

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This paper constructs a small CGE model to study the impact of carbon taxes on GDP and emissions under alternative closure rules and hypotheses (about mobility of factors, availability of alternative technologies and labor market disequilibrium). The model is simulated for Argentina, Brazil, Chile, El Salvador, Jamaica and Peru. The paper evaluates the costs of lowering emissions under different scenarios and finds that: i) those costs are lower under full employment and when international mobility of capital is limited and are higher when those taxes are not imitated by the rest of the world;
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Valencia, Oscar, and André Martínez. Enhancing Fiscal Resilience: Medium-Term Frameworks for Managing Emerging Risks. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013503.

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Climate change poses significant well-known risks to fiscal sustainability in Latin America and the Caribbean, such as annual losses of up to 1.7 percent of GDP due to extreme weather events, the devaluation of carbon-intensive assets caused by the transition to a low-carbon economy, and the loss of fiscal revenues linked to fossil fuels. This study describes how governments can integrate green medium-term fiscal frameworks (MTFFs) into their fiscal planning to mitigate these risks. Green MTFFs combine effective carbon pricing, sustainable reforms, and strategic investments in green infrastruc
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Chisari, Omar O., and Sebastián J. Miller. Does Firm Heterogeneity Impact the Effectiveness of Carbon Taxes? Experiments in Argentina and Mexico. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0011655.

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This paper examines the effectiveness of carbon taxes on macroeconomic performance when manufacturing firms have the opportunity to change their scale of operation and degree of formality. The hypothesis is that when tax evasion or elusion is possible, it cannot be ruled out that emissions increase rather than decrease due to the reallocation of resources from the rest of manufacturing towards informal small-scale firms. When informality is high, industry could adapt to carbon taxes by reducing the scale of operation of big firms and increasing the number of small firms. However, when taxes ar
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Muller, Nicholas. War, Influenza, and U.S. Carbon Intensity. National Bureau of Economic Research, 2022. http://dx.doi.org/10.3386/w30522.

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Tian, Huifang, and John Whalley. Level versus Equivalent Intensity Carbon Mitigation Commitments. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w15370.

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Kolb, G., J. Shutt, G. Freeman, and D. O'Neil. Effects of high-intensity solar radiation on carbon fibers. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5685486.

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Zhang, ZhongXiang. An assessment of China’s energy conservation and carbon intensity. East Asia Forum, 2010. http://dx.doi.org/10.59425/eabc.1287050417.

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S. Basso, Henrique, Ourania Dimakou, and Myroslav Pidkuyko. How consumption carbon emission intensity varies across Spanish households. Banco de España, 2023. http://dx.doi.org/10.53479/29855.

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The prominence of emission mitigation policies calls for an understanding of their potential distributional impact. To assess the distributional heterogeneity, we quantify and analyse the consumption emission intensity, defined as carbon emissions per unit of consumption, across households in Spain. With the exception of the poorest households, emission intensity decreases with income and peaks for households whose head is middle-aged (40 years old). Moreover, households whose main earner is less educated and male emit more per unit of expenditure. Thus, emission mitigation policies may dispro
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Delgado-Téllez, Mar, Javier Quintana, and Daniel Santabárbara Daniel Santabárbara. Carbon pricing, border adjustment and renewable energy investment: a network approach. Banco de España, 2025. https://doi.org/10.53479/38923.

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An increase of €100 per tonne in the EU carbon price reduces the carbon footprint but lowers GDP due to higher energy costs and carbon leakage. Using a dynamic multi-sector, multi-country model augmented with an energy block that includes endogenous renewable energy investment, we analyze the macroeconomic and emissions effects of a carbon price. Investment in renewable energy mitigates electricity price increases in the medium term, leading to a smaller GDP loss (up to -0.4%) and a larger emissions reduction (24%) in the EU. Neglecting renewable energy investment overestimates the negative ec
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Strong, Terry F. Harvesting intensity influences the carbon distribution in a northern hardwood ecosystem. U.S. Department of Agriculture, Forest Service, North Central Research Station, 1997. http://dx.doi.org/10.2737/nc-rp-329.

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