The impact of China and India's economic growth on energy use and CO2 emissions – integrated modelling of economic-energy-environment scenarios

Roques, Fabien; Sassi, Olivier; Hourcade, J-C; Guivarch, Céline; Waisman, Henri; Crassous, Renaud

doi:10.1088/1755-1307/6/21/212003

Cited by 4 publications

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“…In this work, we have chosen the words "energy", "environment", and "economy". The reason why these words have been chosen lies with the scientific community's continued use of 3E terminology to name the development and growth models in which these elements are integrated [1,2,58]. The study period corresponds to the 21st century: from 2001 to 2018 so that new trends can be better defined.…”

Section: Methodsmentioning

confidence: 99%

“…The scientific literature includes numerous articles in which the interrelation between Energy, Economy, and Environment is identified with the nomenclature "3E" [1][2][3]. In this sense, the eight Millennium Development Goals that were proposed by the United Nations Development Organization [4] at the beginning of the 21st century show the global importance of this triple helix in the global economic scenario.…”

Section: Introductionmentioning

confidence: 99%

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Energy, Economy, and Environment: A Worldwide Research Update

et al. 2019

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This paper has reviewed the international research on the interactions between the Economy, Energy, and Environment (3E) in the 21st century. For this purpose, a bibliometric and cluster analysis by fractional accounting has been carried out based on the two most important databases: Web of Science (WoS) and Scopus. The research found and studied 2230 documents from the WoS Core Collection and 3,149 from Scopus. The results show a continuous increase in the number of articles that were published and citations during the whole period. They also showed that China and the United States (U.S.) were the most productive countries and there was a predominance of Asian organizations supporting and fostering researches. The main contribution of this article is the analysis of keywords from 2001 to 2018. The trends show that the main common elements are sustainable development and sustainability and they also include CO2 emissions and consumption. Future research in this field should address the energy transition issue in the area of sustainable development by adapting it to the restrictions of this economic model.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy, Economy, and Environment: A Worldwide Research Update

et al. 2019

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“…However, the research on green finance evaluation lacks precise quantitative norms and statistical data. The scientific literature includes numerous articles in which the interrelation between Energy, Economy, and Environment is identified with the nomenclature "3E" [19,20].…”

Section: How Non-financial Factors Influence Sustainablementioning

confidence: 99%

Multi-Capital Approach for Sustainable Growth: Experience from the Oil & Gas Companies

Steblyanskaya

Mingye

Efimova

et al. 2022

jour

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Nowadays, companies traditionally use economic capital and follow the interests of profit-making by shareholders or financial structures. However, recently there has been a tendency to analyze non-financial factors affecting equity. Multicapitalism is a doctrine that studies the impact of social, environmental, and economic indicators on equity. The subject of the study is the Chinese oil and gas companies’ sustainable growth. The paper’s purpose is to consider the interdependence of non-financial indicators with the Higgins Sustainable Growth Rate (SGR) and the Ivashkovskaya Sustainable Growth Index (SGI). The primary task is to solve the problems faced by China oil and gas companies regarding the introduction of non-financial reporting. The methodological basis of the study is a regression analysis of the influence of non-financial factors on sustainable growth indices. The authors analyze the impact of non-financial factors EROI, PRP, ES, env ROE , ROL, sr ROE on the China oil and gas companies’ SGR and SGI. It is shown that non-financial indicators show a stronger correlation with SGR than SGI. The study’s main conclusion is that there is a significant positive correlation between individual non-financial indicators and sustainable growth indices. The practical application of the obtained research results is seen in the development of non-financial reporting of oil and gas companies in China by including indicators EROI, PRP, ES, env ROE , ROL, sr ROE to assess the work of sustainable growth of the enterprise.

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“…The continuous use of fossils leads to increased concentration of carbon gases in the atmosphere by 35%, which increases the earth's temperature [6]. Energy-related CO 2 emissions globally are estimated to be 7% higher in 2030 due to increase in demand for energy, which is estimated to be 6% in 2030 [7]. Due to the rise in global warming, emissions of GHG, fluctuating oil prices, and rising electricity demand in developing countries, alternative energy solutions are required [8].…”

Section: Introductionmentioning

confidence: 99%

“…Life cycle assessment using simapro software is used to assess the specific compound causing the emission. The findings reveal that the 5-year greenhouse gas emissions by biogas, solar, wood, briquettes, and electricity are 336,111,7,108,20,201.06, and 1,338.28 kg CO 2 /kWh, respectively. Firewood has the highest concentration of carbon dioxide, while solar energy has the least.…”

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confidence: 98%

Energy Use and Greenhouse Gas Emissions in Selected Tea Factories in Kenya

Kibet,

Letema

2023

Preprint

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Tea sector is a major contributor to Kenya’s economy through foreign exchange via export. However, extensive amount of energy is required to produce one kilogram of tea, making tea processing energy-intensive. Comparing greenhouse gas emissions from different types of energy consumed in tea factories is imperative to enable policymakers make informed intervention in emission reduction. Reducing greenhouse gas emissions in tea factories is one of the pathways to meeting Kenya’s nationally determined 32% reduction of carbon emissions by 2030 and commitment to the Paris Agreement. This paper assesses greenhouse gas emissions from different sources of energy used in four tea factories in Kenya. The Intergovernmental Panel on Climate Change emission factor is used to calculate the total emissions of each type of energy used for 5 years. Life cycle assessment using simapro software is used to assess the specific compound causing the emission. The findings reveal that the 5-year greenhouse gas emissions by biogas, solar, wood, briquettes, and electricity are 336,111, 7,108, 20,201.06, and 1,338.28 kg CO2/kWh, respectively. Firewood has the highest concentration of carbon dioxide, while solar energy has the least. Analysis of variance confirms significant difference (0.05>p=0.0272) in greenhouse gas emissions from the different energy sources. Post-hoc analyses shows a significant difference in emissions between solar and firewood (p<0.0125) and no significant difference between other sources of energy. Sustainability in the tea sector can be achieved through switching to macadamia briquettes as a source of thermal energy and a combination of electricity and solar for electrical energy.

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The impact of China and India's economic growth on energy use and CO2 emissions – integrated modelling of economic-energy-environment scenarios

Cited by 4 publications

References 0 publications

Energy, Economy, and Environment: A Worldwide Research Update

Energy, Economy, and Environment: A Worldwide Research Update

Multi-Capital Approach for Sustainable Growth: Experience from the Oil & Gas Companies

Energy Use and Greenhouse Gas Emissions in Selected Tea Factories in Kenya

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