Carbon Dioxide, Nitrous Oxide, and Methane: What Types of Greenhouse Gases Are Most Affected by Green Investments and Renewable Energy Development?

Energies, Journal Year: 2024, Volume and Issue: 17(4), P. 804 - 804

Published: Feb. 7, 2024

The article aims to analyze the impact of green investments and development renewable energy on greenhouse gas emissions based 223 countries in 2011–2021. information base is International Renewable Energy Agency, Our World Data, Climate Policy Initiative, FTSE Russell. Correlation analysis was used check data multicollinearity, multivariate regression with stepwise variable entry—to formalize functional relationships. All variables characterizing dynamics alternative energy, number annual off-grid has largest amount CO2 N2O. Thus, an investment increase USD 1 million leads a emission 4.5 kt N2O 0.272 kt. Simultaneously, economy’s market capitalization level CH4. In this case, increases trillion CH4 129.53 have statistically significant effect only one three studied gases—CO2 emissions. Here, MW growth absolute capacity 1171.17 reduction Checking input for lags confirmed time lag year between That is, delayed by year. results models taking into account that positive reducing (an decrease 1.18 1.102 kt; economy 0.64 kt).

Language: Английский

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Environmentally related taxes and their influence on decarbonization of the economy

Environmental Economics, Journal Year: 2024, Volume and Issue: 15(1), P. 174 - 189

Published: June 3, 2024

Environmental taxes ensure sustainable development, but their fiscal and environmental effectiveness differs for countries with different socio-economic characteristics. This study aims to compare the impact of tax revenues on economy’s decarbonization (measured through carbon productivity – ratio GDP dioxide emissions) in countries, considering green technologies development emissions. The paper analyzed OECD World Bank statistical data 38 2002–2021 using linear panel regression models fixed random effects (using Hausman test STATA 18). To identify explicit latent patterns this influence, which are common certain analysis did not consider each country separately targeted clusters, distinguished by Ward Sturges methods based effective rate emissions, total revenues, productivity. positive influence level has been confirmed 29 (four from six clusters). effect is largest USA (an increase 1% leads an 0.9% average) smallest cluster including Austria, Belgium, Canada, Costa Rica, Czechia, Estonia, France, Germany, Hungary, Iceland, Korea, Lithuania, New Zealand, Poland, Portugal, Slovakia, Spain, Great Britain (increase 0.1%). negative was nine (two clusters): Denmark, Finland, Israel, Latvia, Sweden (decrease 0.3%) Greece, Italy, Netherlands, Slovenia 0.21%).

Language: Английский

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DETERMINANTS OF BUYER BEHAVIOR ON THE CONSUMER MARKET UKRAINE UNDER THE CONDITIONS OF MARITAL STATE

Innovation and Sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 32 - 42

Published: March 28, 2024

The purpose of the study is to identify typical determinants consumer behavior under martial law. article attempts analyze and its impact on market Ukraine. key factors determining in Ukraine conditions military operations have been identified. dynamics indices sentiment were analyzed, particular: inflation expectations, sentiment, current situation, economic expectations regarding unemployment, their interrelationships also analyzed. trends revealed by change population law are substantiated. Recommendations for business government effective management ensuring stability conflict developed.

Language: Английский

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Effectiveness of reforms to eliminate obstacles in the development of sustainable energy in different countries of the world

Problems and Perspectives in Management, Journal Year: 2024, Volume and Issue: 22(3), P. 1 - 13

Published: July 1, 2024

The development of strategy and tactics for reforms in the energy industry involves identification benchmark countries whose experience can form basis a quantitative assessment main targets reforms. such decisions be results integrated EU 2010–2021. This study aims to cluster these according integral indicator determine specific directions which respective country needs make progress moving another cluster. Thus, based on linear model, Fishburn formula, variance analysis, 10 indicators were combined into single that characterizes effectiveness (for example, 2021, it was highest Austria (0.612), Germany (0.644), France (0.620); lowest – Latvia (0.383) Croatia (0.369)). Based this indicator, clustered using k-means method. Four clusters formed: representatives first (Austria, Germany, France, Spain, Sweden, Luxembourg) are strategic benchmarks all countries, other tactical from lower clusters. average values calculated. Their low sign direction should priority when carrying out reforms, their estimates used as setting tasks (transition higher or achieving one’s cluster). AcknowledgmentThe research funded by Fellowship agreement fellowship framework 11th funding round within Philipp Schwartz Initiative Alexander von Humboldt Foundation.

Language: Английский

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Review of Methods for Diagnosing the Degradation Process in Power Units Cooperating with Renewable Energy Sources Using Artificial Intelligence

Energies, Journal Year: 2023, Volume and Issue: 16(17), P. 6107 - 6107

Published: Aug. 22, 2023

This work is based on a literature review (191). It mainly refers to two diagnostic methods artificial intelligence. presents new possibilities for using genetic algorithms (GAs) purposes in power plants transitioning cooperation with renewable energy sources (RESs). The method rarely used directly the modeling of thermal-flow analysis. However, this assignment proves that can be successfully purposes. GA was presented studies steam turbines controlled from central system obtain stability RESs. should remembered development software locate one-off degradations necessary turbine works sustainably In paper, against background review, procedures create an inverse model thermal plant. Algorithms were detect fast global extremes through convergence simulated signatures signs explaining degradation. addition, statistical dependencies are selection phase accelerate fault detection. created procedure allows obtaining diagnosis form single turns out quite effective above example.

Language: Английский

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Energy–Logistics Cooperative Optimization for a Port-Integrated Energy System

Mathematics, Journal Year: 2024, Volume and Issue: 12(12), P. 1917 - 1917

Published: June 20, 2024

In order to achieve carbon peak and neutrality goals, many low-carbon operations are implemented in ports. Integrated energy systems that consist of port electricity cooling loads, wind PV devices, storage, clean fuels considered as a future technology. addition, ports important hubs for the global economy trade; logistics optimization is also part their objective, most facilities have complex logistics. This article proposes an energy–logistics collaborative method fully tap potential port-integrated systems. A logistics–energy system model established by deeply examining operational characteristics corresponding consumption patterns, considering ships’ statuses, quay crane distribution constraints, power balances. To better represent ship–energy–logistics problem, hybrid modeling technique employed. The case Shanghai Port studied; results show costs can be reduced 3.27% compared traditional method, sensitivity analysis demonstrates robustness proposed method.

Language: Английский

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The Role of Leadership in Industry 4.0

System Safety Human - Technical Facility - Environment, Journal Year: 2023, Volume and Issue: 5(1), P. 66 - 74

Published: Dec. 1, 2023

Abstract In modern society, the use of technology occurs constantly, and it is already impossible to imagine human life without it. The spread implementation artificial intelligence in social processes form a specific interaction between this society. Achieving only positive results from using intelligent software systems requires awareness responsibility people when interacting with smart machines. managerial leader an important topic management. article examines role fourth industrial revolution era considers statistical forecasts regarding its future impact on various spheres activity. author analyzed features leadership conditions development substantiated who uses functions management activities. proposed hierarchical scheme participants production process organization, which arises achieve set goals. main result work that reveals need for formation structure organizational system technological potential intelligence. Using by practitioners-managers will make possible latest developments as efficiently safely possible.

Language: Английский

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Do Green Energy and Information Technology Influence Greenhouse Gas Emitting Countries to Attain Sustainable Development?

Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 13685 - 13685

Published: Sept. 13, 2023

Transitioning from traditional energy sources to green and sustainable can potentially reduce environmental problems. Many countries are gradually recording increasing greenhouse gas (GHG) emissions as they develop their economies. As a result, this study aims use top GHG-emitting in its analysis establish the role information technology play reducing pollution levels. Data 11 1990–2020 were utilized. The Fully Modified Ordinary Least squares (FMOLS), Dynamic ordinary least (DOLS), Granger causality used for analysis. empirical results revealed that an increase non-renewable usage of 1% increases GHG by 0.6960% (FMOLS) 0.6119% (DOLS). On impact renewable energy, reduces 0.1145% 0.1957% Also, 0.0459% 0.0429% (DOLS) under specifications FMOLS DOLS. directional causalities established well. In light this, using “abundant” is gateway alongside tremendous economic growth I.T. development. Other policy implications outlined future research policymakers.

Language: Английский

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DEVELOPMENT OF THE ELECTRIC VEHICLE MARKET WITH A FOCUS ON SUSTAINABILITY

Socio-economic relations in the digital society, Journal Year: 2024, Volume and Issue: 4(54), P. 5 - 15

Published: Dec. 30, 2024

In recent years, the global transportation sector has witnessed a shift towards electric vehicles powered by renewable energy sources. Experts predict an increasing role for in leading economies due to depletion of fossil fuels and harmful emissions from internal combustion engines. The rise prices stringent environmental regulations further drive this transition. main goal research work is study relationship between production cars, government subsidies, oil prices, GDP per capita R&D investments. Correlation analysis was chosen as method, but graphical method also used visualization. There strong positive correlation Tesla cars price oil, indicating that higher make more attractive, cost-effective, environmentally friendly alternative gasoline diesel cars. Based on conducted analyses, it can be emphasized transition use critically necessary response climate change, reduction fuel reserves, growing need sustainable development. This helps increase efficiency, reduce dependence improve air quality cities reducing substances.

Language: Английский

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