Exploring how economic growth, renewable energy, internet usage, and mineral rents influence CO2 emissions: A panel quantile regression analysis for 27 OECD countries

Resources Policy, Journal Year: 2024, Volume and Issue: 92, P. 105025 - 105025

Published: April 22, 2024

Language: Английский

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An investigation into the primary causes of carbon dioxide releases in Kenya: Does renewable energy matter to reduce carbon emission?

Renewable energy focus, Journal Year: 2023, Volume and Issue: 47, P. 100491 - 100491

Published: Sept. 10, 2023

This study estimates the effects of gross domestic product (GDP), population, renewable energy consumption, fossil fuels, and foreign direct investment (FDI) on Kenya's carbon emissions by considering time series data from 1972 to 2021. investigation makes use "Autoregressive Distributed Lag (ARDL)" method, which is grounded in theoretical framework "Stochastic Impacts Regression Population, Affluence, Technology" model known as STIRPAT model. According empirical results, variables have long-run cointegration. lends credence earlier research demonstrating that a rise GDP population can increase country's CO2 emissions. All estimation methods used this also demonstrated growth has negative impact emissions, while positive effect long run. In context ARDL, fuels but not statistically significant. Achieving sustainable development required significant investments infrastructure because reduces Based these findings, policymakers make informed decisions about energy.

Language: Английский

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The Driving Factors of Italy’s CO2 Emissions Based on the STIRPAT Model: ARDL, FMOLS, DOLS, and CCR Approaches

Energies, Journal Year: 2023, Volume and Issue: 16(15), P. 5845 - 5845

Published: Aug. 7, 2023

As the sustainability of environment is a very much concerning issue for developed countries, drive paper to reveal effects nuclear, environment-friendly, and non-friendly energy, population, GDP on CO2 emission Italy, country. Using extended Stochastic Regression Population, Affluence, Technology (STIRPAT) framework, yearly data from 1972 2021 are analyzed in this through an Autoregressive Distributed Lag (ARDL) framework. The reliability study also examined by employing Fully Modified Ordinary Least Square (FMOLS), Dynamic (DOLS), Canonical Cointegration (CCR) estimators Granger causality method which used see directional relationship among indicators. investigation confirms findings previous studies showing that longer period, rising Italian non-green energy 1% can lead higher emissions 8.08% 1.505%, respectively, while alternative nuclear falling 0.624%. Although population green adversely influence upsurge CO2, they seem insignificant. Robustness tests confirm these longer-period impacts. This analysis may be helpful planning developing strategies future financial funding sector essential if country achieve its goals sustainable development.

Language: Английский

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Energy-economy-environment nexus in China: The role of renewable energies toward carbon neutrality

Innovation and Green Development, Journal Year: 2024, Volume and Issue: 3(3), P. 100139 - 100139

Published: Feb. 15, 2024

Global climate change triggered by the escalating carbon dioxide (CO2) emissions resulting from heightened economic expansion and consumption of energy represents foremost environmental concern in contemporary global context. China is accountable for nearly 27% total CO2 emissions, making it largest emitter worldwide. This study explores consequences outgrowth, fossil fuel, renewable utilization on China's CO2. The utilized an autoregressive distributed lag (ARDL) model to analyze annual data 1965 2022. ARDL bounds test results indicate presence long-term cointegration among variables. empirical specify that a 1% growth fuels economy leads 4.97% 0.58% emissions. In short term, these increases amount 2.42% 1.21%, respectively. Conversely, enhancement could result reduction 1.39%, whereas would be 0.50%. proposes policy suggestions attainment sustainable development neutrality.

Language: Английский

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The Impact of Fossil Fuels, Renewable Energy, and Nuclear Energy on South Korea’s Environment Based on the STIRPAT Model: ARDL, FMOLS, and CCR Approaches

Energies, Journal Year: 2023, Volume and Issue: 16(17), P. 6198 - 6198

Published: Aug. 25, 2023

This study intends to shed light on the environmental impacts of energy decisions in South Korea by analyzing correlation between consumption patterns and indicators such as carbon dioxide emissions. In 2021, global CO2 emissions increased 6%—to highest ever level 36.3 billion tons—according International Energy Agency (IEA). increase is a big problem for all countries around world. The aim this article an analyze impact fossil fuels, renewable energy, nuclear Korea’s environment based STIRPAT (stochastic regression population, affluence, technology) model. Exploring intricate nexus economic outcomes, employs model influence GDP, population dynamics, environment. yearly data from 1972 2021 are analyzed paper using autoregressive distributed lag (ARDL) reliability also examined employing FMOLS (fully modified ordinary least squares) CCR (canonical cointegrating regression) estimators. confirms findings previous research showing that rising GDP can lead higher strategy switching cut down Korea, it exhibits coefficient −0.085 *. robustness results CCR’s support baseline ARDL findings.

Language: Английский

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Linking clean energy consumption, globalization, and financial development to the ecological footprint in a developing country: Insights from the novel dynamic ARDL simulation techniques

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e27095 - e27095

Published: Feb. 24, 2024

Developing countries have been facing economic difficulties for over three and a half decades due to numerous factors, including fossil fuel consumption dwindling biocapacity. It is necessary pinpoint the factors that may be culpable poor environmental quality leading rising ecological footprint (EFP). This study explores effect of clean energy, financial development (FDV), globalization on EFP in developing country using novel dynamic ARDL simulation techniques bootstrap causality test. The findings suggest green energy has no meaningful impact EFP. Globalization FDV significantly reduce by 0.25% 0.08%, respectively. Besides, confirm existence EKC hypothesis. Furthermore, results affirm unidirectional from EFP, while growth drives globalization. Also, one-way flows FDV, just as Granger causes energy. In line with findings, recommends public policies focus funding environmental-friendly technologies innovations. must recently developed energy-saving can ensure complementarity between increased deterioration.

Language: Английский

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The role of economic growth, financial development, globalization, renewable energy and industrialization in reducing environmental degradation in the economic community of West African States

Cogent Economics & Finance, Journal Year: 2024, Volume and Issue: 12(1)

Published: Feb. 5, 2024

Since the ECOWAS region is most susceptible to climate change, factors driving change and policy processes are pressuring authorities in take more action fight against change. In light of this, paper investigates role financial development, globalization, renewable energy, economic growth, industrialization reducing environmental degradation framework N-shaped Kuznets curve hypothesis. Second generation econometric techniques, Driscoll-Kraay panel regression approach quantile estimation techniques were developed based on a dataset 10 countries from 1990 2019. From analyses, EKC validated for region. Moreover, empirical analysis suggests that lower levels associated with increased development energy usage. Globalization have deleterious impact quality. The results U-test also reveal shape contingent nation under study. On other hand, show holds low medium emitters but not high emitters. significantly promote all quantiles, while homogeneously reduces degradation. Financial was found hinder having neutral effect offers valuable directions policymakers findings.

Language: Английский

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A Systematic Review of Geographic Information Systems (GIS) in Agriculture for Evidence-Based Decision Making and Sustainability

Global Sustainability Research, Journal Year: 2024, Volume and Issue: 3(1), P. 1 - 24

Published: Jan. 7, 2024

The aim of this study was to consolidate current information on the utilization Geographic Information Systems (GIS) and Remote Sensing (RS) in agricultural sector, with a focus their role promoting evidence-based policies practices enhance sustainability. Additionally, review sought identify challenges hindering widespread adoption GIS RS applications, particularly low- middle-income nations. This employed methodology systematic literature review. findings indicate that technology sector has experienced notable increase over past few years. primary areas use for have been identified encompass crop yield estimation, assessment soil fertility, monitoring cropping patterns, evaluation drought conditions, detection management pests diseases, implementation precision agriculture techniques, fertilizer weed control. possesses capacity augment sustainability by incorporating spatial aspect into policies. Furthermore, potential facilitating decision making is expanding. Given escalating peril climate change food security, there exists heightened imperative include policy formulation decision-making processes practices. might be beneficial informing development effectively integrate sustainable climate-smart agriculture.

Language: Английский

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Approaches to ecological sustainability in sub-Saharan Africa: Evaluating the role of globalization, renewable energy, economic growth, and population density

Research in Globalization, Journal Year: 2025, Volume and Issue: unknown, P. 100273 - 100273

Published: Jan. 1, 2025

Language: Английский

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A review on the integrative approach for economic valuation of forest ecosystem services

Journal of Environmental Science and Economics, Journal Year: 2023, Volume and Issue: 2(3), P. 1 - 18

Published: July 31, 2023

Forests have the most biodiversity and provide vital ecosystem services. They offer numerous forest-related services, some of which can be commercialized. This improves social, cultural, health, scientific life. Nonmarketable intangible services are discounted because people think they're endless free. Humans changed natural social worlds through using resources improving well-being. Public private decision-makers often compete over capital. The loss biodiversity, climate change, global warming interconnected with development ensuring an acceptable level well-being for majority humanity, making it difficult a single, individual approach to estimating value these goods generate support decisions policies in complex areas. complexity products requires integrated assessment cutting-edge technologies approaches pluralist framework heterogeneous values. evaluation should encompass costs benefits several commodity service applications. These usage' effects on economic, cultural advancement also crucial. extensive thorough enthronization ecosystems affect amount quality services; thus, is quantify complicated inverse effect from civilization nature. Studies show that incorporating sustainability sciences into integrative may environmental policy future.

Language: Английский

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