The role of renewable energy use, technological innovation, and forest cover toward green development: Evidence from Indonesia

Innovation and Green Development, Journal Year: 2023, Volume and Issue: 2(1), P. 100035 - 100035

Published: Feb. 9, 2023

Emissions of greenhouse gases (GHG), and carbon dioxide (CO2) represent a significant threat to environment, economy, human health. This article summarises the results an empirical investigation on potential for economic growth, renewable energy use, technical advancement, forest cover in Indonesia reduce CO2 emissions. study utilized Dynamic Ordinary Least Squares (DOLS) approach analyze time series data covering 1990–2020. The statistics suggest that Indonesia's emissions would increase by 1.17% every 1% development. Furthermore, use may be connected with 1.40% decrease emissions, innovation 0.17% decrease, 3.94% estimated outcomes are insensitive alternative estimators such as fully modified ordinary least squares (FMOLS) canonical cointegrating regression (CCR). pairwise Granger causality test was employed capture causal relationship between variables. presents policy suggestions achieving environmental sustainability through reduction These policies emphasize low-carbon promoting financing ecological viability forests.

Language: Английский

---

The dynamic nexus between economic growth, renewable energy use, urbanization, industrialization, tourism, agricultural productivity, forest area, and carbon dioxide emissions in the Philippines

Energy Nexus, Journal Year: 2023, Volume and Issue: 9, P. 100180 - 100180

Published: Feb. 17, 2023

Global climate change, intensified by greenhouse gas (GHG) emissions, particularly carbon dioxide (CO2), provides a massive threat to human life, the environment, development, and sustainability. Consequently, reducing emissions improving environmental conditions are now global priority for promoting sustainable growth preventing adverse consequences of warming change. However, there is paucity research employing econometric methodologies investigate potential emission reduction factors, in case Philippines. Thus, present study explored dynamic effects economic growth, renewable energy use, urbanization, industrialization, tourism, agricultural productivity, forest area Philippines order accomplish sustainability lowering CO2 emissions. The Autoregressive Distributed Lag (ARDL) bounds testing approach Dynamic Ordinary Least Squares (DOLS) methodology were used scrutinize time series yearly data from 1990 2020. According estimates, 1% rise tourism will raise 0.16%, 1.25%, 0.06%, 0.02% Philippines, respectively. Furthermore, increase consumption, may result reductions 1.50%, 0.20%, 3.46%, pairwise Granger causality test was employed capture causal relationships between variables. This article policy implications on low-carbon economies, green eco-friendly climate-smart agriculture, management, all which could help ensure

Language: Английский

---

Toward sustainable and green development in Chile: Dynamic influences of carbon emission reduction variables

Innovation and Green Development, Journal Year: 2023, Volume and Issue: 2(2), P. 100038 - 100038

Published: Feb. 20, 2023

This study investigated the dynamic effects of economic growth, renewable energy consumption, urbanization, industrialization, tourism, agricultural productivity, and forest area on carbon dioxide (CO2) emissions in Chile. Using ordinary least squares (DOLS) approach, time series data from 1990 to 2020 were analyzed. A 1% increase tourism will Chile's CO2 by 0.62%, 0.24%, 0.15%, 0.1%, respectively. Additionally, a production, may lead emission reductions 0.55%, 0.20%, 0.98%, The estimated outcomes are insensitive alternative estimators such as fully modified (FMOLS) canonical cointegrating regression (CCR). In order ensure environmental sustainability through reductions, this article recommends policies low-carbon economies, sustainable green eco-friendly climate-smart agriculture, management.

Language: Английский

---

Nexus Between Urbanization, Industrialization, Natural Resources Rent, and Anthropogenic Carbon Emissions in South Asia: CS-ARDL Approach

Anthropocene Science, Journal Year: 2023, Volume and Issue: 2(1), P. 48 - 61

Published: March 29, 2023

Language: Английский

---

Dynamic impacts of economic growth, energy use, tourism, and agricultural productivity on carbon dioxide emissions in Egypt

World Development Sustainability, Journal Year: 2023, Volume and Issue: 2, P. 100059 - 100059

Published: April 2, 2023

Global climate change, exacerbated by greenhouse gas (GHG) emissions, notably carbon dioxide (CO2), provides a huge danger to lives, the global environment, and development. The current study explored dynamic effects of economic growth, fossil fuel energy consumption, renewable tourism, agricultural productivity on CO2 emissions in Egypt. Dynamic Ordinary Least Squares (DOLS) method was used analyze time series data from 1990 2019. empirical findings revealed that, while use energy, tourism contribute environmental damage cumulative Egypt, an increased share improved quality lowering emissions. Similar results were obtained using alternative estimators such as fully modified least squares (FMOLS) canonical cointegrating regression (CCR). Furthermore, pairwise Granger causality test determine causal relationship between variables. This adds literature putting light causes pollution article made policy ideas for low-carbon economy, boosting green climate-smart agriculture, all which would assure sustainability Egypt

Language: Английский

---

An econometric evaluation of the effects of economic growth, energy use, and agricultural value added on carbon dioxide emissions in Vietnam

Asia-Pacific Journal of Regional Science, Journal Year: 2023, Volume and Issue: 7(3), P. 665 - 696

Published: Feb. 16, 2023

Language: Английский

---

An econometric analysis of Greenhouse gas emissions from different agricultural factors in Bangladesh

Energy Nexus, Journal Year: 2023, Volume and Issue: 9, P. 100179 - 100179

Published: Feb. 16, 2023

Global climate change triggered by greenhouse gases (GHGs) puts incomparable threats to the environment and food security. Agriculture is one of key drivers environmental deterioration, which linked GHG emissions labeled ultrasensitive change. However, there a scarcity research exploring nexus between agriculture in Bangladesh. Thus, present study empirically investigates dynamic impacts agricultural land expansion, value added, crop production, livestock fisheries energy use agriculture, fertilizer consumption, forest on Time series data from 1990 2018 were utilized employing Dynamic Ordinary Least Squares (DOLS) approach. The empirical findings reveal that 1% increase land, production index, consumption will 0.25%, 0.29%, 0.40%, 0.18%, 0.46%, 0.28% long run. Conversely, added may lead reduction 0.32% 1.44% estimated results are robust alternative estimators such as fully modified least squares (FMOLS) canonical cointegrating regression (CCR). This contributes existing literature shedding light sector article put forward policy recommendations sustainable climate-smart would enhance productivity resilience while reducing sector.

Language: Английский

---

Nexus between economic growth, natural resources rents, trade globalization, financial development, and carbon emissions toward environmental sustainability in Uruguay

Electronic Journal of Education Social Economics and Technology, Journal Year: 2023, Volume and Issue: 4(2), P. 55 - 65

Published: March 2, 2023

There have been variances in environmental quality as the globe continues to become a globalized society, however, research including trade globalization into policy framework remains inconclusive. Using Uruguayan time series dataset between 1990 and 2020, this study investigated impact of economic growth, natural resource rents, globalization, financial development on carbon dioxide (CO2) emissions. an Autoregressive Distributed Lag (ARDL) model, inquiry quantifies short- long-run dynamics. The results ARDL bounds test indicate long-term relationship emissions these variables. Additionally, short-and analyses demonstrated positive statistically significant effect Uruguay's CO2 However, both short-run coefficients are negative, indicating that has no deterioration Uruguay. Furthermore, by using Fully Modified Ordinary Least Squares (FMOLS), Dynamic (DOLS), Canonical Cointegration Regression (CCR), findings were confirmed. Based study, it is recommended international regulations be reevaluated export limitations for goods with high levels pollution strengthened.

Language: Английский

---

Economy-energy-environment nexus: The role of information and communication technology towards green development in Malaysia

Innovation and Green Development, Journal Year: 2023, Volume and Issue: 2(4), P. 100085 - 100085

Published: June 27, 2023

Global warming and climate change are caused by anthropogenic greenhouse gas (GHG) emissions from rising energy consumption due to population economic growth. Over the past decade, information communication technology (ICT) usage has increased which may increase utilization GHG emissions. Conversely, ICT's clean technologies can minimize pollution. Therefore, this study investigated dynamic influences of ICT, growth, population, use on in Malaysia employing autoregressive distributed lag (ARDL) approach using data 1990 2021. The results ARDL bounds test indicated existence a long-run link between variables. revealed that 1% number Internet users could 0.013% short run but cut 0.077% long run. Additionally, have positive association with robustness outcomes been checked Fully Modified Ordinary Least Squares (FMOLS), Dynamic (DOLS), Canonical Cointegration Regression (CCR) methods. This article offers additional policy proposals for emission reduction sustainable development promoting renewable financing green ICT.

Language: Английский

---

Does globalization escalate the carbon emissions? Empirical evidence from selected next-11 countries

Energy Reports, Journal Year: 2023, Volume and Issue: 10, P. 86 - 98

Published: June 22, 2023

Adverse consequences are observed in developing countries due to the impact of globalization process. Therefore, our study aims empirically verify whether escalates carbon dioxide emissions selected N-11 (next-11) between 1990 and 2019. The also analyzes how per capita GDP, GDP2, population growth, renewable energy consumption affect emissions. For this reason, researchers used several econometric methods, including slope homogeneity test, cross-sectional dependency panel unit root cointegration method moment's quantile regression analysis, Wald test. estimated results show change across a range quantiles (0.1 0.9). findings that GDP significantly impacts overabundance countries. Over time, found positive coefficient value decreased from first last (7.41 5.87), leading validation EKC hypothesis. adverse correlation GDP2 environmental contamination confirms Environmental Kuznets Curve hypothesis is valid for Globalization deteriorates environment by directly affecting CO2 It increases monotonically lower upper (0.972 1.002). At level 0.1 0.9, growth increase impede these Coefficient values 0.9 (-0.35 -0.53) suggest governments can reduce more over time. But negative (-0.97, -0.93, -0.90, -0.88, -0.86, -0.85, -0.83, -0.81, -0.77) decrease quantile. test supports asymmetric effects different quantiles. As robustness check estimators, FMOLS, DOLS, CCR, which variables' long-run elasticity. research developed targeted policy recommendations sustainably mitigating based on above results.

Language: Английский

---