Nexus between carbon emissions, economic growth, renewable energy use, urbanization, industrialization, technological innovation, and forest area towards achieving environmental sustainability in Bangladesh

Energy and Climate Change, Journal Year: 2022, Volume and Issue: 3, P. 100080 - 100080

Published: Aug. 6, 2022

Global climate change, exacerbated by greenhouse gas (GHG) emissions, notably carbon dioxide (CO2) offers enormous risks to the environment, development, and long-term sustainability. This study looks at how economic growth, renewable energy utilization, urbanization, industrialization, technological innovation, forest area might help Bangladesh attain environmental sustainability lowering CO2 emissions. The autoregressive distributed lag (ARDL) bounds testing strategy was used test time series data from 1990 2019, followed Dynamic Ordinary Least Squares (DOLS) method. empirical findings reveal that industrialization increase emissions in while improving use, assistance achieve reducing In addition, pairwise Granger causality utilized capture causal linkages between variables. article provides policy recommendations aimed a low-carbon economy, promoting sustainable green financing advancement, management, accomplish emission reduction Bangladesh.

Language: Английский

---

Toward a sustainable environment: Nexus between economic growth, renewable energy use, forested area, and carbon emissions in Malaysia

Resources Conservation & Recycling Advances, Journal Year: 2022, Volume and Issue: 15, P. 200096 - 200096

Published: June 14, 2022

Global climate change caused by greenhouse gasses (GHGs), particularly carbon dioxide (CO2) emissions, poses incomparable threats to the environment, development, and sustainability. This research investigates potential of economic growth, renewable energy use, forested area toward achieving environmental sustainability in Malaysia reducing CO2 emissions. Time series data from 1990 2019 were utilized applying Dynamic Ordinary Least Squares (DOLS) method. The empirical findings show that coefficient growth is positive significant, indicating a 1% increase related 0.78% rise In addition, use negative but not suggesting increasing associated with emissions reduction 0.10%. Finally, implying linked 3.86% estimated results are robust alternative estimators such as fully modified least squares (FMOLS) canonical cointegrating regression (CCR). pairwise Granger causality test was capture causal relationship between variables. outcomes reveal deteriorates quality while enhanced can reduce Malaysia's study put forward policy recommendations for low-carbon economy, promoting energy, sustainable forest management which could help achieve through emission Malaysia.

Language: Английский

---

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

---

Dynamic impacts of economic growth, energy use, urbanization, tourism, agricultural value-added, and forested area on carbon dioxide emissions in Brazil

Journal of Environmental Studies and Sciences, Journal Year: 2022, Volume and Issue: 12(4), P. 794 - 814

Published: Aug. 5, 2022

Language: Английский

---

Dynamic impacts of economic growth, energy use, urbanization, agricultural productivity, and forested area on carbon emissions: New insights from Kazakhstan

World Development Sustainability, Journal Year: 2022, Volume and Issue: 1, P. 100019 - 100019

Published: Jan. 1, 2022

The study aims to investigate the dynamic impacts of economic growth, energy use, urbanization, agricultural productivity, and forested area on carbon dioxide (CO2) emissions in Kazakhstan. Time series data from 1996 2020 were utilized by employing Dynamic Ordinary Least Squares (DOLS) approach. Autoregressive Distributed Lag (ARDL) bounds test revealed evidence cointegration among variables long run which has been verified Johansen Engle-Granger test. empirical findings that a 1% increase urbanization cause an CO2 0.14%, 0.81%, 1.28% Conversely, productivity may lead reduction 0.34% 2.59%, respectively run. estimated results are robust alternative estimators such as fully modified least squares (FMOLS) canonical cointegrating regression (CCR). In addition, pairwise Granger causality was capture causal linkage between variables. This article put forward policy recommendations areas low-carbon economy, renewable energy, sustainable urban development, climate-smart agriculture,

Language: Английский

---

Dynamic impacts of economic growth, renewable energy use, urbanization, industrialization, tourism, agriculture, and forests on carbon emissions in Turkey

Carbon Research, Journal Year: 2022, Volume and Issue: 1(1)

Published: Sept. 26, 2022

Abstract The present study examined the dynamic effects of economic growth, renewable energy use, urbanization, industrialization, tourism, agricultural productivity, and forest area in Turkey to accomplish environmental sustainability by lowering carbon dioxide emissions. Dynamic Ordinary Least Squares method was used analyze time series data from 1990 2020. results disclosed that a 1% rise tourism will raise emissions 0.39%, 1.22%, 0.24%, 0.02% Turkey, respectively. Furthermore, increase consumption, might result reductions 0.43%, 0.12%, 3.17%, This article made policy recommendations on low-carbon economies, sustainable green eco-friendly climate-smart agriculture, management, all which could help Graphical

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 economic growth, energy use, agricultural productivity, and carbon dioxide emissions: new evidence from Nepal

Energy Nexus, Journal Year: 2022, Volume and Issue: 7, P. 100113 - 100113

Published: July 15, 2022

Global climate change, exacerbated by greenhouse gas (GHG) emissions, notably carbon dioxide (CO2) provides huge risks to the environment, development, and sustainability. This study empirically investigated dynamic impacts of economic growth, fossil fuel energy use, renewable agricultural productivity on CO2 emissions in Nepal. Time series data from 1990 2019 were utilized applying autoregressive distributed lag (ARDL) bounds testing approach followed Dynamic Ordinary Least Squares (DOLS) method. The ARDL test revealed evidence cointegration among variables. DOLS findings that an increase growth use 1% for each variable would 0.61% 0.67%, respectively. Conversely, a may lead reduction 3.65% 0.41% long run. estimated results are robust alternative estimators such as fully modified least squares (FMOLS) canonical cointegrating regression (CCR). In addition, pairwise Granger causality was capture causal linkage between article put forward policy recommendations aimed at sustainable development establishing strong regulatory instruments reduce environmental degradation.

Language: Английский

---

Nexus between economic growth, energy use, urbanization, agricultural productivity, and carbon dioxide emissions: New insights from Bangladesh

Energy Nexus, Journal Year: 2022, Volume and Issue: 8, P. 100144 - 100144

Published: Sept. 19, 2022

Greenhouse gases (GHGs) emissions, notably carbon dioxide (CO2) emissions are causing global climate change, which poses enormous hazards to human life, the environment, development, and sustainability. Bangladesh is predominantly an agricultural country experiencing continuous economic growth rapid urbanization higher energy consumption CO2 emissions. The present study empirically explores nexus between growth, use, urbanization, productivity, in Bangladesh. Time series data from 1972 2018 were utilized by employing Dynamic Ordinary Least Squares (DOLS) approach. Autoregressive Distributed Lag (ARDL) bounds test revealed evidence of cointegration among variables long run has been verified Johansen Engle-Granger test. empirical findings reveal that reduced productivity increase estimated results robust alternative estimators such as fully modified least squares (FMOLS), canonical cointegrating regression (CCR). In addition, pairwise Granger causality capture causal linkage variables. This adds current body knowledge shining light on factors contribute environmental degradation article put forward policy recommendations aimed at sustainable development establishing strong regulatory instruments reduce degradation.

Language: Английский

---