The influences of renewable energy, globalization, technological innovations, and forests on emission reduction in Colombia

Innovation and Green Development, Journal Year: 2023, Volume and Issue: 2(4), P. 100071 - 100071

Published: May 31, 2023

The utilization of fossil fuels and deforestation are the primary causes global warming climate change. Innovation is therefore essential to achieve green energy sustainable development. As part Paris Agreement, Colombia has pledged cut 51% its emissions by 2030 net zero 2050. Thus, present study examined emission reduction potential economic growth, renewable utilization, globalization, technological innovations, forests in employing Dynamic Ordinary Least Squares (DOLS) technique utilizing time series data from 1990 2020. empirical results revealed that a rise growth connected with boost emissions, while consumption energy, technical innovation, forest cover might Colombia's carbon long run. Furthermore, credibility test was conducted total greenhouse gas as other measurements reduction. DOLS stable applying fully modified least squares (FMOLS) canonical cointegrating regression (CCR) techniques. This article includes policy ideas aiming at low-carbon economy, promotion financing management meet goal

Language: Английский

---

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

---

The interrelationship amid carbon emissions, tourism, economy, and energy use in Brazil

Carbon Research, Journal Year: 2024, Volume and Issue: 3(1)

Published: Feb. 1, 2024

Abstract Tourism serves as a crucial means of funding national development and ensuring the sustainability local livelihoods in growing countries such Brazil. Nevertheless, accelerated growth tourism various nations might lead to significant environmental consequences due heightened energy consumption. This surge usage contributes exacerbation global warming through amplified release carbon dioxide (CO 2 ). In light increasingly evident impacts climate change on natural environment, multitude endeavors have been undertaken with aim attaining ecological sustainability. The objective this study is examine dynamic effects economic growth, consumption, emissions Brazil by analyzing time series data spanning from 1990 2019. stationarity was assessed application unit root tests, while an autoregressive distributed lag (ARDL) approach employed analyze relationship between components, accounting for both long-term short-term dynamics. empirical results indicate that 1% rise tourist arrivals leads deterioration causing respective increase CO 1.37%, 1.06%, 0.57% near term, 0.72%, 0.62%, 0.16% long term. article presents policy ideas aimed at achieving neutrality increasing utilization renewable sources, simultaneously fostering sustainable enhance country’s economy. Highlights •This investigated tourism-economy-energy-environment nexus •The econometric analysis revealed tourism, use, emissions. offers suggestions achieve neutrality. Graphical

Language: Английский

---

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

---

Carbon Emission Dynamics in India Due to Financial Development, Renewable Energy Utilization, Technological Innovation, Economic Growth, and Urbanization

Journal of Environmental Science and Economics, Journal Year: 2022, Volume and Issue: 1(4), P. 36 - 50

Published: Dec. 19, 2022

Concerns about climate change, emission reduction, and environmental sustainability have become crucial in accomplishing long-term development goals. The present study explored the dynamic effects of financial development, renewable energy utilization, technological innovation, economic growth, urbanization on carbon dioxide (CO2) emissions India. This investigation quantifies short- long-run dynamics using time series data from 1990 to 2020 an Autoregressive Distributed Lag (ARDL) model. outcomes ARDL analysis revealed a positive significant effect CO2 In contrast, both coefficients for utilization innovation are negative statistically significant, suggesting that expanding these variables will lead lower emissions. findings were validated by employing Fully Modified Ordinary Least Squares (FMOLS), Dynamic (DOLS), Canonical Cointegration Regression (CCR) methods. research provides novel add current literature may be special relevance policymakers country because role system plays concerns.

Language: Английский

---