Resources Policy, Год журнала: 2024, Номер 90, С. 104829 - 104829
Опубликована: Фев. 22, 2024
Язык: Английский
Resources Policy, Год журнала: 2024, Номер 90, С. 104829 - 104829
Опубликована: Фев. 22, 2024
Язык: Английский
Sustainability, Год журнала: 2023, Номер 15(18), С. 13462 - 13462
Опубликована: Сен. 8, 2023
This study explores the interplay among economic growth, financial globalization, urbanization, fossil fuel consumption, and renewable energy usage their combined impact on load capacity factor in Mexico. research employs as a unique measure of ecological health, facilitating comprehensive ecosystem assessment by sequentially evaluating biocapacity effects. Using time series data spanning from 1971 to 2018, this Autoregressive Distributed Lag (ARDL) method analyze both long-term short-term dynamics cointegration. The findings reveal that usage, urbanization reduce Mexico’s factor, thereby diminishing environmental quality. In contrast, adoption sources influence globalization exhibit positive effects over long short term. These outcomes remain consistent even when compared with alternative estimation techniques, including dynamic ordinary least squares (DOLS), fully modified (FMOLS), canonical cointegrating regression (CCR). As priority, Mexican policymakers should accelerate transition sources, encourage sustainable urban development, foster more ecologically conscious agenda. Furthermore, promoting greener technologies can enhance mitigate degradation. Ultimately, Mexico establish an environment conducive expanding investments encouraging cross-border investments, enabling global trade services, cultivating greater integration capital markets.
Язык: Английский
Процитировано
93World Development Sustainability, Год журнала: 2023, Номер 2, С. 100059 - 100059
Опубликована: Апрель 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
Язык: Английский
Процитировано
85Innovation and Green Development, Год журнала: 2023, Номер 2(4), С. 100085 - 100085
Опубликована: Июнь 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.
Язык: Английский
Процитировано
63Energy Reports, Год журнала: 2023, Номер 10, С. 86 - 98
Опубликована: Июнь 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.
Язык: Английский
Процитировано
55Innovation and Green Development, Год журнала: 2023, Номер 2(3), С. 100066 - 100066
Опубликована: Май 3, 2023
The environmental challenges that have arisen as a result of rapid economic growth become hindrance to social progress. This article examines the effects energy consumption, urbanization, industrialization, development, and technological innovations on South Korea's greenhouse gas (GHG) emissions. Using data from 1990 2021 autoregressive distributed lag (ARDL) method for empirical investigations, findings indicate fossil fuel expansion all pose threat sustainability due their positive impact GHG In contrast, results suggest renewable usage improve by reducing emissions in both short long term. addition, were validated using Fully Modified Ordinary Least Squares (FMOLS), Dynamic (DOLS), Canonical Cointegration Regression (CCR) techniques. most significant contribution is this study provide various policy recommendations achieving net zero Korea.
Язык: Английский
Процитировано
53Innovation and Green Development, Год журнала: 2023, Номер 2(4), С. 100071 - 100071
Опубликована: Май 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
Язык: Английский
Процитировано
50Innovation and Green Development, Год журнала: 2024, Номер 3(3), С. 100139 - 100139
Опубликована: Фев. 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.
Язык: Английский
Процитировано
48Renewable energy focus, Год журнала: 2023, Номер 46, С. 222 - 235
Опубликована: Июнь 26, 2023
This research explores the nexus of economic expansion, population, use renewable energy, democracy, and combined effect democracy GDP on carbon dioxide (CO2) emissions in BRICS countries. We apply an extended STIRPAT model, including variables with GDP, to examine case countries between 1990 2019. Quantile regression methods (Simultaneous, Powell, MM-QR) are applied together Dynamic OLS (DOLS), Fully modified (FMOLS), CCR. The results indicate that size (GDP) population linked increasing levels CO2. Whereas increased sources energy can help reduce environmental degradation. Similarly, interaction good growth is helpful for a sustainable environment. Dumitrescu Hurlin panel causality test highlights bidirectional causal link Democracy, Population CO2, but only unidirectional relationship Policymakers need consider:1) pro-growth policies along better democratic practices, 2) higher promotion resources, 3) improving living standards achieve quality.
Язык: Английский
Процитировано
47Energies, Год журнала: 2023, Номер 16(17), С. 6198 - 6198
Опубликована: Авг. 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.
Язык: Английский
Процитировано
43Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 141020 - 141020
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
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