Journal of the Knowledge Economy, Год журнала: 2024, Номер unknown
Опубликована: Июль 4, 2024
Язык: Английский
Stochastic Environmental Research and Risk Assessment, Год журнала: 2024, Номер 38(5), С. 1685 - 1699
Опубликована: Янв. 19, 2024
Язык: Английский
Процитировано
32
Environmental and Sustainability Indicators, Год журнала: 2023, Номер 19, С. 100289 - 100289
Опубликована: Авг. 19, 2023
Life expectancy is critical in determining living conditions modern societies, making it a vital focus for policymakers. This research employs panel quantile regression model (ranging from 0.05 to 0.95) Asian countries 2000 2018. The study investigates the impact of economic growth, renewable and non-renewable energy consumption, carbon emissions, government health services on life expectancy. findings reveal that growth affects only at 0.95th quantiles while negatively influencing lower medium quantiles. Conversely, emissions have significant adverse effect across all Hydroelectricity low high quantiles, except quantile. On other hand, higher levels petroleum liquids intake demonstrate positive effects Government-provided healthcare significantly improves lowest middle but its diminishes highest These underscore importance fostering productivity through improved organizational structures. Simultaneously, efforts toward environmental sustainability clean sources are essential thriving ecosystem. Yet, effective use technical endeavors ensuring ecosystem as part establishing form sources.
Язык: Английский
Процитировано
24
Sustainable Futures, Год журнала: 2024, Номер 8, С. 100258 - 100258
Опубликована: Авг. 6, 2024
To effectively address climate change, economies worldwide must transition from grey, fossil fuel–dependent models to green, renewable energy–based systems, thereby striving reduce global warming. However, a comparative study of how internal and external macro-economic dynamics influence both grey green energy sources remains significantly underexplored. This examines the effects aggregated, non-renewable on economic growth. Therefore, this investigates connection between aggregated disaggregated consumption (renewables non-renewables) growth in Canada by incorporating determinants, along with institutional quality, which are variables during period 1990–2022. Using dynamic autoregressive distributed lag (DARDL) approach, study's results reveal that stimulate presence short long terms. relationship is stronger context than ones. In addition, we conduct counterfactual analysis displaying 1% (±) 5% shocks regressors examining their regressed variable. Finally, use kernel-based regularised least squares (KRLS) machine learning algorithm examine cause-and-effect connectedness among variables. On basis findings, recommends optimising adopting diversified mix strategy. approach will enable towards sustainable resilient future.
Язык: Английский
Процитировано
10
Sustainable Futures, Год журнала: 2024, Номер 7, С. 100156 - 100156
Опубликована: Янв. 15, 2024
This study examines the AI investment (AII)-human well-being (HWBG) nexus contingent on governance indicators/dimensions within G-7 nations from 2012 to 2022 using Cross-Sectional Augmented Autoregressive Distributed Lag (CS-ARDL) technique. Based these results, policymakers should prioritize integrating AII into boost HWBG in short- and long-term. However, caution is needed when considering AII's interaction with institutional governance, as it didn't support HWBG. While overall quality seem promising, it's vital implement safeguards against potential negative effects stemming between
Язык: Английский
Процитировано
9
Journal of International Trade & Economic Development, Год журнала: 2025, Номер unknown, С. 1 - 27
Опубликована: Фев. 6, 2025
Язык: Английский
Процитировано
1
Research in Globalization, Год журнала: 2023, Номер 7, С. 100173 - 100173
Опубликована: Ноя. 18, 2023
This study examines the moderating role of institutional quality and its threshold in African financial development-economic complexity nexus. objective follows argument that influences system's efficiency allocating resources to innovative initiatives activities increase productivity knowledge technical capabilities an economy's production system produce complex products exports. To achieve these objectives, this adopts novel robust approaches such as generalized method moments (GMM), Driscoll-Kraay nonparametric covariance matrix estimator (DK), quantile regression, a dynamic panel analyze annual dataset 29 countries covering 1995-2020. establishes persistent evidence interdependence, intertwining, heterogeneity among countries. In addition, affirms long-run relationships variables through various estimators. Both mean-based (GMM DK) regressions consistently demonstrate development separately enhance Africa's economic across quantiles. contrast, drains development's contribution when coefficients are significant. The moment-quantile regression reveals complements support from 10th 30th quantiles, but insignificant. estimation confirms nonlinearity estimate is 5.73 on ordinal scale 10. On average, only six exceed threshold, while others operate below benchmark. Based findings, systems within weak frameworks. These phenomena allow rent-seeking, opportunism, corruption, sharp practices, which divert investments research development, human capital technology, high-tech infrastructure, entrepreneurial innovation. As result, impairs sector's ability spur upgrades. economies need better architectures maximize benefits upgrading complexity. policy implications recommendations more relevant settings situations. Thus, other scholars encouraged conduct similar for continents enrich study's outcomes. following highlights novelties: 1.) best authors' knowledge, first examine nexus Africa using estimators account cross-sectional dependence, distributional effects, heterogeneous effects (the (DK) moment regression). 2.) Unlike earlier research, We propose structures govern be examined trimmed. move helps phase out inherent inadequacies drain contributions
Язык: Английский
Процитировано
20
EPRA International Journal of Economics Business and Management Studies, Год журнала: 2024, Номер unknown, С. 27 - 38
Опубликована: Фев. 9, 2024
Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize decision making across various domains. This research article explores impact of AI in and its implications for individuals, organizations, society. The begins by providing an overview key components, such machine learning natural language processing. It then discusses role enhancing decision-making processes automating tasks, augmenting human capabilities, data-driven insights. highlights benefits improving accuracy, efficiency, scalability, while also acknowledging challenges risks associated implementation. These include ethical considerations, biases algorithms, job displacement. further importance transparency, accountability, interpretability systems. Additionally, it human-AI collaboration need interdisciplinary approaches ensure responsible deployment making. Drawing on case studies empirical research, provides concrete examples how is transforming fields, finance, healthcare, transportation. Finally, concludes discussing future directions recommendations policymakers, individuals harness full addressing ethical, social, economic implications. KEYWORDS: Intelligence, Decision Making, Machine Learning, Automation, Augmentation, Ethical Considerations, Bias, Transparency, Human-AI Collaboration, Responsible AI.
Язык: Английский
Процитировано
7
Journal of Applied Economics, Год журнала: 2024, Номер 27(1)
Опубликована: Фев. 24, 2024
Язык: Английский
Процитировано
5
Journal of the Knowledge Economy, Год журнала: 2024, Номер unknown
Опубликована: Июнь 8, 2024
Язык: Английский
Процитировано
5
Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(46), С. 102374 - 102388
Опубликована: Сен. 4, 2023
Язык: Английский
Процитировано
12