Browsing by Author "Binsaeed, Rima H."

Now showing 1 - 7 of 7

Citation - WoS: 1
Citation - Scopus: 2
Do Digitalization and Green Innovation Limit Carbon Emissions? Evidences From BRICS Economies
(Sage Publications Ltd, 2024) Zhang, Hong; Dogan, Eyup; Khan, Zeeshan; Binsaeed, Rima H.
Rapidly evolving innovation and digitalization have captured the focus of policymakers and scholars regarding their potent role in influencing environmental quality. The present research analyzes the impact of these variables on the carbon emissions of Brazil, Russia, India, China, and South Africa economies from 1990 to 2021. This research also explores the impact of economic growth, quadratic green innovation, and green energy on carbon emissions. Using several panel diagnostic tests, this research validates heterogeneous slopes, the presence of cross-sectional dependence, and significant cointegration. Due to the mixed integration order, this research uses a cross-sectional augmented autoregressive distributed lag model, and the results show that economic expansion and green innovation are significant drivers of emissions in both the short and long run. However, digitalization, quadratic green innovation, environmental policy stringency, and green energy are significant in improving environmental quality and sustainability. The long-term results are tested by employing a series of parametric and nonparametric regressions. This research recommends further investment in environmental research and development, digital technologies, green innovation, and the strengthening of environmental policies to attain sustainable development.
Citation - WoS: 7
Citation - Scopus: 7
The Role of Energy Efficiency, Renewable Resources, Green Innovation, and Fiscal Decentralization in Sustainable Development: Evidence From OECD Countries
(Elsevier Sci Ltd, 2025) Binsaeed, Rima H.; Khan, Zeeshan; Dogan, Eyup; Rahim, Syed
Energy efficiency and renewable resources for sustainable development are novel discussion areas for academics and researchers. Similarly, most developed and emerging countries are experiencing fiscal decentralization to enhance regional development. However, the importance of these sectors in sustainable development is still unclear in the literature. This research investigates the influence of energy efficiency, renewable energy, green innovation, and fiscal decentralization on sustainable development. Using the data for 18 fiscally decentralized OECD countries from 1995 to 2020, the roles of linear and nonlinear green innovation and renewable energy are also considered. This study uses novel moment quantile regression and finds that revenue decentralization, expenditure decentralization, and fiscal decentralization are significant drivers of sustainable development. Additionally, energy efficiency and value-added manufacturing significantly enhance sustainability in the region. However, green innovation and renewables are resources that exhibit a U-shaped association with sustainable development. The robustness of these results is validated via a series of parametric and nonparametric approaches. From the policy perspective, this research suggests improved research and development on renewable energy, green innovation, and energy efficiency could significantly encourage the OECD's journey towards sustainable development. Additionally, subnational governments should be given more fiscal autonomy, which may encourage regional level investments and boost the confidence of clean energy producing sectors to accelerate sustainable regional development.
Citation - WoS: 17
Citation - Scopus: 23
Can Artificial Intelligence and Green Finance Affect Economic Cycles?
(Elsevier Science inc, 2024) Chishti, Muhammad Zubair; Dogan, Eyup; Binsaeed, Rima H.
The COVID-19 recession and the Ukraine-Russia War (URW) crisis have added a new layer of complexity to global economic cycles, necessitating the evolution of economic systems and proactive responses to emerging economic challenges. In this context, the recent article introduces artificial intelligence (AI) as a new driver of economic cycles and analyzes its dynamic role alongside the Belt and Road Initiative (BRI), the Paris Agreement (PA), green finance (GB), and economic shocks (ES) in determining global economic cycles. The article employs novel econometric tools, namely the CAViaR-TVP-VAR model, the Quantile Coherence method, panel Quantile on Quantile Kernel-Based Regularized Least Squares (PQQKRLS), and the Quantile-Quantile Granger causality (QQGC) test for robust findings. The outcomes reveal that AI influences economic cycles in the short run while significantly mitigating these cycles in the medium and long run. Furthermore, the BRI exhibits a positive link with economic cycles during the short and medium run; however, it can contribute to economic stability in the long run by impeding economic fluctuations. Similarly, green finance and the PA show mixed influences across various time horizons, except for the long run, which confirms their negative association with economic cycles. Additionally, ES has a direct link with economic cycles across most periods. The robustness check based on the QQGC test and PQQKRLS method supports the main results. Our results identify AI, BRI, and the PA as new drivers of economic cycles with the potential to counter global economic cycles. Therefore, based on these findings, the study proposes several policy implications tailored to different time horizons.
Impact of Climate Change on Economic Growth in Developing Countries: Unravelling the Moderating Role of Globalization
(Springer, 2024) Ehigiamusoe, Kizito Uyi; Lean, Hooi Hooi; Dogan, Eyup; Binsaeed, Rima H.; Ramakrishnan, Suresh
Though some empirical works have shown the determinants of economic growth, the research work on the impact of climate change (proxied by carbon emissions and ecological footprint) on economic growth is still scanty especially in developing countries. The attainment of the Sustainable Development Goals (SDG-8 and SDG-13) requires a comprehensive analysis of the nexus between climate change and economic growth. Therefore, this study fills the literature gap by investigating the impact of climate change on economic growth in Malaysia (a country that obtains most of her energy from fossil fuels) and Nigeria (a country that obtains most of her energy from renewable resources) during the 1980-2021 period. Given the intricate relationship among climate change, economic growth and globalization, this study also determines the moderating role of globalization (and its dimensions) on the impact of climate change on economic growth. It employs the Autoregressive Distributed Lag approach to estimate the parameters. The linear model shows that climate change has a negative impact on economic growth in Malaysia and Nigeria albeit the magnitude is larger in Malaysia. The interaction model indicates that globalization and some of its dimensions favorably moderate the detrimental impact of carbon emissions on economic growth but cannot moderate the impact of ecological footprint on economic growth in Malaysia and Nigeria. The marginal effect of carbon emissions on economic growth varies with the level of globalization. This study highlights the implications of the findings and proposes some policy options.
Citation - WoS: 6
Citation - Scopus: 4
Towards Global Sustainable Development: The Role of Financial Innovation and Technological Advancements
(Sage Publications Ltd, 2024) Dogan, Eyup; Chishti, Muhammad Zubair; Zaman, Umer; Binsaeed, Rima H.
The importance of metaverse and blockchain technologies in today's global landscape cannot be overstated. These innovative technologies offer transformative potential for various sectors, including economics, by enhancing connectivity, security and transparency. The present study leverages these technologies to investigate their dynamic impacts, in conjunction with geopolitical risk, on global economic cycles to navigate the challenges of an interconnected world. To ensure the reliability of our findings, this study employs two proxies to gauge economic cycles: global green economic growth and global environmental sustainability. By utilizing daily data, this study reveals several noteworthy findings. First, the quantile-var-based network analysis demonstrates a robust directional connection among the variables in our model. Second, the wavelet quantile correlation technique uncovers the significant role of metaverse technology in influencing economic cycles by promoting global green economic growth and global environmental sustainability across all time horizons (short, medium and long term). Third, economic cycles exhibit a negative association with financial innovation and a positive connection with geopolitical risk across all timeframes. Fourth, the continuous wavelet transform causality test identifies a substantial causal relationship running from metaverse technology, financial innovation and geopolitical risk to economic cycles. Based on our empirical results, this study recommends that the global economy should continue investing in metaverse and blockchain technologies to address economic cycles in the future.
Citation - WoS: 10
Citation - Scopus: 11
Unravelling the Moderating Roles of Environmental Regulations on the Impact of Foreign Direct Investment on Environmental Sustainability
(Academic Press Ltd- Elsevier Science Ltd, 2025) Ehigiamusoe, Kizito Uyi; Chen, Danqing; Dogan, Eyup; Binsaeed, Rima H.
In the era of economic globalization, China attracts significant foreign direct investment (FDI) to accelerate economic prosperity. FDI inflows could have ramifications on environmental degradation (ED) despite the enactment of different environmental regulations (ERs) such as market-incentive, command-and-control as well as informal regulations. Though some studies have shown that FDI and ED have significant relationship, the moderating roles of different ERs on the environmental impact of FDI has not been empirically unraveled. This study fills this research gap by analyzing the direct impact of FDI on ED (i.e., carbon dioxide emissions, ecological footprint) using the provincial panel data. Second, it unravels the moderating roles of different ERs on the environmental impact of FDI in the provinces and regions. The results indicate that FDI directly mitigates ED, verifying the pollution halo hypothesis while ERs directly alleviate ED in China. However, the interaction between FDI and ERs do not alleviate ED in China albeit regional heterogeneity exist. The economic implication is that FDI is not a channel through which ERs enhance environmental sustainability in China. This study recommends some policy options arising from the findings.
Citation - WoS: 17
Citation - Scopus: 15
How Does Technological Innovation Moderate the Environmental Impacts of Economic Growth, Natural Resource Rents and Trade Openness
(Academic Press Ltd- Elsevier Science Ltd, 2024) Ehigiamusoe, Kizito Uyi; Dogan, Eyup; Ramakrishnan, Suresh; Binsaeed, Rima H.
The objective of this study is to unravel the linear impacts of economic growth, technological innovation, natural resource rents and trade openness on carbon emissions in Malaysia during 1980-2021. It also unveils the moderating role of technological innovation on the impacts of economic growth, natural resource rents and trade openness on carbon emissions. It further analyses the nonlinear relationship between technological innovation and carbon emissions. It estimates the parameters with the Autoregressive Distributed Lag model technique. The results of the linear model reveal that economic growth, natural resource rents and trade openness contributes to carbon emissions while technological innovation mitigates carbon emissions. The disaggregated analysis of natural resource rents indicates that oil rents, natural gas rents and coal rents intensify carbon emissions while mineral rents and forest rents do not contribute to carbon emissions. The disaggregated analysis of trade openness shows that exports worsen carbon emissions while imports have tenuous effect. The disaggregated analysis of technological innovation indicates that innovation by non-residents mitigate carbon emissions while innovation by residents do not alleviate carbon emissions. Moreover, evidence from the interaction model reveals that technological innovation can favourably mitigate the adverse impacts of economic growth and trade openness on carbon emissions albeit it cannot alleviate the impact of natural resource rents on carbon emissions. Besides, the nonlinear model indicates a U-shaped relationship between technological innovation and carbon emissions. Unlike previous studies that typically focused on the direct impacts of these variables, this study unravels the impacts of the disaggregated components as well as provides insights into the moderating and nonlinear effects of technological innovation on carbon emissions. The implication of this study is that efforts to achieve a carbon-neutral economy should consider the direct and indirect impacts of economic growth, technological innovation, natural resource rents and trade openness. It is recommended for Malaysia to encourage technological innovation in her quest to abate the adverse environmental impacts of economic activities.