27 research outputs found
Spatial econometric model of the spillover effects of financial development on carbon emissions: A global analysis
No full textThis study investigates the impact of financial development (FD) on CO2 emissions in the presence of economic growth, industrial growth, and renewable energy consumption. The sample size consists of panel of 89 countries for the period 1992-2014. The empirical analysis has been done by applying spatial econometrics techniques for exploring the spillover effects from the neighboring countries. The results demonstrate that spatial dependency exists among the sample economies. The spatial segregation analysis reveals that both local (direct) and spillover (indirect) financial development effects significantly lower local carbon emissions. Furthermore, the results demonstrate that in developed countries FD lowers the CO2 emissions whereas in developing countries FD increases the carbon emissions. The findings are useful for economic policy makers for devising economic and environment related policies by considering the intensity of FD spatial effects in the local economy's pollution level. The findings of this study are also useful for highlighting the fact that whether local economy's environment improved (or deteriorated) because of its own initiatives (pressure) for (on) environment or due to other country's initiatives (pressure) regarding FD
Spatial Econometric Model of the Spillover Effects of Financial Development on Carbon Emissions: A Global Analysis
No full textThis study investigates the impact of financial development (FD) on CO2 emissions in the presence of economic growth, industrial growth, and renewable energy consumption. The sample size consists of panel of 89 countries for the period 1992-2014. The empirical analysis has been done by applying spatial econometrics techniques for exploring the spillover effects from the neighboring countries. The results demonstrate that spatial dependency exists among the sample economies. The spatial segregation analysis reveals that both local (direct) and spillover (indirect) financial development effects significantly lower local carbon emissions. Furthermore, the results demonstrate that in developed countries FD lowers the CO2 emissions whereas in developing countries FD increases the carbon emissions. The findings are useful for economic policy makers for devising economic and environment related policies by considering the intensity of FD spatial effects in the local economy’s pollution level. The findings of this study are also useful for highlighting the fact that whether local economy’s environment improved (or deteriorated) because of its own initiatives (pressure) for (on) environment or due to other country’s initiatives (pressure) regarding FD.
Environmental sustainability in technologically advanced economies: The role of eco-digitalization, green finance, and green technology
No full textThis study investigates the effects of eco-digitalization, green technology, and green finance on environmental sustainability in the presence of affluence and population. The sample size consists of a panel of 19 technologically advanced economies covering the time span from 1980 to 2023. The econometric model is designed using the STIRPAT framework. The empirical results are based on panel time series analysis. The panel unit root tests illustrate that variables are stationary at the first difference and follow the I (1) order of integration. The panel cointegration test confirms the presence of long-run relationships between the variables. The empirical findings reveal that eco-digitalization, green technology, and green finance help to boost environmental sustainability by reducing carbon emissions and ecological footprints in technologically advanced economies. Furthermore, the empirical investigation proceeds using two major technological phases in the sampled economies. The results reveal heterogeneous effects of technological innovations and population growth on environmental quality across the phases of technological advancement. Our findings are helpful for policymakers, environmentalists, and development practitioners in designing and implementing policies that help mitigate carbon emissions and achieve environmental sustainability
Thermal conductance of interfaces between titanium nitride and group IV semiconductors at high temperatures
No full textThis article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Samreen Khan, Xinping Shi, Joseph Feser, Richard Wilson; Thermal conductance of interfaces between titanium nitride and group IV semiconductors at high temperatures. Appl. Phys. Lett. 22 July 2024; 125 (4): 041601. https://doi.org/10.1063/5.0220124 and may be found at https://doi.org/10.1063/5.0220124.
© 2024 Author(s). Published under an exclusive license by AIP Publishing.
This article will be embargoed until 07/22/2025.Measuring the temperature dependence of material properties is a standard method for better understanding the microscopic origins for that property. Surprisingly, only a few experimental studies of thermal boundary conductance at high temperatures exist. This lack of high temperature data makes it difficult to evaluate competing theories for how inelastic processes contribute to thermal conductance. To address this, we report time domain thermoreflectance measurements of the thermal boundary conductance for TiN on diamond, silicon-carbide, silicon, and germanium between 120 and 1000 K. In all systems, the interface conductance increases monotonically without stagnating at higher temperatures. For TiN/SiC interfaces, ranges from 330 to 1000 MW/m2-K, with a room temperature conductance of 750 MW/m2-K. The interface conductance for TiN/diamond ranges from 140 to 950 MW/m2-K. Notably, for all four interfacial systems, the conductance continues to increase with temperature even after all phonon modes in the vibrationally soft material are thermally excited. This observation suggests that inelastic processes are significant contributors to the thermal conductance in all four interfacial systems, regardless of whether the materials forming the interface are vibrationally similar or dissimilar. Our study fills a notable gap in the literature for how interfacial conductance evolves at high temperatures and tests burgeoning theories for the role of inelastic processes in interfacial thermal transport.This work was supported as part of ULTRA, an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award No. DE-SC0021230
Isolation and Characterization of Agarolytic Bacteria from Marine Environment
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Evaluating the asymmetric effects of nuclear energy on carbon emissions in Pakistan
No full text[[abstract]]Achieving sustainable development requires an increasing share of green technologies. World energy demand is expected to rise significantly especially in developing economies. The increasing energy demands will be entertained with conventional energy sources at the cost of higher emissions unless eco-friendly technologies are used. This study examines the asymmetric effects of nuclear energy on carbon emissions for Pakistan from 1974 to 2019. Augmented Dickey-Fuller (ADF) and Phillips Perron (PP) unit root tests suggest that variables are integrated of order one and bound test of Autoregressive Distributed Lag (ARDL) and nonlinear ARDL confirm a long-run relationship among selected variables. The ARDL, Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS) results show that the coefficient of nuclear energy has a negative and significant impact on emissions in both short and long run. Further, the NARDL finding shows that there exists an asymmetric long-run association between nuclear energy and CO2 emissions. The vector error correction method (VECM) results indicate that there exists a bidirectional causal relationship between nuclear energy and carbon emissions in both the short and long run. Additionally, the impact of nuclear energy on ecological footprint has been examined and our findings remain robust
The role of consumer multiple identities in bank choice in Pakistan.
No full textIdentity via consumption has received much attention in academic research, however fewer studies are found on the role of multiple identities in consumption. This gap becomes wider when it comes to financial services consumption (banking in particular). Further, components of these multiple identities (personal, role and group) are yet to be explored in relation to consumer choice. Therefore, this study aims to contribute to the theory of multiple identities by classifying and defining the components of each consumer multiple identities and exploring the role each of these identities play in consumers’ bank choice. The choice motivation between Islamic and Non-Islamic banks is explored in this regard, where Islamic banks provide the same services as Non-Islamic banks but with an exception of paying/earning any interest. Previous studies have found culture and religion to play a strong role in the formation of multiple identities, thus the author will also investigate the influence of culture (role of family) and religion (religious beliefs, commitment and affiliation) on consumers’ multiple identities and hence on their bank choice. Pakistan is chosen as the context of this study because 1) the presence of Islamic and Non-Islamic banks; 2) Pakistan is a country which was found in the name of religion and thus there is strong presence of religious values in the country; and 3) Pakistan is considered to be an under researched country in the area of consumption, which made it the best suited context for this study. Adopting a qualitative approach, the author conducted 39 semi-structured interviews with Pakistani bank consumers, and the data was analysed thematically using NVIVO 10. Data analyses revealed four key findings. First, religious identity, role of being son/daughter and career identity were the salient consumer identities in relation to bank choice. Second, while defining the components of these multiple identities, the author found that; religious identity was comprised of religious beliefs, role of religion and spirituality. Parents’ happiness, importance of parents and father vs mother made up the role identity of being son/daughter. Whereas moving out, ambitious; future oriented, and making parents proud were grouped under career identity. Third, the role identity of son/daughter was considered to be the most relevant in terms of the consumption of the services of Islamic banks. Fourth, the overlapping nature of cultural and religious influences gave rise to identity conflict in participants’ lives. The author therefore found two types of identity conflict in relation to participants’ bank choice: inter and intra identity conflict. This study contributes to the theory of multiple identities, consumption and financial services literature. First, by investigating different level of identities enacted by consumers via their consumption behaviour. Second, by identifying components of each of these multiple identities. Third, the author discovered a conflict among and between multiple identities, labelled inter and intra identity conflict for the purpose of this study. The fourth contribution to the theory of multiple identities is on what made some identities salient over the others. Similarly, this study also contributes to the existing debate of the precedence of religion over culture and vice versa in the consumption research. Finally, this is one of the first studies to explore the topic of multiple identities in the context of financial services, hence contributing to the consumption literature of banking choice. This study has implications for the banking sector in Pakistan. Islamic banks should design their communication strategies using sound Islamic tangible cues to improve the congruence between their banks and consumers. This will also help to address consumers’ identity conflict. Future research can further explore the identities of Islamic banks and its alignment with consumer identities utilising big sample data
The twin cell model and its excellence in determining the glass transition temperature of thin film metallic glass
No full textEnvironmental Sustainability in Technologically Advanced Economies: The Role of Eco-Digitalization, Green Finance, and Green Technology
No full textThis study investigates the effects of eco-digitalization, green technology, and green finance on environmental sustainability in the presence of affluence and population. The sample size consists of a panel of 19 technologically advanced economies covering the time span from 1980 to 2023. The econometric model is designed using the STIRPAT framework. The empirical results are based on panel time series analysis. The panel unit root tests illustrate that variables are stationary at the first difference and follow the I (1) order of integration. The panel cointegration test confirms the presence of long-run relationships between the variables. The empirical findings reveal that eco-digitalization, green technology, and green finance help to boost environmental sustainability by reducing carbon emissions and ecological footprints in technologically advanced economies. Furthermore, the empirical investigation proceeds using two major technological phases in the sampled economies. The results reveal heterogeneous effects of technological innovations and population growth on environmental quality across the phases of technological advancement. Our findings are helpful for policymakers, environmentalists, and development practitioners in designing and implementing policies that help mitigate carbon emissions and achieve environmental sustainability
Evaluating the asymmetric effects of nuclear energy on carbon emissions in Pakistan
No full textAchieving sustainable development requires an increasing share of green technologies. World energy demand is expected to rise significantly especially in developing economies. The increasing energy demands will be entertained with conventional energy sources at the cost of higher emissions unless eco-friendly technologies are used. This study examines the asymmetric effects of nuclear energy on carbon emissions for Pakistan from 1974 to 2019. Augmented Dickey-Fuller (ADF) and Phillips Perron (PP) unit root tests suggest that variables are integrated of order one and bound test of Autoregressive Distributed Lag (ARDL) and nonlinear ARDL confirm a long-run relationship among selected variables. The ARDL, Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS) results show that the coefficient of nuclear energy has a negative and significant impact on emissions in both short and long run. Further, the NARDL finding shows that there exists an asymmetric long-run association between nuclear energy and CO2 emissions. The vector error correction method (VECM) results indicate that there exists a bidirectional causal relationship between nuclear energy and carbon emissions in both the short and long run. Additionally, the impact of nuclear energy on ecological footprint has been examined and our findings remain robust
