Author: Ahmad, N. H., Saha, A., & Eam, L. H.
Drivers Of Future Savings Of Malaysian Households
Publisher: Journal Of Economics And Sustainability, 2021
Abstract
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The households’ savings in Malaysia have shown a deteriorating trend that negatively impacts their financial security. The Financial Inclusion and Capability Study of BNM (2016) indicates that merely 6 percent of Malaysians could survive for more than six months and 18 percent up to three months if they lose their main source of income. Thus, it is imperative to examine the drivers of future savings of Malaysian households. A sample of 1,106 bank customers in three cities of peninsular Malaysia was recruited, and the descriptive statistics, correlation analysis, and Seemingly Unrelated Regressions (SUR) were employed. The results reveal that about 25 percent of households are not likely to make any changes in their savings profile in various financial and physical assets. The drivers of future saving are found to be socio-demographic parameters, such as age, education level, the number of working members in the household, and income, and other parameters, such as the percentage of income saved, and the period of the saving plan, which have a significant relationship with the change in future savings of the households. The policy implications of the findings are also presented.
https://doi.org/10.32890/jes2021.3.1.1
The households’ savings in Malaysia have shown a deteriorating trend that negatively impacts their financial security. The Financial Inclusion and Capability Study of BNM (2016) indicates that merely 6 percent of Malaysians could survive for more than six months and 18 percent up to three months if they lose their main source of income. Thus, it is imperative to examine the drivers of future savings of Malaysian households. A sample of 1,106 bank customers in three cities of peninsular Malaysia was recruited, and the descriptive statistics, correlation analysis, and Seemingly Unrelated Regressions (SUR) were employed. The results reveal that about 25 percent of households are not likely to make any changes in their savings profile in various financial and physical assets. The drivers of future saving are found to be socio-demographic parameters, such as age, education level, the number of working members in the household, and income, and other parameters, such as the percentage of income saved, and the period of the saving plan, which have a significant relationship with the change in future savings of the households. The policy implications of the findings are also presented.
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Author: Blaney, A
The flesh of imagination: locating materiality in biology inspired visual art
Publisher: Leonardo - MIT Press, 2021
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Author: Divya Balan
Strengthening the India-EU Migration Corridor: The Way Forward.
Publisher: In Neeta Inamdar, Priya Vijaykumar Poojary and Praveen Shetty (eds.), Contours of India-EU Engagements: Multiplicity of Experiences, Manipal University Press, 2021
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Author: Sasi Kiran
Handbook of Ageing, Health and Public Policy
Publisher: Of Cold Baths, Tender Coconuts and Lethal Injections, 2021
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Author: Gaurav Tikhe, Tanvi Joshi, Ashwin Lahorkar, Aamod Sane, Jayaraman Valadi
Feature Selection Using Equilibrium Optimizer
Publisher: Springer, Singapore., 2021
Abstract
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To tackle the problem of the feature selection, the newly introduced algorithm of equilibrium optimization is featured in this paper. The algorithm is inspired from dynamic mass balance inside a control volume. Each agent (particle) updates concentration with best solutions obtained so far leading to equilibrium state, i.e., optimum result. To find effectiveness of the proposed algorithm, it was tested on 13 benchmark datasets from UCI machine learning repository from different domains.
https://doi.org/10.1007/978-981-16-0171-2_29
To tackle the problem of the feature selection, the newly introduced algorithm of equilibrium optimization is featured in this paper. The algorithm is inspired from dynamic mass balance inside a control volume. Each agent (particle) updates concentration with best solutions obtained so far leading to equilibrium state, i.e., optimum result. To find effectiveness of the proposed algorithm, it was tested on 13 benchmark datasets from UCI machine learning repository from different domains.
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Author: Samanta, T
This thing called love
Publisher: The Gerontologist, 2021
Links
https://doi.org/10.1093/geront/gnab076
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Author: Damani, B., and Ghura, A.S.
Innovative approaches to entrepreneurship education at FLAME University in India
Publisher: In: Neck, H.M. and Liu, Y. (Eds), Innovation in Global Entrepreneurship Education - Teaching Entrepreneurship in Practice , 2021
Abstract
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Entrepreneurship and startups have recently increased significantly in India. The government has initiated several measures to boost the startup ecosystem. Most universities in India now offer entrepreneurship as an introductory course. Because most courses at the university level in India are theoretical and classroom-oriented, entrepreneurship is also taught more theoretically. Yet, entrepreneurship education is a practical discipline and cannot be taught in or restricted to the classroom and lecture. Hence, the pedagogical approach of teaching needs to shift from passive learning to more experiential approaches, which is the domain of andragogy and heutagogy, as opposed to pedagogy. FLAME University in Pune, India, has transitioned from the pedagogical approach to andragogical and heutagogical approaches in its series of entrepreneurship courses. This chapter describes the innovative approaches used at FLAME University in entrepreneurship education.
https://doi.org/10.4337/9781839104206.00018
Entrepreneurship and startups have recently increased significantly in India. The government has initiated several measures to boost the startup ecosystem. Most universities in India now offer entrepreneurship as an introductory course. Because most courses at the university level in India are theoretical and classroom-oriented, entrepreneurship is also taught more theoretically. Yet, entrepreneurship education is a practical discipline and cannot be taught in or restricted to the classroom and lecture. Hence, the pedagogical approach of teaching needs to shift from passive learning to more experiential approaches, which is the domain of andragogy and heutagogy, as opposed to pedagogy. FLAME University in Pune, India, has transitioned from the pedagogical approach to andragogical and heutagogical approaches in its series of entrepreneurship courses. This chapter describes the innovative approaches used at FLAME University in entrepreneurship education.
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Author: Shankar, A., and Bapat, D.
A review of caregiver distress in epilepsy in India: Current issues and future directions for research
Publisher: Epilepsy & Behaviour, 2021
Links
https://doi.org/10.1016/j.yebeh.2021.107787
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Author: Aheer, V., Varma, M., Mal, H.
Carbon footprints and identification of ways to reduce it for Pharma Industries in Maharashtra
Publisher: International Journal of Pharmaceutical Research, 2021
Abstract
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Pharmaceutical sector is one of the largest industrial sectors in India and has been a power intensive industry. In addition to this, it is one of the largest employments generating industry, having said so it is also one of the largest contributors to the Carbon emissions in the environment. With increase in global demand the production capacities have been increased but many of the sectors continue to operate on the similar model as theyused to operate in the past decade, which is not the sustainable model in the long runespecially in lieu of the global warming and deteriorating climatic conditions. In continuation to the earlier study carried out on “Market Analysis of Energy Management in Pharmaceuticals and Steel Industry in Maharashtra” - ISSN NO : 2249-7455. This article studies the possibilities for deployment of new and clean energy for bulk power consuming industry likePharmaceuticals Sector, which can help them reduce carbon emission in addition to cost reduction of their power requirement.
https://doi.org/10.31838/ijpr/2020.12.03.484
Pharmaceutical sector is one of the largest industrial sectors in India and has been a power intensive industry. In addition to this, it is one of the largest employments generating industry, having said so it is also one of the largest contributors to the Carbon emissions in the environment. With increase in global demand the production capacities have been increased but many of the sectors continue to operate on the similar model as theyused to operate in the past decade, which is not the sustainable model in the long runespecially in lieu of the global warming and deteriorating climatic conditions. In continuation to the earlier study carried out on “Market Analysis of Energy Management in Pharmaceuticals and Steel Industry in Maharashtra” - ISSN NO : 2249-7455. This article studies the possibilities for deployment of new and clean energy for bulk power consuming industry likePharmaceuticals Sector, which can help them reduce carbon emission in addition to cost reduction of their power requirement.
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Author: Damani, B and Uniyal, D.
Creating Centres of Economic Activity to De-Risk from Future Pandemics
Publisher: In: The New Normal: Challenges of Managing Business, Social and Ecological Systems in the Post COVID-19 Era, Bloomsbury Publishing, 2021
Links
https://www.bloomsbury.com/in/the-new-normal-9789354350795/
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Author: Divya Balan
Dharma in America: a short history of Hindu-Jain diaspora
Publisher: South Asian Diaspora, 2021
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The academic study of the global Indian diaspora has made an extraordinary leap over time. However, studies on certain specific religious communities like the Jains, Indian Buddhists or the Dalits.
https://doi.org/10.1080/19438192.2021.1909906
The academic study of the global Indian diaspora has made an extraordinary leap over time. However, studies on certain specific religious communities like the Jains, Indian Buddhists or the Dalits.
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Author: Wescott, H. N., MacLachlan, M., & Mannan, H.
Disability Inclusion and Global Development: A Preliminary Analysis of the United Nations Partnership on the Rights of Persons with Disabilities programme within the context of the Convention on the Rights of Persons with Disabilities and the Sustainable
Publisher: Disability, CBR & Inclusive Development, 2021
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This paper provides a preliminary snapshot of the proposed priorities approved by the United Nations programme designated to support the progressive realisation of the CRPD, the United Nations Partnership on the Rights of Persons with Disabilities (UNPRPD) outlined by specific Convention Articles and, more broadly, the Sustainable Development Goals (SDGs). Method:A content analysis of project proposal summaries approved for funding by the UNPRPD was conducted against the CRPD and SDGs. A matrix of data was produced to draw links between proposed objectives and established international frameworks guiding global development.
http://doi 10.47985/dcidj.397
This paper provides a preliminary snapshot of the proposed priorities approved by the United Nations programme designated to support the progressive realisation of the CRPD, the United Nations Partnership on the Rights of Persons with Disabilities (UNPRPD) outlined by specific Convention Articles and, more broadly, the Sustainable Development Goals (SDGs). Method:A content analysis of project proposal summaries approved for funding by the UNPRPD was conducted against the CRPD and SDGs. A matrix of data was produced to draw links between proposed objectives and established international frameworks guiding global development.
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Author: Phillott, A., Godfrey, M.H.
Distinguishing between fertile and infertile sea turtle eggs
Publisher: Marine Turtle Newsletter, 2021
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Author: Abdulazeez Y.H., Saif-Alyousfi, Saha, A.
Do tourism receipts affect bank profitability? Analytical evidence from 85 economies
Publisher: Research in International Business and Finance, 2021
Abstract
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Using data from 17,077 banks in 85 tourism economies during 1995–2016, this study analyzes the impact of international tourism receipts on banks’ profitability and hence financial stability. This study uses two-step system dynamic generalized method of moments estimator techniques to find that the tourism receipts are received through both direct and indirect channels and adversely affect bank profitability. Developing and low-income countries experience the greatest negative impact on profitability. Banks in European countries suffer the highest negative impact, whereas those in the United States are affected the least. Commercial and savings banks experience the highest negative impact of tourism. The findings of the study emphasize prudence in fiscal spending in countries where tourism constitutes a significant part of government revenue. The deleterious impact of COVID-19 on the flow of tourism revenue is likely to affect bank profitability and financial stability of the countries dependent on tourism. Therefore, it is of great significance to policy planners worldwide. The study also opens new vistas for research.
https://doi.org/10.1016/j.ribaf.2021.101437
Using data from 17,077 banks in 85 tourism economies during 1995–2016, this study analyzes the impact of international tourism receipts on banks’ profitability and hence financial stability. This study uses two-step system dynamic generalized method of moments estimator techniques to find that the tourism receipts are received through both direct and indirect channels and adversely affect bank profitability. Developing and low-income countries experience the greatest negative impact on profitability. Banks in European countries suffer the highest negative impact, whereas those in the United States are affected the least. Commercial and savings banks experience the highest negative impact of tourism. The findings of the study emphasize prudence in fiscal spending in countries where tourism constitutes a significant part of government revenue. The deleterious impact of COVID-19 on the flow of tourism revenue is likely to affect bank profitability and financial stability of the countries dependent on tourism. Therefore, it is of great significance to policy planners worldwide. The study also opens new vistas for research.
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ABDC B
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SCOPUS®
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Q1
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Author: Chowdhury, J.R., Parida, Y., and Goel, P.A.
Does inequality adjusted human development reduce the imoact of natural disasters? A genedered perspective
Publisher: World Development, 2021
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This paper examines how inequality-adjusted human development (IHD) helps minimize male and female flood fatalities across 19 Indian states between 1983 and 2013. We investigate if a higher achievement in the IHD index has affected male and female flood deaths differently while controlling for direct spending on disaster adaptation measures and socio-political factors. The empirical results suggest that Indian states with better IHDI score experience lower flood fatalities in aggregate. A 10% increase in IHDI at the sample mean results in the probability of 38 fewer total deaths from floods. Furthermore, we find a gender-differentiated impact of disasters as males suffer fewer flood fatalities than females with a rise in IHDI. The findings suggest that an additional 10% increase in IHDI at the sample mean results in the probability of 26 fewer male deaths from floods, and the same 10% rise in IHDI shows the probability of 12 fewer female deaths due to floods. Women’s involvement in social, political, and economic decision-making measured through women’s participation in voting in elections, grant them access to flood mitigation and aversion measures, which can reduce the impact of a disaster. However, the current participation rate is not adequate to reduce female flood mortality substantially. Women’s socially constructed responsibilities impose constraints on their participation in activities outside the household, including their mobility to the non-agricultural sector, and therefore, reduce access to warning information, which can increase vulnerability to disasters.
https://doi.org/10.1016/j.worlddev.2021.105394
This paper examines how inequality-adjusted human development (IHD) helps minimize male and female flood fatalities across 19 Indian states between 1983 and 2013. We investigate if a higher achievement in the IHD index has affected male and female flood deaths differently while controlling for direct spending on disaster adaptation measures and socio-political factors. The empirical results suggest that Indian states with better IHDI score experience lower flood fatalities in aggregate. A 10% increase in IHDI at the sample mean results in the probability of 38 fewer total deaths from floods. Furthermore, we find a gender-differentiated impact of disasters as males suffer fewer flood fatalities than females with a rise in IHDI. The findings suggest that an additional 10% increase in IHDI at the sample mean results in the probability of 26 fewer male deaths from floods, and the same 10% rise in IHDI shows the probability of 12 fewer female deaths due to floods. Women’s involvement in social, political, and economic decision-making measured through women’s participation in voting in elections, grant them access to flood mitigation and aversion measures, which can reduce the impact of a disaster. However, the current participation rate is not adequate to reduce female flood mortality substantially. Women’s socially constructed responsibilities impose constraints on their participation in activities outside the household, including their mobility to the non-agricultural sector, and therefore, reduce access to warning information, which can increase vulnerability to disasters.
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ABDC : A
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SCOPUS®
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Q1
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Author: Sarawathi, S.K, Bhosale, H., Ovhal, P., Rajan, N.P., and Valadi, J.
Random Forest and Autoencoder Data-Driven Models for Prediction of Dispersed-Phase Holdup and Drop Size in Rotating Disc Contactors
Publisher: Industrial & Engineering Chemistry Research, 2021
Abstract
Linear regression models are traditionally used to capture the relation between the input and output variables. Linear models cannot account for the nonlinear relations in the data. Hence, the prediction models may not be accurate. For this reason, machine learning-based models are being increasingly used. For modeling, design, and scale-up of rotating disc contactors (RDCs), rational estimation of dispersed-phase holdup and drop size is crucial. We have employed random forest (RF) and autoencoder–RF-based models for the prediction of dispersed-phase holdup and drop size in RDCs. Our results show that both these models predict drop size quite well. For holdup, the autoencoder–RF combination predictions are not satisfactory. The standalone RF model predictions generalize very well. RF-based models can be further used for prediction of different variables of interest in RDCs.
Linear regression models are traditionally used to capture the relation between the input and output variables. Linear models cannot account for the nonlinear relations in the data. Hence, the prediction models may not be accurate. For this reason, machine learning-based models are being increasingly used. For modeling, design, and scale-up of rotating disc contactors (RDCs), rational estimation of dispersed-phase holdup and drop size is crucial. We have employed random forest (RF) and autoencoder–RF-based models for the prediction of dispersed-phase holdup and drop size in RDCs. Our results show that both these models predict drop size quite well. For holdup, the autoencoder–RF combination predictions are not satisfactory. The standalone RF model predictions generalize very well. RF-based models can be further used for prediction of different variables of interest in RDCs.
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Author: Budhiraja, B., Pathak, P., Agarwal, G., Sengupta, R
Satellite and Ground Estimates of Surface and Canopy Layer Urban Heat Island-Comparison and Caveats
Publisher: International Journal of Applied Geospatial Research, 2021
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Author: Thakur, B., Chakraborty, T., and Ghosh, A,K.
The Impact of Exposure to Air Pollutants among Traffic Police in Bihar
Publisher: Ecology, Economy and Society—the INSEE Journal, 2021
Links
https://doi.org/10.37773/ees.v4i1.112
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Author: Downey, ….., Phillott
Training future generations to deliver evidence-based conservation and ecosystem management
Publisher: Ecological Solutions and Evidence, 2021
Links
https://doi.org/10.1002/2688-8319.12032
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Author: Abdulazeez Y.H., Saif-Alyousfi, Saha, A.
The Impact of Covid-19 and non-pharmaceutical interventions on energy returns worldwide
Publisher: Journal of Sustainable Cities and Societies, 2021
Abstract
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The COVID-19 pandemic has caused an unprecedented global economic and social crisis, triggering various interventions by governments across geographic regions. The pandemic is significantly affecting all aspects of life, including the energy sector. In this paper, we investigate the bearing of COVID-19 and non-pharmaceutical interventions on the energy returns across 104 global energy indices in 34 countries over the period 1 January to 1 November 2020. Our analyses show that the daily growth in both confirmed cases and cases of death caused by COVID-19 has significant negative direct effects on global energy returns. We also find evidence that various non-pharmaceutical interventions have a significant impact on global energy returns. More specifically, we find that workplace closure and restrictions on internal movement have a positive and significant impact on global energy returns. In contrast, cancellation of public events, closing down public transport, and public information campaigns have a negative and significant impact on them. School closures and international travel controls are, however, negative but insignificant. For energy security, the cornerstone of every economy, our results support the argument for the urgent need for massive investment in the energy sector to boost economic activities, create sustainable jobs, and ensure the resilience of the economies hit by the pandemic.
https://doi.org/10.1016/j.scs.2021.102943
The COVID-19 pandemic has caused an unprecedented global economic and social crisis, triggering various interventions by governments across geographic regions. The pandemic is significantly affecting all aspects of life, including the energy sector. In this paper, we investigate the bearing of COVID-19 and non-pharmaceutical interventions on the energy returns across 104 global energy indices in 34 countries over the period 1 January to 1 November 2020. Our analyses show that the daily growth in both confirmed cases and cases of death caused by COVID-19 has significant negative direct effects on global energy returns. We also find evidence that various non-pharmaceutical interventions have a significant impact on global energy returns. More specifically, we find that workplace closure and restrictions on internal movement have a positive and significant impact on global energy returns. In contrast, cancellation of public events, closing down public transport, and public information campaigns have a negative and significant impact on them. School closures and international travel controls are, however, negative but insignificant. For energy security, the cornerstone of every economy, our results support the argument for the urgent need for massive investment in the energy sector to boost economic activities, create sustainable jobs, and ensure the resilience of the economies hit by the pandemic.
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