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COVID-19 pandemic and trade flows: empirical evidence from selected Asian Pacific countries
Purpose: This paper aims to investigate the effects of the COVID-19 crisis on trade flows in Asia Pacific countries and explores the causality between COVID-19-related shocks and trade. Design/methodology/approach: The authors used two novel techniques, namely, two-stage instrumental-variables (2SIV) approach and Juodis, Karavias and Sarafids (JKS) causality test, to examine trade dynamics in the Asia Pacific region during the pandemic. Findings: Using the monthly trade data of 17 Asia Pacific countries between January 2020 and December 2021, the results were threefold. Firstly, the empirical analysis showed that during the COVID-19 crisis, the flow of exports tended to persist idiosyncratically in comparison to the flow of imports. In particular, a specific finding was that the persistence level in exports was about 20%25% higher than that in imports. Secondly, the authors found that the past values of COVID-19 cases and COVID-19 deaths contain information that helps to predict exports/imports over and above the information contained in the past values of exports/imports alone. Finally, the study established that the government response and stringency indexes have a Granger-causal relationship with exports and imports. Research limitations/implications: For the foreseeable future, these findings have significant policy ramifications. Firstly, if a COVID-19 crisis-like situation emerges in the future, it will be critical for countries to maintain their competitiveness throughout the crisis, like the COVID-19 pandemic, while also rebuilding trade relationships wherever possible. Secondly, because information about government responses and measures can also be used to predict future trade flows, prudent management of government responses and stringent measures will be necessary in a crisis like COVID-19 to achieve the optimum level of exports and imports. At the same time, the trading partners should give up the idea of trade protection and focus on finding a way to balance the conflicting needs of imports and exports. Originality/value: To the best of the authors knowledge, the authors, for the first time, used a 2SIV approach and JKS causality test to examine trade dynamics in the Asia Pacific region during the pandemic. In addition, the authors present the first comprehensive analysis of the evolving relationships between export and import flows and governmental policy responses under COVID-19. As a result, it contributes uniquely to both public and international economics. 2023, Emerald Publishing Limited. -
COVID-19 pandemic, risk-reduction strategies and crisis management in the travel insurance sector
Travel has always been considered to be a risky affair as there are multiple uncertainties associated with it. Though the tourism industry has developed sophisticated methods to manage these risks, there are still certain uncontrollable and unforeseen circumstances that might affect the physical, emotional, and mental state of travellers. The result would be a huge financial burden for the traveller and increased frustration towards the tour operator. The concept of travel insurance was introduced to relieve travellers of such unforeseen risks while travelling. Moreover, the Covid 19 pandemic has instilled a sense of fear and doubt among the minds of travellers which affects their travel decision-making to a large extent. Destinations and tourism suppliers have introduced various risk reduction strategies and methods to resolve this issue. This paper focuses on understanding the concept of risk associated with travel, the various dimensions of risk management, and the key strategies adopted by tour operators and suppliers to minimize such risks. 2023 Nova Science Publishers, Inc. All rights reserved. -
Covid-19 pandemic: How do the family businesses in India cope with the crisis?
The Covid-19 pandemic brought about a major economic breakdown throughout the world due to the shutting down of businesses and organizations. Covid-19 took a toll on India also, the second-most populous country. In India, family-run businesses are the deep-rooted, oldest, and most widespread form of business ownership. Most family businesses, while keeping the welfare of their customers, employees, and communities in mind, have resorted to remote work and halting non-essential work. The government of India took measures mainly consisting of an increased moratorium period, corporate tax cuts, lower interest on delayed tax payments, extension in return filing deadline, and other policy decisions. This study discusses the impact of Covid-19 on family businesses and how family businesses cope with the shock to the system. In addition, it covers innovative and strategic solutions adopted by the family businesses as a shield to their business against the impact of the crisis and to grow progressively overcoming the pandemic situation. 2023, IGI Global. -
COVID-19 Pandemic: Review on Emerging Technology Involvement with Cloud Computing
Cloud computing is the latest technology that has a significant influence on everyones life. During the COVID-19 crisis, cloud computing aids cooperation, communication, and vital Internet services. The pandemic situation made the people switch to online mode. The technology helped to bridge the gap between the work space and personal space. A quick evaluation of cloud computing services to health care is conducted through this study in COVID situation. A short overview on how cloud computing technologies are critical for addressing the current predicament has been held. The paper also discusses distant working of cloud computing in health care. Moreover, cloud infrastructure provides a way to connect with different aid personnel. The patient data can be transferred to the cloud for monitoring, surveillance, and diagnosis. Thus, health care is provided instantaneously to all the individuals. Additionally, the study addresses the privacy and security-related issues with appropriate solutions. The paper also briefs on the different kind of services are provided by different CSPs that are cloud service providers to confront this epidemic. This article primarily focuses on cloud computing technology involvement in COVID, and secondary focus is on other technology like blockchain, drones, machine learning and Internet of things in COVID-19. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Covid-19, macroeconomic policies, and analysis of the inflation-unemployment dynamics in india
Indian economy could largely withstand the adversities of 2008 recession, the signs of a downturn were clearer by 2017 following the arrival of twin policies, Demonetization as well as the Goods and Services Tax. The COVID-19 pandemic has deepened the crisis leading to a significant reduction in production and total expenditure. Although India has resorted to a combination of conventional policies monetary as well as fiscal injections to face the economic crisis, it has had serious negative consequences on production and employment. We investigate the nature of relationship between inflation and unemployment during the recession and the pandemic times using the non-linear regression analysis. The results reveal that the recessionary phase has given way to a stagflationary situation owing to inflation persistence in the short run. We suggest the usefulness of a more comprehensive term structure strat?gy to deal with the adverse supply shocks and policy failures. Indian Institute of Finance. -
COVID-19, religious events, and indian tourism recovery: Prospects and paradoxes
The chapter delves into three objectives. Firstly, the chapter aims to find out the intersectionalities of religious events and the Indian tourism industry. For the second objective, the impact of the COVID-19 disease on religious events will be briefly discussed. Lastly, this work will discuss the various emergent prospects, themes, trends, and challenges that will emerge on the paths of the recovery of religious events and pilgrimage tourism post-COVID-19. This work is theoretical in nature and can be classified as a viewpoint article that follows a conceptual research design. Copyright 2023, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. 2023 by IGI Global. All rights reserved. -
COVID-19: Trend analysis for market arrival of green gram in India
The unprecedented crisis hovering over the world due to Covid-19 pandemic has structurally impacted every sector of the world economy. This paper attempts to study the impact of ongoing pandemic in the agricultural sector specific to pulses in India. This paper finds that there is a significantly negative impact of Covid-19 on the pulses market. The market arrival of pulses has declined in the recent period while market demand for pulses has increased, therefore, there exists a supply side shortage for pulses in the domestic economy of India. This paper suggests that Government of India (Agriculture Department) urgently needs to deal with this shortage in supply of domestic pulses in "mandis" (agricultural markets). In this paper market arrival for pulses particularly green gram (Moong whole) has been forecasted for the next few months in Indian Agricultural Markets with the forecasting techniques such as Auto Regressive Integrated Moving Average (ARIMA) model and Artificial Neural Network (ANN) technique for pre and during pandemic period by using the arrival data in agriculture markets of India from Agmarknet. The results of this study using ARIMA models and ANNs have been compared to obtain the final conclusions with higher visibility in forecasting performance, which shows that there will be a sharp decline in market arrival with an average arrival of 494 quintals per day which can be maximized up to 623 quintals per day by stimulating the modal price at maximum possible point. Therefore, the urgent need of upscaling the technical efficiency of the farmers in different agro-climatic zones is needed to meet the domestic demand with domestic supply. 2020 DAV College. All rights reserved. -
Coyote optimization algorithm for optimal allocation of interline Photovoltaic battery storage system in islanded electrical distribution network considering EV load penetration
In current times, there is a need to do power system planning to endure situations of any kind. An islanding operation is one such unavoidable situation that may be required in many cases for both technical and economic reasons. First and foremost, this paper focuses on the determination of the best allotment of Interline-Photovoltaic (I-PV) system as per Electric Vehicle (EV) load penetration in the network. With different operational constraints, a multi-objective optimization using real power loss and voltage deviation index is formulated and solved using the Coyote Optimization Algorithm (COA).The paper highlights the computational efficiency of COA with Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO), in addition to various literary works, and the results suggest the superiority of COA by its global optima. The required battery energy storage system (BESS) capacity for supplying an islanded network's entire load demand for a day is determined in the second stage. The simulations were carried out on the IEEE 33-bus electrical distribution network (EDN) contemplating different levels of EV load penetration. The proposed methodology results have proved that the required energy is provided by optimal I-PV-BESS backup for a daylong islanding operation and its adaptability for practical situations. 2021 Elsevier Ltd -
CPAODV: Classifying and Assigning 3 Level Preference to the Nodes in VANET Using AODV Based CBAODV Algorithm
Vehicles communicate with nearby vehicles to share high routing and traffic information in Vehicular Ad hoc Networks (VANETs) environment. Congestion and Delay in the transmission may occur due to the density of the nodes in the network. Traffic condition depends on the vehicles in Rural and Urban environment. Increase or Decrease in vehicles speed makes significant network changes when compared to the MANET environment. Road Side Terminals (RSTs) plays a major role in bridging the connection between the sender and the receiver nodes. The traditional AODV algorithm performs better when there are shortest path and link lifetime between the nodes in VANET. Giving 3 Level Preference to the nodes as High Preference (HP), Average Preference (AP) and Less Preference (LP) gives chances to nodes that have High Preference when compared to Less Preference. CPAODV model is proposed by implementing Classifying and giving preference to the RREQ to mitigate latency to the nodes. RST sends RREQ wisely based on the early model of Route Discovery stage itself. NS2 Simulator is used to analyze the strength of the proposed algorithm using QoS metrics like Throughput, Packet Delivery Ratio and End to End delay. This proposed CPAODV method performs better when compared to traditional AODV and CBAODV algorithm. 2020, Springer Nature Switzerland AG. -
Crafting an experiencescape for sustainable cultural tourism: A case study of udaipur's craft village "Shilpgram"
India, known for its rich and varied cultural heritage, hosts numerous fairs and festivals as vibrant platforms to showcase its diversity. Events like the Kala Ghoda Arts Festival, Ellora-Ajanta International Festival, Surajkund Crafts Mela, Pushkar Fair, and many others celebrate the country's artistic and cultural wealth. This book chapter explores sustainable culture and heritage development in Udaipur's craft village, 'Shilpgram.' The village hosts an annual craft fair during the peak tourist season, attracting artists across India to showcase their unique crafts, folk dances, and paintings. This chapter assesses Shilpgram's feasibility as an experiencescape model using a case study method. Interviews with key stakeholders provided insight into the destination's difficulties, strengths, and best practices. The study adds to our understanding of cultural locations' responsibilities in cultural tourism by balancing historical preservation with current expectations. 2023, IGI Global. All rights reserved. -
Creating a Logic Divider Based on BCD and Utilizing the Vedic Direct Flag Method
Reversible logic has potential for a variety of applications demanding low energy usage since it prevents information loss and energy waste. The purpose of this work is to design a new Vedic divider circuit with reversible gates. Efficiency in quantum and ASIC parameters is demonstrated by the Reversible Direct Flag Vedic Division Method (RDFVDM), which has been devised. Block-level reversible gates are used in the RDFVDM to provide benefits including lower quantum costs and less trash outputs. The performance of Cadence EDA Tool is validated by simulation trials. Based on a comparative examination utilizing current methodologies, RDFVDM performs better than comparable designs. Interestingly, it improves energy usage by 26%. Moreover, RDFVDM performs exceptionally well in terms of quantum cost while employing the RSA cryptographic technique, efficiently managing 1276,293 constant inputs and 311 garbage outputs. 2024 by the Perumal B, Balamanikandan A, Arunraja A, Venkatachalam K, Shaik Rahamtula, Dhanalakshmi M. -
Creating a positive school culture through new educational practices
There is an increase in rates of depression and anxiety globally. Schools have moved from a traditional approach of learning and teaching to contemporary forms which includes technology. New revolution has taken place in the world of schooling, with the entry of positive education. Positive education is the application of principles in positive psychology to schooling to enhance the well-being of students and schools. The objective of this review-based chapter is to bring to light the use of various strategies of positive education in classrooms, for middle school students, in order to create a positive learning environment. An evidence-based learning approach is used in this chapter. This chapter address issues and concerns regarding the challenges in applying the strategies of positive education. The main aim of creating a positive school culture in middle school is to enhance the happiness and well-being of students The chapter brings out the need for positive education in the current generation and discusses the implications of the further scope of positive education in India. 2021, IGI Global. -
Creating a sustainable future: insights into brand marketing in the luxury fashion industry
This paper aims to develop a conceptual framework that elucidates the factors that impact sustainable luxury brand marketing, specifically focusing on the luxury fashion industry. The framework aims to highlight the role played by the industry in promoting economic, social, and environmental sustainability. By examining these factors, the study seeks to contribute to a better understanding of how luxury fashion brands can effectively incorporate sustainability into their marketing strategies, thereby fostering a more sustainable and responsible approach to luxury consumption. Applying the theoretical framework derived from the literature review and systematic mapping approach, we examine its relevance in the luxury fashion market. This exploration allows us to assess its practical applicability and gather empirical evidence regarding sustainable brand marketing in this context. This research will give an in-depth analysis of the major elements influencing the consumption of sustainable luxury goods. The findings expand our understanding of the sustainable practices adopted by luxury fashion brands, providing valuable insights for academia and the industry. This studys implications are profound: luxury brand managers can enhance brand value through insights on sustainable fashion consumption drivers, while sustainable brands gain strategies for audience engagement and loyalty. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Creating and Sustaining Organizations: The Challenges of Sustainability
Global Journal of Finance & Management, Vol-4 (1), pp. 78-81. ISSN-0975-6477 -
Creating inclusive spaces in virtual classroom sessions during the COVID pandemic: An exploratory study of primary class teachers in India
The research paper reports insights into the primary class teachers experiences and inclusive methodologies in India during virtual class sessions. Teaching online during the COVID pandemic has turned out to be an adaptive and transformative challenge for teachers. Though Indian teachers are used to the chalk-and-talk method, an online setup has compelled them to discover innovative strategies to maintain an inclusive classroom. It was found that teachers are using puppetry, storytelling, energizers, ice-breakers in their sessions to make it engaging. An in-depth study was undertaken to understand the experiences of five primary class teachers from private schools in India. Data thus collected were analyzed qualitatively. The study results demonstrated that the teachers had improved professionally they have become independent in using the internet and exploring new ways of teaching them per their needs. Nevertheless, it was also found that the schools lack support, fear among the teachers of being asked to quit the job, blocking students from the online class if they fail to pay the fees, and exorbitant salary cuts. The challenges related to young students were - lack of proper resources for online sessions, low attention span, technical distractions, lack of physical development, excessive interference of the parents and lack of socialization. The paper concludes with policy proposals regarding standardized online education platforms and provisions for proper resources for virtual class sessions to marginalized families to minimize India's digital divide. 2021 -
Creation of Bookshelf Using Autodesk 3ds Max: 3D Modelling and Rendering
The step-by-step process of creating a bookshelf design is specified, including the ProBoolean compound primitive, applying edit poly modifier, using detach option, making use of lattice modifier, using bend modifier, using twist modifier. The manner in which materials are added to the model, together with environment lighting and renderer configuration, is defined. Procedures and methods for rendering are also defined. What we aim to achieve through our research is to create a Bookshelf design that uses materials to enhance the models. The shapes used in the model were Box, Teapot, sphere, chamfercyl, Oiltank, ProBoolean compound. The modifiers used were edit poly, bend, twist, lattice. Afterwards we used the Arnold light and material editor to enhance and glorify the model. 2023 IEEE. -
Creativity Education in India: Breaking Barriers
Classrooms in India are posed with challenges of rigid curriculum demands, lack of resources, large class sizes and very often low motivation levels among teachers. Add to that poor teacher training facilities. Given the constraints, the pursuit of encouraging creativity education in the Indian schooling system seems like a tall order. The aim of this chapter is to explore the scope for creative learning and expression in Indian classrooms. The purpose is also to search for education models that facilitate and encourage creativity amongst children by adapting the curriculum to their advantage and operate within the constraints imposed by systemic drawbacks. The chapter searches for a coherent, pragmatic definition of creativity among practitioners and pedagogues with the rationale of identifying workable solutions for dissemination of creativity education in Indian classrooms. The methodology entails conversations and interviews with teachers, curriculum planners and pedagogues representing different education models and schooling systems in India. A case-study design approach is assumed to present programs that are successfully implementing practices which encourage creativity learning among their students. An attempt is made to highlight the philosophical beliefs that underlie adoption of such practices as well as to document the challenges and demands that such an endeavour imposes on the system. The chapter therefore, provides an optimistic view of the future of out of the box learning not only in the Indian classrooms but also makes a case for all education systems stifled by curriculum constraints and lack of resources. Inter-Disciplinary Press 2012. -
Credit card fraud detection using ANN
Fraud on its own was and is devastating a lot of businesses, be them small or large. Particularly in the field of finance where we can see constant attacks on both individuals and enterprises alike. As such, credit cards are the most targeted as they are linked to both personal information and accounts. It is also evident to say that credit card fraud detection research is very much needed to deter and mitigate the impact of fraud on the financial field in general. It is important to identify frauds before it is too late so that the stolen credit card cannot be used for fraudulent transactions. To effectively detect these fraud transactions, we use a data consisting of fraudulent and non-fraudulent transactions to create a model that classifies these transactions with a high accuracy based on a machine learning technique. We used Artificial Neural Network with Logistic Regression to measure and in order to achieve high accuracy, we refined the parameters using the algorithms Back-propagation which has proved to have a high accuracy rate giving the model the ability to distinguish a fraudulent transaction from a normal one. BEIESP. -
Cricket Shot Classification with Deep Learning: Insights for Coaching and Spectator Experience Enhancement
The cricket field has undergone significant transformations owing to recent technological advancements, particularly in countries like India. Technology has been used to determine projected scores, chances of winning, run rates, and many more parameters. This study centers on employing Deep Learning in cricket, focusing on the classification of different types of shots played by batsmen to aid in creating coaching strategies and enhancing the spectator experience. The proposed model uses a dataset of cricketing shots generated by collecting images from the internet, comprising 5781 images of 7 distinct shot types played by batters. The VGG-16, VGG-19, and RestNet-50 model architectures were trained for the classification task, with the best result obtained from VGG-16. Pre-processing tasks, such as scaling, augmentation, etc., were performed on the images before classification. Subsequently, 85% of the total images were used to train the model and for testing, rest 15% of images, resulting in an accuracy of 96.50% from VGG-16, 92% from VGG-19, and 78% from RestNet-50. 2024 IEEE. -
Cries of war: Securitization of fluid transnational identities during war (a comparative study of securitization of Chinese Indians and Japanese Americans)
Fluid transnational identities are an omnipresent reality in the contemporary world, but what happens when war becomes a reality or the threat of war is imminent in a State which contains fluid transnational identities? This article tries to explore these dynamics to determine if the threat from transnational identities is an actual threat during war or an act of an elite few, and what follows after the war, by comparing the experiences of Chinese Indians and Japanese Americans. The study heavily leans on securitization theory to explore the questions posed and elaborate on the situations when habeas corpus was denied thereby incarceration and internment as a practice were justified. The relationship between the transnational population and the State under the Copenhagen School is also further elaborated on. The Author(s) 2021.