Development and Validation of the Social Media Self-Esteem Scale for Adolescents
Adolescents; Looking-Glass Self; Self; Self-Esteem; Social Media
Development of the self is a vital aspect during the period of adolescence. Interaction with peers contributes to the development of various aspects of self. Due to the technological advances in todays times, adolescents interact with their peers through social media sites and portals. It is essential to study this development in light of the increasing use of social media by adolescence. Thus, the study aimed at developing an item pool to tap the construct of social media influencing self-esteem of adolescents following the procedure of tool construction. Participants included adolescents ranging between 16 to 18 years of age, who have at least one social media account for personal use. There were 110 participants for the first phase and 397 participants for the second phase of the study. The scale has eight items with the overall reliability of .7. It indicates a fitting measure of self-esteem influenced by social media, with looking-glass self theory, according to which individuals develop their self, based on their perceptions of others responses to their behaviour. Copyright 2020, IGI Global.
International Journal of Cyber Behavior, Psychology and Learning, Vol-10, No. 4, pp. 1-13.
https://doi.org/10.4018/IJCBPL.2020100101 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096807022&doi=10.4018%2fIJCBPL.2020100101&partnerID=40&md5=51bef7cbcec5926b09094f99efda7f9b
Rao D.S., Christ University (Deemed), India; Kumar A., Christ University (Deemed), India
Malicious node detection using heterogeneous cluster based secure routing protocol (HCBS) in wireless adhoc sensor networks
Adhoc network; Energy consumption; HCBS; Malicious nodes; Security; Sensor nodes
In wireless, every device can moves anywhere without any infrastructure also the information can be maintained constantly for routing the traffic. The open issues of wireless Adhoc network the attacks which are chosen the forwarding attack that is dropped by malicious node to corrupt the network performance then the information integrity exposure. Aim of the problem that existing methods in Adhoc network for malicious node detection which cannot assure the traceability of the node as well as the fairness of node detection. In this paper, the proposed heterogeneous cluster based secure routing scheme provides trust based secure network for detection of attacks such as wormhole and black hole caused by malicious nodes presence in wireless Adhoc network. The simulation result shows that the proposed model is detect the malicious nodes effectively in wireless Adhoc networks. The malicious node detection efficiency can be achieved 96% also energy consumption also 10% better than existing method. 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
Gomathy V.; Padhy N.; Samanta D.; Sivaram M.; Jain V.; Amiri I.S.
Journal of Ambient Intelligence and Humanized Computing, Vol-11, No. 11, pp. 4995-5001.
Springer Science and Business Media Deutschland GmbH
Gomathy V., Department of EEE, Sri Krishna College of Engineering and Technology, Kuniamuthur, Coimbatore, India; Padhy N., School of Computer Engineering, GIET University, Gunupur, Odisha, India; Samanta D., Department of Computer Science, Christ (Deemed to be University, Bangalore, India; Sivaram M., Department of CSE, Lebanese French University, Kurdistan Region, Erbil, Iraq; Jain V., Bharati Vidyapeeths Institute of Computer Applications and Management, New Delhi, India; Amiri I.S., Computational Optics Research Group, Advanced Institute of Materials Science, Ton Duc Thang University, Ho Chi Minh City, Viet Nam, Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
Heat transport of nano-micropolar fluid with an exponential heat source on a convectively heated elongated plate using numerical computation
Chemical reaction; Convective condition; Exponential heat source; MHD; Micropolar fluid; Nanofluid; Numerical simulations
Purpose: The study of novel exponential heat source phenomena across a flowing fluid with a suspension of microparticles and nanoparticles towards a convectively heated plate has been an open question. Therefore, the impact of the exponential heat source in the transport of nano micropolar fluid in the existence of magnetic dipole, Joule heating, viscous heating and convective condition effects has been analytically investigated. Influence of chemical reaction has also been exhibited in this discussion. Design/methodology/approach: The leading equations are constructed via conservation equations of transport, micro-rotation, energy and solute under the non-transient state situation. Suitable stretching transformations are used to transform the system of partial differential equations to ordinary. The transformed ODEs admit numerical solution via RungeKutta fourth order method along with shooting technique. Findings: The effects of pertinent physical parameters characterizing the flow phenomena are presented through graphs and discussed. The inclusion of microparticles and nanoparticles greatly affects the flow phenomena. The impact of the exponential heat source (EHS) advances the heat transfer characteristics significantly compared to usual thermal-based heat source (THS). The thermal performance can be improved through the effects of a magnetic dipole, viscous heating, Joule heating and convective condition. Originality/value: The effectiveness of EHS phenomena in the dynamics of nano micropolar fluid past an elongated plate which is convectively heated with regression analysis is for the first time investigated. 2019, Emerald Publishing Limited.
Pattnaik P.K.; Mishra S.R.; Mahanthesh B.; Gireesha B.J.; Rahimi-Gorji M.
Multidiscipline Modeling in Materials and Structures, Vol-16, No. 5, pp. 1295-1312.
https://doi.org/10.1108/MMMS-12-2018-0222 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083311219&doi=10.1108%2fMMMS-12-2018-0222&partnerID=40&md5=7ae43c9c855a1f091cce5bca33fb8468
Pattnaik P.K., Department of Mathematics, College of Engineering and Technology, Bhubaneswar, India; Mishra S.R., Department of Mathematics, Shiksha O Anusandhan (Deemed to University), Bhubaneswar, India; Mahanthesh B., Department of Mathematics, CHRIST, (Deemed to be University), Bangalore, India; Gireesha B.J., Department of Mathematics, Kuvempu University, Shimoga, India; Rahimi-Gorji M., Experimental Surgery Lab, Faculty of Medicine and Health Science, Ghent University, Ghent, Belgium, Tissue and Solid Mechanics for Medical Applications Lab (IBiTech, ? BioMMeda), Ghent University, Ghent, Belgium
Heat transport of magnetized Newtonian nanoliquids in an annular space between porous vertical cylinders with discrete heat source
Cylindrical annulus; Darcy number; Heat source; Magnetohydrodynamics; Nanofluids; Natural convection; Porosity
A numerical study of MHD natural convection in an upright porous cylindrical annulus filled with magnetized nanomaterial is made by using the specificity of nanoliquids to improve the phenomenon of heat transport. The upper and lower walls are thermally insulated, whereas the outer wall is kept at a lesser temperature. The finite volume method is used to treat the governing equations via computer code with Fortran programming. The results obtained are given for the values of the Rayleigh number between 103 and 106, aspect ratio Ar = 2, radii ratio ? = 2, Hartmann number (0 ? Ha ? 80), Darcy number (10?5 ? Da ? 10?2), porosity ratio (0.1 ? ? ?0.9), and the nanoparticles volume fraction (0 ? ? ? 0.1). The transferred thermal flux, in laminar natural convection, increases with the growth of the nanoparticle concentration, the Darcy number, the porosity, the Rayleigh number and, the length of the source. 2020 Elsevier Ltd
Mebarek-Oudina F.; Aissa A.; Mahanthesh B.; top H.F.
International Communications in Heat and Mass Transfer, Vol-117
https://doi.org/10.1016/j.icheatmasstransfer.2020.104737 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087621962&doi=10.1016%2fj.icheatmasstransfer.2020.104737&partnerID=40&md5=b854265107ddc14f2a4f4991765f1bbe
Mebarek-Oudina F., Department of Physics, Faculty of Sciences, University of 20 ao 1955-Skikda, B.P 26 Road El-Hadaiek, Skikda, 21000, Algeria, LEAP Laboratory, Department of Mechanical Engineering, University of Mentouri-Constantine 1, Route de Ain El. Bey, Constantine, Algeria; Aissa A., Laboratoire de Physique Quantique de la Matie et Modisation Mathatique (LPQ3M), University of Mascara, Algeria; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, India; top H.F., Department of Mechanical Engineering, Technology Faculty, F?rat University, Elazig, Turkey, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
Unsteady natural convection in a liquid-saturated porous enclosure with local thermal non-equilibrium effect
Adiabatic; BrinkmanBard convection; DarcyBard convection; Freefree, isothermal; Local thermal non-equilibrium; Porous enclosures; Rigidrigid; Stability analyses
Stability analysis of free convection in a liquid-saturated sparsely-packed porous medium with local-thermal-non-equilibrium (LTNE) effect is presented. For the vertical boundaries freefree, adiabatic and rigidrigid, adiabatic are considered while for horizontal boundaries it is the stress-free, isothermal and rigidrigid, isothermal boundary combinations we consider. From the linear theory, it is apparent that there is advanced onset of convection in a shallow enclosure followed by that in square and tall enclosures. Asymptotic analysis of the thermal Rayleigh number for small and large values of the inter-phase heat transfer coefficient is reported. Results of DarcyBard convection (DBC) and RayleighBard convection can be obtained as limiting cases of the study. LTNE effect is prominent in the case of BrinkmanBard convection compared to that in DBC. Using a multi-scale method and by performing a non-linear stability analysis the GinzburgLandau equation is derived from the five-mode Lorenz modal. Heat transport is estimated at the lower plate of the channel. The effect of the Brinkman number, the porous parameter and the inter-phase heat transfer coefficient is to favour delayed onset of convection and thereby enhanced heat transport while the porosity-modified ratio of thermal conductivities shows the opposite effect. 2020, Springer Nature B.V.
Siddheshwar P.G., Department of Mathematics, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560 029, India; Siddabasappa C., Department of Mathematics and Statistics, M. S. Ramaiah University of Applied Sciences, Bangalore, 560 058, India
A study of the structure, luminescence and cytotoxicity of new green-emitting terbium-doped CaS nanophosphors
CaS nanoparticles have attracted significant attention due to their wide range of optoelectronic applications. The synthesis of CaS nanophosphors doped with different terbium concentrations through a simple wet chemical co-precipitation method using triethanolamine (TEOA) as a capping agent is reported here. X-ray diffractogram ensured that the nanoparticles were crystallized in the cubic phase with space groupFm3 m. Morphology and particle size of the TEOA-capped CaS:Tb nanophosphors were determined using scanning electron microscopy and transmission electron microscopy. The optical properties of the samples were studied by photoluminescence spectroscopy and UVVis absorption measurements. The prepared nanoparticles exhibited green luminescence, which is attributed to 5D47FJ transitions of terbium ions incorporated into the CaS lattice. The existence of various functional groups in the synthesized products was identified by Fourier transform infrared spectroscopy. The lifetime decay measurements showed that the lifetime of the samples was in the nanosecond range. Cytotoxicity analysis of the nanoparticles was carried out on L929 fibroblast cells, which confirmed that the nanoparticles are biocompatible across a wide range of concentrations. Our findings indicate that CaS:Tb nanophosphor could be a potential candidate as a green-emitting phosphor in optoelectronics and biomedical field. 2020, Springer Science+Business Media, LLC, part of Springer Nature.
Journal of Materials Science: Materials in Electronics, Vol-31, No. 18, pp. 15896-15906.
Rekha S., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Aluva, 683102, Kerala, India, Department of Physics, Maharajas College, Ernakulam, 682011, Kerala, India; Anila E.I., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Aluva, 683102, Kerala, India, CHRIST (Deemed To Be University), Bengaluru, 560029, India
The behaviour of trading volume: Evidence from money market instruments
Certificate of deposits; Commercial papers; India; Macroeconomic factors; Non-macroeconomic factors; Quantile regression; Trading volume
This paper analyzed the impact of macro and non-macroeconomic factors on the trading volume of the certificate of deposits and commercial paper with regard to India during the monthly period from April 2012-March 2018 using the quantile regression approach. The results revealed that gross domestic product rate, Consumer Price Index, Economic Policy Uncertainty Index, the Volatility Index, and the Nifty index had a negligible impact on the trading volume of corporate bonds. However, interest rates and exchange rates did not influence the trading volume of corporate bonds. In the other context, gross domestic product rate, Consumer Price Index, interest rates, the Volatility Index, and movements in the Nifty index showed a negligible impact on the trading volume of commercial paper. However, the variations in the trading volume of commercial papers were not explained by exchange rates and Economic Policy Uncertainty Index. 2020, Associated Management Consultants Pvt. Ltd.. All rights reserved.
Indian Journal of Finance, Vol-14, No. 45908, pp. 69-79.
Associated Management Consultants Pvt. Ltd.
Faniband M., Department of Commerce, CHRIST (Deemed to be University), Bengaluru, 560 029, India
Conductivity/Electrochemical Study of Polyvinyl pyrrolidone-Poly(vinyl alcohol)/I3? Thin Film Electrolyte for Integrated Dye-Sensitized Solar Cells and Supercapacitors
blend polymer electrolyte; Dye-sensitized solar cell; supercapacitor
Abstract: The current era focuses not only on producing solar energy but also preserving it for future use. Dye-sensitized solar cells (DSSC) and supercapacitors (SC) are such energy-based devices. DSSCs capture the solar energy and SCs store this captured energy. A natural anthocyanin dye extracted from Garcinia indica (kokum fruit) was used in the DSSCs. SnO2, one of the promising electrode materials for DSSC, was synthesized via a microwave technique. Blend polymer electrolytes (BPE) were prepared through a solution casting technique. A polyvinyl pyrrolidone (PVP) and polyvinyl alcohol (PVA) blend with varying concentrations of potassium iodide, along with iodine dopant, was prepared as a BPE electrolyte composition. The best of the PVA-PVP/KI composition was chosen using Nyquist plots of electrochemical impedance spectroscopy (EIS). Varying the temperature, the dielectric and conductivity study of the chosen composition was studied in detail. A fast/single-step synthesis technique, namely a laser-engraved approach, was used for few-layer graphene synthesis. This graphene serves as a common platform for the DSSC-SC integrated device: as a counter electrode in DSSC and graphene-graphene symmetric electrode in SC. A DSSC-SC integrated device was fabricated and characterized using various analytical and microscopy techniques. The integrated device showed a 0.42 fill factor and 0.56% efficiency. The discharge time for integrated DSSC-SC cells was found to be increased threefold. Graphical Abstract: [Figure not available: see fulltext.] 2020, The Author(s).
Sangeetha D.N.; Hegde N.; Poojari V.; Devadiga D.; Sudhakar Y.N.; Santosh M.S.; Selvakumar M.
Journal of Electronic Materials, Vol-49, No. 11, pp. 6325-6335.
All Open Access; Hybrid Gold Open Access
https://doi.org/10.1007/s11664-020-08432-z https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091000386&doi=10.1007%2fs11664-020-08432-z&partnerID=40&md5=f3fdb86b25442ee53a24e85fc22f9c9b
Sangeetha D.N., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India; Hegde N., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India; Poojari V., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India; Devadiga D., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India; Sudhakar Y.N., Department of Chemistry, Christ (Deemed to be University), Bangalore Dharmaram Campus, Bengaluru, 560029, Karnataka, India; Santosh M.S., Centre for Incubation, Innovation, Research, and Consultancy (CIIRC), Jyothy Institute of Technology, Thataguni, Bangalore, 560082, Karnataka, India; Selvakumar M., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
Chithra graph; Chromatic colouring of graphs; J-colouring of graphs; Rainbow neighbourhood in a graph
The family of Chithra graphs is a wide ranging family of graphs which includes any graph of size at least one. Chithra graphs serve as a graph theoretical model for genetic engineering techniques or for modelling natural mutation within various biological networks found in living systems. In this paper, we discuss recently introduced J-colouring of the family of Chithra graphs. 2020, The National Academy of Sciences, India.
National Academy Science Letters, Vol-43, No. 6, pp. 543-545.
Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Kok J., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India
Transport studies of ionic solutes through chitosan/chondroitin sulfate A (CHI/CS) polyelectrolyte multilayer membranes
Chondroitin sulfate A; Ion selectivity; Layer by layer; Multilayers; Nano scale assembly; Polyelectrolytes; Polyions
Nano scale assembling has led to the capability to directly control and enhance the capabilities and properties of a material through change of its structural makeup at the nano scale. A novel class of functional layers in which various properties can be tunable via in situ modifications of nanostructure through stimuli such as pH, capping, and salt addition provides a promising strategy to develop polyion responsive polyelectrolyte multilayer membranes (PEM's). The concentration (diffusion dialysis) and pressure dependent (ultrafiltration) studies of solution containing polyvalent ions through the chitosan/chondroitin sulfate A (CHI/CS) multilayers fabricated on ultipore membrane have been studied. The characterization of the bilayer pair was done with analytical instruments like ATR-FTIR, spectroscopic ellipsometry, SEM, AFM and finally TGA for water holding capacity. The characterization of bilayer pairs demonstrated the stability and integrity of bilayer pair. An important bilayer property such as water holding capacity and ion permeability across it was examined and a positive correlation was found with increase in number of bilayers. The possibility of capping a fabricated bilayer with another polyelectrolyte, polyethylene glycol (PEG) was used to examine the extend of efficiency. The permeation rate of ions across bilayers increased with makeup salt concentration was observed with capping. An increase in selectivity was observed with increase in the number of bilayers for Na+/Cu2+, Na+/Ag+ and Na+/Mn3+. 12.5 hybrid CHI/CS-PEG membranes shows a selectivity of 38.52 for Cl-/PO43- with a permeation rate of 37.54 10-5 cms-1 and 4.23 10-5 cms-1 respectively for Cl- and PO43-. The transport profile of a model vitamin, ascorbic acid (AA) through CHI/CS multilayers showed the capability of bilayer membrane for selective solute transport. 2020 The Author(s). Published by IOP Publishing Ltd
https://doi.org/10.1088/2632-959X/ab9fd3 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129333938&doi=10.1088%2f2632-959X%2fab9fd3&partnerID=40&md5=98e068f8b3cdee67dedb32dade17510c
Chandra P.N., P.G. and Research Department of Chemistry, Sree Narayana College Kollam, Kerala, 691001, India, Advanced Centre of Environmental Studies and Sustainable Development, Mahatma Gandhi University, Kottayam, 686560, India; Mohan M.K., Kerala Department of Sciences and Humanities, Christ University Faculty of Engineering Bangalore, Karnataka, 560074, India
Simple and Efficient Amberlite 15-catalyzed Synthesis of Dihydroquinazolinones
Amberlite 15; aza-Michael addition; dihydroquinazolinones; one-pot synthesis
Abstract: The Amberlite 15 catalyzed synthesis of substituted 2,3-dihydroquinazolin-4(1H)-ones was reported. The reaction conditions were optimized by screening in different solvents and catalysts. The substrate scope of the reaction was also studied, and a plausible mechanism for the reaction was proposed. 2020, Pleiades Publishing, Ltd.
Krishnaji T.; Murthy V.N.; Raghunadh A.; Rao L.V.
Russian Journal of Organic Chemistry, Vol-56, No. 8, pp. 1468-1475.
Krishnaji T., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Murthy V.N., Technology Development Centre, Custom Pharmaceutical Services, Dr. Reddys Laboratories Ltd., Hyderabad, 500049, India, Department of Chemistry, GIS, GITAM University, Visakhapatnam, 530045, India; Raghunadh A., Technology Development Centre, Custom Pharmaceutical Services, Dr. Reddys Laboratories Ltd., Hyderabad, 500049, India; Rao L.V., Department of Chemistry, GIS, GITAM University, Visakhapatnam, 530045, India
Study of generator shaft behaviour during subsynchronous resonance using finite element method
Damper; Finite element method; Modal analysis; Shaft; Subsynchronous resonance
Scientific research in electric power stations includes various online monitoring and control of equipments. Turbine and generator plays a key role in generating power. Frequency response analysis of the shaft which connects turbine and generator is used to detect the steady state response. It will enable the user to understand and design the system in such a way that it can withstand resonance, fatigue and other vibrations. Subsynchronous resonance which arises during line compensation by series capacitors increases oscillations in the turbine generator shaft system. The oscillations developed at low frequency causes physical damage to the shaft. There are several real time monitoring of the rotor shaft and turbine shaft misalignment by using laser technologies. The aim of this research paper is to use frequency response and modal analysis technique to detect the stress in the shaft and improve the design of it. A viscous damper is designed in the 3D model at the point of highly stressed area to control the resonance effect caused by series capacitors. 2020, Levrotto and Bella. All rights reserved.
International Journal of Mechanics and Control, Vol-21, No. 1, pp. 121-126.
Manikandan P., Department of EEE, Christ (Deemed to be University), Bangalore, India; Khan F.A., Department of EEE, Ghousia College of engineering, Ramanagaram, India
Significance of exponential space- and thermal-dependent heat source effects on nanofluid flow due to radially elongated disk with Coriolis and Lorentz forces
Buongiorno model; Exponential heat source; Nanofluid; Radial magnetic field; Rotating disk; Shooting method
In this paper, the nanofluid flow near an infinite disk which stretches in the radial direction in the presence of exponential space-based heat source (ESHS) and thermal-based heat source (THS) is investigated. The Brownian motion and thermophoresis effects are accounted to study the nanofluids. Effects of radial magnetism and the Coriolis force are also deployed. The pertinent nonlinear equations are approximated under boundary layer notion and modified von Km transformations. The subsequent nonlinear differential system is treated via shooting method. The impacts of controlling parameters on flow profiles are discussed and depicted with the aid of graphs. Results show that as the ESHS and THS parameters increase, the thermal field increases. However, ESHS phenomenon is highly influential than THS phenomenon on energy transport and its gradient. Further, it is found that thermophoresis slip mechanism has more effect on heat transport rate than the Brownian motion. 2019, Akadiai Kiad Budapest, Hungary.
Mahanthesh B.; Lorenzini G.; Oudina F.M.; Animasaun I.L.
Journal of Thermal Analysis and Calorimetry, Vol-141, No. 1, pp. 37-44.
Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, India; Lorenzini G., Department of Engineering and Architecture, University of Parma, Parco Area Delle Scienze 181/A, Parma, 43124, Italy; Oudina F.M., Department of Physics, Faculty of Sciences, University of 20 ao 1955 - Skikda, B.P 26 Road El-Hadaiek, Skikda, 21000, Algeria; Animasaun I.L., Fluid Dynamics Research Group, Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria
Physical framework for a counselling environment in India: Thematic analysis of counsellors' perceptions
counselling environment; Indian perspective; physical framework; thematic analysis
The influence of the physical environment on the counselling process is an inevitable part of a counselling session. However, there is little insight in Indian research into the desirable elements of the physical environment of the counselling room that helps facilitate a counselling session. Interviews were conducted with 10 professional counsellors in India. Thematic analysis of the databrought out various Basic and Organising themes under the following three Global themes: (a) Elements of the physical framework; (b) Counsellor's perspectives about the physical framework in counselling; and (c) Motivation to build a framework. The findings show how counsellors can systematise the physical framework to help construct the counselling session effectively. 2020 British Association for Counselling and Psychotherapy
Counselling and Psychotherapy Research, Vol-20, No. 2, pp. 336-345.
https://doi.org/10.1002/capr.12299 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079039024&doi=10.1002%2fcapr.12299&partnerID=40&md5=67e32420a8ee3603bae7161fca6b7630
Dey A.M., Department of Psychology, Christ University, Bangalore, India; Kumar A., Department of Psychology, Christ University, Bangalore, India
Econophysical bourse volatility-Global Evidence
Bubble; Econophysics; Financial Reynolds number; Herding; volatility
Financial Reynolds number (Re) has been proven to have the capacity to predict volatility, herd behaviour and nascent bubble in any stock market (bourse) across the geographical boundaries. This study examines forty two bourses (representing same number of countries) for the evidence of the same. This study finds specific clusters of stock markets based on embedded volatility, herd behaviour and nascent bubble. Overall the volatility distribution has been found to be Gaussian in nature. Information asymmetry hinted towards a well-discussed parameter of 'financial literacy' as well. More than eighty percent of indices under consideration showed traces of mild herd as well as bubble. The same indices were all found to be predictable, despite being stochastic time series. In the end, financial Reynolds number (Re) has been proved to be universal in nature, as far as volatility, herd behaviour and nascent bubble are concerned. 2020 Bikramaditya Ghosh et al., published by Sciendo 2020.
Journal of Central Banking Theory and Practice, Vol-9, No. 2, pp. 87-107.
https://doi.org/10.2478/jcbtp-2020-0015 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088035656&doi=10.2478%2fjcbtp-2020-0015&partnerID=40&md5=0c4ee0078de671adbc41ef3854b9bb23
Ghosh B., Institute of Management, Christ University, Bangalore, India; Mc K., Institute of Management, Christ University, Bangalore, India
Synthesis of Quinoxalin-2(1 H)-ones and Hexahydroquinoxalin-2(1 H)-ones via Oxidative Amidation-Heterocycloannulation
2,2-dibromo-1-arylethanone; heterocycloannulation; oxidative amidation; quinoxalin-2(1 H)-one
A metal-catalyst-free synthesis of substituted quinoxalin-2-ones from 2,2-dibromo-1-arylethanone by employing an oxidative amidation-heterocycloannulation protocol is reported. The substrate scope of the reaction has been demonstrated and a possible mechanism for this reaction has also been proposed. 2020 GeorgThieme. All Rights Reserved.
Raghunadh A.; Tadiparthi K.; Meruva S.B.; Murthy V.N.; Rao L.V.; Kumar U.K.S.
Raghunadh A., Technology Development Centre, Custom Pharmaceutical Services, Dr. Reddy's Laboratories Ltd, Hyderabad, 560049, India; Tadiparthi K., Department of Chemistry, CHRIST (Deemed to Be University), Hosur Road, Bangalore, 560026, India; Meruva S.B., Technology Development Centre, Custom Pharmaceutical Services, Dr. Reddy's Laboratories Ltd, Hyderabad, 560049, India; Murthy V.N., Technology Development Centre, Custom Pharmaceutical Services, Dr. Reddy's Laboratories Ltd, Hyderabad, 560049, India; Rao L.V., Department of Chemistry, GIS, GITAM University, Visakhapatnam, 530045, India; Kumar U.K.S., Technology Development Centre, Custom Pharmaceutical Services, Dr. Reddy's Laboratories Ltd, Hyderabad, 560049, India
The Consortium on Vulnerability to Externalizing Disorders and Addictions (c-VEDA): an accelerated longitudinal cohort of children and adolescents in India
The global burden of disease attributable to externalizing disorders such as alcohol misuse calls urgently for effective prevention and intervention. As our current knowledge is mainly derived from high-income countries such in Europe and North-America, it is difficult to address the wider socio-cultural, psychosocial context, and genetic factors in which risk and resilience are embedded in low- and medium-income countries. c-VEDA was established as the first and largest India-based multi-site cohort investigating the vulnerabilities for the development of externalizing disorders, addictions, and other mental health problems. Using a harmonised data collection plan coordinated with multiple cohorts in China, USA, and Europe, baseline data were collected from seven study sites between November 2016 and May 2019. Nine thousand and ten participants between the ages of 6 and 23 were assessed during this time, amongst which 1278 participants underwent more intensive assessments including MRI scans. Both waves of follow-ups have started according to the accelerated cohort structure with planned missingness design. Here, we present descriptive statistics on several key domains of assessments, and the full baseline dataset will be made accessible for researchers outside the consortium in September 2019. More details can be found on our website [cveda.org]. 2020, Springer Nature Limited.
Zhang Y.; Vaidya N.; Iyengar U.; Sharma E.; Holla B.; Ahuja C.K.; Barker G.J.; Basu D.; Bharath R.D.; Chakrabarti A.; Desrivies S.; Elliott P.; Fernandes G.; Gourisankar A.; Heron J.; Hickman M.; Jacob P.; Jain S.; Jayarajan D.; Kalyanram K.; Kartik K.; Krishna M.; Krishnaveni G.; Kumar K.; Kumaran K.; Kuriyan R.; Murthy P.; Orfanos D.P.; Purushottam M.; Rangaswamy M.; Kupard S.S.; Singh L.; Singh R.; Subodh B.N.; Thennarasu K.; Toledano M.; Varghese M.; Benegal V.; Schumann G.; Singh R.L.; Nanjayya S.B.; Kalyanram K.; Ghattu K.; Kurpad S.S.; Zhang Y.; Heron J.; Narayanan G.; Mehta U.M.; Girimaji S.C.; Khullar M.; Khandelwal N.; Joshi N.; Amit; Haque B.; Ghosh A.; Nagraj A.; Basu A.; Bhattacharya D.; Pandit M.M.; Das S.; Yadav A.; Das S.; Roy S.; Maurya P.K.; Chanu N.D.; Fujica M.C.; Ph V.; Phurailatpam C.; Rani G.; Sujatha B.; Fall C.; Kiran K.N.; Ramya M.C.; Urs C.; Santhosh N.; Somashekhara R.; Divyashree K.; Rao A.; Poornima R.; Tripathy S.; Parashar N.; Dhanalakshmi D.; Nayana K.B.; Seshadri A.K.; Kumar S.; Arumugam T.; Safai A.; Baligar S.K.; Cyril A.M.; Sharda A.; Rashmitha; Roy A.A.; Shivamma D.; Kiran L.; Bhavana B.R.
Molecular Psychiatry, Vol-25, No. 8, pp. 1618-1630.
ISSN: 13594184; PubMed ID: 32203154; CODEN: MOPSF
Zhang Y., Centre for Population Neuroscience and Precision Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, United Kingdom, Centre for Innovation in Mental Health, School of Psychology, University of Southampton, Southampton, United Kingdom; Vaidya N., Centre for Population Neuroscience and Precision Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, United Kingdom, Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bengaluru, India, Centre for Population Neuroscience and Precision Medicine, MRC Social, Genetic, Developmental Psychiatry Centre, Institute of Psychology, Psychiatry & Neuroscience, Kings College London, London, United Kingdom; Iyengar U., Centre for Population Neuroscience and Precision Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, United Kingdom, Centre for Population Neuroscience and Precision Medicine, MRC Social, Genetic, Developmental Psychiatry Centre, Institute of Psychology, Psychiatry & Neuroscience, Kings College London, London, United Kingdom; Sharma E., Department of Child & Adolescent Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India, Department of Child & Adolescent Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India; Holla B., Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India; Ahuja C.K., Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education & Research, Chandigarh, India, Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education & Research, Chandigarh, India; Barker G.J., Department of Neuroimaging, Institute of Psychology, Psychiatry & Neuroscience, London, Kings College, London, United Kingdom, Department of Neuroimaging, Institute of Psychology, Psychiatry & Neuroscience, Kings College London, London, United Kingdom; Basu D., Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India, Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India; Bharath R.D., Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India, Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, India; Chakrabarti A., ICMR-Regional Occupational Health Centre, Kolkata, India, ICMR-Regional Occupational Health Centre, Kolkata, India; Desrivies S., Centre for Population Neuroscience and Precision Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, United Kingdom, Centre for Population Neuroscience and Precision Medicine, MRC Social, Genetic, Developmental Psychiatry Centre, Institute of Psychology, Psychiatry & Neuroscience, Kings College London, London, United Kingdom; Elliott P., MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom; Fernandes G., Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Gourisankar A., Rishi Valley Rural Health Centre, Rishi Valley, India, Rishi Valley, Rural Health Centre, Madanapalle, Andhra Pradesh, India; Heron J., Centre for Public Health, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Hickman M., Bristol Medical School, University of Bristol, Bristol, United Kingdom, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Jacob P., Department of Child & Adolescent Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India, Department of Child & Adolescent Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India; Jain S., Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India; Jayarajan D., Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India; Kalyanram K., Rishi Valley Rural Health Centre, Rishi Valley, India, Rishi Valley, Rural Health Centre, Madanapalle, Andhra Pradesh, India; Kartik K., Rishi Valley Rural Health Centre, Rishi Valley, India, Rishi Valley, Rural Health Centre, Madanapalle, Andhra Pradesh, India; Krishna M., Foundation for Research and Advocacy in Mental Health, Mysuru, India, Foundation for Research and Advocacy in Mental Health, Mysore, India; Krishnaveni G., Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysuru, India; Kumar K., Department of Mental Health and Clinical Psychology, National Institute of Mental Health and Neurosciences, Bengaluru, India, Department of Mental Health and Clinical Psychology, National Institute of Mental Health and Neurosciences, Bangalore, India; Kumaran K., Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysuru, India, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom; Kuriyan R., Division of Nutrition, St Johns Research Institute, Bengaluru, India, Division of Nutrition, St Johns Research Institute, Bangalore, India; Murthy P., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bengaluru, India, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India; Orfanos D.P., NeuroSpin, CEA, UniversitParis-Saclay, Paris, France, NeuroSpin, CEA, UniversitParis-Saclay, Paris, France; Purushottam M., Molecular Genetics Laboratory, National Institute of Mental Health and Neurosciences, Bengaluru, India, Molecular Genetics Laboratory, National Institute of Mental Health and Neurosciences, Bangalore, India; Rangaswamy M., Department of Psychology, CHRIST (deemed to be university), Bengaluru, India, Department of Psychology, Christ University, Bangalore, India; Kupard S.S., Department of Psychiatry & Department of Medical Ethics, St. Johns Medical College & Hospital, Bengaluru, India; Singh L., Department of Psychiatry, Regional Institute of Medical Sciences, Imphal, Manipur, India; Singh R., Department of Psychiatry, Regional Institute of Medical Sciences, Imphal, Manipur, India, Regional Institute of Medical Sciences, Imphal, Manipur, India; Subodh B.N., Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India; Thennarasu K., Department of Biostatistics, National Institute of Mental Health and Neurosciences, Bengaluru, India, Department of Biostatistics, National Institute of Mental Health and Neurosciences, Bangalore, India; Toledano M., MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom; Varghese M., Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India; Benegal V., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bengaluru, India, Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Schumann G., Centre for Population Neuroscience and Precision Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, United Kingdom, Population Neuroscience and Precision Medicine (PONS), LIN-Charite Research Group Department of Psychiatry and Psychotherapy, Charite, CCM, Humboldt University, Berlin, Germany, Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China, Centre for Population Neuroscience and Precision Medicine, MRC Social, Genetic, Developmental Psychiatry Centre, Institute of Psychology, Psychiatry & Neuroscience, Kings College London, London, United Kingdom; Singh R.L., Regional Institute of Medical Sciences, Imphal, Manipur, India; Nanjayya S.B., Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India; Kalyanram K., Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India; Ghattu K., Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India; Kurpad S.S., Department of Psychiatry & Department of Medical Ethics, St. Johns Medical College & Hospital, Bangalore, India; Zhang Y., Centre for Population Neuroscience and Precision Medicine, MRC Social, Genetic, Developmental Psychiatry Centre, Institute of Psychology, Psychiatry & Neuroscience, Kings College London, London, United Kingdom; Heron J., Centre for Public Health, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Narayanan G., Department of Clinical Psychology, National Institute of Mental Health and Neurosciences, Bangalore, India; Mehta U.M., Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India; Girimaji S.C., Department of Child & Adolescent Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India; Khullar M., Department of Experimental Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India; Khandelwal N., Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Chandigarh, India; Joshi N., Department of Experimental Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India; Amit, Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Chandigarh, India; Haque B., ICMR-Regional Occupational Health Centre, Eastern, Kolkata, India; Ghosh A., ICMR-Regional Occupational Health Centre, Eastern, Kolkata, India; Nagraj A., ICMR-Regional Occupational Health Centre, Eastern, Kolkata, India; Basu A., ICMR-Regional Occupational Health Centre, Eastern, Kolkata, India; Bhattacharya D., ICMR-Regional Occupational Health Centre, Eastern, Kolkata, India; Pandit M.M., ICMR-Regional Occupational Health Centre, Eastern, Kolkata, India; Das S., ICMR-Regional Occupational Health Centre, Eastern, Kolkata, India; Yadav A., ICMR-Regional Occupational Health Centre, Eastern, Kolkata, India; Das S., ICMR-Regional Occupational Health Centre, Eastern, Kolkata, India; Roy S., ICMR-Regional Occupational Health Centre, Eastern, Kolkata, India; Maurya P.K., ICMR-Regional Occupational Health Centre, Eastern, Kolkata, India; Chanu N.D., Regional Institute of Medical Sciences, Imphal, Manipur, India; Fujica M.C., Regional Institute of Medical Sciences, Imphal, Manipur, India; Ph V., Regional Institute of Medical Sciences, Imphal, Manipur, India; Phurailatpam C., Regional Institute of Medical Sciences, Imphal, Manipur, India; Rani G., Rishi Valley, Rural Health Centre, Madanapalle, Andhra Pradesh, India; Sujatha B., Rishi Valley, Rural Health Centre, Madanapalle, Andhra Pradesh, India; Fall C., MRC Lifecourse Epidemiology Unit, University of Southamtpon, Southamtpon, United Kingdom; Kiran K.N., Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India; Ramya M.C., Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India; Urs C., Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India; Santhosh N., Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India; Somashekhara R., Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India; Divyashree K., Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India; Rao A., Division of Nutrition, St Johns Research Institute, Bangalore, India; Poornima R., Division of Nutrition, St Johns Research Institute, Bangalore, India; Tripathy S., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Parashar N., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Dhanalakshmi D., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Nayana K.B., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Seshadri A.K., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Kumar S., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Arumugam T., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Safai A., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Baligar S.K., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Cyril A.M., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Sharda A., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Rashmitha, Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Roy A.A., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Shivamma D., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Kiran L., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India; Bhavana B.R., Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India
Sectoral correlations and interlinkages: NSE
ADF Test; Granger causality; Intersectoral linkages; Portfolio Diversification
An efficient portfolio is a well-diversified portfolio that gives the investor opportunities to earn money and provide cover against risks. Understanding the intersectoral linkages and correlations among various sectors in a stock market will help an investor to diversify the portfolio and reduce risk efficiently. This study aims at examining the underlying linkages and correlations among eight sectors in the Indian National Stock Exchange (NSE) using a Granger causality test under VAR environment. The results of the study based on nine years' data from 2009 to 2018 show that an effective portfolio can have two classifications -stocks from Pharma and Media as group one (defensive stocks) and picks from IT, Bank, Financial Services, Realty, Auto and FMCG sector as group two (somewhat Cyclical). The study further proves that the usual definition for cyclical and defensive sectors have undergone some profound changes. 2020 SCMS Group of Educational Institutions. All rights reserved.
SCMS Journal of Indian Management, Vol-17, No. 3, pp. 94-102.
Florence M.A., Department of Economics, St. Michael's College, Cherthala, Alappuzha, India; Dibin K.K., Department of MBA, SCMS, School of Technology and Management, Kochi, India; Victor V., Department of Economics, CHRIST (Deemed to be University), Bangalore, Karnataka, India
A census of young stellar population associated with the Herbig Be star HD 200775
ISM: clouds; polarization; stars: distances; stars: pre-main-sequence; X-rays: stars
The region surrounding the well-known reflection nebula, NGC 7023, illuminated by a Herbig Be star, HD 200775, located in the dark cloud L1174 is studied in this work. Based on the distances and proper motion values from Gaia DR2 of 20 previously known young stellar object (YSO) candidates, we obtained a distance of 335 11 pc to the cloud complex L1172/1174. Using polarization measurements of the stars projected on the cloud complex, we show additional evidence for the cloud to be at ?335 pc distance. Using this distance and proper motion values of the YSO candidates, we searched for additional comoving sources in the vicinity of HD 200775 and found 20 new sources, which show low infrared excess emission and are of age ?1 Myr. Among these, 10 YSO candidates and 4 newly identified comoving sources are found to show X-ray emission. Three of the four new sources for which we have obtained optical spectra show H ? in emission. About 80 per cent of the total sources are found within ?1 pc distance from HD 200775. Spatial correlation of some of the YSO candidates with the Herschel dust column density peaks suggests that star formation is still active in the region and may have been triggered by HD 200775. 2020 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society.
Saha P.; Gopinathan M.; Kamath U.; Lee C.W.; Puravankara M.; Mathew B.; Sharma E.
Monthly Notices of the Royal Astronomical Society, Vol-494, No. 4, pp. 5851-5871.
https://doi.org/10.1093/mnras/staa1053 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096954636&doi=10.1093%2fmnras%2fstaa1053&partnerID=40&md5=2b7f174fef612b50fbefeb992b3eff5c
Saha P., Indian Institute of Astrophysics (IIA), Sarjapur Road, Koramangala, Bangalore, Karnataka, 560034, India, Pt. Ravishankar Shukla University, Amanaka G.E. Road, Raipur, Chhatisgarh, 492010, India; Gopinathan M., Indian Institute of Astrophysics (IIA), Sarjapur Road, Koramangala, Bangalore, Karnataka, 560034, India; Kamath U., Indian Institute of Astrophysics (IIA), Sarjapur Road, Koramangala, Bangalore, Karnataka, 560034, India; Lee C.W., Korea Astronomy and Space Science Institute (KASI), 776 Daedeok-daero, Yuseong-gu, Daejeon, South Chungcheong, 34055, South Korea, University of Science and Technology, 217 Gajeong-ro, Yuseong-gu, Daejeon, South Chungcheong, 34113, South Korea; Puravankara M., Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai, Maharashtra, 400005, India; Mathew B., Department of Physics and Electronics, CHRIST (deemed to be university), Bangalore, Karnataka, 560029, India; Sharma E., Indian Institute of Astrophysics (IIA), Sarjapur Road, Koramangala, Bangalore, Karnataka, 560034, India
Relation between electricity consumption and economic growth in Karnataka, India: An aggregate and sector-wise analysis
Cross-subsidization; Economic growth; Electricity consumption; Granger causality; Holt-winter smoothening method; Karnataka, India; Per capita consumption
Karnataka is a highly progressive and rapidly growing state in India, with huge potential for industrial growth, however, it grapples with power deficits and other problems in electricity sector, which make it a good case study for Indian electricity sector. Given the importance of electricity in the urbanisation and growth process, the paper analyses the electricity consumption trend in Karnataka, examine its causality with economic growth at aggregate and sectoral levels using Granger causality test, and forecast the future electricity consumption applying Holt-Winters smoothening (no seasonality) technique. The general trend reflects higher consumption by the agricultural consumers, compared to the revenue-generating 'Industries' and 'Commercial' categories, mainly due to the policy of de-metering and providing 'free' power to agricultural consumers since late 1980s. The Granger causality tests reveal that there is no causality relation (neutrality hypothesis) between electricity consumption and economic growth in Karnataka, for total, agricultural and industrial consumption. This basically stems from the inaccurate measurements of agricultural consumption, higher dependence on captive generation, and poor quality grid supply. Finally, electricity consumption is predicted to be around 69,347 GW h by 2019?20. Future policies should focus on universal metering, reducing cross-subsidization, supplying good quality and reliable power to all sectors, and economical planning of resource-mix to achieve adequate, productive and efficient electricity consumption. 2020 Elsevier Inc.
https://doi.org/10.1016/j.tej.2020.106768 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083007279&doi=10.1016%2fj.tej.2020.106768&partnerID=40&md5=fcf13417a34685ff5d57027c4033638a
Rajkumari L., Christ (deemed to be University), Bangalore, 560029, India