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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Kavita,
- Determinants of Obesity in Adolescent School Children in Gurgaon City, Haryana
Abstract Views :302 |
PDF Views:1
Authors
Affiliations
1 Department of Foods and Nutrition CCS Haryana Agricultural University, Hisar, IN
2 Research Scholar, NDRI Karnal, Haryana, IN
3 Department of HDFS CCS Haryana Agricultural University, Hisar, IN
1 Department of Foods and Nutrition CCS Haryana Agricultural University, Hisar, IN
2 Research Scholar, NDRI Karnal, Haryana, IN
3 Department of HDFS CCS Haryana Agricultural University, Hisar, IN
Source
Indian Journal of Health and Wellbeing, Vol 4, No 6 (2013), Pagination: 1371-1373Abstract
The present investigation was conducted on school going children (9-15 years) from Gurgaon city, Haryana state India. A total of 200 obese and 50 healthy children (as non-obese) were selected randomly. A well-structured questionnaire was developed and used to gather information on food habits, physical activity and dietary pattern of the children. The study revealed that more than 80% of the obese children were taking either mid-morning, tea time or bed time snacks. Intake of fried food and weekly frequency of food consumption outside home was higher (59%) in obese children as compared to control group children. Playing of games was the main activity of non-obese group children (36%).Majority of obese children (78%) were not doing any physical activity and only 7% obese children were doing cycling and 13% were doing walking. Majority of non-obese group children spent less than 2hrs for TV and internet whereas 81% of obese children spent more than 2hrs for TV and internet. It was noticed that more than fifty percent of obese children spent less than 6hrs for sleeping.Keywords
Obesity, School Children.- A Study of Psychological Wellbeing and Locus of Control among Students
Abstract Views :216 |
PDF Views:0
Authors
Kavita
1,
Dalbir Singh Saini
2
Affiliations
1 Sai Nath University, Ranchi, Jharkhand, IN
2 Hisar, Haryana, IN
1 Sai Nath University, Ranchi, Jharkhand, IN
2 Hisar, Haryana, IN
Source
IAHRW International Journal of Social Sciences Review, Vol 2, No 2 (2014), Pagination: 152-154Abstract
The present study examined relation in different components of psychological wellbeing and locus of control. The sample was comprised of 400 students (boys and girls) in the age range of 17 to 26 years from university level. Pearson' Product Moment Correlation Method was used to evaluate the correlation. The results indicated the significant relations in most of the variables of psychological wellbeing and locus of control.Keywords
Psychological Wellbeing, Locus of Control, Students.- Components of Psychological Wellbeing
Abstract Views :204 |
PDF Views:0
Authors
Kavita
1,
Dalbir Singh Saini
2
Affiliations
1 Sai Nath University, Ranchi, Jharkhand, IN
2 Hisar, Haryana, IN
1 Sai Nath University, Ranchi, Jharkhand, IN
2 Hisar, Haryana, IN
Source
IAHRW International Journal of Social Sciences Review, Vol 2, No 2 (2014), Pagination: 179-181Abstract
Psychological well-being is about lives going well. It is the combination of feeling good and functioning effectively. Sustainable well-being does not require individuals to feel good all the time; the experience of painful emotions (e.g. disappointment, failure, grief) is a normal part of life, and being able to manage these negative or painful emotions is essential for long-term well-being. Psychological well-being is, however, compromised when negative emotions are extreme or very long lasting and interfere with a person's ability to function in his or her daily life. The present paper reviews the different components of psychological wellbeing.Keywords
Psychological Wellbeing, Components.- Prevalence of Obesity in School Children
Abstract Views :280 |
PDF Views:0
Authors
Affiliations
1 Department of Foods and Nutrition, CCS Haryana Agricultural University, Hisar, IN
2 NDRI, Karnal, Haryana, IN
3 Department of HDFS, CCS Haryana Agricultural University, Hisar, IN
1 Department of Foods and Nutrition, CCS Haryana Agricultural University, Hisar, IN
2 NDRI, Karnal, Haryana, IN
3 Department of HDFS, CCS Haryana Agricultural University, Hisar, IN
Source
Indian Journal of Health and Wellbeing, Vol 4, No 8 (2013), Pagination: 1533-1536Abstract
The present investigation was conducted on school going children (9-15 years) from Hisar and Gurgaon city, Haryana state India. A total of 400 obese children were selected randomly (200 each from both cities). Hundred healthy school going children having no history of obesity and matching the same age as those of obese children were taken as control (50 each from both cities). The information on socio-economic status, food habits and dietary pattern of the children was gathered using self-developed questionnaire. The study revealed that prevalence of obesity was higher (7.41%) among school going children from Gurgaon city as compared to Hisar city (5.79%). It was observed that mean values for most of the anthropometric parameters for obese respondents were significantly higher than non-obese group respondents.The study revealed that a higher percentage (57.5%) of obese children were from 12-15yr age group. Majorities of non-obese group (76%) as well as obese children were from nuclear families having up to five members in the family. Total monthly income of the family of obese respondents was above Rs. 15,000. Ten percent of non-obese children's fathers were above graduate whereas 30 to 36% of obese children's fathers were above graduate in Gurgaon and Hisar city,respectively. Income of the family of obese respondents was found positively associated with weight of obese respondents.Keywords
Obesity, School Children.- Research Paper on Impact of Macroeconomic Variables on Mutual Funds in India
Abstract Views :369 |
PDF Views:6
Authors
Kavita
1,
J. S. Pasricha
2
Affiliations
1 Department of Commerce, Punjabi University, Patiala, IN
2 Department of Commerce, Punjabi University-Patiala, IN
1 Department of Commerce, Punjabi University, Patiala, IN
2 Department of Commerce, Punjabi University-Patiala, IN
Source
MERI-Journal of Management & IT, Vol 10, No 2 (2017), Pagination:Abstract
Any investment decision necessitates the prior evaluation of risk and reward attributes associated with investing in a particular security or portfolio of securities. With the plethora of schemes to choose from and increasing awareness amongst the general public, mutual funds have been emerging as a desired investment option in comparison to other investment avenues. However, before making an investment decision, the investor has to examine the various macroeconomic factors. There are numerous variables at the economy, industry and the company level which have an influence on the investment choices of the investors. In this context, the present study attempts to ascertain the macroeconomic factors which have an impact on the mutual funds market. The association between the Mutual funds market and the macroeconomic variables has been analysed using Regression model. Further, the Existence of causal relationship has been analysed using the Granger Causality test. It is apparent from the study that the Real macroeconomic variables considered for the analysis do not have a significant influence on the Mutual funds market and were not found to be reliable to even predict the market movements.Keywords
Macroeconomic, Regression, Granger Causality, Causal Relationship etc.References
- Ande, D.(2008). “Determining factors affecting the performance of Indian mutual funds”, PhD Thesis, SVKM's NMIMS University.
- Chang, E.C. and Wang, Y. (2002), “A study of Mutual Fund Flow and Market Return Volatility”, available online at www.hiebs.hku.h/working-paper-updates/pdf/wp1065.pdf., accessed on November 19, 2014.
- Chander, R. (2000), “Performance Appraisal of Mutual Funds in India”, Finance India, 14 (4), December 2000, p. 1256-1261.
- Chimwal (2011), “Impact of Foreign Institutional Investment Flow on Indian Stock Market”, PhD Thesis, Kumaun University, Nainital
- Diaconasu (2011), “ The role of mutual funds in U.S. economy”, The Annals of The "Stefan cel Mare", Vol.11, No.2, pp. 239-244.
- Goel, S. (2013), “ Performance of Mutual Funds and Investors' behavior”, Ph.D Thesis, Jaypee Institute of Information Technology.
- Gupta, A. (2002), “Investment Performance of Indian Mutual Funds: An Empirical Study”, Finance India, September 2002, p.833-847.
- Jain, S. (2005), “Growth and performance of mutual funds in India”, PhD Thesis, Punjabi University.
- Kumar and Arora (2013), “ Investors perception about Mutual Funds in India: An empirical Study”, Jan 2013, Indian Journal of Finance, pp 44-51.
- Oh, N.Y. and Parwada, J.T. (2007), “ Relations between Mutual Fund Flows and stock market returns in Korea”, International Financial Markets, Institutions and money, No.17, pp.140-151.
- Rao and Daita(2012). “ Fundamental factors influencing investments of Mutual Funds- the EIC Approsch: A case study of RCAML”, June 2012, Indian Journal of Finance, pp 4-13.
- Hall Effect on Magneto-Thermal Stability of Rivlin-Ericksen Ferromagnetic Fluid Saturating a Porous Medium
Abstract Views :154 |
PDF Views:3
Authors
Affiliations
1 Department of Mathematics and Statistics, Himachal Pradesh University, Shimla-5, IN
2 Department of Mathematics, Govt. Degree College Diggal, Distt. Solan (H.P), IN
1 Department of Mathematics and Statistics, Himachal Pradesh University, Shimla-5, IN
2 Department of Mathematics, Govt. Degree College Diggal, Distt. Solan (H.P), IN
Source
Research Journal of Science and Technology, Vol 9, No 1 (2017), Pagination: 160-166Abstract
This paper deals with the electrically conducting and numerical investigation of the effect of Hall currents on the thermal stability of a ferromagnetic viscoelastic fluid heated from below saturating porous medium. The rheology of the fluid in described by the Rivlin-Ericksenian. The boundaries are considered to be stress-free. The eigen-value problem obtained using linear stability theory and normal mode technique is solved numerically using the Galerkin technique and the software MATHEMATICA by assuming the trial functions satisfying the boundary conditions. A dispersion relation governing the effects of medium permeability, a uniform horizontal magnetic field, magnetization and Hall currents is derived. For the case of stationary convection, it is found that the magnetic field and magnetization have a stabilizing effect on the system, as such their effect is to postpone the onset of thermal instability, whereas the Hall currents are found to hasten the onset of convection under certain conditions.- A Study of Certain Socio-Psychological Characteristics of Traunt and Non-Traunt High School Students
Abstract Views :256 |
PDF Views:96
Authors
Kavita
1,
Vipul Narang
1
Affiliations
1 Kenway College of Education, Abohar, IN
1 Kenway College of Education, Abohar, IN
Source
Sadbhavana-Research Journal of Human Development, Vol 3, No 2 (2013), Pagination: 23-27Abstract
The purpose of the present research was to study the intelligence, test anxiety and school satisfaction of truant and non-truant high school students of District solan and Shimla (H.P.) The sample consisted of 100 truant and non- truant students selected randomly from different Govt. Schools. Survey method was used for the collection of data. Test anxiety scale for children by Dr.A.Kumar(Hindi version of Sarason's 1960), General Mental Ability Test 1972 ( Hindi Version) by Dr. S.Jalota and Sharma Adolescents' School Satisfaction Inventory by Dr.Meenakshi Sharma (1991) was used to test the level of intelligence, satisfaction, and level of anxiety. Insignificant difference was found between the school environment of truant and non- truant student and significant difference was found between the level of intelligence and anxiety level of truant and non-truant. Concluded that the anxiety level and intelligence play significant for being truant and non-truant.Keywords
Truant, Non-Truant, Intelligence, Test Anxiety, School Satisfaction.- A Study of Achievement Motivation of Prospective Teachers in Relation to their Academic Performance
Abstract Views :261 |
PDF Views:104
Authors
Kavita
1,
Aruna Anand
2
Affiliations
1 D.A.N. College of Education for Women, Nawanshahr, IN
2 Anand College of Education, Jethuwal, Amritsar, IN
1 D.A.N. College of Education for Women, Nawanshahr, IN
2 Anand College of Education, Jethuwal, Amritsar, IN
Source
Sadbhavana-Research Journal of Human Development, Vol 2, No 1 (2012), Pagination: 64-76Abstract
The present study has been undertaken to compare the achievement motivation of prospective teachers in relation to their Academic Performance. A sample consisting of 842 prospective teachers was taken from teacher education colleges affiliated to Guru Nanak Dev University, Amritsar. The data was analyzed using Pearson's Product Moment Correlation and Analysis of Variance. The data revealed that there was no relationship between achievement motivation and academic performance of prospective teachers. It was found that there was no significant interaction influence of achievement motivation, gender and achievement motivation, location on academic performance of prospective teachers.- Detection of Wormhole Attack in VANET
Abstract Views :183 |
PDF Views:2
Authors
Affiliations
1 Kurukshetra University, Kurukshetra, IN
2 E-Max Institute of Engineering, IN
1 Kurukshetra University, Kurukshetra, IN
2 E-Max Institute of Engineering, IN
Source
National Journal of System and Information Technology, Vol 10, No 1 (2017), Pagination: 71-80Abstract
As security is one of the important issues in Vehicular Adhoc Networks (VANETs), it is required to deal with the threats related to them and one such severe threat is the wormhole attack in which the hacker node grabs the network traffic from one point and directs to another location that may drop the packets. In this paper, a scheme has been proposed which includes the RTT (Round Trip Time), usage level of links and count of neighbors to find the wormhole nodes in VANET. The proposed scheme is assessed and simulated against AODV protocol on NS-2 simulator. The efficiency of the nominated scheme is validated through simulation results.Keywords
VANET, Wormhole Attack, Security, Detection.References
- A. Singh and M. Singh, "A comprehensive review on vehicular ad hoc network," International Journal of Advanced Research in Computer and Communication Engineering, vol. 4, no. 4, pp. 462-468, 2015.
- R.S. Raw, M. Kumar and N. Singh, "Security challenges, issues and their solutions for VANET," International journal of Network Security & Its Applications (IJNSA), vol. 5, no. 5, pp. 95-105, 2013.
- A. Harikishan and P. Srinivasulu , "Intrusion detection system using fuzzy inference system," International Journal of Computer & Organization Trends, vol. 3, no. 8, pp. 345-352, 2013.
- V. K. Upadhya and R. K. Shukla, "WPAODV: Wormhole Detection and Prevention Technique", International Journal of Advanced Networking and Applications, vol. 5, no. 3, p. 1922, 2013.
- R. Karthiga and P. Suresh, "Optimization of Pattern Matching Algorithm for Network Intrusion detection System," International Journal of Advanced Research in Computer Science & Technology (IJARCST), vol. 2, no. 1, pp. 20-24, 2014.
- A. Aggarwal and A. Saxena, "Wormhole Detection and Prevention Scheme using Beacon Node Mechanism with Neighbor Node Discovery", International Journal of Computer Science and Information Technologies(IJCSIT), vol. 5, no. 5, pp. 6620-6625, 2014.
- C. Ting, "Detection system and the realization of the principle of BP neural network based intrusion," in 2015 Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), Nanchang, 2015.
- S. Eidie, B. Akbari and P. Poshtiban, "WANI: Wormhole Avoidance using Neighbor Information", Information and Knowledge Technology (IKT), 2015 7th Conference on, pp. 1-6, 2015.
- S. K. Arora and H. Monga, "Combined Approach for the Analysis of Black Hole and Worm Hole Attack in MANET", Indian Journal of Science and Technology, vol. 9, no. 20, 2016.
- A. Radhika and D. Haritha, "Detection and Prevention of Blackhole Attack, Wormhole Attack in MANET Using ACO", International Journal of Engineering and Applied Sciences (IJEAS), vol. 3, no. 1, 2016.
- E. Altman and T. Jimenez, "NS Simulator for beginners," in Lecture notes, France, 2003.
- Volatility of Indian Stock Market-A Study of BSE Sensex
Abstract Views :331 |
PDF Views:5
Authors
Kavita
1
Affiliations
1 Punjabi University, Patiala, IN
1 Punjabi University, Patiala, IN
Source
MERI-Journal of Management & IT, Vol 11, No 1 (2017), Pagination: 67-77Abstract
BSE Sensex is India’s benchmark index for Indian equity market. The present study attempts to analyse whether the Past Sensex returns has an explanatory power for today’s Sensex returns. Daily data of BSE closing prices from April 2000 to March 2015 has been used for the study. BSE Sensex returns have been estimated as the first difference of the log of the daily closing prices. GARCH (1, 1) has been developed to model the volatility of BSE Sensex returns. The results revealed that Past Sensex returns have GARCH effect in the today’s Sensex returns.Keywords
Heteroscedasticity, ARCH, GARCH, Volatility, BSE Sensex, Stock Market Returns, Lagged Returns.References
- Andersen, T.G., (1996) “Return Volatility and Trading Volume: An information flow interpretation of stochastic volatility”, Journal ofFinance, 51,169-204.
- Al-KhouriRitab S. and Moh’d M. Ajlouni (2007) “Narrow Price Limit and Stock Price Volatility: Empirical Evidence from Amman Stock Exchange” International Research Journal of Finance and Economics 8; 163 180.
- Bekaert, G. and G. Wu, (2000) “Asymmetric Volatility and Risk in Equity Markets”, The Review of Financial Studies, 13, 1-42.
- Bollerslev, T. (1986), “Generalized Autoregressive Conditional Heteroscedasticity”, Journal of Econometrics, 307-327.
- Chen, G.; Firth, M; and Rui, O.M. (2001), The Dynamic Relation between Stock Returns, Trading Volume and Volatility, Financial Review 36: 153-173.
- De Medeiros, Otavio R. and Van Doornik, Bernardus F. N.,(2006) “The Empirical Relationship between Stock Returns, Return Volatility and Trading Volume in the Brazilian stock Market” Available at SSRN: http://ssrn.com/abstract=897340
- Dhingra, V.S., Gandhi, S. and Bulsara, H.P. (2016), “Foreign institutional Investments in India: An Empirical Analysis of Dynamic Interactions with stock market return and volatility”, IIMB Management Review, Vol.28, pp. 212–224.
- Dickey, D. A. & Fuller, W.A. (1979). Distribution of Estimators for Autoregressive Time Series with a Unit Root, Journal of the American Statistical Association, 74(366), 427-431.
- Dickey, D. A. & Fuller, W.A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root, Econometrica, 49(4), 1057-1072.
- Ding, Z., Granger, C.W.J. and Engle, R.F. (1993) A long memory property of Stock Market Returns and a new model, Journal of Empirical Finance, 1, 83–106.
- De Goeij, P., &Marquering, W. (2004), “Modelling the conditional covariance between Stock and Bond returns: A multivariate GARCH approach” Journal of Financial Econometrics, 2(4), 531-564.
- Floros, C. and Vougas, D.V. (2007), “Trading Volume and Returns Relationship in Greek Stock Index Futures Market: GARCH vs. GMM”, International Research Journal of Finance and Economics, Issue 12.
- Foster, F.D., and S. Viswanathan, (1995), “Can speculative trading explain the volumevolatility relation?”, Journal of Business and Economics Statistics,13,379-396.
- Garg, A. and Bodla, B.S. (2011), “Impact of the Foreign Institutional Investments on Stock Market: Evidence from India”, Indian Economic Review, Vol. 46, No. 2, pp. 303-322.
- Glosten, L.R., R. Jagannathan, and D.E. Runkle, (1993), “On the relation between the expected value and the Volatility of the nominal excess returns on stocks”, Journal of Finance, 48, 1779- 1801.
- Griffin, M., F. Nardari, and R. M. Stulz (2007) “Do Investors Trade More When Stocks Have Performed Well? Evidence from 46 Countries” Review of Financial Studies 20(3): 905 - 951.
- Jennings, R. H., L.T. Starks, and J.C. Fellingham, (1981), “An equilibrium model of asset trading with sequential information arrival”, Journal of Finance, 36,143-161.
- Jinho, B., Chang-Jin, K., & Nelson, C. R. (2007), “Why are stock returns and volatility negatively correlated? Journal of Empirical Finance, 14(1), 41-58.
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- S. Ananthanarayanan, C. Krishnamurti, N. Sen (2009), “Foreign institutional investors and security returns: Evidence from Indian stock exchanges”, Paper presented at the Proceedings of the 7th INFINITI Conference on International Finance 2009-Credit Markets, Credit Institutions and Macroeconomic Volatility.
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- Smirlock, M., and Starks, L.T. (1988)An empirical analysis of the stock price-volume relationship. Journal of Banking and Finance 12: 31-41.
- Torben G. Andersen, (1996), “Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility”, Journal of Finance, 51:1,169-204.
- Y. Hamao, Mei J. (2001), “Living with the “enemy”: An analysis of foreign investment in the Japanese equity market”, Journal of International Money and Finance, Vol. 20, No. 5, pp. 715-735.
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- http://www.bseindia.com/indices/IndexArchiveData.aspx
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- Bibliometrics of Information Technology:Yesterday, Today and Tomorrow
Abstract Views :283 |
PDF Views:31
Authors
Affiliations
1 CSIR-National Institute of Science, Technology and Development Studies (CSIR-NISTADS), Dr K.S. Krishnan Marg, New Delhi 110012, IN
2 Department of Library and Information Science, University of Delhi, Maurice Nagar, Delhi − 110007, IN
3 Maharaja Agrasen Institute of Technology, Sector 22, Rohini, Delhi − 100086, IN
1 CSIR-National Institute of Science, Technology and Development Studies (CSIR-NISTADS), Dr K.S. Krishnan Marg, New Delhi 110012, IN
2 Department of Library and Information Science, University of Delhi, Maurice Nagar, Delhi − 110007, IN
3 Maharaja Agrasen Institute of Technology, Sector 22, Rohini, Delhi − 100086, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 54, No 6 (2017), Pagination: 277-284Abstract
The study presents a bibliometric analysis of 270 papers presented at the international conference “Information Technology: Yesterday, Today and Tomorrow” organized by the Defence Scientific Information and Documentation Center (DESIDOC), Delhi, of the Defence Research and Development Organization (DRDO) during February 19-21, 2015. The study indicates that more than half of the total presentation was contributed by academic institutions (universities and colleges). Distribution of contributions by country and Indian States indicates that out of 270 papers, only seven were from foreign countries and rest 263 from India. Delhi topped the list among the contributing cities, while DESIDOC topped the list among the contributing institutions. Output of authors by gender indicates that male authors contributed more than female authors. The distribution of references cited in the papers shows that among the different information sources, journal citations were the highest and highest number of cited journals was in the discipline of library and information science. The highest number of cited journals was being published from the USA.Keywords
Artificial Intelligence, Bibliometrics, Conference, Digital Services, Electronic Resources, Information Technology, Networking.References
- Ali A. (2006). Ane’s Encyclopedic Dictionary of Library and Information Science,1, New Delhi, Ane Books India, p.206.
- Kumar A, Prakasan ER, Kalyane VL and Kumar V. (2008).Pramana: A Journal of Physics, Annals of Library and Information Studies. 55(1): 201−11.
- Garg KC, Sharma P and Kumar S. (2008) Scientometric profile of the journal Mausam, Annals of Library and Information Studies. 55(1):76−80.
- Kumar M and Moorthy AL. (2011). Bibliometric analysis of DESIDOC Journal of Library and Information Technology during 2001-2010, DESIDOC J. Lib. and Inf. Technol.31(3):203−08.
- Garg KC and Anjana AK. (2014). Journal of intellectual property rights: A bibliometric study, DESIDOC J. Lib. and Inf. Technol. 34(1):66−73.
- Bartneck C and Hu J. (2009). Scientometric analysis of the CHI proceedings. Proceedings of the Conference on Human Factors in Computing Systems (CHI2009), Boston, p. 699−708. DOI: Crossref.
- Shamir L. (2010). The Effect of Conference Proceedings on the Scholarly Communication in Computer Science and Engineering. Scholarly and Research Communication. 1(2).Retrieved on 10 March, 2017. Available at: www.src-online.ca. Crossref.
- Lisee C, Lariviere V and Archambault E. (2008). Conference proceedings as a source of scientific information, Journal of the American Society for Information Science and Technology. 59(11):1776–84. Crossref.
- Garg KC and Kavita. (2015). A Bibliometric study, Papers presented at the International Conference The Role of Science and Technology in Global Development, LIS Links, 1(4):2−8.
- Garg KC and Bebi. (2015). Content to connectivity: Paradigm shifts in knowledge innovation, information representation, information management systems and librarianship, Library Herald. 53(4):414−23. Crossref.
- Garg KC, Dutt B and Kumar S. (2006). Scientometric profile of Indian science as seen through Science Citation Index, Annals of Library and Information Studies.53(3):114−25.
- Madani S., Carnevale RJ, Duda S, Feyder M and Aronsky D.(2006). Prevalence and inaccessibility of URLs in the biomedical literature. In: AMIA Annual Symposium Proceedings, p. 1019. American Medical Informatics Association, 2006. PMCid: PMC1839732.
- A Study on Volatility of S&P CNX Nifty in Indian Securities Market
Abstract Views :438 |
PDF Views:6
Authors
Kavita
1
Affiliations
1 Management Education and Research Institute, New Delhi, IN
1 Management Education and Research Institute, New Delhi, IN
Source
MERI-Journal of Management & IT, Vol 11, No 2 (2018), Pagination: 14-25Abstract
S&P CNX Nifty is national stock exchange of India’s benchmark stock market index for Indian equity market. The present paper attempts to investigate whether the Previous day’s Nifty returns has an explanatory power for today’s Nifty returns. Daily data of sample of 3671 observations from January 2000 to December 2015 has been used for the study. CNX Nifty returns are calculated as the first difference of the log of the daily closing price. GARCH (1,1) has been developed to model the volatility of CNX Nifty returns. The GARCH model is a time series modeling technique which provides for Heteroscedasticity in the observed returns. Empirical results have shown that previous day’s Nifty returns have GARCH effect in the today’s Nifty returns.Keywords
Heteroscedasticity, ARCH, GARCH, Volatility, CNX Nifty, Lagged Returns.References
- Alexakis, C., Niarchos, N., Patra, T. and Poshakwale, S. (2005), “The Dynamics Between Stock Returns and Mutual Fund Flows: Empirical Evidence from the Greek Market”, International Review of Financial Analysis, Vol. 14 No. 5, pp. 559-569.
- Atmeh, Muhannad A. and Dobbs (2006), “Technical Analysis and the Stochastic Properties of the Jordanian Stock Market Index Return”, Studies in Economics and Finance, Vol. 23, No. 2, pp. 119 – 140.
- Batra, A. (2004), “Foreign Institutional Investors: An Introduction”, ICFAI University Press, pp.107-111.
- Bekaert, G. and G. Wu, (2000) “Asymmetric Volatility and Risk in Equity Markets”, The Review of Financial Studies, Vol. 13, pp. 1-42.
- Bhora, Singh, N. and Dutt, A. (2011), “Foreign Institutional Investment in Indian Capital Market, International Research Journal of Finance and Economics, Vol. 11, No. 68, pp.104-116.
- Carhart, M. (1997), “Persistence in Mutual Fund Performance”, Journal of Finance, Vol. 52, No.1, pp. 57–82.
- Edelen, R. and Warner, J. (2001), “Aggregate Price Effects of Institutional Trading: a Study of Mutual Fund Flow and Market Returns”, Journal of Financial Economics, Vol. 59, No.2, pp. 195-220.
- Edwards, F. and Zhang, X. (1998), “Mutual Funds and Stock and Bond Market Stability”, Journal of Financial Services Research, Vol. 13, No.3, pp. 257-282.
- Elton, E., Gruber, M. and Blake, C. (1996), “The Persistence of Risk-adjusted Mutual Fund Performance”, Journal of Business, Vol. 69, No.2, pp. 133-157.
- Fang, H., Lu, Y. and and Yau, Y. (2014), “The Effects of Stock Characteristics on the Direction and Extent of Herding by Foreign Institutional Investors in the Taiwan Stock Exchange”, Emerging Markets Finance and Trade, Vol. 50, No. 2, pp. 60-74.
- Fant, L. (1999), “Investment Behavior of Mutual Fund Shareholders: The Evidence from Aggregate Fund Flows”, Journal of Financial Markets, No. 2, pp. 399-422.
- Floros, C. and Vougas, D.V., (2007), “Trading Volume and Returns Relationship in Greek Stock Index Futures Market: GARCH vs. GMM”, International Research Journal of Finance and Economics, No. 12.
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- Warther, V. (1995), “Aggregate Mutual Fund Flows and Security Returns”, Journal of Financial Economics, Vol. 39, No.2-3, pp. 209-235.
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- Comparative Study of Gross Value Added by Different Sectors of Indian Economy
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Authors
Affiliations
1 Department of Agriculture Economics CCSHAU, Hisar, Haryana, IN
2 Extension Lecturer Government College, Haryana, IN
3 HSB, GJUS&T, Hisar, Haryana, IN
1 Department of Agriculture Economics CCSHAU, Hisar, Haryana, IN
2 Extension Lecturer Government College, Haryana, IN
3 HSB, GJUS&T, Hisar, Haryana, IN
Source
International Journal of Education and Management Studies, Vol 8, No 2 (2018), Pagination: 242-248Abstract
Current study was based on the secondary data in order to compare the gross value addition by different sectors of the Indian economy namely; Agriculture, Forestry and Fishing, Industry, Mining and Quarrying, Manufacturing, Electricity, Gas, Water Supply and Other Utility, Services, Construction, Hotels, transport, communication and services related to broadcasting, Financial, Real Estate and Professional Services, and Public Administration, Defence and Other Services. Researcher also aims to measure the trend or growth of the gross value addition of these sectors during the year 2011- 18. Data has been taken from the annual publication of the RBI related to the Indian economy for the above mentioned period. Trend or growth in the share of different sectors to the total gross value added of Indian economy, has been shown using graphs while the comparative study of Gross value addition by different sectors of Indian economy has been done using descriptive statistics and the One-way ANOVA test. Further, researcher has done post-hoc analysis using Turkey's test to highlight the particular groups of variables where the mean values were found to be significantly different if any. Welch test has been used to measure the equality of means. It was found that overall there is a growth in the gross value addition of the Indian economy during the year 2011-12 to 2017-18. All the sectors are showing growth in their share in the gross value addition of Indian economy, except for construction, Agriculture, Forestry and Fishing and Electricity, Gas, Water Supply and Other Utility sector. While, in Mining and Quarrying sector have shown consistency in the gross value addition during the period 2011-12 to 2017-18. The highest percentage of gross value addition was found to be of Services sector and lowest percentage of Gross value addition was found of Electricity, Gas, and Water Supply and Other Utility sector. This shows that service sectors are contributing highly towards the gross value addition of the Indian economy while Electricity, Gas, Water Supply and Other Utility sector is contributing lowest to the gross value addition of Indian economy. Further, the study showed the significant difference in the gross value addition of different sectors of Indian economy.Keywords
Indian Economy, Gross Value Addition, Industrial Sector, Service Sector, Trend or Growth Analysis.References
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- Cehla et al. (2016). Factors influencing the gross value added in the sheep production Chain. Applied Studies in Agribusiness and Commerce, pp. 141-146.
- Dev (2017). Recent changes in measurement of India's GDP: Overall issues and some focus on agriculture. Indira Gandhi Institute of Development Research, pp. 1 -47.
- Goldar, B., & Arup, M. (2013). Small versus large manufacturing units: How efficient are they? JournalofAsia Pacific Economy, 75(4), 634-653.
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- Lehmann, R., & Klaus, W. (2013). Forecasting gross value-added at the regional level: Are sectoral disaggregated predictions superior to direct ones? Leibniz Institute for Economic Research, University ofMunich, December 2013, September 2014, pp. 1-22.
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- Schildbach (2007). Gross value-added in the financial sector. Deutsche Bank Research, pp.1-2.
- Singh, S., & Mehala, V (2016). Agriculture development level disparities in Indian states. InternationalJournal ofAgriculture Sciences, 5(62), 3533-3535.
- Volek, T., & Martina, N. (2015). Gross value added and total factor productivity in czech sectors. Contemporary Economics, 9(l),17-28.
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- Financial Inclusion:A Study of Banking Expansion in India
Abstract Views :179 |
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Authors
Affiliations
1 Department of Agriculture Economics, CCSHAU, Hisar, Haryana, IN
2 Government College, Haryana, IN
3 HSB, GJUS&THisar and C.M.K. National, P.G Girls' College, Sirsa, Haryana, IN
4 HSB, GJUS&T, Hisar, Haryana, IN
1 Department of Agriculture Economics, CCSHAU, Hisar, Haryana, IN
2 Government College, Haryana, IN
3 HSB, GJUS&THisar and C.M.K. National, P.G Girls' College, Sirsa, Haryana, IN
4 HSB, GJUS&T, Hisar, Haryana, IN
Source
International Journal of Education and Management Studies, Vol 8, No 2 (2018), Pagination: 253-257Abstract
The central objective of current research is to compare and contrast the level or intensity of financial inclusion in different provinces of India. For the purpose of the study, all India has been classified into six provinces such as, northern states, north eastern areas, eastern areas, central area which include Madhya Pradesh, western states, and southern province. The base of the study was secondary data related to the numerous variables which shows the level of financial inclusion. All the data has been extracted from the official website RBI which is called banker's bank. Mainly two major parameters have been considered in the study for evaluation of the intensity of the financial inclusion. These parameters or variables are namely; Access of financial services and the level of Usage of financial services. Here, the access has been evaluated in terms of, number of bank offices and the employees of the banks, while the usage has been evaluated in terms of, number of credit accounts or loan accounts and deposit accounts in the banks. Further, a financial inclusion index was developed by researchers in terms of credit and deposit accounts per bank office and per bank employee in a particular region. The study exposed that in India financial inclusion is highest in southern province and lowest innorth eastern province.Keywords
Financial Inclusion, Commercial Banks, India, Regional, Bank Offices, Credit Accounts.References
- Altai", N. (2014). Towards financial inclusion. Global Journal of Commerce and Management Perspective, 3(4), 128-131.
- Banerjee, S., & Francis, G. (2014). Financial inclusion and social development. International Journal of Scientific Research and Management (IJSRM, Special Issue on National Level Conference Business Growth and Social Development, pp. 13-18.
- Dangi, N., & Kumar, P. (2013). Current situation of financial inclusion in India and its future visions. International Journal of Management and Social Sciences Research (IJMSSR), 2(8), 155-166.
- Garg, B. (2014). Financial inclusion and rural development. Journal of Commerce, 2(1), 1-6.
- Hameedu, S. (2014). Financial inclusion: Issues in measurement and analysis. International Journal of Current Research and Academic Review, 2(2), 116-124.
- Kalunda, E. (2014). Financial Inclusion Impact on Small-Scale tea farmers in Nyeri County, Kenya. World Journal of Social Sciences, 4(1), 130-139.
- Nwankwo, O.F., & Nwankwo, O.N.O. (2014). Sustainability of financial inclusion to rural dwellers in Nigeria: Problems and way forward. Research Journal of Finance and Accounting, 5(5), 24-31.
- Nagaraja, S., & Pallavi, S. (2013). Kusugal financial inclusion and rural development. Global Research Analysis, 2(1), 188-189.
- Napate, S. (2013). Financial inclusion in India. International Conference on Technology andBusiness Management March 18-20.
- Porkodi & Aravazhi (2013). Role of micro finance and self help groups in financial inclusion. International Journal of'Marketing, Financial Services and Management Research, 2(3), 137-149.
- Soeb, M.O.F., & Noman, S. (2013). The financial inclusion: A district wise study on Bangladesh. International Journal of Economics, Finance and Management, 2(4), 291-295
- Shashikumar, T.P, Rangaswamy, K., &Kiran, S.P (2013). Financial inclusion in India: An Overview. Research Explorer Journal, 2(6), 13-15.
- Shankar, S. (2013). Financial inclusion in India: Do micro-finance institutions address access barriers? ACRN Journal of EntrepreneurshipPerspectives, 2(1), 60-74.
- Sahu, K.K. (2013). Commercial banks, financial inclusion and economic growth in India. InternationalJournal of'Business andManagement Invention, 2(5), 01-06.
- Sharma,A., &Kukreja, S. (2013). An analytical study: Relevance of financial inclusion for developing nations. Research Invent: International Journal of Engineering and Science, 2(6), 15-20.
- Vivekanandan, N.R (2013). Financial Inclusion in India-A Path Towards Inclusive Economic Growth (April 30, 2013). Available at SSRN: http://ssrn.com/abstract=ivekanandan, N.R, Financial Inclusion in India - A Path Towards Inclusive Economic Growth (April 30, 2013). Available at SSRN: http://ssrn.com/abstract=2294779 or http://dx.doi.org/10.2139/ssrn.2294779
- Wambua, S.M., & Datche, E. (2013). Innovative factors that affect financial inclusion in banking industry. A case study of Equity Bank Mombasa County, Kenya. International Journal of Sciences: Basic and Applied Research (IJSBAR), 12(1), 37-56.
- Measuring Impacts of Fertilizers and Pesticides on the Agriculture Production
Abstract Views :256 |
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Authors
Affiliations
1 Department of Agrieultnre Eeonomies CeSHAU, Hisar, Haryana, IN
2 Extension leeturer in Government College, Haryana, IN
3 HSB, GJUS&T Hisar, Haryana, IN
4 Department ofEeonomies, Knmkshetra University, Kumkshetra, Haryana, IN
1 Department of Agrieultnre Eeonomies CeSHAU, Hisar, Haryana, IN
2 Extension leeturer in Government College, Haryana, IN
3 HSB, GJUS&T Hisar, Haryana, IN
4 Department ofEeonomies, Knmkshetra University, Kumkshetra, Haryana, IN
Source
Indian Journal of Health and Wellbeing, Vol 9, No 6 (2018), Pagination: 895-899Abstract
Researcher conducted this study to measure the impact of fertilizers and pesticides on the production of agriculture sector. Current research was based on the secondary data related to the usage of fertilizers and the pesticides by Indian farmers for agriculture and the total production of the agriculture sector. Data has been taken trom the official reports of the Ministry of Agriculture and the period reported for the data was of fifteen years starting from 2001 to 2016. It was found from the study that agriculture production and the yield per hectare both are associated with the usage of fertilizers in the country. Agriculture production will get increase with the increased usage of fertilizers. While pesticides do not ensure any increase in the agriculture production. Further, it was found from the study that even if there is an increase in the net irrigated area, but still the agriculture production has not increased.Keywords
Agriculture Production, Fertilizers, Pesticides, India, Irrigated Area, Consumption, Yield Per Hectare.References
- Barabasz, W., Albi, N.D., Jaskowska, M., & Lipiec, J. (2002). Biological effects of mineral nitrogen fertilization on soil microorganisms. Polish Journal of Environmental Studies, U, 193-198.
- Brundrett, M.C. (2008). Mycorrhiza associations, the web resource. Available at: http://mycorrhizas.info/index.html (accessed29 September 2009).
- Bi, Y.L., Li, X.L., & Christie, P. (2003). Influence of early stages of carbuncular mycorrhiza on uptake of zinc and phosphorus by red clover from a low phosphorus soil amended with zinc and phosphorus. Chemosphere, 50, 831-837. doi:10.1016/S0045-6535(02)00227-8
- Carvalho, F.P. (2006). Agriculture, pesticides, food security and food safety.
- Chu, C., Plate, H., & Matthew, D.L. (1984). Fertilizer injury to potatoes as affected by fertilizer source, rate and placement. American Jour-nal of Potato Research, 55, 117-121.
- Emmanuel, B.,Fagbola, O., & Osonubi, O. (2012). Influence of fertiliser application on the occurrence and colonisation of carbuncular mycorrhiza fungi (AMF) under maize/Centrosema and sole maize systems. SoilResearch, 50, 76-81. http://dx.doi. org/10.1071/SR11254
- Fagbola, O., Osonubi, O., & Mulongoy, K. (1998a). Growth of cassava cultivar TMS 30572 as affected by alley-cropping and mycorrhiza inoculation. Biology and Fertility of Soils, 27, 914. doi:10.1007/s003740050392.
- Government of Bangladesh (GOB). 1995a: Topic report o-n pesticide a-ndfertilizer use in Bangladesh. Ministry of Agriculture, National Minor Irrigation Development Project ConsultantreportpreparedbyWilliamHalcrow& Partners Ltd. (February).
- Gosling, P., Hodge, A., Goodlass, G., & Bending, G.D. (2006). Carbuncular mycorrhiza fungi and organic farming. Agriculture, Ecosystems and Environment, U3,17-35.
- Harrier, L.A., & Watson, C.A. (2004). The potential role of carbuncular mycorrhiza (AM) fungi in the bio protection of plants against soil-bome pathogens in organic and/or other sustainable farming systems. PestManagementScience, 60, 149-157. doi:10.1002/ps.820.
- Hu, J., Lin, X., Wang, J., Dai, J., Cui, X., Chen, R., & Zhang, J. (2009). Carbuncular mycorrhiza fungus enhances crop yield andP-uptake of maize (Zeamays L.): Afield case study on a sandy loam soil as affected by long-term P-deficiency fertilization. Soil Biology a-nd Biochemistry, 41, 2460-2465.
- Ikombo, B.M., Edwards, D.G., & Asher, C.J. (1991). The role of vesicular mycorrhizas (VAM) in phosphorous nutrition of cowpea (Vigna unguiculata, L. Walp.). Australian Journal of Agricultural Research, 42, 129-139. doi:10.1071/AR9910 129.
- Jansa, J., Wienken, A., & Frossard, E. (2006). The effects of agricultural practices on carbuncular mycorrhiza fungi. In E. Frossard, W.E.H. Blum, and B.P. Warkentin (Eds.), Functions of soils for human societies and environment (pp. 89-113). Geological Society: London.
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- Ministry of Agriculture (MOA) (2015). Handbook of Agricultural Statistics, December 2007: Agriculture Sector Review, MOA, May, 2015.
- Muthukumar, T., & Udaiyan, K. (2002). Growth and yield of cowpea as influenced by changes in carbuncular mycorrhiza in response to organic manuring. Journal of Agronomy and Crop Science, 755,123-132. oi:10.1046/
- Shah, A.L., Rahman, M.S., & Aziz, M.A. (2008). Outlook for fertilizer consumption and food production in Bangladesh. Bangladesh Jour-nal of Agriculture and Environmental, 4, 1-8. Soil Science Division Bangladesh Rice Research Institute.
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- Tandon, H.L.S., &Narayan,P. {990). Fertilizer in Indian agriculture past, present and future (1950-2000). FDCO, New Delhi, India.
- Measuring the Impact of Changes in Financial Assets and Financial Liabilities on the Household Sector Savings
Abstract Views :233 |
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Authors
Affiliations
1 Department of Agrieultnre Eeonomies CeSHAU, Hisar, Haryana, IN
2 Government College, Haryana, IN
3 Department of Agrieultnre Eeonomies, CeSHAU, Hisar, Haryana, IN
4 HSB, GJUS&T, Hisar, Haryana, IN
1 Department of Agrieultnre Eeonomies CeSHAU, Hisar, Haryana, IN
2 Government College, Haryana, IN
3 Department of Agrieultnre Eeonomies, CeSHAU, Hisar, Haryana, IN
4 HSB, GJUS&T, Hisar, Haryana, IN
Source
Indian Journal of Health and Wellbeing, Vol 9, No 5 (2018), Pagination: 781-785Abstract
Current studyaims to determine the current situtation of financial assets and liabilities of household sector in India. Researchers have also measured the relationship between household sector savings and the changes in financial assets or financial liabilities of the household sector. Study was based on the secondary data derived trom the annual publication of Reserve Bank of India tittles 'Statistics of Indian Economy'. Study covered the period trom 2011-12 to 2016-17. In order to determine the current situtaion of the financial assets and liabilities ofhousehold sector in India, researchers have used graphical and tabular form of data representation while for measuring the impact of changes in financial assets or financial libaiities of the household sector on the savings ofhoushold sector, linear regression analysis has been used. It was found that the changes in financial assets of the household sector has a positive and significant impact on the savings of household sector while changes in financial liabilities has a negative and insignificant impact on the savings ofhousehold sector.Keywords
Household Sector, India, Financial Assets, Financial Liabilities, Household Savings, Government.References
- Crockett, J. (1977). The choice between spending and saving, selected aspects of consumer behavior: A summary from the perspective of different disciplines. National Science Foundation, Washington, D.C.
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- Ferber, R. (1973). Consumer economics: A survey. Journal of Economic Literature, 77(4), 1303-1342.
- Hebbel, K. S., & Serven, L. (2000). Does income inequality raise aggregate saving? Journal of Development Economics, 61,415-446.
- Hayashi, F. (1987). Test for liquidity constraints: A critical survey and some new observations. Proc. the Advances in Econometrics, Fifth World Congress, 2, 91-120.
- Jianakoplos, N. A., Menchik, P. L., & Irvine, F. O. (1996). Saving behaviour of older households: Rate-of-retum, precautionary and inheritance effects. Economics Letters, Elsevier, 50(1), 111-120.
- Jappelli, T., &Padula, M. {2Q). Investment infinancial literacy and saving decisions. CSEF Working Papers 272, Center for Studies in Economics and Finance (CSEF), University ofNaples, Italy.
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- Lundman, U. (1969). Information and transactions on the stock market. EFI. Stockholm.
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- Park, D., & Shin, K. (2009). Saving, in-vestment and current accounts surplus in developing Asia. Asian Development Bank Working Paper 158. Asian Development Bank, Manila, Philippines (April).
- Rundel, D. E. (1991). Liquidity constraints and the permanent-income hypothesis: Evidence frompanel data. Journal of Monitary Economics, 27, 73-98.
- Xiao, J., & Olson, G. I. (1993). Mental accounting and saving behaviour. Home Economics Research Journal, 22(1), 92-109.
- Estimating the Religious Profile of Haryana:Observation of Sensus Evidences
Abstract Views :268 |
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Authors
Affiliations
1 Department of Geography, Dayanand College, Hisar, Haryana, IN
2 Department of Political Science, M.D. University, Rohtak, Haryana, IN
3 Department of Law, Kurukshetra University, Kurukshetra, Haryana, IN
1 Department of Geography, Dayanand College, Hisar, Haryana, IN
2 Department of Political Science, M.D. University, Rohtak, Haryana, IN
3 Department of Law, Kurukshetra University, Kurukshetra, Haryana, IN
Source
Indian Journal of Society and Politics, Vol 5, No SP 1 (2018), Pagination: 53-56Abstract
The belief or faith in God has remained an imperative issue of the study primarily in the social sciences because of the responsive spirit of the society as well as defined in copious ways. It is a matter of one’s own trust in deity and its composition is an important determinant of demographic as well as societal behavior. It is not amazing that despite of being a land of great multitudes, having various social order and commune connection, linguistic and cultural specification, as well as immense geographical span, the Indian society has eternal consensus with its fundamental time-honored principles. The study tries to analyses the religious composition of state Haryana with respect to secondary data of religion, census years of 2001 and 2011. Though the state greets to every religion yet Hindu religion has its dominance in the society with almost homogeneous prevalence.Keywords
Imperative, Deity, Religious Composition, Cultural Specification, Homogeneous.References
- Census of India (2011): Populations by Religious Communities. Registrar General & Census Commissioner, Ministry of Home Affairs, Governement of India.
- Elizabeth A. C. (2014): The Impact of Religion on Minority Identity and Community: A Case Study of Russian Orthodoxy And The Russian Minority In Estonia, Ph.D. Thesis, University of Tartu, European College, p 7.
- Global Religious Futures, (2012): The Global Religious Landscape: A Report on the Size and Distribution of the World’s Major Religious Groups as of 2010. Pew Forum on Religion and Public Life, Published by Pew Research Center, Washington, D.C. p. 9
- International Religious Freedom Report (2015): Annual United States Congressional Report on International Religious Freedom (USCIRF), Published by United Nation Organization, Washington DC.
- Kalsekar, R.(2015): Social Institutions, in edited book Key to Sociology, Horizon Books, Techmiracle Book Publication, p. 127
- Kothari R. (1998): Communalism in Indian Politics, Rainbow Publishers, p. 134.
- Krishnaswami, A. (1960): Study of Discrimination in the Matter of Religious Rights and Practices. Second Series Report by Sub- Commission on Prevention of Discrimination and Protection of Minorities with Commission on Human Rights and the Economic and Social Council, Catalogue No. 60. XIV. 2, United Nations Publication, New York. pp 1-2.
- Nath, B. K and Nath, D. C. (2012): The Change of Religion and Language Composition in the State of Assam in Northeast India: A Statistical Analysis Since 1951 to 2001. International Journal of Scientific and Research Publications, Vol. 2 (5),pp 1-6
- Religion Primary Census Abstract (2001 &2011), Directorate of the Census Operations, Haryana Census of India.
- Religion in India (2016): Retrieved from https://en.wikipedia.org/wiki/Religion_in_India
- Zhao, H. (2015): Spatio-Temporal Analyses of Religious Establishments in China: A Case Study of Zhejiang Province, A Master of Arts thesis submitted to Kent State University, China.