Influencing Components of Human Savings Behavior in Sylhet City

Influencing Components of Human Savings Behavior in Sylhet City

Mohammad Kamrul Ahsan

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Metropolitan University

Influencing Components of Human Savings Behavior in Sylhet City

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Abstract

Saving can be defined as difference between individual’s disposable income and its consumption. Saving is the normal human nature. This study aims at identifying some important components which influence human saving behavior. A highly structured questionnaire was prepared to collect primary data from 350 depositors from the different banks of Sylhet City in Bangladesh. Several tools (Descriptive Statistics, Factors Analysis and Multiple Regression Analysis) have been used to find out core cause of human savings. The researcher has found at least 15 components that influence human saving behavior. So there have been 1 dependent variable i.e., saving fascination and 15 different independent variables i.e., to be rich man, to buy durable goods, Children education, to travel in future, etc. The findings of the study reveal five core components which influence human saving behavior mostly i.e., to have enough social security, to earn profit, for some dependent persons, to be rich man and to travel in future.

References

23 Cites in Article

Reference Format

S Abid,G Afridi (2010). Assessing the Household Saving Pattern of Urban and Rural Households inDistrict Muzaffarabad.
M Ahmad,Z Atiq,S Alam,S Butt (2006). The impact of demography, growth and public policy on household saving: a case study of Pakistan.
M Ahsan (2015). Factors Affecting propensity to Save: A Study in Sylhet City.
S Anastasiadou (2011). Reliability and Validity Testing of A New Scale For Measuring Attitudes Toward Learning Statistics With Technology.
Nadeem A. Burney,Ashfaque Khan (1992). Socio-economic Characteristics and Household Savings: An Analysis of the Households' Saving Behaviour in Pakistan.
Jose Cortina (1993). What is coefficient alpha? An examination of theory and applications..
Lee Cronbach (1951). Coefficient Alpha and the Internal Structure of Tests.
Angus Deaton (2005). Franco Modigliani and the Life Cycle Theory of Consumption.
B Fraczek (2011). The factors affecting the level of household savings and their influence on economy development.
S Gedela (2012). Determinants of Saving Behaviour in Rural and Tribal Households (An Empirical analysis of Visakhapatnam District.
Ch Horioka,A Terada-Hagiwara (2012). The determinants and long-term projections of saving rates in Developing Asia.
H Issahaku (2011). Indigenes’ Perceptions of Gold Mining in Their Communities: A Case Study of Gold Exploration in Nadowli District of the Upper West Region of Ghana.
Η Kaiser,F (1960). The application of electronic computers to factors analysis.
M Kutner,C Nachtsheim,J Neter (2004). Applied Linear Regression Models.
Lawrence Kibet,Benjamin Mutai,Desterio Ouma1,Shem Oumaand,George Owuor (2009). Determinants of household saving: Case study of smallholder farmers, entrepreneurs and teachers in rural areas of Kenya.
M Manyama (2007). Instilling a Culture of Savings in South Africa.
O Obi-Egbedi,O Alawode,A Soneye (2014). Savings Determinants among Rural Households in Southwest Nigeria.
H Rehman,I Chaudhry,M Faridi,F Bashir (2011). Rural-Urban Saving Differentials in Pakistan:Investigation from Primary Data.
C Rogg (1999). The Impact of Access to Credit on the Saving Behavior of Micro entrepreneurs: Evidence from Three Latin American Countries" A paper based on a Thesis submitted to the University of Oxford in.
A Shem (2002). Financial Sector Dualism: Determining Attributes for Small and Micro Enterprises in Urban Kenya: A Theoretical and Empirical Approach Based on Case Studies in Nairobi and Kisumu.
(2015). Simple and Multiple Linear Regression.
(2015). what-in-the-world-is-a-vif.
G A Yong,Pearce (2013). A Beginner's Guide to Factor Analysis: Focusing on Exploratory Factor Analysis.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mohammad Kamrul Ahsan. 2016. \u201cInfluencing Components of Human Savings Behavior in Sylhet City\u201d. Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 15 (GJMBR Volume 15 Issue B11).

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GJMBR Volume 15 Issue B11

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Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

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Classification

GJMBR-B Classification JEL Code: E21

Submission ReceivedFebruary 10, 2015
Peer Review Double Blind
Handling Editor
Accepted March 5, 2015
Published March 15, 2015

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v1.2

Issue date

January 4, 2016

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Article Matrices

Total Score: 101

Country: Bangladesh

Subject: Global Journal of Management and Business Research - B: Economic & Commerce

Authors: Mohammad Kamrul Ahsan (PhD/Dr. count: 0)

View Count (all-time): 174

Total Views (Real + Logic): 4112

Total Downloads (simulated): 2067

Publish Date: 2016 01, Mon

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Total Views: 4112

Total Downloads: 2067

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