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GJRA - GLOBAL JOURNAL FOR RESEARCH ANALYSIS X 14
Volume : 3 | Issue : 1 | Jan 2014 • ISSN No 2277 - 8160
Research Paper Commerce
Performance of Financial Inclusion through other Financial
Services in Puducherry
Dr. C. PARAMASIVAN Assistant Professor & Research Supervisor
V. GANESHKUMAR
Ph. D Full Time Research Scholar, PG & Research Department of Commerce, Periyar
E.V.R. College, Trichurappalli – 23, Tamil Nadu, India
Financial inclusion is low banking penetration can be attributed mainly to low income, unemployment and under
employment, low level of awareness, low level of financial literacy, and lack of access to banking facilities in remote
areas. Those who have banking habit lack familiarity with vastly available financial products to select those suitable to them. They are left
unprotected against decisions they make owing to inadequate financial education. Financial inclusion is receiving due attention in our country
as a means to provide access to financial services to all the people in a fair, transparent and equitable manner at affordable cost. There is
an imperative need to modify the credit and financial services delivery system to achieve greater financial inclusion. This paper highlight on
performance of financial Inclusion through other financial services in Puducherry
ABSTRACT
KEYWORDS : Inclusive Growth, Financial Services, KnowYour Customer, Credit Card Introduction
Introduction
The Reserve Bank of India setup a commission (Khan Commission) in
2004 to look into Financial Inclusion and the recommendations of the
commission were incorporated into the Mid-term review of the policy
(2005-06). In the report RBI exhorted the banks with a view of achiev-
ing greater Financial Inclusion to make available a basic“no-frills”bank-
ing account. In India, Financial Inclusion first featured in 2005, when it
was introduced, that, too, from a pilot project in UT of Puducherry, by K
C Chakraborthy, the chairman of Indian Bank.
The first village in India is MangalamVillage, where all households were
provided banking facilities. In addition to this KYC (Know your Custom-
er) norms were relaxed for people intending to open accounts with
annual deposits of less than Rs. 50000. General Credit Cards (GCC) were
issued to the poor and the disadvantaged with a view to help them
access easy credit. In January 2006, the Reserve Bank permitted com-
mercial banks to make use of the services of non-governmental organ-
izations (NGOs/SHGs), micro-finance institutions and other civil society
organizations as intermediaries for providing financial and banking
services. These intermediaries could be used as business facilitators
(BF) or business correspondents (BC) by commercial banks.
Statement of the Problem
Social & Economic position, low-income people normally do not feel
the need to bank as the transaction carried out by them is mostly in
cash that too with low amount. Secondly, many times people do not
want to disclose the information which would be required for access-
ing any financial service. Thirdly, poor people, mostly, do not have any
identification/introduction, which is accepted by banks to open an ac-
count (or) access other financial services. Fourthly, poor people do not
have much absorptive capacity for all the financial services. Need for
different financial services. Finally, the spread of customers is very thin
which makes the operation of reaching out to them a costly affair.
Objectives
The main objectives to analyse financial inclusion through other finan-
cial services in Puducherry
Methodology
This study is an empirical one.The data and other information required
for the study were collected from both primary and secondary sources.
Primary data were collected from the no frill account holders directly,
using a structured interview schedule and the secondary data were
collected from various sources of books, journal, articles, magazines
and related web sites information from retailers Other information per-
tinent to the study has been collected by means of interviews and dis-
cussions with the Government officials and Indian Bank Journals Office.
Sampling Design
There are 23 Public Sector Banks, 13 Private Sector Banks, and 2 Region-
al Rural Banks in operation in Puducherry as on March 2012. In order to
collect primary data for the purpose of the study, multi-stage sampling
technique is adapted. At the first stage, 7 banks which outnumber in
number of branches were selected out of the 38 banks. In the second
stage, 5 per cent of the branches i.e. 125 branches were selected out
of the 7 selected banks. In the final stages, from each of the branch 80
no frill accounts holders were selected on the purposive basis. There-
fore, the sample size consists of 500 respondents, of the following table
shows the sampling distribution of the present study.
Table 1: Gender Vs Level of Interest in Local Financial Ser-
vices
Ho:There is no relationship between gender and interest in local finan-
cial service level of respondents of the customer and financial service
related factors
Source of
Variation
Sum of
Squares D.F Mean
Square F
Table
Value
at 1%
Result
Between Groups 7.222 1 7.222 2.207
6.64 Not
Significant
Within Groups 1629.650 498 3.272
Total 1636.872 499
The calculated F value is (2.207) less than the table value (6.64) at 1
per cent level of significant. Further, there is no significant relationship
among the level of Interest in Local Financial Services of the respond-
ents having different gender and Interest in Local Financial Services in
Puducherry. Hence, the null hypothesis (Ho2) accepted.
Table 2: AgeVs Level of Interest in local Financial Services
Ho: There is no relationship between age and interest in local financial
service level of respondents of the customer and financial service re-
lated factors
Source of
Variation
Sum of
Squares D.F Mean
Square F
Table
value
at 1%
Result
Between
Groups 233.603 3 77.868 27.523
3.78 Significant
Within Groups 1403.269 496 2.829
Total 1636.872 499
The calculated F value is (27.523) greater than the table value (3.78) at
1 per cent level of significant.Therefore, there is significant relationship
among the level of Interest in Local Financial Services of the respond-
ents having different age and Interest in Local Financial Services in
Puducherry. Hence, the null hypothesis (Ho1) rejected.
GJRA - GLOBAL JOURNAL FOR RESEARCH ANALYSIS X 15
Volume : 3 | Issue : 1 | Jan 2014 • ISSN No 2277 - 8160
REFERENCES 1. Patil dake and Jayashree. (2009). “Corporate Social Responsibility in Indian Banking Sector”. Maratha Mandir’s Babasaheb Gawde Institute
of Management Studies, pp 521-522. | 2. Bimal Anjum Rajeshtiwari. (2012). “Role of Private Sector Banks for Financial Inclusion”, International
Journal of Multidisciplinary Research,Vol. 2, Issue. 1, pp 270-280. | 3. Gil Crawford and SteveWardle. (2011).“Impact Investing: Financial Inclusion
and value creation at the base of the Pyramid”, Sais, Spring, pp 2-21. | 4. Joseph Massey. (2010). “Role of Financial Institutions in Financial Inclusion”, Journal of FICCI’s Banking &
Finance, Issue. 4, pp 5-9.
Table 3: Marital Status Vs Level of Interest in Local Finan-
cial Services
Ho: There is no relationship between marital status and interest in lo-
cal financial service level of respondents of the customer and financial
service related factors
Source of
Variation
Sum of
Squares D.F Mean
Square F
Table
value
at 5%
Result
Between
Groups 45.050 3 15.017 4.679
2.60 Significant
Within Groups 1591.822 496 3.209
Total 1636.872 499
The calculated F value is (4.679) greater than the table value (2.60) at 5
per cent level of significant. Therefore, there is significant relationship
among the level of Interest in Local Financial Services of the respond-
ents having different marital status and Interest in Local Financial Ser-
vices in Puducherry. Hence, the null hypothesis (Ho1) rejected.
Table 4: Qualification Vs Level of Interest in local Finan-
cial Service
Ho: There is no relationship between qualification and interest in local
financial service level of respondents of the customer and financial ser-
vice related factors
Source of
Variation
Sum of
Squares D.F Mean
Square F
Table
value
at 5%
Result
Between Groups 39.456 5 7.891 2.440
2.21 Significant
Within Groups 1597.416 494 3.234
Total 1636.872 499
The calculated F value is (2.440) greater than the table value (2.21) at 5
per cent level of significant. Therefore, there is significant relationship
among the level of Interest in Local Financial Services of the respond-
ents having different educational qualification and Interest in Local
Financial Services in Puducherry. Hence, the null hypothesis (Ho1) re-
jected.
Table 5: Occupation Vs Level of Interest in local Financial
Services
Ho: There is no relationship between occupation and interest in local
financial service level of respondents of the customer and financial ser-
vice related factors
Source of
Variation
Sum of
Squares D.F Mean
Square F
Table
value
at 1%
Result
Between Groups 141.687 3 47.229 15.667
3.78 Significant
Within Groups 1495.185 496 3.014
Total 1636.872 499
The calculated F value is (15.667) greater than the table value (3.78) at
1 per cent level of significant.Therefore, there is significant relationship
among the level of Interest in Local Financial Services of the respond-
ents having different Occupation and Interest in Local Financial Servic-
es in Puducherry. Hence, the null hypothesis (Ho1) rejected.
Table 6: Annual IncomeVs Level of Interest in Local Finan-
cial Services
Ho: There is no relationship between annual income and interest in lo-
cal financial service level of respondents of the customer and financial
service related factors
Source of
Variation
Sum of
Squares D.F Mean
Square F
Table
value
at 1%
Result
Between Groups 26.621 2 13.311 4.108
4.60 Not
Significant
Within Groups 1610.251 497 3.240
Total 1636.872 499
The calculated F value is (4.108) less than the table value (4.60) at 1 per
cent level of significant. Therefore, there is no significant relationship
among the level of Interest in Local Financial Services of the respond-
ents having different annual income and Interest in Level of interest in
local Financial Services in Puducherry. Hence, the null hypothesis (Ho2)
accepted.
Suggestion
1.	 The banks may adopt a policy of assessing the genuine require-
ments of socially excluded group and cover all the needs of small
and petty borrowers instead of providing a single loan only.
2.	 Steps may be taken by the government in the opening of more
number of branches in those places where the average number
of customer per branch is below the national average. Moreover,
priority should be given to the rural and isolated backward areas
while opening new branches.
3.	 Involvement of Education Sector for furthering Financial Inclusion
Involving educational institutions, particularly college students for
financial inclusion drive would not only be cost effective but also
would create wide public awareness.
4.	 Hours of operation: Many of the times the branch timing are in-
convenient for the poor people, as they have to visit their farmers
or go for wage earning. In that case visiting branch during daytime
would mean loss of wages for a day
Conclusion
Bank and financial institutions are the nerve system of the financial
system of the country which meet the savings and utilisation of re-
source in a proper manner. Government can achieve its schemes and
programme through banking and financial institutions. To providing
financial services to unreached people, financial inclusion scheme was
introduced. In this regards this articles concluded. Puducherry is one of
the well structured financial systems with 38 banks with 186 branches
which provide effective services to the needed and unreached people.
Hence Puducherry could achieve 100% financial inclusion in a short
period of time.

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Performance of financial inclusion through other financial services in puducherry

  • 1. GJRA - GLOBAL JOURNAL FOR RESEARCH ANALYSIS X 14 Volume : 3 | Issue : 1 | Jan 2014 • ISSN No 2277 - 8160 Research Paper Commerce Performance of Financial Inclusion through other Financial Services in Puducherry Dr. C. PARAMASIVAN Assistant Professor & Research Supervisor V. GANESHKUMAR Ph. D Full Time Research Scholar, PG & Research Department of Commerce, Periyar E.V.R. College, Trichurappalli – 23, Tamil Nadu, India Financial inclusion is low banking penetration can be attributed mainly to low income, unemployment and under employment, low level of awareness, low level of financial literacy, and lack of access to banking facilities in remote areas. Those who have banking habit lack familiarity with vastly available financial products to select those suitable to them. They are left unprotected against decisions they make owing to inadequate financial education. Financial inclusion is receiving due attention in our country as a means to provide access to financial services to all the people in a fair, transparent and equitable manner at affordable cost. There is an imperative need to modify the credit and financial services delivery system to achieve greater financial inclusion. This paper highlight on performance of financial Inclusion through other financial services in Puducherry ABSTRACT KEYWORDS : Inclusive Growth, Financial Services, KnowYour Customer, Credit Card Introduction Introduction The Reserve Bank of India setup a commission (Khan Commission) in 2004 to look into Financial Inclusion and the recommendations of the commission were incorporated into the Mid-term review of the policy (2005-06). In the report RBI exhorted the banks with a view of achiev- ing greater Financial Inclusion to make available a basic“no-frills”bank- ing account. In India, Financial Inclusion first featured in 2005, when it was introduced, that, too, from a pilot project in UT of Puducherry, by K C Chakraborthy, the chairman of Indian Bank. The first village in India is MangalamVillage, where all households were provided banking facilities. In addition to this KYC (Know your Custom- er) norms were relaxed for people intending to open accounts with annual deposits of less than Rs. 50000. General Credit Cards (GCC) were issued to the poor and the disadvantaged with a view to help them access easy credit. In January 2006, the Reserve Bank permitted com- mercial banks to make use of the services of non-governmental organ- izations (NGOs/SHGs), micro-finance institutions and other civil society organizations as intermediaries for providing financial and banking services. These intermediaries could be used as business facilitators (BF) or business correspondents (BC) by commercial banks. Statement of the Problem Social & Economic position, low-income people normally do not feel the need to bank as the transaction carried out by them is mostly in cash that too with low amount. Secondly, many times people do not want to disclose the information which would be required for access- ing any financial service. Thirdly, poor people, mostly, do not have any identification/introduction, which is accepted by banks to open an ac- count (or) access other financial services. Fourthly, poor people do not have much absorptive capacity for all the financial services. Need for different financial services. Finally, the spread of customers is very thin which makes the operation of reaching out to them a costly affair. Objectives The main objectives to analyse financial inclusion through other finan- cial services in Puducherry Methodology This study is an empirical one.The data and other information required for the study were collected from both primary and secondary sources. Primary data were collected from the no frill account holders directly, using a structured interview schedule and the secondary data were collected from various sources of books, journal, articles, magazines and related web sites information from retailers Other information per- tinent to the study has been collected by means of interviews and dis- cussions with the Government officials and Indian Bank Journals Office. Sampling Design There are 23 Public Sector Banks, 13 Private Sector Banks, and 2 Region- al Rural Banks in operation in Puducherry as on March 2012. In order to collect primary data for the purpose of the study, multi-stage sampling technique is adapted. At the first stage, 7 banks which outnumber in number of branches were selected out of the 38 banks. In the second stage, 5 per cent of the branches i.e. 125 branches were selected out of the 7 selected banks. In the final stages, from each of the branch 80 no frill accounts holders were selected on the purposive basis. There- fore, the sample size consists of 500 respondents, of the following table shows the sampling distribution of the present study. Table 1: Gender Vs Level of Interest in Local Financial Ser- vices Ho:There is no relationship between gender and interest in local finan- cial service level of respondents of the customer and financial service related factors Source of Variation Sum of Squares D.F Mean Square F Table Value at 1% Result Between Groups 7.222 1 7.222 2.207 6.64 Not Significant Within Groups 1629.650 498 3.272 Total 1636.872 499 The calculated F value is (2.207) less than the table value (6.64) at 1 per cent level of significant. Further, there is no significant relationship among the level of Interest in Local Financial Services of the respond- ents having different gender and Interest in Local Financial Services in Puducherry. Hence, the null hypothesis (Ho2) accepted. Table 2: AgeVs Level of Interest in local Financial Services Ho: There is no relationship between age and interest in local financial service level of respondents of the customer and financial service re- lated factors Source of Variation Sum of Squares D.F Mean Square F Table value at 1% Result Between Groups 233.603 3 77.868 27.523 3.78 Significant Within Groups 1403.269 496 2.829 Total 1636.872 499 The calculated F value is (27.523) greater than the table value (3.78) at 1 per cent level of significant.Therefore, there is significant relationship among the level of Interest in Local Financial Services of the respond- ents having different age and Interest in Local Financial Services in Puducherry. Hence, the null hypothesis (Ho1) rejected.
  • 2. GJRA - GLOBAL JOURNAL FOR RESEARCH ANALYSIS X 15 Volume : 3 | Issue : 1 | Jan 2014 • ISSN No 2277 - 8160 REFERENCES 1. Patil dake and Jayashree. (2009). “Corporate Social Responsibility in Indian Banking Sector”. Maratha Mandir’s Babasaheb Gawde Institute of Management Studies, pp 521-522. | 2. Bimal Anjum Rajeshtiwari. (2012). “Role of Private Sector Banks for Financial Inclusion”, International Journal of Multidisciplinary Research,Vol. 2, Issue. 1, pp 270-280. | 3. Gil Crawford and SteveWardle. (2011).“Impact Investing: Financial Inclusion and value creation at the base of the Pyramid”, Sais, Spring, pp 2-21. | 4. Joseph Massey. (2010). “Role of Financial Institutions in Financial Inclusion”, Journal of FICCI’s Banking & Finance, Issue. 4, pp 5-9. Table 3: Marital Status Vs Level of Interest in Local Finan- cial Services Ho: There is no relationship between marital status and interest in lo- cal financial service level of respondents of the customer and financial service related factors Source of Variation Sum of Squares D.F Mean Square F Table value at 5% Result Between Groups 45.050 3 15.017 4.679 2.60 Significant Within Groups 1591.822 496 3.209 Total 1636.872 499 The calculated F value is (4.679) greater than the table value (2.60) at 5 per cent level of significant. Therefore, there is significant relationship among the level of Interest in Local Financial Services of the respond- ents having different marital status and Interest in Local Financial Ser- vices in Puducherry. Hence, the null hypothesis (Ho1) rejected. Table 4: Qualification Vs Level of Interest in local Finan- cial Service Ho: There is no relationship between qualification and interest in local financial service level of respondents of the customer and financial ser- vice related factors Source of Variation Sum of Squares D.F Mean Square F Table value at 5% Result Between Groups 39.456 5 7.891 2.440 2.21 Significant Within Groups 1597.416 494 3.234 Total 1636.872 499 The calculated F value is (2.440) greater than the table value (2.21) at 5 per cent level of significant. Therefore, there is significant relationship among the level of Interest in Local Financial Services of the respond- ents having different educational qualification and Interest in Local Financial Services in Puducherry. Hence, the null hypothesis (Ho1) re- jected. Table 5: Occupation Vs Level of Interest in local Financial Services Ho: There is no relationship between occupation and interest in local financial service level of respondents of the customer and financial ser- vice related factors Source of Variation Sum of Squares D.F Mean Square F Table value at 1% Result Between Groups 141.687 3 47.229 15.667 3.78 Significant Within Groups 1495.185 496 3.014 Total 1636.872 499 The calculated F value is (15.667) greater than the table value (3.78) at 1 per cent level of significant.Therefore, there is significant relationship among the level of Interest in Local Financial Services of the respond- ents having different Occupation and Interest in Local Financial Servic- es in Puducherry. Hence, the null hypothesis (Ho1) rejected. Table 6: Annual IncomeVs Level of Interest in Local Finan- cial Services Ho: There is no relationship between annual income and interest in lo- cal financial service level of respondents of the customer and financial service related factors Source of Variation Sum of Squares D.F Mean Square F Table value at 1% Result Between Groups 26.621 2 13.311 4.108 4.60 Not Significant Within Groups 1610.251 497 3.240 Total 1636.872 499 The calculated F value is (4.108) less than the table value (4.60) at 1 per cent level of significant. Therefore, there is no significant relationship among the level of Interest in Local Financial Services of the respond- ents having different annual income and Interest in Level of interest in local Financial Services in Puducherry. Hence, the null hypothesis (Ho2) accepted. Suggestion 1. The banks may adopt a policy of assessing the genuine require- ments of socially excluded group and cover all the needs of small and petty borrowers instead of providing a single loan only. 2. Steps may be taken by the government in the opening of more number of branches in those places where the average number of customer per branch is below the national average. Moreover, priority should be given to the rural and isolated backward areas while opening new branches. 3. Involvement of Education Sector for furthering Financial Inclusion Involving educational institutions, particularly college students for financial inclusion drive would not only be cost effective but also would create wide public awareness. 4. Hours of operation: Many of the times the branch timing are in- convenient for the poor people, as they have to visit their farmers or go for wage earning. In that case visiting branch during daytime would mean loss of wages for a day Conclusion Bank and financial institutions are the nerve system of the financial system of the country which meet the savings and utilisation of re- source in a proper manner. Government can achieve its schemes and programme through banking and financial institutions. To providing financial services to unreached people, financial inclusion scheme was introduced. In this regards this articles concluded. Puducherry is one of the well structured financial systems with 38 banks with 186 branches which provide effective services to the needed and unreached people. Hence Puducherry could achieve 100% financial inclusion in a short period of time.