NABARD - Student Internship Scheme 2016-2017 - page 65

Summary No-25
Profile of the Student:
Name: Kinjal Shukla
Degree Programme:MBA-Tech
University/ Institute: Narsee Monji Institute of Management Studies (NMIMS), Mumbai
Profile of the Mentor:
Name: Dr. K.J.S. Satyasai
Designation: DGM
Department: DEAR
Name of Office: Head Office, Mumbai
Objectives of the study:
1) To study the relation between financial inclusion and inclusive growth.
2) To study the current use of financial services.
3) To find the awareness levels of households on financial service
4) To study the impact of social capital on financial inclusion behavior of HH.
5) To understand the role of ICT based financial services in enabling and availing the financial services.
6) To get an insight of the banks perspective of deploying ICT based financial services.
Sample State/ Distt/ Blocks/ Villages: Gujarat; Ahmedabad; Alidhara, Khadhpipadi, Jhanjarada and
Sample size: 88 households, 2 banks
Research Methodology:
Primary data was collected from households regarding asset value, use of ICT devices, use of banking
services, different channels to avail those services and influence of social capital regarding financial
awareness. A structured questionnaire was prepared for the same. Data was collected using survey
mechanism.Method of analysis includes constructing a Financial Inclusion Index (FII) and Information
and Communication Technology Index (ICTI). The methodology for the proposed for developing these
indices is similar to the one adopted by UNDP for constructing the Human Development Index (HDI).
The determinants were analyzed using frequency distribution tables, regression and other tabulations.
Major Findings:
Related to Household:
While all the surveyed households availed saving and loan services, there were zero households availing
pension and smart card services.
• The major reason for saving among households was to accumulate wealth.
• A high awareness and high usage (78 out of 88 households) was observed in the case of Kisan Credit
Card. The awareness levels were also high in case of Rupay Card.
• 100 % awareness levels were observed in financial services like savings, loan, pension and insurance;
80 % in Kisan Credit Card and 79 % in Rupay Card and 5% in Smart card.
• Considering awareness as a parameter, the probability of a household availing the service is 1 in case
of savings, loan and Kisan Credit Card; 0.49 in Rupay Card and Insurance service.
1...,55,56,57,58,59,60,61,62,63,64 66,67,68,69,70,71,72,73,74,75,...138
Powered by FlippingBook