NSFDC
NSFDC
Client: NSFDC - National Scheduled Castes Finance and Development Corporation
Project: Evaluation Studies for Credit and Non-Credit based Schemes of NSFDC
About NSFDC
NSFDC was set up by the Government of India with the aim of financing, facilitating, and mobilizing funds for the economic empowerment of persons having an annual family income up to Rs. 3.00 lakh for both rural and urban areas. It provides financial assistance for income-generating schemes for the target group in order to generate employment opportunities in rural and urban poor communities amongst Scheduled Castes.
Scope of Work
- National Scheduled Castes Finance and Development Corporation rolled out a few credit and non-credit-based schemes to develop the scheduled castes
- NSFDC wanted to know the assets created by each beneficiary and the utilization of funds for the purpose
- The evaluation study needed to be conducted to understand how much the beneficiaries have benefited under both credit and non-credit-based schemes of NSFDC in 2018-2019.
- National Scheduled Castes Finance and Development Corporation rolled out a few credit and non-credit-based schemes to develop the scheduled castes
- NSFDC wanted to know the assets created by each beneficiary and the utilization of funds for the purpose
- The evaluation study was needed to be conducted to understand how much the beneficiaries have been benefited under both credit and non-credit-based schemes of NSFDC in 2018-2019.
Datawise Assignment
Credit based schemes
To check the efficacy of NSFDC programmes to finance, facilitate and mobilize funds for the socio-economic development of scheduled caste persons whose annual family income is below 3 lakh rupees per annum. This was gauged by tracking parameters like:
- Number and percentage of beneficiaries who utilized the assistance for the intended purpose
- Number and percentage of beneficiaries who retained the assets created
- Number and percentage of beneficiaries who crossed the poverty line
- Number and percentage of beneficiaries who crossed double the poverty line
- Number and percentage of beneficiaries whose economic conditions have been improved
- To check if the non-credit schemes were achieving the objective to provide people with opportunities to live a better life in terms of the role in reducing the youth unemployment rate to increasing women empowerment and self-employment
Datawise Assignment
Credit based schemes
To check the efficacy of NSFDC programmes to finance, facilitate and mobilize funds for the socio-economic development of scheduled caste persons whose annual family income is below 3 lakh rupees per annum. This was gauged by tracking parameters like:
- Number and percentage of beneficiaries who utilized the assistance for the intended purpose
- Number and percentage of beneficiaries who retained the assets created
- Number and percentage of beneficiaries who crossed the poverty line
- Number and percentage of beneficiaries who crossed double the poverty line
- Number and percentage of beneficiaries whose economic conditions have been improved
Non-credit based schemes
- To check if the non-credit schemes were achieving the objective to provide people with opportunities to live a better life in terms of the role in reducing the youth unemployment rate to increasing women empowerment and self-employment
Methodology
The various aspects taken into consideration for the survey were :
- Demographics: Age, Sex, Education, marital status, family size, geographical disposition
- Profile Information; Income levels, house ownership, consumption levels
- Work status before availing benefits
- Computer-Assisted Personal Interviews – CAPI surveys were conducted across nine states
Methodology
The various aspects taken into consideration for the survey were :
- Demographics: Age, Sex, Education, marital status, family size, geographical disposition
- Profile Information; Income levels, house ownership, consumption levels
- Work status before availing benefits
- Computer-Assisted Personal Interviews – CAPI surveys were conducted across nine states
Value Added by Datawise
The gamut of NSFDC credit and non-credit schemes motivated large segments of the target population towards financial literacy and income generation.
- The Evaluation Surveys conducted helped NSFDC to identify various aspects for improvement and modifications through meaningful insights and findings to benefit their schemes
- The provision of local training produced suitably skilled manpower for future job opportunities
- The assessment indicated no gender biases for both credit and non-credit-based schemes. A large number of the beneficiaries belonged to the rural population and the highest education of the beneficiaries was found to be senior secondary or more minor
Value Added by Datawise
The gamut of NSFDC credit and non-credit schemes, motivated large segments of the target population towards financial literacy and income generation.
- The Evaluation Surveys conducted helped NSFDC to identify various aspects for improvement and modifications through meaningful insights and findings to benefit their schemes
- The provision of local training produced suitably skilled manpower for future job opportunities
- The assessment indicated no gender biases for both credit and non-credit-based schemes. A large number of the beneficiaries belonged to the rural population and the highest education of the beneficiaries was found to be senior secondary or more minor
Client Speak
“Working with Datawise has helped us to harness a better understanding. We worked with Datawise on Computer-Assisted Personal Interviews surveys conducted across nine states in India, and Datawise was able to meet the complex requirements with proficiency. We are impressed by the promptness and efficiency of Datawise. Their contribution to the project has been helpful to carve out better results and understanding.”
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Datawise has customers spread over 25 countries across Domains and Industry segments. We harness Insights and Intelligence to bring about Infinite Transformation. Proven Frameworks and Proprietary Tools improve Operations, Delivery Models, and Customer Experience.
Quick Links
© Copyright 2022 Datawise. All Rights Reserved.