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Original Articles

Public Value Creation Through Combined Consumption of Multiple Public Services – Case of India Stack

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Pages 600-611 | Published online: 22 Aug 2023
 

ABSTRACT

Using a case study of India’s Digital Stack, the paper seeks to understand how a discrete set of technology services when consumed by citizens can create public value of financial inclusion with regard to savings and access to credit. The research focuses on a single cross-sectional case study employing a deductive approach. The case-study approach is combined with the Granger causality test to empirically test relationships among various variables. The paper also makes an important contribution to public administration and digital government literature, by examining digital initiatives in India. These learnings can support the policy process about digital governance and public value creation for India and other developing countries of the global south.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1. Aadhar is the biometric identification of Indian residents through a unique identification number.

2. Aadhar-based e-KYC or Know Your Customer is a method of electronically verifying the customer’s credentials, using Aadhar information from the Unique Identification Authority of India (UIDAI) database.

3. UPI is a peer-to-peer and person-to-merchant instant payment system.

4. It is still under construction and yet to achieve full functionality. Currently under the RBI Account Aggregator framework, citizen transaction information can only be shared by consent.

5. There are other interoperable payments services which are also enabled by the National Payments Corporation of India (NPCI). However, UPI is the largest adopted services in terms of value and volume.

7. (For Age stratification of population refer www.populationpyramid.net/india/2021)

8. There are other interoperable payments services which are also enabled by NPCI, but the largest service adoption (Value and Volume) is that of UPI.

9. Stationary time series has constant mean and variance over time while non-stationary time series has a time-varying mean and/or variance.

10. Auto Regressive Process.

11. As per the Micro, Small and Medium Enterprise ministry, Government of India, Micro industry includes enterprises with investment up to US$0.121Mn of investment and up to US$0.6 Mn of turnover. The limit of small unit is up to US$1.21 Mn of investment and US $6 Mn of turnover. Similarly, the limit of medium unit is upto US$ 6 Mn investment and up to US$30.33 Mn of turnover.

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