印度基于云的“Aadhaar”UID上G2C社会福利交易的可行性和可扩展性

Ranjit Goswami, P. Rout, S. De
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引用次数: 0

摘要

“Aadhaar”——印度唯一身份识别(UID)项目在过去三年中一直备受关注和争议,自2009年2月印度唯一身份识别管理局(UIDAI)成立以来更是如此。2010年4月,该项目被重新命名为“Aadhaar”,意思是“基础”,而在各种广告中,它也被UIDAI解释为“Aap Ka Adhikar”(意思是“你的权利”)到“Aam Admi Ka Adhikaar”(“普通人的权利”),以覆盖庞大的12.1亿人口,随后减少到6亿和现有人口。由于各种原因,从安全目的、隐私问题、印度这样的国家生物识别的可靠性开始,甚至考虑到政府对社会福利的漏洞和无针对性的补贴计划,这个雄心勃勃的项目仍然被谈论得很多。在印度,从20世纪80年代末开始,前总理拉吉夫·甘地(Rajiv Gandhi)先生强调了为穷人和弱势群体提供的补贴存在漏洞的程度,人们经常说,政府实际支出的补贴中,只有不到10%到达了预期的接受者。随后,Aadhaar UID的未来用途经常扩展到直接现金转移的可能性-无论是肥料,国内lpg, PDS(涵盖基本食品和燃料的公共分配系统),甚至是照顾公立学校小学班级的学生和老师的缺勤问题。媒体报道称,2012-13财政年度社会福利补贴的实际支出可能接近550亿美元。媒体也有积极的猜测,在2013-14财政年度,政府希望通过直接现金转移的方式直接提供大约400亿美元的补贴,其中很大一部分将通过基于aadhaar的验证程序。本文从Aadhaar UID的传统项目管理角度出发,从各种次要来源(主要数据收集失败,因为对UIDAI的问卷调查仍未得到答复),并从可行性和可扩展性两个角度审视该项目应该如何交付所确定的各种社会福利需求。从本质上讲,Aadhaar UID的许多用途都属于传统的事务处理系统(TPS)类别。这些人口数据涵盖了完成TPS所需的社会经济和其他人,是动态的,而不是“永恒”的数据。本文考察了项目的范围、扩展范围、采用的方法及其演变,从而考察了该项目如何在G2C社会福利补贴领域以可扩展和可持续的方式提供大部分与aadhaar相关的tps服务,适用于印度这样一个规模和多样性的国家。这些发现强调了一种重新发明轮子的方法,可能存在其他不那么复杂、更可行和可扩展的解决方案。
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Feasibility and Scalability of G2C Social-Welfare Transactions on Cloud-Based 'Aadhaar' UID of India
‘Aadhaar’ – the Unique Identification (UID) Project of India has been much in the focus as well as in controversy over the last three years, more so since February 2009 when the Unique Identification Authority of India (UIDAI) was established. In April 2010, the project got rechristened as 'Aadhaar,' meaning 'foundation,' whereas it also is interpreted by the UIDAI as 'Aap Ka Adhikar' (meaning 'Your Right') to 'Aam Admi Ka Adhikaar' ('The Right of a Common Man') in its various advertisements to reach out the vast 1.21 billion populace, subsequently curtailed to 600 million and existing ones. The ambitious project had remained much talked about – due to a variety of reasons, starting from security purposes, privacy issues, reliability of biometric identification in a nation like India to even to take care of a leaky and non-targeted subsidy schemes of the Government towards social welfare. In India, from late 1980s, when former Prime Minister Mr. Rajiv Gandhi highlighted the degree of leaks in subsidies meant for the poor and under privileged, it is often stated that hardly 10% of the actual subsidy spent by the Government reaches the intended recipient. Subsequently, future uses of Aadhaar UID have been often extended to possibilities of direct cash transfers – be it for fertilizers to domestic LPGs to PDS (Public Distribution System covering essential food and fuel) to even taking care of absenteeism of students and teachers alike in primary classes in Government-run schools. Media reports suggested that actual spent on social welfare oriented subsidies for financial year 2012-13 is likely to be close to $55 billion. There has been also active speculation in media that in financial year 2013-14, Government wants to direct around $40 billion of this subsidy through Direct cash Transfer, a large part of which will be through Aadhaar-based verification process. This paper takes views from traditional Project Management perspective of Aadhaar UID from various secondary sources (primary data collection failed as questionnaire to UIDAI remained unanswered), and scrutinizes how this project is supposed to deliver to the various social welfare needs identified, both from the feasibility and scalability perspectives. Essentially many of the uses of the Aadhaar UID fall under the traditional Transaction Processing Systems (TPS) category. These demographic data, which covers socio-economic to others needed for the TPS to be completed are dynamic, and are not of the type of 'timeless' data. This paper examines the project scope, the creeping scope, the methodology adopted and its evolution – and thereby examines how the project is likely to deliver on much of these often reported Aadhaar-linked TPS-services in areas of G2C social welfare subsidies, on a scalable and sustainable manner, for a country of India’s size and diversity. The findings highlight a reinventing the wheel approach where probably other less complex, more feasible and scalable solutions exists.
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