Box 3.
Using a value-impact approach to measure
the digital economy in India
This research seeks to analyse and quantify the potential
economic impact of digital technology and applications
in India over the coming years. The starting point when
setting out to measure the digital economy is to first define
the term. The Organisation for Economic Co-operation
and Development describes the internet economy as “the
full range of our economic, social and cultural activities
supported by the internet and related information
and communications technologies”, underscoring the
concept’s sweeping nature and scope.
1
Methodological challenges when measuring the size of
the digital economy start with the nature of GDP and its
measurement system, which recognises only market-based,
priced interactions as economic goods. For instance,
booking a hotel room online directly online, rather than
going through a travel agent or app that charged for the
service, would imply loss of GDP, unless the time saved was
deployed in market-based activities.
2
Many digital products,
such as email, web search, and apps, are offered free or
at very low marginal cost to the consumer, while prices of
others, such as smartphones, tablets, and connectivity,
are falling. This implies more surplus for consumers of
these goods but potentially less GDP accounted for by
their producers. It is not clear how large this effect is—one
research study has concluded that the slowdown in US
productivity growth (as measured by GDP) over the last
decade cannot be explained by the shift in value from
measured revenue to unmeasured consumer surplus.
3
Given these challenges, researchers have used various
approaches to estimate the size of the digital economy.
Thedirect-impact approach measures GDP value
added using the expenditure method, assessing private
consumption expenditure, public expenditure, private
investment, and trade balance, which are closely related to
digital products and services. Estimates vary, but studies
show that the size of the digital economy is 1 to 7percent
of GDP in the countries considered.
4
The dynamic-impact
approach looks at the statistical relationship between a
country’s digital profile and economic development. In a
recent study, the Institute for Competitiveness ran a state-
level regression of GDP per capita on capital, labour, and
internet penetration and found that a 10percent increase
in internet penetration results in a 3.9percent increase in
GDPper capita.
5
1
Measuring the internet economy: A contribution to the research agenda, OECD Digital Economy Paper number 226, OECD, 2013.
2
Nadim Ahmad and Paul Schreyer, Are GDP and productivity measures up to the challenges of the digital economy? OECD, 2016.
3
Chad Syverson, “Challenges to mismeasurement explanations for the US productivity slowdown”, The Journal of Economic Perspectives,
American Economic Association, spring 2017, Volume 31, Number 2.
4
Measuring the internet economy: A contribution to the research agenda, OECD Digital Economy Paper number 226, OECD, 2013.
5
Amit Kapoor, Chirag Yadav, and Neera Vohra, Impact of Reliance’s entry: A socio-economic analysis of Jio-fication and India’s GDP story,
Institute for Competitiveness, March 2018.
We use a value-impact approach to understand and estimate
the potential effect of digital adoption on productivity based
on microevidence from sectors and firms. We identify
discrete use cases and estimate their potential impact
in terms of the productivity gains possible if they were to
scale up and achieve moderate to high levels of adoption.
Productivity gains are estimated through drivers such as
greater output using the same resources, cost savings, time
savings, or new sources of capital and labour that could
become available with the use of digital technologies.
The core digital sectors we describe (ITBPM, digital
communication services, and electronics manufacturing)
are already considered part of India’s digital economy, and
their GDP contribution is measured based on conventional
revenue, expense, and value-added metrics. For the
newly digitising sectors (such as agriculture, education,
energy, financial services, manufacturing, healthcare,
logistics, and retail), as well as government services and
markets for jobs and skills, no economic data exist today
for technology-based business models and applications,
which are nascent or emerging, and not separately tracked
in national income accounts. For these areas, we focus on
creating broad estimates of potential economic value in
the future. We do estimate potential GDP impact because
the accounting and marketisation of productivity gains
remain uncertain and hard to predict.
All of our estimates are in nominal dollars in 2025 and
represent the potential for economic value creation in that
year. They do not represent market revenue or profit pools
for individual players; rather, they are estimates of end-to-
end value to the system as a whole. Some of the economic
value we size may or may not materialise as GDP or market-
based exchanges. For example, it is unclear whether time
saved will actually convert into productive and paying jobs,
and whether new digital services will generate consumer
surplus accruing to users of technologies or paid products
that yield revenue to producers. Nevertheless, we believe
these estimates provide a sense of the order of magnitude
of the impact that digitisation represents for an economy
of the scale and breadth of India’s.
Finally, our estimates of economic value in 2025 represent
India’s potential, not a prediction. The pace of progress will
depend critically on government policies and private-sector
action. Conducive government policies and programs could
spur entrepreneurs to innovate and help India’s economy
and society to fully incorporate new digital technologies.
Forfurther details, see the technical appendix.
55Digital India: Technology to transform a connected nation