Overcoming digital poverty traps in rural Asia
| Published date | 01 August 2023 |
| Author | Edward B. Barbier |
| Date | 01 August 2023 |
| DOI | http://doi.org/10.1111/rode.12962 |
SPECIAL ISSUE ARTICLE
Overcoming digital poverty traps in rural Asia
Edward B. Barbier
Department of Economics, Colorado
State University, Fort Collins, CO, USA
Correspondence
Edward B. Barbier, Department of
Economics, Colorado State University,
Fort Collins, CO 80253-1771, USA.
Email: edward.barbier@colostate.edu
Abstract
The rapid spread of information and communication
technology (ICT) in Asia offers the promise of a “digital
revolution”for agriculture. But realizing such gains
will depend on overcoming digital poverty traps,
whereby significant numbers of poor smallholders
inhabiting remote regions are unable to take advantage
of the benefits of ICT for agriculture and thus remain
mired in poverty. This phenomenon is illustrated in a
model of a poor household located in a remote region
that cannot accumulate sufficient ICT skills. To avoid
such outcomes, policies need to be targeted at both the
lack of access by smallholders to ICT for farming and
their insufficient skills to use the new technologies.
Increased public investments to extend “last-mile infra-
structure”in digital services are necessary but not
sufficient. Complementary investments in developing
rural infrastructure, appropriate ICT business models
and services, and improvement of the digital literacy of
smallholders are also essential.
KEYWORDS
Asia, digital agriculture, digital divide, emerging market and
developing countries, information and communication
technology (ICT), market access, poverty traps, smallholders
JEL CLASSIFICATION
O3, O13, Q16, R11
Received: 24 June 2022 Revised: 7 October 2022 Accepted: 16 November 2022
DOI: 10.1111/rode.12962
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distrib ution and
reproduction in any medium, provided the original work is properly cited.
© 2022 The Author. Review of Development Economics published by John Wiley & Sons Ltd.
Rev Dev Econ. 2023;27:1403–1420. wileyonlinelibrary.com/journal/rode 1403
1|INTRODUCTION
The rapid spread of information and communication technology (ICT) in Asia offers the promise
of a “digital revolution”for agriculture in the region (Asian Development Bank [ADB], 2021).
The dissemination of ICT supports farmers by improving access to markets through real-time
data on prices; weather forecasts; and information on pests, seed varieties, and planting tech-
niques (Aker, Ghosh, & Burrell, 2016; Fabregas, Kremer, & Schilbach, 2019;Trendov,Varas,&
Zeng, 2019). This can in turn accelerate the transformation of agriculture and food system by
increasing farm productivity and efficiency; improving farmers' access to output, input, and finan-
cial markets; and facilitating the design and delivery of agriculture policies (Schroeder,
Lampietti, & Elabed, 2021). Especially encouraging is the potential of mobile technologies, partic-
ularly smartphones, in disseminating agricultural extension services and advice to smallholder
farmers in emerging markets and developing economies (Aker et al., 2016; Baumüller, 2018;
Fabregas et al., 2019; Trendov et al., 2019). Evidence to date suggests that digitally delivered
advice to farmers in these economies increases yields by around 4% and the probability of
adopting recommended inputs by 22%, which may be critical to reducing poverty, food insecurity,
and environmentalrisks (Fabregas et al., 2019).
However, the potential of ICT for reducing poverty and transforming agriculture in Asian
emerging markets and developing countries could be thwarted by the “digital divide”within rural
areas (Deichmann, Goyal, & Mishra, 2016;Fabregasetal.,2019; International Telecommunica-
tions Union [ITU], 2021; Mehrabi et al., 2021; Quimba, Rosellon, & Calizo, 2020; Schroeder
et al., 2021; Trendov et al., 2019). That is, substantial gaps exist between different farming
populations and regions in terms of both the availability of ICT and data services and their ability
to use them. In rural Asia, the digital divide between those who do and those who do not have
access to ICT is defined by two interrelated factors: access to technology and adequate skills to
use it (ITU, 2021; Quimba et al., 2020; Schroeder et al., 2021; Trendov et al., 2019).
Both factors are linked to poverty. First, poorer and more remote communities in rural Asia
have limited access to ICT because of high costs and a general lack of reliable electricity and
other infrastructure. Second, the smallholders within these communities have insufficient
human capital skills and knowledge to reap the benefits of digital technologies for farming, and
they do not have the income and wealth to invest in the necessary education and training. In
short, isolated rural communities are most in need of improved digital connectivity to compen-
sate for their remoteness, but they are often the least connected to allow access to ICT. Equally,
poorer smallholders in such communities could benefit significantly from the additional pro-
ductivity and income from adopting ICT for farming but lack the skills and means to do so.
This interplay between poverty, remoteness, and low ICT skills in rural areas can lead to
digital poverty traps. Smallholder households inhabiting regions with poor market access and
infrastructure often have insufficient wealth to accumulate the human capital necessary to
adopt ICT for agriculture. Consequently, such households are prone to persistent poverty, from
which they are unable to escape. If sufficiently large numbers of smallholders and communities
in rural Asia suffer from digital poverty traps, then this outcome may have economy-wide
implications. First, it will slow down the ability of ICT to transform agriculture and food sys-
tems in Asia by boosting farm productivity and efficiency (ADB, 2021; Schroeder et al., 2021;
Trendov et al., 2019). Second, if digital poverty traps are widespread, they will perpetuate the
problem of “poverty hotspots”in rural Asia, which is becoming a hallmark of current and pro-
jected global poverty trends (Ahmadzai, Tutundjian, & Elouafi, 2021; Barbier & Hochard, 2018;
Cohen, Desia, & Kharas, 2019; Graw & Husmann, 2014; Kharas & Dooley, 2022).
1404 BARBIER
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