Mathur Ritika Passi
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Unlike basic and critical infrastructure<br />
needs where the public sector is expected to<br />
be the prominent investor, the government<br />
must leverage the expertise and the<br />
financial capabilities of the private sector<br />
to drive investment in cyber infrastructure.<br />
Platforms such as Digital India and other<br />
policy directives must act as a catalyst to<br />
ensure the private sector plays a dominant<br />
role.<br />
In addition to building infrastructure,<br />
targets 9.1 and 9.4 also focus on ensuring<br />
infrastructure built be sustainable—a<br />
challenge facing the Indian policymakers as<br />
well. In this regard, the Indian government,<br />
through its Smart City initiative (announced<br />
by Prime Minister Modi in 2014), is trying<br />
to blend green infrastructure into urban<br />
planning. By creating walkways, preserving<br />
and developing open spaces, providing<br />
efficient public transport with last-mile<br />
connectivity, and ensuring infrastructure<br />
is less vulnerable to natural disasters,<br />
the government is attempting to reshape<br />
and reimagine urban planning in India. 9<br />
It remains to be seen, however, how this<br />
project unfolds, given the concern that<br />
it could further increase inequality and<br />
exacerbate social inclusion.<br />
Encouraging Inclusive and<br />
Sustainable Industrialisation<br />
Industrialisation refers to the process of<br />
shifting an economy’s dependency from<br />
the agriculture sector to the manufacturing<br />
and services sectors. The MDGs remained<br />
silent on this shift. Target 9.2 aims to<br />
promote this process by raising the share<br />
of employment in industry, and raising<br />
industry’s share in GDP. The importance of<br />
India’s industrialisation, in particular the<br />
importance of the manufacturing sector, is<br />
discussed in detail in Chapter 8. The focus<br />
in this chapter is primarily on the “inclusive<br />
industrialization” component mentioned<br />
in 9.2, which in the Indian context should<br />
mean promoting micro, small and medium<br />
enterprises (MSMEs), which effectively<br />
form the content of target 9.3.<br />
Given that these enterprises are a key<br />
feature of most developing and emerging<br />
economies, ensuring they are included in<br />
the process of industrialisation in the post-<br />
2015 development agenda is very much<br />
welcome. In India, as of 2012-13, the sector<br />
had a total of over 40 million working<br />
enterprises, employing over 100 million<br />
people 10 (approximately 40% of India’s<br />
workforce). 11 The sector also contributes<br />
significantly to India’s GDP: As of 2012-13,<br />
its share in total GDP stood at 37.54%, with<br />
manufacturing accounting for 7.04% and<br />
services 30.50%. 12<br />
In order for the MSME sector to grow,<br />
access to funds is critical, something SDG<br />
9 rightly captures in its third target. As per<br />
a 2012 International Finance Corporation<br />
study, the total finance requirement of<br />
the sector in India stood at $650 billion.<br />
But a number of constraints have led to a<br />
significant funding gap to the tune of $418<br />
billion. 13,14 As the Indian economy grows,<br />
the share of the MSME sector is expected to<br />
expand considerably. The need of the hour is<br />
then to bridge this finance gap, particularly<br />
through the formal financial framework,<br />
a key component of the overall SDG<br />
framework.<br />
In India, however, a number of current<br />
practices constrain the flow of funds to<br />
these enterprises. First, data for the sector<br />
is collated as per the definitions provided in<br />
the Micro, Small and Medium Enterprises<br />
Development (MSMED) Act, 2006. The<br />
reliance of banks (particularly public<br />
sector banks) to gather said information<br />
is counterproductive, since MSMEs are<br />
more heterogeneous than their definition<br />
allows for. There is a need, therefore, to go<br />
beyond the formalised definition and collect<br />
disaggregated data based on factors such<br />
as location, access to natural resources and<br />
infrastructure, and nature of the enterprise.<br />
Second, the products and services offered to<br />
MSMEs are conceptualised at the head office<br />
of financial institutions rather than branch<br />
offices that directly engage with MSMEs.<br />
These products thus lack innovation and<br />
are standard in nature. Furthermore, these<br />
services require significant collateral as<br />
backup, ignoring the fact that MSMEs<br />
do not have access to such collateral.<br />
Often, enterprises which require a high<br />
risk premium are refused access to these<br />
services. Third, the underwriting process<br />
relies primarily on financial performance.<br />
This proves to be counterproductive, as<br />
these enterprises are often unable to provide<br />
documented financial information. The<br />
problem is further compounded by the fact<br />
that credit information of these enterprises is<br />
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