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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 />

66

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