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The Promise of Technology for Women’s Employment

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The Promise of Technology for Women’s Employment

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According to ILO’s Flagship Report (2021) on the platform sector, there was a 10-fold enhance within the quantity digital labour platforms during the last decade on the planet, with India accounting for 8% of the world’s labour market platforms. This proliferation of digital labour market platforms, together with gig work, took-off sharply throughout the COVID-19 pandemic. It supplies a possibility to harness and scale-up know-how to enhance employment alternatives in India, significantly within the blue-collar sector, but additionally enhance ladies’s labour pressure participation by decreasing job search prices and offering alternatives for extra versatile work.

As mentioned in a recent report on the platform market, the potential of this sector for India is excessive, given its domination by comparatively youthful staff (under 35 years) and jobs which might be responding to the structural shift away from agriculture in direction of companies (for instance, supply, magnificence and wellness, BPO, buyer care), significantly in India’s burgeoning cities. India represents a really perfect floor for growing the presence of digital labour: it has amongst the youngest populations on the planet (68% of inhabitants is within the 15-64 class and 25% are lower than 15 years of age, with the demographic dividend anticipated to peak in 2041); we see speedy development in smartphone utilization (projected to reach one billion users by 2026); and growing urbanisation (India’s city inhabitants is estimated to stand at 675 million in 2035, the second highest behind China’s one billion).

The nature of those digital platforms is diversified – from people who purely match job seekers with employers for short- or long-term work contracts, to self-employment and gig work on the platform itself. The former ease job search throughout areas or domestically (or hyper-locally, within the case of Apna and Qjobs), whereas the latter present employment together with supply and transport (for instance, Uber, Urban Company). This know-how can, subsequently, doubtlessly meet the varied wants of various demographic teams of staff, when it comes to location, flexibility and hours of labor.

The challenges

In order to take full benefit of the potential of this know-how, there are a number of challenges that must be addressed, total and particularly to make sure that ladies don’t lose out on benefitting from this technological change.

First, entry to know-how (on this case, smartphone possession) shouldn’t be solely woefully gender imbalanced, however in India, ladies’s bodily mobility can also be low. Women apply for a lot fewer job/occupation varieties on digital platforms relative to males, indicating the dearth of a wider vary of abilities. They are additionally prepared to journey shorter distances for work than males. Previous work led by the Indian Statistical Institute (ISI) (Delhi) in city Delhi reveals that offering info on job platforms and facilitating the registration course of via engagement with staff’ social networks, may also help enhance earnings and supply safer work alternatives for males in poor households. It additionally advantages low-skilled ladies, who typically desire home-based work or self-employment. However, platform publicity alone could not enhance ladies’s wage employment considerably except they will transfer round freely.

Second, abilities and capital are sometimes in brief provide – significantly amongst ladies, stopping the maximisation of positive aspects from self-employment and gig work via platforms. Besides making staff conscious of the work alternatives within the platform sector, there’s a want to supply them with talent coaching that align with the character of labor on platforms. In addition, entry to capital via loans (for instance, buying a automobile required for some sorts of platform and gig work, corresponding to offering door-to-door magnificence companies) is commonly restricted.

Third, info asymmetry between the demand and provide ends of the labour market is a central concern with platforms. For occasion, employers depend on the platform to confirm the talent stage of staff, whereas staff typically don’t carry talent certification.

Finally, public infrastructure (corresponding to public bathrooms, avenue lighting and street security) is woefully insufficient, particularly in Tier 1 and a couple of cities, to satisfy the wants of an agile workforce – staff’ bodily mobility is essential to gig work, which tends to be location based mostly. Addressing that is particularly essential to enhance ladies’s mobility in order that they will have interaction within the sector.

Finding options: How information may also help

Many platforms are embedding skilling and certification inside the platform itself, together with mushy and laborious abilities. Further, there was an ongoing authorities initiative of matching talent trainees with potential employers via job matching and different labour platforms. But we all know little or no, if something in any respect, in regards to the impression of talent coaching on employment outcomes. Have these programmes been profitable in offering employment? Which platforms have been roughly profitable, and which occupation/sectors have seen extra demand for expert trainees? The Ministries of Labour and Employment, and Skill Development and Entrepreneurship, together with the National Skill Development Corporation have a wealth of administrative information on the above, which could be harnessed to perceive how digital platforms linked to skilling have an effect on employment and earnings. These information may permit us to judge the potential advantages of a standardised talent certification and employee verification system that features portability of certification.

Further, the platforms keep individual-level information on contributors and employers, which is essential to understanding who takes up these programmes, what abilities are chosen by contributors who enrol themselves for coaching, who will get positioned, what’s the uptake of jobs supplied, and demand mapping. There is a dearth of end-to-end information on this sector – typically platforms (significantly matching platforms) don’t monitor people all the way in which as much as the purpose of acquiring a job. Further, accessing and analysing information from digital labour markets and platforms to grasp how work and skilling preferences align with labour demand is crucial.

The evaluation of administrative information from talent centres, mixed with platform information and data on work preferences, may even present insights into the attainable gender gaps within the skilling ecosystem, and potential coverage measures required to plug these gaps. In addition, embedding survey questions on participation within the platform sector inside the Periodic Labour Force Survey will present complete, nationally consultant information to measure the expansion of this sector and assess prospects.

Creating an ecosystem that addresses points starting from info asymmetries to talent certification and gaps in public infrastructure, utilizing each public information and people accessible from the platforms, is vital to faucet the complete potential of this sector, each total and from a gender lens. The upcoming ‘Digital Labor and Women’s Economic Empowerment’ program at IFMR-LEAD and ISI (Delhi) goals to tell these points on the way forward for work in India.

Farzana Afridi is a Professor at ISI Delhi and the most recent recipient of the Mahalanobis medal awarded by the Indian Econometric Society.

This article was printed in collaboration with Ideas for India.


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