https://myblogepage.blogspot.com/2016/06/from-bad-to-mad.html
Article Link
Read
more
Extract from the Article
The article highlights the proactive steps
taken by popular companies like Zomato, Blinkit, and Uncle Delivery registering
on the e-Shram portal to provide social security benefits to gig workers. The
Ministry of Labour & Employment in New Delhi has allocated a substantial
budget of 32,646 crores for the financial year 2025-26, showing an impressive
80% increase from the previous year. This move is aimed at extending social
security coverage to over 400 million unorganized workers in India, marking a
significant push towards universal social security. The government's focus is
on eliminating fraud and ensuring comprehensive coverage under various schemes
for vulnerable sections of the workforce such as weavers, handloom workers, and
fishermen.
My Take
Reflecting on my blog post about the launch of
the e-Shram card, it's fascinating to see how the initiative has evolved to
include major players like Zomato and Urban Company in its ambit. The concept
of a universal account number on the e-Shram card being acceptable nationwide
now holds even more significance with the growing participation of companies in
ensuring social security for unorganized workers. The alignment of the e-Shram
portal with various schemes and the enhanced coverage under accidental
insurance highlights a step towards streamlining benefits for the workforce,
which was a concern I raised in my earlier post. This collaborative approach
between the government and private sectors resonates with the need for
inclusive and efficient social security mechanisms.
In my blog discussing e-Shram as a deep
database, the current development of companies like Blinkit and Uncle Delivery
joining the platform reiterates the significance of having a robust database to
cater to the diverse needs of unorganized workers. The focus on designing
future social benefit schemes and modifying existing ones based on the data
collected echoes the foresight I had regarding the portal's potential as a tool
for targeted schemes. With the rapid increase in registrations on the e-Shram
portal and the detailed approach towards segmenting the workforce, the vision
of tailoring multiple schemes to suit different sub-groups seems to be
materializing. This evolution reaffirms the pivotal role that data-driven decision-making
plays in shaping effective social security policies for the unorganized sector.
Call to Action
To all companies and organizations in the gig
economy, I urge you to follow the lead of Urban Company, Zomato, Blinkit, and
Uncle Delivery in registering on the e-Shram portal for the welfare of gig
workers. By actively participating in social security initiatives, you not only
contribute to the well-being of your workforce but also set a standard for
industry-wide inclusion and support. Let's advance together towards a more
secure and equitable future for all workers.
With regards,
Hemen Parekh
www.My-Teacher.in / 07
Feb 2025
PS :
Dear Prime Minister :
Here is our
opportunity of a life time
I urge you once again
to take advantage of the roaring success of e-SHRAM portal and mandate that
those employing e-SHRAM registered workers, must implement :
Extract :
Now imagine this :
# All smart phones to evolve
as Bio-metric Attendance Devices , with built-in
Bio-metric Recorders , GPS
, a mobile attendance App ( called MAD ? )
# App to have 2 buttons ( Green = IN
/ Red = OUT )
# Employee to touch IN upon reaching his
work-station and touch OUT ,
while leaving work place , at
the end of work-shift . That's all !
# Being GPS enabled , buttons will get
activated ONLY when the employee
has reached the work place ( not
while he is on his way ! )
# All 100 million establishments in India (
factories / offices / shops / clinics
NGOs / Govt Depts ) to ensure
that the MAD app is installed on the smart
phone of each employee , when he
joins
# All of these smart phones to be connected (
IoT ? ) , with the Servers of ,
* Labour Ministries (
Central and States )
* HRD Ministry ( Central )
* Skills Development
Ministry / NSDC
* Finance Ministries (
Central + States )
* NITI Aayog
* Income Tax Department
* Any other server that
you may want to
# MAD app is integrated with a STANDARD
/ COMMON , software system
for computing daily wages
/ monthly salaries of ALL the persons working
in those 100 million
establishments ( whether they are casual /
contractual /
trainee / apprentice / probationer / permanent / retained
# As each person joins in any of these
establishments , data re that
person must be inputted by
the Employer into the App , such as :
* Name / Contact
Details / DOB / Aadhar Card No / Employee Number
(
Each unique Employee Number will be auto-generated by the
common Salary Payment Software , running on IT Dept Server )
* Employee's
Jandhan Yojana Bank Account Number for salary EC
* Employer's
Jandhan bank account / Unique Employer Number
* Payment Mode
( Hourly / Daily / Monthly Rated , wages / salaries )
* Leave
provisions / PF rate / TDS rate / Allowances / Reimbursements
* Any other
relevant data ( either about employee of for employer )
WHAT ARE THE ADVANTAGES ?
# For employees , no need to file a
separate annual Income Tax Return
# Direct deposit of PF / TDS amounts
into bank accounts of Govt Depts
# Direct Benefit Transfer ( DBT ) to
every Employer for Stipend Subsidy ,
based on number of total
trainees / apprentices employed
# Total number of employees in India (
category / region / industry )
# Employment Density ( Industry wise /
Region wise / Skill wise etc )
# Net Employment Growth Rate ( weekly -
monthly / Industry-wise )
# Co-relation with no of persons
graduating at various levels
# Data about those Unemployed ( "
Graduating " less " Employed " )
# Overtime Statistics ( Use / Abuse )
# Work-hour Analysis ( Ave hours / week
- month )
# Wage / Salary Rates ( Rs per hour ) -
Industry wise / Region wise
( of great interest to
Foreign Investors looking to bring down
manufacturing
costs , by outsourcing to India / manufacturing in India )
# Compliance with labour laws / tax
laws / Apprentice Act etc
# Job Market Forecasts through BIG
DATA ANALYTIC ( region / industry )
# Demographic Profiles of
employees ( Rural to Urban migration )
# Per Capita Income Growth for persons
using MAD app ( MOM / YOY )
# Changing composition between Blue
Collar and White Collar employees
