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The Firm Adoption of Technology (FAT) Survey, 2021-2023

India, 2021 - 2023
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Reference ID
IND_2021-2023_FAT_v01_M
DOI
https://doi.org/10.48529/5d78-5r73
Producer(s)
Xavier Cirera, Diego Comin, Marcio Cruz
Collection(s)
The Firm Adoption of Technology (FAT) Survey
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 05, 2026
Last modified
Apr 23, 2026
Page views
28905
Downloads
608

Data file: fat_india_disclosure

Firm-level Adoption of Technology (FAT) India survey dataset

Cases: 1519
Variables: 987

Variables

d5f
Adjustment of labour during technological changes
d6a
Did export?
d6b
Direct Exports (% of sales)
d6c
Imported inputs, machines or equipment?
d6d
Avg. final price paid (base = 100)
d6e
Number of days from entry to customs
d7a
Awareness - govt. support program/subsidy for tech. adoption
d7b
Benefitted from any govt. program/subsidy
d7c
Which kind of govt program/subsidy benefitted from
e1a
No. of permanent workers, full-time (ref_year1)
e1b
No. of permanent workers, part-time (ref_year1)
e1c
No. of temporary or seasonal workers, full-time (ref_year1)
e1d
No. of temporary or seasonal workers, part-time (ref_year1)
e1e
Average length of temporary or seasonal workers (ref_year1)
e1f
Total share of female workers (ref_year1)
e2a
No. of permanent workers, full-time (ref_year2)
e2b
No. of permanent workers, part-time (ref_year2)
e2c
No. of temporary or seasonal workers, full-time (ref_year2)
e2d
No. of temporary or seasonal workers, part-time (ref_year2)
e2e
Average length of temporary or seasonal workers (ref_year2)
e2f
Total share of female workers by the end of the year (ref_year2)?
e3a
No. of CEOs and Managers (ref_year1)
e3b
No. of Professionals (ref_year1)
e3c
No. of Technicians (ref_year1)
e3d
No. of Clerical support workers (ref_year1)
e3e
No. of Production workers (ref_year1)
e3f
No. of Service or sales workers (ref_year1)
e4a
No. of CEOs and Managers (ref_year2)
e4b
No. of Professionals (ref_year2)
e4c
No. of Technicians (ref_year2)
e4d
No. of Clerical support workers (ref_year2)
e4e
No. of Production workers (ref_year2)
e4f
No. of Service or sales workers (ref_year2)
e5a
% of workers - completed primary education
e5b
% of workers - completed secondary education
e5c
% of workers - vocational training
e5d
% of workers - completed college degree or more
e5e
No. of workers - engineering or applied science
e5f
No. of workers - MBA, Masters or Doctoral degree
e3g
Workers dedicated to R&D activities?
e3h
No. of workers dedicated to R&D activities?
e6a
Total sales (ref_year1)
e6b
Total sales (ref_year2)
e7a
Total labor cost (ref_year1)
e7b
Total material cost (ref_year1)
e7c
Total energy cost (ref_year1)
e7d
Operation cost (ref_year1)
e8a
Equipment cost (ref_year1)
e8b
Building cost (ref_year1)
e9a
Salaries - CEOs and Managers (ref_year1)
e9b
Salaries - Professionals (ref_year1)
e9c
Salaries - Technicians (ref_year1)
e9d
Salaries - Clerical support workers (ref_year1)
e9e
Salaries - Production workers (ref_year1)
e9f
Salaries - Service or sales workers (ref_year1)
e10a
Main product - % share in total sales
e10b
Main product - average markup
c12_6a1
N. reviews - Booking.com
c12_6a2
Rate - Booking.com
c12_6b1
N. reviews - Trip Advisor
c12_6b2
Rate - Trip Advisor
c12_6c1
N. reviews - Expedia
c12_6c2
Rate - Expedia
c12_6d1
N. reviews - AirBnB
c12_6d2
Rate - AirBnB
country
country_code
firmid
s1b_rev
s1c_rev
formality
Formal Sector
base_wt
Sampling Weight
survey_year
Survey Year
ref_year1
Reference Year 1
ref_year2
Reference Year 2
s2f
Country
s2e
State/Province
c3_0a2
Main agency regulating
s1a_rev
Sampling sector
s1b
Sampling size
s1c
Sampling location
d8a
1st obstacle to adopt technology
d8b
2nd obstacle to adopt technology
d8c
3rd obstacle to adopt technology
d8d
1st reason for the acquisition of technology
d8e
2nd reason for the acquisition of technology
d8f
3rd reason for the acquisition of technology
Total: 987
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