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The Firm Adoption of Technology (FAT) Survey, 2020

Kenya, 2020
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Reference ID
KEN_2020_FAT_v01_M
DOI
https://doi.org/10.48529/xfaw-dj39
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
24682
Downloads
268

Data file: fat_kenya_disclosure

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

Cases: 1305
Variables: 971

Variables

d2e
CEO Experience - Large firm in same sector/multinational firm
d3a
Loan - mach., equip or licensing
d3c
No. - needed to borrow but not get it
d4a
Formal Incentives - Money, gift, or recognition
d4b
No. KPIs monitored
d6a
Did export?
d6b
Direct Exports (% of sales)
d6c
Imported inputs, machines or equipment?
d7a
Awareness - govt. support program/subsidy for tech. adoption
d7b
Benefitted from any govt. program/subsidy
d7c_str
D7.c. Which kind of government support in the adoption of a new machine, equipme
d7c_1
Govt support - information
d7c_2
Govt support - tech assistance
d7c_3
Govt support - tax incentive
d7c_4
Govt support - grant
d7c_5
Govt support - loan
d7c_6
Govt support - other
e1a
No. of permanent workers, full-time (ref_year1)
e1
Total no. workers by end of (ref_year1)
e2
Total no. workers by end of (ref_year2)
e1f
Total share of female workers (ref_year1)
e3a
No. of CEOs and Managers (ref_year1)
e4a
No. of CEOs and Managers (ref_year2)
e3d
No. of Clerical support workers (ref_year1)
e4d
No. of Clerical support workers (ref_year2)
e3e
No. of Production workers (ref_year1)
e4e
No. of Production workers (ref_year2)
e3f
No. of Service or sales workers (ref_year1)
e4f
No. of Service or sales workers (ref_year2)
e5b
% of workers - completed secondary education
e5c
% of workers - vocational training
e5d
% of workers - completed college degree or more
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)
e7e_bd
Cost (ref_year1) - calendar or fiscal year
e8a
Equipment cost (ref_year1)
e8b
Building cost (ref_year1)
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
firm_id
Firm ID
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
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
s1a
Sampling sector
s1b
Sampling size
s1c
Sampling location
Total: 971
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