Bridging the Technological Divide

Page 236

TABLE A.1

Number of Establishments Surveyed, by Strata Sampling frame

Year and mode of data collection

Bangladesh Bangladesh Bureau of Statistics

Establishment census, 2013a

2019, face-to-face

Brazil

Establishment census, RAIS, 2018b

2019, face-to-face

Burkina Faso Business Registry

Business Registry in Commerce and Industry Chamber

2021, telephone

Ghana

Ghana Statistical Service

Economic Census (IBES Phase 1 and Phase 2), 2013

2021, telephone

India

Central Statistics Office of India

Economic Census, 2013 2020, face-to-face Annual Survey of Industries (ASI), 2017–18c

Kenya

Kenya National Bureau of Statistics

Country

Source Ministry of Labor

Establishment census, 2017

2020, telephone

Korea, Rep. Statistics Korea

Establishment census, 2018

2020–21, telephone

Malawi

National Statistical Office of Malawi

Establishment census, 2018

2019–20, face-to-face

Poland

Statistics Poland

Establishment census, 2020

2021, telephone

Senegal

National Agency for Statistics and Demography

Establishment census, 2016

2019, face-to-face

Vietnam

General Statistics Office of Vietnam

Establishment census, 2018

2019, face-to-face

Source: Original table based on the Firm-level Adoption of Technology (FAT) survey. a. For Bangladesh, the sampling frame was based on the latest establishment census available complemented with an updated list from the business registry. b. For Brazil, the information came from Relação Anual de Informações Sociais (RAIS), a matched employer-employee database ­covering all formal firms. Data for Brazil are only for the state of Ceará. c. For India, the sampling frame included firms with 10 or more workers and combines the latest establishment census (2013) for services and the ASI (2017–18) for manufacturing. Data for India are only for the states of Tamil Nadu and Uttar Pradesh.

Standard Industrial Classification of All Economic Activities (ISIC), Rev. 4. More ­specifically, the sample includes firms from the following ISIC Rev. 4 sectors: agriculture (ISIC 01, from Group A); all manufacturing sectors (Group C); construction (Group F); wholesale and retail trade (Group G); transportation and storage (Group G); accommodation and food service activities (Group I); information and communication (Group J); financial services (ISIC 64) (from Group K, financial and insurance activities); travel agency (ISIC 79, from Group N); health services (ISIC 86, from Group Q); and repair services (ISIC 95, from Group S). The survey was stratified according to the universe of establishments by sector of activity, firm size, and geographic regions. The sample is representative across these dimensions. For sectors, for all countries, the sample was stratified at least for agriculture (ISIC 01); food processing (ISIC 10); wearing apparel (ISIC 14); retail and wholesale (ISIC 45, 46, and 47); other manufacturing (Group C, excluding food processing and apparel); and other services (including all other firms, excluding retail). This sector structure of the data was used for most of the analysis in this volume. Additional sector stratification that was country specific included: motor vehicles (ISIC 29); leather (ISIC 15); pharmaceuticals (ISIC 21); land transport (ISIC 49); financial services (ISIC 64); and health services (ISIC 86). For the firm size stratification, there are three strata: small firms (5–19 workers); medium firms (20–99 workers); and large firms 210

Bridging the Technological Divide


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A.1 Number of Establishments Surveyed, by Strata

4min
pages 236-237

7.5 The Difference between Vouchers and Grants

8min
pages 219-222

Notes

5min
pages 224-225

Corporation (KOTEC

2min
page 217

References

7min
pages 226-229

7.3 Agriculture Extension: The Case of Embrapa

6min
pages 214-216

Instruments to Support Technology Upgrading at the Firm Level

2min
page 209

Adoption of Technology

6min
pages 211-213

7.1 Digital Platforms Are Prone to Market Concentration and Dominance

9min
pages 198-201

References

6min
pages 192-194

6.1 Specific Barriers to the Use of Digital Platforms

2min
page 176

Surrounded by Digital Infrastructure

0
page 174

Factual Evidence on Drivers of and Obstacles to Technology Adoption

4min
pages 172-173

References

8min
pages 161-166

Notes

2min
page 160

Technology and Resilience

2min
page 146

Digital Technologies

2min
page 138

Introduction

1min
page 137

References

4min
pages 134-136

4.10 Technology Sophistication Contributes to Wage Inequality within Firms

1min
page 132

Introduction

1min
page 121

References

2min
pages 117-120

Functions Manually

1min
page 100

Technology Differences across and within Sectors

2min
page 96

Introduction

1min
page 95

References

3min
pages 93-94

Summing Up

2min
page 91

Notes

2min
page 92

Other Technology Facts

2min
page 86

Business Functions Varies across Firm Size

1min
page 83

Introduction

1min
page 73

Using the FAT Data to Understand Some of the Limitations of Standard Measures of Technology

4min
pages 63-64

References

4min
pages 70-72

Measuring Adoption and Use of Technology by Firms

2min
page 48

References

3min
pages 42-46

Opening the Black Box: The Firm-level Adoption of Technology (FAT) Survey

4min
pages 50-51

Introduction

1min
page 47

Notes

2min
page 41

Technology (FAT) Survey

1min
page 52
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