Productivity and Investment Climate Survey, South Africa 2004

South Africa, 2004

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Reference ID

zaf-ibrd-picssa-2004-v1

Producer(s)

International Bank for Reconstruction and Development,

Collections

Other Open Research Data

Metadata

Documentation in PDF DDI/XML JSON

Created on

Feb 19, 2013

Last modified

May 14, 2020

Page views

154475

Downloads

11614

Identification

Survey ID number

zaf-ibrd-picssa-2004-v1

Title

Productivity and Investment Climate Survey, South Africa 2004

Country

Name	Country code
South Africa	zaf

Study type

Enterprise/Establishment Survey [en]

Series Information

International Bank for Reconstruction and Development, World Bank Group. Productivity and Investment Climate Survey, South Africa 2004 [dataset]. Version 1. Washington: World Bank [producer], 2006. Cape Town: DataFirst [distributor], 2013. DOI: https://doi.org/10.25828/gghv-c924

Abstract

ICAs provide a standardized way of measuring and comparing investment climate conditions in a country; replacing a number of varying and sometimes ad hoc methodologies of the past. They are envisioned by the World Bank Group’s Private Sector Development Strategy as a systematic means to “allow i) better identification of the features of the investment climate that matter most for productivity and hence income growth, especially for poor men and women, ii) tracking of changes in the investment climate within a country, and iii) comparison of countries or Regions within countries.

Kind of Data

Sample survey data

Unit of Analysis

Establishments

Version

Version Description

v1: Edited, anonymised data available for public use

Version Date

2004

Version Notes

Athough the PICS for SA collected data on 800 firms in different sectors, the dataset available from DataFirst (labelled version 1 by DataFirst) includes only data from the 603 firms in the manufacturing sector

Scope

Notes

The survey includes data on the firm productivity, the cost of doing business, the regulatory environment, the labor market, the financial sector, the trade regime and levels of investment.

Keywords

investment business

Coverage

Geographic Coverage

The survey was carried out in 4 major metropolitan areas of South Africa: Gauteng (about 63 % of the sample), Western Cape (23%), KwaZulu-Natal (9 %), and Eastern Cape (5 %).

Geographic Unit

The lowest level of geographic aggregation covered by the data is city/town and, in some cases, suburb.

Universe

The universe of interest in the survey was small (10-49 employees), medium (50-99 employees) and large (100-499 employees) enterprises in South Africa.

Producers and sponsors

Primary investigators

Name	Affiliation
International Bank for Reconstruction and Development	The World Bank Group

Funding Agency/Sponsor

Name	Role
South African Department of Trade and Industry	Funder
International Bank for Reconstruction and Development	Funder

Sampling

Sampling Procedure

About 800 firms were surveyed between January and December 2004. About 75 percent (603) of the sample were in the manufacturing sector, 14 percent in the construction industry and the remaining 11 percent in wholesale and retail trade. Within these broad sectors, firms were randomly selected from lists of firms registered with the Department of Trade and Industry (i.e. only formal registered enterprises are included in the sample). Although the samples should be broadly representative of formal firms within each sector, they are not representative of the entire economy. Because of this, and because the samples for comparator countries only cover manufacturing, data from the three sectors are presented separately in the main report. The sample included firms from major metropolitan areas in Gauteng (about 63 percent of the sample), Western Cape (23 percent), KwaZulu-Natal (9 percent), and Eastern Cape (5 percent). The sample was mainly composed of small (10-49 employees), medium (50-99 employees) and large (100-499 employees) enterprises, although about 14 percent of the sample were very large (over 500 employees). There were few microenterprises (fewer than 10 employees) in the sample, especially in the manufacturing sector.

Survey instrument

Questionnaires

The South African PICS survey used a standard core Productivity and Investment Climate Survey (PICS) questionnaire, designed by the World Bank. The PICS core questionnaire has two sections. The main section of the questionnaire collects data on the business and the investment climate in which it functions. This section should be administered to the enterprise's manager or owner.
Data is collected on:

1. Firm ownership, activities, location
2. Sales (imports, exports, supply and demand, competition)
3. Investment climate constraints
4. Infrastructure and services (power, water, transport, ict infrastructure, business services)
5. Finance (including financial services)
6. Labor relations
7. Business-government relations:
8. Legal environment:
9. Security (cost of crimes, quality of police services)
10. Business innovation, learning:

The second part of the questionnaire consists of questions on production costs, investment flows, balance sheet information and workforce statistics. This section should be administered to the accounting department/book-keeper and human resources manager.

Data collection

Dates of Data Collection

Start	End
2004-01	2004-12

Data Collectors

Name
Citizen Surveys

Data Collection Notes

Data was collected through interviews with the enterprise's manager or owner and, where possible the firm's accountant/book-keeper and human resources manager.

access_policy

Access authority

Name	Affiliation	URL	Email
DataFirst	University of Cape Town		support@data1st.org

Access conditions

Public use files, available to all

Citation requirements

Disclaimer and copyrights

Contacts

Name	Affiliation	Email	URL
DataFirst Helpdesk	University of Cape Town	support@data1st.org

Metadata production

DDI Document ID

ddi-zaf-datafirst-picssa-2004-v1

Producers

Name	Affiliation	Role
DataFirst	University of Cape Town	DDI Producer

Date of Metadata Production

2020-05-14

Metadata version

DDI Document version

Version 2

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