MWI_2014_ES-INNOV_v01_M
Enterprise Survey 2014
Innovation Follow-up Survey
Name | Country code |
---|---|
Malawi | MWI |
Enterprise Survey [en/oth]
The Enterprise Survey is a firm-level survey of a representative sample of an economy's private sector. Firm-level surveys have been conducted since 1998 by different units within the World Bank. Since 2005-2006, most data collection efforts have been centralized within the Enterprise Analysis Unit. The Enterprise Surveys are conducted across all geographic regions and cover small, medium, and large companies. The surveys are administered to a representative sample of firms in the non-agricultural formal private economy. Data is used to create indicators that benchmark the quality of the business and investment climate across countries.
The Innovation Follow-up Survey was launched in 2011 to study innovation and innovation-related activities.
During 2011-2014, 19 countries in Africa and South Asia already included in the standard Enterprise Survey have been surveyed using the innovation module. The countries are: Congo DRC, Ethiopia, Ghana, Kenya, Malawi, Namibia, Nigeria, Rwanda, Sierra Leone, South Sudan, Sudan, Tanzania, Uganda, Zambia, and Zimbabwe in Africa and Bangladesh, India, Nepal, and Pakistan in South Asia.
Sample survey data [ssd]
The primary sampling unit of the study is an establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.
v01
The scope of the study includes:
National
The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.
Name |
---|
World Bank |
Name |
---|
The Department for International Development |
World Bank |
Name |
---|
Ipsos |
Respondents were randomly selected from a list of establishments interviewed for Malawi 2014 Enterprise Survey. The goal was to have a final sample of 75% of the original businesses.
Weighs for the innovation survey are calculated from the original Enterprise Survey weights through upwards adjustment by multiplying with a cell-specific factor which equals the proportion of originally completed ES interviews to completed innovation interviews.
Start | End |
---|---|
2014-06 | 2015-02 |
Name |
---|
Knowledge Research and Consultancy |
Enterprise Surveys
https://www.enterprisesurveys.org/Portal/
Cost: None
Name | Affiliation |
---|---|
VP Development Economics and Chief Economist, Enterprise Analysis - WB | World Bank |
The use of this dataset must be acknowledged using a citation which would include:
Example:
The World Bank. Malawi Enterprise Survey (ES) 2014, Innovation Follow-up Survey. Ref. MWI_2014_ES-INNOV_v01_M. Dataset downloaded from [URL] on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | |
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Enterprise Analysis Unit | enterprisesurveys@worldbank.org |
DDI_MWI_2014_ES-INNOV_v01_M_WB
Name | Role |
---|---|
Development Data Group | Documentation of the study |
2015-09-22
v01 (September 2015)
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