DFID Research Project

Enabling Innovation and Productivity Growth in Low Income Countries (EIP-LIC)

Innovation and growth

Databases

Primary datasets - Innovation Capability Survey (ICS) 

In collaboration with the Enterprise Analysis Unit (DECEA) of the Development Economics Group of the World Bank World Bank, the researchers of the ‘Innovation Systems’ theme under EIP-LIC collected data in all 10 countries of study under the project. The primary datasets of the enterprise surveys are open access available.

Bangladesh:

Ethiopia:

Ghana:

Indonesia:

Kenya:

South Africa:

Tanzania:

Uganda:

Information on DECEA’s global survey methodology can be found at the Unit’s website.

Please see the World Bank’s Enterprise Survey website for detailed information on the Innovation Follow-up Surveys and Enterprise Surveys (ES). In particular, the implementation reports of the respective surveys contain useful information on the design and implementation of the surveys.

Regional database DFID – African sub-national regions

This sub-national database contains information about 36 regions from eight African countries and 34 variables. The data used for building this database stems from the Enterprise Surveys of the World Bank, the Demographic Health Surveys available at statcomiler.com and the Afroborameter (Afrobarometer.org).

Qualitative data - Case studies

Tilburg University and overseas partners developed a series of case studies of manufacturing SMEs in each of the 10 countries of study of EIP-LIC. The holistic case study approach and method involved interviews capturing original insights, views and perceptions of SME owners and managers. A similar research format producing comparable data was used for all countries of study, enabling cross-country comparison to identify overall trends and patterns in innovation and productivity policy and research issues in manufacturing SMEs in LICs.

In operational terms, in each of the 10 countries, 15-20 semi structured interviews were conducted with owners and managers of SMEs in manufacturing such as textiles, metal processing, food processing, wood, construction etc. The 1.5 hour interviews discussed types of innovation, the firm’s history, its innovation processes, internal capabilities, and the external business and institutional context. The interviews were recorded, transcribed and stored in a qualitative research database (complete sets of interviews on audio files and transcripts narratives).

The qualitative data are available for interested external researchers, in line with the open access policy of DFID. However, since the data contain possible sensitive statements and confidential information of the interviewees, in accordance with ethical codes of qualitative research, the material is not directly accessible via the website. Interested researchers would like to work with the data can contact the project to request access to the data. One key condition is a signed written agreement stating that the external researcher observes similar confidentiality of the data.