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Brautigam, D, Johns Hopkins University School of Advanced International Studies
Study number / PID
855130 (UKDA)
10.5255/UKDA-SN-855130 (DOI)
Data access
Restricted
Series
Not available
Abstract
This survey was administered by Tanzania’s National Bureau of Statistics (NBS) in conjunction with their Annual Survey of Industrial Production (ASIP) in 2016. The survey was administered to plant managers and was designed to elicit information about (i) formal links between foreign and domestic firms; (ii) the mechanisms by which knowledge is transferred and (iii) the benefits obtained from foreign firms.For the past decade, Sub-Saharan Africa has been growing, yet growth is not the same as structural transformation. China's development trajectory since 1980 provides an example of how a government focused on modernization can marshal foreign capital and technology to assist in the reduction of poverty and economic transformation in manufacturing and agriculture. In Africa, China is largely seen as a competitor for local firms, primarily through imports. This competition can be devastating in some countries and some sectors, driving local firms out of business. Yet on the other hand, growing Chinese investment in African manufacturing and contract farming can also offer opportunities for joint ventures with local firms, training, and diffusion of more productive technologies. If this were to follow Asian experience, Chinese firms could be catalysts for local firms to move into manufactured exports, although they might also be footloose investors, moving on with only fleeting impact on local knowledge. In agriculture, Chinese investment might also be enclave, with little connection to local farmers - the picture presented in fears of "land grabbing" - or it might follow the pattern laid out by foreign investors in China, with out-growers, demonstration farms, and technology and skills transfers.
Our earlier research suggested that Chinese firms are thinking strategically about backward linkages. For example, at least five Chinese shoe manufacturers we interviewed in 2009 had moved their shoe-making assembly lines to Nigeria, while still importing...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/06/2015 - 30/11/2019
Country
Tanzania
Time dimension
Not available
Analysis unit
Organization
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
The Technology Transfer survey was administered as an additional module in the 2016 Annual Survey of Industrial Production (ASIP), conducted by Tanzania’s National Bureau of Statistics (NBS). There were 1,558 manufacturing establishments that completed the survey. ASIP uses the International Standard Industrial Classification of All Industrial Activities (ISIC) Revision 4 to capture all establishments that were active in 2016 and engaged in any of the following activities; Mining and quarrying, manufacturing, electricity, gas, steam and air conditioning supply, and water supply, sewerage, waste management and remediation activities. The ASIP is a census of all establishments which engaged 10 persons or more (10+); the list of the universe of such firms operating in 2016 is maintained and updated by NBS.The statistical unit used in the ASIP is an establishment, which is defined as an economic unit, under a single ownership or control, engaging one or predominantly one kind of economic activity at a single physical location, for example; an individual firm, mining, factory or workshop. Enumerators visited all establishments to help fill in the questionnaires, and completed forms were edited and coded under NBS management. Additional details on the survey methodology can be found in the documentation file and NBS website.
Funding information
Grant number
ES/M004074/1
Access
Publisher
UK Data Service
Publication year
2021
Terms of data access
The Data Collection is available for download to users registered with the UK Data Service.