Summary information

Study title

Generation and Distribution of Rural Prosperity: Questionnaire Data Collected During the Revisits to Previously Surveyed Households, 2015-2018

Creator

Brockington, D, University of Sheffield

Study number / PID

855199 (UKDA)

10.5255/UKDA-SN-855199 (DOI)

Data access

Restricted

Series

Not available

Abstract

Numerous African economies are growing rapidly and there are signs of prosperity in rural and urban regions. The greater returns the wealthy enjoy enable them to concentrate land and resources. Those without land become a rural proletariat, their livelihoods part of the general trend towards deagrarianisation, but in the absence of viable alternatives to agriculture they are not characterized by prosperity and long term prospects. We revisited families in Tanzania who had been previously surveyed and explored changes to the assets they owned with a short questionnaire. These data contain the results of those revisits.Numerous African economies are growing rapidly and there are signs of prosperity in rural and urban regions. Cheaper technology (mobile phones, motorbikes and improved seed varieties) are reaching all but the remotest parts of many countries. However it is not always clear how inclusive and pro-poor this growth is. It is all too easy for the benefits of improved agricultural production, for example, to be concentrated on relatively few wealthy farmers and even to be instrumental in creating rural deprivation and landlessness. The greater returns the wealthy enjoy enable them to concentrate land and resources. Those without land become a rural proletariat, their livelihoods part of the general trend towards deagrarianisation, but in the absence of viable alternatives to agriculture they are not characterized by prosperity and long term prospects. In this context the key issue is what assets the rural poor can build up during periods of national economic growth. Growth which is accompanied by loss of assets (loss of farmland or livestock), or a failure to accrue new assets (such as help children earn educational qualifications) among the poor, either across households, or within households (according to their gender dynamics) will not be inclusive. Panel data-sets can provide some insights into these dynamics. However these are few, they can suffer...
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Methodology

Data collection period

01/11/2015 - 04/07/2018

Country

Tanzania

Time dimension

Not available

Analysis unit

Family

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric

Data collection mode

We used household surveys revisiting families that had been previously visited in earlier research by researchers in these same villages to create a longitudinal data set.

Funding information

Grant number

ES/L012413/2

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.

Related publications

Not available