Summary information

Study title

Multi-Criteria Mapping Raw Data, 2020

Creator

Arora, S, University of Sussex

Study number / PID

855180 (UKDA)

10.5255/UKDA-SN-855180 (DOI)

Data access

Open

Series

Not available

Abstract

These data were collected in Chennai, India, and Machakos, Kenya, using two-day workshops in each location. The aim of the workshops was to explore perspectives on pathways out of rural poverty, in ways that do justice to the complexity and uncertainty inherent to such pathways. Using the interactive appraisal method called Multicriteria Mapping (MCM, http://www.multicriteriamapping.com/about), the workshops afforded the participants to foreground pathways (out of poverty) that they consider to be relatively more effective than others.Global poverty looks radically different in the 21st century as climate-related events, political-religious conflicts and economic growth-inequality nexuses add to persistent forms of social exclusion based on gender, race, and class. In this uncertain and unpredictable context, we require new approaches to understand complex pathways into and out of poverty, directing attention to poor people's collective capacity to bring about transformative change i.e., their agency, as constituted by social networks and relations with nature, and mediated by science and technology. Our aim is to develop the concepts and methods of an innovative 'relational agency pathways approach', drawing on theories from Science, Technology and Society studies and the 'pathways approach' to poverty reduction and social justice, which emphasise interactions between social, technological and environmental change. We will develop this new approach to understand diverse pathways out of poverty for smallholders and the landless in agriculture, in two arenas. First, we will study how small farmers and farmworkers adapt new technologies on the farm, as their cultivation practices are transformed due to technological and environmental change. Second, we will study how farmers turn a harvested crop into a commodity for the market, negotiating their relationships with credit providers and traders. Both these arenas played out dramatically under the 'Green...
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Methodology

Data collection period

01/10/2016 - 31/03/2020

Country

Kenya, India

Time dimension

Not available

Analysis unit

Individual

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric
Text

Data collection mode

As noted above, we used MCM for data collection. A plural and hybrid appraisal method, MCM allows the combination of quantitative rigour with qualitative flexibility, to enable the linking of less tangible (subjective, narrative) factors in poverty reduction, with more visible and dominant economic data (e.g. on incomes, wages, and changes in crop yields). Through MCM, we attempted to encompass the multiplicity of participants’ knowledges and values, manifesting in their appraisals of diverse pathways out of poverty. The aim was not to reach a consensus but rather to give equal attention to contrasting perspectives and assumptions. Thus, key disagreements about why particular pathways were favoured over others, were considered as important as seeking common grounds for policy-making.

Funding information

Grant number

ES/N014456/1

Access

Publisher

UK Data Service

Publication year

2022

Terms of data access

The Data Collection is available to any user without the requirement for registration for download/access.

Related publications

Not available