| Literature DB >> 35711468 |
Dina Najjar1, Rachana Devkota2, Shelley Feldman3.
Abstract
This paper examines how rural transformation in Uzbekistan alters gender norms and roles and, consequently, affects women's involvement in agriculture. We focus on the role that contextual factors, particularly kinship relations, government goals, and institutional structures each contribute to rural transformation and male out-migration, and how these, in turn, increase women's work in wheat production and processing. The wheat is the most important crop in the country which has the highest area coverage (35%) in Uzbekistan. We begin by highlighting the post-Soviet transition in Uzbekistan and its effects on the agricultural sector, including how households respond to opportunities for innovation. We then move to a discussion of our methodological approach drawing on insights from the GENNOVATE project, a collaborative initiative across 11 CGIAR centres that explored the relationship between changing gender norms in relation to women's roles in agricultural production and processing. Next, we examine an understudied topic in migration research i.e., how the transformation of agriculture contributes to increased dependence on unpaid female agricultural labour. We conclude with an analysis of how the feminization of agriculture alters household relations and women's participation in the public sphere. Significantly, we close with a reflection on what these changes mean for gender and innovation studies.Entities:
Keywords: Feminization of agriculture; Gender; Out-migration; Post-soviet agriculture; Uzbekistan; Wheat innovation
Year: 2022 PMID: 35711468 PMCID: PMC9180374 DOI: 10.1016/j.jrurstud.2022.03.025
Source DB: PubMed Journal: J Rural Stud ISSN: 0743-0167
Farm restructuring stages in post-Soviet Uzbekistan.
| Stages/years | Major reform | Transformation process | Dominant farm types | Policy objectives |
|---|---|---|---|---|
| First stage | Decollectivization of state farms | Transformation of | Expansion of wheat area & yields, reorganization of state farms | |
| Second stage | Farms Partial fragmentation | Transformation of | Specialization of newly established individual farms | |
| Third stage | Complete fragmentation | Complete transformation of | Development of non-cotton/wheat producing sectors, and livestock farms | |
| Fourth stage | Farm consolidation | Farm reconsolidation (farm-size optimization) | Individual farms, mainly cotton-grain producers | Increased and stable cotton yields, relocation of cotton fields |
| Fifth stage | Production specialization | Fragmentation and optimization of production | Individual farms of different specialization | Relocation of cotton and wheat fields, increased area of high value crops, multi-profile farms |
Fig. 1Projected sown area (’000 ha) of crops in Uzbekistan in 2020. Data Source: World Bank Group, 2019
Fig. 2Projected sown area (’000 ha) of crops grown in Uzbekistan from 2015 to 2020. Data source: World Bank Group, 2019
Fig. 3Provinces and districts of the four study sites.
Source: ICARDA-GU 2017.
Decision-making power on household plots in four provinces.
| Region | Sample size | Women manage the plot | Men manage the plot | Both equally manage the plot |
|---|---|---|---|---|
| Kashkadarya | 280 | 22.1 | 77.9 | 0.0 |
| Andijan | 275 | 0.7 | 97.5 | 1.8 |
| Bukhara | 159 | 0.0 | 60.4 | 39.6 |
| Samarkand | 271 | 70.7 | 29.3 | 0.0 |
The plot was defined here as the one closest to the house.
Data collection details adopted for this study.
| Data collection methods | Study sites (total no. of activities) | Sample size per activity | Total Sample size | |||
|---|---|---|---|---|---|---|
| Kashkadarya | Andijan | Bukhara | Samarkand | 896 | ||
| Focus group discussions (FGDs) with the middle and poor classes farmers | 2 | 2 | 2 | 2 | 10 participants in each FGD | 800 |
| Interviews with local innovators | 4 | 4 | 4 | 4 | 2 men and 2 women | 16 |
| Life histories with successful innovator/farmers | 4 | 4 | 4 | 4 | 2 men and 2 women farmers | 16 |
| Key informant interviews with leader | 4 | 4 | 4 | 4 | 2 men and 2 women leaders | 16 |
| Interviews with workers | 12 | 12 | 12 | 12 | 6 women and 6 men | 48 |