Gender And Asset Ownership: A Guide To Collecting Individual-Level Data

Doss, Cheryl R.; Grown, Caren; Deere, Carmen Diana

doi:10.1596/1813-9450-4704

Cited by 56 publications

(58 citation statements)

References 43 publications

(46 reference statements)

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“…As suggested by Doss et al (2007), gross assets are calculated from six categories: land owned, livestock wealth, dwelling and ponds, productive assets, physical assets and financial assets (including savings and lending). Household income includes income from agriculture, poultry and livestock, wages, fisheries and forest resources, rent, remittances, and enterprise.…”

Section: Datamentioning

confidence: 99%

Evaluating the Impact of Training in Self-Help Groups in India

Swain

Varghese

2014

Eur J Dev Res

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This article evaluates the impact of widespread training programmes provided by the SelfHelp Group (SHG) programme. Indian SHGs are primarily non-governmental organisation (NGO)-formed microfinance groups funded by commercial banks. This article employs evaluation techniques appropriate for current borrowers of a national programme. In addition, the article addresses the double selection issue of membership and training. We correct for membership selection bias using a pipeline method. We then account for training endogeneity with propensity score matching. The results of regression-adjusted matching (which controls for both participation and training selection bias) reveal that specialised training, such as business training, has a greater impact on assets than general training. Furthermore, NGOs should specialise in business training. Sensitivity analyses confirm the robustness of these results.Cet article évalue l'impact des programmes de formation largement répandus dans le cadre du programme Groupe d'Entraide (GE). En Inde, les GE sont principalement des groupes de microfinance formés par des ONG mais financés par des banques commerciales. Cet article utilise des techniques d'évaluation adaptées aux emprunteurs actuels d'un programme national. De plus, l'article s'attarde sur le problème du double biais de sélection lié à la fois au fait d'être membre et à la formation. Nous corrigeons le biais de sélection lié au fait d'être membre grâce à la méthode Pipeline. Ensuite, nous tenons compte du facteur endogène lié à la formation grâce à l'appariement des coefficients de propension. Les résultats de l'appariement corrigé par régression (ce qui permet de contrôler les biais de sélection liés au fait d'être membre et à la formation) révèlent qu'une formation spécialisée telle qu'une formation commerciale a plus d'impact sur les avoirs qu'une formation généraliste. De plus, les ONG devraient se spécialiser en formation commerciale. Des analyses de sensibilité confirment la robustesse de ces résultats.

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Section: Datamentioning

confidence: 99%

Evaluating the Impact of Training in Self-Help Groups in India

Swain

Varghese

2014

Eur J Dev Res

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“…In addition, research on gender differences in human capital since the 1990s has repeatedly shown that gender inequality in education reduces national per capita income growth ( These and other studies make a convincing case that closing the gap between men's and women's ownership of assets is not only important for women's empowerment and well-being but is also a necessary step towards achieving global development goals. As explained by Doss, Grown, and Deere (2008: 3):…”

mentioning

confidence: 92%

“…In this case, women's rights to land may be either use rights or permanent rights. In Latin America women become landowners mainly through inheritance while men are much more likely to acquire land through purchases in land markets (Doss et al 2008). There are also varying levels of knowledge on the gendered patterns of asset ownership with relatively more knowledge surrounding physical and tangible assets and education compared to other nontangible assets.…”

mentioning

confidence: 99%

Gender, Assets, and Agricultural Development Programs: A Conceptual Framework

Meinzen-Dick¹,

Johnson²,

Quisumbing³

et al. 2011

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Being able to access, control, and own productive assets such as land, labor, finance, and social capital enables people to create stable and productive lives. Yet relatively little is known about how agricultural development programs can most effectively deliver these outcomes of well-being, empowerment, and higher income in a way that acknowledges differential access to and control over assets by men and women. After reviewing the literature on gender and assets, this paper offers a conceptual framework for understanding the gendered pathways through which asset accumulation occurs, including attention to not only men's and women's assets but also those they share in joint control and ownership. Unlike previous frameworks, this model depicts the gendered dimensions of each component of the pathway in recognition of the evidence that men and women not only control, own, or dispose of assets in different ways, but also access, control, and own different kinds of assets. The framework generates gender-specific hypotheses that can be tested empirically: i) Different types of assets enable different livelihoods, with a greater stock and diversity of assets being associated with more diverse livelihoods and better well-being outcomes; ii) Men and women use different types of assets to cope with different types of shocks; iii) Interventions that increase men's and women's stock of a particular asset improve the bargaining power of the individual(s) who control that asset; and iv) Interventions and policies that reduce the gender gap in assets are better able to achieve development outcomes related to food security, health, and nutrition and other aspects of well-being related to agency and empowerment. The implications of these gender differences for designing agricultural development interventions to increase asset growth and returns to assets as well as for value chain development are discussed. Based on this analysis, additional gaps in knowledge and possible investigations to address them are identified.

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“…First, achievement of a more equitable gendered distribution of assets is an important development goal. Second, ownership of assets is not only a measure of opportunities (through the ability to generate income or additional wealth) or outcomes (net wealth), it is critically important to women's bargaining power and hence their economic empowerment (Doss et al, 2008). Increasing women's access to assets and narrowing the gender-asset gap would directly improve women's wellbeing by reducing their vulnerability and lead to better development outcomes.…”

Section: Introductionmentioning

confidence: 99%

“…For example, having access to land helps with access to credit, which helps with access to purchased inputs (FAO, 2011). Further, women's ability to accumulate wealth is conditioned by the state, family, community and the market (Deere and Doss, 2006a;Doss et al, 2008). Historically, state laws limited women's ownership of assets, but reforms in such legislations have facilitated women's accumulation of wealth.…”

Section: Introductionmentioning

confidence: 99%

Gendered Asset Inequalities in Africa

Wanjala¹

2014

Development

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This article looks at gendered asset inequalities in Africa. It shows that women have lower access to land; pursue largely informal and smaller entrepreneurial activities that pay less and have low value addition; have lower access to formal finance; and, have lower political capital. To close the gendered asset gap, there is need for: reform of land and financial laws; entrepreneurial training for women; affirmative action in key areas such as education and employment; special funds/programmes for women; and, use of quotas to enhance political participation by women.

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Gender And Asset Ownership: A Guide To Collecting Individual-Level Data

Cited by 56 publications

References 43 publications

Evaluating the Impact of Training in Self-Help Groups in India

Evaluating the Impact of Training in Self-Help Groups in India

Gender, Assets, and Agricultural Development Programs: A Conceptual Framework

Gendered Asset Inequalities in Africa

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