Abstract:Why do men and women adopt agricultural technologies at different rates? Evidence from Ghana suggests that gender-linked differences in the adoption of modern maize varieties and chemical fertilizer are not attributable to inherent characteristics of the technologies themselves but instead result from gender-linked differences in access to key inputs.
Policy makers and interest groups have many questions about the use of improved technologies in developing country agriculture. These include the roles of policies, institutions, and infrastructure in the adoption of improved technologies and their impact on productivity and welfare. Most micro-level adoption studies, however, cannot address these important policy issues. Drawing on an extensive review of the literature on the adoption of agricultural technologies, this article suggests alternative approaches for designing technology adoption studies to make them useful for policy makers. It explores the generic limitations of cross-sectional adoption studies carried out in small numbers of communities and discusses some problems faced in conducting such studies. Recommendations include the use of sampling approaches that allow data from microstudies to be generalized to higher levels of aggregation, adherence to clearly defined terms that are standardized across studies, and careful examination of the assumptions that often underlie such studies.JEL classification: Q16, Q12, O13, O30
Is there a gender asset gap? This article examines the evidence available on the distribution of wealth by gender around the world and asks why we do not know more. One of the contributions of feminist economics has been to demonstrate that household and individual welfare are not necessarily the same. However, relatively little work has been done that disaggregates the ownership of assets within the household to determine how asset distribution affects the gendered pattern of wealth ownership overall or how it impacts household decisions and women's well-being. As an initial step in this project, a number of factors are examined that affect women's ability to accumulate wealth, with emphasis on marital and inheritance regimes. Finally, the myriad ways in which the gender distribution of wealth is important are discussed.Wealth, assets, gender inequality, marital regimes, inheritance, intrahousehold bargaining, JEL Codes: J16, D31, P48,
Sustainable Development Goal 5 (SDG) on gender equality and women’s rights and at least 11 of the 17 SDGs require indicators related to gender dynamics. Despite the need for reliable indicators, stylized facts on women, agriculture, and the environment persist. This paper analyzes four gender myths: 1) 70% of the world’s poor are women; 2) Women produce 60 to 80% of the world’s food; 3) Women own 1% of the world’s land; and 4) Women are better stewards of the environment. After reviewing the conceptual and empirical literature, the paper presents the kernel of truth underlying each myth, questions its underlying assumptions and implications, and examines how it hinders us from developing effective food security policies.
Lack of clarity behind measurement and interpretation of statistics on gender and land leads to an inability to clearly articulate a policy response to the potential inequalities faced by women and men. This article sets out to explore, conceptually and empirically, the levels and relative inequalities in land rights between women and men in African countries. The first section of the article engages in a conceptual discussion of how to measure gendered-land outcomes, what ownership and control mean in different contexts, and why attention to these factors is important for the development of gender and land statistics. The second section of the article systematically reviews existing evidence from microlevel large sample studies to summarize recent trends in land access, ownership, and control by sex. The third section presents new statistics from a variety of nationally representative and large-scale unpublished data on gender and land in Africa. Results provide not only a nuanced understanding of the importance of measuring land indicators for gendered development in Africa and globally but also new statistics on a variety of land outcomes to aid stakeholders in the discussion of gender-land inequalities.JEL classifications: J16, O13, Q15
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