An Empirical Investigation of Men's Views of Women's Contribution to Farming in Northwest Bangladesh

This paper verifies the statement that "women contribute greatly to growing crops year-round, but their work is not recognized" through in-depth empirical investigation of their participation in rice and vegetable production and farm decision-making processes in Northwest Bangladesh. Interviews were held with 240 randomly selected couples (husband and wife interviewed separately) to document their views of the female's participation in crop farming activities and farm and household decision-making. The findings reveal that women play a substantial role in farming and are increasingly involved in farm management, but they are generally overlooked or under-valued by their male counterparts. Looking at crop-specific participation, among 18 different activities of the rice production cycle, men recognized that their spouse had "high" participation in three activities, "strong" in one, "moderate" in five, and "weak" in nine. A similar result was found for activities in vegetable production. In both cases, men's recognition differed from that reported by their spouses. Logistic regression modeling against eleven variables (selected from the intersectionality and patriarchy literature) revealed six statistically significant variables that influence men to consult with their wives regarding farm decisions. The dominant variables were spouse education (years of schooling), spouse Non-governmental organization (NGO) membership, and the number of hours per day that the spouse spent working on the farm. The article provides a new insight into family dynamics in household and farm decision-making processes. The collection and analysis of both counterparts' (husband and wife) views provides empirical evidence that not only is women's participation in agricultural activities and decision-making under-recognized, but that higher education and being involved in NGO activities have a positive influence on male perceptions of women's contributions. While these findings may not be universally applicable, the framework (using intersectionality and patriarchy indicators together with logistic regression modeling) is highly adaptable. Application in other parts of Bangladesh would reveal perceptions in those regions, and would support a more comprehensive approach to future policy intervention towards gender integration into crop farming in line with promoting women's education and NGO participation.