South Asia faces multiple food security challenges, one of which being its extreme vulnerability to climate change. Millions living in the region are expected to be affected by water stress, yield loss, and other climate disasters caused by rising temperatures. Technological innovations can in important tool in ensuring food and livelihood security in the region, but social inclusivity is key to promoting the large-scale adoption of new technologies and practices.
Women’s participation in agricultural activities is increasing over time, but many still have limited capacity to contribute to farm decision-making. They may also have limited control over and access to resources such as credit, extension services and markets. The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has developed and piloted the use of climate-smart villages (CSVs) in the Indian states of Bihar and Haryana to test climate-smart agriculture options for managing climate-related risks and promoting gender equality in agricultural production.
As climate change disproportionately affects poor and socially marginalized groups, including women, it is important to understand the ways in which the climate-smart approach helps to address specific climate change adaptation challenges. However, there are few studies to date focusing on this question.
In an attempt to fill this gap, a new study carried out as part of the CCAFS project on Climate-Smart Agriculture analyzes the extent to which the climate-smart village approach can contribute to establishing greater gender equality across the agricultural, political, social and economic sectors. The study introduces a Gender Empowerment Index for climate-smart villages, based on measurable indicators. It also documents the gender gap by mapping differences in empowerment levels across selected climate-smart villages and other villages across India’s eastern and western Indo-Gangetic Plains.
Climate change impact on Mexico wheat production. 2018. Hernandez-Ochoa, I.M., Asseng, S., Kassie, B.T., Wei Xiong, Robertson, R., Pequeño, D. N. L., Sonder, K., Reynolds, M.P., Md Ali Babar., Molero, A., Hoogenboom, G. In: Agricultural and Forest Meteorology v. 263, p. 373-387.