Article citationsMore>>

Shah, P., Hakkani-Tur, D., Liu, B. and Tur, G. (2018) Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers), New Orleans, June 2018, 41-51.
https://doi.org/10.18653/v1/n18-3006

has been cited by the following article:

• TITLE: Living Conditions Vulnerabilities of Farm Households in Cotton-Growing Areas of Northern Benin

  AUTHORS: Kassimou Issaka, Emmanuel Yaï, Francis Oninkitan Agani, Jacob Afouda Yabi

  KEYWORDS: Vulnerability, Farm Households, Living Conditions, Climate Change

  JOURNAL NAME: Agricultural Sciences, Vol.15 No.12, November 29, 2024

  ABSTRACT: The vulnerability of farms to the effects of climate change weighs heavily and indirectly on the living conditions of farming households in northern Benin. This article analyses the vulnerability of cotton-growing households to the effects of climate change. Using a simple random sample of 240 households, the study identified the hardships suffered by cotton-growing farm households in the communes of Boukoumbé and Kérou in northern Benin. The theoretical framework is based on sustainable living conditions, according to which poverty is no longer understood solely in monetary or pecuniary terms, but rather is based on a multidimensional approach. The normalization method is used to calculate the index level for each sub-component. The results show that the level of vulnerability to living conditions per household is 0.3120. Households headed by women are less vulnerable to the effects of climate change (-0.0042) than those headed by men (0.0258). The effects of climate change on household living conditions are estimated at 0.0209.