Scholarlink

<p>The objective of this article is to analyze the role of remittances in the relationship between climate change and food security in Cameroon, using cross-sectional data from the fourth Cameroonian Household Survey (ECAM 4) conducted in 2014 by the National Institute of Statistics. Food security is apprehended according to the multidimensional approach via the construction of an index from the factor analysis (FA) on two dimensions, namely accessibility and utilization. We use the instrumental variable quantile regression (IVQR) model to account for the endogeneity bias associated with the model. The results show that: (i) floods have a positive and significant effect on households in the lower quantiles of the distribution (1%, 5%, 10%, 25%, and 50%); (ii) the effect becomes negative and significant in the upper quantiles (75%, 90%, and 95%); (iii) remittances mitigate the effects of flooding on food security for the most vulnerable individuals or households. Our findings suggest, on the one hand, strengthening and institutionalizing the role of remittances as a climate adaptation mechanism and, on the other hand, the importance of encouraging households to invest remittances in activities other than agriculture.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Relationship between climate change and food security in cameroon: do remittances play a role?

  • 期刊论文

  • 发表日期：

    2026年3月6日

查看全文
  • Poelle Davy Bimai,
  • Cosmas Bernard Meka’a,
  • Astride Claudel Njiepue Nouffeussie,
  • Fabrice Nzepang

摘要

The objective of this article is to analyze the role of remittances in the relationship between climate change and food security in Cameroon, using cross-sectional data from the fourth Cameroonian Household Survey (ECAM 4) conducted in 2014 by the National Institute of Statistics. Food security is apprehended according to the multidimensional approach via the construction of an index from the factor analysis (FA) on two dimensions, namely accessibility and utilization. We use the instrumental variable quantile regression (IVQR) model to account for the endogeneity bias associated with the model. The results show that: (i) floods have a positive and significant effect on households in the lower quantiles of the distribution (1%, 5%, 10%, 25%, and 50%); (ii) the effect becomes negative and significant in the upper quantiles (75%, 90%, and 95%); (iii) remittances mitigate the effects of flooding on food security for the most vulnerable individuals or households. Our findings suggest, on the one hand, strengthening and institutionalizing the role of remittances as a climate adaptation mechanism and, on the other hand, the importance of encouraging households to invest remittances in activities other than agriculture.