Author(s): Younas Khan, Mussawar Shah, Asadullah, Naushad Khan
All of us, at all social scales, from the macro to the micro, are faced with global problems in ensuring food security and eradicating hunger. The current study investigates the most important elements influencing household food security in the Torghar area of Northern Khyber Pakhtunkhwa, Pakistan, in order to detect solutions. A cross-sectional survey of 379 randomly selected household heads in Khander and Judba tehsils was conducted to collect the primary data. A perception-based technique was used to quantify food security status from a sociological perspective (Likert scale). Binary logistic regression method was used to analyze the various factors that affect food security at a household level after indexing all variables. A combination of agricultural production, population growth, and climate change has had a negative influence on household food security. As a result, the study's key recommendations were to establish a synergy between the preceding facts and an operational model for dealing with these anomalies as a panacea for all ailments.