000 02689nam a22003137a 4500
999 _c62659
_d62651
001 62659
003 MX-TxCIM
005 20220920150325.0
008 190522s2020 xxu||||| |||| 00| 0 eng d
024 8 _ahttps://dx.doi.org/10.2139/ssrn.3673061
040 _aMX-TxCIM
041 _aeng
100 1 _916255
_aAmare, M.
245 1 0 _aImpacts of COVID-19 on food security :
_bpanel data evidence from Nigeria
260 _aWashington, DC (USA) :
_bIFPRI,
_c2020.
300 _a39 pages
490 _aIFPRI Discussion Paper ;
_v01956
520 _aThis paper combines pre-pandemic face-to-face survey data with follow up phone surveys collected in April-May 2020 to quantify the overall and differential impacts of COVID-19 on household food security, labor market participation and local food prices in Nigeria. We exploit spatial variation in exposure to COVID-19 related infections and lockdown measures along with temporal differences in our outcomes of interest using a difference-in-difference approach. We find that those households exposed to higher COVID-19 cases or mobility lockdowns experience a significant increase in measures of food insecurity. Examining possible transmission channels for this effect, we find that COVID-19 significantly reduces labor market participation and increases food prices. We find that impacts differ by economic activities and households. For instance, lockdown measures increased households' experience of food insecurity by 12 percentage points and reduced the probability of participation in non-farm business activities by 13 percentage points. These lockdown measures have smaller impacts on wage-related activities and farming activities. In terms of food security, households relying on non-farm businesses, poorer households, those with school-aged children, and those living in remote and conflicted-affected zones have experienced relatively larger deteriorations in food insecurity. These findings can help inform immediate and medium-term policy responses, including social protection policies aiming at ameliorating the impacts of the pandemic, as well as guide targeting strategies of governments and international donor agencies by identifying the most impacted sub-populations.
546 _aText in English
650 7 _2AGROVOC
_916256
_aCOVID-19
650 7 _2AGROVOC
_916257
_aPandemics
650 7 _aFood security
_gAGROVOC
_2
_91118
650 7 _2AGROVOC
_99241
_aLabour market
650 7 _2AGROVOC
_98945
_aFood Prices
700 1 _914360
_aAbay, K.A.
700 1 _916258
_aTiberti, L.
700 1 _aChamberlin, J.
_gFormerly Socioeconomics Program
_gSustainable Agrifood Systems
_8I1706801
_92871
942 _2ddc
_cBK
_n0