1. Household Vulnerability to Food Security
Resulting from Climate Change
in the Philippines
Food and Nutrition Research Institute
Department of Science and Technology
3. As defined in the World Food Summit, food security is existing
“when all people at all times have access to sufficient, safe, and
nutritious food to maintain a healthy and active life”.
WHO, 1996
Food Security
Food and Nutrition Research Institute
Department of Science and Technology
5. Chronically
Food Insecure
• food insecure
today and
likely to be so
in the future
unless assisted
Temporarily
Food Secure
• food secure
today but likely
to be food
insecure in the
future unless
assisted
Temporarily
Food Insecure
• food insecure
today but likely
to be food
secure in the
future without
any assistance
Permanently
Food Secure
• food secure
today and
likely to be
food secure in
the future even
without
assistance
Food Security Concept
Food and Nutrition Research Institute
Department of Science and Technology
6. What is vulnerability?
Vulnerability = sensitivity + exposure - adaptability
HazardHazard
ExposureExposure
ImpactImpact
SensitivitySensitivity
Adaptive
Capacity
Adaptive
Capacity
Vulnerability to
Climate Change
Vulnerability to
Climate Change
Outcome VulnerabilityOutcome Vulnerability Contextual VulnerabilityContextual Vulnerability
income
gender
occupation
Food and Nutrition Research Institute
Department of Science and Technology
7. What is vulnerability to climate change?
Food and Nutrition Research Institute
Department of Science and Technology
8. Why assess vulnerability?
Priority Setting
Developing policies and
adaptation strategies
Fostering collaboration
Food and Nutrition Research Institute
Department of Science and Technology
10. Classification of Vulnerability Index
And Energy Consumption
Not Vulnerable Vulnerable
0.5 10
Vulnerability Index
Caloric threshold
Inadequate Energy Intake Adequate Energy Intake
0
Food and Nutrition Research Institute
Department of Science and Technology
11. Objectives of the Study
• identify and map the location of vulnerable groups
• determine the degree of vulnerability
• formulate policies that help a community or a particular
household adapt to climate shocks
• determine the association of policy-related actions with
small adverse effects of climate change
Food and Nutrition Research Institute
Department of Science and Technology
12. Data Sets Used
FNRI
Socio-demographic,
household information
and dietary variables
Age of hh head
Sex of hh head
Occupation of hh head
No of appliances owned
Total calories consumed
Etc.
NSO
Wealth-related variables
Total Income
Share of Income from
Farming
PAGASA
Downscaled climate data
Precipitation
Maximum Temperature
Minimum Temperature
Food and Nutrition Research Institute
Department of Science and Technology
14. Self-Assessed Hunger, Inadequate Energy Intake
and Vulnerability
0 0.1 0.2 0.3 0.4 0.5 0.6
Vulnerable
Inadequate
Energy Intake
Self-Assessed
Hunger
Proportion
2003 National Estimates of Food Insecurity
Food and Nutrition Research Institute
Department of Science and Technology
15. Self-Assessed Hunger, Inadequate Energy Intake
and Vulnerability
0
0.2
0.4
0.6
0.8
1
2003 Regional Estiamtes Food Insecurity
Self Assessed Hunger (Proportion) Inadequate Energy Intake (Proportion) Vulnerability Index (mean)
Food and Nutrition Research Institute
Department of Science and Technology
16. 0%
20%
40%
60%
80%
100%
1-4 5-8 9-12 13 up
Household Size
Inadequate Energy Intake (proportion) Vulnerability Index (mean)
2003 Estimates of Vulnerability across Household Size
Food and Nutrition Research Institute
Department of Science and Technology
17. 2003 Estimates of Vulnerability across Educational
Attainment of Household Head
0%
20%
40%
60%
80%
100%
At most 3rd Grade 3rd Grade - 4th Year
High School
1st year College - 3rd
Year College
College Graduate and
Above
Educational Attainment
Inadequate Energy Intake (proportion) Vulnerability Index (mean)
Food and Nutrition Research Institute
Department of Science and Technology
18. 2003 Estimates of Vulnerability and Fraction of Calorie
Consumed Relative to Expected Calorie Consumption
Calorie Consumed Over Expected Calorie Consumption
VulnerabilityIndex
10200.40.60.81.0
0.0 0.2 0.4 0.6 0.8 1.0
Food and Nutrition Research Institute
Department of Science and Technology
19. 2003 Estimates of Vulnerability and Precipitation
(Agricultural Households)
2003 Rainfall (mm)
VulnerabilityIndex
0.00.20.40.60.81.0
1500 2000 2500 3000 3500
Lowess smoother
Food and Nutrition Research Institute
Department of Science and Technology
20. 2003 Maximum Temperature (C)
VulnerabilityIndex
0.00.20.40.60.81.0
27 28 29 30 31 32
0.2.4.6.81
2003 Estimates of Vulnerability and Maximum Temperature
(Agricultural Households)
Food and Nutrition Research Institute
Department of Science and Technology
21. 2003 Minimum Temperature (C)
VulnerabilityIndex
0.00.20.40.60.81.0
14 16 18 20 22 24
14 16 18 20 22 24
2003 Estimates of Vulnerability and Minimum Temperature
(Agricultural Households)
Food and Nutrition Research Institute
Department of Science and Technology
22. Vulnerable
Total
Inadequate Energy
Intake
No Yes
No 40.99% [0.2057] 4.23% [0.6650] 45.22 [0.2487]
Yes 5.91% [0.3257] 48.87% [0.8051] 54.78 [0.7534]
Total 46.90% [0.2209] 53.10% [0.7940] 100.00 [0.5252]
Inadequate energy intake and Vulnerability in the Philippines, 2003
(population shares in % and mean vulnerability probability in parenthesis)
Vulnerability and Inadequate Energy Intake
Food and Nutrition Research Institute
Department of Science and Technology
23. • 48.87% of households are chronically food insecure
(food insecure today and likely to be so in the future unless assisted)
• 4.23% of households are temporarily food secure
(food secure today but likely to be food insecure in the future
unless assisted)
• 5.91% of households are temporarily food insecure
(food insecure today but likely to be food secure in the future
without any assistance)
• 40.99% of households are permanently food secure
(food secure today and likely to be food secure in the future
even without assistance)
Summary of Food Insecurity of 2003
Food and Nutrition Research Institute
Department of Science and Technology
25. Simulation: Maximum Temperature and Vulnerability
0%
20%
40%
60%
80%
100%
actual 5% increase in maximum
temperature
10% increase in maximum
temperature
MeanVulnerability
2003 2008
Food and Nutrition Research Institute
Department of Science and Technology
26. Maximum Temperature in the Philippines (1979-2050)
Food and Nutrition Research Institute
Department of Science and Technology
27. Simulation: Minimum Temperature and Vulnerability
0%
20%
40%
60%
80%
100%
actual 5% increase in minimum
temperature
10%increase in minimum
temperature
MeanVulnerability
2003 2008
Food and Nutrition Research Institute
Department of Science and Technology
28. Minimum Temperature in the Philippines (1979-2050)
Food and Nutrition Research Institute
Department of Science and Technology
29. Simulation: Educational Attainment and Vulnerability
0
0.1
0.2
0.3
0.4
0.5
0.6
actual mimimum of
elementary level
minimum of high
school level
at least college
MeanVulnerability
2003 2008
Food and Nutrition Research Institute
Department of Science and Technology
30. Thank You.
We do not own/claim any of the pictures
included in this presentation.
31. Characteristics Of Household Head
• Age
• Education
• Civil Status
• Sex
• Occupation
• Place of Work
• Physiological Status
Variables Used in the Study
32. Variables Used in the Study
Characteristics Of Household Dwelling
• Number of Rooms
• Other rooms used for sleeping
• Tenure status of Dwelling unit
• Tenure status of lot
• Roofing Materials
• Walling Materials
• Flooring Materials
• Type of Dwelling Unit
• Availability of Electricity
• Appliances
• Toilet Facility
• Household Size
33. Variables Used in the Study
Communication Infrastructure
• Telephone/Cellphone
Household Transportation
• Car
• Motorcycle/Tricycle
34. Variables Used in the Study
Climate Variables
• Level change of Rainfall relative to past 20 year average
• Level change of Maximum and Minimum Temperature
relative to past 20 year average
• Climate type
Wealth Index
• Total Income
• Share of Agricultural Income
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