Día 1: Presentación corta: Livelihood analysis in context of sustainable transition. Por: D. Doerr et al

1. Livelihood analysis in context of sustainable transition
Annual SuSa Meeting in Cali, Colombia
Desirée Dörr, Prajal Pradhan, David Landholm, Wei Weng, Jürgen Kropp
March 2016

2. Introduction
• Four different pathways towards sustainable development:
hunger reduction, literacy for all, fresh-water availability and
greenhouse-gas stabilization [Parris & Kates 2013]
• Sustainable development is a concurrence of human and
environmental wellbeing and both are requirements [Prescott-Allen
2001]
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3. Introduction
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https://www.wmo.int/media/sites/default/files/Screen%20shot%202015-09-28%20at%203.00.07%20PM.png

4. Objectives
• Livelihood analysis on a global scale, a national scale, and
subnational scale in Peru and Colombia
• Draw development patterns between countries and regions
• Consideration of the global climate change
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5. Livelihood framework
• Selection of livelihood indicators:
• Concentration on basic human needs (water, food, health,
education) and based on
characteristics of human
wellbeing, defined by
[Max-Neef, 1992]
• Are all linked together and
their lack or appearance implies
inadequate human
living conditions
• Combination of some categories
to the categories „social“ and
„infrastructure“
• New category „environment“
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http://www.holocene.net/tns%20images/human%20needs%2050%25%20250%20dpi.JPG

6. Livelihood framework
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Subsistence
Infrastructure
Environment
Social
Livelihood
characteristics
Elements & Indicators
Water (Access to improved drinking water)
Food (Stunting prevalence children,
Food supply, Food deficit)
Sanitation (Access to improved sanitation)
Energy (Access to electricity)
Mobility (Road density)
Education (Primary completion rate, female & male)
Employment (Employment to population ratio, female
& male)
Poverty (Poverty headcount)
Outdoor air (Concentrations of PM10)
Health care (Life expectancy at birth)
Emissions (CO2 emissions per capita)

7. First analyses
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Our starting point for the livelihood analyses is the calculation of
correlations between the single indicators. It is necessary/good
for/as:
• An overview about the single indicators
• A better understanding of their interactions
• A statistical starting point and pre analyses for the cluster
calculations
• A method, which can be easily applied to all our different spatial
scales to guarantee the analougousness in methods and
calculations

8. Correlation matrix world
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Result examples:
• Strong positive correlation
between food supply and
life expectancy
• Strong negative correlation
between food deficit and
life expectancy
• Negative correlation
between poverty and
drinking water
access/energy access/
sanitation access
PL: Poverty headcount, IW: Improced drinking water, SP: Stunting prevalence children, FD: Food deficit, FS: Food supply,
PM10: Outdoor air concentration, IS: Improved sanitation, LE: Life expectancy at birth, AE: Access to electricity, PCRF: Primary
completion rate female, PCRM: Primary completion rate male, CO2cap: CO2 emissions per capita, EPRF: Employment to
population ratio female, EPRM: Employment to population ratio male

9. Next planned steps – global scale
Our next steps for the global/national scale are to:
• Expand the correlation analyses with other indicators (especially
social and environment parts)
• Proof of the non use of other indicators
• Start the cluster analyses within a few further steps like
transformations and adaptions of data
• Time series analyses
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10. Next planned steps – subnational scale
For our subnational scale in Colombia and Peru we want to apply
a similar approach like our colleague Sifat Rabbi is doing it for
her home country Bangladesh:
• Identification of subnational upper and lower boundaries of
livelihoods
• Identification of regions with adequate conditions due to the
boundaries and under consideration of all indicators
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11. Next planned steps – subnational scale
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Frequency distribution in the regions of Bangladesh, S. Rabbi Adequacy in the regions of Bangladesh, S. Rabbi

12. Collaboration with partners
A future collaboration with partners of the project in the
following aspects would be helpful and preferable:
• Feedback on the methods, calculations and results
• Support in getting the data on a subnational scale for Peru and
Colombia, if not included in the survey
• Cooperation with partner researchers with experiences in the
fields of Sustainable Development Goals, livelihood analyses
and transition pathways
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13. Thank you for your attention!
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