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emissions. However in other contexts, differences between recommended values
andrealachievementmightbemuchhigher. Insuchcases the level tobeaccounted
for the suppresseddemand shouldbe,whenever possible, the level achievedusing
the technology or practices introduced, as long as it doesn’t exceed the agreed
minimumservice level.
Linkingdifferences in services levels to greenhouse gases emissionmay repre-
sent the major challenge to include the suppressed demand in climate change
mitigation evaluations. This evaluation used a simple linear regressionmodel to
assess thesuppresseddemand.Withanimportantworkonthesampling, thesources
of variation have beenminimizedwhich allowed to achieve relatively good coef-
ficient of determination considering the simplicity of the model. But this model
suffer fromstrong limitations andvery lowexternal validity. In the future, consid-
ering the important limits of theOLS tomodel the indoor temperature, the devel-
opmentof context specificdynamic thermalmodels appears as a relevantoption to
accountfor thesuppresseddemand.However,housingconditionsareheterogenious
incharacteristics and therefore themodel shouldbeadaptable toawidenumberof
houses using parameters that could be easily collected. Alternatively, default
factors of energy consumption could be developed to assess the baseline emission
levels for different levels of indoor temperature.
Applying the suppressed demand also requires important data collection and
significantequipment in thecaseof temperaturemonitoring. In thePSHcasestudy,
the potential factors of variation between the houses are very important which
require averycarefull sampling.This study relyonan important household survey
aswellashighlytrainedsurveyors toassess thehousescharacteristicsandselect the
samples. In difficult contexts like Afghanistan undertaking long house intrusive
surveyscomeswithnumerouschallenges in termsof social acceptationandcost in
comparison of the budget for project implementation. To insure a high quality of
analysis, fuel consumption measurements had to be done 5 days a week during
8weeks. In theAfghancontext, the fact that amancannot enter in ahousewhena
woman is aloneand the security contextofKabulhave stronglyaffected the study.
This led tonumerousvisits to the samehousehold togatherdata and in somecases
can lead towithdrawing somehouses from the study.
Despitea limited immediateclimatechangemitigationpotential, the investment
in energy efficient housing is crutial to achieve a low-carbonpathwayand avoid a
critical carbon locking considering the time frame of housing investment. Future
researchshould focuson thedevelopmentof suppresseddemandmodels that could
be adaptable to different contexts. Emission default factors accounting for both
emission reductions andavoidedemissionscouldhelpdecision-makingonclimate
changemitigation policies by highlighting the significance of the emissions that
would result from long-term investments in carbon-intensive technologies. In
LDCs, successful climate change mitigation action requires to anticipate the
socio-economic development that will lead to investment in carbon-intensive
10 IntegratingAvoidedEmissions inClimateChangeEvaluationPolicies for. . . 185
Evaluating Climate Change Action for Sustainable Development
- Titel
- Evaluating Climate Change Action for Sustainable Development
- Autoren
- Juha I. Uitto
- Jyotsna Puri
- Rob D. van den Berg
- Verlag
- Springer Open
- Datum
- 2017
- Sprache
- deutsch
- Lizenz
- CC BY-NC 3.0
- ISBN
- 978-3-319-43702-6
- Abmessungen
- 15.5 x 24.1 cm
- Seiten
- 365
- Schlagwörter
- Climate Change, Sustainable Development, Climate Change/ Climate Change Impacts, Environmental Management
- Kategorien
- Naturwissenschaften Umwelt und Klima