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21
Year
23,
No.
21,
September
2021
A Nepalese Journal of Parʟcipatory Development
1
Price: Individual Rs. 100/-, Institutional Rs. 200/-
Year 23, No. 21, September 2021
Editorial Team
Editor-in-Chief
Anoj Chhetri, PhD
Editors
Anita Pandey Pant Chet Nath Kanel, PhD Scholar
Earl James Goodyear, PhD Jhabindra Bhandari, PhD
Prof. Narbikram Thapa, PhD Shreeram KC
Uttam Uprety, PhD Scholar
Reviewers
Anila Jha, PhD Badri Aryal, PhD Scholar
Ravi Dhital Janak Raj Pant
Narayan Gyawali, PhD Scholar Ram Chandra Khanal, PhD
Sampad Jamarkattel, PhD Scholar
Distrubution: Tej Bohara and Tulasi Sapkota
Press: Dreamworks Printers, Kathmandu, Nepal. Tel: 9851005177
ISSN: 2565-4853
Cover Photos: "
Top photo represents homestay development contributed by Ram Chandra Sedai, Mountain
Heritage. Other photos from the left respectively are related with the Participatory Action
Research contributed by Gopal Tamng; education policies contributed by Ram Gaire, Nepal
Coalition for Education.
Ā© Published by:
Nepal Participatory Action Network (NEPAN)
G. P. O. Box 13791, NEPAN Ghar
Dobhan Tole, Sahayogi Nagar, Janta Sadak, Koteshwor, Kathmandu-32, Nepal
Tel: 977-1-4154938
E-mail: nepan2021@gmail.com, Website: www.nepan.org.np
Facebook page: www.facebook.com/nepan
The views expressed on the PARTICIPATION are those of the author(s) and do not necessarily
represent NEPAN or its members or even of any organisations with which authors of this
volume of PARTICIPATION are associated with.
Peer Reviewed Journal
188 - 21 l September, 2021
Assessing Climate Resilience ā€“ A
Generic Evaluaʟon Framework
RAM CHANDRA KHANAL, PhD
Abstract
This article articulates that conventional evaluation approaches are no longer suitable
to address the complexities and uncertainties created by global climate change and its
interactions with other development interventions. Based on the literature review and
analytical approach undertaken in July 2021, the article discussed some challenges for
the evaluation of climate actions and proposed an evaluation framework embracing
a system thinking approach. It considers various aspects of climate resilience and its
assessment processes. It also provides generic guidelines for systematic data collection
and analysis that enables stakeholders to assess the contribution of climate actions in
strengthening resilience in a given circumstance.
Key Words: Climate Change, Evaluation, Paris Climate Agreement Resilience, and SDG
1. Introduction
The greatest danger for evaluators in times
of turbulence is not the turbulenceā€”it is
to act with yesterdayā€™s logic and criteria.
Michael Quinn Patton (2021)
Climate change has emerged as one of the
preeminent challenges facing humankind
in the twenty-first century. Impacts of
changing climate express themselves in
a multitude of ways including the severe
impact on the life and livelihoods of people
around the world. The climate change
effects are already visible and are expected
to be catastrophic globally unless they are
addressed immediately. It is disrupting
national economies now and is projected to
be affecting even more in the future (Uitto
et.al., 2017). Nepal is one of the countries
vulnerable to climate change. A study
carried out in Nepal showed that climate
change may produce a huge economic loss
(from 1.5 to 2% of annual GDP) by 2030
(IDS et al., 2014).
Over the years, Nepalā€™s development
strategies and policies have emphasized
addressing the challenge through the
implementationofadaptationandmitigation
measures to make its development actions
climate-resilient. It has also set its national
189
targets to contribute to international
commitments made through the Sustainable
Development Goals (SDGs) and the Paris
Agreement on climate change (NPC, 2016).
Sustainable Development Goal 13 (take
urgent action to combat climate change
and its impacts) is one of the 17 SDGs
established by the United Nations in 2015.
The Goal has 3 targets to be achieved by
2030 in Nepal and calls for urgent action to
combat climate change and its impacts. The
goal is intrinsically linked to all 16 of the
otherGoals.Inaddition,theParisAgreement
(2015)aimstostrengthentheglobalresponse
to the threat of climate change by keeping
a global temperature rise in this century to
well below 2 degrees Celsius compared to
pre-industrial levels. The agreement aims
to strengthen the ability of countries to
deal with the impacts of climate change,
through appropriate ļ¬nancial ļ¬‚ows, a new
technology framework, and an enhanced
capacity-building framework. The Paris
Agreement is an important milestone on
the road towards a zero-carbon, resilient,
prosperous, and fair future.
Assessing the effectiveness of climate
interventions targeted by SDG 13 and
the Paris Climate Agreement requires
systematic and comprehensive evaluation
frameworks that help governments and
other stakeholders to design and execute
evaluation in meaningful ways and
support transformation (Patton, 2021;
Uitto et.al., 2017). The ā€˜Agenda 2030ā€™
has also focused on the country-led
evidence-based evaluation. But, the current
approaches to evaluate climate actions
are far from adequate as the conventional
evaluation frameworks do not address the
current challenges, such as complexities,
knowledge gap, and other unknown
including temporal, spatial, and thematic
interconnectedness, posed by climate
change and other ongoing complex socio-
economic interactions (Uitto et.al., 2017;
Patton, 2021; Douxchamps et. al., 2017).
This article critically reviews various
documents, analyses ongoing challenges,
andassessespotentialevaluationapproaches
required to evaluate resilience. For this, the
author scanned relevant journal articles,
reports and other grey literature mainly
related to climate change, assessment of
resilience and evaluation. A review of
relevant theories such as general systems
theory, resilience theory was also carried
out. Based on the review, information was
categorized and analyzed based on the
themes of the study. Finally, a heuristic
modelforevaluatingresiliencewasprepared
based on the review as well as the authorā€™s
ownexperience.Thearticleisfocusedonthe
evaluation of climate resilience (SDG target
13.1) and provides a generic evaluation
framework that might be useful to adapt to
speciļ¬c circumstances and needs.
2. Evaluation of Climate Actions ā€“
Approaches and Challenges
Evaluation refers to the process of
determining the merit, worth and value of
something, or the product of that process
(Scriven, 1991). Program evaluation is the
systematic collection of information about
the activities, characteristics, and outcomes
of programs to make judgments about the
program, improve program effectiveness,
and/or inform decisions about future
programming (Patton, 1997).
The SDG 13 and the Paris Climate
Agreement include a set of ambitious
objectives by addressing problems that
have multiple causes and at various levels.
Assessing Climate Resilience ā€“ A Generic Evaluation Framework
190 - 21 l September, 2021
The Paris Agreement aims to strengthen
the global response to the threat of climate
change by ā€˜increasing the ability to adapt to
the adverse impacts of climate change and
foster climate resilience and low greenhouse
gasemissionsdevelopment,inamannerthat
does not threaten food production, among
others (Agreement, P. 2015).
Assessingtheeffectivenessoftheseambitions
requiresaparadigmshiftinthewaysocieties
operate until now. To align with this shift,
it also requires an innovative evaluation
framework that enables us to assess the
effectiveness of climate actions (policies,
plans, programs, and projects related to
adaptation, mitigation, and resilience);
and provides learning to comprehend the
challenges and guides stakeholders to
find better and transformative solutions
considering the specific circumstances.
Besides,thisshouldalsoprovideopportunities
to stakeholders to innovate different
approaches including methods and organize
effectivelytoenhancewin-winsituationsand
reducepotentialtrade-offsofvariousclimate
actions (Patton, 2021, UNFCCC, 2019; and
William et. al., 2021).
But the evaluation of climate actions is
full of challenges. Some of the challenges
include i) climate change is a global
goal(so difļ¬cult to ļ¬nd who is responsible
to what extent); ii) climate actions are
frequently multi-sector, multi-objective,
multi-tiers complex programs that aim to
affect not just the environment but also
poverty, livelihoods, health, income, and
food security); iii) climate actions aim
(such as transformational objectives) to
affect not just immediate outcomes but
outcomes over generations; iv) inadequate
data and capacity related to climate
change risk and impacts; v) inadequate
innovative and proven approaches to
address the complexities brought by
climate change (Patton, 2021; Uitto et al.,
2017). In addition, vi) there is no clarity
on how climate change risk unfolds in
the future and how and to what extent
impact manifest itself as the impact are
highly context-speciļ¬c; and vii) there is
a lack of universally agreed deļ¬nitions
of various climate-related terms (such
as resilience, adaptive capacity) and
assessment protocols (i.e. indicators).
All these challenges make the intervention
environment extremely fluid, complex
and context-specific. The conventional
development evaluation approach is,
therefore, no more suitable to address
these complex situations. A new
approach is, therefore, required with an
evaluation framework that is sufļ¬ciently
comprehensive and responsive. A system
theory approach would be a foundation to
start work on this that may lead to serving
the evaluation objective while remaining
simple and manageable by the stakeholders.
2.1 Resilience and Systems Theory
There is no consensus on the deļ¬nition
of resilience. According to the
Intergovernmental Panel on Climate
Change (IPCC), resilience is defined
as the ā€˜ability of a system and its parts
to anticipate, absorb, accommodate, or
recover from the effects of a hazardous
event in a timely and efļ¬cient mannerā€™
(IPCC, 2012). The resilience derives
from three critical capacities: absorptive
(the amount of change that a system can
undergo while still retaining its function
and structure), adaptive (the amount of
learning, combining experiences and
knowledge, and adjustments to external
drivers), and transformative (the creation
191
Assessing Climate Resilience ā€“ A Generic Evaluation Framework
of a new system when the initial state
is not bearable anymore) (Folke et al.,
2010, Folke 2016, Khanal and Pradhan,
2021). The resilience of a system results
therefore from the interactions (trade-offs
and synergies) between these three features
(capacities), as well as from the degree
to which the system is capable of self-
organization (BƩnƩ et al., 2014).
Inadequate clarity on the definition of
resilience and its construct makes it
difļ¬cult to know what it is and how it has
to be measured. Theoretical deļ¬nitions and
frameworks on resilience assessment do
not provide easy ways to assess resilience
for some reasons. Current quantiļ¬cation
attempts while assessing resilience are
mostly limited to the household level.
There is no adequate straightforward work
carried out to link with the individual,
sector, and national levels. In addition, it
is difļ¬cult to measure adaptive capacity as
it has cognitive, cultural, social, political,
and financial components attached to
it. Similarly, there are other issues i. e.
vulnerabilities and future resilience that
limit the ability to measure resilience.
Measuring resilience needs to embrace
complex adaptive systems and their
components in a dynamic way (Khanal
and Pradhan, 2021, Khanal, 2017). This
complicates the choice of indicators.
Climate is a complex system with
variations, causes, and effects. It integrates
many scientific fields to explain and
predict the complex effects of greenhouse
gas, energy balance, weather patterns,
and ecosystems as well as economic and
social systems. The climate responses
(adaptation and mitigation) have synergies
and trade-offs with unintended effects at
various temporal and spatial scales. All
these themes with multiple objectives at
different tiers of management are part of
the climate actions management; hence
assessment of resilience. Considering these
interconnections and associated challenges,
a system theory approach integrating spatial
and temporal scales, agents, institutions,
and ecosystems is required to understand
and assess climate resilience.
The attempts made so far to assess climate
risk and improve climate resilience are
found mostly unidirectional and do
not adequately consider the dynamic
complexity of emergent properties of
the complex socio-technical systems.
Recognizing the nature of complexities,
it requires general system theory which
helps to understand the circumstances and
identify some plausible solutions. The
system theory has six important features
and they are i) holisticā€”whereby, emergent
issues that cannot be quantitatively resolved
are explored to reveal salient linkages; ii)
systematicā€”employs a methodological,
consistent, and repeatable approach; iii)
systemicā€”considers decision-making as
an emergent system where small things
integrate into complete wholes; iv) risk-
basedā€”sets priorities to identify risks
associated with the domain being explored;
v) optimalā€”determines trade-offs between
competing factors such as quality of the
knowledge produced, time, and costs
associated with the learning processes; and
vi) sustainableā€”considers speciļ¬c actions
which are capable of creating a lasting
footprint of networks and best practices
and reveals possible up-scalable activities
(Mkandawire et.al., 2021). With these
attributes, the system theory or approach
can help in solving challenges related to
assessing climate resilience.
192 - 21 l September, 2021
2.1.1 Climate Resilience in Nepalā€™s SDG 13
The SDG 13 in Nepal aims at (i)
strengthening resilience and adaptive
capacity to climate-related hazards
and natural disasters, (ii) integrating
climate change measures into national
policies, strategies, and planning, and (iii)
improving education, awareness-raising,
and human and institutional capacity on
climate change mitigation, adaptation,
impact reduction, and early warning, among
others (NPC, 2016).This article has focused
on the resilience theme of the ļ¬rst target.
The review noted that the list of indicators,
such as Green House Gas (GHG) emission
from agriculture, transport, industries)
provides a narrow focus on quantitative
indicators and no appropriate and adequate
indicators are provided to assess how the
climate actions strengthen resilience at the
individual, institutional and systems level.
3. Evaluation Framework
An evaluation framework provides a
structure and process of systematically
collecting data/information by using a
variety of methods and sources that can be
used to assess progress and learn from the
interventions and support decision making
process based on the evidence collected
through the framework.
Therearenotheoriesthatsolveallproblems.
In this case, the general system approach
can be inclusive and appropriate as it
would help in managing ongoing climate
challenges through enhanced understanding
of socio-ecological interdisciplinary
structures & interrelationships and system
dynamics and collaborative works among
the key actors (Mkandawire et.al., 2021).
Given the challenges brought by the
climate change and complex interactions
within the socio-ecological systems, there
are some frameworks available (Contas
et.al., 2014, Douxchamps et. Al., 2017)
on resilience-based evaluation but they
are not adequate to address the dynamic
nature of the complexities. Considering
these frameworks and the system theory
approach, the proposed framework
integrated other important aspects which
are critical to for assessing resilience.
They include, for example, development of
theory of change at the outset, assessment
of ongoing socio-ecological systems,
emergence, and development trajectories
recognizing the multi-dimensional, multi-
directional, multi-tier and non-linear nature
of resilience and provides a process to
assess the resilience under changing socio-
ecological systems.
Figure 1: Climate Resilience Evaluation Framework
Source: Adapted from various sources including Contas et.al., 2014, Douxchamps et. Al., 2017.
193
The evaluation framework has seven
important components. They include;
i) identiļ¬cation of interventions zones
(domains,boundaries,spatial&temporal
scales, and agents), ii) developing a
theory of change and review of the
theory of change; iii) capturing states
assets, use of assets, institutions, and
capacity; iv) assessing emergence and
development trajectory (to see the
interaction of transformational actions
with the development trajectories); v)
assessing the status of climate shocks
and stresses and stability (during the
implementation time); vi) monitoring
ongoing socio-ecological systems and
dynamics, and vii) proposing a mixed-
methods approach of data collection
and analysis (figure 1). Based on
the nature of climate change and its
risk, qualitative methods may include
process tracing, pattern matching,
sense-making, inductive reasoning
by using participatory tools such
as key informant interviews, focus
group discussions, change mapping,
stakeholder analysis, rubric and
spinning wheel analysis whereas
quantitative methods may employ
household survey, multi-dimensional
index, and multi-stage factor analyses.
4. Conclusion
The climate change has a serious impact
on the environment and sustainable
development; hence it is considered
one of the biggest challenges in the
21st
century. International communities
devised development strategies and
mechanisms, such as the SDGs and the
Paris Climate Agreement, to address
climate risk both now and in the future.
But with the rapidly changing climate
and other socio-ecological factors,
there is a need to have a comprehensive
evaluation framework to assess whether
the climate investment is demonstrating
theresultsinthewaytheyweredesigned
and what contribution the interventions
are making in strengthening climate
resilience. It requires a new systems-
thinking approach in evaluation to
capture the issue of complexities,
interconnectedness, and transformation.
Forthis,agenericevaluationframework
has been suggested to assess the climate
resilience by considering various
aspects of resilience and how it can be
assessed. The framework considers the
local context and multi-dimensional
nature of resilience that can be used in
different contexts with some adaptation.
References
Agreement, P. (2015, December). Paris agreement. In Report of the Conference of the Parties to the United
Nations Framework Convention on Climate Change (21st Session, 2015: Paris). Retrieved December (Vol.
4, p. 2017).
BƩnƩ, C., Newsham, A., & Davies, M. (2008). Review article: resilience, poverty and development. Annu
Conf Hum Dev Capab Assoc New Delhi 623: 1ā€“30.
Constas, M., Frankenberger, T. &Hoddinott, J. 2014. Resilience Measurement Principles: Toward anAgenda
for Measurement Design. Resilience measurement Technical Working Group. Technical Series No. 1.
Rome: Food Security Information Network, World Food Program and Food andAgriculture Organization.
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Douxchamps, S., Debevec, L., Giordano, M., & Barron, J. (2017). Monitoring and evaluation of climate
resilience for agricultural developmentā€“A review of currently available tools. World Development
Perspectives, 5, 10-23.
Folke, C. (2016). Resilience (Republished). Ecology and Society 21(4):44. https://doi.org/10.5751/
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Folke, C., Carpenter, S., Walker, B., Scheffer, M., Chapin, T., &Rockstrƶm, J. (2010). Resilience thinking:
Integrating resilience. Adaptability and transformability. Ecology and Society, 15, 20.
IDS-Nepal, PAC and GCAP (2014). Economic Impact Assessment of Climate Change in Key Sectors in
Nepal. IDS-Nepal, Kathmandu, Nepal.
IPCC (2012). Managing the risks of extreme events and disasters to advance climate change adaptation. In
C. B. Field, V. Barros, T. F. Stocker, D. Qin, D. J. Dokken, K. L. Ebi, M. D. Mastrandrea, K. J. Mach,
G.-K. Plattner, S. K. Allen, M. Tignor, & P. M. Midgley (Eds.), A special report of working groups I
and II of the intergovernmental panel on climate change. Cambridge, UK: Cambridge University Press.
Khanal, R. C. & Pradhan, P. (2021). Approach Towards Building Climate Resilient Irrigation Systems for
Food Security in Nepal. In V. P. Pandey, S. Shrestha & D. Wiberg (Eds.), Water, Climate Change, and
Sustainability, US: John Wiley & Sons, Inc. 2021. p 225-238.
Khanal, R.C. (2017). Integrating Resilience Concept in the face of Changing Climate: Learning from Some
NRM Projects in Nepal. In N. M. Josh, S. Subedee& D. R. Pandey (Eds.), Irrigation in LocalAdaptation
and Resilience" Proceedings of the Seventh International Seminar Held on 11-12April 2017, Kathmandu,
Nepal.
Mkandawire, B., Thole, B., Mamiwa, D., Mlowa, T., McClure,A., Kavonic, J., & Jack, C. (2021).Application
of Systems-Approach in Modelling Complex City-Scale Transdisciplinary Knowledge Co-Production
Process and Learning Patterns for Climate Resilience. Systems, 9(1), 7.
NPC(2016). Nepal SDG Status and Roadmap. Kathmandu: GoN-National Planning Commission.
Parry ML, Canziani OF, Palutikof JP, van der Linden PJ and Hanson CE (eds). 2007. Impacts,Adaptation, and
Vulnerability. Contribution ofWorking Group II to the FourthAssessment Report of the Intergovernmental
Panel on Climate Change. Cambridge: Cambridge University Press.
Patton, M. Q. (1997). Utilization-focused evaluation: The new century text. SAGE Publications.
Roychoudhury, A., Shepardson, D. P., Hirsch, A., Niyogi, D., Mehta, J., & Top, S. (2017). The Need to
Introduce System Thinking in Teaching Climate Change. Science Educator, 25(2), 73-81.
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Williams,A., Dickman, J., &Smurthwaite, R. (2021).Advancing Evaluation and Learning onTransformational
Change: Lessons From the Climate Investment Fundsā€™ Transformational Change Learning
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(Dr. Ram Chandra Khanal is an independent evaluator ā€“ associated with the Community of Evaluators [Nepal
and South Asia]. Email: khanalrc@gmail.com.)
Assessing Climate Resilience ā€“ A Generic Evaluation Framework

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Assessing Climate Resilience - A Generic Evaluation Framework

  • 2.
  • 3. 1 Price: Individual Rs. 100/-, Institutional Rs. 200/- Year 23, No. 21, September 2021 Editorial Team Editor-in-Chief Anoj Chhetri, PhD Editors Anita Pandey Pant Chet Nath Kanel, PhD Scholar Earl James Goodyear, PhD Jhabindra Bhandari, PhD Prof. Narbikram Thapa, PhD Shreeram KC Uttam Uprety, PhD Scholar Reviewers Anila Jha, PhD Badri Aryal, PhD Scholar Ravi Dhital Janak Raj Pant Narayan Gyawali, PhD Scholar Ram Chandra Khanal, PhD Sampad Jamarkattel, PhD Scholar Distrubution: Tej Bohara and Tulasi Sapkota Press: Dreamworks Printers, Kathmandu, Nepal. Tel: 9851005177 ISSN: 2565-4853 Cover Photos: " Top photo represents homestay development contributed by Ram Chandra Sedai, Mountain Heritage. Other photos from the left respectively are related with the Participatory Action Research contributed by Gopal Tamng; education policies contributed by Ram Gaire, Nepal Coalition for Education. Ā© Published by: Nepal Participatory Action Network (NEPAN) G. P. O. Box 13791, NEPAN Ghar Dobhan Tole, Sahayogi Nagar, Janta Sadak, Koteshwor, Kathmandu-32, Nepal Tel: 977-1-4154938 E-mail: nepan2021@gmail.com, Website: www.nepan.org.np Facebook page: www.facebook.com/nepan The views expressed on the PARTICIPATION are those of the author(s) and do not necessarily represent NEPAN or its members or even of any organisations with which authors of this volume of PARTICIPATION are associated with. Peer Reviewed Journal
  • 4. 188 - 21 l September, 2021 Assessing Climate Resilience ā€“ A Generic Evaluaʟon Framework RAM CHANDRA KHANAL, PhD Abstract This article articulates that conventional evaluation approaches are no longer suitable to address the complexities and uncertainties created by global climate change and its interactions with other development interventions. Based on the literature review and analytical approach undertaken in July 2021, the article discussed some challenges for the evaluation of climate actions and proposed an evaluation framework embracing a system thinking approach. It considers various aspects of climate resilience and its assessment processes. It also provides generic guidelines for systematic data collection and analysis that enables stakeholders to assess the contribution of climate actions in strengthening resilience in a given circumstance. Key Words: Climate Change, Evaluation, Paris Climate Agreement Resilience, and SDG 1. Introduction The greatest danger for evaluators in times of turbulence is not the turbulenceā€”it is to act with yesterdayā€™s logic and criteria. Michael Quinn Patton (2021) Climate change has emerged as one of the preeminent challenges facing humankind in the twenty-first century. Impacts of changing climate express themselves in a multitude of ways including the severe impact on the life and livelihoods of people around the world. The climate change effects are already visible and are expected to be catastrophic globally unless they are addressed immediately. It is disrupting national economies now and is projected to be affecting even more in the future (Uitto et.al., 2017). Nepal is one of the countries vulnerable to climate change. A study carried out in Nepal showed that climate change may produce a huge economic loss (from 1.5 to 2% of annual GDP) by 2030 (IDS et al., 2014). Over the years, Nepalā€™s development strategies and policies have emphasized addressing the challenge through the implementationofadaptationandmitigation measures to make its development actions climate-resilient. It has also set its national
  • 5. 189 targets to contribute to international commitments made through the Sustainable Development Goals (SDGs) and the Paris Agreement on climate change (NPC, 2016). Sustainable Development Goal 13 (take urgent action to combat climate change and its impacts) is one of the 17 SDGs established by the United Nations in 2015. The Goal has 3 targets to be achieved by 2030 in Nepal and calls for urgent action to combat climate change and its impacts. The goal is intrinsically linked to all 16 of the otherGoals.Inaddition,theParisAgreement (2015)aimstostrengthentheglobalresponse to the threat of climate change by keeping a global temperature rise in this century to well below 2 degrees Celsius compared to pre-industrial levels. The agreement aims to strengthen the ability of countries to deal with the impacts of climate change, through appropriate ļ¬nancial ļ¬‚ows, a new technology framework, and an enhanced capacity-building framework. The Paris Agreement is an important milestone on the road towards a zero-carbon, resilient, prosperous, and fair future. Assessing the effectiveness of climate interventions targeted by SDG 13 and the Paris Climate Agreement requires systematic and comprehensive evaluation frameworks that help governments and other stakeholders to design and execute evaluation in meaningful ways and support transformation (Patton, 2021; Uitto et.al., 2017). The ā€˜Agenda 2030ā€™ has also focused on the country-led evidence-based evaluation. But, the current approaches to evaluate climate actions are far from adequate as the conventional evaluation frameworks do not address the current challenges, such as complexities, knowledge gap, and other unknown including temporal, spatial, and thematic interconnectedness, posed by climate change and other ongoing complex socio- economic interactions (Uitto et.al., 2017; Patton, 2021; Douxchamps et. al., 2017). This article critically reviews various documents, analyses ongoing challenges, andassessespotentialevaluationapproaches required to evaluate resilience. For this, the author scanned relevant journal articles, reports and other grey literature mainly related to climate change, assessment of resilience and evaluation. A review of relevant theories such as general systems theory, resilience theory was also carried out. Based on the review, information was categorized and analyzed based on the themes of the study. Finally, a heuristic modelforevaluatingresiliencewasprepared based on the review as well as the authorā€™s ownexperience.Thearticleisfocusedonthe evaluation of climate resilience (SDG target 13.1) and provides a generic evaluation framework that might be useful to adapt to speciļ¬c circumstances and needs. 2. Evaluation of Climate Actions ā€“ Approaches and Challenges Evaluation refers to the process of determining the merit, worth and value of something, or the product of that process (Scriven, 1991). Program evaluation is the systematic collection of information about the activities, characteristics, and outcomes of programs to make judgments about the program, improve program effectiveness, and/or inform decisions about future programming (Patton, 1997). The SDG 13 and the Paris Climate Agreement include a set of ambitious objectives by addressing problems that have multiple causes and at various levels. Assessing Climate Resilience ā€“ A Generic Evaluation Framework
  • 6. 190 - 21 l September, 2021 The Paris Agreement aims to strengthen the global response to the threat of climate change by ā€˜increasing the ability to adapt to the adverse impacts of climate change and foster climate resilience and low greenhouse gasemissionsdevelopment,inamannerthat does not threaten food production, among others (Agreement, P. 2015). Assessingtheeffectivenessoftheseambitions requiresaparadigmshiftinthewaysocieties operate until now. To align with this shift, it also requires an innovative evaluation framework that enables us to assess the effectiveness of climate actions (policies, plans, programs, and projects related to adaptation, mitigation, and resilience); and provides learning to comprehend the challenges and guides stakeholders to find better and transformative solutions considering the specific circumstances. Besides,thisshouldalsoprovideopportunities to stakeholders to innovate different approaches including methods and organize effectivelytoenhancewin-winsituationsand reducepotentialtrade-offsofvariousclimate actions (Patton, 2021, UNFCCC, 2019; and William et. al., 2021). But the evaluation of climate actions is full of challenges. Some of the challenges include i) climate change is a global goal(so difļ¬cult to ļ¬nd who is responsible to what extent); ii) climate actions are frequently multi-sector, multi-objective, multi-tiers complex programs that aim to affect not just the environment but also poverty, livelihoods, health, income, and food security); iii) climate actions aim (such as transformational objectives) to affect not just immediate outcomes but outcomes over generations; iv) inadequate data and capacity related to climate change risk and impacts; v) inadequate innovative and proven approaches to address the complexities brought by climate change (Patton, 2021; Uitto et al., 2017). In addition, vi) there is no clarity on how climate change risk unfolds in the future and how and to what extent impact manifest itself as the impact are highly context-speciļ¬c; and vii) there is a lack of universally agreed deļ¬nitions of various climate-related terms (such as resilience, adaptive capacity) and assessment protocols (i.e. indicators). All these challenges make the intervention environment extremely fluid, complex and context-specific. The conventional development evaluation approach is, therefore, no more suitable to address these complex situations. A new approach is, therefore, required with an evaluation framework that is sufļ¬ciently comprehensive and responsive. A system theory approach would be a foundation to start work on this that may lead to serving the evaluation objective while remaining simple and manageable by the stakeholders. 2.1 Resilience and Systems Theory There is no consensus on the deļ¬nition of resilience. According to the Intergovernmental Panel on Climate Change (IPCC), resilience is defined as the ā€˜ability of a system and its parts to anticipate, absorb, accommodate, or recover from the effects of a hazardous event in a timely and efļ¬cient mannerā€™ (IPCC, 2012). The resilience derives from three critical capacities: absorptive (the amount of change that a system can undergo while still retaining its function and structure), adaptive (the amount of learning, combining experiences and knowledge, and adjustments to external drivers), and transformative (the creation
  • 7. 191 Assessing Climate Resilience ā€“ A Generic Evaluation Framework of a new system when the initial state is not bearable anymore) (Folke et al., 2010, Folke 2016, Khanal and Pradhan, 2021). The resilience of a system results therefore from the interactions (trade-offs and synergies) between these three features (capacities), as well as from the degree to which the system is capable of self- organization (BĆ©nĆ© et al., 2014). Inadequate clarity on the definition of resilience and its construct makes it difļ¬cult to know what it is and how it has to be measured. Theoretical deļ¬nitions and frameworks on resilience assessment do not provide easy ways to assess resilience for some reasons. Current quantiļ¬cation attempts while assessing resilience are mostly limited to the household level. There is no adequate straightforward work carried out to link with the individual, sector, and national levels. In addition, it is difļ¬cult to measure adaptive capacity as it has cognitive, cultural, social, political, and financial components attached to it. Similarly, there are other issues i. e. vulnerabilities and future resilience that limit the ability to measure resilience. Measuring resilience needs to embrace complex adaptive systems and their components in a dynamic way (Khanal and Pradhan, 2021, Khanal, 2017). This complicates the choice of indicators. Climate is a complex system with variations, causes, and effects. It integrates many scientific fields to explain and predict the complex effects of greenhouse gas, energy balance, weather patterns, and ecosystems as well as economic and social systems. The climate responses (adaptation and mitigation) have synergies and trade-offs with unintended effects at various temporal and spatial scales. All these themes with multiple objectives at different tiers of management are part of the climate actions management; hence assessment of resilience. Considering these interconnections and associated challenges, a system theory approach integrating spatial and temporal scales, agents, institutions, and ecosystems is required to understand and assess climate resilience. The attempts made so far to assess climate risk and improve climate resilience are found mostly unidirectional and do not adequately consider the dynamic complexity of emergent properties of the complex socio-technical systems. Recognizing the nature of complexities, it requires general system theory which helps to understand the circumstances and identify some plausible solutions. The system theory has six important features and they are i) holisticā€”whereby, emergent issues that cannot be quantitatively resolved are explored to reveal salient linkages; ii) systematicā€”employs a methodological, consistent, and repeatable approach; iii) systemicā€”considers decision-making as an emergent system where small things integrate into complete wholes; iv) risk- basedā€”sets priorities to identify risks associated with the domain being explored; v) optimalā€”determines trade-offs between competing factors such as quality of the knowledge produced, time, and costs associated with the learning processes; and vi) sustainableā€”considers speciļ¬c actions which are capable of creating a lasting footprint of networks and best practices and reveals possible up-scalable activities (Mkandawire et.al., 2021). With these attributes, the system theory or approach can help in solving challenges related to assessing climate resilience.
  • 8. 192 - 21 l September, 2021 2.1.1 Climate Resilience in Nepalā€™s SDG 13 The SDG 13 in Nepal aims at (i) strengthening resilience and adaptive capacity to climate-related hazards and natural disasters, (ii) integrating climate change measures into national policies, strategies, and planning, and (iii) improving education, awareness-raising, and human and institutional capacity on climate change mitigation, adaptation, impact reduction, and early warning, among others (NPC, 2016).This article has focused on the resilience theme of the ļ¬rst target. The review noted that the list of indicators, such as Green House Gas (GHG) emission from agriculture, transport, industries) provides a narrow focus on quantitative indicators and no appropriate and adequate indicators are provided to assess how the climate actions strengthen resilience at the individual, institutional and systems level. 3. Evaluation Framework An evaluation framework provides a structure and process of systematically collecting data/information by using a variety of methods and sources that can be used to assess progress and learn from the interventions and support decision making process based on the evidence collected through the framework. Therearenotheoriesthatsolveallproblems. In this case, the general system approach can be inclusive and appropriate as it would help in managing ongoing climate challenges through enhanced understanding of socio-ecological interdisciplinary structures & interrelationships and system dynamics and collaborative works among the key actors (Mkandawire et.al., 2021). Given the challenges brought by the climate change and complex interactions within the socio-ecological systems, there are some frameworks available (Contas et.al., 2014, Douxchamps et. Al., 2017) on resilience-based evaluation but they are not adequate to address the dynamic nature of the complexities. Considering these frameworks and the system theory approach, the proposed framework integrated other important aspects which are critical to for assessing resilience. They include, for example, development of theory of change at the outset, assessment of ongoing socio-ecological systems, emergence, and development trajectories recognizing the multi-dimensional, multi- directional, multi-tier and non-linear nature of resilience and provides a process to assess the resilience under changing socio- ecological systems. Figure 1: Climate Resilience Evaluation Framework Source: Adapted from various sources including Contas et.al., 2014, Douxchamps et. Al., 2017.
  • 9. 193 The evaluation framework has seven important components. They include; i) identiļ¬cation of interventions zones (domains,boundaries,spatial&temporal scales, and agents), ii) developing a theory of change and review of the theory of change; iii) capturing states assets, use of assets, institutions, and capacity; iv) assessing emergence and development trajectory (to see the interaction of transformational actions with the development trajectories); v) assessing the status of climate shocks and stresses and stability (during the implementation time); vi) monitoring ongoing socio-ecological systems and dynamics, and vii) proposing a mixed- methods approach of data collection and analysis (figure 1). Based on the nature of climate change and its risk, qualitative methods may include process tracing, pattern matching, sense-making, inductive reasoning by using participatory tools such as key informant interviews, focus group discussions, change mapping, stakeholder analysis, rubric and spinning wheel analysis whereas quantitative methods may employ household survey, multi-dimensional index, and multi-stage factor analyses. 4. Conclusion The climate change has a serious impact on the environment and sustainable development; hence it is considered one of the biggest challenges in the 21st century. International communities devised development strategies and mechanisms, such as the SDGs and the Paris Climate Agreement, to address climate risk both now and in the future. But with the rapidly changing climate and other socio-ecological factors, there is a need to have a comprehensive evaluation framework to assess whether the climate investment is demonstrating theresultsinthewaytheyweredesigned and what contribution the interventions are making in strengthening climate resilience. It requires a new systems- thinking approach in evaluation to capture the issue of complexities, interconnectedness, and transformation. Forthis,agenericevaluationframework has been suggested to assess the climate resilience by considering various aspects of resilience and how it can be assessed. The framework considers the local context and multi-dimensional nature of resilience that can be used in different contexts with some adaptation. References Agreement, P. (2015, December). Paris agreement. In Report of the Conference of the Parties to the United Nations Framework Convention on Climate Change (21st Session, 2015: Paris). Retrieved December (Vol. 4, p. 2017). BĆ©nĆ©, C., Newsham, A., & Davies, M. (2008). Review article: resilience, poverty and development. Annu Conf Hum Dev Capab Assoc New Delhi 623: 1ā€“30. Constas, M., Frankenberger, T. &Hoddinott, J. 2014. Resilience Measurement Principles: Toward anAgenda for Measurement Design. Resilience measurement Technical Working Group. Technical Series No. 1. Rome: Food Security Information Network, World Food Program and Food andAgriculture Organization. Assessing Climate Resilience ā€“ A Generic Evaluation Framework
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