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Scaling-up CSA in
Malawi,
successes,
challenges,
opportunities
George Phiri
Project Technical Coordinator
FAO Malawi
1
Recent Climate Trends in Malawi
2
• Malawi particularly prone to adverse climate hazards: frequent and
prolonged dry spells, seasonal droughts, intense rainfall, riverine
floods, and flash floods.
• Droughts and floods increased in frequency, intensity, and
magnitude over the past 20 years.
• Significant increasing trends in the frequency of hot days and
nights in all seasons.
• Mean annual temperature is projected to increase by 1.1 to 3.0°C
by the 2060’s, and by 1.5 to 5.0°C by the 2090s.
• All models consistently project increases in the proportion of
rainfall that falls in heavy events in the annual average of up to 19%
by the 2090s.
Agriculture and Climate Change in Malawi
3
• Agriculture (which is mainly rain-fed) is central to Malawi’s
economy and livelihoods and will continue to be
fundamental for sustainable development in the country.
• In the last 5 years, agriculture has accounted for 35% of
GDP, 85% of the labour force and 83% of foreign exchange
earnings.
• Agriculture is the sector that will be most severely
impacted by climate change (NAPA).
• Over 50 percent of the population lives below the poverty
line and one in five people is chronically food insecure.
BACKGROUND AND RATIONALE
4
• Agriculture: key sector to address challenges of food
security under climate change (sink and source)
• Ag growth effective means of poverty reduction
• Projected CC impacts entail an urgent need for the
adaptation of the agriculture sector
• Mitigation can come through synergistic measures and be
an additional source of finance
CSA is an approach aimed at building agricultural development policies,
strategies and investments to increase food security with needed
adaptation, capturing financial benefits from potential mitigation co-
benefits
Policies, Efforts, Strategies
5
• Good awareness of the challenges posed
by climate change
 Inclusion of CC within key priority areas of
Malawi Growth Development Strategy
 Aswap
 NAPA
 On going discourse to develop National
Adaptation Plans, especially for the Ag sector
 On going discourse to formulate the National
Agriculture Policy
• CAADP
• NCCP IP
The CSA project aims building evidence-based agricultural
development strategies, policies and investment
frameworks to:
1. sustainably increase agricultural productivity and
incomes,
2. build resilience and the capacity of agricultural and food
systems to adapt to climate change, and
3. seek opportunities to reduce and remove GHGs
compatibly with their national food security and
development goals.
CSA PROJECT OVERVIEW
Approach of the CSA project in Malawi
7
is NOT about…
• Providing one-size-fits-all solutions for agricultural technology
or practice for the whole world, region, country or sub-national
level;
• Analyzing GHG emissions reductions potentials as a single
driver
It IS about…
• Providing a context-specific approach to agricultural development;
• Based on specific evidences and trends found in Malawi; and
• Based on the project methodology which makes a link between
research findings, policy making and capacity development
www.fao.org/climatechange/epic
Develop a policy environment
& agricultural investments to
improve food security and
provide resilience under
climate uncertainty
NEEDS RESEARCH COMPONENT
What are the barriers to adoption of CSA
practices?
Legal & Institutional Appraisal: mapping
institutional relationships and identifying
constraints
What are the synergies and tradeoffs
between food security, adaptation and
mitigation from agricultural practices?
POLICY SUPPORT
COMPONENT
Identifying where policy coordination at
the national level is needed and draw
recommendations on how to do it
Facilitating national participation/inputs
to climate and agriculture international
policy process
Project Framework
Evidence
Base
Strategic Framework
& Policy Advice
OUTPUTS
Investment proposals
Capacity
Building
8
What are the policy levers to facilitate
adoption and what will they cost?
What is special about the CSA Project?
Three aspects stand out:
• The approach taken brings together, in a coherent
framework, economics, institutional analysis, and policy
to understand barriers to the adoption of practices;
• Matches spatial climate data and household survey
data to examine how climate affects economic
decisions by households; and
• Analyses are structured to be useful in the development
of country-owned investment proposals, as well as
identifying and building mechanisms to link to
financing sources- both Climate Change and Agriculture
9
1. Evidence: Quantitative and qualitative analyses of primary and
secondary data at household and community level combined
with institutional and geo-referenced climate data to:
a) assess the situation on food security, adaptation and
potential mitigation;
b) Identify the best CSA options: through the CBA in 4 districts
(Balaka, Ntcheu, Kasungu and Mzimba) – 1,433 fields by 524
HH over 11 EPAs;
c) Understand barriers to CSA adoption using World Bank
LSMS-ISA data;
d) Risk management analysis – identification of risk reducing
tools; and
e) Identify enabling factors.
Activities 1/3: Creating a base of evidence
2. Project coordination unit/core team: keeping a dialogue with
members from MoAIWD, and other stakeholders such as NGOs,
university, civil society and FAO
3. Policy and institutional mapping: to better understand policy
formulation, linkages and potential gaps or
conflict/contradictions
4. Institutional data collection: to better understand influence of
institutions (i.e. cooperatives, access to credit, subsidies, land
tenure etc) in adopting CSA vs conventional agriculture.
5. Supporting country’s policy formulation through policy
dialogue and analysis
Activities 2/3: Policy component
6. Coordination between climate change and agricultural policy
(e.g. enhancing climate change and agricultural policy
alignment in support of CSA, Supporting capacity to link
international and national policy issues)
7. Capacity development:
• Supporting MSc students, a PhD student and mentoring
• Implement training activities to agricultural frontline staff
• Support policy makers’ participation to UNFCCC
negotiations
8. Collaboration with CCAFS: using scenarios to improve CSA
planning
9. Developing a strategic framework for investment in CSA in
Malawi
Activities 3/3: Capacity building and overarching
13
Some results
Adoption of potential CSA measures on all plots – in %
Adoption of Potential CSA Measures
Climatic variables, access to rural institutions and social capital play
an important role in adoption of most practices.
► There is no one strategy for supporting adoption – it depends
on which techniques are the focus.
► Exposures to climate variability and delayed onset increases
use of SLM measures, but reduces the use inorganic fertilizer.
► Collective action and institutions can be key in determining
which practices are selected
► Better tenure security increases the use of SLM strategies and
reduces inorganic fertilizer and improved seed.
Implications for targeting and overcoming barriers to adoption at
the household or systemic levels.
Summary of Findings on Adoption from LSMS
FROM CBA: SLM Adoption by AEZ and Technology
• Low diffusion of SLM in the sample (all crops): 84% Tillage systems
(conventional), only 16% MSD systems.
• Within the sample there is no significant difference in terms of SLM
adoption by Agro ecological zone (due to projects & sampling bias);
• Most farmers rely on conventional agriculture but test SLM
technologies on some fields [mainly on Maize: MSD =39%].
• High heterogeneity of SLM technology packages: experimenting
different combinations of SLM principles
02468
Percentage
SLM adoption - overall sample
CA CF
SWC Other
0
20406080
Cool dry Cool moist Cool wet
SLM adoption by AEZ
Till systems MSD systems
Maize Unit Till
Yield kg/ha 2,710 *** 1,637
Gross revenue USD/ha 872 *** 534
Gross margin (gross revenue - cash input costs) USD/ha 529 *** 296
Net income (gross margins - labor costs) USD/ha 274 *** 85
Labor productivity (yield/total labor) kg/day 34 *** 23
Total variable costs USD/ha 601 *** 446
T-test on the equality of means: *** p<0.01, ** p<0.05, * p<0.1
MSD
• MSD showed higher yields than conventional soil management.
Difference more significant in dry areas [yield effects disappear in
moist and humid areas once controlling for fertilizer inputs]
• MSD has higher variable costs than conventional soil
management.
• Within conventional soil management, applying agroforestry
and/or swc seems to provide improve yields
Economic Performance: MSD vs. Till
Key findings of CBA analysis
• MSD systems are more profitable for food crops (maize) than
conventional tillage systems..
• MSD is more profitable than conventional soil management in dry
areas.
• However, higher production costs of MSD technologies may
hinder diffusion among smallholders’ and impede adoption
• Comparatively, irrigation would allow farmers to grow high value
crops, which would be a much better option. However, irrigation
requires high investments, and is questionable for smallholders
with limited to markets for high value crops .
• SLM would therefore represent a good alternative option as it
requires fewer investments. However incentives to overcome the
obstacles to adoption are needed.
• Targeting matters: MSD systems are a profitable CSA
investment in drier areas with greater rainfall variability. In
such areas, farmers implementing MSD systems could have
higher incomes than under conventional systems (food
security and adaptation)
• Barriers to adoption: Higher production costs of MSD in
comparison with conventional systems may require
incentives at smallholders’ level.
• GHG mitigation benefits: In humid areas, with lower
benefits from SLM adoption, SLM can be coupled with
higher carbon sequestration coefficients for financing.
Implications for scaling up
Risk analysis: Climate is a determinant of
household vulnerability in Malawi
• Consumption per capita is lower in environments with greater
long term climate variability
• Higher long term mean rainfall is associated with higher per
capita consumption and lower vulnerability to poverty.
• The greater the deviation from long term mean rainfall pattern
experienced in the last season, the more consumption is
reduced and vulnerability to poverty increased.
• Other significant variables for reducing vulnerability are
higher household wealth, and access to institutions such as
extension, credit, fertilizer subsidies and social safety nets.
Key findings and implications from risk
► For extreme events: important to have policies & institutions to support
effective coordination and cooperation for adoption of SLM to increase
resilience
► For “Marginal” changes in climate: policy options need to be tailored to
agro-ecological conditions, and better information on changes in
climate variability is crucial in reducing losses through changes in
cropping decisions and SLM practices
► Policies and institutions play an important role in determining levels
diversification, and their outcome & costs depends on information
available to framers
► Income diversification opportunities should be prioritized, since it has
the strongest impacts on reducing vulnerability to poverty
• Among institutions, access to extension and fertilizer subsidies have
the strongest positive impacts on income diversification
• Investments into enabling actions to support CSA are needed.
• There are several activities planned under the Agriculture Sector Wide
Approach (ASWAp) that have high CSA potential.
• The second implementation phase of the ASWAp, as well as the launch
of the National Climate Change Investment Plan provides a good basis
for guiding investments. It is important to ensure their coordination.
• Re-orienting existing and planned agricultural finance, as well as
tapping climate financing sources including the GEF and Green Climate
Fund are 3 main strategies for financing up-scaled CSA in Malawi.
• MoAIWD is embarking on reform and refocussing of the main
components of agricultural development activities in Malawi. Linking
these reforms to CSA and climate finance offers an excellent
opportunity for effectively realizing these objectives.
Conclusions
Thank
you
www.fao.org/climatechange/epic

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Scaling-up CSA in Malawi, successes, challenges, opportunities

  • 1. Scaling-up CSA in Malawi, successes, challenges, opportunities George Phiri Project Technical Coordinator FAO Malawi 1
  • 2. Recent Climate Trends in Malawi 2 • Malawi particularly prone to adverse climate hazards: frequent and prolonged dry spells, seasonal droughts, intense rainfall, riverine floods, and flash floods. • Droughts and floods increased in frequency, intensity, and magnitude over the past 20 years. • Significant increasing trends in the frequency of hot days and nights in all seasons. • Mean annual temperature is projected to increase by 1.1 to 3.0°C by the 2060’s, and by 1.5 to 5.0°C by the 2090s. • All models consistently project increases in the proportion of rainfall that falls in heavy events in the annual average of up to 19% by the 2090s.
  • 3. Agriculture and Climate Change in Malawi 3 • Agriculture (which is mainly rain-fed) is central to Malawi’s economy and livelihoods and will continue to be fundamental for sustainable development in the country. • In the last 5 years, agriculture has accounted for 35% of GDP, 85% of the labour force and 83% of foreign exchange earnings. • Agriculture is the sector that will be most severely impacted by climate change (NAPA). • Over 50 percent of the population lives below the poverty line and one in five people is chronically food insecure.
  • 4. BACKGROUND AND RATIONALE 4 • Agriculture: key sector to address challenges of food security under climate change (sink and source) • Ag growth effective means of poverty reduction • Projected CC impacts entail an urgent need for the adaptation of the agriculture sector • Mitigation can come through synergistic measures and be an additional source of finance CSA is an approach aimed at building agricultural development policies, strategies and investments to increase food security with needed adaptation, capturing financial benefits from potential mitigation co- benefits
  • 5. Policies, Efforts, Strategies 5 • Good awareness of the challenges posed by climate change  Inclusion of CC within key priority areas of Malawi Growth Development Strategy  Aswap  NAPA  On going discourse to develop National Adaptation Plans, especially for the Ag sector  On going discourse to formulate the National Agriculture Policy • CAADP • NCCP IP
  • 6. The CSA project aims building evidence-based agricultural development strategies, policies and investment frameworks to: 1. sustainably increase agricultural productivity and incomes, 2. build resilience and the capacity of agricultural and food systems to adapt to climate change, and 3. seek opportunities to reduce and remove GHGs compatibly with their national food security and development goals. CSA PROJECT OVERVIEW
  • 7. Approach of the CSA project in Malawi 7 is NOT about… • Providing one-size-fits-all solutions for agricultural technology or practice for the whole world, region, country or sub-national level; • Analyzing GHG emissions reductions potentials as a single driver It IS about… • Providing a context-specific approach to agricultural development; • Based on specific evidences and trends found in Malawi; and • Based on the project methodology which makes a link between research findings, policy making and capacity development
  • 8. www.fao.org/climatechange/epic Develop a policy environment & agricultural investments to improve food security and provide resilience under climate uncertainty NEEDS RESEARCH COMPONENT What are the barriers to adoption of CSA practices? Legal & Institutional Appraisal: mapping institutional relationships and identifying constraints What are the synergies and tradeoffs between food security, adaptation and mitigation from agricultural practices? POLICY SUPPORT COMPONENT Identifying where policy coordination at the national level is needed and draw recommendations on how to do it Facilitating national participation/inputs to climate and agriculture international policy process Project Framework Evidence Base Strategic Framework & Policy Advice OUTPUTS Investment proposals Capacity Building 8 What are the policy levers to facilitate adoption and what will they cost?
  • 9. What is special about the CSA Project? Three aspects stand out: • The approach taken brings together, in a coherent framework, economics, institutional analysis, and policy to understand barriers to the adoption of practices; • Matches spatial climate data and household survey data to examine how climate affects economic decisions by households; and • Analyses are structured to be useful in the development of country-owned investment proposals, as well as identifying and building mechanisms to link to financing sources- both Climate Change and Agriculture 9
  • 10. 1. Evidence: Quantitative and qualitative analyses of primary and secondary data at household and community level combined with institutional and geo-referenced climate data to: a) assess the situation on food security, adaptation and potential mitigation; b) Identify the best CSA options: through the CBA in 4 districts (Balaka, Ntcheu, Kasungu and Mzimba) – 1,433 fields by 524 HH over 11 EPAs; c) Understand barriers to CSA adoption using World Bank LSMS-ISA data; d) Risk management analysis – identification of risk reducing tools; and e) Identify enabling factors. Activities 1/3: Creating a base of evidence
  • 11. 2. Project coordination unit/core team: keeping a dialogue with members from MoAIWD, and other stakeholders such as NGOs, university, civil society and FAO 3. Policy and institutional mapping: to better understand policy formulation, linkages and potential gaps or conflict/contradictions 4. Institutional data collection: to better understand influence of institutions (i.e. cooperatives, access to credit, subsidies, land tenure etc) in adopting CSA vs conventional agriculture. 5. Supporting country’s policy formulation through policy dialogue and analysis Activities 2/3: Policy component
  • 12. 6. Coordination between climate change and agricultural policy (e.g. enhancing climate change and agricultural policy alignment in support of CSA, Supporting capacity to link international and national policy issues) 7. Capacity development: • Supporting MSc students, a PhD student and mentoring • Implement training activities to agricultural frontline staff • Support policy makers’ participation to UNFCCC negotiations 8. Collaboration with CCAFS: using scenarios to improve CSA planning 9. Developing a strategic framework for investment in CSA in Malawi Activities 3/3: Capacity building and overarching
  • 14. Adoption of potential CSA measures on all plots – in % Adoption of Potential CSA Measures
  • 15. Climatic variables, access to rural institutions and social capital play an important role in adoption of most practices. ► There is no one strategy for supporting adoption – it depends on which techniques are the focus. ► Exposures to climate variability and delayed onset increases use of SLM measures, but reduces the use inorganic fertilizer. ► Collective action and institutions can be key in determining which practices are selected ► Better tenure security increases the use of SLM strategies and reduces inorganic fertilizer and improved seed. Implications for targeting and overcoming barriers to adoption at the household or systemic levels. Summary of Findings on Adoption from LSMS
  • 16. FROM CBA: SLM Adoption by AEZ and Technology • Low diffusion of SLM in the sample (all crops): 84% Tillage systems (conventional), only 16% MSD systems. • Within the sample there is no significant difference in terms of SLM adoption by Agro ecological zone (due to projects & sampling bias); • Most farmers rely on conventional agriculture but test SLM technologies on some fields [mainly on Maize: MSD =39%]. • High heterogeneity of SLM technology packages: experimenting different combinations of SLM principles 02468 Percentage SLM adoption - overall sample CA CF SWC Other 0 20406080 Cool dry Cool moist Cool wet SLM adoption by AEZ Till systems MSD systems
  • 17. Maize Unit Till Yield kg/ha 2,710 *** 1,637 Gross revenue USD/ha 872 *** 534 Gross margin (gross revenue - cash input costs) USD/ha 529 *** 296 Net income (gross margins - labor costs) USD/ha 274 *** 85 Labor productivity (yield/total labor) kg/day 34 *** 23 Total variable costs USD/ha 601 *** 446 T-test on the equality of means: *** p<0.01, ** p<0.05, * p<0.1 MSD • MSD showed higher yields than conventional soil management. Difference more significant in dry areas [yield effects disappear in moist and humid areas once controlling for fertilizer inputs] • MSD has higher variable costs than conventional soil management. • Within conventional soil management, applying agroforestry and/or swc seems to provide improve yields Economic Performance: MSD vs. Till
  • 18. Key findings of CBA analysis • MSD systems are more profitable for food crops (maize) than conventional tillage systems.. • MSD is more profitable than conventional soil management in dry areas. • However, higher production costs of MSD technologies may hinder diffusion among smallholders’ and impede adoption • Comparatively, irrigation would allow farmers to grow high value crops, which would be a much better option. However, irrigation requires high investments, and is questionable for smallholders with limited to markets for high value crops . • SLM would therefore represent a good alternative option as it requires fewer investments. However incentives to overcome the obstacles to adoption are needed.
  • 19. • Targeting matters: MSD systems are a profitable CSA investment in drier areas with greater rainfall variability. In such areas, farmers implementing MSD systems could have higher incomes than under conventional systems (food security and adaptation) • Barriers to adoption: Higher production costs of MSD in comparison with conventional systems may require incentives at smallholders’ level. • GHG mitigation benefits: In humid areas, with lower benefits from SLM adoption, SLM can be coupled with higher carbon sequestration coefficients for financing. Implications for scaling up
  • 20. Risk analysis: Climate is a determinant of household vulnerability in Malawi • Consumption per capita is lower in environments with greater long term climate variability • Higher long term mean rainfall is associated with higher per capita consumption and lower vulnerability to poverty. • The greater the deviation from long term mean rainfall pattern experienced in the last season, the more consumption is reduced and vulnerability to poverty increased. • Other significant variables for reducing vulnerability are higher household wealth, and access to institutions such as extension, credit, fertilizer subsidies and social safety nets.
  • 21. Key findings and implications from risk ► For extreme events: important to have policies & institutions to support effective coordination and cooperation for adoption of SLM to increase resilience ► For “Marginal” changes in climate: policy options need to be tailored to agro-ecological conditions, and better information on changes in climate variability is crucial in reducing losses through changes in cropping decisions and SLM practices ► Policies and institutions play an important role in determining levels diversification, and their outcome & costs depends on information available to framers ► Income diversification opportunities should be prioritized, since it has the strongest impacts on reducing vulnerability to poverty • Among institutions, access to extension and fertilizer subsidies have the strongest positive impacts on income diversification
  • 22. • Investments into enabling actions to support CSA are needed. • There are several activities planned under the Agriculture Sector Wide Approach (ASWAp) that have high CSA potential. • The second implementation phase of the ASWAp, as well as the launch of the National Climate Change Investment Plan provides a good basis for guiding investments. It is important to ensure their coordination. • Re-orienting existing and planned agricultural finance, as well as tapping climate financing sources including the GEF and Green Climate Fund are 3 main strategies for financing up-scaled CSA in Malawi. • MoAIWD is embarking on reform and refocussing of the main components of agricultural development activities in Malawi. Linking these reforms to CSA and climate finance offers an excellent opportunity for effectively realizing these objectives. Conclusions

Editor's Notes

  1. You all know what CSA is all about so no need to talk about it here
  2. You all know what CSA is all about so no need to talk about it here
  3. Given these premises and acknowledging progress within the political environment (next slide)
  4. You all know what CSA is all about so no need to talk about it here
  5. You all know what CSA is all about so no need to talk about it here
  6. Felt the need of linking research with policy and real stuff done in the field. What is real stuff in the field? Investments made and farmers switching from conventional  into CSA. In a resource based management approach we then back-casted and thought ok: what do you need to prepare an investment proposal well done and have policy makers and stakeholder buying in and really investing on things? We needed to find the really best bet options and convince policy makers and donors of those. But first we also needed to be convinced. How would we do that? Get stakeholders involved up-front and always engaged through dialogue and active participation. By providing solid and scientific evidence of which we wanted to be convinced ourselves.
  7. You all know what CSA is all about so no need to talk about it here
  8. The factors that drive adoption of any one of the practices analysed are distinct, thus Adoption of any one practice is conditioned by whether another practice has been adopted or not. Some practices are complementary others are substitutes Implications for understanding and overcoming barriers to selection for each practice, distinguishing structural aspects such as exposure from potential interventions at the household or systemic levels linked to adaptive capacity. The first finding is based on the analysis of various climate related effects over time and space for Malawi which indicated highly heterogeneous distribution of effects even within a relatively small country such as Malawi. These climate effects have important impacts on which practices are selected and ultimately on their yield benefits. Our results show that farmers in areas of higher mean rainfall and lower maximum temperatures tend to use more inorganic fertilizer, while those in areas of delayed onset of rainfall and higher maximum temperatures were more likely to have SLM practices. Climate risk clearly plays an important role in determining the practices selected. We find that greater climate variability as represented by the coefficient of variation of rainfall and temperature increases adoption of risk-reducing inputs such as SLM measures, but reduce the use of inputs (such as inorganic fertilizer) with riskier benefits under these conditions.
  9. probable effect of support projects/programs, and also bias of the stratified sampling procedure probably different messages have been conveyed
  10. It is important to note that lower, but more stable, consumption is consistent with households actively pursuing strategies to reduce risk, even if such strategies have a negative impact on mean consumption. Third bullet supports the notion that households cannot adequately cope with shocks in the current season. .
  11. Policies and programs aimed at expanding the delivery of credit in particular need to explicitly incorporate the risks farmers are facing in order to expand income diversification opportunities without destabilizing incomes. The empirical evidence summarized here, combined with the greater threats of increased occurrence of climate extremes, suggest that it is worth taking a serious look at how credit and insurance schemes can be more attractive to both farmers and offerors.
  12. You all know what CSA is all about so no need to talk about it here
  13. The geographical distribution of the climate impacts in Malawi measured by these variables over the period 1985-2012 As can be seen, there are significance differences in terms of rainfall variability across the three geographical regions in Malawi. Districts in the southern region generally have higher exposure to climate impacts relative to those in central and northern Malawi, with lower levels of mean rainfall,
  14. You all know what CSA is all about so no need to talk about it here. To identify practices that would be suitable for each context you need to look at these three pillars through engaging policy makers, farmers’union and other relevant stakeholders.