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Managing risks and avoiding pitfalls to REDD+ policy design and benefit sharing
1. BLF LBG LSA LSE LWH SO
Leibniz Centre for Agricultural Landscape Research (ZALF)
LAND USE AND IMPACTS LAND USE CONFLICTS AND GOVERNANCELANDSCAPE FUNCTIONING
SO
Managing risks and avoiding pitfalls to REDD+ policy
design and benefit sharing
L. Loft, T.T. Pham, G.Y. Wong, M. Brockhaus, D.N. Le, S.N. Tjajadi, C. Luttrell
Marrakech, November 9, 2016
LAND USE CONFLICTS AND GOVERNANCE
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Introduction
Source: Adapted from Wertz-Kanounnikoff & Angelsen 2009
Occur at different governance levels
Affect different stakeholders within
national REDD+ architectures
During different stages of the
implementation process
Aim is to is to identify, assess and
categorize major governance risks of
national REDD+ implementation
Subnationalactivities
Incentives
Performance based
payments (e.g. PES)
Monitoring, Reporting
Institutions
Forest management types
State(production)
State(conservation)
Private
Community
Carbon rights holder
Land owner
Concession holder
Government agencies
Community
Other stakeholders
Energyusers
Ecosystemservices users
Farmers
Consumers
Information
Policies and measures
(PAM)
Regular budgets
(national / subnational
government)
Global readiness funds Global funds
Internationalcarbon
markets
REDD funds
(National/ subnational)Verification
Policy
formu-
lation
Policy
Design
Policy
Imple-
mentation
M & E
Agenda
Setting
Complex design and implementation
processes create risks for sustainable
emissions reductions
and social and environmental side-objectives
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Method
Qualitative assessment of implementation risks, applying a hybrid approach of deductive and
inductive thematic analysis
Data: findings of CIFOR’s Global Comparative Study on REDD+ country profiles
Description of drivers of deforestation; analysis of political, economic and institutional
contexts; the policy options for REDD+ in the country.
Based on extensive literature reviews, expert interviews and consultation workshops
Additional scientific literature, donor reports and policy documents
Verification of results through consultation with in-country experts
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Countries in the Global Comparative Study on REDD+
Source: http://www.cifor.org/gcs/modules/redd-policies/
( )
( )
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Risks analysed
Policy
Formu-
lation
Policy
Design
Policy
Imple-
mentation
M & E
Agenda
Setting
1.Overlapping policies, contradicting measures,
inequitable distribution of benefits and burdens
2.MRV: risks of artificial baseline setting and
asymmetric information
3.Accessing REDD+ finance: risks in meeting and
measuring ‘performance’
4.REDD+ BSMs: risks to equity from inadequate
design
5.Risks of illegitimate decision-making processes
and policy implementation
6.Carbon and tenure rights: risks of powerful elites
securing rights to benefits
7.Challenges of multilevel governance
Implementation stage Risks
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Policy formulation: Definition of objectives
Risks:
1. Overlapping policies and
contradicting measures
2. Inequitable distribution
of benefits and burdens
Definition of national REDD+ objectives determines scope of activities and targeted
stakeholders
Examples:
In Tanzania REDD+ goals are overshadowed by well-
funded donor initiatives that aim to develop small- and
large-scale commercial agriculture
85% of Vietnam’s forest area is managed by state-owned
companies; large scale land owners in Brazil account for
about 80% of deforestation
Source: Loft et al. 2016; Luttrell et al. 2013
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Policy design: Reference emissions levels and
monitoring
Risks:
Inaccurate setting of reference levels
and monitoring
Creation of artificial emissions
reductions
Market distortion due to asymmetric
information
Determines emissions reductions, impacts potentially targeted stakeholders
Examples:
Improvements in remote sensing and data
availability, but…
Administrative capacity for MRV still
considered
low in PNG, Nepal, Laos and
Mozambique
moderate in Burkina Faso and
Cameroon
high in Bolivia, Peru and Vietnam
very high in Indonesia, Brazil and DRC
Different sources of relevant data,
Vietnam and Indonesia with separate
Source: Ochieng et al. 2016; Loft et al. 2016
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Policy design: Benefit sharing
Determines eligible benefitting stakeholders, sets incentives for land use change
Benefit Sharing
Mechanism
Countries Challenges
Fund-based
approaches*
*incl. PES elements
Brazil, Burkina Faso,
Cameroon, DRC, Tanzania,
Indonesia and Vietnam
Potentially large amount of payments channelled
to the funds provokes organizational
competitions and conflicts over power and
interests
Nested
approaches*
*incl. PES elements
Brazil, Peru Require a clear devolution of rights and
a multilevel governance system in order to be
effective
Building on
existing systems*
*incl. PES elements
Cameroon, Nepal, Vietnam Risk of reinforcing any systemic regulatory,
procedural or governance flaws inherent in the
system
Not yet defined Bolivia, Laos PDR, Risk of disincentivizing performance in reducing
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Policy implementation: Stakeholder participation
Risks:
Domination by powerful
groups, elite capture of
benefits, corruption
REDD+ policies and measures
perceived as inequitable and
illegitimate, may lead to
opposition to implementation
Determines procedural equity and legitimacy of implementation
Examples:
DRC, Cameroon: participation in agenda setting is very
much limited to a few state and international actors,
Laos PDR, Peru: in early stages with FPIC not well
implemented
In Vietnam those forest stewards that are not eligible
to PFES are among main actors of deforestation
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Managing risks and avoiding pitfalls
…how REDD+ PAMs are designed, such as…
Perceived inequity and illegitimacy of cost
and burden sharing
Capacity constraints at subnational
governance levels
Some of the risks are related to…
… a country’s political and economic
context, e.g.
Differences in data collection and
discrepancies in forest data;
Lack of legal clarity on carbon rights and
occurrence of common tenure rights
problems;
Could be managed through reflexive
policy learning and adaptive
implementation
Need to be carefully considered; room
for mitigation but often beyond the scope
of control
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Conclusions
Clear objectives of national REDD+ implementation need to be set early in the policy
process
Understanding country specific risks and how they might influence the design of a
REDD+ policy is a necessary step early in the design and implementation process
A possible approach to identifying and evaluating existing and potential risks and
solutions is through inclusive multi-stakeholder forums
Ongoing development of REDD+ safeguards would benefit from a careful review of
these risks, and the development of specific criteria and indicators
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Open access:
https://www.cambridge.org/core/journal
s/environmental-conservation
We acknowledge the support from:
the Norwegian Agency for Development Cooperation (Norad), the
European Union (EU), the UK Government, the International Climate
Initiative (IKI) of the German Federal Ministry for the Environment,
Nature Conservation, Building and Nuclear Safety (BMUB), Swiss
Agency for Development and Cooperation (SDC), and the CGIAR
Research Program on Forests, Trees and Agroforestry (CRP-FTA)
with financial support from the CGIAR Fund.
Thank you!
Notas del editor
The complex structure of the REDD+ architecture also means that there are different risks involved in its implementation. It is important to understand the policies and governance factors causing these risks.
The aim of this paper is to identify, assess and categorize major governance risks of national REDD+ implementation based on actual in-country experiences and to provide insights into how and why they occur and whom they potentially affect. This will allow policy makers to take mitigating or adaptive steps towards a more informed design and implementation of national REDD+ systems, making them more effective and equitable.
Brazil, DRC, Mozambique, Tanzania, Indonesia, Nepal, Vietnam are in the final stages of developing national REDD+ strategies
All countries in this study except for Bolivia and Brazil have produced at least draft FCPF R-PPs
We can identify two types of risks associated with the definition of national and Subnational REDD+ objectives. First, REDD+ objectives are often not clearly defined, which creates a risk of contradictory or overlapping policies and of ineffective implementation.
One example is the Tanzanian REDD+ strategy, which is closely integrated into national growth and development policies. Through this integration, the goals of REDD+ are being overshadowed by other well-funded donor initiatives that aim to develop both small- and large-scale commercial agriculture and may encourage expansion of agriculture into forests (Kweka et al. 2015).
Second, there is a potential for trade-offs between the primary goal of efficient and effective emissions reductions and the co-objectives. Perceptions of inequity may further lead to a lack of acc
Furthermore, differences in the collection of data on land and in forests are problematic.
In Vietnam, for example, discrepancies in forestry data were found when comparing the country’s two separate databases on land classification and administration. The first database, maintained by the Ministry of Natural Resources and Environment, contains
information on land management, including land area and land use planning. The second database, managed by the
Ministry of Agriculture and Rural Development, defines categories of forest and forestland and contains data on the
extent of forest coverage (Pham et al. 2012). The existence of two land use classification systems complicates monitoring
and reporting efforts: assessments will be based on changes in forest cover over time, whereas REDD+ benefit sharing
depends on land use registration data.
Likewise, in Indonesia, discrepancies in the data collected on forests are attributable to differences in the definition of forest, forest classifications and data analysis methods, despite efforts to harmonize these through a one-map policy (Indrarto et al. 2012). In DRC, primary data sources are difficult to identify because there is very little centralization of statistics and very few people
are trained in this field (Mpoyi et al. 2013). Similarly, Laos PDR lacks reliable carbon data at the national level (Lestrelin
et al. 2013).
Therefore, it is not surprising that amongst all of the countries studied, the only country that submitted a (historical) RL to the UNFramework Convention on Climate Change (UNFCCC) in 2014 was Brazil.
Both institutional structures and policy instruments for distributing REDD+ benefits are key elements in the design of the REDD+ architecture. Different funding and distribution mechanisms work better in some contexts than others, depending on the governance and enabling factors.
If relevant factors are not in place, the REDD+ BSMs may fail to provide sufficient incentives to motivate policy reforms and changes in behaviour. This would thus place the national REDD+ policy at risk of being ineffective, inefficient and inequitable.
Most of the countries analysed have proposed mixed approaches to the REDD+ BSMs
The effective, efficient and equitable design and implementation of PAMs is highly contingent on the legitimization of REDD+ policies
An important element of policy analysis is to understand the potential risks and how these can be prevented. Evidence based analysis helps reduce the uncertainty attached to policy design and implementation as far as possible (Huettner 2012).
Some of the risks are related to
…how REDD+ PAMs are designed, and could thus be managed through reflexive policy learning and adaptive implementation.
…a country’s unique political and economic context, which has to be carefully considered when thinking about specific national REDD+ designs. There may be room for mitigation, but often these contextual risks are beyond the scope of control.