Leveraging Geospatial Data and Analytical Tools for Supporting
the Implementation of National Agricultural and Food Security
Investments Plan (NAFSIPs) in Tanzania
TRAINING WORKSHOP ON
EX-ANTE TECHNOLOGY IMPACT ASSESSMENT TO
SUPPORT STRATEGIZING AGRICULTURAL INVESTMENTS
Holiday Inn City Centre, Dar es Salaam, Tanzania | 20-22 February, 2017
INTRODUCTION
Background
BEAT in partnership with IFPRI launched a Regional Training Programme on Policy Practice and
Leadership for Agricultural and Rural Transformation, in Nairobi, December 2016. The session
launched a number of products and services aimed at strengthening implementation capacities of
decision makers, policy makers, managers and implementers of agricultural and rural development.
Among the products were the Agriculture Policy Practice Index (APPI) and tools such as GIS, ex-ante
economic modelling and foresight scenarios. An outcome of the Nairobi session was the request
further capacitation by the Tanzania team in terms of ex-ante technology investment impact
assessment.
BEAT and IFPRI, in partnership with the Ministry of Agriculture Livestock and Fisheries, Tanzania,
have therefore planned a three-day workshop which will provide on-site technical training of
geospatial data and ex-ante technology investment impact assessments tools to support planning
crop technology investments in Tanzania.
This workshop is designed to facilitate discussion within Ministry of Agriculture, Livestock and
Fisheries to assess what in-country analytical capacity exists and how best to strategize for raising
their technical capacity for ex-ante self-assessment for the investment impacts and support
implementation of the National Agricultural and Food Security Investments Plan – specially toward
the Malabo food security target of doubling productivity by 2025.
Contextualizing Malabo Declaration
In the bid to achieve the targets of the Malabo Declaration, which includes
ambitious food security and nutrition goals in Africa to be achieved by 2025, there
is an urgent need of in-country technical capacity to contextualize the continentwide goals at the country-level, analyze Tanzania’s capacity to reach the targets,
prioritize agricultural investment options, and review the national agricultural
investment plans (NAFSIPs) accordingly. The outcome of self-assessment process
with NAFSIPs will further support the planning of investment in government programs and projects
that will accelerate agriculture transformation towards Malabo – especially the access to
productivity and competitiveness-enhancing technologies from the national, regional and
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international systems of agricultural innovation. The outcome will moreover inform monitoring,
evaluation, and iterative learning.
BEAT has developed and piloted self-assessment tools for policy practice under the BEAT/AGRA
Strengthening Agricultural Policy Practice in Africa (SAPPA) program. BEAT is now enhancing SAPPA
efforts in participating countries through the program on Leveraging Geospatial Data and Analytical
Tools for Supporting the Implementation of National Agricultural and Food Security Investments
Plan. In this regard, BEAT is now partnering with IFPRI in the deployment of Technology Platform,
developed by IFPRI with the support of USAID.
The Technology Platform provides technical assistance to strategic partners in
Africa to improve agricultural data collection and sharing, increase evidence and
information, and create an environment to enable better strategic investment
planning to achieve food security targets and goals at the country and regional
levels. Being implemented as a high-level Innovation Platform, the project team at
BEAT and IFPRI provides policy and investment decision makers with data analytics and decisionsupporting tools to strengthen their technical capacity for self-assessment, aiming to enhance the
effectiveness of agricultural technology investments.
BEAT/IFPRI, under the joint activity Supporting Self-Assessment for Strategizing Technology
Investments, plans to hold an on-site technical training workshop on the use of geospatial datasets
and ex-ante technology investment impact assessments tools in Tanzania. The BEAT/IFPRI team is
committed to providing support to initiate the self-assessment process in Tanzania, focusing on the
potential role of improved agricultural technologies towards the CAADP agenda, especially the
attainment of the Malabo targets.
OBJECTIVE AND EXPECTATIONS
Objective
To strengthen the country’s technical self-assessment capacity for better targeting
of agricultural technology investments using IFPRI’s ex-ante investment impact
assessment tool, DREAM (Dynamic Research Evaluation for Management).
During the Workshop
Participants are expected to actively engage in the technical discussion on what data, tools, and
capacity are available to them, help identify what is critically missing, and follow instruction on the
use of tools demonstrated in the training sessions.
After the Workshop
BEAT/IFPRI will develop a draft workshop report on the current yields of five major crops and
analysis on their recent trends and projections to meet the Malabo target, incorporating feedbacks
and reflections from the workshop participants. Participants will be asked to fill a simple online
survey to help identifying the capacity gap and planning for a follow-up workshop and activities.
Participants who successfully completed the training program through active engagement and
demonstration of full understanding will received an official certificate of training completion.
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TRAINING WORKSHOP PROGRAM
Venue: Holiday Inn City Centre, Dar es Salaam
DAY 1
MONDAY| 20FEBRUARY
08:00 - 08:30
PRESENTER/FACILITATOR
REGISTRATION
08:30 - 08:45
Welcome and Introductions
Margaret Ndaba
08:45 - 09:30
Purpose of the Project and Meeting Objectives
Mandi Rukuni (BEAT)
09:30 - 10:00
Prioritization for Malabo Goals
Jawoo Koo (IFPRI)
10:00 - 10:30
TEA BREAK
10:30 - 12:30
Assessing Impacts of Agricultural Research and
Development (R&D)
1. Approximating the impact of R&D
2. How economists model the impact of R&D
3. Who benefits from R&D
Liangzhi You (IFPRI)
12:30 - 13:30
LUNCH BREAK
13:30 - 14:15
Introduction of DREAM
1. Theory of priority setting and R&D evaluation
2. Background model equations
Liangzhi You (IFPRI)
14:15 - 15:00
How to use DREAM
1. Installation and interface
2. Example from Tanzania case study
Ulrike Wood-Sichra (IFPRI)
Jawoo Koo (IFPRI)
15:00 - 15:30
COFFEE BREAK / GROUP PHOTO
15:30 - 16:30
Hands-on Session I
1. Exploring example database
2. Discussion
Liangzhi You (IFPRI)
Ulrike Wood-Sichra (IFPRI)
Jawoo Koo (IFPRI)
16:30 - 17:00
Discussion: Planning for Day 2
Jawoo Koo (IFPRI)
DAY 2
TUESDAY| 21FEBRUARY
PRESENTER/FACILITATOR
08:30 - 09:00
Reflection from Day 1
Tafadzwa Jowa (BEAT)
09:00 - 10:00
DREAM Data Requirement
1. Data formats and database structure
2. Basic DREAM data inputs
3. Process for data preparation for new study
Ulrike Wood-Sichra (IFPRI)
10:00 - 10:30
10:30 - 12:30
TEA BREAK
Case Study Assignment
Liangzhi You (IFPRI)
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1. Process for new application development
2. Trainees formulate their own application
3. Presentation and discussion
12:30 - 13:30
LUNCH BREAK
Liangzhi You (IFPRI)
Ulrike Wood-Sichra (IFPRI)
Tafadzwa Jowa (BEAT)
Grey Mavhondo (BEAT)
13:30 - 15:00
Hands-on Session II
Trainees to develop database for own application
15:00 - 15:30
COFFEE BREAK
15:30 - 16:30
Training on Territorial Planning for Development
with the use of GIS
Grey Mavhondo (BEAT)
16:30 - 17:00
Discussion: Planning for Day 3
Jawoo Koo (IFPRI)
DAY 3
WEDNESDAY| 22FEBRUARY
PRESENTER/FACILITATOR
08:30 - 09:00
Reflection from Day 2
Tafadzwa Jowa (BEAT)
09:00 - 10:00
Hands-on Session III
Trainees to finalize own application
Liangzhi You (IFPRI)
Ulrike Wood-Sichra (IFPRI)
Tafadzwa Jowa (BEAT)
Grey Mavhondo (BEAT)
10:00 - 10:30
10:30 - 12:30
TEA BREAK
Case Study Presentations I
1. Presentation from each trainee
2. Discussion for interpreting results
12:30 - 13:30
13:30 - 15:00
Liangzhi You (IFPRI)
LUNCH BREAK
Case Study Presentations II
Liangzhi You (IFPRI)
15:00 - 15:30
COFFEE BREAK
15:30 - 16:30
Discussion: Policy Implications
1. What policies would realize the potentials?
2. Role of ex-ante analysis in policy making
3. Scoping for additional technical support demands
Mandi Rukuni (BEAT)
Liangzhi You (IFPRI)
Jawoo Koo (IFPRI)
16:30 - 17:00
Closing Remarks
Margaret Ndaba
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PARTICIPANTS
NAME
Margaret Ndaba
Jacqueline Mbuya
Adella Ng’atigwa
Julius Nyalusi
Daines Mtei
Ally Mzava
Bayi Omari
Kulwa Msogoti
Nsiande Raymond
Revelian Ngaiza
Kimasa Bugomba
AFFILIATION/
TITLE
Coordinator for
the Development
Assistance
Cooperation
Research Assistant
Research Assistant
Research Assistant
Research Assistant
Economist
Economist
Senior Economist
Senior Economist
Senior Economist
Senior Fisheries
Officer
Elizabeth Nkini
Ephron P. M. Sanga
Nizigan Juma Nyabenda
Wende Maulaga
Principal
Economist
Senior Economist
Principal Livestock
Officer
Mandi Rukuni
Mabel Hungwe
Grey Mavondo
Tafadzwa Jowa
Jawoo Koo
Liang You
Ulrike Wood-Sichra
Kodjo Kondo
Baitsi K. Podisi
Senior Research
Fellow
Senior Research
Fellow
Senior Research
Assistant
M&E Expert
Research &
Advisory Services
Thematic
Coordinator
ORGANISATION/
DEPARTMENT
EMAIL
MALF-DAC
[email protected]
MALF-DAC
MALF-DAC
MALF-DAC
MALF-DPP
MALF-Policy
MALF-Budget
MIT
MALF-Livestock
MALF-Policy
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
MALF-Fisheries
[email protected]
MOWI
[email protected]
MALF-Livestock
[email protected]
MALF-Livestock
[email protected]
MALF-Livestock
[email protected]
BEAT
BEAT
BEAT
BEAT
[email protected]
[email protected]
[email protected]
[email protected]
IFPRI
[email protected]
IFPRI
[email protected]
IFPRI
[email protected]
CORAF/WECARD
[email protected]
CCARDESA
[email protected]
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APPENDIX: TOOLS FOR TRAINING
DREAM
What is it
DREAM (Dynamic Research Evaluation for Management) is a menu-driven software package for
evaluating the economic impacts of agricultural research and development (R&D). Users can
simulate a range of market, technology adoption, research spillover, and trade policy scenarios
based on a flexible, multi-market, partial equilibrium model.
What is this for
With DREAM you can define a range of technology investment, development, and adoption
scenarios and save them in an integrated database. Scenarios are described using market, R&D, and
adoption information for any number of separate “regions.” Some factors, such as taxes, subsidies,
growth rates, and price elasticities, can be specified as constant or as changing over the analysis
period. Each region in which production takes place may have its own pattern of technology
adoption. After specifying the initial conditions for each region, you can simulate the likely effects of
technology development and adoption on price; on quantities produced, consumed, and traded; and
on the flow of economic benefits to producers, consumers, and government (if tax or subsidy is
specified).
Relevance to the NAIPs appraisal
Ex-ante impact assessments using DREAM can help setting investment priorities of value chains and
trade-offs amongst technology investment options for the country-level targets.
How was it developed
DREAM handles simple to relatively complex evaluation problems using a standardized interface. A
number of market assumptions are possible: small open economy, closed economy, vertically
integrated farm and post-harvest sectors in a single economy, or multiple trading regions. The
software also accommodates technology-driven shifts in supply or demand, and users may specify
constant or variable shift effects over time in farmers’ fields. Importantly, DREAM’s multiple region
specification can simulate various technology “spill-over” scenarios wherein a technology may be
adopted in more than one region. Changes in the pattern of technology spill-overs can significantly
alter the size and distribution of R&D benefits.
Examples of uses
DREAM has been applied to the evaluation of individual projects in a national context as well as to
entire commodity sectors at a sub-continental or continental scale. And while it was designed
primarily to evaluate options for R&D that is yet to be undertaken (ex-ante assessments), DREAM
has also been successfully applied to analyzing the effect of past research (ex-post assessments). The
DREAM model was also used to calculate the size and distribution of the economic benefits from
agricultural research and development activities of ACIAR using a range of market model options
(http://aciar.gov.au/article/methodology-quantifying-impacts). The model has been used in a wide
range of projects related to technology priority setting (e.g.
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http://www.asareca.org/~asareca/sites/default/files/ASARECA%20%20Strategies_%20IFRI%20REPO
RT.pdf), impact of climate change on agriculture(e.g. https://www.ifpri.org/publication/climatechange-food-security-and-socioeconomic-livelihood-pacific-islands; Rosegrant, Valmonte-Santos,
Thomas, You, & Chiang, 2015), and irrigation potential and investment return (e.g.
http://ilssi.tamu.edu,http://www.fao.org/nr/water/projects_agwatermanagement.html; Xie, You,
Wielgosz, & Ringler, 2014).
Where to access
The DREAM model and documentation are freely downloadable from the IFPRI website at
https://www.ifpri.org/publication/dynamic-research-evaluation-management-dream
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