“Knowledge for Management Excellence” [Know ME] Tanzania Agricultural Investment Mapping (TAN-AIM) Project Portfolio Mapping Tool (PMT) Familiarization.

“Knowledge for Management Excellence” [Know ME]

Tanzania Agricultural Investment Mapping (TAN-

AIM) Project Portfolio Mapping Tool (PMT)

Familiarization Session DPs - Agricultural Working Group

(AWG)

21st AUGUST, 2014

Presenter: TAN AIM Project team.

Purpose of the Presentation and Sensitization Present the TAN AIM Map Validate the information, evaluate the

results and discuss the gaps Discuss on improvements on the data

collection and provide extra information Discuss on the Use Vales to be created

within the map and outside the map. Discuss the hosting of the tool –capacity

issues? Discuss sustainability and updating the

tool- coordination

Outline of the Presentation 1. Background information and

Genesis of the Project

2. Project Objective, Expectations and Approach

3. Structure and Key Features of the Tool

4

1. Background information and

Genesis of the Project

5

Genesis of TAN-AIM: Chronology of Events

March, 2012: Minister for Agriculture, Prof. Magembe and his delegation from MAFC invited to visit Bill & Melinda Gates Foundation (BMGF) to discuss agricultural transformation program in TZ and best practices learned from agricultural delivery units established in other countries e.g Ethiopia

During the discussion, BMGF presented their support in TZ in the agricultural sector

MAFC felt that they were not aware of some of the support

Minister requested BMGF to share the information with GOT 6

7

Genesis of TAN-AIM: Chronology of Events Cont…

Minister also noted that GOT was also not informed of the other investments in agriculture in the country in terms of, who is who doing what, where in the sector, collaborators and funders.

There is information gap and lack of good data base which limits coordination, sharing of experiences, challenge and successes in implementation, and developing synergies and collaborations in various interventions.

BMGF agreed to support GOT to map and develop a data base of agricultural and livestock investments in TZ mainland.

BMGF Contracted University of Dar es Salaam Business School to undertake the assignment

2. Project Objectives, Expectations and

Approach

8

9

To improve the information flow of all agricultural investments and close the knowledge gap within the sector by understanding linkages between relevant stakeholders

Main Objective of the Mapping

Specific Objectives

1. Collect comprehensive spatial data related to investments /activities/initiatives and partnership information related to investments in the agricultural and livestock sector and sub-sector value chain players in Tanzania.2. Understand the key players and other stakeholders in the agricultural and livestock sector.3. Understand the agricultural and livestock sector and sub-sector value chain players.

10

11

1. Who is investing in the agricultural sector?

2. What are the agricultural investments?

3. Where are the agricultural investments?

4. Who are the different partners and players on the ground?

WHO, WHAT, WHERE, AND WITH WHOM

Project Guiding Questions

Expectations from GOT on the Tool

• Close the information gap and Improve information sharing

• Develop linkages, partnerships, create synergies, and avoid overlaps/duplications

• Improve coordination and collaboration among stakeholders in the sector

• Enhance efficient and effective utilization of resources

• Support the initiative and provide the necessary information

• Support in capacity building for sustainability12

Data Collection Approach Project Design – Proposal write up

(Phased Approach) Literature Review and design of the

Data collection tools Pilot Data Collection – Morogoro region Full data collection – secondary data Stakeholders engagement and

validation Stakeholder sensitization

13

3. Structure and Key Features of the Tool

14

Structure and Key features of the Tool

Investment buckets1.Central Government2.LGAs3.Development Partners [AWG & PSD]4.Private Sector (NSAs)5.Other NSAs [NGOs, CBOs, Farmers’

Organizations, MFIs & Cooperatives]

15

16

Structure and Key features of the Tool Cont…

Implementing Partners Local Partners/Collaborators Program Name Program ID Program Description Intervention Categories & Sub-

Categories [see appendix]

Structure and Key features of the Tool

Cont… Activities Activity/Project Status Location - Region, District, Ward Target Beneficiaries Type of Crops/Livestock supported Start and End Date of the investment Amount Invested in TZS (not all have provided)

17

Contextual/Cross-cutting Data/Layers to be Added

Macro Data (e.g Population & demographics, agricultural production and area harvested)

Infrastructure (e.g Access to market, roads network)

Support Institutions, Organizations and Facilities (e.g Financial Access Points, Research and Development Institutes)

Physical Facilities (e.g Agro dealers)18

Taxonomies [Intervention category & Sub category

19

Appendix

Taxonomies [Intervention category & Sub category]

21

AGRICULTURAL PRODUCTIVITY: Fertilizer Seeds Agronomic practices (IPM) Feeds/ rangeland management Livestock husbandry Animal health/veterinary services Mechanization Fishery and Aquaculture

Taxonomies [Intervention category & Sub category] Cont…

POST-HARVESTProcessingTrade and marketingCommodity value chain

22

Taxonomies [Intervention category & Sub category] Cont… RESEARCH AND EXTENSION

Research and Extension TRAINING AND CAPACITY BUILDING

Training and Capacity Building INFRASTRUCTURE

Irrigation Transport

23

POLICY REFORMS Policy reforms

AGRIC. SERVICES Agricultural credit Microfinance Cooperatives

SAFETY NET Safety Net

24

Taxonomies [Intervention category & Sub category] Cont…

NUTRITION Nutrition

NATURAL RESOURCE MANAGEMENT Soil and water management Land tenure and property rights Climate change

25

Taxonomies [Intervention category & Sub category] Cont…

EMERGENCY PREPAREDNESS National food reserve Early warning Pestilence control (locust, armyworm,

birds) etc Meteorology

INFORMATION TECHNOLOGY Agriculture information service Telecommunication

26

Taxonomies [Intervention category & Sub category] Cont…

27

Go to the Tool

http://tanaim.investmentmapping.org/login.php

Proposed Overlays for Contextual and Cross cutting Data – For Improved Analysis and Use Value of the Map

ADDITIONAL NOTES

28

1.Overlay level 1: Macro Data (partly available)2.Overlay level 2: Infrastructure and Utilities (not

available)3.Overlay level 3: Support Institutions and

Organizations (Only R & D available)4.Overlay level 4: Human Resources (Not

Available)5.Overlay level 5: Physical Facilities (Not

available)

29

CONTEXTUAL AND CROSS CUTTING DATA

Weather information Soil information (topologies) Population – Gender & Age Farm Land Grazing Land

CONTEXTUAL AND CROSS CUTTING DATA Cont…

OVER LAY LEVEL 1: MACRO DATA

30

CONTEXTUAL AND CROSS CUTTING DATA Cont…

OVERLAY LEVEL 2: INFRASTRUCTURE AND UTILITIES

Roads (trunk and feeder roads) Railways Airways Waterways Water points Energy Telecommunications –Connectivity ICT, TV,

Radio, Telephone.(TCRA31

CONTEXTUAL AND CROSS CUTTING DATA Cont…

OVER LAY LEVEL 3: SUPPORT INSTITUTIONS AND ORGANIZATIONS

Financial Institutions (Banks, and Micro Financial Institutions, SACCOS, Cooperatives)

Agricultural Research and Development Institutions

Agricultural Training Institutions Agro Dealers Warehouses

32

CONTEXTUAL AND CROSS CUTTING DATA Cont…

OVERLAY LEVEL 4: HUMAN RESOURCES Extension Officers Irrigation Officers Veterinary Officers Agricultural Officers Livestock Officers Fisheries Officers Statisticians M & E officers Planning Officers MIS Officers

33

CONTEXTUAL AND CROSS CUTTING DATA Cont…

OVERLAY LEVEL 5: PHYSICAL FACILITIES Power Tillers Tractors Agro Processing Mills Slaughter Houses Dip Facilities Hides and Skins Tanneries Abattoirs Diary Processing Plants Meat Processing Plants Animal Feeds Processing Plants

34

THANK YOU FOR LISTENING

QUESTIONS and COMMENTS ?