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ZAMBIA: TORS, METHODS AND DATA LINKAGES BETWEEN AGRICULTURAL PRODUCTIVITY, RURAL LIVELIHOODS AND TRADE IN AGRICULTURE AND TRADE FACILITATION 1 FEATS Project.

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Presentation on theme: "ZAMBIA: TORS, METHODS AND DATA LINKAGES BETWEEN AGRICULTURAL PRODUCTIVITY, RURAL LIVELIHOODS AND TRADE IN AGRICULTURE AND TRADE FACILITATION 1 FEATS Project."— Presentation transcript:

1 ZAMBIA: TORS, METHODS AND DATA LINKAGES BETWEEN AGRICULTURAL PRODUCTIVITY, RURAL LIVELIHOODS AND TRADE IN AGRICULTURE AND TRADE FACILITATION 1 FEATS Project

2 Outline Introduction Objectives of the study Methods Data Collection Conclusions 2

3 Introduction Second largest contributor to GDP – 19.8 % (2008) Formal sector employment – 16% (2005) Informal sector - 73 % (2005) Key linkage to industry especially processed food and textiles Source of foreign exchange e.g., cotton, sugar, tobacco etc 3

4 Overall Objectives Provide information and analyze recent trends in agricultural productivity, agricultural trade, livelihoods; Identify the role of and constraints faced by small scale farmers: rural livelihoods, productivity; Identify constraints to trade/trade facilitation within the context of a landlocked country; Identify and highlight role of main donors; To contribute to the finding of solutions through a coherent policy framework that will assist Zambia in meeting the objectives of Vision 2030. 4

5 Methods and Data Employ both primary and secondary data sources Productivity, exports and employment and agriculture output indicators generation will Review of secondary data sources – constraints, etc. Interviews with key stake holders – such as export promotion agency – ZDA, Trade facilitating agencies e.g., ZRA, Mt makulu, small scale farmers union etc 5

6 Cont’d Case study of selected product – primary data collection - sample of one district Some crops under out grower schemes Triangulate various data sources e.g., post harvest report, Trade data, ( take into account value addition) export commodity Vs. area and poverty levels as reported by CSO 6

7 Conclusion Will combine several data sources Case study – inform the secondary sources Structured instrument –on farmers - Research assistants Semi-structured on other stakeholders - by researchers Recommendations  Government  Private sector  NGOS ETC 7


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