方法对比

	Value Chain Analysis for Development	Sustainable Livelihoods Framework
领域	Development Studies	Development Studies
方法族	Process / pipeline	Process / pipeline
起源年份	2001	1998
提出者	Raphael Kaplinsky & Mike Morris; Gary Gereffi, John Humphrey & Timothy Sturgeon	Robert Chambers & Gordon Conway; Ian Scoones; DFID
类型	Systemic market and sectoral analysis framework	Analytical framework for understanding livelihoods and poverty
开创性文献	Kaplinsky, R., & Morris, M. (2001). A Handbook for Value Chain Research. Institute of Development Studies / IDRC, Brighton.	Scoones, I. (1998). Sustainable Rural Livelihoods: A Framework for Analysis. IDS Working Paper 72. Institute of Development Studies, Brighton.
别名	Pro-Poor Value Chain Analysis, Inclusive Value Chain Analysis, Global Value Chain Analysis, Value Chain Development	SLF, Sustainable Livelihoods Approach, SLA, DFID Livelihoods Framework
相关	4	4
摘要	Value Chain Analysis examines the full sequence of activities required to bring a product or service from conception through production to final consumers and beyond, asking who does what, who governs the chain, and how the value created is distributed among participants. In its development and pro-poor variant, codified in Kaplinsky and Morris's IDS handbook and grounded in Gereffi's global-value-chain theory, the method is used to identify how poor producers and workers can capture a larger or more secure share of value through upgrading and inclusion.	The Sustainable Livelihoods Framework (SLF) is an analytical lens for understanding how poor households construct their livelihoods, drawing on five categories of capital assets within a vulnerability context that is mediated by institutions and policies. Crystallised by Robert Chambers and Gordon Conway and operationalised by Ian Scoones and the UK Department for International Development (DFID) in the late 1990s, it shifts development analysis from sector-by-sector or income-only views to a holistic, people-centred account of what people have, what they do with it, and what outcomes result.