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Site selection in the dairy value chain in Bihar state, India Vamsidhar Reddy, Isabelle Baltenweck, Jane Poole, Pamela Ochungo, Catherine Pfeifer Workshop on Smallholder Dairy Value Chain Transformation in Bihar – Challenges, Opportunities and the Way Forward Patna, India, 1-2 August 2014
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Site selection in the dairy value chain in Bihar state, India

Jan 15, 2015

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Technology

Lance Robinson

Presented by Vamsidhar Reddy, Isabelle Baltenweck, Jane Poole, Pamela Ochungo, Catherine Pfeifer at the Workshop on Smallholder Dairy Value Chain Transformation in Bihar—Challenges, Opportunities and the Way Forward, Patna, India, 1-2 August 2014

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Page 1: Site selection in the dairy value chain in Bihar state, India

Site selection in the dairy value chain in Bihar state, India

Vamsidhar Reddy, Isabelle Baltenweck, Jane Poole, Pamela Ochungo, Catherine Pfeifer

Workshop on Smallholder Dairy Value Chain Transformation in Bihar – Challenges, Opportunities and the Way Forward

Patna, India, 1-2 August 2014

Page 2: Site selection in the dairy value chain in Bihar state, India

Overview1. A rationale for site selection2. Spatial analysis for Bihar

a. Layers usedb. Preselected departments

3. Defining soft criteria 4. Scoring soft criteria 5. Final ranking the sites

Page 3: Site selection in the dairy value chain in Bihar state, India

Huge heterogeneity in bio-physical and socio-economic context

Identify a small number of representative research locations: That capture the gradient of key variables provide opportunity for good research and impact

Site selection - rationale

Page 4: Site selection in the dairy value chain in Bihar state, India

Multi-step procedure1. Define State for the dairy value chain

Based on poverty, milk production, consumption, and productivity gap indicator

2. Define the target zone3. Spatial stratification and selection of ‘potential sites’

Based on the ‘hard’ criteria Representing the different contexts/environments

4. Scoring of potential sites Based on the ‘soft’ criteria ‘Impact’ indicators and ‘ease of working’ indicators Groundtruthing

5. Agreement on final set of sites

Page 5: Site selection in the dairy value chain in Bihar state, India

Multi-step procedure1. Define State for the dairy value chain

Based on poverty, milk production, consumption, and productivity gap indicator

Bihar was selected2. Define the target zone3. Spatial stratification and selection of ‘potential sites’

Based on the ‘hard’ criteria Representing the different contexts/environments

4. Scoring of potential sites Based on the ‘soft’ criteria ‘Impact’ indicators and ‘ease of working’ indicators Groundtruthing

5. Agreement on final set of sites

Page 6: Site selection in the dairy value chain in Bihar state, India

Overview1. A rationale for site selection2. Spatial analysis for Bihar

a. Layers usedb. Preselected departments

3. Defining soft criteria 4. Scoring soft criteria 5. Final ranking the sites

Page 7: Site selection in the dairy value chain in Bihar state, India

Density of poor people

Page 8: Site selection in the dairy value chain in Bihar state, India

Bovine density

Page 9: Site selection in the dairy value chain in Bihar state, India

GIS analysisBovine density

Density of poor

Page 10: Site selection in the dairy value chain in Bihar state, India

Combining the criteria's

Page 11: Site selection in the dairy value chain in Bihar state, India

How to define low and high?Variable Median value Stakeholder defined value

Bovine density 174

poor people density 1,555,000

Based on this criteria we can select a long list of potential sites

Page 12: Site selection in the dairy value chain in Bihar state, India

Selection criteria

• The spatial criteria ALONE don’t have a high enough resolution to select field sites completely, so we combine them with soft criteria AND ‘groundtruthing’ (with stakeholders) to come up with the final selection

• Under ‘soft’ criteria we understand:Partners – presence & capacityOn-going research activities Proximity and comparability to other long-term research sitesInstitutional actor presence & networksResource availabilityOthers?....

Page 13: Site selection in the dairy value chain in Bihar state, India

Scoring soft criteria

• Fill the scoring sheet in groups of 5-7– Give a mark for each criteria for each potential

• Come up with a ranking of sites

Page 14: Site selection in the dairy value chain in Bihar state, India

Comparison between groups

• Negotiation for a final rank

Page 15: Site selection in the dairy value chain in Bihar state, India

THANK YOU

Page 16: Site selection in the dairy value chain in Bihar state, India

CGIAR is a global partnership that unites organizations engaged in research for a food secure future. The CGIAR Research Program on Livestock and Fish aims to increase the productivity of small-scale livestock and fish systems in sustainable ways, making meat, milk and fish more available and affordable across the developing world.

CGIAR Research Program on Livestock and Fish

livestockfish.cgiar.org

Page 17: Site selection in the dairy value chain in Bihar state, India

Data Sources for Spatial analysis

Selection criteria Data source

Livestock: Bovine density FAO, Gridded Livestock of The World Database (2007)

Poverty: Density of people living below the poverty line ($1)

Harvestchoice, 2010

Human population density Gridded Population of the World (GRUMP) V3. (2005)

Data sources are:

Page 18: Site selection in the dairy value chain in Bihar state, India

Table 1: Surface area of production systems in India (derived from Robinson et al., 2011)

Production system Surface area (km2) Percentage (%)Rangeland based, Arid/Semi-arid (LGA) 182,160 6.1

Mixed rainfed, Arid/Semi-arid (MRA) 783,920 26.4

Mixed rainfed, Humid/Sub-humid (MRH) 191,050 6.4

Mixed rainfed, Temperate/Tropical highlands (MRT) 48,260 1.6

Mixed irrigated, Arid/Semi-arid (MIA) 742,520 25.0

Mixed irrigated, Humid/Sub-humid (MIH) 80,380 2.7

Urban 201,960 6.8

Other 712,610 24.0