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Table T16: Scoring <strong>of</strong> Soil Erosion Control in the Doon Valley Project, India<br />

Village Division Scores on Erosion Control<br />

Site 1 Site 2 Site 3 Site 4 Site 5 Average<br />

Tachchila Dehradun 50 75 100 40 66<br />

Majhara Dehradun 100 100 100 100 100<br />

Rainiwala Dehradun 100 100<br />

Hasanpur Dehradun 25 100 100 100 81<br />

Bhopalpani Song 0 0 0 0 0<br />

Bharwakatal Song 50 25 75 50<br />

Kalimati Song 75 75<br />

Marora Song 50 75 50 100 69<br />

Dudhai Kalsi 75 100 50 75<br />

Nahad Kalsi 50 25 75 50<br />

Singli Kalsi 80 100 100 40 80<br />

Sorna Kalsi 100 100 100<br />

Bawani Rishikesh 0 0 0 0 0<br />

Dagar Rishikesh 0 0 0 0 0<br />

Dour Rishikesh 0 0 0 0 0<br />

Koti May Chak Rishikesh 75 100 75 50 100 80<br />

Source: Reproduced with permission from James, A. 2003. Quantified Participatory Assessment: Capturing<br />

Qualitative In<strong>for</strong>mation in Large-Scale Development Projects. Available at: http://www.solutionexchangeun.net.in/decn/cr/res03060802.pdf<br />

Example: Scoring <strong>of</strong> <strong>social</strong> equity <strong>of</strong> NTFP enterprises in India<br />

This example comes from a broader analysis <strong>of</strong> the <strong>social</strong>, environmental and economic benefits <strong>of</strong><br />

conservation oriented enterprises in five States <strong>of</strong> North and South India (James et al., 2005). Table<br />

T17 shows the scores out <strong>of</strong> a hundred <strong>for</strong> carefully selected ‘<strong>social</strong> equity’ indicators <strong>of</strong> some NTFP<br />

enterprises. While these scores were self-<strong>assessment</strong> scores, and are there<strong>for</strong>e prone to subjectivity<br />

and bias, it can be observed how this approach could be adapted to a multiple stakeholder<br />

<strong>assessment</strong> system.<br />

Social Impact Assessment <strong>of</strong> Land-Based Carbon Projects (1.0) – Part II | 59

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