Table 1 Method of extending IFPRI-SAM and multiplier model with CSA practice

Step 1:

Identify CSA practices for paddy and wheat

Rice—(1) Direct Seeded Rice, (2) Systems of Rice Intensification, and (3) Natural Farming

Wheat—(1) Zero Tillage Wheat, (2) Systems of Wheat Intensification, and (3) Natural Farming

Step 2:

Estimate intermediate and value-added input coefficients for CSA practice. Please see Sect. 2.3 to understand the changes in input–output coefficients due to CSA practice

Step 3:

Develop 2017/18 SAM multiplier model without CSA interventions

Step 4:

Simulate 2017/18 SAM multiplier model by changing input–output coefficients of paddy and wheat activities corresponding to changes in input–output coefficients due to above selected CSA practices

Step 5:

Split paddy and wheat activities between traditional and CSA practices and balance the 2017/18 SAM. In this case we have not split the commodities as the commodity output between traditional and CSA practices are homogenous but the level of output corresponding to CSA activities depends on level of adoption of CSA in the country

Step 6:

Extend the SAM multiplier model with CSA practices and simulate it for different levels of adoption CSAs. Given the existing SAM of 112 sectors, the extended SAM will consist of two additional modified paddy and wheat sectors as discussed in step 1 (114 sectors)

Step 7:

We have assumed 2.5%, 5% and 10% scale of adoption of CSA technologies to simulate the multiplier model. In this case to simulate the model, the changes are made to the production levels, resulting from increase in land area under cultivation based on the aforementioned incremental percentages