Table D.4: Technology Curve Robustness for Agriculture

||(1)<br>Baseline|(2)|(3)<br>Log|(4)|(5)<br>Max-1|(6)|(7)<br>Observed M|(8)<br>ax|(9)<br>Excluding|(10)<br>BF|
|---|---|---|---|---|---|---|---|---|---|---|
|Business Functions|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|
|Land Preparation|1.29***<br>(0.07)|0.57|1.41***<br>(0.08)|0.53|1.30***<br>(0.07)|0.57|1.24***<br>(0.07)|0.56|1.16***<br>(0.08)|0.44|
|Irrigation|1.92***|0.70|1.65***|0.64|1.80***|0.69|1.86***|0.70|1.86***|0.56|
||(0.08)||(0.08)||(0.08)||(0.08)||(0.11)||
|Pest Control|0.93***|0.55|1.11***|0.59|0.94***|0.55|1.23***|0.57|0.85***|0.46|
||(0.06)||(0.06)||(0.06)||(0.07)||(0.06)||
|Harvesting|1.05***|0.39|1.06***|0.36|1.06***|0.39|1.01***|0.38|0.86***|0.26|
||(0.09)||(0.10)||(0.09)||(0.09)||(0.10)||
|Storage|1.33***<br>(0.06)|0.64|1.31***<br>(0.07)|0.62|1.35***<br>(0.07)|0.64|1.29***<br>(0.06)|0.64|1.25***<br>(0.08)|0.54|
|Packing|0.29***|0.09|0.35***|0.08|0.35***|0.10|0.28***|0.08|0.19**|0.04|
||(0.08)||(0.10)||(0.09)||(0.08)||(0.07)||

Note: *** p _<_ 0.01, ** p _<_ 0.05, * p _<_ 0.1. Dependent variables are presented in each row. In the first specification, each sector specific business function-level technology (SSBF MOST) in Agriculture is regressed on ABF MOST. In the second specification, we use log of ABF MOST. In the third specification, we compute ABF MOST by changing denominator from max to max-1. In the third specification, we compute ABF MOST by using observed max of technology as a denominator. In the last specification, we compute each ABF MOST by excluding a business function used in the dependent variable. Robust standard errors are provided in the parentheses.

Table D.5: Technology Curve Robustness for Food Processing

||(1)<br>Baseline|(2)|(3)<br>Log|(4)|(5)<br>Max-1|(6)|(7)<br>Observed M|(8)<br>ax|(9)<br>Excluding|(10)<br>BF|
|---|---|---|---|---|---|---|---|---|---|---|
|Business Functions|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|ABF MOST|R<sup>2</sup>|
|Input Test|0.76***<br>(0.07)|0.29|0.97***<br>(0.08)|0.33|0.84***<br>(0.07)|0.30|0.75***<br>(0.07)|0.29|0.61***<br>(0.07)|0.20|
|Mixing/Blending/Cooking|0.68***<br>(0.10)|0.12|0.66***<br>(0.10)|0.11|0.78***<br>(0.11)|0.13|0.67***<br>(0.10)|0.12|0.34***<br>(0.10)|0.03|
|Anti-bacterial|0.81***<br>(0.10)|0.20|0.88***<br>(0.10)|0.21|0.90***<br>(0.11)|0.21|0.81***<br>(0.10)|0.20|0.56***<br>(0.10)|0.10|
|Packaging|1.16***<br>(0.08)|0.36|1.19***<br>(0.08)|0.36|1.27***<br>(0.08)|0.38|1.14***<br>(0.08)|0.36|0.91***<br>(0.09)|0.22|
|Food Storage|1.30***<br>(0.10)|0.33|1.21***<br>(0.09)|0.32|1.44***<br>(0.10)|0.34|1.29***<br>(0.10)|0.33|0.97***<br>(0.11)|0.18|
|Fabrication|0.54***<br>(0.03)|0.41|0.77***<br>(0.04)|0.45|0.48***<br>(0.03)|0.41|0.53***<br>(0.03)|0.41|0.52***<br>(0.02)|0.31|

Note: *** p _<_ 0.01, ** p _<_ 0.05, * p _<_ 0.1. Dependent variables are presented in each row. In the first specification, each sector specific business function-level technology (SSBF MOST) in Food Processing is regressed on ABF MOST. In the second specification, we use log of ABF MOST. In the third specification, we compute ABF MOST by changing denominator from max to max-1. In the third specification, we compute ABF MOST by using observed max of technology as a denominator. In the last specification, we compute each ABF MOST by excluding a business function used in the dependent variable. Robust standard errors are provided in the parentheses.

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