Table 1 Impact of weather and irrigation on log wheat yield

From: The role of irrigation in changing wheat yields and heat sensitivity in India

Dependent variable:

Log wheat yield

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

(9)

EDD [30 + ] (10 days)

−0.0243***

−0.0249***

−0.0216***

−0.0220***

−0.0241***

−0.0196***

−0.0575***

−0.0449***

−0.0550***

(0.003)

(0.004)

(0.004)

(0.004)

(0.004)

(0.002)

(0.008)

(0.008)

(0.008)

GDD [0, 30] (10 days)

 

−0.0001

−0.0001

−0.0002

−0.0003

0.0000

−0.0015

0.0007

−0.0016

 

(0.001)

(0.001)

(0.001)

(0.001)

(0.000)

(0.001)

(0.001)

(0.001)

Precip (10 mm)

  

0.0010***

0.0008***

0.0008***

0.0013***

0.0012*

0.0014**

0.0053***

  

(0.000)

(0.000)

(0.000)

(0.000)

(0.001)

(0.001)

(0.001)

Rainy days

   

0.0010**

0.0010***

0.0003

0.0015

0.0009

0.0013

   

(0.000)

(0.000)

(0.000)

(0.001)

(0.001)

(0.001)

Share irrigation

    

0.4493***

0.5564***

0.0339

0.7749

0.1843

    

(0.084)

(0.091)

(0.410)

(0.488)

(0.419)

Precip Sq.

        

−0.0002***

        

(0.000)

EDD [30+] × Share irrigation

      

0.0411***

0.0316***

0.0390***

      

(0.008)

(0.009)

(0.008)

GDD [0, 30] × Share irrigation

      

0.0011

−0.0011

0.0012

      

(0.001)

(0.002)

(0.001)

Precip × Share irrigation

      

−0.0005

−0.0001

−0.0043***

      

(0.001)

(0.001)

(0.002)

Rainy days × Share irrigation

      

−0.0006

−0.0009

−0.0005

      

(0.002)

(0.002)

(0.002)

Precip Sq x Share irrigation

        

0.0002***

        

(0.000)

Observations

7661

7661

7661

7661

7661

7661

7661

7661

7661

Impact of EDD under Full irrigation

      

−0.016

−0.013

−0.016

P value

      

0.000

0.000

0.000

Adj. Rsq

0.906

0.906

0.907

0.907

0.913

0.894

0.914

0.895

0.915

RMSE

0.159

0.159

0.158

0.158

0.153

0.169

0.151

0.168

0.151

  1. Notes: Dependent variable is the logarithm of wheat yield. Each column represents a separate regression model. Standard errors are displayed in parentheses and are clustered at the district-level. All models include district fixed effects and state-specific linear time trends. Columns 1–5, 7 and 9 also include year fixed effects. In column 9, a quadratic precipitation term is added
  2. Stars indicate statistical significance: *p ≤ 0.1, **p ≤ 0.05, ***p ≤ 0.01
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