Table 1 Panel regression results for the effects of daily average temperature

From: Non-linear relationships between air temperature and river water quality revealed by a panel dataset of 276 Chinese cities

 

(1) DO

(2) CODMn

(3) NH3-N

Temp

−0.00177

−0.000712

−0.0141***

(0.0017)

(0.0023)

(0.0037)

Temp2

−0.000238***

−0.000197***

−0.000332***

(0.000053)

(0.00005)

(0.0001)

Prec

−4.27***

−1.69

−9.11***

(1.1)

(1.8)

(2.7)

GDP

−0.000126*

0.0000671

0.000368

(0.000068)

(0.00034)

(0.00056)

Industry

0.368

0.664

−0.0858

(0.23)

(0.78)

(0.72)

Emission

0.025

−0.0549

−0.071

(0.018)

(0.06)

(0.13)

Temp × Prec

0.119**

0.0569

0.41***

(0.053)

(0.078)

(0.12)

N

170752

118489

135182

adj. R2

0.436

0.593

0.475

BIC

54,451

141,826

314,283

  1. Note: The coefficients are the regression results of the main models for DO, CODMn, and NH3-N, representing the 100%-point effect on water quality per unit increase for a given temperature. “Temp”, the daily air temperature; “Prec”, total daily precipitation; “GDP”, total GDP; “Industry”, the percentage of GDP output of the secondary sector; “Emission”, wastewater discharged; “N”, the number of observations. Standard errors are clustered at the municipal level and are shown in parenthesis.
  2. *p < 0.1, **p < 0.05, ***p < 0.01.
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