| Growth Rate of . | (1) Value Added of Primary Industry . | (2) Value Added of Secondary Industry . | (3) Value Added of Tertiary Industry . |
|---|---|---|---|
| A. Models with no lags | |||
| Average temperature | −0.0253*** | −0.0110* | −0.0034 |
| (0.0051) | (0.0061) | (0.0047) | |
| Average precipitation | −0.0091*** | −0.0027 | −0.0049 |
| (0.0027) | (0.0038) | (0.0033) | |
| Observations | 25,760 | 25,711 | 24,796 |
| R-squared | 0.0673 | 0.0679 | 0.0505 |
| B. Models with 5 lagsa | |||
| Average temperature | −0.0313*** | −0.0118* | 0.0010 |
| (0.0058) | (0.0067) | (0.0051) | |
| Average precipitation | −0.0105*** | −0.0022 | −0.0037 |
| (0.0028) | (0.0040) | (0.0034) | |
| Cumulative effect of average temperature | −0.0338** | 0.0005 | −0.0328** |
| (0.0158) | (0.0199) | (0.0154) | |
| Cumulative effect of average precipitation | −0.0111 | −0.0103 | −0.0077 |
| (0.0073) | (0.0105) | (0.0088) | |
| Observations | 25,760 | 25,711 | 24,796 |
| R-squared | 0.0703 | 0.0683 | 0.0520 |
| C. Models with 10 lags | |||
| Average temperature | −0.0276*** | −0.0103 | 0.0031 |
| (0.0058) | (0.0068) | (0.0052) | |
| Average precipitation | −0.0117*** | −0.0030 | −0.0048 |
| (0.0028) | (0.0041) | (0.0035) | |
| Cumulative effect of | −0.0316* | −0.0292 | −0.0534*** |
| average temperature | (0.0187) | (0.0230) | (0.0183) |
| Cumulative effect of | −0.0389*** | −0.0465*** | −0.0310** |
| average precipitation | (0.0118) | (0.0179) | (0.0141) |
| Observations | 25,760 | 25,711 | 24,796 |
| R-squared | 0.0729 | 0.0695 | 0.0539 |
| Growth Rate of . | (1) Value Added of Primary Industry . | (2) Value Added of Secondary Industry . | (3) Value Added of Tertiary Industry . |
|---|---|---|---|
| A. Models with no lags | |||
| Average temperature | −0.0253*** | −0.0110* | −0.0034 |
| (0.0051) | (0.0061) | (0.0047) | |
| Average precipitation | −0.0091*** | −0.0027 | −0.0049 |
| (0.0027) | (0.0038) | (0.0033) | |
| Observations | 25,760 | 25,711 | 24,796 |
| R-squared | 0.0673 | 0.0679 | 0.0505 |
| B. Models with 5 lagsa | |||
| Average temperature | −0.0313*** | −0.0118* | 0.0010 |
| (0.0058) | (0.0067) | (0.0051) | |
| Average precipitation | −0.0105*** | −0.0022 | −0.0037 |
| (0.0028) | (0.0040) | (0.0034) | |
| Cumulative effect of average temperature | −0.0338** | 0.0005 | −0.0328** |
| (0.0158) | (0.0199) | (0.0154) | |
| Cumulative effect of average precipitation | −0.0111 | −0.0103 | −0.0077 |
| (0.0073) | (0.0105) | (0.0088) | |
| Observations | 25,760 | 25,711 | 24,796 |
| R-squared | 0.0703 | 0.0683 | 0.0520 |
| C. Models with 10 lags | |||
| Average temperature | −0.0276*** | −0.0103 | 0.0031 |
| (0.0058) | (0.0068) | (0.0052) | |
| Average precipitation | −0.0117*** | −0.0030 | −0.0048 |
| (0.0028) | (0.0041) | (0.0035) | |
| Cumulative effect of | −0.0316* | −0.0292 | −0.0534*** |
| average temperature | (0.0187) | (0.0230) | (0.0183) |
| Cumulative effect of | −0.0389*** | −0.0465*** | −0.0310** |
| average precipitation | (0.0118) | (0.0179) | (0.0141) |
| Observations | 25,760 | 25,711 | 24,796 |
| R-squared | 0.0729 | 0.0695 | 0.0539 |
Notes: All columns include other weather variables, county fixed effects, and year fixed effects. Standard errors are clustered in province-by-years and counties. Given space constraints, part B and part C only report the sum of coefficients of all lagged weather variables (cumulative effect). Temperature is measured in degrees Celsius and precipitation is measured in millimeters. *p < 0.1, **p < 0.05, and ***p < 0.01.
Sources: Authors’ estimation based on weather data from the China Meteorological Data Sharing Service System and the National Oceanic and Atmospheric Administration, and on economic data from the Support System for China Statistics Application.