Table 8 Analysis of regional differences in regulatory effects.
From: Research on the impact of climate change on food production resilience in China
Variable | (1) | (2) | (3) |
|---|---|---|---|
Major-production | Major-consumption | Balanced areas | |
AT | – 0.0004 | – 0.0085*** | 0.0041 |
(0.0018) | (0.0031) | (0.0033) | |
|SPI| | – 0.0031* | – 0.0044 | – 0.0008 |
(0.0018) | (0.0033) | (0.0026) | |
SID | – 0.2525*** | – 0.0132 | – 0.1835*** |
(0.0616) | (0.0372) | (0.0661) | |
SID*AT | – 0.0016 | – 0.0342* | – 0.0032 |
(0.0126) | (0.0182) | (0.0177) | |
SID*|SPI| | 0.0234* | – 0.0218 | 0.0085 |
(0.0130) | (0.0194) | (0.0168) | |
Trade | 0.0010 | 0.0366*** | – 0.0099** |
(0.0049) | (0.0053) | (0.0041) | |
Electricity | 0.0004 | 0.0030 | 0.0048 |
(0.0044) | (0.0019) | (0.0054) | |
Non-farm share | – 0.0039*** | 0.0087** | 0.0025** |
(0.0009) | (0.0034) | (0.0012) | |
Urbanization level | 0.0018*** | 0.0024* | 0.0016*** |
(0.0006) | (0.0013) | (0.0005) | |
Cropping structure | – 0.0302** | 0.0094 | – 0.0075 |
(0.0131) | (0.0162) | (0.0075) | |
Urban–rural income gap | 0.7896*** | -0.7288** | 0.0606 |
(0.0959) | (0.2788) | (0.1224) | |
Constant term | – 0.0004 | – 0.0085*** | 0.0041 |
(0.0018) | (0.0031) | (0.0033) | |
N | 169 | 91 | 143 |
R2 | 0.6610 | 0.7911 | 0.6757 |
