Land Circulation, Scale Operation, and Agricultural Carbon Reduction Efficiency: Evidence from China
Table 3
Results of benchmark regression.
Explanatory variables
Agricultural CRE
Model (1)
Model (2)
Model (3)
Land circulation
1.046 (0.051)
0.386 (0.119)
0.379 (0.121)
Farmland area
—
0.005 (0.001)
0.003 (0.001)
Planting structure
—
−0.800 (0.197)
−0.589 (0.196)
Human capital
—
−0.032 (0.031)
−0.067 (0.036)
Effective irrigation rate
—
0.358 (0.114)
0.276 (0.112)
Agricultural disaster rate
—
−0.022 (0.052)
0.005 (0.051)
Product price
—
−0.027 (0.047)
−0.039 (0.063)
Production cost
—
0.046 (0.073)
−0.140 (0.109)
Farmer income
—
0.400 (0.076)
0.158 (0.088)
Urbanization rate
—
−0.004 (0.023)
0.003 (0.022)
Financial support
—
−0.003 (0.000)
−0.002 (0.000)
Policy regulation
—
0.038 (0.022)
0.474 (0.116)
Constant term
0.213∗∗∗ (0.013)
0.479 (0.245)
0.952 (0.326)
Region fixed effects
YES
YES
YES
Time fixed effects
NO
NO
YES
F-statistic
22.92
23.01
24.39
R2
0.52
0.64
0.68
Observation
420
420
420
The bracketed figures represent standard errors; ,, and indicate that the corresponding variable passes significance test at 1%, 5%, and 10%, respectively. The following table also means the same.
