Thinking of that the counties and cities with rainfall fluctuations about 0.3 inThinking of that

Thinking of that the counties and cities with rainfall fluctuations about 0.3 in
Thinking of that the counties and cities with rainfall fluctuations around 0.3 in column (6) are artificially divided into remedy groups and control groups, the impact of your snow disaster will be overestimated. As a result, we mainly analyze column (5) inside the baseline benefits.Int. J. Environ. Res. Public Well being 2021, 18,9 ofTable 4. Baseline estimations: Effect from the snow disaster around the GAD index. Variabless Raini(1) Green(2) Green(three) Green(4) Green(5) Green(6) GreenPostt-0.008 (0.001)-0.013 (0.001)-0.013 (0.001) -0.007 (0.008)0.003 (0.002)-0.012 (0.001)0.012 (0.008) 0.007 (0.002)-0.012 (0.001)0.012 (0.009) 0.007 (0.002)-0.018 (0.002)0.004 (0.009) 0.007 (0.002)POP Machinery Initially Second Expend Invest County repair Time fix Obs R2 Counties No Yes 39,270 0.694 2078 Yes Yes 39,270 0.695-0.031 (0.002) -0.005 (0.001)-0.028 (0.002)0.001 (0.001)-0.029 (0.002)0.001 (0.001)-0.027 (0.002)0.001 (0.002)-0.042 (0.002)-0.043 (0.002)0.001 (0.001)-0.043 (0.002)0.0004 (0.001) Yes Yes 38,186 0.699Yes Yes 38,354 0.698Yes Yes 38,331 0.700Yes Yes 38,142 0.701Notes: denotes significance at 1 . All control variables, person fixed effects, and time fixed effects are included in all specifications. Obs denotes observations.The baseline regression outcomes show that the snow disaster has substantially decreased the amount of GAD. Taking the result of column (5) as an instance, it shows that the snow disaster brought on an typical decrease of 0.012 inside the GAD index within the extended run. Based on the typical worth with the GAD index of 0.39 within the total sample, the level of GAD has dropped by 3.07 . At the exact same time, we found that other handle variables have little impact on the amount of green agriculture except for agriculture-related variables. This result shows that the GAD does not totally depend on the general economic level and government intervention is reasonably independent. 5.2. Robust Checks To further confirm the robustness in the baseline estimation, we conduct robust checks from the following ten aspects. five.2.1. Parallel Trend To test the effectiveness from the DID Inositol nicotinate Formula method, we carried out a parallel trend test on the sample, along with the results are shown in Figure 2. The outcomes in Figure 2 show that ahead of the snow disaster, there was no significant distinction within the level of GAD between the manage group as well as the remedy group. Following the snow disaster, the GAD amount of the remedy group was drastically lower than that of the manage group inside the second and sixth phases. This outcome shows that there is no prior effect, which satisfies the parallel trend hypothesis. 5.two.two. Adding Time Trend Some scholars believe that the time trend item is of good significance in the time series [10], and adding the time trend item can improved handle some 2-Bromo-6-nitrophenol custom synthesis aspects that modify more than time. Column (1) in Table five reports the outcomes right after adding the time trend item. The results5.2. Robust ChecksInt. J. Environ. Res. Public Well being 2021, 18,To additional verify the robustness from the baseline estimation, we conduct robust checks 10 of 22 in the following ten elements.5.two.1. Parallel Trend s showTo test the effectiveness from the DID of Raini Postt is significantly adverse, as well as the that at the 1 level, the coefficient process, we performed a parallel trend test around the coefficient worth (-0.012) is shown in because the baseline estimations. sample, and also the final results would be the same Figure two.Figure 2. Parallel trend test of GAD index. Figure 2. Parallel trend test of GAD index.Table T.