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. 2022 Jul 18;19(14):8732. doi: 10.3390/ijerph19148732

Table 2.

RD estimates of the impacts of the Huai River Policy.

Variables RD Estimates
(1) (2) (3) (4) (5) (6)
Panel A: Impact of the Huai River Policy on PM10
PM10 11.225 *** 12.137 *** 12.213 *** 11.784 *** 12.603 *** 12.258 ***
(3.459) (3.447) (4.750) (3.367) (3.360) (4.706)
Bandwidth 538.312 500.452 455.471 546.285 507.273 452.124
Panel B: Impact of the Huai River Policy on working near home
Working near home 0.053 ** 0.058 ** 0.064 ** 0.056 ** 0.059 ** 0.059 **
(0.027) (0.028) (0.030) (0.026) (0.028) (0.029)
Bandwidth 274.914 241.226 208.783 279.352 250.149 218.813
Observations 802,178 802,178 802,178 802,178 802,178 802,178
Controls N N N Y Y Y
Kernel Triangular Epanech. Uniform Triangular Epanech. Uniform

Note: Each cell in the table represents a separate RD estimate along the Huai River using local linear regressions with different kernel functions. Robust standard errors in parentheses are clustered at the county level. Controls include weather information and sociodemographic variables defined in Table 1. ** Significant at 5%; *** significant at 1%.