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

Table 6.

The impacts of PM10 on work by rural–urban.

Variables Panel A: Impacts of Huai River Policy Panel B: Impacts of PM10 on Work
Rural Urban Rural Urban
(1) (2) (3) (4) (1) (2) (3) (4)
Working near home 0.025 0.027 0.187 *** 0.197 *** 0.045 0.034 0.251 ** 0.185 *
(0.025) (0.025) (0.043) (0.046) (0.055) (0.048) (0.128) (0.098)
Bandwidth 293.338 238.894 310.852 251.616 276.526 204.354 285.683 352.119
Observations 554,756 554,756 247,422 247,422 554,756 554,756 247,422 247,422
Controls Y Y Y Y Y Y Y Y
Kernel Triangular Uniform Triangular Uniform Triangular Uniform Triangular Uniform

Note: Each cell in the table represents a separate estimate or regression. Panel A reports the RD results estimating the impact of the Huai River Policy on work. Panel B reports the fuzzy RD results estimating the impact of 10 μg/m3 of PM10 on work, treating distance from the Huai River as the forcing variable and PM10 as the treating variable, with the Huai River representing a “fuzzy” discontinuity in the level of air pollution exposure. Robust standard errors in parentheses are clustered at the county level. Controls include weather information and sociodemographic variables defined in Table 1. * Significant at 10%; ** significant at 5%; *** significant at 1%.