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Coefficients of spatial regression for locational determinants of waste emissions from pollution-intensive firms in Huzhou City, China (N = 717).

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NIAID Data Ecosystem2026-03-08 收录
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https://figshare.com/articles/dataset/_Coefficients_of_spatial_regression_for_locational_determinants_of_waste_emissions_from_pollution_intensive_firms_in_Huzhou_City_China_N_717_/1400205
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**p<0.01 Abbreviations: distance to the city boundary (D_city); distance to Taihu Lake (D_lake); distance to highway (D_high), distance to national road (D_national), distance to provincial road (D_provincial), distance to county road (D_county), and distance to freight transfer station (D_station); distance to the West Tiaoxi River (D_wriver); distance to the East Tiaoxi River (D_eriver); population density (Pop); ownership (Own); privately owned (private); state owned firms (state); foreign owned (foreign); non-state owned limited (limited); collectives (collectives); public-listed (public); operation time (T_operation); firm size (Size); resource intensive (resource); labor intensive (labor); capital intensive (capital); technology and knowledge intensive (technology); ns: no significant. Coefficients of spatial regression for locational determinants of waste emissions from pollution-intensive firms in Huzhou City, China (N = 717).
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2015-04-30
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