Table 7.
Random Effects Regression Analysis of the Influence of Configurations on Highly Risky Emissions
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
| AF-AMER* LOWINC | .039* (.020) | |||
| AF-AMER* LATINO | .037* (.021) | |||
| AF-AMER* SIZE* BRANCH | .087** (.026) | |||
| LATINO* LOWINC* BRANCH | .029** (.011) | |||
| Percent Manufacturing | .001 (.000) | .001* (.000) | .001* (.000) | .001 (.000) |
| Metropolitan Area (1 = yes) | .007 (.008) | .008 (.009) | .008 (.008) | .007 (.009) |
| Median Property Value | −.005 (.006) | −.005 (.006) | −.002 (.004) | −.004 (.005) |
| Industrial Inorganic Chemicals | .012* (.007) | .013* (.007) | .009* (.005) | .013* (.007) |
| Plastics | .014* (.007) | .015* (.008) | .011* (.006) | .015* (.008) |
| Drugs | −.007 (.009) | −.007 (.009) | −.008 (.010) | −.007 (.010) |
| Soaps and Detergents | −.002 (.002) | −.001 (.001) | −.003 (.004) | −.001 (.001) |
| Paints | −.005 (.006) | −.004 (.006) | −.003 (.008) | −.004 (.007) |
| Industrial Organic Chemicals | .001 (.002) | .002 (.002) | .003 (.004) | .002 (.003) |
| Agricultural Chemicals | −.005 (.005) | −.002 (.004) | −.003 (.006) | −.003 (.004) |
| Chemicals On-Site | .004** (.000) | .004** (.000) | .004** (.000) | .004** (.000) |
| Constant | .464*** | .474*** | .461*** | .471*** |
| R2 | .113 | .109 | .136 | .119 |
| N | 2,053 | 2,053 | 2,053 | 2,053 |
Note: The configurations are entered in “raw” form (i.e., min(x1,x2, … xn). Models also include the main effects of these configurations’ conditions, which are entered in “set” form (i.e., ranging from 0 to 1). For presentational purposes, the main effects are not reported here.
*
p < .05;
**
p < .01 (one-tailed test).