Research Article

Effect of Energy Development and Technological Innovation on PM2.5 in China: A Spatial Durbin Econometric Analysis

Table 6

Decomposition estimates of the direct, indirect, and total effects.

VariablesDirect effectIndirect effectTotal effect

Distance weight

ln Ei0.2323(0.1155)1.6573 (0.0010)1.8896 (0.0006)
ln Cs0.1012 (0.0158)0.1616(0.1815)0.2628 (0.0718)
ln Ppi-1.1418(0.0062)-1.2932(0.2219)-2.4350 (0.0507)
ln Npi-0.1285 (0.0003)-0.3058 (0.0055)-0.4343 (0.0012)
ln Patent0.0270(0.5692)-0.4464 (0.0006)-0.4194 (0.0040)
ln Infra0.0153(0.7962)-0.3766 (0.0806)-0.3613(0.1181)
ln Market-0.0560 (0.0183)-0.1605 (0.0250)-0.2165 (0.0136)

Adjacent weight

ln Ei0.4738 (0.0059)-0.3154(0.6591)0.1584(0.8446)
ln Cs0.1243 (0.0180)0.7165 (0.0894)0.8408 (0.0663)
ln Ppi-0.9929 (0.0159)-2.6540 (0.0396)-3.6469 (0.0114)
ln Npi-0.1819 (0.0000)-0.5782 (0.0011)-0.7601 (0.0001)
ln Patent-0.0189(0.6949)-0.5025 (0.0443)-0.5214 (0.0559)
ln Infra-0.0126(0.8562)-0.4191(0.1590)-0.4317(0.2006)
ln Market-0.0595 (0.0164)-0.0442(0.6603)-0.1037(0.3700)

Note. , , indicates significance at 10%, 5%, and 1% levels, respectively.