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. 2022 Dec 9;84(4):877–918. doi: 10.1007/s10640-022-00741-7

Table 3.

IV Estimates—the effect of green and digital technologies on regional emissions

(1) (2) (3)
Green Tech. (log) [Instrumented] −1.102*** −2.178*** −2.220***
(0.110) (0.255) (0.256)
Digital Tech. (log) 2.019*** 2.887***
(0.383) (0.549)
Green [Instr.] × Digital Tech. (log) −0.184***
(0.070)
Population (log) 3.928*** 4.113*** 4.112***
(0.104) (0.112) (0.112)
Value Added Manuf. (log) 1.347*** 1.454*** 1.445***
(0.155) (0.156) (0.156)
Dirty Units (log) 0.054 0.050 0.052
(0.033) (0.033) (0.033)
Intermediate 0.276 0.022 0.009
(0.179) (0.186) (0.186)
Rural −0.118 −0.500** −0.497**
(0.201) (0.216) (0.215)
Pre-sample Mean GHG (log) 0.390*** 0.403*** 0.403***
(0.008) (0.009) (0.009)
Year Dummies Yes Yes Yes
# Observations 10,510 10,510 10,510
Adjusted R2 0.399 0.401 0.401
Over-identification Test [χ2 (p-value)] 1.900 2.259 2.158
(0.168) (0.133) (0.142)

First step estimates in Table 8. Robust standard errors in parentheses, clustered at metroregion-level: ***, **, *, indicate significance at the 1%, 5% and 10% level, respectively