Table 1 Adjusted odds ratios (AORs) from multivariate logistic regressions for each NACE 1-digit industry sector analyzing the association between firm transition status and firm characteristics averaged over the observation period

From: Using firm-level supply chain networks to measure the speed of the energy transition

 

fossil cost share \({\overline{fc}}_{i}\)

electricity cost share \({\overline{ec}}_{i}\)

revenue \({\overline{R}}_{i}\)

employment \({\overline{em}}_{i}\)

total consumption \({\overline{T}}_{i}\)

Sector

AOR

95% CI

AOR

95% CI

AOR

95% CI

AOR

95% CI

AOR

95% CI

A

0.964** (0.0093)

0.939, 0.991

0.992 (0.1096)

0.981, 1.002

0.946** (0.0029)

0.912, 0.981

0.993 (0.3808)

0.978, 1.009

1.062*** (0.0009)

1.025, 1.100

C

0.915*** ( < 0.0001)

0.902, 0.929

1.008* (0.0201)

1.001, 1.014

0.916*** ( < 0.0001)

0.898, 0.934

1.002 (0.7161)

0.993, 1.010

1.082*** ( < 0.0001)

1.062, 1.103

E

0.992 (0.7900)

0.936, 1.052

1.009 (0.4881)

0.983, 1.036

1.038 (0.3208)

0.964, 1.118

0.949* (0.0146)

0.910, 0.990

0.996 (0.9140)

0.926, 1.071

F

0.969** (0.0013)

0.950, 0.988

1.004 (0.3103)

0.996, 1.013

0.962** (0.0031)

0.937, 0.987

1.004 (0.6087)

0.990, 1.018

1.037** (0.0039)

1.012, 1.063

G

0.922*** ( < 0.0001)

0.912, 0.933

1.017*** ( < 0.0001)

1.012, 1.023

0.941*** ( < 0.0001)

0.927, 0.956

0.982*** ( < 0.0001)

0.974, 0.990

1.083*** ( < 0.0001)

1.066, 1.101

H

0.970. (0.0977)

0.936, 1.006

1.010 (0.1284)

0.997, 1.023

0.976 (0.3176)

0.931, 1.024

0.985 (0.2192)

0.962, 1.009

1.030 (0.1714)

0.987, 1.076

I

0.899*** ( < 0.0001)

0.881, 0.917

1.030*** ( < 0.0001)

1.018, 1.042

0.912*** ( < 0.0001)

0.885, 0.940

1.014. (0.0876)

0.998, 1.030

1.082*** ( < 0.0001)

1.051, 1.114

J

0.926*** (0.0004)

0.888, 0.966

1.051*** ( < 0.0001)

1.025, 1.078

0.962 (0.2086)

0.906, 1.022

1.019 (0.1487)

0.993, 1.046

1.016 (0.5928)

0.959, 1.077

L

0.938*** ( < 0.0001)

0.925, 0.951

1.032*** ( < 0.0001)

1.023, 1.041

0.959*** ( < 0.0001)

0.942, 0.977

0.994 (0.1983)

0.984, 1.003

1.035*** (0.0001)

1.017, 1.053

M

0.929*** ( < 0.0001)

0.909, 0.949

1.047*** ( < 0.0001)

1.034, 1.059

0.965* (0.0137)

0.939, 0.993

0.989 (0.1475)

0.975, 1.004

1.043** (0.0046)

1.013, 1.074

N

0.964* (0.0242)

0.934, 0.995

1.045*** ( < 0.0001)

1.027, 1.063

1.008 (0.7097)

0.965, 1.053

1.006 (0.5306)

0.988, 1.024

0.987 (0.5339)

0.947, 1.029

P

0.797** (0.0091)

0.671, 0.945

1.003 (0.9327)

0.932, 1.080

0.782* (0.0290)

0.627, 0.975

0.942 (0.1084)

0.876, 1.013

1.293* (0.0230)

1.036, 1.614

Q

0.821* (0.0218)

0.694, 0.972

1.067. (0.0767)

0.993, 1.146

0.877 (0.2390)

0.705, 1.091

1.017 (0.5125)

0.968, 1.068

1.134 (0.2397)

0.919, 1.399

R

0.938* (0.0121)

0.893, 0.986

1.045** (0.0014)

1.017, 1.074

0.981 (0.5506)

0.922, 1.044

0.959* (0.0103)

0.930, 0.990

1.025 (0.4489)

0.962, 1.091

S

0.925** (0.0032)

0.878, 0.974

1.031* (0.0225)

1.004, 1.059

0.921* (0.0270)

0.856, 0.991

1.040* (0.0190)

1.006, 1.074

1.032 (0.3703)

0.963, 1.106

  1. For each characteristic and sector, the table reports the AOR associated with a 10% increase in the corresponding log-transformed firm characteristic, computed as e0.1β and the accompanying 95% confidence interval (95% CI). Exact p-values are reported in parentheses in the AOR column (to four decimal places, or as p < 0.0001 when smaller), and statistical significance is additionally indicated by superscript symbols (*** p < 0.001, ** p < 0.01, * p < 0.05,. p < 0.1). Statistical significance was assessed using two-sided Wald tests. No adjustment was made for multiple comparisons. Firm characteristics include average fossil cost share, \({\overline{fc}}_{i}\), average electricity cost share, \({\overline{ec}}_{i}\), average revenue, \({\overline{R}}_{i}\), average employment, \({\overline{em}}_{i}\), and average total energy consumption, \({\overline{T}}_{i}\). Sectors ’B - Mining and Quarrying’ and ’O - Public administration and defense; compulsory social security’ were excluded due to insufficient sample size for reliable estimation.
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