Table 12 Model and result.

From: Mining the impact of social media information on public green consumption attitudes: a framework based on ELM and text data mining

Model

Fixed effect

Random effect

Fixed effect significance

Random effect covariance

\(\begin{array}{l}\log (E|Cogmech_{ti}) = \beta _{00} + \beta _{10}time_{ti} + \beta _{20}sex_{ti}\\ + \beta _{30}zone_{ti} + \beta _{40}CCI_{ti} + \beta _{50}PMG_{ti} + u_{1i}time_{ti} + u_{0i} + \varepsilon _{ti}\end{array}\)

β00 ~ β50

u2i/u3i

β00/β40 significant

(P < 0.05)

No

\(\begin{array}{l}\log (E|Certain_{ti}) = \beta _{00} + \beta _{10}time_{ti} + \beta _{20}sex_{ti}\\ + \beta _{30}zone_{ti} + \beta _{40}CCI_{ti} + \beta _{50}Cogmech_{ti}\\ + u_{2i}sex_{ti} + u_{3i}zone_{ti} + u_{0i} + \varepsilon _{ti}\end{array}\)

β00 ~ β50

u2i/u3i

β10/β40/β50 significant

(P < 0.05)

No

\(\begin{array}{l}\log (E|Affect_{ti}) = \beta _{00} + \beta _{10}time_{ti} + \beta _{20}sex_{ti}\\ + \beta _{30}zone_{ti} + \beta _{40}CCI_{ti} + \beta _{50}PMG_{ti} + \beta _{60}Cogmech_{ti}\\ + \beta _{70}Certain_{ti} + u_{2i}sex_{ti} + u_{0i} + \varepsilon _{ti}\end{array}\)

β00 ~ β70

u2i

β10/β40/β60/

β70 significant

(P < 0.05)

Significant gender/geographic differences