Table 2 Effect of negative emotions on department intervention.

From: The reduction of effective feedback reception due to negative emotions in appeals

 

(1)

(2)

(3)

Emotion

−0.344*** (0.003)

−0.105*** (0.004)

−0.057*** (0.006)

Health

 

0.279*** (0.007)

0.126*** (0.012)

Request

 

0.005 (0.004)

0.012* (0.006)

Truth

 

0.010 (0.006)

0.063*** (0.008)

Emotion×Request

  

−0.010 (0.007)

Emotion×Health

  

0.217*** (0.014)

Emotion×Truth

  

−0.096*** (0.007)

Target

 

0.101*** (0.005)

0.095*** (0.005)

Repeat

 

0.088*** (0.005)

0.086*** (0.005)

Length

 

−0.001*** (0.000)

−0.001*** (0.000)

Department

 

0.079*** (0.004)

0.080*** (0.004)

Type dummy

 

Yes

Yes

Source dummy

 

Yes

Yes

Year dummy

 

Yes

Yes

Province dummy

 

Yes

Yes

Cons

−0.699*** (0.002)

−2.301*** (0.024)

−2.328*** (0.024)

N

2497501

2493326

2493326

Pseudo R2

0.005

0.213

0.214

  1. The dependent variable, Response Suggestion, equals 1 if the department proposes clear intervention measures (such as shutdown, fines, etc.) and 0 otherwise; Emotion equals 1 if negative emotions are included and 0 otherwise; Health equals 1 if health risk information is included and 0 otherwise; Request is a dummy variable equal to 1 if the complainant requests an intervention and 0 otherwise; Truth equals 1 if appeal content is true and 0 otherwise; Repeat equals 1 if the appeal is made more than once and 0 otherwise; Target equals 1 if the negative emotion is aimed at the appeal processing department and 0 otherwise; Length indicates the character length of the appeal content; Department equals 1 if the appeal handling department is at the city level and 0 otherwise; Type represents the dummy variable of different types of appeals, Source represents the dummy variable of appeal source; Year represents the year dummy variable; Province represents the province dummy variable; N is the number of observations; and Pseudo R2 measures the fitness of the regression model. The estimated value of the coefficient indicates the marginal change in the log-odds ratio caused by the increase of one unit of the independent variable. We used the exponential function for calculation and analysis. Robust standard errors are in parentheses.
  2. * p < 0.05, ** p < 0.01, *** p < 0.001.
  3. In the estimation, we first examined the effect of negative emotions without control variables, as shown in Column (1), because the impact of negative emotions may be influenced by other factors. Then, we added control variables to estimate the individual effects (Column (2)) and interaction effects of negative emotions (Column (3)).
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