State and Agents in China: Disciplining Government Officials by Yongshun Cai

Author:Yongshun Cai [Cai, Yongshun]
Language: eng
Format: epub
Tags: Political Science, General
ISBN: 9780804793520
Google: gU5IBQAAQBAJ
Goodreads: 35191872
Publisher: Stanford University Press
Published: 2014-12-10T00:00:00+00:00

SOURCE: Data set created by Lin Zhu and Yongshun Cai.

NOTES: “–” means the sign is negative and the coefficient is statistically significant (at 0.01); “+” means the sign is positive and the coefficient is statistically significant (at 0.01).

The control variables, except for the severity of crime and Type 3 crimes, have no significant effect on the severity of penalty. The magnitude of corruption increases the probability of being more severely punished. In other words, officials whose corruption involves a larger amount of money are more likely to be severely punished. The effect of the time trend is significantly negative, suggesting that the probability of receiving a severe penalty decreases each year.

In order to better show the nonlinear relationship between the rank of the corrupt official and the severity of the imposed penalty, Figure 5.1 presents the predicted probability of the punishment for officials of different ranks.71 The probability of receiving a “fixed term of imprisonment,” which is the least severe penalty, is relatively low for both staff or clerks and officials at the rank of vice governor or higher. If these officials’ likelihood of being given a less severe punishment is lower, their likelihood of being severely punished will be higher (the total probability is 1). Compared to officials at the rank of deputy county head, officials at the lowest and highest ranks are both more likely to receive a severe punishment. This pattern shows that state authority tends to severely punish corrupt higher-level officials, probably to strengthen the deterrent effect. In addition, lowest-ranking officials are likely to be severely punished, perhaps because doing so is less costly.

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