Alarm the quickly changing of performance evaluation decisive indexes—qualitative to quantitative?

He Jian-Long () and Shi Zhong-Ke ()

Quality & Quantity: International Journal of Methodology, 2013, vol. 47, issue 1, 27-37

Abstract: This paper research about a special phenomenon and what is the main fators which is decided the evaluation total scores of local government in diferent years of China. The contents of the paper included introduction, hypothesis and research methodology, data and quantitative model, editing data, analyzing data, data showed and conclusion. The paper tests the new hypothesis of the quantitative evaluation, and it is right that new public policy and its tools of public management are effectively in China, so the situation is changed that the quantitative evaluation becomes the decisive factor in the performance total score by the model of original evaluation data analysis. The following public policy is effective in the year of China local government: the new public policy increases strength of evaluation; the new public policy deal with the weakness of evaluation before 2009; make new public policy to fight threats of evaluation; and make new policy for opportunities of evaluation. The paper also tests the hypothesis of the quantitative evaluations and which fator is positive correlated with results of performance, the quantitative evaluation is the decisive factors of evaluation scores in local governments of China by the years of changing. This paper research about the ratio of quantitative scores and the relationship between different fators of Chinese-style performance evaluation, and the data showing that the caves of related fators are almost the same level, it is proved that the reason of the qualitative scores become the negative correlation factors of performance score after 2009. At last, the paper builds the evaluation model by econometrics and thinking about performance evaluation practice of Chinese local governments as following: $${\begin{array}{ll}Y=0.23+0.81_{1} Y_{1} -0.18Y_{2} +0.44Y_{3} +0.01Y_{4} +e_{t2}\\ \hspace*{2.7pc}(0.35) \hspace*{1.2pc}(0.07) \hspace*{1.2pc} (0.05)\hspace*{1.2pc} (0.06) \hspace*{1.2pc} (0.0003)\\ \hspace*{6pc}{N}={12\quad R^2}=0.99\end{array}}$$ The value of constant 0.23 means Y = exp 0.23 × 10 9 while every variable goes back to zero. The value of Y will be increase 0.81%, −0.18%, 0.44%, 0.01% while Y 1 , Y 2 , Y 3 , Y 4 increase 1%, and the prefer condition is that the other variables are not change. The article shows a changing map of performance evaluation in China. Copyright Springer Science+Business Media B.V. 2013

Keywords: Management science and engineering; Performance evaluation; Quantitative model (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/s11135-011-9482-5

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