Analysis Changing of Software Requirements on Control Systems of Chinese Performance Evaluation

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This paper including: Question proposed, literature reviewed, proposed the hypotheses, data collection, building modeling, data showed and conclusion. For an interesting phenomenon of China before 2009, the qualitative score decide the evaluation last scores in whole public sectors. But after 2009, 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, but the qualitative score become the negative correlation factors of performance score. Why such a change will happen One of the reasons is the new evaluation control software is adopted, the new public policy and its tools of Chinese public performance management are making by evaluation departments during 2009 to 2010. The paper shows 4 kinds of performance improvement software tools. The paper use the econometrics and thinking about performance evaluation control software and its practice of local government, makes quantitative analysis by evaluation original data of performance. This paper research about the relationship between total score of Chinese-style performance evaluation and the ratio of quantitative score which showing itself as positive sequel, and the two cave are almost the same level while the paper gets value of data’s log, which proves that the evaluation index of quantitative become affects the evaluation total scores strongly (Coefficient: 0.81). The paper builds the evaluation model in 2009 and shows a software requirements changing map of performance evaluation control in China.

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Advanced Materials Research (Volumes 433-440)

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1776-1782

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Layne K., & Lee J. Developing fully functional e-government: A four-stage model, Government Information Quarterly, 18, 122-136, (2001).

DOI: 10.1016/s0740-624x(01)00066-1

Google Scholar

[2] McTigue, Ellig, and Richardson, 5th Annual Performance Report Scorecard: Which Agencies Best Inform the Public?, April (2004).

DOI: 10.21236/ada385878

Google Scholar

[3] Paul J. Longo, The Performance Blueprint, An Integrated Logic Model Developed to Enhance Performance Measurement Literacy: The Case of Performance-Based Contract Management. 2002 Annual Conference of the American Evaluation Association, November 6-10, (2002).

Google Scholar

[4] Poister, T.H. A Study of performance Measurement Systems in State Transportation Departments., Public Works Management & Policy 1(4): 323-341, (1997).

DOI: 10.1177/1087724x9700100405

Google Scholar

[5] Poister, T.H. and Gregory Streib, Performance Measurement in Municipal Government: Assessing the State of the Practice, Public Administration Review, 1999, 59(4): 225-335.

DOI: 10.2307/3110115

Google Scholar

[6] Saac-Henry, Kester, Chris Painter and Chris Barnes ed. Management in the Public Sector: Challenge and Change (Second edition)[M]. London: Thomson Business Press, 1997, pp.89-92.

Google Scholar

[7] Urban Institute and ICMA, Comparative Performance Measurement : FY 1995 Data Report. Washington, DC: Urban Institute and ICMA, (1997).

Google Scholar

[8] Fenwick John. Managing Local Government [M]. London: Chapman and Hall, 1995. pp.104-143.

Google Scholar

[9] Flynn Norman. Public Sector Management [M]. Third Edition. Prentice Hall. 173.

Google Scholar

[10] Robert S. Kaplan and David P. Norton. The Balanced Scorecard –Measures That Drive Performance. Harvard Business Review[J]. 1992, (1-2): 71-79.

Google Scholar

[11] Fitzgerald, L., Johnston, R., Brignal, S., Silvestro, R. and Voss, C., Performance Measurement in Service Businesses [M], The Chartered Institute of Management Accountants, Unwin, Surrey, (1991).

Google Scholar

[12] Hatry, Harry P. 1978. The Status of Productivity Measurement in the public Sector., Public Administration Review 38(1): 28-33.

DOI: 10.2307/975407

Google Scholar

[13] Kimberly Speers. Performance Measurement in the Government of Alberta: Truth or Propaganda, Presented to the Canadian Political Science Association Annual Conference, University of Manitoba, Winnipeg, Manitoba, June 5-7 (2004).

Google Scholar

[14] Maddala, G. S. Introduction to Econometrics, Third Edition, Prentice-Hall, (2000).

Google Scholar

[15] Gujarati, D. N Basic Econometrics, Third Edition, McGraw Hill, (1995).

Google Scholar

[16] Pindyck, R. S. and Rubinfield, D. L. , Econometric Models and Economic Forecasts, (1998).

Google Scholar

[17] McGraw Hill. Very good coverage of time series, cointegration, and simultaneous equation models.

Google Scholar

[18] Ghosh, S. K. Econometrics: Theory and Applications, Prentice Hall. (1991).

Google Scholar

[19] Johnston, J and J DiNardo. Econometric Methods, Mc Graw-Hill, (1997).

Google Scholar