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Empirical Analysis on the Treatment and Working Conditions of Grass-Root Agricultural Technique Extension Personnel: A Case Study on Grass-Root Agricultural Technique Extension Personnel in Hubei Province

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 209))

Abstract

This paper gives a survey to the treatment of the agricultural technology extension personnel and analyzes its degree of the work secure minds, which can provide foundation for formulating the corresponding policy. This paper gives a corresponding correlation regression analysis through Eviews software among the treatment of the agricultural technology extension personnel, the work satisfaction of the agricultural technology extension personnel, the correlation degree of the work satisfaction. It shows that the salary is significantly positive with degree of the work secure minds of the agricultural technology extension personnel and the degree of the work satisfaction, but has significant negative correlation with the second career personnel.It is an important measure of promoting the agricultural extension system development in China’s grass-root agricultural to promote the system, to solve the job establishment of the agricultural technology extension personnel, to implement the performance management, to introduce the quality management.

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References

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© 2011 Springer-Verlag Berlin Heidelberg

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Liu, Z., Wang, F. (2011). Empirical Analysis on the Treatment and Working Conditions of Grass-Root Agricultural Technique Extension Personnel: A Case Study on Grass-Root Agricultural Technique Extension Personnel in Hubei Province. In: Zhou, Q. (eds) Advances in Applied Economics, Business and Development. ISAEBD 2011. Communications in Computer and Information Science, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23020-2_33

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  • DOI: https://doi.org/10.1007/978-3-642-23020-2_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23019-6

  • Online ISBN: 978-3-642-23020-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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