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The Frontiers of Society, Science and Technology, 2019, 1(8); doi: 10.25236/FSST.2019.010806.

Study on Diffusion of Human Resource Technology in Guizhou Province


Jun Liu1,2,*

Corresponding Author:
Jun Liu

1. Anshun city company, Guizhou tobacco company, Anshun, Guizhou 561000, China
2. Guizhou Business College, Guiyang, Guizhou, China
*Corresponding author


Based on classical technology diffusion model, the diffusion model of Human Resource cities in Guizhou province is constructed, and the time path function of the technology diffusion of low carbon cities is deduced. the graphics is S-shaped curve. The results show that because of the differences of internal and external factors and the total number of “potential adopters”, the time path function of Human Resource cities in different regions is different, which shows the difference between different cities to promote the technology.


Human Resource Technology; S-shaped Curve; Technology Diffusion Model

Cite This Paper

Jun Liu. Study on Diffusion of Human Resource Technology in Guizhou Province. The Frontiers of Society, Science and Technology (2019) Vol. 1 Issue 8: 36-40. https://doi.org/10.25236/FSST.2019.010806.


[1] World Resources Institute (2010). Climate analysis indicators tool. New York, U. S. A. WRI, pp.3-4.
[2] Malla S (2009). CO2 emissions from electricity generation in seven Asia-Pacific and North American countries: A decomposition analysis. Energy Policy, no.37, pp.1-9.
[3] Blanford G J, Richels R G, Rutherford T. F (2008). Revised emissions growth projections for China: why post-kyoto climate policy must look east. USA: Harvard Project on International Climate Agreements, pp.2-6.
[4] Pachauri R. K., Reisinger A (2007). Climate change 2007: synthesis report. Geneva , Switzerland : Intergovernmental Panel on Climate Change, pp.1-5.
[5] Intergovernmental Panel on Climate Change (2006). 2006 IPCC guidelines for national greenhouse gas inventories. Japan: the Institute for Global Environmental Strategies (IGES).
[6] Liang Dan (2005). Progress in research on technology diffusion. Research management, vol.26, no.4, pp.29-34.