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A comparative study of the contribution of talent resources to economy in typical national high-tech zones
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Science & Technology Review | 2020, 38(13) : 104 - 112
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Science & Technology Review | 2020, 38(13): 104-112
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A comparative study of the contribution of talent resources to economy in typical national high-tech zones
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WANG Kaile, XIONG Yonglan, GONG Qingbin
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    Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041, China
Published: 2020-07-13 doi: 10.3981/j.issn.1000-7857.2020.13.012
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Based on the classical Cobb-Douglas production function, a potential analysis model is used to improve the measurement method of the talent contribution rate, to overcome the defect that the original model could not measure the instantaneous elasticity coefficient, and to improve the accuracy of the estimation at the same time. The multivariate regression analysis of the panel data of six typical national high-tech zones shows that the main factor affecting the contribution rate of the talents is the quality of the talents, and the key to improving the quality of the talents is to create a good soft environment for the talent development. Through the empirical comparison analysis of six high-tech zones, the driving factors affecting the talent contribution rate are explored, and suggestions for the formulation of high-tech zone policies are put forward.
talent contribution rate  /  Hi-tech Zone  /  resources of talents
WANG Kaile, XIONG Yonglan, GONG Qingbin. A comparative study of the contribution of talent resources to economy in typical national high-tech zones[J]. Science & Technology Review, 2020 , 38 (13) : 104 -112 . DOI: 10.3981/j.issn.1000-7857.2020.13.012
Year 2020 volume 38 Issue 13
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doi: 10.3981/j.issn.1000-7857.2020.13.012
  • Receive Date:2019-06-17
  • Online Date:2020-08-05
  • Published:2020-07-13
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  • Received:2019-06-17
  • Revised:2019-11-22
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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