The Influential Factors on the Attraction of Outstanding Scientific and Technological Talents in Developed Cities in China
Abstract
:1. Introduction
2. An Evaluation Model of the Attraction of Developed Cities to Outstanding Scientific and Technological Talents
3. Analysis and Comparison of the Attraction of Developed Cities to Outstanding Scientific and Technological Talents
4. Discussion and Conclusions
- (1)
- A good public service system is an important factor that affects the concentration of science and technology talents. In terms of the overall evaluation value of the criteria layer, the evaluation level of urban ecological attraction is much higher than that of human resource ecological development, which shows that the economic level and living environment are the basic guarantees to attract and retain talents. Hence, it is quite necessary to make a personalized public service plan according to the demands of different types of scientific and technological talents, which may effectively promote the introduction work to be more efficient and professional. High-end talents from home and abroad need a good scientific research environment, an innovative scientific atmosphere, and the realization of their value.
- (2)
- It is worth mentioning that in addition to the political environment provided by the government, the culturally inclusive environment of companies is also a very important factor in attracting talents. Creating a good environment in enterprises that encourage innovation and tolerate failures can open new paths for cultivating outstanding scientific and technological talents. Hence, it is important to provide related policies to support innovative companies to create a better environment that can tolerate failures. In terms of policy implementation, it is necessary to strengthen the support for failed enterprises, promote the effective implementation of relevant policies, and truly encourage companies to develop innovatively and accelerate the breakthrough of talent innovation. Thus, the goal of effectively enhancing the attraction of the city to outstanding scientific and technological talents can be realized.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Target Layer | Criterion Layer | Secondary Rule Layer | Index Layer |
---|---|---|---|
The attraction of developed cities to outstanding scientific and technological talents (V) | Urban ecological attraction (S1) | Level of economic development (T1) | Primary sector of the economy (F1) |
Secondary sector of the economy (F2) | |||
Tertiary sector of the economy (F3) | |||
Total energy consumption per unit area (F4) | |||
Output value per unit of electricity consumption (F5) | |||
GDP per capita (F6) | |||
GDP growth rate (F7) | |||
Quality of living environment (T2) | Good rate of ambient air quality (F8) | ||
Per capita daily water consumption (F9) | |||
Per capita area of park green space (F10) | |||
Public health services (T3) | There are doctors for every 10,000 people (F11) | ||
The number of beds per 10,000 people (F12) | |||
Basic Social Security (T4) | Per capita area of urban residents (F13) | ||
Average selling price of commercial housing (F14) | |||
Participation rate of endowment insurance (F15) | |||
Unemployment insurance participation rate (F16) | |||
Participation rate of urban medical insurance (F17) | |||
The attraction of ecological development of talents (S2) | Level of scientific and technological development (T5) | R&D internal expenditure as a percentage of GDP (F18) | |
Number of research and development institutions (F19) | |||
The realization of the value of talents (T6) | Number of patents granted per 10,000 population (F20) | ||
The number of books per capita (F21) | |||
Carrier of educational innovation (T7) | Number of institutions of higher learning (F22) | ||
Teacher Resources in institutions of higher learning (F23) | |||
Human ecological environment (T8) | Proportion of cultural and fiscal expenditure (F24) | ||
Proportion of urban residents’ expenditure on culture and entertainment (F25) |
Index Layer | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Primary sector of the economy (F1) | 0.1783 | 0.2189 | 0.1999 | 0.2010 | 0.2019 |
Secondary sector of the economy (F2) | 0.1944 | 0.1895 | 0.2042 | 0.1989 | 0.2131 |
Tertiary sector of the economy (F3) | 0.1960 | 0.1871 | 0.1975 | 0.2042 | 0.2152 |
Total energy consumption per unit area (F4) | 0.1794 | 0.1818 | 0.2015 | 0.2114 | 0.2259 |
Output value per unit of electricity consumption (F5) | 0.2180 | 0.1883 | 0.1923 | 0.1965 | 0.2050 |
GDP per capita (F6) | 0.1770 | 0.1812 | 0.2008 | 0.2106 | 0.2304 |
GDP growth rate (F7) | 0.2812 | 0.2798 | 0.2046 | 0.1670 | 0.0674 |
Good rate of ambient air quality (F8) | 0.1981 | 0.1966 | 0.2013 | 0.1979 | 0.2061 |
Per capita daily water consumption (F9) | 0.1940 | 0.1986 | 0.1997 | 0.2031 | 0.2046 |
Per capita area of park green space (F10) | 0.2084 | 0.2050 | 0.1990 | 0.1989 | 0.1887 |
There are doctors for every 10,000 people (F11) | 0.1989 | 0.2027 | 0.2026 | 0.2046 | 0.1911 |
The number of beds per 10,000 people (F12) | 0.2012 | 0.1970 | 0.1971 | 0.1949 | 0.2098 |
Per capita area of urban residents (F13) | 0.1895 | 0.1891 | 0.2055 | 0.2085 | 0.2074 |
Average selling price of commercial housing (F14) | 0.2002 | 0.2050 | 0.2001 | 0.2000 | 0.1947 |
Participation rate of endowment insurance (F15) | 0.2029 | 0.2015 | 0.1979 | 0.1979 | 0.1998 |
Unemployment insurance participation rate (F16) | 0.2039 | 0.2025 | 0.1988 | 0.1962 | 0.1985 |
Participation rate of urban medical insurance (F17) | 0.2030 | 0.2015 | 0.1979 | 0.1977 | 0.1999 |
R&D internal expenditure as a percentage of GDP (F18) | 0.2232 | 0.2072 | 0.1946 | 0.1923 | 0.1827 |
Number of research and development institutions (F19) | 0.1720 | 0.1913 | 0.2065 | 0.2094 | 0.2209 |
Number of patents granted per 10,000 population (F20) | 0.1562 | 0.1676 | 0.2077 | 0.2209 | 0.2476 |
The number of books per capita (F21) | 0.2297 | 0.2219 | 0.1948 | 0.1858 | 0.1678 |
Number of institutions of higher learning (F22) | 0.2213 | 0.2086 | 0.1963 | 0.1904 | 0.1835 |
Teacher Resources in institutions of higher learning (F23) | 0.1744 | 0.1897 | 0.2045 | 0.2115 | 0.2198 |
Proportion of cultural and fiscal expenditure (F24) | 0.1658 | 0.1690 | 0.1906 | 0.1875 | 0.2872 |
Proportion of urban residents’ expenditure on culture and entertainment (F25) | 0.2251 | 0.2228 | 0.2069 | 0.2092 | 0.1359 |
Secondary Rule Layer | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Level of economic development (T1) | 1.3398 | 1.3827 | 1.2581 | 1.2392 | 1.1850 |
Quality of living environment (T2) | 0.5967 | 0.5822 | 0.5718 | 0.5596 | 0.5754 |
Public health services (T3) | 0.3253 | 0.3276 | 0.3406 | 0.3648 | 0.4009 |
Basic Social Security (T4) | 0.9464 | 0.9534 | 0.9702 | 0.9914 | 0.9957 |
Level of scientific and technological development (T5) | 0.2924 | 0.3051 | 0.3445 | 0.3543 | 0.4036 |
The realization of the value of talents (T6) | 0.2605 | 0.2830 | 0.3185 | 0.3487 | 0.4154 |
Carrier of educational innovation (T7) | 0.2880 | 0.3022 | 0.3474 | 0.3589 | 0.4033 |
Human ecological environment (T8) | 0.3149 | 0.2942 | 0.3177 | 0.3093 | 0.3747 |
Criterion Layer | City | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|
Urban ecological attraction (S1) | Shenzhen | 0.4219 | 0.4277 | 0.4112 | 0.4121 | 0.4104 |
Shanghai | 0.4015 | 0.4069 | 0.4174 | 0.4106 | 0.4120 | |
Beijing | 0.4092 | 0.4190 | 0.4297 | 0.4192 | 0.4215 | |
Guangzhou | 0.4112 | 0.4026 | 0.3844 | 0.4223 | 0.3921 | |
The attraction of ecological development of talents (S2) | Shenzhen | 0.1443 | 0.1481 | 0.1660 | 0.1715 | 0.1998 |
Shanghai | 0.1684 | 0.1730 | 0.1750 | 0.1845 | 0.1918 | |
Beijing | 0.1675 | 0.1686 | 0.1738 | 0.1917 | 0.1897 | |
Guangzhou | 0.1647 | 0.1675 | 0.1765 | 0.1841 | 0.1911 |
Target Layer | City | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|
The attraction of developed cities to outstanding scientific and technological talents (V) | Shenzhen | 0.2553 | 0.2599 | 0.2641 | 0.2678 | 0.2841 |
Shanghai | 0.2617 | 0.2666 | 0.2720 | 0.2749 | 0.2799 | |
Beijing | 0.2642 | 0.2687 | 0.2761 | 0.2827 | 0.2824 | |
Guangzhou | 0.2633 | 0.2615 | 0.2596 | 0.2794 | 0.2715 |
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Luo, J.; Zhu, K. The Influential Factors on the Attraction of Outstanding Scientific and Technological Talents in Developed Cities in China. Sustainability 2023, 15, 6214. https://doi.org/10.3390/su15076214
Luo J, Zhu K. The Influential Factors on the Attraction of Outstanding Scientific and Technological Talents in Developed Cities in China. Sustainability. 2023; 15(7):6214. https://doi.org/10.3390/su15076214
Chicago/Turabian StyleLuo, Jianwen, and Kaikai Zhu. 2023. "The Influential Factors on the Attraction of Outstanding Scientific and Technological Talents in Developed Cities in China" Sustainability 15, no. 7: 6214. https://doi.org/10.3390/su15076214