An Investigation into Sichuan Province's Technological Innovation Talent Development Environment Using the AHP-FCE Methodology
DOI:
https://doi.org/10.54097/ajst.v7i2.11774Keywords:
Analytic Hierarchy Process, Fuzzy Comprehensive Evaluation, High-Quality Development, Development Environment for Technology Talent.Abstract
The role of technology talent in driving technological innovation and sustainable development cannot be overstated. This paper aims to delve into the development environment of technology innovation talent, utilizing the AHP-FCE method for assessment. By analyzing Sichuan Province as a case study, it uncovers the overall trends and achievements in the development environment of technology innovation talent, with a particular emphasis on the pivotal roles of technological innovation conditions and the employment and entrepreneurship environment. To optimize the development environment for technology innovation talent, this study puts forth policy recommendations including strengthening ecological awareness, enhancing mechanisms for talent cultivation and attraction, fostering industry-academia-research collaboration, and bolstering policy support. Through this research, valuable insights are provided to drive technological innovation in Sichuan Province, stimulate economic advancement, and promote sustainable development.
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Cui Hongyi, Pan Mengqi, Zhang Chao. Analysis on the development environment of science and technology innovation talents in Shenzhen based on principal component analysis [J]. Science and Technology Progress and Countermeasures, 2020, 37(7): 35-42.
Wang Shao. Status, compliance and essential requirements of scientific and technological talent evaluation [J]. Scientific Management Research, 2019, 37(4): 142-145.
Tian Xingguo, LV Jianqiu, HUANG Junyan, et al. A study on the cognition and reform intention of university teachers on the development environment of innovative scientific and technological talents: Based on an empirical survey of 61 universities in China [J]. Science and Technology Management Research, 2017, 37(6): 106-111.
Li Xin, FAN Mingjie, Yang Zoli,et al. Environmental factors affecting the development of science and technology talents based on Structural equation model [J]. China Science and Technology Forum, 2018(8): 147-154.
Xiao Mingzheng, Han Chaochu. Analysis and Optimization Suggestions of China’s talent development Environment [J]. Chinese Talent, 2019(8): 42 -- 43.
Li Xuhui, Xia Wanjun. An empirical study on dynamic evaluation of talent development environment based on Five development concepts: A case study of National Independent Innovation Demonstration Zones [J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2020, 22(2): 60-69.
Zhao Yaobao. Evaluation on the competitiveness of Regional Science and Technology Talents in China from 2016 to 2018 [J]. Science and Technology Management Research, 2021, 41(20): 52-59.
Jin Sujing, Zhong Ruoyu, Construction of urban talent development environment index and comparison of regional differences [J]. Statistics and Decision, 2022, 38(19): 31-35.
Xiao Mingzheng, Zhu Yuhuilan. Research on Regional talent development Environment Index: Based on survey samples of 21 cities in Guangdong Province [J]. Executive Forum, 2022, 29(3): 131-138.
Zhang Yi, Ni Jihui. Construction of evaluation index system for scientific and technological innovation talents [J]. Statistics and Decision, 2022, 38(16): 172-175.
Gan Yuhui, HOU Shengchao, Zou Lijun. An analysis of the policy text of Chinese science and technology talent evaluation from the perspective of policy tools [J]. Science Research Management, 2022, 43(3): 55 -- 62.
Wang H, Cheng M, Zhang S, et al. Optimization of irrigation amount and fertilization rate of drip-fertigated potato based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation methods[J]. Agricultural Water Management, 2021, 256: 107130.
Gangsø K, Aspvik N P, Mehus I, et al. Talent Development Environments in Football: Comparing the Top-Five and Bottom-Five-Ranked Football Academies in Norway[J]. International Journal of Environmental Research and Public Health, 2021, 18(3): 1321.
Yang Yao, WANG Chuan. Analysis of agricultural and tourism integration degree based on AHP-Fuzzy comprehensive evaluation method: A case study of Enshi Gong Shuibai Pomelo industry [J]. Chinese Journal of Agricultural Resources and Regionalization, 2021, 42(1): 220-230.
Thomas C E, Abbott G, Gastin P B, et al. Construct validity and reliability of the Talent Development Environment Questionnaire in Caribbean youth track and field athletes[J]. PLOS ONE, 2020, 15(1): e0227815.
Yanwen W, Peng C, Chen F. Security Assessment of Coal Mine Power Grid Voltage Based on an Improved AHP-FCE[J]. Mathematical Problems in Engineering, 2022, 2022: 1-12.
Li C, Martindale R, Sun Y. Relationships between talent development environments and mental toughness: The role of basic psychological need satisfaction[J]. Journal of Sports Sciences, 2019, 37(18): 2057-2065.
Zhu Y, Zhong S, Wang Y, et al. Land Use Evolution and Land Ecological Security Evaluation Based on AHP-FCE Model: Evidence from China[J]. International Journal of Environmental Research and Public Health, 2021, 18(22): 12076.
Xu S, Sun Y. Research on Evaluation of Green Smart Building Based on Improved AHP-FCE Method[J]. Computational Intelligence and Neuroscience, 2021, 2021: 1-11.
Han Li, Mei Qiang, Lu Yumei, Ji Min. Analysis and Research of AHP-Fuzzy Comprehensive Evaluation Method [J]. China Safety Science Journal, 2004(7): 89-92+3.
Li W, Xu G, Zuo D, et al. Corporate Social Responsibility Performance-Evaluation Based on Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation Model[J]. Wireless Personal Communications, 2021, 118(4): 2897-2919.
Song Wei, Dai Lei. Construction of environmental evaluation index system for Cultivating scientific and technological Innovation talents in Jilin Province [J]. Industrial Technical Economics, 2011, 30(8): 39-42.
Cui Y. Research on Policy environment evaluation of scientific and technological innovation talents based on fuzzy comprehensive evaluation: Data from Henan Province. Science and Technology Management Research, 2013, 33(11): 83-87.
Si Jiangwei, Chen Jingjing. Study on 《Five-in-one》 Environmental Evaluation Index System for Talent Development [J]. Science and Technology Management Research, 2015, 35(2): 27-30+57.
Wang Huijie, BI Fanfan, Dong Zhanfeng. Performance evaluation of ecological compensation policy in Xin ’an River Basin based on AHP-Fuzzy comprehensive evaluation method [J]. Acta Ecologica Sinica, 2020, 40(20): 7493 -- 7506.
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