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Content Analysis of Talent Policy on Promoting Sustainable Development of Talent: Taking Sichuan Province as an Example

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  • Huiqin Zhang

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Ting Deng

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Meng Wang

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Xudong Chen

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

Abstract

Sustainable development of talent refers to the establishment of institutionalized, standardized, and systematic stabilization measures and procedures based on scientific principles. A talent management system is a series of systematic, regular, and systematic practices instead of policy that is short-term, fragmented, and involves special measures and practices. As an effective means of policy analysis, talent policy instruments play a critical role in promoting the sustainable development of talent. This study constructs an analytical framework from the dimensions of policy instruments, policy targets, and policy strength to examine the policy sustainability. It selects 30 talent policies issued by the Sichuan government as the research sample and uses ROST and NVivo software to quantify policy instruments, policy targets, and policy strength as analytical units. The results show that, in the supply-side policy instruments, many “capital investment” policy measures have been used, but the role of “talent information support” in the role of talent development has been neglected. Among the environmental policy instruments, “strategic measures” are used more frequently, and the economic leverage of “tax finance” has not been fully used. Among the demand-side policy instruments, “talent introduction” and “trade control” are used more frequently, but the application of “overseas talent agencies” remains unused. Policy targets focus on talent innovation and talent efficiency but pay less attention to talent flow, and policy strength is in line with strategic adjustments, but policies are not sufficiently sustainable. The formulation of regional talent policy should focus on the operability of policies, improve the structure of policy targets, and lead to sustainable development. In addition, it is necessary to strengthen the implementation of policies and promote the sustainable development of talent.

Suggested Citation

  • Huiqin Zhang & Ting Deng & Meng Wang & Xudong Chen, 2019. "Content Analysis of Talent Policy on Promoting Sustainable Development of Talent: Taking Sichuan Province as an Example," Sustainability, MDPI, vol. 11(9), pages 1-17, April.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2508-:d:227095
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    1. Robert B. Gibson, 2006. "Beyond The Pillars: Sustainability Assessment As A Framework For Effective Integration Of Social, Economic And Ecological Considerations In Significant Decision-Making," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 259-280.
    2. Cui Huang & Chao Yang & Jun Su, 2018. "Policy change analysis based on “policy target–policy instrument” patterns: a case study of China’s nuclear energy policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1081-1114, November.
    3. Farchi, Tomas & Salge, Torsten-Oliver, 2017. "Shaping innovation in health care: A content analysis of innovation policies in the English NHS, 1948–2015," Social Science & Medicine, Elsevier, vol. 192(C), pages 143-151.
    4. Borrás, Susana & Edquist, Charles, 2013. "The choice of innovation policy instruments," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1513-1522.
    5. Gagliardi, Francesco & Roscia, Mariacristina & Lazaroiu, Gheorghe, 2007. "Evaluation of sustainability of a city through fuzzy logic," Energy, Elsevier, vol. 32(5), pages 795-802.
    6. Flanagan, Kieron & Uyarra, Elvira & Laranja, Manuel, 2011. "Reconceptualising the 'policy mix' for innovation," Research Policy, Elsevier, vol. 40(5), pages 702-713, June.
    7. Weiwei Li & Pingtao Yi & Danning Zhang, 2018. "Sustainability Evaluation of Cities in Northeastern China Using Dynamic TOPSIS-Entropy Methods," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
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    7. Qiang Wang & Can Cui & Chengyuan Yu & Yifan Wang, 2023. "From Domicile to University to Work: The Sequential Migration of Young Educated People in the Context of the “Battle for Talent” in China," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(6), pages 1-26, December.
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    9. Sike Liu & Wuyi Wang, 2023. "Research on the Generating Mechanism of Urban Talent Competitiveness Based QCA Method: A Configurational Analysis of 24 Chinese Cities," Sustainability, MDPI, vol. 15(7), pages 1-16, April.
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