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author:

Ou, Yangting (Ou, Yangting.) [1] | Li, Haixian (Li, Haixian.) [2] | Long, Houyin (Long, Houyin.) [3] (Scholars:龙厚印)

Indexed by:

SSCI Scopus SCIE

Abstract:

Fujian Province launched a talent recruitment policy in 2012 to integrate top university graduates into grassroots government roles, aiming to support green development. This study investigates the impact of recruiting "three-high" talents-those who are highly educated, skilled, and specialized-on reducing county-level carbon emissions. Using panel data from 134 counties between 2007 and 2021, we apply a time-varying difference-in-differences model. Robustness checks, including propensity score matching estimation, placebo tests, and fixed-effect controls, confirm the reliability of our results. We find that the policy significantly reduces carbon emission intensity, primarily by enhancing green technological innovation. The effect is more pronounced in urban, economically developed, and non-resource-based regions, especially where public awareness of green practices is higher. These findings suggest that localized talent policies can play a critical role in advancing low-carbon development. Our results offer new evidence for integrating human capital strategies into environmental policy design and highlight the importance of aligning recruitment efforts with regional development needs to support China's carbon neutrality goals.

Keyword:

carbon emissions county-level China difference-in-differences green development talent attraction

Community:

  • [ 1 ] [Ou, Yangting]Ningde Normal Univ, Sch Econ & Management, Ningde 352100, Peoples R China
  • [ 2 ] [Ou, Yangting]Natl Chengchi Univ, Coll Commerce, Taipei 11605, Taiwan
  • [ 3 ] [Li, Haixian]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China
  • [ 4 ] [Long, Houyin]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • 龙厚印

    [Long, Houyin]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China

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Source :

SUSTAINABILITY

Year: 2025

Issue: 11

Volume: 17

3 . 3 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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