归乡与扎根:知识型青年返乡就业的困境与政策支持——基于社会资本视角
Returning Home and Rooting:A Study on the Dilemma and Policy Support of Knowledge-Oriented Youth Returning Home for Employment from Per-spective of Social Capital
曹晨娟1
作者信息
- 1. 安庆师范大学教师教育学院,安徽安庆 246133
- 折叠
摘要
在乡村振兴战略背景下,青年返乡就业创业对复苏革命老区经济发展的具有重要现实意义.以12名大别山区返乡知识型青年为研究对象,基于社会资本理论的视角发现,"关系闭合"和"制度缺位"是知识型青年返乡就业遇到的主要障碍,导致青年返乡就业陷入能就业却难扎根的现实困境.因此,从关系维度看,乡村社会要积极营造融合性的新时代乡村文化,破除职业代际影响的文化壁垒,激发返乡青年主动嵌入乡村社会网络的自主性;从制度维度看,乡村社会要健全人才管理体系,完善多元激励机制,畅通人才晋升渠道,强化校地人才合作,为大别山区知识青年扎根于乡村建设提供保障.
Abstract
In the context of rural revitalization strategy,youth returning to their hometowns for employment and entrepreneurship has important practical significance for reviving the economic development of revolution-ary old areas.Twelve knowledge-based young people returning to their hometowns in the Dabie mountain area were taken as the research object.Based on the perspective of social capital theory,it is found that"closed re-lationships"and"lack of systems"are the main obstacles faced by knowledge-based youth returning to their hometowns for employment,leading to the practical dilemma of being able to find employment but difficult to take root for youth returning to their hometowns.Therefore,from a relational standpoint,rural society should actively usher in a new era of integrated rural culture,dismantle cultural barriers built by generations of work-ers,and encourage returning youth to take an active role in integrating themselves into rural social networks.Institutionally speaking,rural society must create a strong talent management system,enhance varied incen-tive programs,clear obstacles to talent promotion,fortify ties between local talent and educational institutions,and offer assurances that knowledge-based youth in the Dabie mountain area will find a home in rural develop-ment.
关键词
乡村治理/大别山区/知识型青年/返乡就业Key words
rural governance/Dabie mountain area/knowledge-based youth/returning home for employment引用本文复制引用
基金项目
安徽省哲学社会科学规划青年项目(AHSKQ2020D173)
安庆师范大学2022年"敬敷育英"创新创业引领计划项目(2022JFYY011)
出版年
2024
NETL
NSTL
万方数据