技能提升:智能工作、职业组合与区域生产率

Skill up: smart work, occupational mix and regional productivity

Journal of Economic Geography · 2018
被引 22
人大 AABS 4

中文导读

利用欧盟劳动力调查和区域统计数据,研究发现职业组合中包含“智能工作者”(先进制造和知识型生产支持岗位)能显著提升区域增加值,并探讨了职业间的交互作用及非线性效应。

Abstract

New technologies and sector imbalances due to manufacturing hollowing out have dented the regional stock of competencies in the EU labour markets. This raises concerns over the sustainability of the EU’s competitiveness in the longer term. The present study sheds light on what occupational mix might be able to deliver greater regional productivity in the light of emerging industrial dynamics. We estimate panel regression models using regional data from the EU Labour Force Survey and Eurostat regional statistics. Our results show that regional gross value added is significantly improved if regions have a mix of occupations that includes what we define as smart workers: these are workers employed in advanced manufacturing and knowledge-based production-support activities. We also test interactions amongst production and production-support occupations as well as the non-linear effect between smart workers and regional gross value added. Policy implications are discussed.

智能工人职业组合区域生产率先进制造业