Meeting the Twin Challenge in Times of Labor Shortage: How Modern Societies Promote Future Skills for the Digital and Green Transitions

ABSTRACT The twin transition to a digital and green economy has placed skill formation at the center of efforts to sustain competitiveness. Reforming skill formation systems poses enduring dilemmas on how to balance concerns about economic efficiency with social inclusion while securing employer commitment. The context of significant uncertainty brought on by the twin transition—placed at all levels, from individuals to firms to the state—amplifies the challenge of building effective skills ecosystems. We argue that the central question is no longer about whether governments should intervene but instead about how to govern skill formation under profound uncertainty. The task is to design institutions that are flexible enough to adapt to shifting technological and ecological demands while stable enough to sustain political coalitions and social inclusion. We argue that effective skills ecosystems for the twin transition must combine political stability with the capacity to embrace—rather than reduce—economic uncertainty.

Authors

Institutions

Publication Details

Journal
Regulation & Governance
Published
2025-10-31
DOI
https://doi.org/10.1111/rego.70098
Citations
2
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
8.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Meeting the Twin Challenge in Times of Labor Shortage: How Modern Societies Promote Future Skills for the Digital and Green Transitions

Martin B. Carstensen, Jane Gingrich, Patrick Emmenegger, Niccolò Durazzi
2 citations
Regulation & Governance
Digital Economy and Work Transformation
8.40
article

Meeting the Twin Challenge in Times of Labor Shortage: How Modern Societies Promote Future Skills for the Digital and Green Transitions

Martin B. Carstensen, Jane Gingrich, Patrick Emmenegger, Niccolò Durazzi
article en
2 citations

Abstract

ABSTRACT The twin transition to a digital and green economy has placed skill formation at the center of efforts to sustain competitiveness. Reforming skill formation systems poses enduring dilemmas on how to balance concerns about economic efficiency with social inclusion while securing employer commitment. The context of significant uncertainty brought on by the twin transition—placed at all levels, from individuals to firms to the state—amplifies the challenge of building effective skills ecosystems. We argue that the central question is no longer about whether governments should intervene but instead about how to govern skill formation under profound uncertainty. The task is to design institutions that are flexible enough to adapt to shifting technological and ecological demands while stable enough to sustain political coalitions and social inclusion. We argue that effective skills ecosystems for the twin transition must combine political stability with the capacity to embrace—rather than reduce—economic uncertainty.

Regulation & Governance
Roskilde University (DK), University of Modena and Reggio Emilia (IT), University of St.Gallen (CH), Oxford Policy Management (GB), University of Oxford (GB), University of Applied Sciences St. Gallen (CH)
Openalex Percentile: Top 3%
Digital Economy and Work Transformation
8.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Meeting the Twin Challenge in Times of Labor Shortage: How Modern Societies Promote Future Skills for the Digital and Green Transitions — Martin B. Carstensen, Jane Gingrich, et al. · Regulation & Governance (2025) | TGRS Research Map | TGRS