When does green innovation create jobs? Asymmetric employment effects across booms, recessions, and time lags

This study contributes to the green innovation–employment literature by showing that the association between green innovation and employment varies systematically across business-cycle conditions and over time. Using a balanced panel of Organisation for Economic Co-operation and Development economies, the analysis applies heterogeneous panel estimators that account for cross-country dependence, slope heterogeneity, common shocks and potential endogeneity. The results reveal substantial cyclical asymmetry. In the non-cyclical specification, green innovation is positively associated with national employment. This association strengthens considerably during booms, peaking after one year before moderating after two years. In contrast, green innovation is negatively associated with employment during recessions, although this negative association gradually weakens over the following two years. Average annual wages are consistently negatively associated with employment, whereas gross fixed capital formation, trade openness and remittances generally exhibit positive associations. Both green innovation and aggregate employment are procyclical, while alternative business-cycle definitions preserve the main regime-dependent pattern. Policy should therefore combine sustained support for green innovation with complementary investment and labour-market measures, particularly during economic downturns.

Authors

Institutions

Publication Details

Journal
Economics of Innovation and New Technology
Published
2026-11-03
DOI
https://doi.org/10.1080/10438599.2026.2754944
Primary Topic
Sustainable Development and Policies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

When does green innovation create jobs? Asymmetric employment effects across booms, recessions, and time lags

Liguo Xin, Manzoor Ahmad, Lin Qi
Economics of Innovation and New Technology
Sustainable Development and Policies
article

When does green innovation create jobs? Asymmetric employment effects across booms, recessions, and time lags

Liguo Xin, Manzoor Ahmad, Lin Qi
article en

Abstract

This study contributes to the green innovation–employment literature by showing that the association between green innovation and employment varies systematically across business-cycle conditions and over time. Using a balanced panel of Organisation for Economic Co-operation and Development economies, the analysis applies heterogeneous panel estimators that account for cross-country dependence, slope heterogeneity, common shocks and potential endogeneity. The results reveal substantial cyclical asymmetry. In the non-cyclical specification, green innovation is positively associated with national employment. This association strengthens considerably during booms, peaking after one year before moderating after two years. In contrast, green innovation is negatively associated with employment during recessions, although this negative association gradually weakens over the following two years. Average annual wages are consistently negatively associated with employment, whereas gross fixed capital formation, trade openness and remittances generally exhibit positive associations. Both green innovation and aggregate employment are procyclical, while alternative business-cycle definitions preserve the main regime-dependent pattern. Policy should therefore combine sustained support for green innovation with complementary investment and labour-market measures, particularly during economic downturns.

Economics of Innovation and New Technology
Shandong University (CN), Abdul Wali Khan University Mardan (PK)
Openalex Percentile: Top 12%
Sustainable Development and Policies
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.

Laika access coming soon