The University of Southampton
University of Southampton Institutional Repository

The impact of lowering carbon emissions on corporate labour investment: a quasi-natural experiment

The impact of lowering carbon emissions on corporate labour investment: a quasi-natural experiment
The impact of lowering carbon emissions on corporate labour investment: a quasi-natural experiment
We examine the impact of low-carbon city (LCC) initiatives on labour investment decisions (quantity, quality, and well-being). Using a time-varying difference-in-differences approach based on staggered implementations of such a pilot program, we report an inefficient outcome - absolute deviation of labour investment from the optimal net hiring – especially for firms in labour-intensive industries and firms with high financial slack or adjustment costs. We, however, observe increased investments in highly skilled personnel and compensated with employee stock ownership, especially by firms under intense pressure to reduce carbon emissions. Such initiatives are also closely associated with the significant enhancement of workplace safety. Overall, LCC helps to upgrade the corporate labour structure by hiring more skilled employees through reduced agency problems and heightened green innovation.
0140-9883
Cao, June
af0d62ff-d54c-412f-a152-cc04c63c7290
Li, Wenwen
cdbcaa6d-2bdd-4405-b0c2-51dade5585c3
Hasan, Iftekhar
f067b353-9d61-41a9-b30b-c65031f2b827
Cao, June
af0d62ff-d54c-412f-a152-cc04c63c7290
Li, Wenwen
cdbcaa6d-2bdd-4405-b0c2-51dade5585c3
Hasan, Iftekhar
f067b353-9d61-41a9-b30b-c65031f2b827

Cao, June, Li, Wenwen and Hasan, Iftekhar (2023) The impact of lowering carbon emissions on corporate labour investment: a quasi-natural experiment. Energy Economics, 121, [106653]. (doi:10.1016/j.eneco.2023.106653).

Record type: Article

Abstract

We examine the impact of low-carbon city (LCC) initiatives on labour investment decisions (quantity, quality, and well-being). Using a time-varying difference-in-differences approach based on staggered implementations of such a pilot program, we report an inefficient outcome - absolute deviation of labour investment from the optimal net hiring – especially for firms in labour-intensive industries and firms with high financial slack or adjustment costs. We, however, observe increased investments in highly skilled personnel and compensated with employee stock ownership, especially by firms under intense pressure to reduce carbon emissions. Such initiatives are also closely associated with the significant enhancement of workplace safety. Overall, LCC helps to upgrade the corporate labour structure by hiring more skilled employees through reduced agency problems and heightened green innovation.

Text
15 The Impact of Lowering Carbon Emissions on Corporate Labour Investment- A Quasi-Natural Experiment - Version of Record
Download (2MB)

More information

Accepted/In Press date: 26 March 2023
e-pub ahead of print date: 5 April 2023
Published date: 12 April 2023

Identifiers

Local EPrints ID: 501343
URI: http://eprints.soton.ac.uk/id/eprint/501343
ISSN: 0140-9883
PURE UUID: 2a68bca6-b931-4779-a812-ae1422509688
ORCID for June Cao: ORCID iD orcid.org/0000-0003-2981-4174

Catalogue record

Date deposited: 29 May 2025 16:49
Last modified: 22 Aug 2025 02:49

Export record

Altmetrics

Contributors

Author: June Cao ORCID iD
Author: Wenwen Li
Author: Iftekhar Hasan

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×