Arbeitspapier

Digitalisation and sustainability strategies at the firm level

The paper analyses the relationship between digitalisation and sustainability strategies at the firm level. In a first step, operational definitions of digitalisation and sustainability allowing the development of fitting empirical indicators are discussed. The possible technical and social transmission channels of the effects of digitalisation on a sustainable firm development are analysed. From a technical side of view, less energy consumption induced by intelligent sensoring systems or the reduction of meetings in presence by video conferences or the promotion of home office work leading to less travel activities might lead to a more sustainable production. Digitalisation might also act as pre-condition of eco-process innovations (e. g. the introduction of intelligent control systems leading to material and energy savings). From a societal perspective, digitalisation might lead to a higher availability of information on sustainability issues promoting a faster spread of environmentally related social norms. The empirical analysis is based on firm data of the recent Eurobarometer 486/2020 of the European Commission. The econometric results show that 'digitally active' firms seem to be more sustainable for all available indicators. All considered digitalisation measures such as artificial intelligence, machine learning, or the use of smart devices and intelligent sensors are positively correlated to eco-innovation and other sustainability-related activities of the questioned firms.

ISBN
978-3-96973-167-3
Language
Englisch

Bibliographic citation
Series: Ruhr Economic Papers ; No. 1001

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
Innovation and Invention: Processes and Incentives
Sustainable Development
Environmental Economics: Technological Innovation
Subject
Digitalisation
sustainability
eco-innovation
probit analysis
negative binomial regression

Event
Geistige Schöpfung
(who)
Horbach, Jens
Event
Veröffentlichung
(who)
RWI - Leibniz-Institut für Wirtschaftsforschung
(where)
Essen
(when)
2023

DOI
doi:10.4419/96973167
Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Horbach, Jens
  • RWI - Leibniz-Institut für Wirtschaftsforschung

Time of origin

  • 2023

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