Exergy versus labour in aggregate production functions: estimates for ten large economies

Robert U. Ayres, Ivan Savin*, Jeroen van den Bergh, Lu Hao

*Corresponding author for this work

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Abstract

One can distinguish active (machines) from inactive (infrastructure) capital. Active capital consumes useful energy (or exergy) to do thermodynamic work that muscles and brains usually do. We use data for ten large economies and find that exergy performs just as well as, and hence can replace labour in a Cobb-Douglas production function. This result is robust for each country separately and for all countries estimated together. Furthermore, in estimating a three-factor model (capital, labour and exergy), the coefficients of all three factors are positive and significant when all countries are estimated together. When testing for each country separately the coefficient of exergy, unlike that of labour, is significant for China and Japan, while the opposite holds for the USA and the UK. Our findings underpin the essential role of energy behind GDP growth, and the relevance of exergy as either a substitute or complement for labour in aggregate production functions.

Original languageEnglish
Pages (from-to)320-332
Number of pages13
JournalInternational Journal of Exergy
Volume38
Issue number3
Early online date6 Jul 2022
DOIs
Publication statusPublished - 2022

Bibliographical note

Funding Information:
This work was funded by an ERC Advanced Grant from the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme [Grant Agreement No. 741087]. I.S. acknowledges financial support from the Russian Science Foundation [RSF Grant Number 19-18-00262].

Publisher Copyright:
Copyright © 2022 Inderscience Enterprises Ltd.

Funding

This work was funded by an ERC Advanced Grant from the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme [Grant Agreement No. 741087]. I.S. acknowledges financial support from the Russian Science Foundation [RSF Grant Number 19-18-00262].

FundersFunder number
Horizon 2020 Framework Programme741087
Horizon 2020 Framework Programme
European Research Council
Russian Science Foundation19-18-00262
Russian Science Foundation

    Keywords

    • capital
    • Cobb-Douglas function
    • energy
    • GDP

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