Extending production-theoretical decomposition analysis to environmentally sensitive growth: Case study of Belt and Road Initiative countries

Zhao, Z; Shi, X; Zhao, L; Zhang, J

Extending production-theoretical decomposition analysis to environmentally sensitive growth: Case study of Belt and Road Initiative countries

Zhao, Z Shi, X

Zhao, L Zhang, J

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Technological Forecasting and Social Change, 2020, 161, pp. 120289-120289
Issue Date:: 2020-12-01

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Field	Value	Language
dc.contributor.author	Zhao, Z
dc.contributor.author	Shi, X https://orcid.org/0000-0001-9653-7395
dc.contributor.author	Zhao, L
dc.contributor.author	Zhang, J
dc.date.accessioned	2020-10-07T22:14:40Z
dc.date.available	2020-10-07T22:14:40Z
dc.date.issued	2020-12-01
dc.identifier.citation	Technological Forecasting and Social Change, 2020, 161, pp. 120289-120289
dc.identifier.issn	0040-1625
dc.identifier.uri	http://hdl.handle.net/10453/143130
dc.description.abstract	© 2020 Elsevier Inc. Exploring the driving factors of environmentally sensitive growth in Belt and Road Initiative (BRI) countries is crucial to the green BRI and realizing sustainable development goals. This study extends the production-theoretical decomposition analysis framework to environmentally sensitive growth. Using data from 52 BRI countries from 1992 to 2014, the proposed approach decomposes environmentally sensitive growth change into productivity growth effect, input change effect, and potential output change effect. We find that the potential output change effect plays the most significant role, followed by the input change effect, while the productivity growth effect does not contribute significantly to environmentally sensitive growth. These three effects are further decomposed into seven driving factors. Within the potential output change effect, the contribution of the potential GDP change factor is greater than the contribution of the carbon dioxide emissions change factor. The energy change factor contributes most to environmentally sensitive growth among the input change effects. Additionally, the technical efficiency change factor is more significant for the productivity growth effect than the best practice gap change factor. The findings suggest that advocating low-carbon infrastructure investment, exerting the spillover effect of technology, and adopting a low carbon development national strategy are policies toward achieving the Sustainable Development Goals.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Technological Forecasting and Social Change
dc.relation.isbasedon	10.1016/j.techfore.2020.120289
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	10 Technology, 14 Economics, 15 Commerce, Management, Tourism and Services
dc.subject.classification	Science Studies
dc.title	Extending production-theoretical decomposition analysis to environmentally sensitive growth: Case study of Belt and Road Initiative countries
dc.type	Journal Article
utslib.citation.volume	161
utslib.for	10 Technology
utslib.for	14 Economics
utslib.for	15 Commerce, Management, Tourism and Services
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/DVC (International)/Australia-China Relations Institute
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-10-07T22:14:32Z
pubs.publication-status	Accepted
pubs.volume	161

Abstract:

© 2020 Elsevier Inc. Exploring the driving factors of environmentally sensitive growth in Belt and Road Initiative (BRI) countries is crucial to the green BRI and realizing sustainable development goals. This study extends the production-theoretical decomposition analysis framework to environmentally sensitive growth. Using data from 52 BRI countries from 1992 to 2014, the proposed approach decomposes environmentally sensitive growth change into productivity growth effect, input change effect, and potential output change effect. We find that the potential output change effect plays the most significant role, followed by the input change effect, while the productivity growth effect does not contribute significantly to environmentally sensitive growth. These three effects are further decomposed into seven driving factors. Within the potential output change effect, the contribution of the potential GDP change factor is greater than the contribution of the carbon dioxide emissions change factor. The energy change factor contributes most to environmentally sensitive growth among the input change effects. Additionally, the technical efficiency change factor is more significant for the productivity growth effect than the best practice gap change factor. The findings suggest that advocating low-carbon infrastructure investment, exerting the spillover effect of technology, and adopting a low carbon development national strategy are policies toward achieving the Sustainable Development Goals.

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http://hdl.handle.net/10453/143130