Structural decomposition analysis applied to energy and emissions: Frameworks for monthly data

Bin Su and B.W. Ang

Energy Economics, 2023, vol. 126, issue C

Abstract: Structural decomposition analysis (SDA) is a well-known approach to studying factors contributing to changes of an aggregate indicator in energy and emissions studies. Such studies normally rely on yearly data since input-output (I-O) tables are needed. With energy and economic transitions and seasonal factors, variations in renewable energy supply and in final demands of goods and services are becoming more prominent within a year in many countries. If monthly data are incorporated, some temporal dynamics within a year can be investigated in SDA application. In this paper, we propose an additive SDA framework and a multiplicative SDA framework that include monthly data to respectively reveal the drivers of temporal dynamics associated with energy/emissions embodiments and aggregate embodied intensity indicators. Based on China's 2018 and 2020 I-O tables, an empirical study is conducted using the proposed frameworks. The results obtained show that the increased granularity helps to reveal temporal dynamics mechanisms which will otherwise be overlooked. We discuss the findings and present areas for future research.

Keywords: Input-output analysis; Temporal disaggregation; Structural decomposition analysis; Energy and emissions; Temporal dynamics (search for similar items in EconPapers)
JEL-codes: C67 P28 Q43 Q54 Q56 R15 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988323004759
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323004759

DOI: 10.1016/j.eneco.2023.106977

Access Statistics for this article

Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().