Chinese Long Waves, Potential Hegemony, and Climate Change
Phillip Anthony O’Hara
Additional contact information
Phillip Anthony O’Hara: Global Political Economy Research Unit (GPERU)
Chapter Chapter 8 in Long Waves of Growth, Hegemonic Power, and Climate Change in the World Economy, 2025, pp 339-380 from Springer
Abstract:
Abstract This chapter provides an outline of Chinese growth waves of real GDP per capita (decadal AAGR), and real GDP per capita levels, during the 1780–2020s, and surveys Chinese techno-institutional, ecological, and potential hegemonic performance during the 1970s–2020s. Section 8.2 summarizes the data for the 1780–2020s, and presents hypotheses for investigation. Section 8.3 details the pathways and circuits of socioeconomic dynamics (CSD) associated with the seven spheres vis-à-vis their contribution to long waves, potential hegemony, and climate change. This section compares and contrasts China with the USA since potential Chinese hegemony depends crucially on such comparisons. Section 8.4 scrutinizes the contradictions associated with Chinese performance and its significance for future long waves, hegemony, and climate change. Section 8.5 analyzes hegemony from a comparative perspective for China, USA, Britain, and the Dutch. A conclusion follows.
Keywords: Chinese potential hegemony; Long waves; Climate change; Empirics; Historical specificity; Principles of political economy (PoPE); Pathways and Circuits of socioeconomic dynamics (CSD); Rules and stylized facts (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-981-96-4132-1_8
Ordering information: This item can be ordered from
http://www.springer.com/9789819641321
DOI: 10.1007/978-981-96-4132-1_8
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().