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Kunpeng Wang

4 papers hereh-index 455 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • econ.GN1
  • econ.TH1
  • math.DS1
  • math.GR1
same name
  • Kunpeng Wang — 11 papers, h 10
  • Kunpeng Wang — 6 papers, h 5
  • Kunpeng Wang — 2 papers, h 12
  • Kunpeng Wang — 1 paper
  • Kunpeng Wang — 1 paper, h 2
  • Kunpeng Wang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedThe Cobb-Douglas production function revisited

4 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

math.DS2023

The Cobb-Douglas Production Function and the Old Bowley's Law

Roman G. Smirnov, Kunpeng Wang

Bowley's law, also referred to as the law of the constant wage share, was a noteworthy empirical finding in economics, suggesting that a nation's wage share tended to remain stable…

econ.GN2019★ 4 cited

The Cobb-Douglas production function revisited

Roman G. Smirnov, Kunpeng Wang

Charles Cobb and Paul Douglas in 1928 used data from the US manufacturing sector for 1899-1922 to introduce what is known today as the Cobb-Douglas production function that has bee…

econ.TH2019★ 1 cited

The Hamiltonian approach to the problem of derivation of production functions in economic growth theory

Roman G. Smirnov, Kunpeng Wang

We introduce a general Hamiltonian framework that appears to be a natural setting for the derivation of various production functions in economic growth theory, starting with the ce…

math.GR2017

In search of a new economic model determined by logistic growth

Roman G. Smirnov, Kunpeng Wang

In this paper we extend the work by Ryuzo Sato devoted to the development of economic growth models within the framework of the Lie group theory. We propose a new growth model base…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.