Land value dynamics with endogenous human and physical capital accumulation
Wei-Bin Zhang
Theoretical and Applied Economics, 2015, vol. XXII, issue 1(602), Spring, 57-84
Abstract:
This study builds a three-sector growth model with endogenous physical and human wealth accumulation. It deals with dynamic interactions among land value, economic structural change, wealth accumulation and human capital growth. The economy consists of industrial, agricultural and education sectors. The model is based on the neoclassical growth theory, the Ricardian theory, and the Uzawa-Lucas model with Zhang’s utility function. The human capital accumulation is through Arrow’s learning by doing, Uzawa’s learning through education, and Zhang’s learning through consuming (leisure creativity). By simulation, we demonstrate that the economic system has a unique stable steady state. Comparative dynamic analysis is conducted with regard to changes in the propensity to receive education, the propensity to consume housing, the propensity to consume industrial goods, the propensity to consume agricultural goods, the propensity to save, and the output elasticity of land of the agricultural sector.
Keywords: land value and rent; education and human capital; wealth accumulation; economic structure. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://store.ectap.ro/articole/1057.pdf (application/pdf)
http://www.ectap.ro/articol.php?id=1057&rid=118 (text/html)
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:agr:journl:v:xxii:y:2015:i:1(602):p:57-84
Access Statistics for this article
Theoretical and Applied Economics is currently edited by Mircea Dinu
More articles in Theoretical and Applied Economics from Asociatia Generala a Economistilor din Romania / Editura Economica Contact information at EDIRC.
Bibliographic data for series maintained by Mircea Dinu ().