Structural change and inter-sectoral mobility in a two-sector economy
Angelo Antoci,
Marcello Galeotti,
Gianluca Iannucci () and
Paolo Russu
Chaos, Solitons & Fractals, 2015, vol. 79, issue C, 18-29
Abstract:
This paper studies the dynamics of a two-sector economy (with a natural resource-dependent sector and an industrial sector) characterized by free inter-sectoral labor mobility and heterogeneity of agents (workers and entrepreneurs). In such a context, we analyze the effects of the deterioration of natural resources, caused by the production activity of both sectors, on inter-sectoral movements of the labor force (structural changes), on ecological dynamics and on the revenues of workers and entrepreneurs. As in the seminal work by Matsuyama (1992), we obtain that a low productivity of labor in the resource-dependent sector can fuel the industrialization process. However, differently from Matsuyama, in our model the industrialization process may give rise to a reduction in workers’ revenues if the contribution to environmental depletion of the industrial sector, per unit of product, is higher than that of the resource-dependent one.
Keywords: Structural change; Environmental externalities; Two-sector growth model (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077915001514
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:chsofr:v:79:y:2015:i:c:p:18-29
DOI: 10.1016/j.chaos.2015.05.015
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().