2010
DOI: 10.1016/j.nonrwa.2010.01.016
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On a spatial Solow model with technological diffusion and nonconcave production function

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Cited by 47 publications
(52 citation statements)
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“…The condition on consumption in (15) states that gross investment should not be negative at any time and at any location; (16) states instead the obvious condition that the abatement share needs to belong to the closed interval [0, 1].…”
Section: The Ramsey-type Problemmentioning
confidence: 99%
“…The condition on consumption in (15) states that gross investment should not be negative at any time and at any location; (16) states instead the obvious condition that the abatement share needs to belong to the closed interval [0, 1].…”
Section: The Ramsey-type Problemmentioning
confidence: 99%
“…Neto and Claeyssen [24] consider the stability of a spatial Solow model with labor mobility and prove that capital induced labor migration is a necessary condition for the spatiotemporal dynamics of the model. Capasso et al [25] prove the steady state of the classical Solow model with a nonconcave production function and analyze the convergence of a spatial Solow model with technological diffusion. In our paper, we generalize the classical Solow model in [25] and obtain the steady states of the generalized Solow model in a geographic structure.…”
Section: Introductionmentioning
confidence: 99%
“…Capasso et al [25] prove the steady state of the classical Solow model with a nonconcave production function and analyze the convergence of a spatial Solow model with technological diffusion. In our paper, we generalize the classical Solow model in [25] and obtain the steady states of the generalized Solow model in a geographic structure. In open regions, we prove the existence and uniqueness of solution for a partial differential equation with corresponding boundary conditions, which is different from convergence analysis in [25].…”
Section: Introductionmentioning
confidence: 99%
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“…We will give some numerical examples for the reconstruction of the production function (see [8,9]). We assume we have the given data k ε i ∈ [0, 1] × [0, T] with i = 1, 2, 3 (figures 2, 4 and 5) with the respective noise level…”
Section: (I) Constant Technological Levelmentioning
confidence: 99%