Issue
Math. Model. Nat. Phenom.
Volume 14, Number 1, 2019
Economics and the environment: distributed optimal control models
Article Number 105
Number of page(s) 18
DOI https://doi.org/10.1051/mmnp/2018076
Published online 02 April 2019
  1. K. Arrow, P. Dasgupta, L. Goulder, G. Daily, P. Ehrlich, G. Heal, S. Levin, K.-G. Maler, S. Schneider, D. Starrett and B. Walker, Are we consuming too much? J. Econ. Perspect. 18 (2004) 147–172. [CrossRef] [Google Scholar]
  2. E. Barucci and F. Gozzi, Investment in a vintage capital model. Res. Econ. 52 (1998) 159–188. [CrossRef] [Google Scholar]
  3. E. Barucci and F. Gozzi, Optimal advertising with a continuum of goods. Ann. Oper. Res. 88 (1999) 15–29. [CrossRef] [Google Scholar]
  4. E. Barucci and F. Gozzi, Technology adoption and accumulation in a vintage capital model. J. Econ. 74 (2002) 1–38. [CrossRef] [Google Scholar]
  5. T. Bassetti, N. Benos and S. Karagiannis, CO2 emissions and income dynamics: what does the global evidence tell us? Environ. Resource Econ. 54 (2013) 101–125. [CrossRef] [Google Scholar]
  6. A. Bensoussan, G. Da Prato, M.C. Delfour and S.K. Mitter, Representation and Control of Infinite Dimensional Systems (Second Edition). Birkhäuser, Basel (2006). [Google Scholar]
  7. R. Boucekkine, C. Camacho and G. Fabbri, Spatial dynamics and convergence: the spatial AK model. J. Econ. Theory 148 (2013) 2719–2736. [CrossRef] [Google Scholar]
  8. R. Boucekkine, G. Fabbri, F. Gozzi and S. Federico, Growth and agglomeration in the heterogeneous space: a generalized AK approach. To appear in J. Econ. Geogr. (2018). Doi: 10.1093/jeg/lby041 [Google Scholar]
  9. R. Boucekkine, A. Pommeret and F. Prieur, Technological vs. ecological switch and the environmental Kuznets curve. Am. J. Agric. Econ. 95 (2013) 252–260. [CrossRef] [Google Scholar]
  10. R. Boucekkine, J. Krawczyk and T. Vallée, Environmental quality versus economic performance: a dynamic game approach. Optimal Cont. Appl. Methods 32 (2011) 29–46. [CrossRef] [Google Scholar]
  11. Br H. Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations. Springer, Berlin (2011). [Google Scholar]
  12. C. Camacho and A. Perez Barahona Land use dynamics and the environment. J. Econ. Dyn. Cont. 52 (2015) 96–118. [CrossRef] [Google Scholar]
  13. J. De Frutos and G. Martin-Herran, Spatial effects and strategic behavior in a multiregional transboundary pollution dynamic game. Toappear in: J. Environ. Econ. Manag. (2017). Doi: 10.1016/j.jeem.2017.08.001 [Google Scholar]
  14. SD S. Dinda, . Ecol. Econ. 49 (2004) 431–455. [CrossRef] [Google Scholar]
  15. K.J. Engel and R. Nagel, One-parameter Semigroups for Linear Evolution Equations. Springer, Berlin (1995). [Google Scholar]
  16. S. Faggian and F. Gozzi, On the dynamic programming approach for optimal control problems of PDEs with age structure. Math. Popul. Stud. 11 (2004) 233–270. [CrossRef] [MathSciNet] [Google Scholar]
  17. G. Kallis, In defense of degrowth. Ecol. Econ. 70 (2011) 870–880. [Google Scholar]
  18. I. Karatzas and S. Shreve, Brownian Motion and Stochastic Calculus. Springer, Berlin (1988). [CrossRef] [Google Scholar]
  19. LTL D. La Torre, D. Liuzzi and S. Marsiglio, Transboundary pollution externalities: think globally, think locally? (2018). [Google Scholar]
  20. A. Lunardi, Analytic Semigroups and Optimal Regularity in Parabolic Problems. Birkhäuser, Basel (1995). [Google Scholar]
  21. F. Prieur, The environmental Kuznets curve in a world of irreversibility. Econ. Theory 40 (2009) 57–90. [CrossRef] [MathSciNet] [Google Scholar]
  22. I. Schumacher and B. Zou, Pollution perception: a challenge for intergenerational equity. J. Environ. Econ. Manag. 55 (2008) 296–309. [CrossRef] [Google Scholar]
  23. R. Sengupta, CO2 emission-income relationship: policy approach for climate control. Pacific Asia J. Energy 7 (1997) 207–229. [Google Scholar]
  24. D. Stern, The rise and fall of the environmental Kuznets curve. World Dev. 32 (2004) 1419–1439. [CrossRef] [Google Scholar]
  25. N. Stokey, Are there limits to growth? Int. Econ. Rev. 39 (1999) 1–31. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.