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An economic-ecological model of urban growth and urban externalities: empirical evidence from Italy

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  • Capello, Roberta
  • Faggian, Alessandra

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  • Capello, Roberta & Faggian, Alessandra, 2002. "An economic-ecological model of urban growth and urban externalities: empirical evidence from Italy," Ecological Economics, Elsevier, vol. 40(2), pages 181-198, February.
  • Handle: RePEc:eee:ecolec:v:40:y:2002:i:2:p:181-198
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    References listed on IDEAS

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    1. D S Dendrinos & H Mullally, 1983. "Optimum Control in Nonlinear Ecological Dynamics of Metropolitan Areas," Environment and Planning A, , vol. 15(4), pages 543-550, April.
    2. Nijkamp, P. & Reggiani, A., 1987. "A new methodology for the analysis of dynamic spatial interaction models," Serie Research Memoranda 0070, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Jonathan P. Goldstein, 1999. "Predator–Prey Model Estimates of the Cyclical Profit Squeeze," Metroeconomica, Wiley Blackwell, vol. 50(2), pages 139-173, June.
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    Cited by:

    1. Puliafito, Salvador Enrique & Puliafito, José Luis & Grand, Mariana Conte, 2008. "Modeling population dynamics and economic growth as competing species: An application to CO2 global emissions," Ecological Economics, Elsevier, vol. 65(3), pages 602-615, April.
    2. Ewing, Bradley T. & Riggs, Kent & Ewing, Keith L., 2007. "Time series analysis of a predator-prey system: Application of VAR and generalized impulse response function," Ecological Economics, Elsevier, vol. 60(3), pages 605-612, January.
    3. Doris A. Behrens & Olivia Koland & Ulrike Leopold-Wildburger, 2018. "Why local air pollution is more than daily peaks: modelling policies in a city in order to avoid premature deaths," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(2), pages 265-286, June.
    4. Hailiang Ma & Chenling Shi & Nan-Ting Chou, 2016. "China’s Water Utilization Efficiency: An Analysis with Environmental Considerations," Sustainability, MDPI, vol. 8(6), pages 1-15, May.
    5. Otwin Becker & Ulrike Leopold-Wildburger, 2020. "Optimal dynamic control of predator–prey models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(2), pages 425-440, June.
    6. Fang, Wei & An, Haizhong & Li, Huajiao & Gao, Xiangyun & Sun, Xiaoqi & Zhong, Weiqiong, 2017. "Accessing on the sustainability of urban ecological-economic systems by means of a coupled emergy and system dynamics model: A case study of Beijing," Energy Policy, Elsevier, vol. 100(C), pages 326-337.
    7. Meiyu Liu & Guofeng Zhang & Du Yang, 2022. "Do the National Key Ecological Function Zones Promote Green Development? Evidence from the Yanshan–Taihang Mountainous Area in Hebei Province, China," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    8. Inna MANAEVA & Alexandra KANISHTEVA, 2017. "Estimation Of Factors For Social And Economic Inequality Of Russia'S Towns," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 147-158, December.
    9. Helmut Herwartz, 2022. "Modelling interaction patterns in a predator-prey system of two freshwater organisms in discrete time: an identified structural VAR approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 63-85, March.

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