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The impact of pollution on the dynamics of industry location and residence choice

  • P. Commendatore*
  • , I. Kubin
  • , M. Sodini
  • , Iryna Sushko
  • *Autore corrispondente per questo lavoro
  • Institute for Polymers
  • University of Naples Federico II
  • Vienna University of Economics and Business
  • VŠB – Technical University of Ostrava

Risultato della ricerca: Contributo in rivistaArticolo

Abstract

In this paper we analyze the role of pollution for industry location and residence choice. We present a new economic geography (NEG) model in which manufacturing generates local pollution (that does not accumulate) and uses two types of labour input: unskilled workers that cannot migrate and work where they live; and high-skilled entrepreneurs that choose where to produce and where to live. Taking on board costless commuting or, in alternative, distance working, entrepreneurs can live in a different location from production. Both types of households enjoy utility from consuming all commodities (locally and imported variants) and suffer from local pollution. The resulting model is of the footloose entrepreneur variant, but involves two dynamic equations: the standard one governing the residential choice of entrepreneurs, and another one governing where production is located. The current paper analyses the discrete time dynamic process defined by a two-dimensional piecewise smooth map. Depending on parameters this map can have possibly coexisting attractors of various types (fixed points, cycles, closed curves as well as chaotic attractors). We analytically obtain stability conditions for the fixed points. Using numerical methods we describe also some global dynamic properties of the considered map. Finally, we propose an economic interpretation of the results concerning local stability analysis and global dynamics.
Lingua originaleInglese
pagine (da-a)1-30
Numero di pagine30
RivistaAnnals of Operations Research
Numero di pubblicazioneN/A
DOI
Stato di pubblicazionePubblicato - 2023

OSS delle Nazioni Unite

Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile

  1. SDG 9 - Imprese, innovazione e infrastrutture
    SDG 9 Imprese, innovazione e infrastrutture
  2. SDG 12 - Consumo e produzione responsabili
    SDG 12 Consumo e produzione responsabili

All Science Journal Classification (ASJC) codes

  • Scienze delle Decisioni Generali
  • Scienze della Gestione e Ricerca Operativa

Keywords

  • Bifurcation analysis
  • Complex dynamics
  • Environmental pollution
  • Industry location
  • New economic geography
  • Residence choice

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