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Title:           Business cycles, sectoral price stabilization, and climate change mitigation: A model of multi-sector growth in the tradition of the Bielefeld disequilibrium approach
Subject:         Journal of Economic Behavior and Organization, 216 (2023) 636-653. doi:10.1016/j.jebo.2023.09.023
Keywords:        Microeconomic adjustment processes,Data-driven dynamical systems,Multi-sector growth,Sector-oriented policies,Structural change,Low-carbon transition
Author:          Oriol Vallès Codina
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      Title: of the Bielefeld disequilibrium approach
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        Title: 1 Introduction
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        Title: 2 Microeconomic behavior and the input-output structure of production
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        Title: 3 A data-driven dynamical system in the tradition of the Bielefeld disequilibrium approach
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          Title: 3.1 General mathematical formulation
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          Title: 3.2 Equilibrium
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            Title: 3.2.1 Quantities
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            Title: 3.2.2 Prices
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          Title: 3.3 Walrasian law of excess demand
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          Title: 3.4 Classical law of excess profitability and cross-dual oscillations
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          Title: 3.5 Keynesian stabilizing dual effects
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          Title: 3.6 Dynamic stability
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        Title: 4 The network structure of sectoral interactions in prices and quantities
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        Title: 5 Econometric estimation of the adjustment coefficients
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          Title: 5.1 Setup
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          Title: 5.2 Challenges
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          Title: 5.3 Results
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          Title: 5.4 Stability
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        Title: 6 Ecological applications: price stabilization and climate change mitigation
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          Title: 6.1 Price and quantity controls
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          Title: 6.2 Tax-subsidy schemes
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        Title: 7 Conclusions
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        Title: Declaration of competing interest
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       Item: 
        Title: Data availability
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       Item: 
        Title: Acknowledgements
        Destination: jebo6349.section.7:45
       Item: 
        Title: References
        Destination: jebo6349.section.7:46
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   Type: CRC32
  Checksum: a5bf76681b2306e7766824ab5e4e7c86
   Type: MD5
  Checksum: a5e790b01c31d19d1a5613af2efe3036ac078813
   Type: SHA-1
  Checksum: 3ffcbd80f41d083c90718f3e126827eb60190912980cdb49d4302315175d6001
   Type: SHA-256