It takes time to produce commodities, and different production technologies may take different lengths of time. Suppose that firms may switch between different production technologies that take different lengths of time. A natural implication of such a scenario is that not all firms would then offer their commodities in every period, i.e. firms’ total supply schedule would become a time-varying quantity. Based on a behavioral cobweb framework, we analytically demonstrate that commodity markets become unstable when firms switch too rapidly between production technologies that take different lengths of time. In particular, we observe that supply distortions lead to endogenous commodity price dynamics due to a mismatch between supply and demand.

Production delays, supply distortions and endogenous price dynamics / Dieci R.; Mignot S.; Schmitt N.; Westerhoff F.. - In: COMMUNICATIONS IN NONLINEAR SCIENCE & NUMERICAL SIMULATION. - ISSN 1007-5704. - STAMPA. - 117:(2023), pp. 106887.1-106887.18. [10.1016/j.cnsns.2022.106887]

Production delays, supply distortions and endogenous price dynamics

Dieci R.;
2023

Abstract

It takes time to produce commodities, and different production technologies may take different lengths of time. Suppose that firms may switch between different production technologies that take different lengths of time. A natural implication of such a scenario is that not all firms would then offer their commodities in every period, i.e. firms’ total supply schedule would become a time-varying quantity. Based on a behavioral cobweb framework, we analytically demonstrate that commodity markets become unstable when firms switch too rapidly between production technologies that take different lengths of time. In particular, we observe that supply distortions lead to endogenous commodity price dynamics due to a mismatch between supply and demand.
2023
Production delays, supply distortions and endogenous price dynamics / Dieci R.; Mignot S.; Schmitt N.; Westerhoff F.. - In: COMMUNICATIONS IN NONLINEAR SCIENCE & NUMERICAL SIMULATION. - ISSN 1007-5704. - STAMPA. - 117:(2023), pp. 106887.1-106887.18. [10.1016/j.cnsns.2022.106887]
Dieci R.; Mignot S.; Schmitt N.; Westerhoff F.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/905762
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