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Modelling investment and disinvestment decisions under competition, uncertainty and different market interventions

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  • Feil, Jan-Henning
  • Musshoff, Oliver

Abstract

A real options market model is developed, which derives the firms' optimal investment and disinvestment thresholds simultaneously in a competitive environment. It combines genetic algorithms and stochastic simulation, whereby vast modelling flexibility is gained. For example, different market interventions can be integrated and their effects on the firms' investment behaviour and the sectoral welfare can be assessed. The model is validated for its application to competitive markets by numerically replicating the optimality property of myopic planning. According to the results, production ceilings and investment subsidies are preferable to price floors because the welfare is less reduced for a given stimulation of the willingness to invest. Moreover, it is shown that not considering disinvestment options, which in reality often exist, can lead to incorrect valuations of investment strategies at firm level and incorrect policy impact analyses at macroeconomic level.

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  • Feil, Jan-Henning & Musshoff, Oliver, 2013. "Modelling investment and disinvestment decisions under competition, uncertainty and different market interventions," Economic Modelling, Elsevier, vol. 35(C), pages 443-452.
  • Handle: RePEc:eee:ecmode:v:35:y:2013:i:c:p:443-452
    DOI: 10.1016/j.econmod.2013.07.026
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    Cited by:

    1. Arasteh, Abdollah, 2017. "Considering the investment decisions with real options games approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1282-1294.
    2. Adrian MICU & Angela Eliza MICU & Kamer AIVAZ & Alexandru CAPATINA, 2016. "The Genetic Approach Of Marketing Research," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 229-246.
    3. Feil, Jan-Henning & Musshoff, Oliver, 2013. "Investment, disinvestment and policy impact analysis in the dairy sector: a real options approach," Structural Change in Agriculture/Strukturwandel im Agrarsektor (SiAg) Working Papers 159229, Humboldt University Berlin, Department of Agricultural Economics.
    4. Feil, Jan-Henning & Mußhoff, Oliver, 2016. "Analysing investment and disinvestment decisions under uncertainty, firm heterogeneity and tradable output permits," DARE Discussion Papers 1602, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    5. Ihli, Hanna Julia & Gassner, Anja & Musshoff, Oliver, 2018. "Experimental insights on the investment behavior of small-scale coffee farmers in central Uganda under risk and uncertainty," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 31-44.
    6. Spiegel, Alisa & Britz, Wolfgang & Djanibekov, Utkur & Finger, Robert, 2017. "Policy analysis of perennial energy crops cultivation at the farm level: the case of short rotation coppice (SRC) in Germany," Discussion Papers 263448, University of Bonn, Institute for Food and Resource Economics.
    7. Feil, Jan-Henning & Mußhoff, Oliver, 2016. "Investment And Disinvestment Under Uncertainty, Firm Heterogeneity And Tradable Output Permits," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244756, German Association of Agricultural Economists (GEWISOLA).
    8. Kersting, Stefan & Hüttel, Silke & Odening, Martin, 2016. "Industry dynamics under production constraints — The case of the EU dairy sector," Economic Modelling, Elsevier, vol. 55(C), pages 135-151.
    9. Oulton, Nicholas & Wallis, Gavin, 2016. "Capital stocks and capital services: Integrated and consistent estimates for the United Kingdom, 1950–2013," Economic Modelling, Elsevier, vol. 54(C), pages 117-125.
    10. Kopp, Thomas & Salecker, Jan, 2020. "How traders influence their neighbours: Modelling social evolutionary processes and peer effects in agricultural trade networks," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    11. Thomas Kopp & Jan Salecker, 2018. "Modelling Social Evolutionary Processes and Peer Effects in Agricultural Trade Networks: the Rubber Value Chain in Indonesia," Papers 1811.11476, arXiv.org.
    12. Kersting, Stefan & Hüttel, Silke & Odening, Martin, 2015. "Structural change in agriculture under capacity constraints: An equilibrium approach," Thuenen-Series of Applied Economic Theory 140, University of Rostock, Institute of Economics.
    13. Chen, You-hua & Chen, Mei-xia & Mishra, Ashok K., 2020. "Subsidies under uncertainty: Modeling of input- and output-oriented policies," Economic Modelling, Elsevier, vol. 85(C), pages 39-56.
    14. Fu, Min & Xia, Jun & Fan, Xinghua & Tian, Lixin & Wang, Minggang, 2015. "New non-equilibrium cobweb dynamical evolution model and its application," Economic Modelling, Elsevier, vol. 51(C), pages 544-550.
    15. Kopp, T. & Salecker, J., 2018. "Identifying Influential Traders by Agent Based Modelling," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277130, International Association of Agricultural Economists.

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    More about this item

    Keywords

    Investment and disinvestment; Real options; Competition; Policy impact analysis;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing

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