Risk induced resource dependency in capacity investments

A capacity acquisition process is resource dependent when the existing resources impact the valuation of new resources and thereby influence the investment decision. Following a formal analysis of resource dependency, we show that uncertainty and aversion to risks are sufficient conditions for resource dependent capacity acquisition. Distinct from the technology lock-in effects of increasing returns to scale or learning, risk aversion can induce diversity. We develop a stochastic programming framework and solve the optimization problem by decomposing the problem into investment and operational horizon subproblems. Our computational results for an application to the electricity sector show, inter alia, that technology choices between low carbon and fossil fuel technologies, as well as their investment timings, are dependent upon the resource bases of the companies, with scale, debt leverage and uncertainty effects increasing resource dependency. Particularly, we show that resource dependency can significantly impact the optimal investment decisions and we argue that it should be evaluated at both company and policy levels of analysis.

[1]  Dimitri P. Bertsekas,et al.  Dynamic Programming and Optimal Control, Two Volume Set , 1995 .

[2]  David N. Nawrocki A Brief History of Downside Risk Measures , 1999 .

[3]  Lihua Yu,et al.  Asset price modeling: decision aids for scheduling and hedging (DASH) in deregulated electricity markets: a stochastic programming approach to power portfolio optimization , 2002, WSC '02.

[4]  Dawn Hunter,et al.  An integrated CVaR and real options approach to investments in the energy sector , 2008 .

[5]  Liu Yang,et al.  Flexible capacity strategy with multiple market periods under demand uncertainty and investment constraint , 2014, Eur. J. Oper. Res..

[6]  D. Bunn Modelling prices in competitive electricity markets , 2004 .

[7]  M. Basseville Distance measures for signal processing and pattern recognition , 1989 .

[8]  James S. Dyer,et al.  Discrete time modeling of mean-reverting stochastic processes for real option valuation , 2008, Eur. J. Oper. Res..

[9]  A. Lemelin,et al.  Relatedness in the Patterns of Interindustry Diversification , 1982 .

[10]  S. Uryasev,et al.  Introduction to the Theory of Probabilistic Functions and Percentiles (Value-at-Risk) , 2000 .

[11]  D. North Competing Technologies , Increasing Returns , and Lock-In by Historical Events , 1994 .

[12]  Jan A. Van Mieghem,et al.  Commissioned Paper: Capacity Management, Investment, and Hedging: Review and Recent Developments , 2003, Manuf. Serv. Oper. Manag..

[13]  Werner Römisch,et al.  Optimization of Dispersed Energy Supply —Stochastic Programming with Recombining Scenario Trees , 2009 .

[14]  M. L. Tennican,et al.  Cashflow-at-Risk and Financial Policy for Electricity Companies in the New World Order , 2000 .

[15]  J. Michael Harrison,et al.  Multi-Resource Investment Strategies: Operational Hedging Under Demand Uncertainty , 1997, Eur. J. Oper. Res..

[16]  Mike Wright,et al.  The Development of the Resource-based View: Reflections from Birger Wernerfelt 1 , 2008 .

[17]  Philippe Artzner,et al.  Coherent Measures of Risk , 1999 .

[18]  G. Friedl Copeland, Tom/Antikarov, Vladimir, Real Options. A Practitioner’s Guide, Texere LLC, New York 2001, $ 59,95 , 2002 .

[19]  Karel Cool,et al.  Asset stock accumulation and sustainability of competitive advantage , 1989 .

[20]  W. Arthur,et al.  INCREASING RETURNS AND LOCK-IN BY HISTORICAL EVENTS , 1989 .

[21]  T. Copeland Real Options: A Practitioner's Guide , 2001 .

[22]  Albert Banal-Estañol,et al.  Composition of Electricity Generation Portfolios, Pivotal Dynamics, and Market Prices , 2009, Manag. Sci..

[23]  John R. Birge,et al.  Introduction to Stochastic programming (2nd edition), Springer verlag, New York , 2011 .

[24]  Albert Corominas,et al.  A review of mathematical programming models for strategic capacity planning in manufacturing , 2014 .

[25]  Panos Parpas,et al.  A stochastic multiscale model for electricity generation capacity expansion , 2013, Eur. J. Oper. Res..

[26]  R. Cowan,et al.  Sprayed to Death: Path Dependence, Lock-in and Pest Control Strategies , 1996 .

[27]  R. Rockafellar,et al.  Optimization of conditional value-at risk , 2000 .

[28]  Thomas Dangl,et al.  Investment and capacity choice under uncertain demand , 1999, Eur. J. Oper. Res..

[29]  E. L. Cox,et al.  Guest editors\' introduction to the special issue: why is there a resource-based view? Toward a theory of competitive heterogeneity , 2003 .

[30]  Bart J. Wilson,et al.  Bertrand-Edgeworth Competition, Demand Uncertainty, and Asymmetric Outcomes , 2000, J. Econ. Theory.

[31]  Linus Schrage,et al.  OR Practice - A Scenario Approach to Capacity Planning , 1989, Oper. Res..

[32]  Steve Thompson,et al.  Deregulation, Firm Capabilities and Diversifying Entry Decisions: The Case of Financial Services , 1995 .

[33]  Aie World Energy Outlook 2011 , 2001 .

[34]  D. Bunn,et al.  Investment Propensities under Carbon Policy Uncertainty , 2011 .