Tradeoffs between costly capacity investment and risk of regime shift |
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Affiliation: | 1. Department of Management, Università Politecnica delle Marche, Ancona, Italy;2. Department of Economics and Social Science, Università Politecnica delle Marche, Ancona, Italy;1. Faculty of Economics, Fukuoka University, 8-19-1, Nanakuma, Jonan-ku, Fukuoka, 814-0180, Japan;2. Faculty of International Politics and Economics, Nishogakusha University, 6-16 Sanbancho, Chiyoda-ku, Tokyo, 102-8336, Japan;1. Department of Financial Engineering, Ajou University, Suwon, 16499, Republic of Korea;2. Department of Applied Mathematics & Institute of Natural Science, Kyung Hee University, Yongin, 17104, Republic of Korea;3. Department of Mathematical Sciences, Seoul National University, Seoul, 08826, Republic of Korea;1. Texas A&M University, Department of Finance, Mays Business School, College Station, TX, 77843, USA;2. University of Valladolid (Spain), NRU Higher School of Economics (Russia), School of Business and Economics, Avda. Valle Del Esgueva 6, 47011, Valladolid, Spain;3. University of Valladolid, School of Business and Economics, Avda. Valle Del Esgueva 6, 47011, Valladolid, Spain |
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Abstract: | There is mounting evidence that increasing natural resource exploitation (e.g., fossil fuel extraction and consumption) could trigger irreversible dramatic ecological events like global warming. While capacity investment costs and the possibility to produce at full capacity are two factors that critically affect the exploitation rate, little is known about their effect on management. I generalize standard models of pollution control under the threat of dramatic regime shifts to investigate how optimal management changes with both factors. My analysis reveals that accounting for such factors gives rise to investment and emissions policies that challenge conventional wisdom. For instance, I find that under reasonable conditions, an exogenous threat of a doomsday event induces a cautious management strategy. Using parameters estimated from climatic data, my analysis shows that raising the discount rate can induce lower emissions, highlighting the complex interplay between the threat and both factors. |
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Keywords: | Costly capacity adjustment Uncertainty Optimal management Pollution control Regime shifts C61 D81 Q54 Q58 |
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