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Depreciation and Income Tax Considerations under Fuzziness

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Book cover Fuzzy Engineering Economics with Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 233))

Abstract

Depreciation is an income tax deduction that allows a taxpayer to recover the cost of property or assets placed in service. Straight line depreciation is the most frequently used method of depreciating new equipment for financial statements. Accelerated cost recovery systems include the methods like declining balance depreciation and sum-of-years digits depreciation. Incomplete information about the future values of the parameters in an after-tax rate of return analysis causes us to use the fuzzy set theory. This chapter includes the fuzzy after-tax cash flow analyses in case of fuzzy cash flows, fuzzy depreciation, fuzzy tax rate, and fuzzy minimum attractive rate of return with numerical examples.

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References

  • Berg, M., Waegenaere, A.D., Wielhouwer, J.L.: Optimal tax depreciation with uncertain future cash flows. European Journal of Operational Research 132, 197–209 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  • Hartman, J.C., Liedtka, S.L., Snyder, L.V.: The impact of US tax depreciation law on asset location and ownership decisions. Computers & Operations Research 34(12), 3560–3568 (2007)

    Article  MATH  Google Scholar 

  • Jacco, L., Wielhouwer, A.D., Waegenaere, P., Kort, M.: Optimal tax depreciation under a progressive tax system. Journal of Economic Dynamics & Control 27, 243–269 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  • Joseph, C.H., Stephen, L.L., Lawrence, V.S.: The impact of US tax depreciation law on asset location and ownership decisions. Computers & Operations Research 34, 3560–3568 (2007)

    Article  MATH  Google Scholar 

  • Keating, A.S., Zimmerman, J.L.: Depreciation-policy changes: tax, earnings management, and investment opportunity incentives. Journal of Accounting and Economics 28(3), 359–389 (1999)

    Article  Google Scholar 

  • Wang, M.J., Liang, G.S.: Benefit/Cost analysis using fuzzy concept. Engineering Economist 40(4), 359–377 (1995)

    Article  Google Scholar 

  • Newnan, D.G., Lavelle, J.P.: Essentials of engineering economic analysis. Oxford University Press, Oxford (1998)

    Google Scholar 

  • Robinson, J.: After tax cash flow analysis. Journal of Property Valuation and Investment 5(1), 18–29 (1987)

    Article  Google Scholar 

  • Scott, K., Jerold, L.Z.: Depreciation-policy changes: tax, earnings management, and investment opportunity incentives. Journal of Accounting and Economics 28, 359–389 (2000)

    Google Scholar 

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Cengiz Kahraman

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© 2008 Springer-Verlag Berlin Heidelberg

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Kahraman, C., Kaya, İ. (2008). Depreciation and Income Tax Considerations under Fuzziness. In: Kahraman, C. (eds) Fuzzy Engineering Economics with Applications. Studies in Fuzziness and Soft Computing, vol 233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70810-0_10

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  • DOI: https://doi.org/10.1007/978-3-540-70810-0_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70809-4

  • Online ISBN: 978-3-540-70810-0

  • eBook Packages: EngineeringEngineering (R0)

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