Skip to main content

Production Technologies

  • Chapter
  • First Online:
Productivity and Efficiency Analysis
  • 2275 Accesses

Abstract

To explain variations in managerial performance, we need to know something about what can and cannot be produced using different production technologies. In this book, a production technology (or simply ‘technology’) is defined as a technique, method or system for transforming inputs into outputs. For most practical purposes, it is convenient to think of a technology as a book of instructions, or recipe. In this book, the set of technologies that exist in a given period is referred to as a technology set. If we think of a technology as a book of instructions, then we can think of a technology set as a library. The input-output combinations that are possible using different technologies can be represented by output sets, input sets and production possibilities sets. Under certain conditions, they can also be represented by distance, revenue, cost and profit functions. This chapter defines, and discusses the properties of, these different sets and functions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Coelli et al. (2005, p. 192) refer to strongly disposable environmental variables as ‘positive effect’ environmental variables.

  2. 2.

    The reference vectors in O11 and O13 are arbitrary. Vectors of ones have been chosen here for notational convenience. The choice of reference period in O13 is also arbitrary. Again, period 1 has been chosen for notational convenience.

  3. 3.

    In I12 and I14, the reference vectors are again arbitrary. In I14, the choice of reference period is also arbitrary.

  4. 4.

    If O1 and O2 are true, then DO1 and DO2 are true. The first part of DO3 is obvious. The last two parts of DO3 are equivalent to D\(_o\).1 and D\(_o\).5 in Färe and Primont (1995, pp. 17, 18) . DO4 \(\Leftrightarrow \) \(\nabla .7\) in Shephard (1970 , pp. 208, 211) which is satisfied under D\(_o\).4 in Färe and Primont (1995) . DO2 and O4 \(\Rightarrow \) DO5. DO5 is equivalent to D\(_o\).4 in Färe and Primont (1995).

  5. 5.

    O6s \(\Rightarrow \) DO6 and O7s \(\Rightarrow \) DO7 (Shephard 1970 , proof of \(\nabla .5\) and \(\nabla .8\) on pp. 210–211). If O1, O2, O4, O5, O6s, O7s, O9s, O15 and I16 are true, then \(\overline{\text {A.1}}\)\(\overline{\text {A.8}}\) in Shephard (1970) are true. Then DO8 and DO9 follow from Shephard (1970, pp. 207, 208, Prop. 61).

  6. 6.

    Proofs of DO11 and DO13 are given in Appendix A.1 (Propositions 1 and 3).

  7. 7.

    A proof is given in Appendix A.1 (Proposition 5).

  8. 8.

    A proof is given in Appendix A.1 (Proposition 17).

  9. 9.

    I6s \(\Rightarrow \) DI6 and I7s \(\Rightarrow \) DI7 (Shephard 1970 , proof of D.4, D.5 and D.8 on pp. 68–70). If I1, I2, I4, I5, I6s, I7s, I9s, I15 and I16 are true, then \(\overline{\text {A.1}}\)\(\overline{\text {A.8}}\) in Shephard (1970) are true. Then DI4–DI9 follow from Shephard (1970, pp. 207, Proposition 60)

  10. 10.

    Proofs of DI12 and DI14 are given in Appendix A.1 (Propositions 9 and 11).

  11. 11.

    A proof is given in Appendix A.1 (Proposition 13).

  12. 12.

    A proof is given in Appendix A.1 (Proposition 18).

  13. 13.

    The term ‘technical’ is used here to distinguish the MRTS from a similar concept in consumer demand theory. In consumer demand theory, the marginal rate of substitution (MRS) is the rate at which consumers can exchange one good for another while holding utility and all other variables fixed.

  14. 14.

    Proofs of R11 and R13 are given in Appendix A.1 (Propositions 2 and 4).

  15. 15.

    A proof is given in Appendix A.1 (Proposition 6).

  16. 16.

    Proofs of C12 and C14 are given in Appendix A.1 (Propositions 10 and 12).

  17. 17.

    A proof is given in Appendix A.1 (Proposition 14).

  18. 18.

    A set is compact if it is closed and bounded. If the set of technically-feasible output-input combinations that yield nonnegative profit is compact, then profit achieves a maximum on \(T^t(z)\). This means the maximum operator can be used in (2.25) instead of the supremum operator.

  19. 19.

    See, for example,Solow ( 1957, p. 312) and Hsieh and Klenow (2009, p. 1046).

  20. 20.

    For proofs of F7s and F15, see Shephard (1970, p. 21) . Proofs of F10, F11 and F13 are left as an exercise for the reader.

  21. 21.

    In this example, changes in A(t) are attributed to the discovery of new technologies. In this book, such changes are referred to as technical change. Solow (1957) also attributes changes A(t) to technical change. However, he “[uses] the phrase ‘technical change’ as a shorthand expression for any kind of shift in the production function. Thus, speedups, improvements in the education of the labor force, and all sorts of things will appear as ‘technical change”’ (Solow 1957, p. 312).

  22. 22.

    For proofs of H6s and H16, see Shephard (1970, p. 198) . Proofs of H10, H12 and H14 are left as an exercise for the reader.

  23. 23.

    T1–T7 \(\Rightarrow \) GR.1–GR.5 in Färe et al. (1985, p. 111) . DH2–DH5 are equivalent to \(F_g.1\), \(F_g.3\), \(F_g.4\) and \(F_g.5\) in Färe et al. (1985, pp. 111, 112) (respectively). A function F(xy) is said to be almost homogeneous of degree a, b, and c, respectively, if and only if \(F(\lambda ^ax,\lambda ^by)=\lambda ^cF(x,y)\) for any \(\lambda >0\) (Lau 1972, p. 282).

  24. 24.

    O’Donnell (2016) refers to a technology set as a ‘metatechnology’. This terminology is common in the metafrontier literature. See, for example, Casu et al. (2013).

  25. 25.

    Shephard (1970) and Kumbhakar and Lovell (2000) refer to production possibilities sets as graphs; Färe and Primont (1995) and Coelli et al. (2005) refer to them as technology sets.

  26. 26.

    Humphrey and Pulley (1997) refer to their nonstandard profit function as an ‘alternative indirect profit function’.

References

  • Badin L, Daraio C, Simar L (2012) How to measure the impact of environmental factors in a nonparametric production model. Eur J Oper Res 223(3):818–833

    Article  Google Scholar 

  • Balk B (1998) Industrial price, quantity, and productivity indices: the micro-economic theory and an application. Kluwer Academic Publishers, Boston

    Book  Google Scholar 

  • Caselli F, Coleman W (2006) The world technology frontier. Am Econ Rev 93(3):499–522

    Article  Google Scholar 

  • Casu B, Ferrari A, Zhao T (2013) Regulatory reform and productivity change in Indian banking. Rev Econ Stat 95(3):1066–1077

    Article  Google Scholar 

  • Chambers R, Quiggin J (2000) Uncertainty, production, choice and agency: the state-contingent approach. Cambridge University Press, Cambridge

    Google Scholar 

  • Chambers R, Chung Y, Färe R (1996) Benefit and distance functions. J Econ Theory 70:407–419

    Article  Google Scholar 

  • Chambers R, Chung Y, Färe R (1998) Profit, directional distance functions, and Nerlovian efficiency. J Optim Theory Appl 98(2):351–364

    Article  Google Scholar 

  • Coelli T, Rao D, O’Donnell C, Battese G (2005) An introduction to efficiency and productivity analysis, 2nd edn. Springer, New York

    Google Scholar 

  • Cuesta R, Zofio J (2005) Hyperbolic efficiency and parametric distance functions: with application to Spanish savings banks. J Prod Anal 24(1):31–48

    Article  Google Scholar 

  • Färe R, Grosskopf S (2000) Theory and application of directional distance functions. J Prod Anal 13(2000):93–103

    Article  Google Scholar 

  • Färe R, Primont D (1994) The unification of Ronald W. Shephard’s duality theory. J Econ 60(2):199–207

    Article  Google Scholar 

  • Färe R, Primont D (1995) Multi-output production and duality: theory and applications. Kluwer Academic Publishers, Boston

    Book  Google Scholar 

  • Färe R, Grosskopf S, Lovell C (1985) The measurement of efficiency of production. Kluwer Academic Publishers, Boston

    Book  Google Scholar 

  • Färe R, Grosskopf S, Lovell C (1986) Scale economies and duality. J Econ 46(2):175–182

    Article  Google Scholar 

  • Färe R, Grosskopf S, Lovell C, Yaisawarng S (1993) Derivation of shadow prices for undesirable outputs: a distance function approach. Rev Econ Stat 75(2):374–380

    Article  Google Scholar 

  • Färe R, Grosskopf S, Zaim O (2002) Hyperbolic efficiency and return to the dollar. Eur J Oper Res 136(3):671–679

    Article  Google Scholar 

  • Fried H, Lovell CAK, Schmidt S (2008) Efficiency and productivity. In: Fried H, Lovell CAK, Schmidt S (eds) The measurement of productive efficiency and productivity growth. Oxford University Press, New York, pp 3–91

    Chapter  Google Scholar 

  • Griliches Z (1987) Productivity: measurement problems. In: Eatwell J, Milgate M, Newman P (eds) The new Palgrave: a dictionary of economics, 1st edn. Palgrave Macmillan, New York

    Google Scholar 

  • Hsieh CT, Klenow P (2009) Misallocation and manufacturing TFP in China and India. Q J Econ 124(4):1403–1448

    Article  Google Scholar 

  • Humphrey DB, Pulley LB (1997) Banks’ responses to deregulation: profits, technology, and efficiency. J Money Credit Bank 29(1):73–93

    Article  Google Scholar 

  • Kumbhakar S (2006) Specification and estimation of nonstandard profit functions. Empir Econ 31(1):243–260

    Article  Google Scholar 

  • Kumbhakar S, Lovell C (2000) Stochastic frontier analysis. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Lau L (1972) Profit functions of technologies with multiple inputs and outputs. Rev Econ Stat 54(3):281–289

    Article  Google Scholar 

  • Luenberger D (1992) New optimality principles for economic efficiency and equilibrium. J Optim Theory Appl 75(2):221–264

    Article  Google Scholar 

  • O’Donnell C (2016) Using information about technologies, markets and firm behaviour to decompose a proper productivity index. J Econ 190(2):328–340

    Article  Google Scholar 

  • O’Donnell C, Rao D, Battese G (2008) Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empir Econ 34(2):231–255

    Article  Google Scholar 

  • O’Donnell C, Fallah-Fini S, Triantis K (2017) Measuring and analysing productivity change in a metafrontier framework. J Prod Anal 47(2):117–128

    Article  Google Scholar 

  • Rasmussen S (2003) Criteria for optimal production under uncertainty. The state-contingent approach. Aust J Agric Resour Econ 47(4):447–476

    Article  Google Scholar 

  • Shephard R (1953) Cost and production functions. Princeton University Press, Princeton

    Google Scholar 

  • Shephard R (1970) The theory of cost and production functions. Princeton University Press, Princeton

    Google Scholar 

  • Solow R (1957) Technical change and the aggregate production function. Rev Econ Stat 39(3):312–320

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christopher J. O’Donnell .

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

O’Donnell, C.J. (2018). Production Technologies. In: Productivity and Efficiency Analysis. Springer, Singapore. https://doi.org/10.1007/978-981-13-2984-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-2984-5_2

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2982-1

  • Online ISBN: 978-981-13-2984-5

  • eBook Packages: Economics and FinanceEconomics and Finance (R0)

Publish with us

Policies and ethics