Advertisement

Future Research Prospects for Input–Output Models

  • Raymond R. TanEmail author
  • Kathleen B. Aviso
  • Michael Angelo B. Promentilla
  • Krista Danielle S. Yu
  • Joost R. Santos
Chapter
Part of the Lecture Notes in Management and Industrial Engineering book series (LNMIE)

Abstract

In this chapter, the potential for further research developments in input–output analysis is discussed. Promising methods (e.g., AHP) for calibrating input–output models are presented to complement mainstream statistical approaches for estimating the coefficients of the model. The prospect of combining input–output analysis with other optimization techniques, such as P-graph and pinch analysis, is also discussed. Finally, this chapter provides reflections on the possible application of extended input–output models to contemporary issues such as climate change or emerging sustainability concepts such as the circular economy.

Keywords

Analytic hierarchy process (AHP) Artificial neural network P-graph Pinch analysis Circular economy 

References

  1. 1.
    Cayamanda CD, Aviso KB, Biona JBM, Culaba AB, Promentilla MAB, Tan RR, Ubando AT (2017) Mapping a low-carbon future for the Philippines: scenario results from a fractional programming input–output model. Process Integr Optim Sustain 1:293–299CrossRefGoogle Scholar
  2. 2.
    Buckley JJ (1989) Fuzzy input–output analysis. Eur J Oper Res 39:54–60MathSciNetCrossRefGoogle Scholar
  3. 3.
    Saaty TL, Vargas LG (1979) Estimating technological coefficients by the analytic hierarchy process. Socio-Econ Plann Sci 13:333–336CrossRefGoogle Scholar
  4. 4.
    Wang S (2001) The neural network approach to input-output analysis for economic systems. Neural Comput Appl 10:22–28CrossRefGoogle Scholar
  5. 5.
    Blöchl F, Theis FJ, Vega-Redondo F, Fisher EON (2011) Vertex centralities in input–output networks reveal the structure of modern economies. Phys Rev E 83:046127CrossRefGoogle Scholar
  6. 6.
    McNerney J, Fath BD, Silverberg G (2013) Network structure of inter-industry flows. Phys A 392:6427–6441CrossRefGoogle Scholar
  7. 7.
    Schweitzer F, Fagiolo G, Sornette D, Vega-Redondo F, Vespignani A, White DR (2009) Economic networks: the new challenges. Science 325:422–425MathSciNetCrossRefGoogle Scholar
  8. 8.
    Liu X, Klemeš JJ, Varbanov PS, Čuček L, Qian Y (2017) Virtual carbon and water flows embodied in international trade: a review on consumption-based analysis. J Clean Prod 146:20–28CrossRefGoogle Scholar
  9. 9.
    Friedler F, Tarjan K, Huang YW, Fan LT (1992) Graph-theoretic approach to process synthesis: axioms and theorems. Chem Eng Sci 47:1973–1988CrossRefGoogle Scholar
  10. 10.
    Friedler F, Tarjan K, Huang YW, Fan LT (1992) Combinatorial algorithms for process synthesis. Comput Chem Eng 16:313–320CrossRefGoogle Scholar
  11. 11.
    Friedler F, Tarjan K, Huang YW, Fan LT (1993) Graph-theoretic approach to process synthesis: polynomial algorithm for maximal structure generation. Comput Chem Eng 17:929–942CrossRefGoogle Scholar
  12. 12.
    Aviso KB, Cayamanda CD, Solis FDB, Danga AMR, Promentilla MAB, Santos JR, Tan RR (2015) P-graph approach for GDP-optimal allocation of resources, commodities and capital in economic systems under climate change-induced crisis conditions. J Clean Prod 92:308–317CrossRefGoogle Scholar
  13. 13.
    Aviso KB, Cayamanda CD, Mayol AP, Yu KDS (2017) Optimizing human resource allocation in organizations during crisis conditions: a P-graph approach. Process Integr Optim Sustain 1:59–68CrossRefGoogle Scholar
  14. 14.
    Tan RR, Aviso KB, Foo DCY (2018) Carbon emissions pinch analysis of economic systems. J Clean Prod 182:863–871CrossRefGoogle Scholar
  15. 15.
    Linnhoff B, Flower JR (1978) Synthesis of heat exchanger networks. AIChE J 24:633–642CrossRefGoogle Scholar
  16. 16.
    Gabus A, Fontela E (1972) World problems, an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Center, Geneva, SwitzerlandGoogle Scholar
  17. 17.
    Prieto-Sandoval V, Jaca C, Ormazabal M (2018) Towards a consensus on the circular economy. J Clean Prod 179:605–615CrossRefGoogle Scholar
  18. 18.
    Dawkins R (1986) The blind watchmaker. W. W. Norton & Company Inc, NY, USAGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Raymond R. Tan
    • 1
    Email author
  • Kathleen B. Aviso
    • 1
  • Michael Angelo B. Promentilla
    • 1
  • Krista Danielle S. Yu
    • 2
  • Joost R. Santos
    • 3
  1. 1.Chemical Engineering DepartmentDe La Salle UniversityManilaPhilippines
  2. 2.School of EconomicsDe La Salle UniversityManilaPhilippines
  3. 3.Department of Engineering Management and SystemsGeorge Washington UniversityWashingtonUSA

Personalised recommendations