IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v7y2019i3p78-d255165.html
   My bibliography  Save this article

The Evolution of the Key Sectors in the Philippine Economy Using an AHP-Based Sector Prioritization Index

Author

Listed:
  • Daryn Joy Go

    (School of Economics, De La Salle University, Manila 0922, Philippines)

  • Michael Angelo Promentilla

    (Chemical Engineering Department, De La Salle University, Manila 0922, Philippines
    Center for Engineering and Sustainable Development Research, De La Salle University, Manila 0922, Philippines)

  • Kathleen Aviso

    (Chemical Engineering Department, De La Salle University, Manila 0922, Philippines
    Center for Engineering and Sustainable Development Research, De La Salle University, Manila 0922, Philippines)

  • Krista Danielle Yu

    (School of Economics, De La Salle University, Manila 0922, Philippines)

Abstract

Economic sectors play a vital role in ensuring that government’s goals are achieved. This study analyzes the evolution of the structure and key sectors of an economy through the use of a sector prioritization index. This methodology integrates input-output analysis and analytic hierarchy process to determine the structural changes experienced by the economy, while accounting for the changes in the government’s priorities and concerns over time. Using the case of the Philippines from 1969 to 2012, this study shows a time-series analysis of the transformation that the economy underwent alongside with the government’s prioritization mechanism. We found that the manufacturing sector had consistently received high-priority rankings, while the agriculture sector had recently moved from a high- to mid-priority ranking, indicating the country’s shift towards a more industry-driven economy. These findings were supported by the private services and trade sectors’ high-priority rankings towards the latter half of the time period. Overall, our methodology was able to identify key sectors that reflect the country’s economic and political situation across different eras.

Suggested Citation

  • Daryn Joy Go & Michael Angelo Promentilla & Kathleen Aviso & Krista Danielle Yu, 2019. "The Evolution of the Key Sectors in the Philippine Economy Using an AHP-Based Sector Prioritization Index," Economies, MDPI, vol. 7(3), pages 1-20, August.
    • Handle: RePEc:gam:jecomi:v:7:y:2019:i:3:p:78-:d:255165
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/7/3/78/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7099/7/3/78/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nedelyn Magtibay‐Ramos & Gemma Esther Estrada & Jesus Felipe, 2011. "Exploring the Philippine economic landscape and structural change using the input‐output framework," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 10(1), pages 34-59, April.
    2. Eichhorn, W, 1976. "Fisher's Tests Revisited," Econometrica, Econometric Society, vol. 44(2), pages 247-256, March.
    3. Alvaro Domínguez & Carlos Mendez, 2019. "Industrial Productivity Divergence and Input-Output Network Structures: Evidence from Japan 1973–2012," Economies, MDPI, vol. 7(2), pages 1-14, May.
    4. Yasuhide Okuyama & Krista D. Yu, 2019. "Return of the inoperability," Economic Systems Research, Taylor & Francis Journals, vol. 31(4), pages 467-480, October.
    5. Krista Danielle S. Yu & Raymond R. Tan & Kathleen B. Aviso & Michael Angelo B. Promentilla & Joost R. Santos, 2014. "A Vulnerability Index For Post-Disaster Key Sector Prioritization," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 81-97, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Domínguez, Alvaro & Santos-Marquez, Felipe & Mendez, Carlos, 2021. "Sectoral productivity convergence, input-output structure and network communities in Japan," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 582-599.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wakiyama, Takako & Zusman, Eric, 2021. "The impact of electricity market reform and subnational climate policy on carbon dioxide emissions across the United States: A path analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    2. W. Erwin Diewert, 1999. "Axiomatic and Economic Approaches to International Comparisons," NBER Chapters, in: International and Interarea Comparisons of Income, Output, and Prices, pages 13-107, National Bureau of Economic Research, Inc.
    3. Hoa Thi Nguyen & Naoya Kojima & Akihiro Tokai, 2019. "An input–output linear programming model for assessing climate policy considering economic growth," Environment Systems and Decisions, Springer, vol. 39(1), pages 34-48, March.
    4. Christopher O’Donnell, 2022. "How to Build Sustainable Productivity Indexes," CEPA Working Papers Series WP102022, School of Economics, University of Queensland, Australia.
    5. Domínguez, Alvaro & Santos-Marquez, Felipe & Mendez, Carlos, 2021. "Sectoral productivity convergence, input-output structure and network communities in Japan," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 582-599.
    6. Rolf Färe & Valentin Zelenyuk, 2020. "POn Fisher Aggregation of Multi-factor Productivity Indexes," CEPA Working Papers Series WP082020, School of Economics, University of Queensland, Australia.
    7. Rolf Färe & Valentin Zelenyuk, 2021. "On aggregation of multi-factor productivity indexes," Journal of Productivity Analysis, Springer, vol. 55(2), pages 107-133, April.
    8. Jian Jin & Haoran Zhou, 2023. "A Demand-Side Inoperability Input–Output Model for Strategic Risk Management: Insight from the COVID-19 Outbreak in Shanghai, China," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
    9. Richard Grabowski, 2015. "Economic strategy and agricultural productivity," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 17(2), pages 167-183, October.
    10. W. Diewert & Alice Nakamura, 2003. "Index Number Concepts, Measures and Decompositions of Productivity Growth," Journal of Productivity Analysis, Springer, vol. 19(2), pages 127-159, April.
    11. Diego Casado-Mansilla & Apostolos C. Tsolakis & Cruz E. Borges & Oihane Kamara-Esteban & Stelios Krinidis & Jose Manuel Avila & Dimitrios Tzovaras & Diego López-de-Ipiña, 2020. "Socio-Economic Effect on ICT-Based Persuasive Interventions Towards Energy Efficiency in Tertiary Buildings," Energies, MDPI, vol. 13(7), pages 1-26, April.
    12. Feng, Guohua & Serletis, Apostolos, 2008. "Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions," Journal of Econometrics, Elsevier, vol. 142(1), pages 281-311, January.
    13. Baumgärtner, Fabienne, 2020. "Elemente und Vorgehensweisen von Influencer Relations," Working Papers for Marketing & Management 46, Offenburg University, Department of Media and Information.
    14. Krista Danielle S. Yu & Kathleen B. Aviso & Michael Angelo B. Promentilla & Joost R. Santos & Raymond R. Tan, 2016. "A weighted fuzzy linear programming model in economic input–output analysis: an application to risk management of energy system disruptions," Environment Systems and Decisions, Springer, vol. 36(2), pages 183-195, June.
    15. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    16. Joost R. Santos & John Frederick D. Tapia & Albert Lamberte & Christine Alyssa Solis & Raymond R. Tan & Kathleen B. Aviso & Krista Danielle S. Yu, 2022. "Uncertainty Analysis of Business Interruption Losses in the Philippines Due to the COVID-19 Pandemic," Economies, MDPI, vol. 10(8), pages 1-18, August.
    17. Krista Danielle S. Yu & Raymond R. Tan & Kathleen B. Aviso & Michael Angelo B. Promentilla & Joost R. Santos, 2014. "A Vulnerability Index For Post-Disaster Key Sector Prioritization," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 81-97, March.
    18. Chopra, Shauhrat S. & Khanna, Vikas, 2015. "Interconnectedness and interdependencies of critical infrastructures in the US economy: Implications for resilience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 865-877.
    19. W. Erwin Diewert, 1995. "Price and Volume Measures in the System of National Accounts," NBER Working Papers 5103, National Bureau of Economic Research, Inc.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jecomi:v:7:y:2019:i:3:p:78-:d:255165. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.