IDEAS home Printed from https://ideas.repec.org/a/ags/phajad/199071.html
   My bibliography  Save this article

Price Dynamics and Cointegration in the Major Markets of Aquaculture Species in the Philippines

Author

Listed:
  • Garcia, Yolanda T.
  • Salayo, Nerissa D.

Abstract

This study explores the interdependencies of aquaculture markets in the Philippines by establishing the price cointegration between the wholesale and retail prices of three major species commonly farmed in the country, i.e., milkfish, tilapia, and shrimp. The co-movements of wholesale prices between and among key markets for each species are also investigated. Moreover, exogeneity in prices is established using the Granger-causation model to determine the existence of price leaders among these markets. These information are crucial because they may provide a better understanding of the efficiency in price formation across production and consumption centers. Thus, aquaculture producers and traders may use these information as basis for more efficient farm management and marketing decisions. Appropriate policies for the development of markets for the three aquaculture species are also identified in this study. Such policies are expected to contribute towards more efficient pricing and distribution of benefits among market players and stakeholders. These benefits are expected to manifest through the system of grading standards for fish traded in local markets, and the choice of cost-effective technologies in grow-out and post-production practices.

Suggested Citation

  • Garcia, Yolanda T. & Salayo, Nerissa D., 2009. "Price Dynamics and Cointegration in the Major Markets of Aquaculture Species in the Philippines," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 6(1), pages 1-33, June.
  • Handle: RePEc:ags:phajad:199071
    DOI: 10.22004/ag.econ.199071
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/199071/files/AJAD_2009_6_1_4Garcia.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.199071?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    2. Pierce, David A. & Haugh, Larry D., 1977. "Causality in temporal systems : Characterization and a survey," Journal of Econometrics, Elsevier, vol. 5(3), pages 265-293, May.
    3. Larry D. Haugh & David A. Pierce, 1977. "Causality in temporal systems: characterizations and a survey," Special Studies Papers 87, Board of Governors of the Federal Reserve System (U.S.).
    4. Jones, William O., 1974. "Regional Analysis and Agricultural Marketing Research in Tropical Africa: Concepts and Experience," Food Research Institute Studies, Stanford University, Food Research Institute, vol. 13(1), pages 1-26.
    5. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    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. Briones, Roehlano M., 2017. "The Fertilizer Industry and Philippine Agriculture: Policies, Problems, and Priorities," Philippine Journal of Development PJD 2016 Vol. 43 No. 1b, Philippine Institute for Development Studies.
    2. Zhang, Xiaoyu & Liu, Yongfu, 2020. "The dynamic impact of international agricultural commodity price fluctuation on Chinese agricultural commodity prices," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(3), August.
    3. Jia-Jan Lee, 2019. "The Study on the Correlation between Wholesale Price and Trading Volume in Taiwan Milkfish Market," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 7(2), pages 73-81, June.

    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. Ghassan, Hassan B. & ElHafidi, Miloud, 1999. "Tests de G-causalité et spécification d’un modèle économétrique: Application sur un panel sectoriel marocain [G-causality tests and specification of an econometric model: Evidence form Sectoral Mor," MPRA Paper 56433, University Library of Munich, Germany, revised 13 Jan 2000.
    2. Nidhal Mgadmi & Houssem Rachdi & Hichem Saidi & Khaled Guesmi, 2019. "On the Instability of Tunisian Money Demand: Some Empirical Issues with Structural Breaks," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(1), pages 153-165, March.
    3. Zhao, Xiaoli & Ma, Qian & Yang, Rui, 2013. "Factors influencing CO2 emissions in China's power industry: Co-integration analysis," Energy Policy, Elsevier, vol. 57(C), pages 89-98.
    4. Phipps, Tim, 1982. "Farmland Prices and the Return to Land: An Application of Causality Testing," 1982 Annual Meeting, August 1-4, Logan, Utah 279162, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. S. Gurcan Gulen, 1996. "Is OPEC a Cartel? Evidence from Cointegration and Causality Tests," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 43-57.
    6. Allan Fels & Tran Van Hoa, 1981. "Causal Relationships in Australian Wage Inflation and Minimum Award Rates," The Economic Record, The Economic Society of Australia, vol. 57(1), pages 23-34, March.
    7. Andrea Silvestrini & David Veredas, 2008. "Temporal Aggregation Of Univariate And Multivariate Time Series Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 458-497, July.
    8. Walter C. Labys & Alfred Maizels, 1990. "Commodity Price Fluctuations and Macro-economic Adjustments in the Developed Countries," WIDER Working Paper Series wp-1990-088, World Institute for Development Economic Research (UNU-WIDER).
    9. McCrorie, J. Roderick & Chambers, Marcus J., 2006. "Granger causality and the sampling of economic processes," Journal of Econometrics, Elsevier, vol. 132(2), pages 311-336, June.
    10. Cheng Hsiao, 1977. "Money And Income, Causality Detection," NBER Working Papers 0167, National Bureau of Economic Research, Inc.
    11. R. Jeffery Green & Gary R. Albrecht, 1979. "Testing for Causality in Regional Econometric Models," International Regional Science Review, , vol. 4(2), pages 155-164, December.
    12. Tsai, Grace Yueh-Hsiang, 1989. "A dynamic model of the U.S. cotton market with rational expectations," ISU General Staff Papers 1989010108000012168, Iowa State University, Department of Economics.
    13. Chen, Chung & Wu, Chunchi, 1999. "The dynamics of dividends, earnings and prices: evidence and implications for dividend smoothing and signaling," Journal of Empirical Finance, Elsevier, vol. 6(1), pages 29-58, January.
    14. Lamm, R. McFall Jr., 1980. "Effects of Government Policy on Agriculture: An Empirical Analysis," Economics Statistics and Cooperative Services (ESCS) Reports 329209, United States Department of Agriculture, Economic Research Service.
    15. Abdur R. Chowdhury, 1991. "A Causal Analysis of Defense Spending and Economic Growth," Journal of Conflict Resolution, Peace Science Society (International), vol. 35(1), pages 80-97, March.
    16. Fatai, K & Oxley, Les & Scrimgeour, F.G, 2004. "Modelling the causal relationship between energy consumption and GDP in New Zealand, Australia, India, Indonesia, The Philippines and Thailand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 431-445.
    17. repec:cte:werepe:we1212 is not listed on IDEAS
    18. Dufour, Jean-Marie & Pelletier, Denis & Renault, Eric, 2006. "Short run and long run causality in time series: inference," Journal of Econometrics, Elsevier, vol. 132(2), pages 337-362, June.
    19. Jacques Mairesse & Alan K. Siu, 1984. "An Extended Accelerator Model of R&D and Physical Investment," NBER Chapters, in: R&D, Patents, and Productivity, pages 271-298, National Bureau of Economic Research, Inc.
    20. Harvey Starr & Francis W. Hoole & Jeffrey A. Hart & John R. Freeman, 1984. "The Relationship between Defense Spending and Inflation," Journal of Conflict Resolution, Peace Science Society (International), vol. 28(1), pages 103-122, March.
    21. Marc Hallin & Abdessamad Saidi, 2005. "Testing Non‐Correlation and Non‐Causality between Multivariate ARMA Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(1), pages 83-105, January.

    More about this item

    Keywords

    Agricultural and Food Policy;

    Statistics

    Access and download statistics

    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:ags:phajad:199071. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/searcph.html .

    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.