IDEAS home Printed from https://ideas.repec.org/a/ags/pjemad/309430.html
   My bibliography  Save this article

The Effect of NFA Buffer Stocks on the Retail Price of Rice in the Philippines

Author

Listed:
  • Cuevas, Agham C.

Abstract

The study uses a Vector Error Correction model to show that a long run relationship/ causality exists between NFA stocks and world price and domestic retail price of rice in the Philippines. No short run relationship was found for NFA stocks and retail price while a short run relationship exists for world price and retail price. This implies that while NFA stocks can affect retail prices, a significant amount of time may occur before its effects are transmitted. An Autoregressive Distributed Lag-Error Correction model was also utilized. Results establish a strong short-run relationship between retail prices, total stocks, and world prices. Policywise, this result points to the importance of total supply management implying the need for proper timing in the purchase and release of NFA stocks for it to be effective in stabilizing prices

Suggested Citation

  • Cuevas, Agham C., 2019. "The Effect of NFA Buffer Stocks on the Retail Price of Rice in the Philippines," Journal of Economics, Management & Agricultural Development, Journal of Economics, Management & Agricultural Development (JEMAD), vol. 5(1), June.
    • Handle: RePEc:ags:pjemad:309430
    DOI: 10.22004/ag.econ.309430
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/309430/files/The%20Effect%20of%20NFA%20Buffer%20Stocks%20on%20the%20Retail%20Price%20of%20Rice%20in%20the%20Philippines.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.309430?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. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    2. Dawe, David C. & Moya, Piedad F. & Casiwan, Cheryll B. & Cabling, Jesusa M., 2008. "Rice marketing systems in the Philippines and Thailand: Do large numbers of competitive traders ensure good performance?," Food Policy, Elsevier, vol. 33(5), pages 455-463, October.
    3. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    4. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    5. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    Full references (including those not matched with items on IDEAS)

    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. Md.Yousuf & Raju Ahmed & Nasrin Akther Lubna & Shah Md. Sumon, 2019. "Estimating the Services Sector Impact on Economic Growth of Bangladesh: An Econometric Investigation," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 7(2), pages 62-72, June.
    2. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
    3. Bashiri Behmiri, Niaz & Pires Manso, José R., 2012. "Does Portuguese economy support crude oil conservation hypothesis?," Energy Policy, Elsevier, vol. 45(C), pages 628-634.
    4. Shabanzadeh, Mehdi & Kenari, Reza Esfanjari & Jansouz, Parinaz & Kalashami, Mohammad Kavoosi, 2016. "Bank Credits and Investment Growth of Agricultural Sector in Iran," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 6(1), March.
    5. Andries, Natalia & Billon, Steve, 2016. "Retail bank interest rate pass-through in the euro area: An empirical survey," Economic Systems, Elsevier, vol. 40(1), pages 170-194.
    6. Zhihui Lv & Amanda M. Y. Chu & Michael McAleer & Wing-Keung Wong, 2019. "Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality," IJERPH, MDPI, vol. 16(21), pages 1-35, October.
    7. Sheeba Kapil & Puneet Kaur Dhingra, 2021. "Flagging Determinants for Indian Outbound M&A," International Journal of Economics and Financial Issues, Econjournals, vol. 11(5), pages 1-10.
    8. Sulaiman, Saidu & Masih, Mansur, 2017. "Is liberalizing finance the game in town for Nigeria ?," MPRA Paper 95569, University Library of Munich, Germany.
    9. Kanjilal, Kakali & Ghosh, Sajal, 2014. "Income and price elasticity of gold import demand in India: Empirical evidence from threshold and ARDL bounds test cointegration," Resources Policy, Elsevier, vol. 41(C), pages 135-142.
    10. Lei Pan & Svetlana Maslyuk-Escobedo & Vinod Mishra, 2019. "Carry Trade Returns and Commodity Prices under Capital and Interest Rate Controls: Empirical Evidence from China," Monash Economics Working Papers 16-18, Monash University, Department of Economics.
    11. NEIFAR, MALIKA & HarzAllah, AMIRA, 2020. "Can Canadian Stock market provide complete hedge against Inflation ?," MPRA Paper 99093, University Library of Munich, Germany.
    12. Goh, Soo Khoon & McNown, Robert, 2015. "Examining the exchange rate regime–monetary policy autonomy nexus: Evidence from Malaysia," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 292-303.
    13. Sari, Ramazan & Ewing, Bradley T. & Soytas, Ugur, 2008. "The relationship between disaggregate energy consumption and industrial production in the United States: An ARDL approach," Energy Economics, Elsevier, vol. 30(5), pages 2302-2313, September.
    14. Nino Fonseca & Marcelino Sánchez-Rivero, 2020. "Significance bias in the tourism-led growth literature," Tourism Economics, , vol. 26(1), pages 137-154, February.
    15. Ertan Oktay & Giray Gozgor, 2013. "Estimation of disaggregated import demand functions for Turkey," Economics Bulletin, AccessEcon, vol. 33(1), pages 575-585.
    16. Tariq Hussain & Ahmad Raza Ul Mustafa & Makhdum M.I. & Kaleem Ullah, 2022. "Defense Expenditures, Fiscal Deficit And Debt Servicing Nexus: A Case Study Of Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 11(2), pages 74-83, June.
    17. Rıza BAYRAK & Halim TATLI, 2016. "Short and long term analysis of some factors effecting youth unemployment in Turkey," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(608), A), pages 229-242, Autumn.
    18. Tauã Vital & Daniel Morais De Souza & Jessica Faciroli, 2020. "Unemployment, poverty and police performance: an ARDL analysis of crime in São Paulo," Economics Bulletin, AccessEcon, vol. 40(1), pages 128-139.
    19. Noriega Antonio E. & Ramos Francia Manuel & Rodríguez-Pérez Cid Alonso, 2015. "Money Demand Estimations in Mexico and of its Stability 1986-2010, as well as Some Examples of its Uses," Working Papers 2015-13, Banco de México.
    20. Abdul Jalil & Samia Manan & Sundus Saleemi, 2016. "Estimating the growth effects of services sector: a cointegration analysis for Pakistan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-14, December.

    More about this item

    Keywords

    Crop Production/Industries;

    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:pjemad:309430. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/ceuplph.html .

    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/ceuplph.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.