IDEAS home Printed from https://ideas.repec.org/a/ags/aolpei/188737.html
   My bibliography  Save this article

Appropriate tools of Marketing Information System for Citrus Crop in the Lattakia Region, R. A. SYRIA

Author

Listed:
  • Sulaiman, H.
  • Malec, K.
  • Maitah, Mansoor

Abstract

Citrus production represents the only livelihood source for many families in Lattakia region. Citrus farmers are not informed about expected prices. This information is crucial to make business decisions. For the farmers is necessary to take into account the spatial and temporal arbitrage of citrus harvest and storage, which may improve citrus farmer’s position in marketing chain and reduce the influence of intermediaries. The aim of the paper is to verify using of SARIMA models as a tool of Agricultural Marketing Information System for citrus price forecasting in Lattakia region, R. A. Syria. The SARIMA model were tested for citrus wholesale prices prediction at Lattakia market in the paper. SARIMA model was applied on the empirical data, obtained from the actual Marketing Information System in the Lattakia Region. Results showed that SARIMA model (2,1,0) (1,0,1)12 is suitable for seasonal prices prediction. This method is suitable to be part of AMIS. The data was processed in software Minitab.

Suggested Citation

  • Sulaiman, H. & Malec, K. & Maitah, Mansoor, 2014. "Appropriate tools of Marketing Information System for Citrus Crop in the Lattakia Region, R. A. SYRIA," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(3), pages 1-10, September.
    • Handle: RePEc:ags:aolpei:188737
    DOI: 10.22004/ag.econ.188737
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/188737/files/agris_on-line_2014_3_sulaiman_malec_maitah.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.188737?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. Mishra, G. C. & Singh, A., 2013. "A Study on Forecasting Prices of Groundnut Oil in Delhi by Arima Methodology and Artificial Neural Networks," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(3), pages 1-10, September.
    2. Ariel Dinar, 1996. "Extension Commercialization: How Much to Charge for Extension Services," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 1-12.
    3. Jenny C. Aker & Isaac M. Mbiti, 2010. "Mobile Phones and Economic Development in Africa," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 207-232, Summer.
    4. Md Zakir Hossain & Quazi Abdus Samad & Md Zulficar Ali, 2006. "ARIMA model and forecasting with three types of pulse prices in Bangladesh: a case study," International Journal of Social Economics, Emerald Group Publishing, vol. 33(4), pages 344-353, April.
    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. Gutiérrez-Romero, Roxana & Ahamed, Mostak, 2021. "COVID-19 response needs to broaden financial inclusion to curb the rise in poverty," World Development, Elsevier, vol. 138(C).
    2. Olayinka David-West & Oluwasola Oni & Folajimi Ashiru, 2022. "Diffusion of Innovations: Mobile Money Utility and Financial Inclusion in Nigeria. Insights from Agents and Unbanked Poor End Users," Information Systems Frontiers, Springer, vol. 24(6), pages 1753-1773, December.
    3. Simplice A. Asongu, 2014. "Knowledge Economy and Financial Sector Competition in African Countries," African Development Review, African Development Bank, vol. 26(2), pages 333-346, June.
    4. Chen,Rong - DECIG, 2021. "A Demand-Side View of Mobile Internet Adoption in the Global South," Policy Research Working Paper Series 9590, The World Bank.
    5. Maude Hasbi & Antoine Dubus, 2019. "Determinants of Mobile Broadband Use in Developing Economies: Evidence from Sub-Saharan Africa," Working Papers hal-02264651, HAL.
    6. Grégoire Rota-Graziosi & Fayçal Sawadogo, 2020. "The tax burden on mobile network operators in Africa," Working Papers hal-03109370, HAL.
    7. Aimable Nsabimana & Patricia Funjika, 2019. "Mobile phone use, productivity and labour market in Tanzania," WIDER Working Paper Series wp-2019-71, World Institute for Development Economic Research (UNU-WIDER).
    8. Freyburg, Tina & Garbe, Lisa & Wavre, Véronique, 2022. "The political power of internet business: A comprehensive dataset of Telecommunications Ownership and Control (TOSCO)," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Online fi, pages 1-1.
    9. Marco Manacorda & Andrea Tesei, 2020. "Liberation Technology: Mobile Phones and Political Mobilization in Africa," Econometrica, Econometric Society, vol. 88(2), pages 533-567, March.
    10. Hamza El Guili, 2018. "Internationalization of African SMEs: Context, Trends and Challenges," Proceedings of the 11th International RAIS Conference, November 19-20, 2018 020HG, Research Association for Interdisciplinary Studies.
    11. repec:ags:mididp:152396 is not listed on IDEAS
    12. Christian-Lambert Nguena, 2019. "On financial innovation in developing countries: The determinants of mobile banking and financial development in Africa," Journal of Innovation Economics, De Boeck Université, vol. 0(2), pages 69-94.
    13. repec:aer:wpaper:323 is not listed on IDEAS
    14. Abdulqadir, Idris A. & Asongu, Simplice A., 2022. "The asymmetric effect of internet access on economic growth in sub-Saharan Africa," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 44-61.
    15. Cariolle, Joël, 2021. "International connectivity and the digital divide in Sub-Saharan Africa," Information Economics and Policy, Elsevier, vol. 55(C).
    16. Bahia, Kalvin & Castells, Pau & Cruz, Genaro & Masaki, Takaaki & Pedrós, Xavier & Pfutze, Tobias & Rodríguez-Castelán, Carlos & Winkler, Hernán, 2024. "The welfare effects of mobile broadband internet: Evidence from Nigeria," Journal of Development Economics, Elsevier, vol. 170(C).
    17. Simplice Asongu & Uchenna Efobi & Ibukun Beecroft, 2015. "Inclusive Human Development in Pre-crisis Times of Globalization-driven Debts," African Development Review, African Development Bank, vol. 27(4), pages 428-442, December.
    18. Sam Njinyah & Simplice A. Asongu & Sally Jones, 2022. "The role of mobile money adoption in moderating the influence of access to finance in firm performance," Working Papers of the African Governance and Development Institute. 22/075, African Governance and Development Institute..
    19. Lechthaler, Filippo & Vinogradova, Alexandra, 2017. "The climate challenge for agriculture and the value of climate services: Application to coffee-farming in Peru," European Economic Review, Elsevier, vol. 99(C), pages 5-30.
    20. Simplice Asongu & Jacinta C Nwachukwu, 2015. "The incremental effect of education on corruption: evidence of synergy from lifelong learning," Economics Bulletin, AccessEcon, vol. 35(4), pages 2288-2308.
    21. Sekabira, Haruna & Qaim, Matin, 2017. "Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda," Food Policy, Elsevier, vol. 73(C), pages 95-103.
    22. Tihomir Orehovački & Luka Blašković & Matej Kurevija, 2022. "Evaluating the Perceived Quality of Mobile Banking Applications in Croatia: An Empirical Study," Future Internet, MDPI, vol. 15(1), pages 1-24, December.

    More about this item

    Keywords

    Crop Production/Industries; Marketing;

    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:aolpei:188737. 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/fevszcz.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.