IDEAS home Printed from https://ideas.repec.org/a/ibn/ijefaa/v8y2016i8p53.html
   My bibliography  Save this article

Enhancing Marketing Efficiency of the Saudi Dates at the National and International Markets

Author

Listed:
  • Al-Abdulkader Ahmed M.
  • Al-Kahtani Safar H.
  • Ismaiel, Sobhy M.
  • Elhendi Ahmed M.
  • Saad Ali I.
  • Alamri Yosef A.
  • Al-Dakhil Abdullah I.

Abstract

Date sector is a considerate sector worldwide with an estimated trade value equivalent to about 3.72 billion Saudi Riyals (SR) in 2013. Enhancing marketing efficiency of dates becomes imperative to nations that date sector has a special status in their economies and social heritage such that of the Kingdom of Saudi Arabia.This research paper is targeted to estimate the marketing efficiency of dates at different marketing channels qualitatively using a typical five level LIKERT scale and quantitatively using the Two-Stage Data Envelopment Analysis (2s DEA), to estimate the potential economic impact of improving marketing efficiency on the date marketing channels and on the national economy, and to introduce a set of policies and mechanisms that enhance the competitiveness of the Saudi dates at the local and international markets.The estimated results showed that the total market value of the Saudi dates is about 22.65 billion SR annually, and there is a great potential to improve date marketing efficiency to achieve an additional 30 per cent of value added to traders and the national economy, equivalent to about 6.88 billion SR annually. The research paper concluded with a set of policies and mechanisms to enhance the marketing efficiency and the competitiveness of the Saudi dates at the local and international markets.

Suggested Citation

  • Al-Abdulkader Ahmed M. & Al-Kahtani Safar H. & Ismaiel, Sobhy M. & Elhendi Ahmed M. & Saad Ali I. & Alamri Yosef A. & Al-Dakhil Abdullah I., 2016. "Enhancing Marketing Efficiency of the Saudi Dates at the National and International Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(8), pages 1-53, August.
  • Handle: RePEc:ibn:ijefaa:v:8:y:2016:i:8:p:53
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijef/article/download/59798/33100
    Download Restriction: no

    File URL: http://www.ccsenet.org/journal/index.php/ijef/article/view/59798
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alboghdady, Mohamed Altabei, 2014. "Nonparametric Model For Measuring Impact Of Inputs Density On Egyptian Tomato Production Efficiency," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(4), pages 1-10, October.
    2. Wagner A. Kamakura & Byung-Do Kim & Jonathan Lee, 1996. "Modeling Preference and Structural Heterogeneity in Consumer Choice," Marketing Science, INFORMS, vol. 15(2), pages 152-172.
    3. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, January.
    4. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    5. Binam, Joachim Nyemeck & Tonye, Jean & wandji, Njankoua & Nyambi, Gwendoline & Akoa, Mireille, 2004. "Factors affecting the technical efficiency among smallholder farmers in the slash and burn agriculture zone of Cameroon," Food Policy, Elsevier, vol. 29(5), pages 531-545, October.
    6. Curtiss, Jarmila & Jelinek, Ladislav, 2012. "Cost Efficiency and Farm Self-selection in Precision Farming: The Case of Czech Wheat Production," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135784, European Association of Agricultural Economists.
    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. Alnafissa, Mohamad & Alderiny, Mahmoud & Alamri, Yosef & Alhashim, Jawad, 2021. "The Future of Saudi Arabia's Date Exports Using a Cointegration Model," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 11(01), January.
    2. Yosef A. Alamri & Mohamad A. Alnafissa & Alaa Kotb & Fuad Alagsam & Abdullah I. Aldakhil & Imad Eldin Alfadil & Mohammad H. Al-Qunaibet & Sharafeldin Alaagib, 2024. "Estimating the Expected Commercial Potential of Saudi Date Exports to Middle Eastern Countries Using the Gravity Model," Sustainability, MDPI, vol. 16(6), pages 1-11, March.
    3. Mohamad Alnafissa & Mahmoud Alderiny & Yosef Alamri & Jawad Alhashim, 2021. "The Future of Saudi Arabia’s Date Exports Using a Cointegration Model," Asian Journal of Agriculture and rural Development, Asian Economic and Social Society, vol. 11(1), pages 113-119, March.

    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. Lai, Po‐Lin & Potter, Andrew & Beynon, Malcolm & Beresford, Anthony, 2015. "Evaluating the efficiency performance of airports using an integrated AHP/DEA-AR technique," Transport Policy, Elsevier, vol. 42(C), pages 75-85.
    2. Victoria Wojcik & Harald Dyckhoff & Marcel Clermont, 2019. "Is data envelopment analysis a suitable tool for performance measurement and benchmarking in non-production contexts?," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 559-595, December.
    3. Bouadam, Kamel & Chiad, Faycal, 2011. "Data Envelopment Analysis To Measure Technical Efficiency In The Algerian Companies," MPRA Paper 113845, University Library of Munich, Germany.
    4. Ioannis Tsolas, 2015. "Firm credit risk evaluation: a series two-stage DEA modeling framework," Annals of Operations Research, Springer, vol. 233(1), pages 483-500, October.
    5. Mugonola, Basil & Vranken, Liesbet & Maertens, Miet & Deckers, Jozef & Taylor, Daniel B & Bonabana-Wabbi, Jackline & Mathijs, Erik, 2013. "Soil and water conservation technologies and technical efficiency in banana production in upper Rwizi micro-catchment, Uganda," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 8(1), pages 1-16, July.
    6. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    7. Ben Abdelkader, Ines & Hathroubi, Salem & Ben Jemaa, Mohamed Mekki, 2012. "Microfinance Institutions’ Efficiency in the MENA region: a Bootstrap-DEA approach," EconStor Preprints 69525, ZBW - Leibniz Information Centre for Economics.
    8. Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Maziotis, Alexandros & Molinos-Senante, María, 2023. "The carbon and production performance of water utilities: Evidence from the English and Welsh water industry," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 292-300.
    9. Viera Mendelová, 2022. "Decomposition of technical efficiency under fixed proportion technologies: an application of data envelopment analysis," Journal of Productivity Analysis, Springer, vol. 57(1), pages 1-22, February.
    10. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    11. Helmi Hammami & Thanh Ngo & David Tripe & Dinh-Tri Vo, 2022. "Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector," Annals of Operations Research, Springer, vol. 311(2), pages 675-694, April.
    12. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    13. Norman Gemmell & Patrick Nolan & Grant Scobie, 2017. "Public sector productivity: Quality adjusting sector-level data on New Zealand schools," Working Papers 2017/02, New Zealand Productivity Commission.
    14. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    15. Simona Alfiero & Laura Broccardo & Massimo Cane & Alfredo Esposito, 2018. "High Performance Through Innovation Process Management in SMEs. Evidence from the Italian wine sector," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(3), pages 87-110.
    16. Cechura, Lukas & Hockmann, Heinrich & Mala, Zdenka & Maly, Michal, 2014. "Productivity And Efficiency Differences Between Czech And Slovak Milk Producers," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 17(2), pages 1-5, October.
    17. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    18. Renata Machado de Andrade & Suhyung Lee & Paul Tae-Woo Lee & Oh Kyoung Kwon & Hye Min Chung, 2019. "Port Efficiency Incorporating Service Measurement Variables by the BiO-MCDEA: Brazilian Case," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    19. María Victoria Uribe‐Bohorquez & Jennifer Martínez‐Ferrero & Isabel‐María García‐Sánchez, 2019. "Women on boards and efficiency in a business‐orientated environment," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(1), pages 82-96, January.
    20. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijefaa:v:8:y:2016:i:8:p:53. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.