IDEAS home Printed from https://ideas.repec.org/a/ibn/ijefaa/v9y2017i7p147-153.html
   My bibliography  Save this article

Empirical Research on the Influence Factors of Fresh Agricultural Products Circulation Ability and Regional Differences

Author

Listed:
  • Cheng Yuanyuan
  • Wang Chonghu

Abstract

This paper based on the related data to fresh agricultural products circulation ability of 14 cities in Hunan province, applying for the factor analysis model, in order to reveal the important factor and regional differences of fresh agricultural products circulation ability. The results suggest that: from the perspective of the overall of Hunan province, GDP and per GDPPC have the most influences on fresh agricultural products circulation ability; for the different areas of the circulation ability, the effect of the same factors is different; from the time level, the circulation capacity of fresh agricultural products in Hunan province showed a trend of increasing year by year. In terms of space, the different cities have the different the circulation ability of fresh agricultural products.

Suggested Citation

  • Cheng Yuanyuan & Wang Chonghu, 2017. "Empirical Research on the Influence Factors of Fresh Agricultural Products Circulation Ability and Regional Differences," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(7), pages 147-153, July.
    • Handle: RePEc:ibn:ijefaa:v:9:y:2017:i:7:p:147-153
    as

    Download full text from publisher

    File URL: http://ccsenet.org/journal/index.php/ijef/article/view/68853/37457
    Download Restriction: no
    File URL: http://ccsenet.org/journal/index.php/ijef/article/view/68853
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. M. den Ouden & Aalt A. Dijkhuizen & Ruud B.M. Huirne & Peter J.P. Zuurbier, 1996. "Vertical cooperation in agricultural production-marketing chains, with special reference to product differentiation in pork," Agribusiness, John Wiley & Sons, Ltd., vol. 12(3), pages 277-290.
    2. Omar Ahumada & J. Villalobos, 2011. "A tactical model for planning the production and distribution of fresh produce," Annals of Operations Research, Springer, vol. 190(1), pages 339-358, October.
    3. Ahumada, Omar & Villalobos, J. Rene, 2011. "Operational model for planning the harvest and distribution of perishable agricultural products," International Journal of Production Economics, Elsevier, vol. 133(2), pages 677-687, October.
    4. Fujita, Masahisa, 2007. "Towards the new economic geography in the brain power society," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 482-490, July.
    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. Soto-Silva, Wladimir E. & Nadal-Roig, Esteve & González-Araya, Marcela C. & Pla-Aragones, Lluis M., 2016. "Operational research models applied to the fresh fruit supply chain," European Journal of Operational Research, Elsevier, vol. 251(2), pages 345-355.
    2. Tan, Barış & Çömden, Nihan, 2012. "Agricultural planning of annual plants under demand, maturation, harvest, and yield risk," European Journal of Operational Research, Elsevier, vol. 220(2), pages 539-549.
    3. Kusumastuti, Ratih Dyah & Donk, Dirk Pieter van & Teunter, Ruud, 2016. "Crop-related harvesting and processing planning: a review," International Journal of Production Economics, Elsevier, vol. 174(C), pages 76-92.
    4. Sudhanshu Joshi & Rohit Kumar Singh & Manu Sharma, 2023. "Sustainable Agri-food Supply Chain Practices: Few Empirical Evidences from a Developing Economy," Global Business Review, International Management Institute, vol. 24(3), pages 451-474, June.
    5. Chintapalli, Prashant & Tang, Christopher S., 2022. "The implications of crop minimum support price in the presence of myopic and strategic farmers," European Journal of Operational Research, Elsevier, vol. 300(1), pages 336-349.
    6. Kate, Joeri ten & Teunter, Ruud & Kusumastuti, Ratih Dyah & van Donk, Dirk Pieter, 2017. "Bio-diesel production using mobile processing units: A case in Indonesia," Agricultural Systems, Elsevier, vol. 152(C), pages 121-130.
    7. Li, Yemei & Shan, Yanfei & Ling, Shuang, 2022. "Research on option pricing and coordination mechanism of festival food supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    8. Chen, Jing & Dong, Ming & Xu, Lei, 2018. "A perishable product shipment consolidation model considering freshness-keeping effort," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 56-86.
    9. Ahumada, Omar & Rene Villalobos, J. & Nicholas Mason, A., 2012. "Tactical planning of the production and distribution of fresh agricultural products under uncertainty," Agricultural Systems, Elsevier, vol. 112(C), pages 17-26.
    10. Tuğçe Taşkıner & Bilge Bilgen, 2021. "Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review," Logistics, MDPI, vol. 5(3), pages 1-27, August.
    11. Pierluigi Sacco & Guido Ferilli & Giorgio Tavano Blessi, 2014. "Understanding culture-led local development: A critique of alternative theoretical explanations," Urban Studies, Urban Studies Journal Limited, vol. 51(13), pages 2806-2821, October.
    12. Schmid, Verena & Doerner, Karl F. & Laporte, Gilbert, 2013. "Rich routing problems arising in supply chain management," European Journal of Operational Research, Elsevier, vol. 224(3), pages 435-448.
    13. Thalis P. V. Zis & Harilaos N. Psaraftis, 2022. "Impacts of short-term measures to decarbonize maritime transport on perishable cargoes," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(3), pages 602-629, September.
    14. Ramos, Francisco López & Batres, Rafael & De-la-Cruz-Márquez, Cynthia Griselle & Anzures, Melina López, 2023. "Optimization models for nopal crop planning with land usage expansion and government subsidy," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    15. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T., 2017. "A metaheuristic for the multimodal network flow problem with product quality preservation and empty repositioning," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 321-344.
    16. Deepak Bhagat & U.R. Dhar, 2014. "Relationship Dynamics in the Pineapple Supply Chain: Empirical Evidence from the Garo Hills of Meghalaya," Global Business Review, International Management Institute, vol. 15(4), pages 747-765, December.
    17. Stüve, David & van der Meer, Robert & Lütke Entrup, Matthias & Agha, Mouhamad Shaker Ali, 2020. "Supply chain planning in the food industry," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 317-353, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    18. Sara Martins & Pedro Amorim & Bernardo Almada-Lobo, 2018. "Delivery mode planning for distribution to brick-and-mortar retail stores: discussion and literature review," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 785-812, December.
    19. Masahisa Fujita & Ikuo Kuroiwa & Satoru Kumagai, 2011. "New Challenges and Directions for East Asian Integration," Chapters, in: Masahisa Fujita & Ikuo Kuroiwa & Satoru Kumagai (ed.), The Economics of East Asian Integration, chapter 19, Edward Elgar Publishing.
    20. Lejarza, Fernando & Pistikopoulos, Ioannis & Baldea, Michael, 2021. "A scalable real-time solution strategy for supply chain management of fresh produce: A Mexico-to-United States cross border study," International Journal of Production Economics, Elsevier, vol. 240(C).

    More about this item

    Keywords

    indebtedness; bankruptcy; default prediction; logit; European countries;
    All these keywords.

    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:9:y:2017:i:7:p:147-153. 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.