IDEAS home Printed from https://ideas.repec.org/p/ags/cmpart/334757.html
   My bibliography  Save this paper

A profitability and risk assessment of market strategies for potato producers in South Africa

Author

Listed:
  • Vosloo, Jodie

Abstract

The South African potato producers have four primary forms of market channels to market and sell their fresh produce: export markets, direct markets, national fresh produce markets (NFPM), and online markets. Potatoes contribute the largest share of the vegetable gross production value, approximately 37% (DALRRD, 2020), with the majority sold through the NFPM. The NFPM has seen a decrease in market participation on the entire market channel in recent years and has been underperforming for five consecutive years (Lekgau, 2016, Meyer, 2020). Producers who are still choosing NFPM as a marketing channel see lower demand due to less buyers participating in the market channel. In the long run, lower demand will lead to lower prices received by producers, which affects their profitability. According to Meyer (2020), a solution to counter the effects seen on the NFPM is for producers to diversify their marketing channels. South Africa has an online fresh produce trading platform. Online markets provide an alternative to NFPM and are therefore a diversification option. One benefit of market diversification is increased profitability (Dohlman, 2020). There is a need to provide producers with quantifiable research of the profitability effects of online markets and NFPM market diversification. The second benefit of market diversification is decreased risk. The way producers perceive risk depends on their iv risk preference. The preference affects their choice of market channel as each channel and combination of channels have different risks associated with it (Pennings and Wansink, 2004). To provide producers with a complete and comparable assessment of online and NFPM market channels, not only the market channels need to be evaluated, but the marketing strategies of different combinations of market channels also need to be analysed (Kim et al., 2014). The purpose of this study is to provide fresh potato producers with a framework to compare marketing strategies comprising of different market channel combinations for online market and NFPM markets. The Study, therefore, determines which marketing strategies are the most profitable based on different combinations of market channels and evaluate if different risk preferences affect producers marketing strategy choice. Simulation models are commonly used to access production, market, and price risk in traditional agriculture (Curtis et al., 2014, Hardaker et al., 2004, Jordaan et al., 2007, Richardson et al., 2007b). Therefore, this study uses a simulation model analysis that combines market channel price, yield, and market channel risk to construct a probability distribution function that shows the profitability for eleven marketing strategies. The risk preference analysis is completed using stochastic efficiency with respect to a function (SERF) approach created by Hardaker et al. (2004) to analyse risk preferences of different marketing strategies. Ranking simulation and risk analysis enable a framework to compare marketing strategies comprising of different market channel combinations for online market and NFPM market. This study's main objective to provide a framework for producers to compare marketing strategies is also accomplished by ranking the results from the simulation and risk analysis methods. The first proposition proposed that fresh potato producers' profitability is higher for the online market channel due to lower marketing cost. The results from the simulation model have shown that the highest possible net return for all eleven marketing strategies is the M1 market strategy, sending all of the producers’ production to the online markets. The M1 marketing strategy can provide a potato producer with net returns of up to R105 381 per ha. The second proposition states that a fresh potato producer, who is risk-averse, will prefer to send most of their produce to the NFPM. The third proposition proposes that risk-neutral potato producers will prefer to send most of their potatoes to online markets. This study's risk preference analysis result disproves the second and third proposed propositions. The results found that a risk-averse producer prefers to send 40% of their potatoes to NFPM and not the majority, and a risk-neutral producer will prefer to send all their potatoes to NFPM. The study will therefore make academic, managerial and policy contributions. The new information on online markets will add to the knowledge base of the current fresh produce industry within South Africa. The framework will assist producers in their farm management practices by providing a quantitative assessment of their marketing strategies based on personal risk preference and profitability. This study provides policymakers with a quantified risk assessment of alternative marketing strategies.

Suggested Citation

  • Vosloo, Jodie, 2021. "A profitability and risk assessment of market strategies for potato producers in South Africa," Research Theses 334757, Collaborative Masters Program in Agricultural and Applied Economics.
  • Handle: RePEc:ags:cmpart:334757
    DOI: 10.22004/ag.econ.334757
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/334757/files/J.Vosloo_2021_MScAgric.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.334757?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. Richardson, James W. & Herbst, Brian K. & Outlaw, Joe L. & Gill, Robert Chope, II, 2007. "Including Risk in Economic Feasibility Analyses: The Case of Ethanol Production in Texas," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 25(2), pages 1-18.
    2. Jordaan, Henry & Grove, Bennie & Jooste, Andre & Alemu, A.G., 2007. "Measuring the Price Volatility of Certain Field Crops in South Africa using the ARCH/GARCH Approach," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 46(3), pages 1-17, September.
    3. He, Bo & Gan, Xianghua & Yuan, Kaifu, 2019. "Entry of online presale of fresh produce: A competitive analysis," European Journal of Operational Research, Elsevier, vol. 272(1), pages 339-351.
    4. J. Brian Hardaker & James W. Richardson & Gudbrand Lien & Keith D. Schumann, 2004. "Stochastic efficiency analysis with risk aversion bounds: a simplified approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 253-270, June.
    5. Joost M. E. Pennings & Brian Wansink, 2004. "Channel Contract Behavior: The Role of Risk Attitudes, Risk Perceptions, And Channel Members' Market Structures," The Journal of Business, University of Chicago Press, vol. 77(4), pages 697-724, October.
    6. Joseph P. Musara & Lovemore Musemwa & Munyaradzi Mutenje & Abbyssinia Mushunje & Charles Pfukwa, 2018. "Market participation and marketing channel preferences by small scale sorghum farmers in semi-arid Zimbabwe," Agrekon, Taylor & Francis Journals, vol. 57(1), pages 64-77, January.
    7. Meyer, Jack, 1977. "Choice among distributions," Journal of Economic Theory, Elsevier, vol. 14(2), pages 326-336, April.
    8. Curtis, Kynda R. & Yeager, Irvin & Black, Brent & Drost, Daniel & Ward, Ruby, 2014. "Market and Pricing Potential for Extended Season Fresh Produce Sales: An Intermountain West Example," Journal of Food Distribution Research, Food Distribution Research Society, vol. 45(2), pages 1-20, July.
    9. Park Timothy & Lohr Luanne, 2006. "Choices of Marketing Outlets by Organic Producers: Accounting for Selectivity Effects," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 4(1), pages 1-26, July.
    10. Hardaker, J. Brian, 2000. "Some Issues in Dealing with Risk in Agriculture," Working Papers 12912, University of New England, School of Economics.
    11. Brian Lee & Jhih‐Yun Liu & Hung‐Hao Chang, 2020. "The choice of marketing channel and farm profitability: Empirical evidence from small farmers," Agribusiness, John Wiley & Sons, Ltd., vol. 36(3), pages 402-421, June.
    12. Richardson, James W. & Lemmer, Wessel J. & Outlaw, Joe L., 2007. "Bio-ethanol Production from Wheat in the Winter Rainfall Region of South Africa: A Quantitative Risk Analysis," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 10(2), pages 1-24.
    13. Simelane, Musa, 2015. "The Role of Market Agents in Linking Black Commercial Farmers to Fresh Produce Markets in South Africa," Research Theses 265679, Collaborative Masters Program in Agricultural and Applied Economics.
    14. Richard E. Just, 1975. "Risk Aversion under Profit Maximization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(2), pages 347-352.
    15. Louw, André & van der Merwe, Melissa & Louw, Johan, 2016. "The corporatization of the Tshwane Fresh Produce Market in South Africa towards creating an enabling institutional environment: A case study," 2016 International European Forum (151st EAAE Seminar), February 15-19, 2016, Innsbruck-Igls, Austria 244453, International European Forum on System Dynamics and Innovation in Food Networks.
    16. Kim, Man-Keun & Curtis, Kynda R. & Yeager, Irvin, 2014. "An Assessment of Market Strategies for Small-Scale Produce Growers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(3), pages 1-18, September.
    17. Donnell, Jeri & Biermacher, Jon T. & Upson, Steve, 2011. "Economic Potential of Using High Tunnel Hoop Houses to Produce Fruits and Vegetables," 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas 98840, Southern Agricultural Economics Association.
    18. Wendy J. Umberger & Thomas Reardon & Randy Stringer & Simone Mueller Loose, 2015. "Market-Channel Choices of Indonesian Potato Farmers: A Best-Worst Scaling Experiment," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 51(3), pages 461-477, December.
    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. Kim, Man-Keun & Curtis, Kynda R. & Yeager, Irvin, 2014. "An Assessment of Market Strategies for Small-Scale Produce Growers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(3), pages 1-18, September.
    2. Curtis, Kynda R. & Cowee, Margaret W. & Kim, Man-Keun & Harris, Thomas R., 2010. "Evaluating Returns to Cool Season Grass Quality Characteristics for Niche Equine Feed Markets," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 28(1).
    3. Morris, Brittany D. & Richardson, James W. & Frosch, Brian J. & Outlaw, Joe L. & Rooney, William L., 2009. "Economic Feasibility of Ethanol Production from Sweet Sorghum Juice in Texas," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46852, Southern Agricultural Economics Association.
    4. Asci, Serhat & VanSickle, John J. & Cantliffe, Daniel J., 2014. "Risk in Investment Decision Making and Greenhouse Tomato Production Expansion in Florida," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(4), pages 1-26, November.
    5. Tzouramani, Irene & Karanikolas, Pavlos & Alexopoulos, George, 2008. "Risk and Income Risk Management Issues for Organic Crops in Greece," 108th Seminar, February 8-9, 2008, Warsaw, Poland 48116, European Association of Agricultural Economists.
    6. Lien, Gudbrand D. & Flaten, Ola & Schumann, Keith D. & Richardson, James W. & Korsaeth, Audun & Eltun, Ragnar, 2005. "Comparison of Risk Between Cropping Systems in Eastern Norway," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24663, European Association of Agricultural Economists.
    7. Pagare, Dewang & Biswas, Indranil & Agrahari, Amit & Ghosh, Sriparna, 2023. "A small farmer’s market choice in the presence of multiple markets: The Indian case," European Journal of Operational Research, Elsevier, vol. 311(2), pages 739-753.
    8. Schumann, Keith D. & Richardson, James W. & Lien, Gudbrand D. & Hardaker, J. Brian, 2004. "Stochastic Efficiency Analysis Using Multiple Utility Functions," 2004 Annual meeting, August 1-4, Denver, CO 19957, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Zapata, Samuel D. & Ribera, Luis A. & Palma, Marco A., 2017. "Effect Of Production Parameters On The Economic Feasibility Of A Biofuel Enterprise," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 49(3), pages 347-362, August.
    10. Vorotnikova, Ekaterina & Borisova, Tatiana & VanSickle, John J., 2014. "Evaluation of the profitability of a new precision fungicide application system for strawberry production," Agricultural Systems, Elsevier, vol. 130(C), pages 77-88.
    11. Ibrahim L. Kadigi & Khamaldin D. Mutabazi & Damas Philip & James W. Richardson & Jean-Claude Bizimana & Winfred Mbungu & Henry F. Mahoo & Stefan Sieber, 2020. "An Economic Comparison between Alternative Rice Farming Systems in Tanzania Using a Monte Carlo Simulation Approach," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    12. Asci, Serhat & Borisova, Tatiana & VanSickle, John J., 2014. "Risks in Potato Production: Fertilizer, Water, and Producers’ Decision Making," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162536, Southern Agricultural Economics Association.
    13. Andrew, Rogers & Makindara, Jeremia & Mbaga, Said H. & Alphonce, Roselyne, 2019. "Economic viability of newly introduced chicken strains at village level in Tanzania: FARMSIM model simulation approach," Agricultural Systems, Elsevier, vol. 176(C).
    14. Liu, Yangxuan & Langemeier, Michael & Small, Ian & Joseph, Laura & Fry, William, 2015. "Risk management strategies using potato precision farming technology," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205417, Agricultural and Applied Economics Association.
    15. Leiva, Akssell J. & Skees, Jerry R., 2008. "Using Irrigation Insurance to Improve Water Usage of the Rio Mayo Irrigation System in Northwestern Mexico," World Development, Elsevier, vol. 36(12), pages 2663-2678, December.
    16. Kheiry Ishag, 2015. "Fodder crop re-allocation sustainability and risk efficiency," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 3(1), pages 1-17, December.
    17. Asci, Serhat & Konduru, Srini & Williams, Lynn, 2020. "Potential of Solar Energy in Agricultural Production in Caribbean Countries," Farm and Business - The Journal of the Caribbean Agro-Economic Society, Caribbean Agro-Economic Society, vol. 12(1), December.
    18. Lau, Michael H. & Richardson, James W. & Outlaw, Joe L. & Fuller, Stephen W. & Nixon, Clair J. & Herbst, Brian K., 2004. "Location Of A Mixalco Production Facility With Respect To Economic Viability," 2004 Annual meeting, August 1-4, Denver, CO 20025, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Yi, Fujin & Lin, C.-Y. Cynthia & Thome, Karen, 2013. "An Analysis of the Effects of Government Subsidies and the Renewable Fuels Standard on the Fuel Ethanol Industry: A Structural Econometric Model," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150224, Agricultural and Applied Economics Association.
    20. Yangxuan Liu & Michael R. Langemeier & Ian M. Small & Laura Joseph & William E. Fry & Jean B. Ristaino & Amanda Saville & Benjamin M. Gramig & Paul V. Preckel, 2018. "A Risk Analysis of Precision Agriculture Technology to Manage Tomato Late Blight," Sustainability, MDPI, vol. 10(9), pages 1-19, August.

    More about this item

    Keywords

    Risk and Uncertainty; Production Economics;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cmpart:334757. 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: http://www.agriculturaleconomics.net .

    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.