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A new method for assessing the marketing efficiency of agricultural marketing channels

Author

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  • Abad, Arif
  • Maaz, Mohd Abdul Muqeet
  • Shamsi, Mohd Salman

Abstract

Purpose. This study aims to introduce a new method for assessing the efficiency of agricultural marketing channels. This innovative method rectifies the deficiencies inherent in earlier methods by encircling all channel participants in evaluating marketing efficiency, thereby delivering a more detailed assessment. Methodology / approach. The present study first identified the shortcomings of the old methods based on a literature review and then attempted to propose a new method for calculating marketing efficiency by overcoming these issues. The efficiency of marketing channels is calculated based on primary data collected from two randomly selected agriculture markets in Delhi, marketing cooperative societies operating in Delhi, and their respective intermediaries, flour mills, and consumers in the channel. The study’s sample size is 179 respondents, including all the channel members. After that, a comparison is made between traditional methods and the proposed method. Results. Results of this study show that the proposed method gives a better idea of the efficiency of marketing channels than the old methods, namely the Acharya’s approach, the Shepard’s method and the input-output approach. These methods ignore the crucial role of producers, focusing on overall margins and costs. They can call a channel efficient even if producers receive minimal benefits, necessitating a revised approach. The proposed method has two parts: (1) the ratio of overall channel benefit to cost, excluding consumers, to avoid misleading results, indicating higher benefits for channel members; (2) the ratio of the net price received by farmers to the price paid by consumers, reflecting farmer earnings. By separating marketing margins and costs, the proposed method simplifies previous complexities. Using the channel benefit-to-cost ratio and the farmer’s price-to-consumer price ratio, this method offers an accurate and comprehensive assessment, addressing flaws in Acharya’s approach. Originality / scientific novelty. The proposed method is the only method that takes care of every channel member rather than just focusing on producers / farmers. This method considers factors such as the price received by farmers (gross and net), marketing margins, marketing costs, and the price paid by consumers. Unlike old methods, this method focuses on adding value per channel, not on the number of intermediaries. Practical value / implications. The proposed method facilitates an effortless comparison of marketing efficiency for all channel members, especially farmers. Its simplicity makes it a valuable tool for policymakers to formulate effective strategies for enhancing overall channel efficiency. Researchers can also use this method in efficiency-focused studies related to agriculture and its products, gaining a comprehensive understanding of agricultural marketing channels.

Suggested Citation

  • Abad, Arif & Maaz, Mohd Abdul Muqeet & Shamsi, Mohd Salman, 2024. "A new method for assessing the marketing efficiency of agricultural marketing channels," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 10(2), June.
  • Handle: RePEc:ags:areint:355965
    DOI: 10.22004/ag.econ.355965
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    References listed on IDEAS

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    1. Nedumaran, Swamikannu & Selvaraj, Aravazhi & Nandi, Ravi & Suchiradipta, Bhattacharjee & Jyosthnaa, Padmanabhan & Bose, Disha, 2020. "Digital integration to enhance market efficiency and inclusion of smallholder farmers: a proposed model for fresh fruit and vegetable supply chain," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(3), September.
    2. Tao Zhai & Jiabin Liu & Daqing Wang, 2023. "Optimization path of agricultural products marketing channel based on innovative industrial chain," Economic Change and Restructuring, Springer, vol. 56(6), pages 3949-3977, December.
    3. Levkina, Ruslana & Petrenko, Anna, 2019. "Management of innovative marketing techniques as an effective business tool," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 5(01), March.
    4. Fernández-Olmos, Marta & Ma, Wanglin & Florine, Pecheux-Livat, 2024. "Linking Spanish wine farmers to international markets: Is direct export better than indirect export in improving farm performance?," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 153-163.
    5. Arida, Agustina & Masbar, Raja & Majid, M. Shabri Abd. & Indra, I., 2023. "Does vertical asymmetric price transmission exist in the rice markets?," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(01), March.
    6. Pinhas Zusman & Michael Etgar, 1981. "The Marketing Channel as an Equilibrium Set of Contracts," Management Science, INFORMS, vol. 27(3), pages 284-302, March.
    7. Karray, Salma, 2013. "Periodicity of pricing and marketing efforts in a distribution channel," European Journal of Operational Research, Elsevier, vol. 228(3), pages 635-647.
    8. Villacis, Alexis H. & Kopp, Thomas & Mishra, Ashok K., 2024. "Agricultural marketing channels and market prices: Evidence from high-value crop producers in India," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1308-1321.
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