The study aims to evaluate and compare the marketing efficiency of five tomato marketing channels—local wholesalers, Rythu Bazars, processors, retail malls, and restaurants—in terms of net price realization for smallholder farmers in Andhra Pradesh. A two-stage sampling framework was employed, selecting Ananthapuramu district due to its prominence in tomato cultivation and further narrowing the focus to Kalyanadurgam and Settur mandals. A total of 300 smallholder tomato farmers (each with landholding ≤2 hectares) were selected, with 60 farmers representing each marketing channel. Data are collected through structured surveys and official secondary sources. Principal Component Analysis findings reveal distinct structural patterns across channels, with the number of significant principal components varying accordingly. Local wholesalers and processors exhibit ten principal components, capturing 70.66% and 70.95% of variance, respectively, indicating structured market behaviour. Rythu Bazars, characterized by direct producer-to-consumer transactions, demonstrate eleven principal components explaining 76.39% of variance, suggesting greater heterogeneity in pricing mechanisms and operational dynamics. Retail malls and restaurants, with ten principal components each, account for 71.09% and 70.56% of variance, respectively, reflecting structured market behaviour and dominant procurement strategies. Findings from Data Envelopment Analysis revealed significant efficiency disparities among the five marketing channels. Retail malls (Channel 4) emerge as the most efficient channel, with a mean Variable Returns to Scale Technical Efficiency score of 0.982, while local wholesalers (Channel 1) register the lowest efficiency (0.918) due to resource misallocation and intermediary costs. Scale efficiency analysis indicates that Channels 1 and 2 (local wholesalers and Rythu Bazars) exhibit increasing returns to scale, suggesting potential efficiency gains through capacity expansion. Overall, retail malls and Rythu Bazars demonstrate higher efficiency scores, ensuring better price transparency and reduced intermediary costs. The study underscores the need for enhanced infrastructure, digital market integration, producer cooperatives, and cold storage facilities to improve market access and efficiency.
| Published in | International Journal of Agricultural Economics (Volume 10, Issue 6) |
| DOI | 10.11648/j.ijae.20251006.12 |
| Page(s) | 343-364 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Smallholders, Market Channels, Factor Loadings, Scale Efficiency, Digital Inclusion, Price Realization
| [1] | FAO. (2023). FAOSTAT Statistical Database. Food and Agriculture Organization of the United Nations. Retrieved from |
| [2] | Ministry of Agriculture and Farmers’ Welfare. (2024). Agricultural Statistics at a Glance 2024. Government of India. |
| [3] | Arias, P., Hallam, D., Krivonos, E., and Morrison, J. (2013). Smallholder Integration in Changing Food Markets. Rome: Food and Agriculture Organization of the United Nations. |
| [4] | Barrett, C. B. (2008). Smallholder Market Participation: Concepts and Evidence from Eastern and Southern Africa. Food Policy, 33(4): 299–317. |
| [5] | Sisay, M. A. (2018). Assessment of Challenges in Export Marketing: The Case of Ethiopian Vegetable and Fruit Commercial Growers. IBusiness, 10(1): 1–20, |
| [6] | Abera, S. (2016). Econometric Analysis of Factors Affecting Haricot Bean Market Outlet Choices in Misrak Badawacho District, Ethiopia. International Journal of Research Studies in Agricultural Sciences, 2(9), |
| [7] | Shubha, M., Girish, M., Girish, M. R., and Manish, K. L. (2024). Evaluating the Efficiency of Marketing Channels of Farm Enterprises: A Study in Kolar District. International Journal of Agriculture Extension and Social Development, 7(8): 596–603, |
| [8] | Ghosh, M. (2024). Institutional Reforms and Spatial Efficiency in Agricultural Supply Chains in India. Journal of Asian and African Studies, |
| [9] | Chowdary, V. R., Nedumaran, G., and Barwal, S. (2023). A Comparative Analysis of Marketing Efficiency of Vegetables in Organized Collection Centres and Traditional Channels in Ranga Reddy District of Telangana. Biological Forum – An International Journal, 15(2): 46–51. |
| [10] | Villacis, A. H., Kopp, T., and Mishra, A. K. (2024). Agricultural Marketing Channels and Market Prices: Evidence from High-Value Crop Producers in India. Economic Analysis and Policy, 81: 1308–1321, |
| [11] | Thakur, P., Mehta, P., Devi, C., Sharma, P., Singh, K. K., Yadav, S., Lal, P., Raghav, Y. S., Kapoor, P., and Mishra, P. (2023). Marketing Performance and Factors Influencing Farmers’ Choice for Agricultural Output Marketing Channels: The Case of Garden Pea (Pisum sativum) in India. Frontiers in Sustainable Food Systems, 7: 1270121, |
| [12] | Abad, M., Kumar, R., and Sharma, P. (2023). An Integrative Framework for Assessing Marketing Efficiency in Agricultural Supply Chains: Evidence from Delhi’s Agricultural Markets. Journal of Agricultural Economics and Policy, 15(2): 120–138. |
| [13] | Zhai, T., Liu, J., and Wang, D. (2023). Optimization Path of Agricultural Products Marketing Channel Based on Innovative Industrial Chain. Economic Change and Restructuring, 56: 3949–3977, |
| [14] | Möllers, J., Fritzsch, J., and Buchenrieder, G. (2022). Analyzing Distribution Channels and Market Constraints for Small Farms in Eastern Europe: Evidence from Moldova, Romania, and Serbia. Journal of Agricultural Economics and Development, 15(3): 210–228. |
| [15] | Enthoven, M., and Van den Broeck, G. (2024). The Evolution of Agricultural Distribution Channels in Europe: Assessing the Shift Toward Direct Sales Models. European Journal of Agricultural Economics, 29(1): 45–63. |
| [16] | Fafchamps, M., and Aker, J. C. (2015). How Digital Technologies Are Transforming Agricultural Markets: Evidence from West Africa and India. World Development, 67: 28–42. |
| [17] | Directorate of Economics and Statistics. (2024). Season and Crop Report – 2024. Government of Andhra Pradesh. |
| [18] | Yamane, T. (1967). Elementary Sampling Theory. Englewood Cliffs: Prentice-Hall, Inc. |
| [19] | Mgale, Y. J., and Yunxian, Y. (2020). Marketing Efficiency and Determinants of Marketing Channel Choice by Rice Farmers in Rural Tanzania: Evidence from Mbeya Region. Australian Journal of Agricultural and Resource Economics, 64(4): 1239–1259, |
| [20] | Blandon, J., Henson, S., and Islam, T. (2010). The Importance of Assessing Marketing Preferences of Small-Scale Farmers: A Latent Segment Approach. European Journal of Development Research, 22: 494–509. |
| [21] | Mmbando, F. E., Wale, E. Z., and Baiyegunhi, L. J. S. (2015). Determinants of Smallholder Farmers’ Participation in Maize and Pigeonpea Markets in Tanzania. Agrekon, 54(1): 96–119, |
| [22] | Adler, N., and Golany, B. (2002). Including Principal Component Weights to Improve Discrimination in Data Envelopment Analysis. Journal of Operations Research Society of Japan, 46: 66–73. |
| [23] | Pedersen, S. G., Zachariassen, F., and Arlbjorn, S. J. (2012). Centralization vs. De-Centralization of Warehousing: A Small and Medium-Sized Enterprise Perspective. Journal of Small Business and Enterprise Development, 19(2): 352–369, |
| [24] | Sharma, S. (1996). Applied Multivariate Techniques. New York: John Wiley & Sons, Inc. |
| [25] | Adler, N., and Yazhemsky, E. (2010). Improving Discrimination in Data Envelopment Analysis: PCA–DEA or Variable Reduction. European Journal of Operational Research, 202(1): 273–284, |
| [26] | Andrejić, M., Bojović, N., and Kilibarda, M. (2013). Benchmarking Distribution Centers Using Principal Component Analysis and Data Envelopment Analysis: A Case Study of Serbia. Expert Systems with Applications, 40(10): 3926–3933, |
| [27] | Tadie, M. A., Taye, M. M., and Abebe, B. D. (2019). Determinants of Market Outlet Choices by Smallholder Teff Farmers in Dera District, South Gondar Zone, Amhara Region, Ethiopia: A Multivariate Probit Approach. Journal of Economic Structures, 8: 39, |
| [28] | Mauki, J., Jeckoniah, N., and Massawe, S. (2023). Determinants of Smallholder Rice Farmers’ Market Outlet Selection in Mbarali and Mvomero Districts, Tanzania. Tanzania Journal of Agricultural Sciences, 22(2, Special Issue): 169–179. |
| [29] | Milan, A., and Kilibarda, M. (2015). Distribution Channels Selection Using PCA–DEA Approach. International Journal for Traffic and Transport Engineering, 5(1): 74–81, |
| [30] | Thomas Kwadwo Ntowa, Camillus Abawiera Wongnaaa, Ralph Nyadu-Addob, Monica Addisonc, Dadson Awunyo-Vitora, and Emmanuel Abokyi. (2023). Effects of Entrepreneurial Behaviour on Market Outlets Choice: Evidence from Rice Producers in Ashanti Region, Ghana. Sustainable Technology and Entrepreneurship, 2: 100037, |
| [31] | Zhu, M., Shen, C., Tian, Y., Wu, J., and Mu, Y. (2022). Factors Affecting Smallholder Farmers’ Marketing Channel Choice in China with Multivariate Logit Model. Agriculture, 12: 1441, |
| [32] | Oliyad, S., and Megersa, A. (2022). Determinants of Groundnut Producers’ Market Channel Choice in Western Oromia Region, Ethiopia. Journal of Agriculture and Food Research, 7: 100277, |
| [33] | Mary, S. M., and Nirmal, R. K. K. (2024). Marketing Channel Choice of Vegetable Farmers in Guntur District of Andhra Pradesh. International Journal of Agriculture Extension and Social Development, 7(5): 168–175, |
| [34] | Pingali, P., Aiyar, A., Abraham, M., and Rahman, A. (2019). Linking Farms to Markets: Reducing Transaction Costs and Enhancing Bargaining Power. In Transforming Food Systems for a Rising India, Palgrave Studies in Agricultural Economics and Food Policy. Palgrave Macmillan, Cham, |
| [35] | Yohana James Mgale and Yan Yunxian. (2020). Marketing Efficiency and Determinants of Marketing Channel Choice by Rice Farmers in Rural Tanzania: Evidence from Mbeya Region. Australian Journal of Agricultural and Resource Economics, 64: 1239–1259, |
| [36] | Syahrul Ganda Sukmaya and Ulpah Jakiyah. (2021). Marketing Efficiency and Marketing Channel Choice Assessment of Mango Fruit. E3S Web of Conferences, 232: 02014, |
| [37] | Benmehaia, A. M., Samoggia, A., Benharrat, O., Benziouche, S. E., and Ayfantopoulou, G. (2024). Fairness and Contractual Performance in Vertical Linkages Within an Uncertain Environment: A Case of a Tomato Value Chain. Foods, 13: 3819, |
| [38] | Anika Trebbin. (2014). Linking Small Farmers to Modern Retail Through Producer Organizations – Experiences with Producer Companies in India. Food Policy, 45: 35–44, |
| [39] | Hernández, R., Reardon, T., Natawidjaja, R., and Shetty, S. (2015). Tomato Farmers and Modernising Value Chains in Indonesia. Bulletin of Indonesian Economic Studies, 51(3): 425–444, |
| [40] | Gizachew Wosene and Wubalem Gobie. (2022). Value Chain Analysis of Tomato: The Case of Bure, Jabitehinan and North Mecha Districts of Amhara Regional State, Ethiopia. Journal of Agriculture and Food Research, 7: 100272, |
| [41] | Gulati, A., Wardhan, H., and Sharma, P. (2022). Tomato, Onion and Potato (TOP) Value Chains. In Gulati, A., Ganguly, K., and Wardhan, H. (eds.), Agricultural Value Chains in India. India Studies in Business and Economics. Springer, Singapore, |
| [42] | Sharma, D., Alam, M. J., Begum, I. A., Ding, S., and McKenzie, A. M. (2023). A Value Chain Analysis of Cauliflower and Tomato in Bangladesh. Sustainability, 15: 11395, |
| [43] | Dessie, A. B., Abate, T. M., and Mekie, T. M. (2018). Factors Affecting Market Outlet Choice of Wheat Producers in North Gondar Zone, Ethiopia. Agriculture & Food Security, 7: 91, |
| [44] | Taye Melese, Degye Goshu, and Assefa Tilahun. (2018). Determinants of Outlet Choices by Smallholder Onion Farmers in Fogera District Amhara Region, Northwestern Ethiopia. Journal of Horticulture and Forestry, 10(3): 27–35, |
| [45] | Nelson Mango, Mark Lundy, Clifton Makate, Matthias Jager, and Nicola Francesconi. (2018). Determinants of Market Participation and Marketing Channels in Smallholder Groundnut Farming: A Case of Mudzi District, Zimbabwe. African Journal of Science, Technology, Innovation and Development, 10(3), |
| [46] | Fernie, J., and Sparks, L. (2009). Logistics and Retail Management: Emerging Issues and New Challenges in the Retail Supply Chain. Philadelphia: Kogan Page Limited. |
| [47] | Rushton, A., Croucher, P., and Baker, P. (2006). The Handbook of Logistics and Distribution Management. 3rd Edition. London and Philadelphia: Kogan Page. |
| [48] | Wanke, P., and Zinn, W. (2004). Strategic Logistics Decision Making. International Journal of Physical Distribution & Logistics Management, 34(6): 466–478, |
| [49] | Laurens, Cherchye, Bram De Rock, Bart Dierynck, Pieter Jan Kerstens, and Filip Roodhooft. “A DEA-Based Approach to Customer Value Analysis.” European Journal of Operational Research 308 (No. 3 2023): 1319–1331. |
| [50] | Panda, R. K., and Sreekumar. (2012). Marketing Channel Choice and Marketing Efficiency Assessment in Agribusiness. Journal of International Food & Agribusiness Marketing, 24(3): 213–230, |
APA Style
Kumar, K. N. R. (2025). Assessing Tomato Market Outlets Efficiency in Andhra Pradesh, India - Evidence from PCA-DEA Analysis. International Journal of Agricultural Economics, 10(6), 343-364. https://doi.org/10.11648/j.ijae.20251006.12
ACS Style
Kumar, K. N. R. Assessing Tomato Market Outlets Efficiency in Andhra Pradesh, India - Evidence from PCA-DEA Analysis. Int. J. Agric. Econ. 2025, 10(6), 343-364. doi: 10.11648/j.ijae.20251006.12
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Download@article{10.11648/j.ijae.20251006.12,
author = {Kotamraju Nirmal Ravi Kumar},
title = {Assessing Tomato Market Outlets Efficiency in Andhra Pradesh, India - Evidence from PCA-DEA Analysis
},
journal = {International Journal of Agricultural Economics},
volume = {10},
number = {6},
pages = {343-364},
doi = {10.11648/j.ijae.20251006.12},
url = {https://doi.org/10.11648/j.ijae.20251006.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20251006.12},
abstract = {The study aims to evaluate and compare the marketing efficiency of five tomato marketing channels—local wholesalers, Rythu Bazars, processors, retail malls, and restaurants—in terms of net price realization for smallholder farmers in Andhra Pradesh. A two-stage sampling framework was employed, selecting Ananthapuramu district due to its prominence in tomato cultivation and further narrowing the focus to Kalyanadurgam and Settur mandals. A total of 300 smallholder tomato farmers (each with landholding ≤2 hectares) were selected, with 60 farmers representing each marketing channel. Data are collected through structured surveys and official secondary sources. Principal Component Analysis findings reveal distinct structural patterns across channels, with the number of significant principal components varying accordingly. Local wholesalers and processors exhibit ten principal components, capturing 70.66% and 70.95% of variance, respectively, indicating structured market behaviour. Rythu Bazars, characterized by direct producer-to-consumer transactions, demonstrate eleven principal components explaining 76.39% of variance, suggesting greater heterogeneity in pricing mechanisms and operational dynamics. Retail malls and restaurants, with ten principal components each, account for 71.09% and 70.56% of variance, respectively, reflecting structured market behaviour and dominant procurement strategies. Findings from Data Envelopment Analysis revealed significant efficiency disparities among the five marketing channels. Retail malls (Channel 4) emerge as the most efficient channel, with a mean Variable Returns to Scale Technical Efficiency score of 0.982, while local wholesalers (Channel 1) register the lowest efficiency (0.918) due to resource misallocation and intermediary costs. Scale efficiency analysis indicates that Channels 1 and 2 (local wholesalers and Rythu Bazars) exhibit increasing returns to scale, suggesting potential efficiency gains through capacity expansion. Overall, retail malls and Rythu Bazars demonstrate higher efficiency scores, ensuring better price transparency and reduced intermediary costs. The study underscores the need for enhanced infrastructure, digital market integration, producer cooperatives, and cold storage facilities to improve market access and efficiency.
},
year = {2025}
}
TY - JOUR T1 - Assessing Tomato Market Outlets Efficiency in Andhra Pradesh, India - Evidence from PCA-DEA Analysis AU - Kotamraju Nirmal Ravi Kumar Y1 - 2025/10/31 PY - 2025 N1 - https://doi.org/10.11648/j.ijae.20251006.12 DO - 10.11648/j.ijae.20251006.12 T2 - International Journal of Agricultural Economics JF - International Journal of Agricultural Economics JO - International Journal of Agricultural Economics SP - 343 EP - 364 PB - Science Publishing Group SN - 2575-3843 UR - https://doi.org/10.11648/j.ijae.20251006.12 AB - The study aims to evaluate and compare the marketing efficiency of five tomato marketing channels—local wholesalers, Rythu Bazars, processors, retail malls, and restaurants—in terms of net price realization for smallholder farmers in Andhra Pradesh. A two-stage sampling framework was employed, selecting Ananthapuramu district due to its prominence in tomato cultivation and further narrowing the focus to Kalyanadurgam and Settur mandals. A total of 300 smallholder tomato farmers (each with landholding ≤2 hectares) were selected, with 60 farmers representing each marketing channel. Data are collected through structured surveys and official secondary sources. Principal Component Analysis findings reveal distinct structural patterns across channels, with the number of significant principal components varying accordingly. Local wholesalers and processors exhibit ten principal components, capturing 70.66% and 70.95% of variance, respectively, indicating structured market behaviour. Rythu Bazars, characterized by direct producer-to-consumer transactions, demonstrate eleven principal components explaining 76.39% of variance, suggesting greater heterogeneity in pricing mechanisms and operational dynamics. Retail malls and restaurants, with ten principal components each, account for 71.09% and 70.56% of variance, respectively, reflecting structured market behaviour and dominant procurement strategies. Findings from Data Envelopment Analysis revealed significant efficiency disparities among the five marketing channels. Retail malls (Channel 4) emerge as the most efficient channel, with a mean Variable Returns to Scale Technical Efficiency score of 0.982, while local wholesalers (Channel 1) register the lowest efficiency (0.918) due to resource misallocation and intermediary costs. Scale efficiency analysis indicates that Channels 1 and 2 (local wholesalers and Rythu Bazars) exhibit increasing returns to scale, suggesting potential efficiency gains through capacity expansion. Overall, retail malls and Rythu Bazars demonstrate higher efficiency scores, ensuring better price transparency and reduced intermediary costs. The study underscores the need for enhanced infrastructure, digital market integration, producer cooperatives, and cold storage facilities to improve market access and efficiency. VL - 10 IS - 6 ER -
Department of Agricultural Economics, Acharya NG Ranga Agricultural University (ANGRAU), Guntur City, India
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