Growth and Marketing Efficiency of Horticultural Crops in Kaparada, Gujarat

The study investigates the growth patterns and marketing efficiency of key horticultural crops in the Kaparada area of Valsad district, Gujarat. Over the past few decades, Gujarat has witnessed remarkable agricultural development, with horticulture emerging as a vital driver of the rural economy. This research focuses on understanding the performance of marketing channels for tomato and sweet potato in the Nana Pondha market of Kaparada region. Primary data were collected from producers, intermediaries, and retailers to analyze marketing costs, price spread, and efficiency across different channels. The findings reveal significant variation in marketing efficiency, with channel-I demonstrating the highest efficiency due to the absence of multiple intermediaries and reduced consumer price, while channel-III exhibited the lowest efficiency because of higher costs and wider price spread. The results highlight the importance of efficient market linkages in enhancing farmers’ income and reducing consumer burden. The study underscores the role of government initiatives, cooperative efforts, and improved market infrastructure in strengthening horticultural value chains. Policy recommendations emphasize the need for reducing intermediary layers, promoting direct farmer-consumer linkages, and encouraging collective marketing to ensure sustainable growth and equitable returns in the horticulture sector of Kaparada, Gujarat.

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Marketing efficiency: C-1 vs C-2 vs C-3 vs C-4Close ×

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Introduction

Horticulture has become a major driver of agricultural growth in India, and Gujarat has seen substantial expansion in area and production for several horticultural crops. Kaparada (Valsad district) is a significant horticultural producing region, especially for vegetables such as tomato and root crops like sweet potato. This paper examines the marketing channels, marketing costs, price spread, and marketing efficiency of selected horticultural crops in Kaparada. The objectives are to (1) document growth and cropping patterns, (2) identify key marketing channels, and (3) measure marketing efficiency and producer share across channels. Objectives 1. To document growth and cropping patterns in Kaparada. 2. To identify key marketing channels for target horticultural crops. 3. To analyze marketing costs, margins, price spread, and marketing efficiency. 4. To recommend policy and market interventions for improved efficiency.

Literature Review

Several recent studies have examined marketing efficiency and value chains for vegetables and other horticultural crops in India. Field-level assessments consistently show that producer share in the consumer rupee for perishable vegetables is often limited by multiple intermediaries and inadequate post-harvest infrastructure (Chand, 2020) [3] . Value-chain analyses highlight opportunities from reduced perishability, improved cold chains, and farmer organizations to capture greater value. Work specific to vegetable markets reports similar patterns of high marketing margins at wholesale and retail stages and documents methods to compute marketing efficiency (Acharya's method), used widely across Indian studies.

Methodology

The study used a mixed-methods approach. Primary data were collected via structured questionnaires from a stratified sample of farmers (tomato and sweet potato producers), wholesalers, commission agents, and retailers in the Kaparada/Nana Pondha market during the main marketing seasons. Secondary information on regional horticulture trends was gathered from government reports and published literature. Marketing channels were mapped from farmgate to consumer, and marketing cost, margin, price spread, producer's share, and marketing efficiency were calculated using standard formulas (marketing efficiency = value of output / marketing cost).

Results & Discussion

During the study only four channels were prevailing in Nana pondha market. These channels are discussed under sub heads.

1.) Channel-1 (Producer-Consumer)

In this channel commodity moved from producer to consumer directly. It was the shortest possible channel with two players in the chain. The price received by the farmers was more as compared to other channels because in this channel no intermediaries there as were involved. In this channel marketing efficiency was more due to direct transaction between producer and consumer.

2.) Channel-2 (Producer-Retailer-Consumers)

In this channel the commodity moved from producer to retailer and then it reaches to consumer. The price received by the farmers was less than the price received by the farmer in channel-1, due to the presence of intermediary. The marketing cost and margin were involved in this channel.

3.) Channel-3 (Producer-Wholesalers-retailer Consumers)

In this channel the commodity moved from producer to wholesaler and then retailer and then it reaches to consumer. The price received by the farmer is less than the price received by the farmer in channel-1 and channel-2, due to the presence of more number of intermediaries. In this channel, marketing cost and margin are high and marketing efficiency is poor.

Channel-4 (Producer-Commission Agent-Wholesaler-Retailer-Consumers)

In this channel the commodity moved from producer to commission agent and the retailer and then it reached to consumer. The price received by the farmer was less than the price received by the farmer in channel-1, channel-2, channel-3, due to presence of more intermediaries. In this channel, marketing cost and margin was very high and Marketing efficiency was very poor because of high price charged by the commission agent. The price spread was highest was observed in channel-3 with 18.08 per cent followed by channel-4 (16.16 per cent), channel-2 (8.42 per cent) and lowest in channel-1 (8.08 per cent). It means channel-3 is inefficient and most efficient channel was channel-1. Marketing efficiency has been worked out and presented in table 1. for tomato since the marketing cost and price spread in channel-3 was higher, the marketing efficiency was very low for channel-3. For channel-1 due to saving of marketing in absence of market intermediaries and relatively low consumer's price, the marketing efficiency was higher. It was highest for channel-1 with 12.36 per cent and lowest in channel-3 with 5.52 percent. Thus, channel-1 is more efficient than all other channel in case of marketing of tomato in nana pondha market. 2. for Sweet potato. Since the marketing cost and price spread in channel-3 was higher, the market efficiency was very low for channel-3. In channel-1, due to absence of market intermediaries and relatively low consumer's price, the marketing efficiency was found to be higher as compared to other channels (Table 2.). thus, channel -1 is more efficient than all other channels of marketing of sweet potato in nana pondha market.

Sr. No.	Particular	C-1	C-2	C-3	C-4
1	Farmer’s price	2300	2300	2300	2300
2 2.1	Marketing cost Loading & unloading Transportation Others	20 30 50	20 30 45	20 25 35	20 40 35
	Sub Total	100	95	80	95
2.2	Commission Agent Commission (6%)				27
	Sub Total				27
2.3	Wholesaler Grading & sorting Loading charges Commission charges Transportation cost Market fee Storage and spoilage			15 10 05 15 06 06
	Sub Total			57
2.4	Retailer Weighing charges Packaging Market fee Commission Storage and spoilage		12 10 06 05 08	12 10 06 05 08	12 10 06 05 08
	Sub Total		41	41	41
	Grand Total	100	136	178	163
	Consumer Price	2400 (100)	2436 (100)	2478 (100)	2463 (100)
	Price spread	4.16	5.58	7.18	6.61
	Marketing efficiency	24	17.91	13.92	15.11

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Marketing cost, Marketing efficiency and price spread of Sweet potato, nana pondha market (per quintal)

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Sr. No.	Particular	C-1	C-2	C-3	C-4
1	Farmer’s price	1250	1250	1250	1250
2 2.1	Marketing cost Loading & unloading Transportation Others	25 40 45	25 40 45	25 40 45	25 40 45
	Sub Total	110	115	115	105
2.2	Commission Agent Commission (6%)				49
	Sub Total				49
2.3	Wholesaler Grading & sorting Loading charges Commission charges Transportation cost Market fee Storage and spoilage			30 15 05 30 06 15
	Sub Total			101
2.4	Retailer Weighing charges Packaging Market fee Commission Storage and spoilage		15 20 06 04 15	15 20 06 04 15	15 20 06 04 15
	Sub Total		60	60	60
	Grand Total	110	175	276	241
	Consumer Price	1360 (100)	1365 (100)	1526 (100)	1491 (100)
	Price spread	8.08	8.42	18.08	16.16
	Marketing efficiency	12.36	11.86	5.52	6.18

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Marketing cost, Marketing efficiency and price spread of tomato, nana pondha market (per quintal)

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Conclusion & Policy Implications

The study concludes that strengthening direct market linkages, promoting collective marketing, and investing in post-harvest and market infrastructure are critical for improving marketing efficiency in Kaparada. Policy and local-level actions that reduce unnecessary intermediaries and enable farmers to access market information and aggregation services will increase producer income and contribute to inclusive horticulture growth in Valsad.

Key policy recommendations 1. Support formation and capacity building of FPOs and farmer cooperatives in Kaparada. 2. Invest in local aggregation centres and low-cost cold chain solutions to reduce perishability losses. 3. Promote digital market information and price discovery tools for smallholders. 4. Encourage direct marketing platforms (farmers' markets, contract arrangements) to shorten the price spread.

1. Hassan B, Bhattacharjee M, Wani S. Value-chain analysis of horticultural crops: regional analysis in Indian horticultural scenario. Int J Agric Econ Ext Sci. 2021;31(8):1164-82.
2. Chand K. Marketing of vegetables in developing economies: channels, margins, and efficiency. Int J Agric Sci. 2020;19(1):38-45.
3. Recent market integration study on tomato markets demonstrating price integration and cointegration across markets in India. 2024. International Journal of Agriculture and Food Science https://www.agriculturaljournals.com
4. Times of India. Mango accounts for 37% of horticulture area in Gujarat; Valsad highlighted for horticulture area. 2024.
5. VAMNICOM. Expansion of horticulture value chain in India -regional report. 2022.