Potential Impact of Dairy Cooperatives on Sustainable Milk Production: Evidence from Gujarat, India

Mahida, Darshnaben; Sendhil, R; Sirohi, Smita; Chandel, BS; Ponnusamy, K.; Sankhala, Gopal

doi:10.5958/2322-0430.2018.00088.4

Cited by 6 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Related to the third alternative policy, the importance of a stronger partnership or relationship between the farmers and dairy cooperatives has been discussed in many works of literature, including Gupta and Roy (2012), Susanty et al (2017) and Mahida et al (2018). The farmers may have benefited from the good partnership or relationship with dairy cooperative as they may have higher profit and better technical efficiency because the cooperative can provide a cheaper input and resource services.…”

Section: Resultsmentioning

confidence: 99%

“…Then, research on the collaboration between raw milk suppliers/dairy farmers and dairy cooperatives can be found in Kumar et al (2011), Gupta and Roy (2012), Susanty et al (2017) and Mahida et al (2018). Gupta and Roy (2012) investigated the issue of selection or participation of dairy farmers in a cooperative and used descriptive and regression analysis to assess the benefits received by dairy farmers from joining with the cooperative.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Dairy cooperatives play an important role in nurturing, strengthening and providing a livelihood to rural households and serve as a prominent organisation for providing inputs and resource services. This condition makes the dairy cooperative’s member farmers more technically efficient than non-members Mahida et al (2018). The dairy cooperative also assists the dairy farmer to integrate with modern formal milk marketing, as the dairy cooperative can act as the milk collector in the villages (Kumar et al , 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Exploring the best policy scenario plan for the dairy supply chain: a DEMATEL approach

Susanty

Puspitasari

Prastawa

et al. 2020

JM2

View full text Add to dashboard Cite

Purpose This research primarily aims to find and analyse the interaction among success factors for improving the performance of Indonesia’s dairy milk supply chain. Further, this research aims to formulate the right policies for improving the performance of the chain based on the success factor that belongs to cause groups. Design/methodology/approach The paper analyses 10 success factors for improving the performance of the Indonesian dairy supply chain with the decision-making trial and evaluation laboratory (DEMATEL) method and analyses the Delphi method to formulate the right policies for improving performance. Findings There are four important influencing factors that directly impact the overall system, i.e. the number of dairy cattle import, national milk demand, the total number of dairy farmers and the number of dairy cattle ownership or herd size. Several alternative policies have been designed by several experts according to the influencing factors, i.e. the government assists in the procurement of imported cattle, provides financial assistance to farmers in the form of low-interest financing, improves the partnership system between farmers and dairy cooperatives, provides a reward system for the farmers and increases the level of formality of contract between the farmers and cooperatives. Research limitations/implications Interrelationships of each success factor and the most important influencing success factors could not be generally determined because it depends on the point of view of the experts. Future research can apply the success factors proposed by this research to the different dairy milk supply chain. Then, this research used only nine experts for formulating alternative policies. Future research may repeat this method using multiple experts to justify the validity of the research. Moreover, this research only explored 21 success factors of the increase in the performance of the Indonesian dairy supply chain. Future research should consider not only the supply side and number of dairy cattle but also several success factors from the causal relationship diagram in the broader dairy milk supply chain. Practical implications This research provides essential insights for policymakers, as they have to understand and evaluate the success factors before formulating several alternative policies. Social implications The research has revealed that the right alternative policies can be designed, as the causal factor has been known. Originality/value This research contributes to applying a combination of causal relationship diagram of System Dynamic and DEMATEL method as a qualitative and quantitative method in one integrated way through performance dairy supply chain analysis. As a result, this research draws a policy for the dairy supply chain referring to the success factor as a cause for the low performance of the Indonesian dairy supply chain.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the best policy scenario plan for the dairy supply chain: a DEMATEL approach

Susanty

Puspitasari

Prastawa

et al. 2020

JM2

View full text Add to dashboard Cite

show abstract

“…The approach employing a variance-minimizing algorithm facilitates to determine the underlying factors that are more associated with the choice of farming. The regression tree model progressively splits the data into subsets to find the increasing homogeneity based on the given partition criteria (Mahida et al 2018, Zheng et al 2009, i.e. the dependent variable.…”

Section: Methodsmentioning

confidence: 99%

Determinants of contract farming in barley production – Regression tree approach

et al. 2022

View full text Add to dashboard Cite

Barley, a nutri-rich cereal is gaining momentum among stakeholders owing to multiple health benefits but the concern is its declining area, possibly attributed to lack of market and competitive pricing strategy. Amongst alternatives, contract farming is widely suggested for better price realisation and assured market. In the context, the present study was carried out during 2013-15 in four major barley growing states in India, viz. Haryana, Madhya Pradesh, Rajasthan and Uttar Pradesh for identifying the determinants of contract farming from a sample of 400 randomly selected farmers using regression tree approach. Findings indicated that the average yield of farmers enrolled in contract farming was 4791 kg/ha (n=90) against non-contractors with an estimated yield of 3549 kg/ha (n=310), implying a yield advantage of 35%. The practice of enrollment into contracts was popular in Rajasthan as corroborated by regression tree. The analysis also indicated that farm size, seed replacement behaviour, source of seed and area under barley were turned as deciding factors in contract enrollment. Overall, the study indicated that region plays a prominent role in enrollment into contracts despite multiple benefits availed. The study advocates barley growers to take advantage of contract farming, especially small-holders to enroll into contracts for mitigating price risk apart from self-empowerment in barley production.

show abstract

“…The results suggest that the dairy cooperative project’s intervention significantly increases household income and expenditure. Mahida et al (2018) examine the dairy cooperative’s role in enhancing dairy farmers’ technical efficiency. The results suggest that the dairy cooperative is one of the important institutions for dairy development in Gujarat and also enhances farmers’ technical efficiency by providing information and technical support to the dairy farmer.…”

Section: Literature Reviewmentioning

confidence: 99%

Impacts of Training Rural Dairy Producers in India: Role of Dairy Vigyan Kendra

Misra,

Parida,

Yadav

et al. 2023

International Journal of Rural Management

View full text Add to dashboard Cite

The state of Gujarat, home to a vibrant network of dairy cooperatives, plays a significant role in milk production, accounting for 7.69% of the country’s total milk output. It ranked fifth in milk production among all Indian states and union territories in 2017–18. The state piloted a unique and specialised dairy extension program for dairy farmers through Dairy Vigyan Kendra (DVK) to promote dairy farming in its Panchmahal district. The DVK aimed to train rural dairy farmers and improve their socio-economic conditions. This study examines how DVK interventions increase the income from dairy, the herd size and milk production of the beneficiary farmers in the Panchmahal district. The result shows that farmers’ participation in DVK training increased their income from dairying. Further, the results highlighted that DVK intervention significantly increased milk production in the Panchmahal district. Our results conclude that the government can replicate the DVK training model in other districts of Gujarat, helping millions of dairy farmers enhance their skills and obtain more output and income from dairy farming.

show abstract

Potential Impact of Dairy Cooperatives on Sustainable Milk Production: Evidence from Gujarat, India

Cited by 6 publications

References 0 publications

Exploring the best policy scenario plan for the dairy supply chain: a DEMATEL approach

Exploring the best policy scenario plan for the dairy supply chain: a DEMATEL approach

Determinants of contract farming in barley production – Regression tree approach

Impacts of Training Rural Dairy Producers in India: Role of Dairy Vigyan Kendra

Contact Info

Product

Resources

About