Brazilian authorities have developed programs to encourage smallholder family farmers to supply food to schools by giving them priority through the government food procurement programs, which are an example of institutional markets. However, the participation of vulnerable farmers to these programs is often limited by scarce resources that do not allow farmers attending all public calls, so it is necessary to support them in deciding which ones to attend, considering their objectives and constraints, and identifying the efficient ones. The aim of the paper is to support the decision making of choosing these public calls, by the vulnerable farmers. This will be done using Data Envelopment Analysis (DEA) to rank the public calls (these public calls will be the model’s Decision-Making Units - DMUs) using the relative efficiency as a ranking criterion. One hypothetical DMU with minimum expected values could be considered for application, so the efficient calls (i.e. the ones that surpass the minimum expected) will be considered for application. In a second stage, a tiebreaking method is used to rank only the efficient ones, so they can choose only the best ranked efficient calls if there are resource constraints. An empirical application using calls from the National School Meal Program (PNAE) will be made using the developed model. The main contribution is helping smallholder family farmers to make more grounded decisions.
|Number of pages||1|
|Publication status||Published - 24 Jun 2019|
|Event||30th European Conference on Operational Research - Dublin, Ireland|
Duration: 23 Jun 2019 → 26 Jun 2019
|Conference||30th European Conference on Operational Research|
|Period||23/06/19 → 26/06/19|
- Data Envelopment Analysis
- efficiency analysis
- developing countries
Nocera Alves Junior, P., Costa Melo, I., Severino, M. R., Yamanaka, L., Tuni, A., & Rentizelas, A. (2019). Supporting decisions of smallholder farmers on public calls participation in Brazil: a Data Envelopment Analysis approach. Abstract from 30th European Conference on Operational Research, Dublin, Ireland.