Supporting decisions of smallholder farmers on public calls participation in Brazil: a Data Envelopment Analysis approach

Paulo Nocera Alves Junior, Isotilia Costa Melo, Maico Roris Severino, Lie Yamanaka, Andrea Tuni, Athanasios Rentizelas

Research output: Contribution to conferenceAbstract

Abstract

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.

Conference

Conference30th European Conference on Operational Research
Abbreviated titleEURO
CountryIreland
CityDublin
Period23/06/1926/06/19
Internet address

Fingerprint

Data envelopment analysis
Decision making
Food supply
Farmers
Smallholder farmers
Brazil
Participation

Keywords

  • Data Envelopment Analysis
  • efficiency analysis
  • developing countries

Cite this

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.
Nocera Alves Junior, Paulo ; Costa Melo, Isotilia ; Severino, Maico Roris ; Yamanaka, Lie ; Tuni, Andrea ; Rentizelas, Athanasios. / 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.1 p.
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note = "30th European Conference on Operational Research, EURO ; Conference date: 23-06-2019 Through 26-06-2019",
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Nocera Alves Junior, P, Costa Melo, I, Severino, MR, Yamanaka, L, Tuni, A & Rentizelas, A 2019, 'Supporting decisions of smallholder farmers on public calls participation in Brazil: a Data Envelopment Analysis approach' 30th European Conference on Operational Research, Dublin, Ireland, 23/06/19 - 26/06/19, .

Supporting decisions of smallholder farmers on public calls participation in Brazil : a Data Envelopment Analysis approach. / Nocera Alves Junior, Paulo; Costa Melo, Isotilia; Severino, Maico Roris; Yamanaka, Lie; Tuni, Andrea; Rentizelas, Athanasios.

2019. Abstract from 30th European Conference on Operational Research, Dublin, Ireland.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - Supporting decisions of smallholder farmers on public calls participation in Brazil

T2 - a Data Envelopment Analysis approach

AU - Nocera Alves Junior, Paulo

AU - Costa Melo, Isotilia

AU - Severino, Maico Roris

AU - Yamanaka, Lie

AU - Tuni, Andrea

AU - Rentizelas, Athanasios

PY - 2019/6/24

Y1 - 2019/6/24

N2 - 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.

AB - 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.

KW - Data Envelopment Analysis

KW - efficiency analysis

KW - developing countries

M3 - Abstract

ER -

Nocera Alves Junior P, Costa Melo I, Severino MR, Yamanaka L, Tuni A, Rentizelas A. Supporting decisions of smallholder farmers on public calls participation in Brazil: a Data Envelopment Analysis approach. 2019. Abstract from 30th European Conference on Operational Research, Dublin, Ireland.