Positive Mathematical Programming for Farm Planning: Review

Nakashima, Takahiro

doi:10.6090/jarq.45.251

Cited by 8 publications

(6 citation statements)

References 29 publications

(60 reference statements)

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“…The calibration method employed in the present study followed the procedure previously published [17,27]. Decomposition of Equation (9) gives Equations ( 10) and (11).…”

Section: Selecting Calibration Methodsmentioning

confidence: 99%

“…Point A leads to the calibration method d i = p i + ρ * i /y i NF i and q i = 2ρ * i /y i NF i x obs i . This calibration method ensures the accurate reproduction of the observed levels of the farm-gate price and profit for each production process as well as the observed land-area allocation in the base year [17,19]. Point A was set as baseline in the present study.…”

Section: Selecting Calibration Methodsmentioning

confidence: 99%

“…Positive mathematical programming (PMP) has a substantial number of applications in the field of agricultural and resource economics [15][16][17][18][19]. Their focus has almost always been placed on the simulation analysis of farmers' responses to drastic changes in exogenous factors especially brought about by policy measures [20,21], while paying less attention to farmers' perception toward policy measures.…”

Section: Introductionmentioning

confidence: 99%

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Exploring Farmers’ Expectation toward Farm-Gate Price of Rice in Japan by Positive Mathematical Programming

Nakashima

Ishikawa

2022

Sustainability

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Positive mathematical programming (PMP) has a substantial number of applications in the field of agricultural and resource economics. Their focus has often been placed on the simulation analysis of farmers’ response to drastic changes in exogenous factors especially brought about by policy changes. In the present study, an exploration was made to widen the application area of the PMP approach, targeting farmers’ expectation toward the farm-gate price of rice in comparison with that of wheat under the policy to suppress overproduction. When domestic consumption is mature and the regulation of production by the government is present, farmers’ expectation toward the farm-gate price of a crop can be assumed to fall in response to an increased allocation of land area to produce the crop. The degree of the fall is defined as the expectation fall index (EFI) in the present study. A proposition was made as to the procedure for quantifying EFI using the PMP approach with statistical datasets of multiple years retrieved from the Ministry of Agriculture, Forestry, and Fisheries. The present study is considered to have provided a basis to discuss the formation processes of farmers’ attitudes toward policy measures.

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“…The calibration method employed in the present study followed the procedure previously published [17,27]. Decomposition of Equation (9) gives Equations ( 10) and (11).…”

Section: Selecting Calibration Methodsmentioning

confidence: 99%

Section: Selecting Calibration Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploring Farmers’ Expectation toward Farm-Gate Price of Rice in Japan by Positive Mathematical Programming

Nakashima

Ishikawa

2022

Sustainability

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“…These models are often complex, attempt to simultaneously find equilibrium quantities and prices of all goods and all primary resources, and typically require mathematical programming software to produce numerical solutions. Most of the better mathematical programing solvers such as GAMS R allow use of large sets of simultaneous equations that if specified as a convex model, such as quadratic programming (Nakashima, 2011;Zhang et al, 2019), can solve reliably. The objective function used for such models is typically producer plus consumer surplus summed over the goods, and for the case of dynamic models, summed over periods.…”

Section: How: Building An Hea Economic and Physical Elementsmentioning

confidence: 99%

Hydroeconomic Analysis to Guide Climate Adaptation Plans

Ward

2021

Front. Water

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Successful climate adaptation needs to sustain food, water, and energy security in the face of elevated carbon emissions. Hydroeconomic analysis (HEA) offers considerable potential to inform climate adaptation plans where water is an important element of economic activity. This paper's contribution is to identify how HEA can inform climate adaptation plans by minimizing economic costs of responding to climate induced changes in water supplies. It describes what HEA is, why it is important, how researchers implement it, who has made significant contributions, and places where it has informed policy debates. It also describes future directions for the use of HEA to guide climate adaptation.

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“…In fact, since its introduction, PMP and related methods have been applied to a rapidly growing number of models at farm, regional, and sectorial level. For a review of this literature see Nakashima [12] and Heckelei et al [13].…”

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confidence: 99%

Modeling at farm level: Positive Multi-Attribute Utility Programming

Gómez‐Limón

Gutiérrez‐Martín

Riesgo

2016

Omega

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This article proposes a new mathematical programming model for the simulation of farmers' decision-making. We have developed a model based on a multi-attribute utility approach that takes into consideration the most relevant attributes of farmers within a positive framework.This approach overcomes the limitations found in some mathematical models used in the literature to simulate farmers' behavior. A five-step procedure is presented in order to elicit the utility function that reproduces farmers' current decision-making. We illustrate this positive multi-attribute approach using a sample of farmers in an irrigated area in southern Spain, where our simulations demonstrate the accurateness of the model in reproducing actual farmers' decision-making. We also find evidence that the model is able to explain the heterogeneous behavior of farmers within a homogeneous agricultural system.

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Positive Mathematical Programming for Farm Planning: Review

Cited by 8 publications

References 29 publications

Exploring Farmers’ Expectation toward Farm-Gate Price of Rice in Japan by Positive Mathematical Programming

Exploring Farmers’ Expectation toward Farm-Gate Price of Rice in Japan by Positive Mathematical Programming

Hydroeconomic Analysis to Guide Climate Adaptation Plans

Modeling at farm level: Positive Multi-Attribute Utility Programming

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