Long-term options for land use in the European community

Rabbinge, R.; Latesteijn, H.C. van

doi:10.1016/0308-521x(92)90021-f

Cited by 70 publications

(16 citation statements)

References 4 publications

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“…The Ground for Choices study (Rabbinge and van Latesteijn 1992) carried out by the Netherlands Scientific Council for Government Policy (WRR), is a paradigm case of a land use study of explorative nature that fulfilled a symbolic role as well as a heuristic one. It was highly successful in putting the need for further reforms to the EU's Common Agricultural Policy (CAP) onto the agenda in the early 1990s, just after the so-called MacSharry reforms initiated a process of price liberalization with direct income support measures substituting price support.…”

Section: Model Impact and Utility In 'Real World' Policy Formulation mentioning

confidence: 99%

Computerized models: tools for assessing the future of complex systems?

Ittersum¹,

Sterk²

2015

The Tools of Policy Formulation

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Section: Model Impact and Utility In 'Real World' Policy Formulation mentioning

confidence: 99%

Computerized models: tools for assessing the future of complex systems?

Ittersum¹,

Sterk²

2015

The Tools of Policy Formulation

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“…Then linear programming is recognized as an important tool for agricultural land use exploration (Hazel & Norton, 1986;De Wit et al, 1988;Van Keulen, 1990;Bouman et al, 1998). It can be used to explore land use allocations that optimize agricultural, economic or environmental objectives at the farm level (Rossing et al, 1997) and at the regional level (WRR, 1992;Rabbinge & Van Latesteijn, 1992;Van Ittersum et al, 1998;Bouman & Nieuwenhuyse, 1999;Raju & Kumar, 1999).…”

Section: Introductionmentioning

confidence: 99%

Estimation of Optimal Land Use Allocation Among Small Holder (A1) Farmer Households in Zimbabwe. A Case Study of Long Croft Farm, in Mazowe District

Mugabe¹,

Chipunza²,

Mupaso³

et al. 2014

JAS

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This study aimed to develop an optimal land use plan for Long Croft farm (LCF) by assessing the available land resources. It evaluates the potential of the land resources for recommending optimum, sustainable and appropriate land utilisation in agriculture development. Possible ways in improving farming systems and more efficient utilization of the scarce available agricultural resources especially arable land were determined. The study used quantitative analytical approach in optimal land use allocation analysis. A total of thirty six structured questionnaires were used to gather data necessary for analysis. Every household at Long Croft farm was taken as a sampling unit and the area consisted of 36 A1 farmer households. The Linear programming model with an objective function that seeks to maximise net farm income subject to land, labour, capital and consumption constraints was run using Microsoft excel premium solver. The results of the study showed that A1 households are insecure with respect to their land holdings; they cannot use their land as collateral security which is affecting farmer access to credit. The households are also much constrained in land, labour, capital and consumption and as such their land allocation has been found to be not optimal. The LP (linear programming) model has depicted maize, soya beans and sugar beans for LCF when they are no factor markets. However introduction of factor markets (land and labour markets) and farmer performance groups depicted production of small grains and maize. The land reform programme promulgated by the government in 2000 should have focused on equitable right of use, optimising sustainable production, protection of natural resources/ environment against degradation and increase the effectiveness of economic growth of rural and urban population. Most of the fast track land reform developmental activities were done without proper resource surveying for optimum and sustainable resource utilization, especially land, hence great competition and losses of good agricultural uses to inefficient agricultural uses. Resource surveying, land evaluation and land use planning should be employed in Zimbabwe's agriculture to boast production.

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“…The GOAL-QUASI model (Van Ittersum et al, 1995 ;Hijmans and Van Ittersum, 1996) is a simplified version of the GOAL model (General Optimal Allocation of Land use) (Scheele, 1992;Rabbinge and Van Latesteijn, 1992). GOAL is a multiple goal linear programming model which was developed for exploration of land use options in the European Community (EC 12).…”

Section: The Goal-quasi Modelmentioning

confidence: 99%

A framework to study nearly optimal solutions of linear programming models developed for agricultural land use exploration

Makowski

Hendrix

Ittersum

et al. 2000

Ecological Modelling

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In problems related to agricultural land use exploration, nearly optimal solutions of linear programming models constitute alternative land use allocations that result in good, albeit not optimal, levels of satisfaction of objectives. In this paper, we develop a framework to study nearly optimal solutions. The principle is to generate a group of nearly optimal solutions, to summarize the generated solutions by low dimensional vectors called 'aspects of the solutions ' and, finally, to present

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Long-term options for land use in the European community

Abstract: Agriculture in the European

Cited by 70 publications

References 4 publications

Computerized models: tools for assessing the future of complex systems?

Computerized models: tools for assessing the future of complex systems?

Estimation of Optimal Land Use Allocation Among Small Holder (A1) Farmer Households in Zimbabwe. A Case Study of Long Croft Farm, in Mazowe District

A framework to study nearly optimal solutions of linear programming models developed for agricultural land use exploration

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