Incorporating economic risk aversion in agroforestry planning

Lilieholm, Robert J.; Reeves, Laurence H.

doi:10.1007/bf00129619

Cited by 16 publications

(4 citation statements)

References 9 publications

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“…Some investigations deal with this question in relation to the assessment of agroforestry systems and non-timber forest products (e.g. Blandon, 1985;Lilieholm and Reeves, 1991;Babu and Rajasekaran, 1991). In the general field of ecosystem investigations Figge (2004) noticed that although the correlations between diversity and stability have been discussed several times, the parallels between approaches of financial mathematics and ecology have generally not been acknowledged.…”

Section: Forestry Studies and Financial Uncertaintymentioning

confidence: 98%

Investment decisions under uncertainty—A methodological review on forest science studies

Hildebrandt

Knoke

2011

Forest Policy and Economics

118

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Section: Forestry Studies and Financial Uncertaintymentioning

confidence: 98%

Investment decisions under uncertainty—A methodological review on forest science studies

Hildebrandt

Knoke

2011

Forest Policy and Economics

118

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“…It is well recognized that the aspects of risk in economic analysis of agroforestry need explicit consideration [1,26]. Introduction of agroforestry into the already existing cropping systems in regions of adverse climatic conditions could be seen essentially as a strategy to reduce the risk in net returns of crops due to yield uncertainty [7].…”

Section: Introductionmentioning

confidence: 99%

“…Also the risk of agroforestry systems in respect to their economic outcome can vary considerably [23]. While there are some studies that analyze the risk of hypothetical agroforestry systems [7,26,38], no rigorous analysis of agroforestry systems has been carried out towards their influence on farm risk and uncertainty. Also there exists very limited empirical evidence on the associated changes in the pattern of land use and income generation when the uncertainty in the net farm income is accounted for.…”

Section: Introductionmentioning

confidence: 99%

Agroforestry, attitude towards risk and nutrient availability: a case study of south Indian farming systems

Babu

Rajasekaran

1991

Agroforest Syst

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Introduction of two systems of agroforestry to the farmers portfolio is evaluated for their changes in cropping pattern, input use, income generation, farmers attitude towards risk and nutrient availability. Two different types of farmers are studied under both irrigated and dryland farming systems. Farm survey data collected from south Indian villages have been used with a mean-variance framework to identify the risk aversion levels of farmers. The results indicate that the risk-taking preferences of farmers should be given consideration in evaluating the impact of agroforestry systems. Among the two agroforestry systems analyzed, the one with drumstick is shown to increase the risk of crop production while the one with leucaena reduces the risk and enables farmers to invest in more risky cash crops. The impact of agroforestry on crop allocation, input use and income differs due to the differences in resource availability of farmers. The influence of agroforestry on nutrient availability of the farm households also differs based on the components of agroforestry, orientation of farming and the nature of farming systems. It is argued that design of agroforestry systems should consider differences in resource constraints in farming systems and risk attitudes of farmers towards their allocation decisions and that such considerations would largely enhance the successful adoption of agroforestry in developing countries.

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“…The descriptive model provides a precise description of some properties of the system such as its architecture (Oldeman, 1992;De Reffye et al, 1995) or its carbon or energy budget (McMurtrie and Wolf, 1983;González, 1984). The prescriptive model generates management recommendations according to land allocation optimisation (Maxwell et al, 1979), risk aversion (Lilieholm and Reeves, 1991) or economic criteria (Garcia-de-Ceca and Gebremedhin, 1991). These models are generally based on linear inter-relationships between tree cover, forage and/or animal production (Uresk and Sevenson, 1989;Mitchell and Bartling, 1991;Scanlan, 1992;Khan and Pathak, 1995).…”

Section: Introductionmentioning

confidence: 99%

ALWAYS: a plot-based silvopastoral system model

Bergez¹,

Etienne²,

Balandier³

1999

Ecological Modelling

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Accounting for interactions is an important feature in ecological modelling when dealing with complex systems. ALWAYS is an object-oriented model which describes the biophysical functioning of a silvopastoral system at a plot and daily scale. The main processes linking the five components of the system (climate, tree, sward, soil and animal) are described. The interactions processes between the different components of the system are taken into account and resources sharing is modelled. The main biophysical equations are developed (tree and sward growth, water cycle, transmitted PAR). ALWAYS offers three ways of running it: (i) interactively by running the simulation year by year and checking results at the end of each year using graphs and output files; (ii) automatically by describing the management over the full tree rotation and (iii) in a sensitivity analysis mode to test parameters from the yearly or rotation outputs. Examples of output files, written in an ASCII format, are provided. Such a model is the first step towards a more effective decision support tool.

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Incorporating economic risk aversion in agroforestry planning

Cited by 16 publications

References 9 publications

Investment decisions under uncertainty—A methodological review on forest science studies

Investment decisions under uncertainty—A methodological review on forest science studies

Agroforestry, attitude towards risk and nutrient availability: a case study of south Indian farming systems

ALWAYS: a plot-based silvopastoral system model

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