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| Registros recuperados: 40 | |
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| Hardaker, J. Brian. |
| The title relates to the title of the Inaugural Lecture of the Late Professor John L Dillon, Foundation Professor of Farm Management at UNE, in whose memory this lecture series was established. The author has been involved in the farm management discipline for more than 50 years. He reflects on the nature and origins of the discipline and outlines some key aspects of its evolution. The discipline boomed in the 1960s and 70s, both internationally and at UNE. Yet it has fallen into relative decline subsequently. He suggests some of the reasons for the decline, focussing particularly on issues in Australia. He discusses the need for a revival in a world in which food security is likely to be an increasingly serious problem. He concludes with thoughts about... |
| Tipo: Article |
Palavras-chave: Farm Management. |
| Ano: 2011 |
URL: http://purl.umn.edu/120906 |
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| Hardaker, J. Brian; Patten, Louise H.; Pannell, David J.. |
| A programming technique, utility-efficient programming, is developed for farm planning under risk. The objective function is the parametric sum of two parts of the utility function in which the degree of risk aversion varies systematically with the parameter. This technique has several advantages over those previously available: a number of types of utility functions are applicable including ones exhibiting decreasing risk aversion; the degree of risk aversion can be limited to a plausible range; the form of the distribution for activity net revenues is flexible; and the technique can be used with available algorithms. The method is illustrated using a parametric linear programming algorithm. |
| Tipo: Journal Article |
Palavras-chave: Farm Management; Risk and Uncertainty. |
| Ano: 1988 |
URL: http://purl.umn.edu/22959 |
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| Hardaker, J. Brian; Pandey, Sushil; Patten, Louise H.. |
| The complexity of modelling risk in farming systems is explained and the artistic nature of the task noted. A brief outline is presented of an appropriate conceptual framework, drawing attention to the merits of stochastic efficiency criteria for analysis of systems when risk preferences of individual farmers are unavailable. A distinction is drawn between planning problems with and without embedded risk. The merits of 'utility efficient' (UE) programming are explained. Extensions of programming models, including UE formulations, to embedded risk using discrete stochastic programming are reviewed. The paper concludes with a discussion of the importance of correctly understanding the way risk impacts upon the target farming system, and then of formulating a... |
| Tipo: Journal Article |
Palavras-chave: Farm Management. |
| Ano: 1991 |
URL: http://purl.umn.edu/12460 |
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| Rola-Rubzen, Maria Fay; Hardaker, J. Brian. |
| Poverty reduction has been an underlying goal of governments and the development community since the Second World War, but it was the 1973 Nairobi address of Robert S. McNamara, then President of the World Bank, that created a new commitment to directly address poverty reduction in the quest for development (McNamara 1973). More than half a century after the war and close to 30 years after Robert McNamara’s speech, poverty is still rampant in many parts of the globe. Reflections on why this scourge remains, and what we as agricultural economists can do about it, were the driving forces behind our paper with the late John L. Dillon entitled ‘Agricultural economists and world poverty: progress and prospects’ (Rola-Rubzen et al. 2001). The part of our paper... |
| Tipo: Journal Article |
Palavras-chave: Teaching/Communication/Extension/Profession. |
| Ano: 2003 |
URL: http://purl.umn.edu/116193 |
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| Bartholomaeus, M.K.; Hardaker, J. Brian. |
| The effectiveness of fully integrated group farming as a means of permitting farmers to achieve economies by working together and to share risk is investigated using two case-study farms from the mid-north region of S.A. Linear programming is used to explore the scope for economies achievable through group farming. The results show that, by joint use of resources, total net farm income can be increased and average costs per unit value of output can be reduced. The risk-sharing advantages of group farming are examined using quadratic risk programming. A group farm plan is found that generates a risky income which, when shared between the two risk-averse farmers, allows both to increase their expected utilities. The group plan also generates a higher... |
| Tipo: Journal Article |
Palavras-chave: Risk and Uncertainty. |
| Ano: 1981 |
URL: http://purl.umn.edu/22312 |
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| Powell, Roy A.; Hardaker, J. Brian. |
| This paper discusses the use of sub-optimal programming techniques in farm management. The scope for employing such techniques to derive farm plans which more closely conform to farmers' real objectives and preferences is reviewed. A method using conventional linear programming in this way is illustrated by means of some planning results for a group of farms in northern N.S.W. |
| Tipo: Journal Article |
Palavras-chave: Farm Management. |
| Ano: 1969 |
URL: http://purl.umn.edu/9227 |
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| Hardaker, J. Brian; Richardson, James W.; Lien, Gudbrand D.; Schumann, Keith D.. |
| A method of stochastic dominance analysis with respect to a function (SDRF) is described and illustrated. The method, called stochastic efficiency with respect to a function (SERF), orders a set of risky alternatives in terms of certainty equivalents for a specified range of attitudes to risk. It can be applied for conforming utility functions with risk attitudes defined by corresponding ranges of absolute, relative or partial risk aversion coefficients. Unlike conventional SDRF, SERF involves comparing each alternative with all the other alternatives simultaneously, not pairwise, and hence can produce a smaller efficient set than that found by simple pairwise SDRF over the same range of risk attitudes. Moreover, the method can be implemented in a simple... |
| Tipo: Journal Article |
Palavras-chave: Risk and Uncertainty. |
| Ano: 2004 |
URL: http://purl.umn.edu/117962 |
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| Trebeck, David B.; Hardaker, J. Brian. |
| Methods of whole-farm planning under risk are briefly reviewed, noting especially associated operational problems. A planning problem relating to spatial diversification of beef production in the Clarence region of N.S.W. is investigated using a model comprising both simulation and linear programming components. It is concluded that such composite models are valuable for the analysis of sequential stochastic decision processes not presently amenable to solution by stochastic programming alone. |
| Tipo: Journal Article |
Palavras-chave: Farm Management. |
| Ano: 1972 |
URL: http://purl.umn.edu/22800 |
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| Registros recuperados: 40 | |
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