2004
DOI: 10.1016/j.fcr.2004.04.003
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Use of Lorenz curves and Gini coefficients to assess yield inequality within paddocks

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Cited by 86 publications
(39 citation statements)
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“…The Gini coefficient is commonly used in economics and ecology to determine the degree to which some commodity is distributed among individuals (26) and is, as such, a direct measure of equality of distribution. For our purposes, we can use this approach to measure the equality of distribution for individual TCR clones in naïve and immune epitope-specific CTL populations.…”
Section: Resultsmentioning
confidence: 99%
“…The Gini coefficient is commonly used in economics and ecology to determine the degree to which some commodity is distributed among individuals (26) and is, as such, a direct measure of equality of distribution. For our purposes, we can use this approach to measure the equality of distribution for individual TCR clones in naïve and immune epitope-specific CTL populations.…”
Section: Resultsmentioning
confidence: 99%
“…Taking these considerations into account, we use this approach. This concentration ratio is widely used in many fields of economics as well as in ecology and agronomics, but there are fewer applications in agricultural and environmental economics together Sadras and Bongiovanni, 2004;Seekell et al, 2011). In a general context, it ranges from zero (equal distribution) to one (perfect inequality).…”
Section: Measuring Rural Income Distributionmentioning
confidence: 99%
“…The Gini coefficient is probably the most common inequality measure, because its simplicity and its desirable properties. This concentration ratio is widely used in many fields of economics as well as in ecology and agronomics, but there are fewer applications in agricultural and environmental economics together ( [39][40][41]). In a general context, it ranges from zero (equal distribution) to one (perfect inequality), and fulfills the properties of mean independence, population size independence, symmetry, and Pigou Dalton transfer sensitivity ( [42]).…”
Section: Distributional Efficiency Using the Decomposition Of The Ginmentioning
confidence: 99%