Spatial heterogeneity in composite indicator: A methodological proposal

Fusco, Elisa; Vidoli, Francesco; Sahoo, Biresh K.

doi:10.1016/j.omega.2017.04.007

Cited by 50 publications

(27 citation statements)

References 70 publications

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“…For instance, the set of background conditions selected for the analysis may be unsuccessful in encapsulating the institutional setting and administrative constraints of higher level authorities at least partially constraining the flexibility for municipalities in defining their waste policies. As an alternative to the conditional version of the BoD-model, to address the issue of spatial proximity/dependence, a recent extension of Fusco et al (2018) is implemented. The notion is to compare and evaluate municipalities with local potential competitors in a way such that the BoD-model accounts for the underlying spatial point pattern process.…”

Section: Methodsmentioning

confidence: 99%

“…the institutional setting and administrative constraints of higher level authorities at least partially constraining the flexibility for municipalities in defining their waste policies). Therefore, as an alternative to the conditional version of the BoD-model, to address the issue of spatial proximity/dependence, a recent extension of Fusco et al (2018) is implemented.…”

Section: Choice Of the Measurement Modelmentioning

confidence: 99%

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Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector

Fusco

Vidoli

Rogge

2020

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This paper introduces a new composite indicator method integrating the spatial dependence into the robust directional model in the case of undesirable outputs. The proposed approach is advantageous compared to the traditional and conditional robust BoD models in that it allows to compare the performance of individual units with local cluster of peers. The methodology has been tested on a very detailed database of Italian municipalities for the year 2015 in the municipal solid waste collection and processing sector and confirms the existence of strong local constraints linked to the disposal facilities planned by higher level Authorities.

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Section: Methodsmentioning

confidence: 99%

Section: Choice Of the Measurement Modelmentioning

confidence: 99%

Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector

Fusco

Vidoli

Rogge

2020

Omega

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“…This is achieved by allowing dynamic inefficiency to be a function of both individual and neighbour characteristics as Skevas and Grashuis (2020) do in a static inefficiency framework. Although not using exact location information of latitude and longitude and not applied to agriculture, Fusco et al (2018Fusco et al ( , 2019 present an alternative single-step DEA approach in which the inefficiency of each unit is measured relative to other units that belong to the same territory and where the number of neighbours is estimated empirically. However, this study uses the Skevas and Grashuis (2020) approach where inefficiency is first calculated based on a common frontier and spatial spillovers are sought in a second-stage regression.…”

Section: Spatial Truncated Bootstrap Regressionmentioning

confidence: 99%

Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming

Skevas¹

2020

J Agricultural Economics

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This article examines the presence of spatial spillovers in farms' dynamic technical inefficiency scores using Data Envelopment Analysis and a second-stage spatial truncated bootstrap regression model. Dynamic inefficiency is measured in terms of variable input contraction and gross investment expansion, while the secondstage model allows an individual's dynamic inefficiency to be influenced by both own and neighbours' characteristics. The empirical application focuses on the panel data of specialised Dutch dairy farms observed over the period 2009-2016 and for which exact geographical coordinates of latitude and longitude are available. The results confirm the existence of spatial spillovers in farmers' dynamic technical inefficiency levels. Although changes in neighbours' subsidies do not significantly influence an individual's inefficiency, an increase in neighbours' age reduces an individual's performance, while an increase in neighbours' levels of intensification improves an individual's dynamic efficiency.

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“…10 Previous studies using survey data have shown that respondent characteristics do significantly affect the attainable setor at least the perceived attainable set(Cordero, Salinas-Jiménez, & Salinas-Jiménez, 2017;Verschelde & Rogge, 2012). In addition, other environmental variables can be related to the frontier, such as the location of the evaluated unit(Fusco, Vidoli, & Sahoo, 2017) and its political environment(Kristof De Witte & Geys, 2013). In order to circumvent the restrictive separability condition, we choose to develop our model building on the work of…”

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confidence: 99%