2015
DOI: 10.1016/j.ijpe.2015.03.030
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Measurement of input-specific productivity growth with an application to the construction industry in Spain and Portugal

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Cited by 63 publications
(47 citation statements)
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“…(), Skevas and Oude Lansink (), Mahlberg and Luptacik () and Kapelko et al . (). Yet another approach to measuring an input‐specific Luenberger indicator is based on the Principle of Least Action that is related to the notion of least distance and the determination of closest strongly efficient targets (Aparicio et al ., ).…”
Section: Introductionmentioning
confidence: 97%
“…(), Skevas and Oude Lansink (), Mahlberg and Luptacik () and Kapelko et al . (). Yet another approach to measuring an input‐specific Luenberger indicator is based on the Principle of Least Action that is related to the notion of least distance and the determination of closest strongly efficient targets (Aparicio et al ., ).…”
Section: Introductionmentioning
confidence: 97%
“…Hence, effective financial management can reduce them and improve project success [64]. Construction firms should improve capital use by reducing the size of fixed costs in relation to the variable costs [14]. Planning and control measures are important in the carrying out of the project, as the financial performance of the contractor is linked to the achievement of the cost objectives [103].…”
Section: The Effect Of Financial Capability On Innovation and Performmentioning
confidence: 99%
“…Furthermore, this sector has a huge capacity to generate both direct and indirect employment [8][9][10]12]. During the previous economic recession, the Spanish construction sector became the epicentre of the crisis, suffering a strong downturn [14]. Despite this critical situation, the influence of construction on the Spanish economy remained higher than in other European countries [11,15].…”
Section: Introductionmentioning
confidence: 99%
“…To do that, we followed Kapelko et al (2015). By analogy with their aproach, we first define a term that measures efficiency change under Variable Returns to Scale (VRS), denoted as ECVRS.…”
Section: The Weighted Additive Distance Functionmentioning
confidence: 99%