DEA-based Malmquist productivity indexes for understanding courts reform

Falavigna, Greta; Ippoliti, Roberto; Ramello, Giovanni B.

doi:10.1016/j.seps.2017.07.001

Cited by 50 publications

(33 citation statements)

References 52 publications

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“…However, neither of them investigates whether the changes are statistically significant. Finally, Falavigna et al (2017) contribute to the literature by applying a bootstrapped MPI in a two-stage analysis, proposed by Simar and Wilson (2007), to investigate the impact of structural changes in Italian district courts during 2009-2011. The MPI is found to be 0.3%, EC -0.1%, and TC 0.4%.…”

Section: Literature Reviewmentioning

confidence: 99%

“…9 Lewin et al (1982), as well as all the other studies, use the number of employees as an input. In some studies, employees are measured as the number of judges (Falavigna et al 2017;Ferrandino 2014;Finocchiaro Castro and Guccio 2014). In other studies, the personnel are separated into judges and office staff (Major 2015;Santos and Amado 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

“…For example, if the caseload is low, more time can be spent on each case, which, on average, generates a more precise judgement. Outputs normally consist of the number of decided cases (Falavigna et al 2017;Nissi and Rapposelli 2010). In some studies, cases are separated by type; for example, criminal cases and civil cases (Finocchiaro Castro and Guccio 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Furthermore, the international studies do not, due to data limitations, investigate the potential heterogeneity in resource spending within the output categories. Moreover, statistical inference is left out, with the exception of Falavigna et al (2017), and TFP is at most decomposed into three components.…”

Section: Literature Reviewmentioning

confidence: 99%

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A bootstrapped Malmquist index applied to Swedish district courts

Mattsson

Månsson

Andersson³

et al. 2018

Eur J Law Econ

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This study measures the total factor productivity (TFP) of the Swedish district courts by applying data envelopment analysis to calculate the Malmquist productivity index (MPI) of 48 Swedish district courts from 2012 to 2015. In contrast to the limited international literature on court productivity, this study uses a fully decomposed MPI. A bootstrapping approach is further applied to compute confidence intervals for each decomposed factor of TFP. The findings show a 1.7% average decline of TFP, annually. However, a substantial variation between years can be observed in the number of statistically significant courts below and above unity. The averages of the components show that the negative impact is mainly driven by negative technical change. Large variations are also observed over time where the small courts have the largest volatility. Two recommendations are: (1) that district courts with negative TFP growth could learn from those with positive

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

A bootstrapped Malmquist index applied to Swedish district courts

Mattsson

Månsson

Andersson³

et al. 2018

Eur J Law Econ

View full text Add to dashboard Cite

show abstract

“…Kamarudin, Hue, Sufían, and Anwar (2017) used DEA and the MPI to evaluate the level of productivity of 29 Islamic banks from Southeast Asian countries, namely, Brunei, Indonesia and Malaysia. Falavigna, Ippoliti, and Ramello (2018) used DEA in combination with the MPI to evaluate the productivity of tax judiciary in Italy and then examined the impact of the policy on improving judicial productivity. Khalili and Alinezhad (2018) used the BSC, DEA and the MPI to analyze and investigate the efficiency of the green supply chain of 15 manufacturing firms in Iran.…”

Section: Malmquist Productivity Index (Mpi)mentioning

confidence: 99%

Application of a Hybrid Method in Disaster Prevention and Relief Evaluation

Liu

Wang

2019

Technological and Economic Development of Economy

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The purpose of this study is to propose a hybrid method for disaster prevention and relief (DPR) evaluation for Taiwan. Through the hybrid method and evaluation results, the central and local governments of Taiwan could continuously improve and strengthen their DPR system. The main structure of the evaluation is based on the balanced scorecard (BSC), and 15 indicators are gathered from the literature on related issues. These indicators are further analyzed by data envelopment analysis (DEA) and the Malmquist productivity index (MPI) to assess the DPR efficiency of 13 administrative regions in Taiwan. The analysis shows that the DPR system in Taiwan might be improved in Yunlin and Hsinchu City, two administrative regions analyzed during the three stages and time frame studied. The indicators that most significantly affect DPR efficiency are the average number of people served by each government employee or teacher (L1), the supervision score of the Department of Medical Services (DMS) of the Ministry of Health and Welfare (I4), the number of licensed medical practitioners per 10.000 people (C1) and the number of social welfare workers per 10.000 people (C2). These indicators also reflect Taiwan's current shortages in DPR-related and medical personnel.Keywords: disaster prevention and relief, balanced scorecard, data envelopment analysis, Malmquist productivity index. JEL Classification: O47, C44, C61, H12.

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Institutional Efficiency and Financial Health

Falavigna

Ippoliti²

2022

Global Encyclopedia of Public Administration, Public Policy, and Governance

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DEA-based Malmquist productivity indexes for understanding courts reform

Cited by 50 publications

References 52 publications

A bootstrapped Malmquist index applied to Swedish district courts

A bootstrapped Malmquist index applied to Swedish district courts

Application of a Hybrid Method in Disaster Prevention and Relief Evaluation

Institutional Efficiency and Financial Health

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