Does the adoption of new technology boost productive efficiency in the public sector? The case of ICUs system

Tsekouras, Kostas; Papathanassopoulos, Fotis; Κουνετάς, Κωνσταντίνος; Pappous, Giorgos

doi:10.1016/j.ijpe.2010.07.041

Cited by 36 publications

(20 citation statements)

References 23 publications

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“…al., 2002;Hollingsworth, 2003;O'Neill et al, 2008;Garcia-Lacalle and Martin, 2010;Rosko and Mutter, 2011 and references cited therein), there are only a handful of studies that focus on identifying the determinants of hospital efficiency (e.g., Grosskopf et al, 2004;Lee et al, 2008;Blank and Valdmanis, 2010;Tsekouras et al, 2010;Cristian and Fannin, 2013;Ding, 2014). Table 1 briefly summarizes some of these studies.…”

Section: Related Workmentioning

confidence: 99%

Performance of hospital services in Ontario: DEA with truncated regression approach

Chowdhury

Zelenyuk

2016

Omega

124

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In this work, we analyze production performance of hospital services in Ontario (Canada), by investigating its key determinants. Using data for the years 2003 and 2006, we follow the two-stage approach of Simar and Wilson (2007). Specifically, we use Data Envelopment Analysis (DEA) at the first stage to estimate efficiency scores and then use truncated regression estimation with doublebootstrap to test the significance of explanatory variables. We also examine distributions of 2 efficiency across geographic locations, size and teaching status. We find that several organizational factors such as occupancy rate, rate of unit-producing personnel, outpatient-inpatient ratio, case-mix index, geographic locations, size and teaching status are significant determinants of efficiency.

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Section: Related Workmentioning

confidence: 99%

Performance of hospital services in Ontario: DEA with truncated regression approach

Chowdhury

Zelenyuk

2016

Omega

124

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“…However, the DEA ignores statistical issues such as inference, hypothesis testing, etc. Fortunately, the statistical properties of the DEA estimators have been established by Simar and Wilson [35,36], whose wonderful process has been applied by a number of researchers in many fields [37]. Another important advantage of using the DEA for farmer households' data is that by virtue of the collective forestland tenure reform being exogenous at the farmer household level, the DEA approach sidesteps endogeneity issues that may be manifest at the regional and national levels of analysis.…”

Section: Farmer Household Efficiency: a Bootstrapped Dea Approachmentioning

confidence: 99%

The Impact of Collective Forestland Tenure Reform on the Forest Economic Efficiency of Farmers in Zhejiang Province

Liu

Sun

2019

Sustainability

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The impact of collective forestland tenure reform on farmers’ economic efficiency in the collective forest areas was assessed. Both technical efficiency and scale efficiency of farmer households were calculated using the output-oriented bootstrapped data envelopment analysis (DEA) approach along with a household efficiency model that incorporates the survey data from 243 farmer households. The DEA results show that a substantial economic inefficiency for farmers exists, which renders a high prospect of improving economic efficiency. The findings from the empirical regression of the data also show that the collective forestland tenure reform is quite beneficial for the farmer households, particularly for those with distinguished commercial forest types. The tenure reform has a very influential impact on the efficiency of the farmers managing timber forests and bamboo forests, and so do the policies of reform for forestland circulation, forest-cutting quotas, forestland loan, and technical training. However, the cooperation arrangement currently is still not strong enough to influence economic efficiency. Based on the regression findings, together with the survey, a number of policy suggestions are put forward to the policy makers for improving economic efficiencies for international communities in the process of forestland tenure devolution.

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“…These are sometimes represented by new technological innovations in diagnosis and treatment, and therefore in high-quality services, but such progress also comes at a cost. Unfortunately, the evidence reveals that although the technical efficiency has benefited from the embodiment of the new medical technology, the scale efficiency remains unaffected (Tsekourasa et al, 2010).…”

Section: H1 the Romanian Healthcare System Is Efficientmentioning

confidence: 99%

Performance Through Efficiency in the Public Healthcare System – A DEA Approach in an Emergent Country

Nistor

Ştefănescu

Crișan

2017

Studia Universitatis Babes-Bolyai Oeconomica

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Abstract. Aiming to analyze the efficiency of the public sector, this paper enriches the literature by providing insights of the healthcare system for an emergent countryRomania. The empirical findings reached by applying the input orientated-variable return to scale (VRS) model of Data Envelopment Analysis (DEA) and Tobit regression method are determined on two key levels of the study. The Data Envelopment Analysis technique quantifies the efficiency within 20 representative hospitals located in the four administrative macro-regions, highlighting the ways of increasing efficiency, while the Tobit regression identifies the factors that influence the efficiency level. The results of the investigation allow for comparisons with other emerging countries, as efficiency has become an increasingly significant factor for public sector evolution. JEL classification: H41, I18, M40

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Does the adoption of new technology boost productive efficiency in the public sector? The case of ICUs system

Cited by 36 publications

References 23 publications

Performance of hospital services in Ontario: DEA with truncated regression approach

Performance of hospital services in Ontario: DEA with truncated regression approach

The Impact of Collective Forestland Tenure Reform on the Forest Economic Efficiency of Farmers in Zhejiang Province

Performance Through Efficiency in the Public Healthcare System – A DEA Approach in an Emergent Country

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