A two-stage performance assessment of utility-scale wind farms in Texas using data envelopment analysis and Tobit models

Sağlam, Ümit

doi:10.1016/j.jclepro.2018.08.034

Cited by 59 publications

(22 citation statements)

References 19 publications

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“…Since the efficiency value is a censored dependent variable, in this study, we implemented Tobit regression model (Tobin, 1958) [44] to test the results validity. The Tobit regression model is widely adopted in academic circle to overcome the shortage of common method when the dependent variables are partially continuous or partially discrete that may lead to deviation and inconsistency of the parameter estimators [45].…”

Section: Robustness Testmentioning

confidence: 99%

The Impact of Environmental Regulations on Green Economic Efficiency – Evidence from Beijing-Tianjin-Hebei Urban Agglomeration

Li¹,

He²,

Niu³

et al. 2021

Pol. J. Environ. Stud.

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Environmental regulation is an important factor affecting the green economic efficiency. The purpose of this study is to find out the relationship between environmental regulation and green economic efficiency in Beijing-Tianjin-Hebei urban agglomeration. A framework was constructed in the first to illustrate the necessity of green economic efficiency and explore the mechanism of environmental regulation. Then, we measured the intensity of environmental regulation and green economic efficiency of Beijing-Tianjin-Hebei urban agglomeration through super efficiency SBM model and empirically examined the impact of environmental regulation on green economic efficiency by adopting the panel regression model. The results show that the level of environmental regulation and green economic efficiency in Beijing-Tianjin-Hebei have been constantly improved in 2008-2017. The relationship between environmental regulation and green economic efficiency shows an inverted "U-shaped" curve. So far, the intensity of environmental regulation of all cities in Beijing-Tianjin-Hebei are on the left side of the curve, demonstrating that the enhancement of environmental regulation will promote regional green economic efficiency. Government support has a positive impact on regional green economic efficiency, while regional fixed asset investment has a negative impact. At last, we put

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Section: Robustness Testmentioning

confidence: 99%

The Impact of Environmental Regulations on Green Economic Efficiency – Evidence from Beijing-Tianjin-Hebei Urban Agglomeration

Li¹,

He²,

Niu³

et al. 2021

Pol. J. Environ. Stud.

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“…Since then, many scholars have adopted it to analyze the influencing factors when the dependent variable is greater than 0 and continuous distribution, for instance, Xingbai Xu, Gong Qi etc. [16–18]. The dependent variable of this paper is the TFP value, which is significantly greater than 0, so the Tobit model is devoted to analyze the influencing factors of the invisible service efficiency of PHCI before and after reform.…”

Section: Introductionmentioning

confidence: 99%

The impact of policy on the intangible service efficiency of the primary health care institution- based on China’s health care reform policy in 2009

Leng

Liu

Nan-zi

et al. 2019

Int J Equity Health

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ObjectivesAnalyzing the impact of the China’s health care reform policy in 2009 on the intangible service efficiency of PHCI and exploring the way to improve the service efficiency of PHCI.MethodsThe Malmquist productivity index based on the Data Envelopment Analysis (DEA) was used to measure the variation of TFP and its decomposition of PHCI before and after the implementation of the health care reform policy in 2009. Then, the Tobit model was applied to estimate the key factors affecting the improvement of the intangible service efficiency of PHCI.ResultsThe number of health resources and the intangible service efficiency of PHCI have increased obviously since the implementation of the China’s health care reform. The growth of intangible service efficiency of PHCI was mainly affected by the technical progress, but the management level and scale efficiency change have not yet played an important role.ConclusionsThe growth of intangible service efficiency in China’s PHCI still belongs to input growth rather than efficiency growth. In the future, the technical progress and improvement in the management level are the key measures to promote the intangible service efficiency of PHCI.

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“…It should be noted that the series two-stage DEA model is wholly different from the two-stage DEA approach used to regress the produced efficiency scores on control variables not included in the DEA assessment [32]. For the two-stage DEA applications, the reader is referred to the recent works by Wu et al [33] and Saglam [34,35].…”

Section: Survey On Dea Approaches For Infrastructure Project Evaluationmentioning

confidence: 99%

Benchmarking Engineering, Procurement and Construction (EPC) Power Plant Projects by Means of Series Two-Stage DEA

Tsolas

2020

Electricity

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A lot of companies in the power sector use Engineering, Procurement, and Construction (EPC) contracts for complex infrastructure projects such as power plants. This paper presents a series two-stage data envelopment analysis (DEA) approach for the ex ante benchmarking of EPC power plant projects. The current study aims to improve over single-stage DEA and evaluate the efficiency of a group of twelve domestic (located in Greece) and international natural gas-fired power plant projects of different technologies (combined cycle power plant (CCPP) projects with single and multi-shaft configuration, and open cycle power plant (OCPP) projects) by employing a series two-stage DEA model. In the first stage, performance of the EPC mode is evaluated, whereas in the second stage the plant annual operational efficiency is assessed. In the light of the results, there is a lower level of performance in the EPC mode than in operating efficiency. The OCPP projects have the best operating efficiency, whereas they are ranked in-between the CCPP projects with single and multi-shaft configuration in EPC mode performance.

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A two-stage performance assessment of utility-scale wind farms in Texas using data envelopment analysis and Tobit models

Cited by 59 publications

References 19 publications

The Impact of Environmental Regulations on Green Economic Efficiency – Evidence from Beijing-Tianjin-Hebei Urban Agglomeration

The Impact of Environmental Regulations on Green Economic Efficiency – Evidence from Beijing-Tianjin-Hebei Urban Agglomeration

The impact of policy on the intangible service efficiency of the primary health care institution- based on China’s health care reform policy in 2009

Benchmarking Engineering, Procurement and Construction (EPC) Power Plant Projects by Means of Series Two-Stage DEA

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