Stochastic p-robust approach to two-stage network DEA model

Shakouri, Rita; Salahi, Maziar; Kordrostami, Sohrab

doi:10.3934/qfe.2019.2.315

Cited by 23 publications

(15 citation statements)

References 40 publications

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“…This is because that the supererogation of industrial structure as a transmission channel disperses a part of the direct effect of urban clusters. The estimated results of columns (9) and (10) illustrate a similar phenomenon. Notes: The sample size (no.…”

Section: Industrial Structure Restructuring Effectsupporting

confidence: 59%

“…In this equation, only if ln IC ≥ −6.94 (IC ≥ 0.001) may technology diffusion affect the UTENVP positively, and the higher the level of urban clusters, the stronger its promotion effect on environmental friendliness. Columns (8) and (9) report the grouped estimation results on the basis of the clustering level, wherein we noticed that the coefficient of the interaction term is not statistically significant when the clustering level is below 50%; correspondingly, the coefficient of the interaction term is significantly positive when the clustering level exceeds 50%. Meanwhile, the coefficient of the latter is greater than the estimated coefficient of the full sample, and the coefficient of ln TECH is also significantly positive.…”

Section: Technology Innovation and Diffusion Effectmentioning

confidence: 99%

“…Therefore, in this paper, urban total-factor ecological performance is the measure of economic output used with respect to resource input and ecological environment cost in the cities. Data envelopment analysis (DEA) has been widely used to measure the efficiency of resources and the environment, and researchers are further promoting the expansion and application of this method [8,9]. However, to measure the total-factor ecological performance more accurately, we need to consider several issues such as technical heterogeneity [10], slack-based measure [11], and the problem of "technical regress" [12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

“Resource Conservation” or “Environmental Friendliness”: How do Urban Clusters Affect Total-Factor Ecological Performance in China?

Chen

Xie

2020

IJERPH

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Urban clusters are important carriers for cities to participate in international competition and cooperation, and a booster for urban sustainable development. This study measured the degree of urban clusters by utilizing the panel data of 278 cities in China during 2004–2016. Then, an extended meta-frontier data envelopment analysis (EM-DEA) model was applied to estimate the total-factor ecological performance (UTEP) and decompose it into two sub-index from the perspective of “resource conservation” and “environmental friendliness”. On these bases, we employed a dynamic panel data approach to examine and demonstrate the relationship between urban cluster and UTEP in two dimensions, and further explored transmission channels of urban clusters on UTEP by adding the mediating effect. The results show that resource conservation increases first and then decreases with the increasing of urban clustering level, while environmental friendliness showed the opposite trend, making the latter become the main way for urban clusters to improve the UTEP. Industrial structure supererogation and rationalization are transmission channels for environmental friendliness rather than resource conservation in the way of improvement of UTEP. Technology innovation, as well as technology diffusion, also improves UTEP to some extent. In addition, urban clusters in eastern and central China have the greatest improvement in UTEP, while such effects are not the case in western China. Urban clusters in the second half sample period are more conducive to the improvement of the UTEP, with these potentially being the gains from the improvement of the level and quality of urban clusters.

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Section: Industrial Structure Restructuring Effectsupporting

confidence: 59%

Section: Technology Innovation and Diffusion Effectmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

“Resource Conservation” or “Environmental Friendliness”: How do Urban Clusters Affect Total-Factor Ecological Performance in China?

Chen

Xie

2020

IJERPH

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“…This paper adopts the DEA (Data Envelopment Analysis) model based on super SBM-GML to study the green land utilization efficiency. The DEA was put forward in 1978 to assess the relative efficiency of a multi-input and output decision-making unit group [42][43][44][45][46]. Tonerespectively proposed the new DEA model called "SBM" in 2001 and the upgraded model called "super-efficiency SBM" in 2002, which can not only consider the slack variable but also classify the decision-making units with efficiency value over 1 [47,48].…”

Section: Variable Description and Data Source 231 Variable Description And Processingmentioning

confidence: 99%

Spatio-Temporal Evolution Characteristics and Spatial Interaction Spillover Effects of New-Urbanization and Green Land Utilization Efficiency

Wang

Yang

2021

Land

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In the context of vigorously promoting new-urbanization, effectively improving the green use efficiency of urban land is an inevitable requirement to achieve high-quality economic and social development. Based on the panel data from 2011 to 2018 of 297 prefecture-level and above cities in China, this paper uses the entropy weight method and the super-efficient SBM-GML model to estimate the spatio-temporal evolution characteristics of new-urbanization and urban green land utilization efficiency. Then, the spatial simultaneous-equation and the generalized spatial three-stage least square method (GS3SLS) are employed to empirically investigate the spatial interaction spillover effects between the new-urbanization and the green land utilization efficiency. The results indicate that: (1) The level of new-urbanization and the green land utilization efficiency in Chinese cities have common and complex temporal and spatial dynamic evolution characteristics. (2) There are mutual inhibition effects between new-urbanization and green land utilization efficiency, and the level of new-urbanization is in a comparatively leading role. (3) Both the level of new-urbanization and green land utilization efficiency have obvious spatial spillover effects. (4) The level of new-urbanization of surrounding regions promotes the green land utilization efficiency of local regions, and the improvement of the green land utilization efficiency of surrounding regions also promotes the level of new-urbanization of local regions. As environmental pressure increasingly becomes a constraint on urban development, these findings are helpful to clarify the regional relationship between urban construction and green development and promote the harmonious development of new-urbanization and green land utilization efficiency.

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“…Note that, the RDEA to the ellipsoidal uncertainty set is practically tractable and convenient to handle with nonlinear solvers (such as Gurobi, MOSEK, BARON) and any efficient optimization software (seeSadjadi and Omrani 2008;Wu et al 2017;Shakouri et al 2019).…”

mentioning

confidence: 99%

Robust data envelopment analysis via ellipsoidal uncertainty sets with application to the Italian banking industry

Mensah

2020

Decisions Econ Finan

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This paper extends the conventional DEA models to a robust DEA (RDEA) framework by proposing new models for evaluating the efficiency of a set of homogeneous decision-making units (DMUs) under ellipsoidal uncertainty sets. Four main contributions are made: (1) we propose new RDEA models based on two uncertainty sets: an ellipsoidal set that models unbounded and correlated uncertainties and an interval-based ellipsoidal uncertainty set that models bounded and correlated uncertainties, and study the relationship between the RDEA models of these two sets, (2) we provide a robust classification scheme where DMUs can be classified into fully robust efficient, partially robust efficient and robust inefficient, (3) the proposed models are extended to the additive DEA model and its efficacy is analyzed with two imprecise additive DEA models in the literature, and finally, (4) we apply the proposed models to study the performance of banks in the Italian banking industry. We show that few banks which were resilient in their performance can be robustly classified as partially efficient or fully efficient in an uncertain environment.

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Stochastic p-robust approach to two-stage network DEA model

Cited by 23 publications

References 40 publications

“Resource Conservation” or “Environmental Friendliness”: How do Urban Clusters Affect Total-Factor Ecological Performance in China?

“Resource Conservation” or “Environmental Friendliness”: How do Urban Clusters Affect Total-Factor Ecological Performance in China?

Spatio-Temporal Evolution Characteristics and Spatial Interaction Spillover Effects of New-Urbanization and Green Land Utilization Efficiency

Robust data envelopment analysis via ellipsoidal uncertainty sets with application to the Italian banking industry

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