Investigating the efficiency of greenhouse production in Oman: A two-stage approach based on Data Envelopment Analysis and double bootstrapping

Al-Mezeini, Nawal K.; Oukil, Amar; Al-Ismaili, Abdulrahim M.

doi:10.1016/j.jclepro.2019.119160

Cited by 28 publications

(10 citation statements)

References 37 publications

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“…Data Envelopment Analysis (DEA) is a nonparametric efficiency estimation technique developed by [28], which is considered to be the most important method for allocating resources and measuring the relative efficiency of DMUs [10,29,30]. This technique has the potential to predict resource usage and relative efficiency of DMUs based on their performance.…”

Section: Introductionmentioning

confidence: 99%

“…This technique has the potential to predict resource usage and relative efficiency of DMUs based on their performance. It also has the advantage of measuring the efficiency of multiple inputs and/or outputs using linear programming for aggregating different environmental impacts to construct a comprehensive eco-efficiency indicator [27,[29][30][31]. DEA is a common tool for evaluating the agricultural sector and helping to identify how effectively a farmer can produce a certain level of output by applying to other farmers the levels of available input resources [3,30,10].…”

Section: Introductionmentioning

confidence: 99%

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Eco-Efficiency in Farm Management for Sustainable Agriculture: a Two-Stage Data Envelopment Analysis in Wheat Production

Güney¹

2021

Pol. J. Environ. Stud.

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Program (MAP) introduced the "miracle wheat" in 1954 and spread throughout Asia and Africa in the 1950s and 1960s, and the reform continued with other crops like rice and maize [1,2].The reform has increased agricultural production with the use of new technologies, water management practices, mechanization and inorganic chemicals, and made it possible for farmers to produce more agricultural products at lower costs. However, agrochemical input and natural resource intensification generate the pressure of agriculture on natural resources such as soil

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Eco-Efficiency in Farm Management for Sustainable Agriculture: a Two-Stage Data Envelopment Analysis in Wheat Production

Güney¹

2021

Pol. J. Environ. Stud.

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“…As a result, internal processes are usually overlooked. To address this issue, the above mentioned two-stage DEA has been applied to make undesirable intermediate measures of coal consumption [11] explore the impacts of energy consumption on the environment [12] and investigate the efficiency of greenhouse production [13]. Furthermore, taking air pollution as an example, it is admitted that there some undesirable intermediate outputs in energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Global Energy Consumption Analysis Based on the Three-Dimensional Network Model

et al. 2020

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To comprehensively assess global sustainable energy consumption from the perspectives of economic development and environmental conservation, we propose a multidimensional structure that includes two-dimensional and three-dimensional networks. Based on the proposed methods, we empirically investigate 35 countries of the International Energy Agency. It is found that: 1) Regarding economic income, Asia ranks first, followed by America, Oceania, Europe and Africa. 2) As for sustainable development, the best-performing region is Asia, followed by Africa and Europe, Oceania and America. 3) The regions with greater development potential in energy consumption are America, Oceania, Africa and Europe, while Asia is less efficient. In consideration of the above findings, we give some recommendations for different regions to improve their energy consumption efficiency, such as countries in Asia can focus on innovative high-tech industries while countries in Europe can enhance economic vitality with market integration.

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“…This shortcoming might be overcome by various theoretical extensions to classical DEA such as Shannon's entropy, [ 21 ] SBM‐DEA model with weighting preference, [ 22 ] and slacked‐based DEA model. [ 23,24 ]…”

Section: Introductionmentioning

confidence: 99%

“…This shortcoming might be overcome by various theoretical extensions to classical DEA such as Shannon's entropy, [21] SBM-DEA model with weighting preference, [22] and slacked-based DEA model. [23,24] In this paper, we are reporting a newer computational approach for optimization of reaction parameters of graft copolymerization of butyl acrylate (BA) onto xyloglucan (Xg). In realtime experiments, grafting of BA with Xg was carried out using water as reaction medium and a redox agent as initiator.…”

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confidence: 99%

Data Envelopment Analysis and Decision Maker Models: An Innovative Approach for Optimization of Reaction Variables of Graft Copolymerization of Poly(butyl acrylate) to Tamarind Seed Xyloglucan

Yadav

Malhotra

Mishra

2020

Macro Theory & Simulations

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This article presents a novel methodology using a combination of nonparametric frontier analysis models, data envelopment analysis (DEA), and decision maker (DM) model to optimize real-time reaction variables, that is, concentration of butyl acrylate, time duration of the reaction, and temperature for precision synthesis of poly(butyl acrylate) (PBA) and xyloglucan (tamarind seed polysaccharide) graft copolymers.The copolymer samples (units) obtained by a different set of reaction variables and conditions are ranked using DEA to identify the efficient units. An appropriate minimum weight restriction is imposed by the DM on the chosen inputs and output by linear programming models that are designed in such a way that each DEA efficient unit can get "maximin" weight. The model predictions for reaction parameters and experimental data obtained are found to be very close to each other.

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Investigating the efficiency of greenhouse production in Oman: A two-stage approach based on Data Envelopment Analysis and double bootstrapping

Cited by 28 publications

References 37 publications

Eco-Efficiency in Farm Management for Sustainable Agriculture: a Two-Stage Data Envelopment Analysis in Wheat Production

Eco-Efficiency in Farm Management for Sustainable Agriculture: a Two-Stage Data Envelopment Analysis in Wheat Production

Global Energy Consumption Analysis Based on the Three-Dimensional Network Model

Data Envelopment Analysis and Decision Maker Models: An Innovative Approach for Optimization of Reaction Variables of Graft Copolymerization of Poly(butyl acrylate) to Tamarind Seed Xyloglucan

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