Clean development mechanism in Iran: does it need a revival?

Alizadeh, Reza; Majidpour, Mehdi; Maknoon, Reza; Kaleibari, Saeed Shafiei

doi:10.1504/ijgw.2016.077913

Cited by 21 publications

(11 citation statements)

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“…Furthermore, many other studies on the impacts of environmental pollution (Abolghasemi, et al, 2014;Alizadeh, Khodaee, et al, 2016;Reza Alizadeh, et al, 2015;Amirteimoori, et al, 2018;Beynaghi, et al, 2019;Essid, et al, 2018;Sadaghiani, et al, 2014;Soltanisehat, et al, 2019;Zamani Sabzi, et al, 2018), sustainability performance (M.-Q. , cost-effectiveness (Alizadeh, Majidpour, et al, 2016;Azadi, et al, 2015;Badiezadeh, et al, 2018;Luthra, et al, 2017;X. Zhou, et al, 2016), resource efficiency (Bai, et al, 2019;Cagliano, et al, 2017;Halkos, et al, 2019;Kiani Mavi, et al, 2019;Xiaohong Liu, et al, 2019;Ross, et al, 2010;Soltanisehat, et al, 2020;Zhang, et al, 2019;, and eco-efficiency (Alizadeh, et al, 2014;Bang, et al, 2019;Ezici, et al, 2020;Hu, et al, 2019;Xiuli Liu, et al, 2019;Mavi, et al, 2019;Shao, et al, 2019;Torres-Ruiz, et al, 2019;Wang, et al, 2019;Yu, et al, 2019;Zhu, et al, 2019), which only have focused on a limited set of energy sources in their analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy production efficiency assessment using network data envelopment analysis

Beiragh¹,

Alizadeh²,

Beiragh³

et al. 2021

Preprint

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The performance of an energy generation system depends on three sectors of generation, transmission, and distribution. Especially when the power generation system has a decentralized structure in which different companies have different types of power plants, transmission, and distribution architectures. In this study, a network data envelopment analysis (NDEA) model is extended to assess the energy generation system's performance considering all three sectors of the regional electricity companies. There is a gap in the published DEA literature on energy network efficiency in studying the function of individual processes of these subsystems. After identifying the companies' structure, inputs, and outputs for all sectors, the extended NDEA model is implemented to estimate the efficiency of the whole energy generation network including production, transfer, and circulation sectors of the firms. The proposed model's network-based features allow computing the efficiency of individual subsystems and the whole system simultaneously. Iran’s energy generation system, including all three sectors during 2015–2019, is used to verify the model. The results indicate that while the annual average efficiency score of electricity companies has been increasing by 2018, it was decreased during 2018–2019. The model can be easily applied to energy generation systems in other countries.

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Section: Literature Reviewmentioning

confidence: 99%

Energy production efficiency assessment using network data envelopment analysis

Beiragh¹,

Alizadeh²,

Beiragh³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Another group of studies have somewhat concentrated on corporate social responsibility inside a certain industry, like financial and banking services [34], renewable energy [32], or supply chain [36,37]. Some studies investigated the sustainability performance of the energy sector for long-term time horizons [38][39][40][41][42]. Some of the papers studied the relationship between an enterprise's environmental and economic performance [35,[43][44][45] or the influence of stakeholders as part of the social dimension [46,47].…”

Section: Literature Reviewmentioning

confidence: 99%

An integrated Multi-Criteria Decision Making Model for Sustainability Performance Assessment for Insurance Companies

et al. 2020

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To stay competitive in a business environment, continuous performance evaluation based on the triple bottom line standard of sustainability is necessary. There is a gap in addressing the computational expense caused by increased decision units due to increasing the performance evaluation indices to more accuracy in the evaluation. We successfully addressed these two gaps through (1) using principal component analysis (PCA) to cut the number of evaluation indices, and (2) since PCA itself has the problem of merely using the data distribution without considering the domain-related knowledge, we utilized Analytic Hierarchy Process (AHP) to rank the indices through the expert’s domain-related knowledge. We propose an integrated approach for sustainability performance assessment in qualitative and quantitative perspectives. Fourteen insurance companies were evaluated using eight economic, three environmental, and four social indices. The indices were ranked by expert judgment though an analytical hierarchy process as subjective weighting, and then principal component analysis as objective weighting was used to reduce the number of indices. The obtained principal components were then used as variables in the data envelopment analysis model. So, subjective and objective evaluations were integrated. Finally, for validating the results, Spearman and Kendall’s Tau correlation tests were used. The results show that Dana, Razi, and Dey had the best sustainability performance.

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“…These results also were obtained by Lingo Software according to Eq. (8). As can be seen in Table 6, even for most e cient units, increasing outputs and/or decreasing inputs according to s+ and s values should be taken into account since these units are not quite e cient.…”

Section: Name Of Dmusmentioning

confidence: 99%

“…They demonstrated that ownership, plant size, and fuel type have a signi cant e ect on technical e ciency. Alizadeh et al [8] analyzed Iran's contribution in energy e ciency and the environmentally friendly projects supported by United Nations. Jarait_ e and Di Maria [9] used DEA model to measure environmental e ciency and productivity for enhancing the performance of the overall EU electricity production in Europe during 1996 to 2007.…”

Section: Introductionmentioning

confidence: 99%

A framework for performance evaluation of energy supply chain by a compatible Network Data Envelopment Analysis model

et al. 2016

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Inadequate supply of energy has become one of the major problems in societies due to consumers' increasing demand. Economic growth is a key reason for the increase in the energy consumption. Although di erent policies can be employed for resolving this problem, optimizing the e ciency of energy suppliers can be addressed as a key policy in this regard. This paper presents an adjusted Network Data Envelopment Analysis (NDEA) model for evaluating performance of energy supply chain in Iran from production to distribution stages. Some suggestions have been proposed to optimize the performance of the energy supply chain. The NDEA model is adjusted by using Assurance Region (AR) to achieve more realistic and scienti c results. Borders of the assurance region obtained from Data Envelopment Analytic Hierarchy Process (DEAHP) method are entered into the NDEA model. The results obtained from this model are compared with those of conventional NDEA and technical e ciency in pairs. Finally, the Spearman and Kendall's-Tau correlation tests are used for validating the results.

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Clean development mechanism in Iran: does it need a revival?

Cited by 21 publications

References 0 publications

Energy production efficiency assessment using network data envelopment analysis

Energy production efficiency assessment using network data envelopment analysis

An integrated Multi-Criteria Decision Making Model for Sustainability Performance Assessment for Insurance Companies

A framework for performance evaluation of energy supply chain by a compatible Network Data Envelopment Analysis model

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