Factor-specific Malmquist productivity index based on common weights DEA

Yang, Bojiang; Zhang, Youliang; Zhang, Hongjun; Zhang, Rui; Xu, Baoqiang

doi:10.1007/s12351-015-0185-x

Cited by 14 publications

(6 citation statements)

References 35 publications

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“…Recently, Salahi et al (2016) suggested a robust counterpart model for the envelopment form of CCR, and introduced relations between dual of this model and robust counterpart of multiplier form of CCR. Yang et al (2016) conducted a case study of Taiwan forests after reorganization. For that reason, they constructed a DEA-based common weight decision aid for calculating the change of efficiency scores of a DMU at different time periods.…”

Section: Literature Reviewmentioning

confidence: 99%

Improved Common Weight Dea-Based Decision Approach for Economic and Financial Performance Assessment

Karsak

Göker

2019

Technological and Economic Development of Economy

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Economic and financial performance assessment possesses an important role for efficient usage of available resources. In this study, a novel common weight multiple criteria decision making (MCDM) approach based on data envelopment analysis (DEA) is presented to identify the best performing decision making unit (DMU) accounting for multiple inputs as well as multiple outputs. The robustness of the developed model, which provides a rank-order with enhanced discriminatory characteristics and improved weight dispersion, is illustrated by two case studies that aim to provide economic and financial performance assessment. The first study presents an evaluation of Morgan Stanley Capital International emerging markets, whereas the second case study ranks the Turkish deposit banks using the proposed methodology as well as providing a comparative evaluation with several other approaches addressed in earlier works. The results indicate that the introduced approach guarantees to identify the best performing DMU without including a discriminating parameter requiring an arbitrary step size value in model formulation while also achieving an improved weight dispersion for inputs and outputs.

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Section: Literature Reviewmentioning

confidence: 99%

Improved Common Weight Dea-Based Decision Approach for Economic and Financial Performance Assessment

Karsak

Göker

2019

Technological and Economic Development of Economy

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“…At present, some scholars have carried out research in the field of the comprehensive evaluation of a low-carbon grid. Carbon emission is taken into consideration for grid planning through the method of super-efficiency data envelopment analysis (SE-DEA) [11]. Existing studies with a particular focus on the Chinese context include, but are not limited to, the following: Tan Wei Existing environmental impact accounting tools such as ecological designs, cleaner production audits, and ISO14001 are mostly principle-based regulations lacking specificity for different industries that have not been widely promoted.…”

Section: Introductionmentioning

confidence: 99%

Efficiency versus System Synergism: An Advanced Life Cycle Assessment for a Novel Decarbonized Grid System Innovation

et al. 2022

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The power sector plays a significant role in carbon neutrality strategies, and the grid system is a crucial part of the power sector. In particular, with less mitigation potential from technology efficiency, the credit from whole life cycles is critical. This paper describes the investigation of the environmental impacts of various scenarios from the perspective of life cycles. By using the life cycle assessment (LCA) method, various grid systems are examined as a case study, including a traditional, renewable energy, and power storage grid system, as well as a microgrid, in Guangdong. The results highlight the fact that with the systematic improvement of a grid, significant environmental benefits can be achieved. For a grid system, optimization through technology has significant carbon reduction effects even if the power grid structure is not changed. Using renewable energy instead of traditional fuel can reduce the emission of 0.05 kg of CO2-equivalent greenhouse gas per 1 kWh of electricity produced, which is 7.9% of the baseline, and microgrid technology leads to a much greater carbon reduction potential of 23.8% of the baseline. The role of energy storage is undervalued due to the limitations of the data.

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“…The non-parametric approach concentrates on the regularity assumptions of the production possibility set [54]. Data envelopment analysis (DEA) is a methodology extensively applied in measuring the relative efficiency of decision-making units with multiple inputs and outputs [55,56]. The free disposal hull (FDH) is an alternative deterministic, non-parametric model developed for the evaluation of productive efficiency.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Natural and Economic Factors on the Financial Performance of Forest Management Units: The Example of Forest Districts of the State Forests National Forest Holding from Eastern Poland

Kożuch

Marzęda²

2021

Forests

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Given the changing market conditions and uncertainty arising from climate change, forest management tends to focus on the financial functioning of forest holdings. The objective of this work is to study the financial performance of forest districts using ratio analysis, synthetic financial indicators, as well as the relationship between synthetic indicators and forest district categories defined in terms of forest site type, site fertility, compatibility stand species composition, species composition, harvesting system, harvesting intensity, fragmentation of forest complexes and management difficulty level. The study material consists of financial documentation from 82 forest districts of the State Forests National Forest Holding (SFNFH) in eastern Poland from the years 2015–2019 and 2005–2009 (for comparison purposes). Synthetic indicators were calculated using two sets of financial ratios as well as two variants of accounting data. In the study period, forest districts were found to differ in terms of their financial performance, which was affected by the natural and economic factors. The synthetic indicators were significantly higher (p > 0.05) for forest districts operating on low-fertility lowland sites, those managing stands with dominant pine, and those implementing a clearcutting regeneration system. The findings concerning the effects of selected natural and economic factors on the financial condition of forest districts may be used for financial planning and management by SFNFH, in particular in decision-making processes to optimize forest management. The applied methods may stand as a basis for the construction of a sectoral evaluation tool.

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Factor-specific Malmquist productivity index based on common weights DEA

Cited by 14 publications

References 35 publications

Improved Common Weight Dea-Based Decision Approach for Economic and Financial Performance Assessment

Improved Common Weight Dea-Based Decision Approach for Economic and Financial Performance Assessment

Efficiency versus System Synergism: An Advanced Life Cycle Assessment for a Novel Decarbonized Grid System Innovation

The Effects of Natural and Economic Factors on the Financial Performance of Forest Management Units: The Example of Forest Districts of the State Forests National Forest Holding from Eastern Poland

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