A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies

Yu, Min-Chun; Wang, Chia–Nan; Ho, Nguyen-Nhu-Y

doi:10.20944/preprints201608.0204.v1

Cited by 14 publications

(1 citation statement)

References 28 publications

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“…Tang et al applied the grey model GM (1, 1) to forecast carbon emissions, and the results showed that carbon emissions will rise in Jiangsu Province over the period 2015-2020; therefore, a prompt improvement plan is considered carefully to minimize future carbon emissions [27]. Grey forecasting model was employed to forecast future indicators in logistic companies by Yu et al and the empirical results found problems and suggested solutions to enhance competitiveness relative to rivals in global economic uncertainty [28]. Data Envelopment Analysis (DEA) is an approach to evaluate efficiencies of Decision Making Units (DMUs); it has the function to convert multiple inputs into multiple outputs [29].…”

Section: Literature Reviewmentioning

confidence: 99%

The Integrated Approach for Sustainable Performance Evaluation in Value Chain of Vietnam Textile and Apparel Industry

Wang

2017

Sustainability

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Abstract:The impressive growth of the Vietnam textile and apparel industry has led to some concerns due to its insufficient value chain and fierce competition within the industry. Thus, performance evaluation is significant issue to estimate the values of companies over time. Firstly, the grey prediction is used to forecast future data for 20 largest enterprises in six years (2016-2021) based on actual indicators. Then, the paper uses Malmquist productivity index and its decomposition into efficiency and technical change to measure the past productivity growth. Finally, window analysis is applied to significantly detect the trends of performance in 12 years (2010-2021) from large number of inputs and outputs. The results are found that how technology changes is the determinant for productivity growth and undeveloped technology causes a huge barrier to industry. In addition, the results are illustrated that textile companies are predicted to be more stable due to the importance of supplying materials for the entire industry. This paper aims to prove in-depth analysis can be conducted through combined models and also provide some recommendations for enhancing the sustainability performance of the industry.

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Section: Literature Reviewmentioning

confidence: 99%

The Integrated Approach for Sustainable Performance Evaluation in Value Chain of Vietnam Textile and Apparel Industry

Wang

2017

Sustainability

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Environmental Assessment of European Union Countries

Hsieh

Liu

et al. 2019

Energies

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This study utilizes the dynamic data envelopment analysis (DEA) model by considering time to measure the energy environmental efficiency of 28 countries in the European Union (EU) during the period 2006–2013. There are three kinds of variables: input, output, and carry-over. The inputs are labor, capital, and energy consumption (EC). The undesirable outputs are greenhouse gas emissions (GHE) and sulfur oxide (SOx) emissions, and the desirable output variable is gross domestic product (GDP). The carry-over variable is gross capital formation (GCF). The empirical results show that first the dynamic DEA model can measure environment efficiency and provide optimum improvement for inefficient countries, as more than half of the EU countries should improve their environmental efficiency. Second, the average overall scores of the EU countries point out that the better period of performance is from 2009 to 2012. Third, the output variables of GHE, SOx, and GDP exhibit a significant impact on environmental efficiency. Finally, the average value of others is significantly better than high renewable energy utilization (HRE) with the Wilcoxon test. Thus, the EU’s strategy for environmental energy improvement should be to pay attention to the benefits of renewable energy (RE) utilization, reducing greenhouse gas emissions (GHE), and enhancing the development of RE utilization to help achieve the goal of lower GHE.

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Logistics Services Sector and Economic Recession in Greece: Challenges and Opportunities

2018

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Abstract:The recent economic recession in Greece has had a detrimental impact on all national business activities, with the logistics industry being one of the most affected sectors primarily due to the significant decrease in market demand for goods and services. In this regard, the aim of this research is to identify key challenges and prospects for the Greek logistics services industry stemming from the recent economic crisis era through a critical literature taxonomy, a semantic analysis of the reviewed articles, and a questionnaire-based survey involving 140 executives from the third-party logistics sector. In principal, the recent economic crisis is reported to have significantly affected logistics service providers, thus further imposing structural reforms in the industry. The reduction in operating profits of transport companies is noticeable with the onset of the economic crisis, specifically in 2016. Nevertheless, logistics executives are optimistic regarding the near future, provided that educated and informed strategic management decisions are made and inventive business practices are embraced.

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A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies

Cited by 14 publications

References 28 publications

The Integrated Approach for Sustainable Performance Evaluation in Value Chain of Vietnam Textile and Apparel Industry

The Integrated Approach for Sustainable Performance Evaluation in Value Chain of Vietnam Textile and Apparel Industry

Environmental Assessment of European Union Countries

Logistics Services Sector and Economic Recession in Greece: Challenges and Opportunities

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