Malmquist Indexes of Productivity Change in Tunisian Manufacturing Industries

Zrelli, Houyem; Tlili, Iskander

doi:10.3390/su12041367

Cited by 8 publications

(3 citation statements)

References 34 publications

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“…Variations in these values are directly caused by competition and lower prices of services and products, and thus lower profitability. The established technological progress corresponds to the results obtained in research on examples of other industries such as [45,46]. DMU 2 and DMU 3 do not change significantly since the ratio of efficiency in certain time intervals is 1.…”

supporting

confidence: 77%

Measuring Efficiency Change in Time Applying Malmquist Productivity Index: A Case of Distribution Centres in Serbia

2021

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In the last decade, more and more attention has been paid to the efficiency of logistics systems not only in the literature but also in practice. The reason is the huge savings that can be achieved. In a very dynamic market with environmental changes distribution centers have to realize their activities and processes in an efficient way. Distribution centers connect producers with other participants in the supply chain, including end-users. The main objective of this paper is to develop a DEA model for measuring distribution centers’ efficiency change in time. The paper investigates the impact of input and output variables selection on the resulting efficiency in the context of measuring the change in efficiency over time. The selection of variables on the one hand is a basic step in applying the DEA method. On the other hand, the number of basic and derived indicators that are monitored in real systems is increasing, while the percentage of those used in the decision-making process is decreasing (less than 20%). The developed model was tested on the example of a retail chain operating in Serbia. The main factors changing the efficiency have been identified, as well as the corresponding corrective actions. For measuring efficiency change in time Malmquist productivity index is used. The developed approach could help managers in the decision-making process and also represents a good basis for further research.

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confidence: 77%

Measuring Efficiency Change in Time Applying Malmquist Productivity Index: A Case of Distribution Centres in Serbia

2021

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“…The Malmquist productivity index is widely used in the financial, industrial, medical, and other sectors to measure production efficiency [109,110] Famous economist Sten Malmquist proposed the Malmquist productivity index as a consumption index in 1953 [111,112]. Later, this methodology was applied to a productivity analysis [113].…”

Section: Malmquist Productivity Indexmentioning

confidence: 99%

Efficiency Evaluation and the Impact Factors of Sustainable Forestry Development in China: Adoption of Super-Efficiency Data Envelopment Analysis and Malmquist Index Methods

Wang

Agyeman

et al. 2023

Forests

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Forestry is the underpinning of economic and environmental civilization for sustainable economic development. Forestry benefits ecosystems and local dwellings; thus, transforming and advancing forest products in a civilized society is critical to building a progressive community. This research aims to analyze the merits of forest products based on static, dynamic, and scale efficiency. It employed the super-efficient data envelopment analysis—Charnes, Cooper and Rhodes, and Malmquist index methods with an enhanced robustness check by applying the Stochastic Frontier Analysis. The results show that, first, from the perspective of static efficiency, the forestry industry’s operating performance is maintained at a relatively high level, with a minimal fluctuation range; however, the scale efficiency is observed at a deficient level. Limited by the scale efficiency results, the aggregate comprehensive technical efficiency was at a low standard. The average total factor productivity of dynamic efficiency for each company reached 1.029, indicating that the resource allocation of listed companies is relatively reasonable, operating efficiency is on the rise, and technical level changes are a substantial source of total factor productivity growth. Furthermore, the super efficiency DEA findings indicated that 11 of the most high-performance companies attained an efficiency value above criterion value one after re-ranking. The comprehensive efficiency value of Sun Paper reached 1.438 in 2019, Sophia 1.393, Hexing Packaging 1.383, Fujian Jinsen 1.326, Bunny 1.271, Meike Home Furnishing 1.235, Jingxing Paper 1.222, Zhongshun Jiezou 1.116, Meiying Sen 1.099, Chenming Paper 1.064, Da Ya Dekor 1.015. Second, the comprehensive efficiency value of Fujian Jinsen’s company has a more significant impact on the overall average efficiency of the forestry listed companies. After excluding Fujian Jinsen, the average comprehensive efficiency of 2018–2019 indicated an upward trend for the listed companies. This study suggests that policymakers should strengthen the forestry industry development plan and policy implementation regulations to focus on the forward-looking and guiding principles of industrial and technological innovation policies.

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“…As a result of the study, the increase trend in the Chinese food sector productivity was negative (68.75%). Zrelli et al (2020) tried to calculate the total factor productivity of the Tunisian manufacturing industry between 2002-2016. In the study, output oriented Malmquist index is used as a method.…”

Section: Literature Reviewmentioning

confidence: 99%

Türkiye'de Seçilmiş Gıda İşleme Firmalarının Etkinlik ve Toplam Faktör Verimliliğinin Karşılaştırmalı Analizi

Hajihassaniasl

2021

İktisadi İdari Ve Siyasal Araştırmalar Dergisi

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The main purpose of the study is the efficiency and productivity analysis of selected firms that operating in the Turkey food processing industry in 2015-2019 period. In the study, two variables, namely the equity of the firms and the number of paid employees, are used as input, while the net sales values of the firms are used as output. Estimates were made in two stages using the Data Envelopment Analysis method and the Malmquist index approach as a method. The technical efficiency results of the firms in the first stage showed that all firms except one firm operate below the optimal scale. The results of the Malmquist index in the second stage of the study showed that the technical efficiency changes of all firms increased in the examined period, and there was an increase in productivity in all firms except for three firms. However, technological development changes in most of the companies decreased in the period under consideration. According to the results, the decrease in technological change was determined as the important factor causing the decrease in productivity of these companies.

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Malmquist Indexes of Productivity Change in Tunisian Manufacturing Industries

Cited by 8 publications

References 34 publications

Measuring Efficiency Change in Time Applying Malmquist Productivity Index: A Case of Distribution Centres in Serbia

Measuring Efficiency Change in Time Applying Malmquist Productivity Index: A Case of Distribution Centres in Serbia

Efficiency Evaluation and the Impact Factors of Sustainable Forestry Development in China: Adoption of Super-Efficiency Data Envelopment Analysis and Malmquist Index Methods

Türkiye'de Seçilmiş Gıda İşleme Firmalarının Etkinlik ve Toplam Faktör Verimliliğinin Karşılaştırmalı Analizi

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