Using the Malmquist Index in Evaluating the Productivity of Production Factors in Manufacturing Companies
الموضوعات : International Journal of Data Envelopment AnalysisFarhad Hosseinzadeh Lotfi 1 , leila taghizadetame 2
1 - گروه ریاضی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
2 - Islamic Azad university science and research branch
الکلمات المفتاحية: Data Envelopment Analysis , Malmquist Index , Total Factor Productivity,
ملخص المقالة :
Productivity, a crucial aspect of economics, refers to the efficient use of resources to maximize output. In today’s world, enhancing productivity is vital for economic growth and competitiveness in global markets. Improvements in productivity lead to cost reductions, increased profitability, and better quality of products and services.
This study analyzes changes in total factor productivity by examining data from 20 manufacturing companies in the construction sector listed on the stock exchange. It aligns with the country’s Fifth Development Plan and uses the Malmquist Index as the primary tool for measuring productivity. The Malmquist Index assesses technical and scale efficiency to identify productivity changes over time.
The investigation covers the period from 2010 to 2013, reflecting various economic and market conditions. The findings can help managers and policymakers pinpoint strengths and weaknesses in production processes, offering strategies to enhance productivity and efficiency in the construction industry. Additionally, these results provide valuable insights for researchers and practitioners interested in productivity and efficiency.
Given the importance of the topic, this article contributes to understanding the factors affecting productivity in manufacturing and aids in developing strategies to improve the country’s economic performance.
[1] Arhin K, Frimpong AO, Boso R, Acheampong K (2023) A double bootstrap data envelopment analysis model for evaluating malaria spending efficiency in Sub-Saharan Africa. Healthcare Anal 3:100137
[2] Arora, V. and Parminder, S. (2008). Economic Reforms and Productivity Growth in Indian Manufacturing Sector: An Interstate Analysis, The ICFAI University Journal of Industrial Economics, V (3), pp. 35-47.
[3] Falavigna G, Ippoliti R, Ramello GB (2018) DEA-based Malmquist productivity indexes for understanding courts reform. Socioecon Plann Sci 62:31–43
[4] Giacalone M, Nissi E, Cusatelli C (2020) Dynamic efficiency evaluation of Italian judicial system using DEA based Malmquist
[5] Khoshroo A, Izadikhah M, Emrouznejad A (2022) Total factor energy productivity considering undesirable pollutant outputs: a new double frontier-based Malmquist productivity index. Energy 258:124819
[6] Krugman, P. (1994). The Myth of Asia’s Miracle, Foreign Affairs, 73, pp. 62-78
[7] Malmquist S (1953) Index numbers and indifference surfaces. Trab Estad 4(2):209–242
[8] Odeck J, Schoyen H (2020) Productivity and convergence in Norwegian container seaports: An SFA-based Malmquist productivity index approach. Transp Res Part A Policy Pract 137:222–239
[9] Pourmahmoud J, Bagheri N (2023) Uncertain Malmquist productivity index: an application to evaluate healthcare systems during COVID-19 pandemic. Socio-Econ Plan Sci 87:101522
[10] Raayatpanah MA, Ghasvari H (2011) Malmquist productivity index with stochastic variations in data. World Appl Sci J13(8):1864–1869
[11] Young, A. (1995). The Tyranny of Numbers: Confronting the Statistical Realities of the East Asian Growth Experience, Quarterly Journal of Economics, 110 (3), pp. 641-80.
[12] Yu M, Nguyen MT (2023) Productivity changes of Asia-Pacific airlines: a Malmquist productivity index approach for a twostage dynamic system. Omega 115:102774
