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Measuring the efficiency of materials management based on data envelopment analysis approach: the case of Polish regions

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  • Aneta Masternak‐Janus

Abstract

This paper examines the applicability of DEA (Data Envelopment Analysis) to measure and evaluate the efficiency of materials management at the regional level. The research has been conducted for Polish regions as a case study. The basis for the calculation of the efficiency scores was a statistically selected set of materials used in a given region and the Gross Domestic Product (GDP). The results of the analysis reveal that 4 (Łódzkie, Śląskie, Warmińsko‐Mazurskie, and Zachodniopomorskie) out of 16 Polish regions are relatively efficient. The remaining regions consume too many material resources in the process of generating goods and services. Este artículo examina la aplicabilidad del Análisis Envolvente de Datos (DEA, por sus siglas en inglés) para medir y evaluar la eficiencia de la gestión de materiales a nivel regional. La investigación se ha realizado para regiones polacas utilizadas como estudio de caso. La base para el cálculo de las puntuaciones de eficiencia fue un conjunto seleccionado estadísticamente de materiales utilizados en una región determinada y el Producto Interior Bruto (PIB). Los resultados del análisis revelan que 4 regiones (Łódzkie, Śląskie, Warmińsko‐Mazurskie y Zachodniopomorskie) de las 16 regiones polacas son relativamente eficientes. Las regiones restantes consumen demasiados recursos materiales en el proceso de generación de bienes y servicios. 本稿では、包絡分析法(Data Envelopment Analysis:DEA)を用いて資材管理の効率性を地域レベルで測定し評価することの妥当性を検討する。本研究は、ポーランド地域を対象としたケーススタディとして実施した。対象地域で使用される、統計的に選択された資材一式と国内総生産(GDP)を効率性スコアの計算の基礎とした。結果から、ポーランドの16地域のうちの4地域(ウッチ、シロンスク、ヴァルミア=マズールィ、西ポモージェ)が比較的効率性が高いことが明らかになった。他の地域では、商品やサービスを生み出す過程において、資材となるリソースを使いすぎている。

Suggested Citation

  • Aneta Masternak‐Janus, 2022. "Measuring the efficiency of materials management based on data envelopment analysis approach: the case of Polish regions," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 603-618, June.
  • Handle: RePEc:bla:presci:v:101:y:2022:i:3:p:603-618
    DOI: 10.1111/pirs.12661
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    References listed on IDEAS

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    1. Zhang, Lin & Zhao, Linlin & Zha, Yong, 2021. "Efficiency evaluation of Chinese regional industrial systems using a dynamic two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    2. Robert Stefko & Beata Gavurova & Kristina Kocisova, 2018. "Healthcare efficiency assessment using DEA analysis in the Slovak Republic," Health Economics Review, Springer, vol. 8(1), pages 1-12, December.
    3. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    4. Goto, Mika & Otsuka, Akihiro & Sueyoshi, Toshiyuki, 2014. "DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries," Energy, Elsevier, vol. 66(C), pages 535-549.
    5. Gary Ferrier & Julie Trivitt, 2013. "Incorporating quality into the measurement of hospital efficiency: a double DEA approach," Journal of Productivity Analysis, Springer, vol. 40(3), pages 337-355, December.
    6. Bogusław Guzik, 2009. "Important applications of the super-efficiency CCR model to economic analysis," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(3), pages 47-63.
    7. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    8. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Efficiency-based rank assessment for electric power industry: A combined use of Data Envelopment Analysis (DEA) and DEA-Discriminant Analysis (DA)," Energy Economics, Elsevier, vol. 34(3), pages 634-644.
    9. Aristovnik, Aleksander, 2014. "Efficiency of the R&D Sector in the EU-27 at the Regional Level: An Application of DEA," MPRA Paper 59081, University Library of Munich, Germany.
    10. Jirawan Jitthavech, 2016. "Variable elimination in nested DEA models: a statistical approach," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 27(3), pages 389-410.
    11. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    12. Jesús T. Pastor & JosÉ L. Ruiz & Inmaculada Sirvent, 2002. "A Statistical Test for Nested Radial Dea Models," Operations Research, INFORMS, vol. 50(4), pages 728-735, August.
    13. Stepan Zemtsov & Maxim Kotsemir, 2019. "An assessment of regional innovation system efficiency in Russia: the application of the DEA approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 375-404, August.
    14. Kovanda, Jan & Weinzettel, Jan & Hak, Tomas, 2009. "Analysis of regional material flows: The case of the Czech Republic," Resources, Conservation & Recycling, Elsevier, vol. 53(5), pages 243-254.
    15. Daniela Russi & Ana C. Gonzalez-Martinez & José Carlos Silva-Macher & Stefan Giljum & Joan Martínez-Alier & Maria Cristina Vallejo, 2008. "Material Flows in Latin America," Journal of Industrial Ecology, Yale University, vol. 12(5-6), pages 704-720, October.
    16. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, November.
    17. Bian, Yiwen & Yang, Feng, 2010. "Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon's entropy," Energy Policy, Elsevier, vol. 38(4), pages 1909-1917, April.
    18. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
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