Bangladeş'teki İmalat Sanayilerinde Teknik Verimlilik: DEA Parametrik Olmayan Analiz

Year 2023, , 1 - 27, 30.06.2023

Mohammad Nazmus Sakib , Zobayer Ahmed

https://doi.org/10.52736/ubeyad.1183467

Abstract

Bu çalışmanın amacı, Bangladeş imalat sanayiinin teknik verimliliğini değerlendirmektir. Seçilen üç farklı VZA modeliyle VZA analizini kullandık: CCR, BCC ve gevşek tabanlı model. Bu çalışmada girdi değişkenleri olarak firma sayısı, işgücü, maaş/ücretler, sanayi ve sanayi dışı maliyetler, çıktı değişkeni olarak brüt çıktı değeri alınmıştır. Analizimiz, Ortak verimli endüstrilerin içecek imalatı, Tütün imalatı, hazır giyim, kauçuk ve plastik imalatı, ulaşım teçhizatı, Geri dönüşüm, metalik olmayan mineral ürünler, makine ve teçhizat, motorlu taşıtlar ve römorklar ve makine ve teçhizatın Onarımı olduğunu buldu. Üç VZA modeli kullanılarak, çoğu durumda, hazır giyim endüstrilerinin içecek ve tütün ürünleri imalatının, yeterlilik başarısı pozisyonlarında en yüksek performans gösterenler arasında kaldığını keşfetti. Bu araştırma, bu endüstrilerin önemli verimlilik iyileştirmeleri yaptığını ve aynı zamanda küresel pazarda rekabet etmeye devam etme yeteneği kazandıklarını göstermektedir.

Keywords

Teknik Verimlilik, İmalat Endüstrileri, VZA Analizi, Parametrik Olmayan Test, Bangladeş

Technical Efficiency in the Manufacturing Industries in Bangladesh: A DEA Non-Parametric Analysis

Abstract

This study's aim is to evaluate the technical efficiency of Bangladesh's manufacturing industry. We utilized DEA analysis with selected three distinct DEA models: CCR, BCC, and the slack-based model. In this study, the number of firms, labour, salary/wages, industrial and non-industrial cost are considered as inputs variables, and the gross output value is set as the output variable. Our analysis found that Common efficient industries are the Manufacture of beverages, Manufacture of tobacco, readymade garments, rubber and plastic, transport equipment, Recycling, non-metallic mineral products, machinery and equipment, motor vehicles & trailers and Repairs of machine & equipment. By using three DEA model explored that, in most circumstances manufacture of beverages, tobacco products, of Readymade garments industries remain among topmost performers in positions of proficiency achievement. This research suggests that those industries have made significant efficiency improvements, and they have also gained the ability to continue competing in the global marketplace.

Keywords

Technical Efficiency, Manufacturing Industries, DEA Analysis, Non Parametric Test, Bangladesh

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