Performance Evaluation of Vietnamese Apparel Enterprises: An Application of DEA Approach

2021 ◽  
Vol 18 ◽  
pp. 1-9
Author(s):  
Tran Van Trang ◽  
Quang Hung Do ◽  
Minh Huan Luong
Keyword(s):  
Performance Evaluation ◽  
Cost Management ◽  
Apparel Industry ◽  
Labor Cost ◽  
Efficiency Analysis ◽  
Main Role ◽  
Dea Efficiency ◽  
Overall Performance ◽  
Dea Approach ◽  
National Industry

A continued robust growth of Vietnamese apparel enterprises has showed that they do notplay the auxiliary but the main role in the national industry. However, in general, the apparel industryin Vietnam has not met the practical requirements. In order to provide overall performance evaluationand how to achieve efficiency systematically, this study utilizes DEA approach to determine theperformance levels of 15 Vietnamese apparel industry enterprises and assess their efficiency.Specifically, we have applied output oriented model, which aims to maximize outputs while the inputsproportions remain unchanged to realize DEA efficiency analysis. CCR-based and BCC-based modelsare utilized to get overall technical and pure technical efficiencies. The findings show that havingbusiness transactions with foreign partners, good labor cost management and effective inventorymanagement are the most prominent factors in distinguishing between efficient and inefficiententerprises in Vietnam's apparel industry. The study may be a useful tool for managers to improvetheir performances and effectively allocate resources.

scholarly journals Design, Development, and Performance Evaluation of a Power-Operated Jute Fiber Extraction Machine

2021 ◽  
Vol 3 (2) ◽  
pp. 403-422
Author(s):  
Md. Rejaul Karim ◽  
Muhammad Arshadul Hoque ◽  
Alamgir Chawdhury ◽  
Faruk-Ul-Islam ◽  
Sharif Ahmed ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Production Cost ◽  
Cost Effective ◽  
Labor Cost ◽  
Jute Fiber ◽  
Design Development ◽  
Regional Office ◽  
Practical Action ◽  
Traditional System ◽  
Fiber Extraction

Jute is the golden fiber of Bangladesh, but its production is declining due to the involvement of higher production and processing costs, where a major portion of the cost is needed for fiber extraction. Labor unavailability and increasing labor cost have led to higher jute fiber production cost. To address these issues, this study looks at the development of a power-operated and cost-effective fiber extraction machine aiming at reducing the production cost. The study was conducted at the Rangpur regional office premises of Practical Action in Bangladesh, and the developed machine was branded as “Aashkol”, which had the following major parts: a feeding tray, a primary extraction roller, a secondary extraction roller, grabbing rollers, fiber collection stand, base frame, protection cover, and a spring-loaded tray under the primary extraction roller. The Aashkol can extract green ribbon from the jute stem, but jute sticks were broken down into smaller pieces (3–6 cm). The performance evaluation of the machine was conducted using different types of jute (Deshi, Kenaf, and Tossa) and compared with another jute extraction machine (KP model, introduced by Karupannya Rangpur Ltd.). The Aashkol-based extraction and improved retting systems were also evaluated and compared with traditional jute extraction systems. The jute stem input capacity (4.99 t h−1) of the Aashkol was 47.6% higher than the KP model (3.38 t h−1). Compared with the traditional system, across jute types, the Aashkol produced a 9% higher fiber yield and saved 46% retting time. Overall, the Aashkol reduced 90% of the labor requirement and saved 11.6 USD t−1 in jute fiber extraction and retting than the traditional method.

Efficiency analysis for performance evaluation of electric distribution companies

2022 ◽  
Vol 134 ◽  
pp. 107430
Author(s):  
Giulia O.S. Medeiros ◽  
Luana M. Marangon-Lima ◽  
Anderson R. de Queiroz ◽  
José W. Marangon-Lima ◽  
Lorena C.B. dos Santos ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Efficiency Analysis ◽  
Electric Distribution

Analysing drivers of efficiency in the leather industry: a two-stage double bootstrap DEA approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aparajita Singh ◽  
Haripriya Gundimeda
Keyword(s):  
Geographical Location ◽  
Environmental Cost ◽  
Small Scale ◽  
Leather Industry ◽  
Content Type ◽  
Explanatory Variables ◽  
Dea Efficiency ◽  
Urban Rural ◽  
Dea Approach ◽  
Rural Firms

PurposeThe Indian leather industry contributes to economic growth at a significant environmental cost. Due to the rising global demand for sustainable leather products, promoting efficient input utilisation has become vital. This study measures input efficiency and its determinants for leather industry in order for it to improve its future performance.Design/methodology/approachIn the first stage, bootstrap data envelopment analysis (DEA) approach is used for measuring efficiency and analysing firms' differences based on their geographical location, organisational structures, urban-rural location and sub-industrial groups. A second stage regression examines efficiency determinants using size, age, skill and capital-labour intensity as the explanatory variables.FindingsEfficiency result shows a significant potential of minimising inputs by 47% provided the firms adopt best practices. West Bengal firms, urban located firms, individual and proprietorship owned firms and leather consumer goods firms are found to be relatively efficient to their counterparts. Size, skilled managerial staff and labour-intensive firms positively affect efficiency.Practical implicationsConstruction of well-connected roads for accessing urban retail markets and provision of reliable electricity would improve efficiency of rural firms. Small-scale enterprises have a larger share in Indian leather industry; therefore, policy should focus on enhancing the firms' scale and investing in training facilities to skill employed labour for ensuring optimal use of inputs.Originality/valuePrevious studies on the leather industry have used the conventional DEA efficiency measurement approach. This study uses DEA bootstrapping model for robust efficiency estimates and provides consistent inferences about the determinants.

Bridging Modernity by Improving Informal Sector for Substantially Industrialized Construction in Developing Countries

2018 ◽  
pp. 1706-1735
Keyword(s):  
Developing Countries ◽  
Human Resources ◽  
Construction Industry ◽  
Informal Sector ◽  
Cost Management ◽  
Labor Cost ◽  
Decision Models ◽  
Improve Performance ◽  
Construction Productivity

We have argued in Chapters 1-3 that the construction industry in developing countries is dominated by the strong presence of SMEs and “jobbers”. The informal sector workers constitute the essential provider of human resources construction industry. So far, the weaknesses of the construction industry in developing countries have been identified. As a result, various decision models were proposed for largely improving labor cost management and scheduling (time) with the aim of improving productivity. In a single volume like this, it is unrealistic to cover all aspects to improve performance. This chapter will now provide ideas on how quality of projects can also be improved so as to maintain a balance between cost, time and quality. Furthermore, the management of onsite workshops that can lead to construction productivity will be examined.

scholarly journals Efficiency Analysis of Official Development Assistance Provided by Korea

2018 ◽  
Vol 10 (8) ◽  
pp. 2697 ◽  
Author(s):  
Yun-Gi Hwang ◽  
Soohyun Park ◽  
Daecheol Kim
Keyword(s):  
Development Assistance ◽  
Efficiency Analysis ◽  
Official Development Assistance ◽  
Qualitative Assessment ◽  
Tobit Regression ◽  
Average Efficiency ◽  
Positive Effects ◽  
Dea Efficiency ◽  
Low Efficiency ◽  
Tobit Regression Analysis

Results of the CDI and QODA evaluation developed by OECD showed that Korea’s aid presented low efficiency compared to other aid countries. However, these methods represent a qualitative assessment of the effectiveness of each country’s aid and are not applicable to the evaluation of actual aid projects and the identification of causes of the inefficiency. Therefore, it is needed to grasp the reality of Korea’s aid and to identify the cause of aid inefficiency to set up a better ODA policy. The purpose of this study is to improve the effectiveness of Korea’s Official Development Assistance (ODA) provided to developing countries. To do this, we analyzed the efficiency of ODA provided to 33 recipient countries by Korea through data envelopment analysis method. The effects of three factors, illiteracy, integrity, and GDP, on efficiency were also investigated by utilizing a Tobit regression analysis. As a result of the DEA efficiency analysis, it was found that the average efficiency was about 65.74%. By region, the average efficiency scores of Asia, Africa, Central and South America, and Middle East and Eastern Europe were about 47.8%, 78.9%, 70.4%, and 62.7%, respectively. This indicates that Asian countries are inefficient compared to countries from other regions. It was also found that GDP, integrity, and illiteracy have positive effects on efficiency. The methodology proposed in this study can be used for other studies to create an aid policy that produces efficient results.

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