Export-Driven SME Development in Kyrgyzstan: The Garment Manufacturing Sector

Author(s):  
Nurbek Jenish
Author(s):  
Bogdan Nichifor ◽  
Luminita Zait

The garment manufacturing sector (and, implicitly, knitwear) was one of the most important areas of the Romanian economy during the communist era, satisfying a large part of the existing demand, both in the domestic market and at the external ones. By making a statistic untill the year of 1989, we note that this sector occupied about 10% of Romania's industrial output, 30% of the country's exports and 20% of the number of employees in industry. After 1989, this industry experienced several stages of development, but also stagnation due to the conjuncture that the Romanian economy crossed. Currently, the knitwear market in Romania is dominated by legal entities that carry out lohn production activities at the expense of own brand production, the factors favoring this reality being: relocation of lohn businesses from China to countries like: Romania, Morocco, Tunisia, Turkey, Hungary etc .; high attractiveness of the lohn production system for domestic legal entities, both from an economic perspective and from the perspective of constancy of orders; and so on. This article wishes to highlight the current situation in the knitwear sector in the Northeast Region of Romania, namely the trends from the perspective of the local legal entities working on the lohn production system.


2020 ◽  
Vol 6 (1) ◽  
pp. 18-39
Author(s):  
Areena Zaini ◽  
Haryantie Kamil ◽  
Mohd Yazid Abu

The Electrical & Electronic (E&E) company is one of Malaysia’s leading industries that has 24.5% in manufacturing sector production. With a continuous innovation of E&E company, the current costing being used is hardly to access the complete activities with variations required for each workstation to measure the un-used capacity in term of resources and cost. The objective of this work is to develop a new costing structure using time-driven activity-based costing (TDABC) at . This data collection was obtained at E&E company located at Kuantan, Pahang that focusing on magnetic component. The historical data was considered in 2018. TDABC is used to measure the un-used capacity by constructing the time equation and capacity cost rate. This work found three conditions of un-used capacity. Type I is pessimistic situation whereby according to winding toroid core, the un-used capacity of time and cost are -14820 hours and -MYR2.60 respectively. It means the system must sacrifice the time and cost more than actual apportionment. Type II is most likely situation whereby according to assembly process, the un-used capacity of time and cost are 7400 hours and MYR201575.45 respectively. It means the system minimize the time and cost which close to fully utilize from the actual apportionment. Type III is optimistic situation whereby according to alignment process, the un-used capacity of time and cost are 4120 hours and MYR289217.15 respectively. It means the system used small amount of cost and time from the actual apportionment.


2012 ◽  
Vol 2 (5) ◽  
pp. 368-370
Author(s):  
Baig Mansur Ibrahim ◽  
◽  
Dr. K.Tamizhjyothi Dr. K.Tamizhjyothi

2020 ◽  
Vol 16 (5) ◽  
pp. 935-945
Author(s):  
I.A. Zaikova

Subject. The working time of workers at any stage of economic development is a value reflecting the level of labor productivity. Any progress in productivity contributes to changes in the volume of labor costs and the number of employed. Depending on the relationship between the total volume of labor costs and the number of employed, the duration of working time per one worker may change (it may increase, decrease, or remain unchanged). Objectives. The study aims to confirm the importance of such a macroeconomic indicator as the number of employed in varying working hours. Methods. The study rests on the comparative analysis of countries with developed economies based on some indicators like dynamics of the working time fund, dynamics of the number of employed, average number of hours worked during the year per employee, etc. The analyzed timespan is 25 years (from 1991 to 2016). Results. The comparative analysis revealed that in the non-production sphere and the economy as a whole the macroeconomic determinants correlate so that the length of working time per worker reduces. When considering the analysis results for the manufacturing sector, no single trend was identified. Conclusions. One of the key factors affecting the change in working hours is the number of employed. The relationship between the working time fund and the number of employed directly determines the dynamics of working time per worker.


Sign in / Sign up

Export Citation Format

Share Document