What Are the Effects of Capital Flow Shocks on the Domestic Manufacturing Sector?

2020 ◽  
pp. 143-152
Author(s):  
Nombulelo Gumata ◽  
Eliphas Ndou
Keyword(s):  
Manufacturing Sector ◽  
Capital Flow

INTELLECTUAL CAPITAL, COMPETITIVE ADVANTAGE (EVIDENCE FROM INDONESIA’S MANUFACTURING SECTOR)

2020 ◽  
Vol 3 (1) ◽  
pp. 1-11
Author(s):  
Louis Waluyo ◽  
◽  
Luky Patricia Widianingsih ◽  
Keyword(s):  
Competitive Advantage ◽  
Intellectual Capital ◽  
Manufacturing Sector

A Case Study on the Un-Used Capacity Assessment Using Time Driven Activity Based Costing for Magnetic Components

2020 ◽  
Vol 6 (1) ◽  
pp. 18-39
Author(s):  
Areena Zaini ◽  
Haryantie Kamil ◽  
Mohd Yazid Abu
Keyword(s):  
Historical Data ◽  
Manufacturing Sector ◽  
Type I ◽  
Activity Based Costing ◽  
Cost Rate ◽  
Continuous Innovation ◽  
Magnetic Components ◽  
Alignment Process ◽  
Capacity Cost

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.

Evaluating Workplace Ergonomics of Manufacturing Sector at Union Territory of Puducherry

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

The number of employed as a macroeconomic indicator of working time dynamics

2020 ◽  
Vol 16 (5) ◽  
pp. 935-945
Author(s):  
I.A. Zaikova
Keyword(s):  
Comparative Analysis ◽  
Manufacturing Sector ◽  
Working Hours ◽  
Working Time ◽  
Labor Costs ◽  
Factors Affecting ◽  
Time Dynamics ◽  
Developed Economies ◽  
The Relationship ◽  
Macroeconomic Indicator

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.

Impact of Corporate Governance on the Cash Holding of the Firms: An Empirical Study of Indian Manufacturing Sector

GIS Business ◽  
2017 ◽  
Vol 12 (4) ◽  
pp. 47-52
Author(s):  
Karam Pal Narwal ◽  
Sonia Jindal
Keyword(s):  
Corporate Governance ◽  
Audit Committee ◽  
Manufacturing Sector ◽  
Control Variable ◽  
Cash Holding ◽  
Executive Directors ◽  
Control Effect ◽  
Board Size ◽  
Indian Manufacturing Sector ◽  
The Impact

The paper empirically examines the impact of corporate governance on the cash holding of the firms. The components of corporate governance are measured by board size, board meeting, audit committee members, directors remuneration and non executive directors and the cash holding is measured with the log of average cash and size is taken as control variable for the control effect on the dependent variables. Moreover, correlation and panel regression model were employed to examine the relationship between the corporate governance and cash holding. Empirical data was collected from 96 firms over the period of 2004-05 to 2013-14. The results show that directors remuneration and the number of audit committee members positively influence the cash holding and the board size also positively influences the cash holding whereas, the non executive directors and the board meetings do not play any role in enhancing the cash holding.

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