Do Credit Booms, Financial and Credit Cycles Affect Activity in the Manufacturing Sector?

2020 ◽  
pp. 167-176
Author(s):  
Nombulelo Gumata ◽  
Eliphas Ndou
Keyword(s):  
Manufacturing Sector ◽  
Credit Booms ◽  
Credit Cycles

scholarly journals Towards an understanding of credit cycles: do all credit booms cause crises?

2018 ◽  
Vol 26 (10) ◽  
pp. 978-993 ◽  
Author(s):  
R. Barrell ◽  
D. Karim ◽  
C. Macchiarelli
Keyword(s):  
Credit Booms ◽  
Credit Cycles

scholarly journals Riding the Wave of Credit: Are Longer Expansions Really a Bad Omen?

2019 ◽  
Vol 31 (4) ◽  
pp. 729-751
Author(s):  
Vítor Castro ◽  
Rodrigo Martins
Keyword(s):  
Empirical Analysis ◽  
Banking Crisis ◽  
Banking Crises ◽  
Duration Model ◽  
Credit Booms ◽  
Credit Cycles ◽  
The Relationship ◽  
The Empirical Analysis

AbstractSome studies argue that credit booms that end up in banking crises are usually longer than those that end without creating havoc. However, they do not test this hypothesis empirically. This paper employs a duration model to assess the relationship between the length of credit booms and their outcome. The empirical analysis shows that credit expansions that end in banking crisis are indeed more prone to last longer than those that end softly. Furthermore, differences in length patterns are found to start in the build-up phase, extending to the unwinding phase of credit cycles.

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
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