Is India's Formal Manufacturing Sector ‘Hollowing Out’- Importance of Intermediate Input

Author(s):  
Sonam Choudhry
Author(s):  
Noorasiah Sulaiman ◽  
Zakariah Abdul Rashid ◽  
Khalid Abdul Hamid

The focus of the study is to examine the improvement in productivity on the utilization of intermediate input in resources and non resources-based industries of the Malaysian manufacturing sector. Since improvement in productivity can determine how well an input performed, our main interest rests on whether there exists any discrepancy between the performance of domestic and imported intermediate input. To undertake such an analysis, we employed various publications of the Malaysian Input-Output Tables. The input-output coefficients of domestic and imported inputs were then simulated by using the commodity technology model. It was anticipated that three main findings could be obtained from this study. Firstly, non resourcesbased industries have shown that both inputs have a higher improvement in productivity compared to resources-based industries. Secondly, this study revealed that resource-based industries have improved productivity relatively in the imported input used compared to domestic input. Thirdly, the number of industries that were efficient in utilizing imported input was higher, both, in resource and non resource-based industries. Results from this study show that imported intermediate input are still important in the production of manufactured products, even though many incentives have been given in order to increase the effi ciency of the domestic input used.   Keywords: Productivity improvements, input utilization, resource and non resource-based industries.


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.


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