Efficiency and productivity in the Indian unorganized manufacturing sector: did reforms matter?

2008 ◽  
Vol 55 (4) ◽  
pp. 373-399 ◽  
Author(s):  
Rajesh Raj Seethamma Natarajan ◽  
Malathy Duraisamy
2020 ◽  
Vol 8 (2) ◽  
pp. 194-211
Author(s):  
Prantik Bagchi ◽  
Santosh Kumar Sahu

We explain the relationship between energy intensity and productivity for the organized manufacturing sector of India. Using data from the secondary sources, we explain the relationships at aggregate, state and industry levels. The novelty of this paper lies in bringing in pollution loads in explaining inter-industry variations in energy intensity. Results of this study indicate that the organized manufacturing sector of India has gained energy efficiency and productivity. We found heterogeneity among Indian states in productivity growth and energy intensity. The results indicate that small states performed well whereas large states fall in the productivity paradox. The productivity dilemma hypothesis is validated at industry level analysis however, results are inconsistent to validate the decoupling growth hypothesis. Pollution loads as classified by Government of India, plays a vital role in explaining energy intensity variations across industries, which calls for better policies aiming at pollutive industries specifically to achieve sustainable growth for the manufacturing sector of the Indian economy.


2012 ◽  
Vol 245 ◽  
pp. 220-226 ◽  
Author(s):  
Ionela Tanase ◽  
Liviu Morar

Finding productive performance of a producer is a topical issue on the basis of which has been and are done a large number of research. Currently there are several productive performance measurement techniques detailed in various forms, among which the most used are the efficiency and the productivity. The work presents the comparative measurement of the efficiency and productivity for a processing activity of specific products from machines constructions, organized in several enterprises in the area of N-V of Romania, between the intervals 2005-2010. This study uses data envelopment analysis (DEA) to measure the utilization capacity in six enterprises. Malmquist index method used in this research indicates that there is the tendency to increase or decrease the productivity and efficiency of the studied enterprises. Identification of positive or negative trend productive performance can be used to prepare a strategy of reducing inefficiencies and improving effectiveness of production process. Specifically, this study quantifies the level of technical efficiency and technical change in this particular manufacturing sector.


2017 ◽  
Vol 17 (1) ◽  
pp. 183
Author(s):  
Etty Puji Lestari ◽  
Isnina WSU

The problems on the manufacturing industry in Indonesia, among others, the disparity level of efficiency and productivity of each sub-sector of the manufacturing industry in Indonesian. This occurs due to the imbalance in the structure and dominant market share for some particular type of business in each sub-sector is in the manufacturing sector. The study will analyze the performance of the manufacturing industry in Indonesia using Data Envelopment Analysis. The study states that there is a difference of efficiency at every level of the industry. Therefore, government policies relating to industry development is absolutely necessary to improve the performance of the industry sector.


2017 ◽  
Vol 13 (31) ◽  
pp. 521 ◽  
Author(s):  
Rasaq Akonji Danmola ◽  
Adijat Olubukola Olateju ◽  
Abubakar Wambai Aminu

The objective of the study reveals that FDI in the Manufacturing sector exacts a positive influence on the manufacturing output and the impact is statistically significant. This result further confirms the effectiveness of economic policy of the federal government of Nigeria through the adoption of liberalized industrial and trade policies. These policies were undertaken with a view to improve efficiency and productivity, as well as to improve the competitiveness of the Nigerian manufacturing industry. The policy implication is that,in order to maintain sustainable economic growth and development, a positive domestic investment is a prerequisite for increasing the flow of foreign investment in the manufacturing sector. Nigeria, while continuing to encourage inward FDI, efforts should be made to channel it into the manufacturing sector so as to accelerate the diversification process. In addition, the implementation of policy of trade liberalization should be reviewed and implemented with caution. The policy that will further make the economy more-import dependent will not augur well for the economy.


2014 ◽  
Vol 59 (05) ◽  
pp. 1450039
Author(s):  
BOON L. LEE

This paper seeks to explain the lagging productivity in Singapore's manufacturing noted in the statements of the Economic Strategies Committee (ESC) Report 2010. Two methods are employed: the Malmquist productivity to measure total factor productivity (TFP) change and Simar and Wilson's (2007) bootstrapped truncated regression approach which first derives bias-corrected efficiency estimates before being regressed against explanatory variables to help quantify sources of inefficiencies. The findings reveal that growth in TFP was attributed to efficiency change with no technical progress. Sources of efficiency were attributed to quality of worker and flexible work arrangements while the use of foreign workers lowered efficiency.


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.


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