Convergence Of Efficiency In Manufacturing Industry In Indonesia: Stochastic Frontier Analysis Approach

MOHAMMAD ZEQI YASIN, 041311133128 and Dyah Wulan Sari, Ph.D. (2020) Convergence Of Efficiency In Manufacturing Industry In Indonesia: Stochastic Frontier Analysis Approach. Palarch’s Journal Of Archaeology Of Egypt/Egyptology, 17 (3). pp. 2115-2133. ISSN 1567-214x

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Official URL: https://archives.palarch.nl/index.php/jae/article/...

Abstract

Background The optimal and progressive level of efficiency will be a reflection of the competitiveness of the manufacturing industry in Indonesia because this sector is related with economic growth. Aim This study aims to examine the convergence of efficiency in the manufacturing industry in Indonesia. Method The Stochastic Frontier Analysis (SFA) approach is used to test 24 subsectors of large and medium scale manufacturing industries for 6 years. Data obtained through the Indonesian Central Bureau of Statistics were analyzed using the translog and Cobb Doglas approach. Result Labor, capital values and output have fluctuated for 6 years related to the global crisis and goverment policy. Based on the estimation results, the production function in 20 sub-sectors are in accordance with the Translog approach, while the other 4 sub-sectors are in accordance with the Cobb Douglas approach. All manufacturing sub-sectors in Indonesia experience divergent conditions. The decrease in efficiency that occurred in all sub-sectors of the manufacturing industry was due to inter-subsidies because the company's operations were disrupted. Conclusion Inefficiencies in the manufacturing industry need to be overcome by increasing industrial operational support.

Item Type: Article
Uncontrolled Keywords: Convergence Efficiency, Stochastic Frontier Analysis, Manufacturing Industry
Subjects: H Social Sciences
H Social Sciences > HB Economic Theory
H Social Sciences > HD Industries. Land use. Labor
Divisions: 04. Fakultas Ekonomi dan Bisnis > Doktoral Ilmu Ekonomi
Creators:
CreatorsNIM
MOHAMMAD ZEQI YASIN, 041311133128UNSPECIFIED
Dyah Wulan Sari, Ph.D.UNSPECIFIED
Depositing User: Tn Sugeng Riyanto
Date Deposited: 13 Mar 2022 14:24
Last Modified: 13 Mar 2022 14:24
URI: http://repository.unair.ac.id/id/eprint/113959
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