对大型制造业效率的分析正在西爪哇省

M. Ulkhaq
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引用次数: 1

摘要

摘要:目的:本研究旨在分析印尼西爪哇省大中型制造业(LMMIs)的技术效率。方法:采用数据包络分析(DEA)中基于松弛的效率度量(SBM)来实现研究目标。产出以总产值(千印尼盾)计算;而投入是:劳动力成本、材料成本、燃料成本、电力成本和固定资本成本。结果:本研究使用的数据来自印度尼西亚中爪哇省统计局2019年的年度调查。lmmi按照所有经济活动的国际标准行业分类(ISIC)第4版分为24个不同的行业分类。结果表明,在23个ISIC分类中,有5个分类被认为是有效的,它们是:烟草制品;皮革及相关产品及鞋类;纸及纸制品;焦炭,精炼石油产品,和电气设备。局限性:本研究是在横断面环境下进行的。建议在面板数据设置中进行类似的分析,因为可以获得更多关于效率和效率变化的信息。贡献:用SBM-DEA评价印尼制造业技术效率的文献相当有限;因此,本研究通过提供这样的分析对文献做出了贡献。关键词:1。数据包络分析效率3。大中型企业5.制造业slacks-based测量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Efisiensi Industri Manufaktur Besar dan Sedang di Provinsi Jawa Barat
Abstract: Purpose: This study aims to analyse technical efficiency of large and medium manufacturing industries (LMMIs) in West Java Province, Indonesia. Method: The slacks-based measure (SBM) of efficiency in data envelopment analysis (DEA) is used to accomplish the objective of the study. The output is measured by total output value in thousand rupiahs; while the inputs are: labour cost, cost of materials, cost of fuels, cost of electricity, and fixed capital cost. Results: This study uses data from the annual survey held by Statistics Indonesia of Central Java Province for the period of 2019. The LMMIs are divided into 24 different industrial classifications following the International Standard Industrial Classification of all Economic Activities (ISIC) Revision 4. Result shows that among 23 ISIC classifications, five of them are considered as efficient, they are: tobacco products; leather and related products and footwear; paper and paper products; coke, refined petroleum products, and electrical equipment. Limitations: This study is performed in a cross-sectional setting. It is recommended to conduct similar analysis in a panel data setting since more information of efficiency and changes in efficiency can be obtained. Contribution: Literature about assessing technical efficiency of manufacturing industry in Indonesia using SBM-DEA is quite limited; therefore, this study contributes to the literature by providing such analysis. Keywords: 1. data envelopment analysis 2. efficiency 3. large and medium enterprise 4. manufacturing industry 5. slacks-based measure
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