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Technical Efficiency of Automotive Industry Cluster in Chennai

机译:钦奈汽车产业集群的技术效率

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Chennai is also called as Detroit of India due to its automotive industry presence producing over 40 % of the India's vehicle and components. During 2001-2002, diagnostic study was conducted on the Automotive Component Industries (ACI) in Ambattur Industrial Estate, Chennai and in SWOT analysis it was found that it had faced problems on infrastructure, technology, procurement, production and marketing. In the year 2004-2005 under the cluster development approach (CDA), they formed Chennai auto cluster, under public private partnership concept, received grant from Government of India, Government of Tamil Nadu, Ambattur Municipality, bank loans and stake holders. This results development in infrastructure, technology, procurement, production and marketing interrelationships among ACI. The objective is to determine the correlation coefficient, regression equation, technical efficiency, peer weights, slack variables and return to scale of cluster before and after the CDA. The methodology adopted is collection of primary data from ACI and analyzing using data envelopment analysis (DEA) of input oriented Banker-Charnes-Cooper model. There is significant increase in correlation coefficient and the regression analysis reveals that for one percent increase in employment and net worth, the gross output increases significantly after the CDA. The DEA solver gives the technical efficiency of ACI by taking shift, employment, net worth as input data and quality, gross output and export ratio as output data. From the technical score and ranking of ACI, it is found that there is significant increase in technical efficiency of ACI when compared to CDA. The slack variables obtained clearly reveals the excess employment and net worth and no shortage of gross output. To conclude there is increase in technical efficiency of not only Chennai auto cluster in general but also Chennai auto components industries in particular.
机译:钦奈(Chennai)也被称为印度的底特律(Detroit of India),因为其汽车行业的生产量占印度汽车和零部件的40%以上。在2001年至2002年期间,对金奈市Ambattur工业区的汽车零部件工业(ACI)进行了诊断研究,并在SWOT分析中发现该汽车业在基础设施,技术,采购,生产和营销方面面临问题。在2004-2005年间,他们以集群发展的方式(CDA)成立了钦奈汽车集群,并以公私合营的理念获得了印度政府,泰米尔纳德邦政府,Ambattur市政府,银行贷款和利益相关者的赠款。这导致了ACI之间基础设施,技术,采购,生产和营销相互关系的发展。目的是确定CDA前后的相关系数,回归方程,技术效率,同级权重,松弛变量以及聚类规模返回。所采用的方法是从ACI收集原始数据,并使用面向输入的Banker-Charnes-Cooper模型的数据包络分析(DEA)进行分析。相关系数显着增加,回归分析显示,就业和净资产增加1%,总产出在CDA之后显着增加。 DEA求解器通过将轮班,就业,净资产作为输入数据以及质量,总产出和出口比率作为输出数据来提高ACI的技术效率。从ACI的技术得分和排名可以发现,与CDA相比,ACI的技术效率有了显着提高。所获得的松弛变量清楚地表明了过度的就业和净资产,而总产值却并不短缺。总而言之,不仅整个钦奈汽车集群的技术效率都有所提高,特别是钦奈汽车零部件行业的技术效率也在提高。

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