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Is the influence of intellectual capital on firm performance homogeneous? Evidence from India employing quantile regression model

机译:知识产权对公司性能同质的影响吗?来自印度的证据雇用量级回归模型

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This paper investigates the association between intellectual capital (IC) and firm performance by employing quantile regression model to derive robust and complete association that the classical mean regression fails to extricate. Secondary data on 253 listed Indian firms are collected from 'Capitaline Plus' corporate database for a period of 16 years from 1999-2000 to 2014-2015. IC and its components are computed using Pulic's value added intellectual coefficient (VAIC) model and firm performance is measured by return on asset (ROA). Both pooled OLS and quantile regression models are used to test the hypotheses. The results indicate that the pooled ordinary least square regression provides an incomplete picture about IC efficiency of firms. The results of quantile regression indicate that the positive influence of intellectual capital is higher at upper quantiles. The results also reveal that intellectual capital is a vital factor that creates a significant difference between out-performing and non-performing firms.
机译:本文调查了智力资本(IC)与企业绩效的关联,通过使用量级回归模型来推导稳健和完整的关联,即经典的平均回归未能提取。 253名上市印度公司的二级数据从1999 - 2000年至2014 - 2015年从“Capitaline Plus”公司数据库中收集了16岁。使用普ic的增值计算智力系数(VAIC)模型计算IC及其组件,并通过资产返回(ROA)测量公司性能。汇总的OLS和STARMILE回归模型都用于测试假设。结果表明,汇总的普通最小二乘回归提供了关于公司IC效率的不完整图片。分数回归结果表明,上方智力资本的积极影响更高。结果还表明,智力资本是一个重要因素,在履行和不良公司之间产生了重要差异。

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