Working capital management efficiency in Indian manufacturing sector: trends and determinants

2015 ◽  
Vol 10 (1) ◽  
pp. 30 ◽  
Author(s):  
Utkarsh Goel ◽  
Anil Sharma
2018 ◽  
Vol 10 (12) ◽  
pp. 135
Author(s):  
Sathyamoorthi C. R. ◽  
Christian J. Mbekomize ◽  
Mogotsinyana Mapharing ◽  
Popo Selinkie

The paper presents the findings of the analysis of the impact of corporate governance mechanisms on working capital management efficiency in the listed companies of the Consumer service sector in Botswana. Eight corporate governance elements and seven working capital components were extracted from the annual reports of a sample of six companies for the period 2012 to 2017 for the analysis. Thirty six observations were obtained. Pearson correlations were executed to determine the relationship between corporate governance elements and working capital components. OLS regression analysis was performed to establish the explaining power of the combination of corporate governance elements on each of the working capital components. The correlation analysis shows that number of non-executive directors has a significant negative but moderate relationship with cash conversion cycle and number of board subcommittees has significant positive but moderate relationship with Debt ratio. The regression results suggest that corporate governance mechanisms have a significant impact on working capital management, the highest impact being reflected on inventory conversion period. The implications of these findings are that boards of directors have a significant role to play in working capital management efficiency of the companies they govern. They should therefore continue providing attainable policies on working capital management and remain vigilant on demanding feedback on their implementations.


2016 ◽  
Vol 13 (3) ◽  
pp. 100-109 ◽  
Author(s):  
Amarjit Gill ◽  
Nahum Biger ◽  
Rajen Tibrewala ◽  
Pradeep Prabhakar

The purpose of this study is to examine the impact of merger on the efficiency of working capital management of American production firms. This study applied a co-relational research design. A sample of 497 listed American production firms for a period of 4 years (from 2010-2014) was analyzed. The findings of this study indicate that mergers may contribute to an improvement of the efficiency of working capital management. This is a co-relational study that investigated the association between merger and working capital management efficiency. There is not necessarily a causal relationship between the two, although the paper provides some conjectures to such relationship. The findings of this study may only be generalized to firms similar to those that were included in this research. This study contributes to the literature on the factors that improve the efficiency of working capital management, and in particular on the association between merger and the efficiency of working capital management. The findings may be useful for financial managers, investors, financial management consultants, and other stakeholders.


Author(s):  
Sajid Iqbal

The study aims of investigate relationship of working capital antecedents and profitability of the company. Seven variables are taken as proxy variable to measure working capital and its management. Population of the study is based on Karachi stock exchange listed companies. The sample of study is manufacturing sector of Pakistan. Thus, sample period contains on the ten years from (2005-2014). All variables have sound reliability and data is normally distributed. Therefore, correlation and regression analyses are applied. Hence, study revealed significant relationship of working capital management and profitability.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Himanshu Seth ◽  
Saurabh Chadha ◽  
Satyendra Sharma

PurposeThis paper evaluates the working capital management (WCM) efficiency of the Indian manufacturing industries through data envelopment analysis (DEA) and empirically investigates the influence of several exogenous variables on the WCM efficiency.Design/methodology/approachWCM efficiency was calculated using BCC input-oriented DEA model. Further, the panel data fixed effect model was used on a sample of 1391 Indian manufacturing firms spread across nine industries, covering the period from 2008 to 2019.FindingsFirstly, the WCM efficiency of Indian manufacturing industries has been stable over the analysis period. Secondly, the capacity to generate internal resources, size, age, productivity, gross domestic product and interest rate significantly influence WCM efficiency.Research limitations/implicationsFirst, the selected study period has observed various economic uncertainties including demonetization and recession, so the scenario might differ in normal conditions or country-wise. Second, the findings might not be generalizable to the developed economies, since the current study sample belongs to a developing economy, which further provides scope for comparative study.Practical implicationsAn efficient model for managing the working capital comprising most vital determinants could enhance the firms' valuation and goodwill. Also, this study would be helpful for financial executives, manufacturers, policymakers, investors, researchers and other stakeholders.Originality/valueThis study estimates the industry-wise WCM efficiency of the Indian manufacturing sector and suggests measures to the concerned parties on areas to focus on and provide evidence on the estimated relationships of firm-level and macroeconomic determinants with WCM efficiency.


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