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Working capital management policies in indian listed firms: a state-wise analysis.

research paper on working capital management in india

1. Introduction

2. literature review, 3. methodology, 3.1. data and sample selection, 3.2. study variables, 3.2.1. dependent variables, 3.2.2. independent variables, 3.2.3. control variables.

  • Firm’s size

3.3. Hypotheses and Models Development

4. results of the study.

  • Descriptive statistics
  • Correlation matrix and multicollinearity test
  • Impact of working capital policies on firms’ profitability

5. Results Discussion

6. conclusions.

  • The study targeted all Indian manufacturing companies across 36 states and union territories which are listed on Bombay Stock exchange.
  • To overcome the problem of heteroscedasticity ROA and FP were transformed by logarithm in the case of Himachal Pradesh, Madhya Pradesh, and Maharashtra data.
  • Differencing the variable by using (d) was used for the following variables: FP in the case of NCT of Delhi and Punjab, firms’ size in the case of Gujarat and FP, and LEVE and firm size in the case of the whole sample.
  • To tackle the presence of autocorrelation ROA was lagged in the case of Rajasthan and FP, IP, and ROA in the case of West Bengal.
  • Breusch–Pagan–Godfreytest was applied to check the presence of hetroscedacity as shown in Table 9 .

Author Contributions

Institutional review board statement, informed consent statement, data availability statement, conflicts of interest.

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Click here to enlarge figure

NoStateNoStateNoStateNoStateNoState
1Andaman & Nicobar Islands8Dadra and Nagar Haveli15Jharkhand22Meghalaya29Rajasthan
2Andhra Pradesh9Daman and Diu16Karnataka23Mizoram30Sikkim
3Arunachal Pradesh10Goa17Kerala24Nagaland31Tamil Nadu
4Assam11Gujarat18Lakshadweep25Nct of Delhi32Telangana
5Bihar12Haryana19Madhya Pradesh26Odisha33Tripura
6Chandigarh13Himachal Pradesh20Maharashtra27Puducherry34Uttarakhand
7Chhattisgarh14Jammu and Kashmir21Manipur28Punjab35Uttar Pradesh
36West Bengal
StateNO FirmsNO ObservationsStateNO FirmsNO ObservationsStateNO FirmsNO Observations
Andhra Pradesh14119Kerala642Rajasthan30210
Dadra & Nagar Haveli1177Madhya Pradesh25175Tamil Nadu76532
Gujarat102714Maharashtra2321624Telangana61427
Haryana35245NCT of Delhi73511Uttar Pradesh32224
Himachal Pradesh1070Odisha1284West Bengal51357
Karnataka33231Punjab26182Total8295803
StateVariableMinimumMaximumMeanStd. DeviationStateVariableMinimumMaximumMeanStd. Deviation
ROA−35.8929.344.319.90 ROA−20.3828.783.114.63
FP0.080.780.350.14FP0.000.830.390.17
IP0.080.890.490.20IP0.050.960.520.19
LEV0.0132.582.054.60LEV0.0029.541.191.77
SIZE2.214.563.440.58SIZE1.266.063.410.83
AGE18.0070.0032.0013.45AGE6.00128.0029.3714.60
ROA−12.9010.822.473.88 ROA−9.3010.942.184.11
FP0.180.710.440.12FP0.150.700.340.12
IP0.180.910.540.18IP0.090.850.460.19
LEV0.059.251.501.20LEV0.2011.901.452.31
SIZE2.415.573.520.82SIZE2.004.773.440.88
AGE14.0057.0030.4511.97AGE20.0070.0041.8316.67
ROA−35.0727.644.095.87 ROA−18.0423.991.705.87
FP0.060.890.380.15FP0.060.720.370.15
IP0.140.950.530.17IP0.090.900.460.20
LEV0.00120.491.464.65LEV0.02133.002.7810.15
SIZE1.685.323.370.83SIZE2.124.893.620.70
AGE12.0098.0030.7314.70AGE11.0074.0032.8813.40
ROA−29.7737.092.775.76 ROA−12.4924.644.295.31
FP0.070.770.420.17FP0.080.750.360.14
IP0.060.880.480.20IP0.190.960.510.16
LEV0.0164.171.995.51LEV0.034.521.511.11
SIZE1.535.833.470.86SIZE2.205.053.500.72
AGE17.00115.0034.9418.22AGE6.0079.0033.5015.02
ROA−44.6214.221.007.51 ROA−26.9822.132.325.99
FP0.120.610.370.11FP0.030.910.400.15
IP0.120.790.430.16IP0.100.920.470.17
LEV0.0243.212.535.54LEV0.00664.755.2234.88
SIZE2.753.893.300.33SIZE1.845.193.570.68
AGE7.0037.0028.407.18AGE5.00107.0037.5319.08
ROA−39.7326.423.018.01 ROA−34.6734.233.086.75
FP0.020.740.360.16FP0.000.960.360.17
IP0.080.810.450.18IP0.000.900.500.18
LEV0.0139.681.212.81LEV0.0068.981.574.73
SIZE1.995.633.720.80SIZE1.315.283.290.77
AGE12.0074.0032.9114.70AGE4.0071.0028.0810.83
ROA−9.5828.333.688.63 ROA−27.2832.293.615.52
FP0.100.820.370.20FP0.070.710.380.14
IP0.100.830.500.22IP0.190.920.520.17
LEV0.026.742.142.06LEV0.069.011.311.26
SIZE2.043.843.120.52SIZE1.955.773.660.89
AGE6.0054.0027.0013.58AGE11.0086.0035.0916.08
ROA−54.4314.712.476.14 ROA−35.0730.942.386.81
FP0.021.310.420.17FP0.010.830.370.17
IP0.240.860.610.16IP0.020.900.480.18
LEV0.0557.191.695.18LEV0.0058.751.734.05
SIZE1.685.313.030.74SIZE1.685.743.650.75
AGE12.0072.0029.3213.55AGE7.00117.0047.8827.28
ROA−50.8747.103.566.86 ROA−54.4347.103.196.39
FP0.000.880.370.16FP0.001.310.380.16
IP0.000.970.520.18IP0.000.970.510.18
LEV0.00249.541.597.94LEV0.00664.751.9311.93
SIZE1.566.743.610.88SIZE1.536.743.500.83
AGE3.00154.0040.5623.67AGE3.00154.0035.5319.58
StateROAFPIPLEVSIZEAGEStateROAFPIPLEVSIZEAGE
Andhra PradeshROA1 NCT of DelhiROA1
FP−0.205 *1.00 FP−0.0131
IP0.536 **0.233 *1.00 IP−0.0270.450 **1
LEV−0.340 **0.251 *−0.361 **1.00 LEV−0.099 *0.369 **0.126 **1
SIZE0.342 **−0.402 **−0.344 **−0.091.00 SIZE0.254 **0.235 **−0.093 *0.0611
AGE−0.111−0.11−0.180.020.278 **1.00AGE−0.123 **0.106 *0.138 **0.0780.185 **1
VIF1.341.471.361.391.09VIF1.581.361.171.161.07
Dadra & Nagar HaveliROA1 OdishaROA1
FP−0.403 **1.00 FP−0.326 **1
IP−0.241 *0.827 **1.00 IP−0.1090.7000**1
LEV−0.497 **0.12−0.151.00 LEV−0.0560.249 *.1771
SIZE−0.126−0.13−0.256 *0.624 **1.00 SIZE0.301 **−0.630 **−0.637 **−0.238 *1
AGE−0.292 **0.657 **0.535 **−0.01−0.071.00AGE0.180−0.289 **−0.318 **−0.1340.792 **1
VIF5.244.002.121.791.83VIF2.472.371.086.003.53
GujaratROA1 PunjabROA1
FP−0.299 **1.00 FP−0.266 **1
IP−0.0020.573 **1.00 IP0.160 *0.1401
LEV−0.355 **0.154 **0.041.00 LEV−0.247 **0.178 *−0.1151
SIZE0.064−0.232 **−0.418 **0.099 **1.00 SIZE0.0370.046−0.349 **0.1201
AGE−0.001−0.221 **−0.235 **−0.060.204 **1.00AGE−0.0890.0180.0390.204 **−0.0831
VIF1.551.721.051.251.09VIF1.071.191.111.171.06
HaryanaROA1 RajasthanROA1
FP−0.238 **1.00 FP−0.336 **1
IP−0.0530.767 **1.00 IP−0.0360.612 **1
LEV−0.253 **0.08−0.021.00 LEV−0.354 **0.423 **−0.0561
SIZE0.0510.02−0.161 *0.199 **1.00 SIZE0.302 **−0.134−0.443 **0.0961
AGE−0.0360.350 **0.257 **−0.010.319 **1.00AGE0.015−0.048−0.349 **0.1150.491 **1
VIF2.692.661.071.281.31VIF2.542.571.511.501.39
Himachal PradeshROA1 Tamil NaduROA1
FP−0.1741.00 FP−0.241 **1
IP0.1370.589 **1.00 IP0.0800.549 **1
LEV−0.1500.230.438 **1.00 LEV−0.204 **0.078−0.0471
SIZE−0.028−0.11−0.130.121.00 SIZE0.257 **−0.176 **−0.388 **−0.0571
AGE0.399 **−0.050.160.020.131.00AGE−0.035−0.244 **−0.221 **0.0700.361 **1
VIF1.581.981.301.091.10VIF1.511.671.041.331.21
KarnatakaROA1 TelanganaROA1
FP−0.318 **1.00 FP−0.152 **1
IP0.243 **0.369 **1.00 IP0.166 **0.465 **1
LEV−0.220 **0.352 **−0.021.00 LEV−0.160 **0.273 **0.0441
SIZE0.0600.090.131 *0.031.00 SIZE0.348 **0.028−0.088−0.0491
AGE−0.035−0.060.040.200 **0.031.00AGE0.117 *−0.111 *0.024−0.136 **0.239 **1
VIF1.401.221.261.021.08VIF1.421.321.101.091.10
KeralaROA1 Uttar PradeshROA1
FP−0.2031.00 FP−0.318 **1
IP0.341 *0.530 **1.00 IP0.0010.709 **1
LEV−0.431 **0.07−0.568 **1.00 LEV−0.358 **0.258 **−0.137 *1
SIZE0.217−0.461 **−0.380 *−0.348 *1.00 SIZE−0.123−0.267 **−0.512 **0.166 *1
AGE0.333 *−0.336 *0.22−0.460 **0.161.00AGE−0.144 *−0.080−0.191 **−0.0250.1251
VIF2.644.265.422.401.54VIF2.793.241.391.391.06
Madhya PradeshROA1 West BengalROA1
FP−0.360 **1.00 FP−0.314 **1
IP0.0290.455 **1.00 IP0.153 **0.571 **1
LEV−0.0450.07−0.141.00 LEV−0.295 **0.191 **0.0121
SIZE0.149 *0.05−0.434 **0.101.00 SIZE0.298 **−0.166 **−0.141 **0.160 **1
AGE−0.005−0.158 *−0.218 **−0.070.503 **1.00AGE0.105 *−0.0240.0690.0900.289 **1
VIF1.501.781.061.841.44VIF1.601.531.101.161.11
MaharashtraROA1 all statesROA1
FP−0.275 **1.00 FP−0.251 **1
IP0.110 **0.491 **1.00 IP0.103 **0.507 **1
LEV−0.159 **0.112 **0.021.00 LEV−0.137 **0.085 **−0.0171
SIZE0.133 **−0.160 **−0.338 **−0.041.00 SIZE0.113 **−0.14 **−0.27 **0.0071
AGE0.001−0.129 **−0.152 **−0.040.373 **1.00AGE−0.003−0.08 **−0.08 **0.0170.31 **1
VIF1.341.451.021.281.17VIF1.431.491.021.191.12
StateTest Cross-Section Fixed EffectsTest Period Fixed EffectsStateTest Cross-Section Fixed EffectsTest Period Fixed Effects
Chi-Square Prob.Chi-Square Prob.Chi-Square Prob.Chi-Square Prob.
Andhra Pradesh65.130.005.500.48NCT of Delhi341.450.003.820.58
Dadra & Nagar Haveli55.930.002.520.87Odisha73.320.007.530.27
Gujarat508.930.002.460.78Punjab115.960.0011.040.05
Haryana175.240.007.860.25Rajasthan74.940.0015.580.01
Himachal Pradesh15.690.0710.270.11Tamil Nadu296.200.0012.320.06
Karnataka188.740.008.710.19Telangana233.960.0011.750.07
Kerala43.510.003.920.69Uttar Pradesh123.330.008.790.19
Madhya Pradesh80.760.0013.990.03West Bengal39.970.8411.520.04
Maharashtra1167.480.0048.660.00all states2448.880.000.730.98
StateProb.Fixed/RandomStateProbFixed/RandomStateProb.Fixed/Random
Andhra Pradesh0.02FixedKerala0.00FixedRajasthan0.00Fixed
Dadra & Nagar Haveli0.51RandomMadhya Pradesh0.00FixedTamil Nadu0.00Fixed
Gujarat0.00FixedMaharashtra0.00FixedTelangana0.00Fixed
Haryana0.01FixedNCT of Delhi0.03FixedUttar Pradesh0.05Random
Himachal PradeshNAPooledOdisha0.10RandomWest Bengal0.36Random
Karnataka0.06RandomPunjab0.00Fixedall states0.00Fixed
FP−20.350.00FP−12.990.22FP−13.320.00
IP45.140.00IP28.640.08IP18.840.00
LEVE0.390.01LEVE−0.060.96LEVE−0.010.36
SIZE25.400.00SIZE5.750.84SIZE6.910.00
AGE−0.540.09AGE−0.270.75AGE−0.320.00
C−81.710.00C−6.060.81C−13.710.07
R-squared0.82R-squared0.78R-squared0.59
Adjusted R-squared0.78Adjusted R-squared0.71Adjusted R-squared0.51
Prob(F-statistic)0.00Prob(F-statistic)0.00Prob(F-statistic)0.00
Durbin-Watson stat2.18Durbin-Watson stat1.87Durbin-Watson stat1.64
FP−10.760.07FP−11.190.14FP−21.740.00
IP1.230.81IP13.510.01IP28.150.00
LEVE−1.460.00LEVE−0.140.18LEVE0.010.85
SIZE0.150.89SIZE7.070.12SIZE9.300.00
AGE−0.030.65AGE−1.020.00AGE−0.630.00
C9.160.04C6.420.57C−15.860.04
R-squared0.35R-squared0.41R-squared0.57
Adjusted R-squared0.30Adjusted R-squared0.29Adjusted R-squared0.49
Prob(F-statistic)0.00Prob(F-statistic)0.00Prob(F-statistic)0.00
Durbin-Watson stat1.65Durbin-Watson stat1.85Durbin-Watson stat1.92
FP−10.930.00FP−0.120.00FP−20.340.00
IP19.000.00IP0.110.00IP13.140.00
LEVE−27.680.00LEVE0.000.00LEVE−0.960.01
D(SIZE)11.090.00SIZE0.070.00SIZE−0.170.81
AGE0.090.30AGE0.000.90AGE−0.050.13
C16.850.00C1.610.02C8.340.02
R-squared0.73R-squared0.60R-squared0.19
Adjusted R-squared0.67Adjusted R-squared0.53Adjusted R-squared0.17
Prob(F-statistic)0Prob(F-statistic)0.00Prob(F-statistic)0.00
Durbin-Watson stat1.50Durbin-Watson stat1.72Durbin-Watson stat1.70
FP−25.030.00D(FP)−3.260.15D(FP)−13.780.00
IP24.440.00IP4.860.06D(IP)10.820.00
LEVE−0.110.07LEVE−1.000.00LEVE−0.060.27
SIZE0.280.94SIZE0.710.71SIZE−0.050.88
AGE−0.310.05AGE0.090.40AGE0.010.21
C11.640.26C−3.790.51C−0.900.44
R-squared0.59R-squared0.61R-squared0.10
Adjusted R-squared0.51Adjusted R-squared0.52Adjusted R-squared0.09
Prob(F-statistic)0.00Prob(F-statistic)0.00Prob(F-statistic)0.00
Durbin-Watson stat1.73Durbin-Watson stat1.68Durbin-Watson stat2.14
ROTA(−1)0.140.05
FP−0.180.09FP−20.260.00FP−7.600.05
IP0.180.03IP13.990.00IP−1.390.76
LEVE0.000.14LEVE−0.300.29LEVE−1.160.07
SIZE0.000.99SIZE3.310.09SIZE−0.600.87
AGE0.000.88AGE−0.130.16AGE0.100.61
C1.560.00C−2.780.64C7.420.39
R-squared0.24R-squared0.23R-squared0.79
Adjusted R-squared0.16Adjusted R-squared0.18Adjusted R-squared0.74
Prob(F-statistic)0.01Prob(F-statistic)0.00Prob(F-statistic)0.00
Durbin-Watson stat1.64Durbin-Watson stat1.91Durbin-Watson stat1.69
Variable
FP−26.340.00D(FP)−25.440.00D(FP)−11.520.00
IP19.310.00IP9.910.21IP14.650.00
LEVE−0.020.87LEVE−0.020.50D(LEV)−0.090.00
SIZE−0.280.81SIZE5.250.32D(SIZE)17.820.00
AGE−0.110.09AGE0.300.18AGE−0.040.39
C8.130.10C−32.310.07C-3.430.08
R-squared0.21R-squared0.63R-squared0.6832
Adjusted R-squared0.19Adjusted R-squared0.54Adjusted R-squared0.6191
Prob(F-statistic)0.00Prob(F-statistic)0.00Prob(F-statistic)0
Durbin-Watson stat1.49Durbin-Watson stat2.32Durbin-Watson stat1.6646
Authors Firms’ Profitability
PositiveNegativeStudy’s ResultConsistentContradicted
Afza and Nazir [ ] in PakistanFinancing policy Negative
Weinraub and Visscher [ ] in Iran
Vahid et al. [ ] in Iran
Khan et al. [ ] in Pakistan
Vahid et al. [ ] in IranInvesting policy Positive
Khan et al. [ ] in Pakistan
Tauringana and Afrifa [ ]
ALShubiri [ ]
StateProb. Chi-SquareStateProb. Chi-SquareStateProb. Chi-Square
Andhra Pradesh0.7135Kerla0.0522Rajasthan0.2325
Dadra and Nagar Haveli0.4019Madhya Pradesh0.3975Tamil Nadu0.0596
Gujarat0.0853Maharashtra0.7254Telangana0.4509
Haryana0.864Nct of Delhi0.1402Uttar Pradesh0.0644
Himachal Pradesh0.1152Odisha0.0648West Bengal0.2476
Karnataka0.5357Punjab0.4278all states0.2845
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Farhan, N.H.S.; Almaqtari, F.A.; Al-Matari, E.M.; SENAN, N.A.M.; Alahdal, W.M.; Hazaea, S.A. Working Capital Management Policies in Indian Listed Firms: A State-Wise Analysis. Sustainability 2021 , 13 , 4516. https://doi.org/10.3390/su13084516

Farhan NHS, Almaqtari FA, Al-Matari EM, SENAN NAM, Alahdal WM, Hazaea SA. Working Capital Management Policies in Indian Listed Firms: A State-Wise Analysis. Sustainability . 2021; 13(8):4516. https://doi.org/10.3390/su13084516

Farhan, Najib H. S, Faozi A. Almaqtari, Ebrahim Mohammed Al-Matari, Nabil Ahmed M. SENAN, Waleed M. Alahdal, and Saddam A. Hazaea. 2021. "Working Capital Management Policies in Indian Listed Firms: A State-Wise Analysis" Sustainability 13, no. 8: 4516. https://doi.org/10.3390/su13084516

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Working capital management and profitability: evidence from Indian manufacturing companies

  • Research Paper
  • Published: 25 May 2014
  • Volume 41 , pages 313–326, ( 2014 )

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research paper on working capital management in india

  • Monica Singhania 1 ,
  • Navendu Sharma 2 &
  • J. Yagnesh Rohit 2  

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The purpose of this paper was to examine the relationship between working capital management strategies of a firm and its profitability. We also make an attempt to understand the impact of the global macroeconomic conditions on this relationship. We apply correlation analysis and fixed effects estimation on our sample of Indian manufacturing companies. Cash conversion cycle has been utilized as a measure of the working capital management, whereas gross operating profit is used as a proxy for a firm’s profitability. Furthermore, interactive dummies are utilized to investigate the impact of global macroeconomic conditions on the relationship under consideration. The results reveal that cash conversion cycle of a company has a negative correlation with its profitability. Our results also suggest that managers can improve the performance by decreasing the number of days receivables and increasing the number of days payables. Furthermore, our outcomes demonstrate that the working capital strategies should be formulated taking global macroeconomic conditions into consideration. The findings highlight the importance of efficient working capital management practices to improve the profitability of companies.

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The initial sample of data comprised 172 manufacturing firms listed on the BSE 500 index. To analyze a balanced data set, firms with missing relevant financial information for this period were excluded. Hence, the final data sample consisted of 82 firms.

For example: The critical value for a 1 % test with (3,646) degrees of freedom is 3.78. The F-value for model 1 is 18.1632. Hence, we select the unrestricted model with interactive dummies.

For example: In the case of Model 1, the Chi-squared statistic is 37.5555 with a P value of 0.000.

The results obtained for this model can be provided on request.

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Singhania, M., Sharma, N. & Yagnesh Rohit, J. Working capital management and profitability: evidence from Indian manufacturing companies. Decision 41 , 313–326 (2014). https://doi.org/10.1007/s40622-014-0043-3

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Working capital management: a literature review and research agenda

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Working capital management practices in India: survey evidence

Research output : Contribution to journal › Article › Research › peer-review

Purpose: The purpose of this paper is to investigate the working capital management (WCM) practices adopted by Indian firms listed on the National Stock Exchange (NSE). Design/methodology/approach: Using a questionnaire, the authors gather data from 110 financial managers and use various statistical techniques to test for statistical significance. Findings: The evidence shows that the majority (54.5 percent) of sample firms follow a moderate approach in financing their activities, which involves a trade-off between liquidity and profitability. Respondents tend to use an informal approach for WCM and consider receivables management as the most important component of WCM. In terms of WCM monitoring and financial measures, respondents mainly consider the cash conversion cycle and net working capital. Indian firms tend to use centralized cash management and rely heavily on material requirement planning (MRP) and enterprise resource planning (ERP) for proper inventory management. Research limitations/implications: Tests involving firm size, foreign sales, and average age do not differ significantly between the NSE-listed firms and the sample firms. This evidence lessens concerns of non-response bias and the ability to generalize the findings to Indian firms. Originality/value: By updating and extending previous research on WCM, this study fills a gap in the literature by providing insights into practices adopted by Indian firms in managing WCM and its components.

Original languageEnglish
Pages (from-to)331-353
Number of pages23
Journal
Volume43
Issue number3
DOIs
Publication statusPublished - 2017
  • Indian firms
  • Survey research
  • Working capital management

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  • 10.1108/MF-07-2016-0186

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T1 - Working capital management practices in India

T2 - survey evidence

AU - Baker, H. Kent

AU - Kumar, Satish

AU - Colombage, Sisira

AU - Singh, Harsh Partap

N2 - Purpose: The purpose of this paper is to investigate the working capital management (WCM) practices adopted by Indian firms listed on the National Stock Exchange (NSE). Design/methodology/approach: Using a questionnaire, the authors gather data from 110 financial managers and use various statistical techniques to test for statistical significance. Findings: The evidence shows that the majority (54.5 percent) of sample firms follow a moderate approach in financing their activities, which involves a trade-off between liquidity and profitability. Respondents tend to use an informal approach for WCM and consider receivables management as the most important component of WCM. In terms of WCM monitoring and financial measures, respondents mainly consider the cash conversion cycle and net working capital. Indian firms tend to use centralized cash management and rely heavily on material requirement planning (MRP) and enterprise resource planning (ERP) for proper inventory management. Research limitations/implications: Tests involving firm size, foreign sales, and average age do not differ significantly between the NSE-listed firms and the sample firms. This evidence lessens concerns of non-response bias and the ability to generalize the findings to Indian firms. Originality/value: By updating and extending previous research on WCM, this study fills a gap in the literature by providing insights into practices adopted by Indian firms in managing WCM and its components.

AB - Purpose: The purpose of this paper is to investigate the working capital management (WCM) practices adopted by Indian firms listed on the National Stock Exchange (NSE). Design/methodology/approach: Using a questionnaire, the authors gather data from 110 financial managers and use various statistical techniques to test for statistical significance. Findings: The evidence shows that the majority (54.5 percent) of sample firms follow a moderate approach in financing their activities, which involves a trade-off between liquidity and profitability. Respondents tend to use an informal approach for WCM and consider receivables management as the most important component of WCM. In terms of WCM monitoring and financial measures, respondents mainly consider the cash conversion cycle and net working capital. Indian firms tend to use centralized cash management and rely heavily on material requirement planning (MRP) and enterprise resource planning (ERP) for proper inventory management. Research limitations/implications: Tests involving firm size, foreign sales, and average age do not differ significantly between the NSE-listed firms and the sample firms. This evidence lessens concerns of non-response bias and the ability to generalize the findings to Indian firms. Originality/value: By updating and extending previous research on WCM, this study fills a gap in the literature by providing insights into practices adopted by Indian firms in managing WCM and its components.

KW - Indian firms

KW - Survey research

KW - Working capital management

UR - http://www.scopus.com/inward/record.url?scp=85016590419&partnerID=8YFLogxK

U2 - 10.1108/MF-07-2016-0186

DO - 10.1108/MF-07-2016-0186

M3 - Article

AN - SCOPUS:85016590419

SN - 0307-4358

JO - Managerial Finance

JF - Managerial Finance

Role of working capital management in profitability considering the connection between accounting and finance

Asian Journal of Accounting Research

ISSN : 2459-9700

Article publication date: 25 August 2020

Issue publication date: 7 December 2020

The study aims to explain the relationship between accounting and finance through measuring the effect of rational working capital management on profitability.

Design/methodology/approach

Employing the methodology of semi-structured interviews with sixteen financial managers.

The findings pointed out the relationship between accounting and finance is complementary, since it supports the accountant by the critical skills and information, like project evaluation, managing the company funding resources and working capital management. These skills put the accountant up to the financial manager stage. The working capital investment and financing policies have the most significant impact on profitability. These policies related to risk and return theory; since the conservative policy will reduce both the risk and return and the aggressive one will have the opposite impact.

Originality/value

It recommends accountants to be in professional stage and increase the profitability of the company to grab both accounting and finance information and skills.

  • Working capital
  • Profitability
  • M4 Accounting and Auditing

Morshed, A. (2020), "Role of working capital management in profitability considering the connection between accounting and finance", Asian Journal of Accounting Research , Vol. 5 No. 2, pp. 257-267. https://doi.org/10.1108/AJAR-04-2020-0023

Emerald Publishing Limited

Copyright © 2020, Amer Morshed

Published in Asian Journal of Accounting Research . Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

1. Introduction

Despite the strong correlation between accounting and finance, each of them influences the management of operations in a different direction ( Brief and Peasnell, 2013 ). This link leads some people, who are not experienced and do not have the relevant knowledge, to confuse these two terms and connect some unrelated job duties to accountants ( Droms and Wright, 2010 ). Cleary and Quinn (2016) mentioned that accounting is an essential component of financing operations since finance is a term that includes accounting information.

Thus, the information provided by accountants is the primary element in decisions made by managers in general and financial managers in particular. However, in this context, Fields (2016) added that financing incorporates more subjects than only accounting. It contains statistics, economics, mathematics and any matters which are required for financing.

The main objective of the company, in common, is to achieve the most significant profits. The company aims to gain the maximum profit, and this can be done by multiplying the volume of production or the operation. One of the essential portions of production, trading and providing service is the working capital. Therefore, companies provide liquidity for working capital to achieve business continuity. In obtaining the purposes of the company, most often, business and financial directors are entitled to implement relevant working capital management policies. These policies are needed for financing because errors in working capital management may lead the commercial operations to withdrawn. Consequently, the sequence follows up on the status of working capital. It is significant and in touch with the entire business position ( Muhammad et al. , 2016 ).

Accordingly, the study aims to explain the relationship between accounting and finance through measuring the effect of rational working capital management on profitability and discussing the financial managers' responsibility. This article applies different procedures than those applied by other studies related to working capital management. The methodology adopts the qualitative method by conducting interview via Skype with financial managers from various territories in Europe and Asia to collect the data. These data reflect the best practices of working capital management from different economies, industries and sizes of capital. Hence, the results will be more generalisable.

The article found that the corporate finance skills put the accountant up to the financial manager stage. The working capital models play a significant role in advancing the profitability. Moreover, investment and financing policies have a substantial impact on profitability. These policies are related to risk and return theory since the balance between conservative and aggressive policies will contribute positive results.

Section 2 discusses a literature review of the working capital management. Section 3 discusses the methodology. Section 4 is the findings and discussion. In the end, Section 5 points out the conclusion.

2. Literature review

Explaining the profitability importance, Cakici et al. (2017) concluded that the companies use profitability as one of the four segments applied for the analysis of financial statements and performance. The other three are efficiency, solvency and market prospects. Managers, creditors and investors use these crucial impressions to analyse the company performance and its future potential if operations are suitably achieved. Vintilă and Nenu (2016) added that resources such as cash, overdraft and liabilities are used to cover the variable and fixed costs of the production process and to purchase the stock for resale operations. Profitability is the relationship between revenue and expenses and how well the company is performing and the potential future growth of the company and how it manages its working capital.

To explore the working capital management's effects on the profitability, Anwar (2018) examined the influence of the length of the operation cycle and the turnover of receivables and inventory on the profitability index of listed firms in Indonesia. The article concluded that reducing the turnover of both receivables and inventory leads to a decrease in the operation cycle and an increase the companies' profitability. Lazaridis and Tryfonidis (2006) reached results which show a relation between profitability and the operating cycle. Further, directors are able to generate gains for their businesses by controlling the operating cycle carefully and maintaining every different factor of the working capital to the most appropriate level. Pais and Gama (2015) pointed out many outcomes that inform the drop in the period of collecting the trade receivables and the rise in the number of days to settle their commercial liabilities are related to higher profitability. Additionally, the profitability is also an advance in return on assets with a reduction of the working capital amount.

The role of working capital management policies arose when Padachi (2006) concluded that excellent working capital control and policy affect the formulation of a company's value. This conclusion came from the investigation of the working capital control policy objectives and its relation to companies' achievement and profitability. This was done by applying statistical methods using the return on total assets ratio. The results show that focussing heavily on investments in high capital causes low profitability ratios. Muhammad et al. (2016) added that firms can use working capital management, which is one of the essential determinants to influence their profitability. The result reveals that there is an association between working capital elements and profitability. This is defined as the increase in the cash conversion cycle influences the profitability negatively. Additionally, directors can produce a definite amount for the company by minimising the cash conversion cycle at the most suitable level and performing a proper working capital policy and by taking care of each element of it at a sharp level. The findings of the study of Singh et al. (2017) confirmed that working capital management is linked with profitability, which indicates that aggressive working capital investment and finance policies drive higher profitability. Moreover, the cash conversion cycle is observed to be related to profitability negatively. The paper examined the working capital management variations and profitability by analysing the connection among changes in working capital management and firm profitability.

The previous literature review provides evidence of the significant roles of working capital management on the accounting profitability and assures that both accounting and finance are strongly associated. This article will apply different procedures than those applied in other studies related to working capital management to provide a deep discussion of the role of working capital management in profitability with the connection between accounting and finance.

3. The methodology

Aiming to approach practical information related to the study purpose and find practical generalised implications, this paper examines the opinions of interviewees gathered from semi-structured interviews with a group of participants consisting of sixteen financial managers. All the interviewed persons are actively involved in the financial decisions of their companies. Those interviewed found a strong desire to study objects and thus produced a fruitful penetration in this article. The respondents were selected depending on the country, industry and the size of capital as in the following table (see Table 1 ):

The researcher conducted semi-structured interviews to gain relevant data for the research objective. The meetings were carried within a reasonably free connection. Therefore, some questions proposed were not planned. Only the main questions to start the conversation were planned.

Numerous questions were automatically asked through the interview, providing elasticity to both the interviewer and the participant. This elasticity helped to examine and explain additional features or to recognise other vital details. This is unlike a structured interview, where questions are designed and arranged beforehand.

The key questions of the interviews were:

Do you find corporate finance important to accounting?

How do working capital management models improve profitability?

How do working capital management policies affect the profitability?

The meetings were in the structure of a dialogue. The interviews were conducted via Skype during the period of May 2019 until February 2020. The meetings were in Arabic and English, and the Arabic interviews were translated into English. They were recorded, transcribed and coded manually by the researcher. Finally, the researcher compared the interview proceeds with related literature in order to find the results.

The method proceeded by including the analysis of discussion records and applying qualitative coding and manual recoding by the researcher. This technique depends on the researcher's qualifications of the subject since the researcher has an eleven years' experience in accounting and auditing and, additionally, professional certificates in accounting.

4. Findings and implications

For the purpose of exploring the connection between the accounting and finance, the conversation started by the question:

4.1 Do you find corporate finance important to accounting?

If you do not understand how to use corporate finance, you will pass as a simple accountant. It is called financial management. How can any manager take a financial decision without it?.

Accordingly, using hermeneutic analysis, financial management supports and advances the accountant to be a financial manager.

I have completed my master's degree in accounting and finance, and there were two compulsory subjects related to corporate finance. There are many universities that have departments named finance and accounting, that means the instructors have information on both accounting and finance.
I am a CMA holder; the second part of this certificate is ultimately about corporate finance. The association of chartered certified accountant providing the ACCA, and this certificate include two critical papers about corporate finance which are financial management and advanced financial management.

These abstracted sentences provide tangible evidence for the connection between accounting and finance. This realisation came from the point that professional accounting bodies consider financial management as an essential part in their certifications.

On the other hand, the participants provided valuable information related to accounting education. Universities provide the junior accountant to the market. Therefore, they should consider the financial management as a vital part of the accounting curriculum that improves the new graduates' skills.

Investment decision skills

The previous literature shows that investment decision skills are essential for the accountant to be a financial manager. They point out some of these skills, like the net present value (NPV), internal rate of return (IRR), payback method and the equivalent annual cost method ( Gardiner and Stewart, 2000 ; Hung and Liu, 2005 ; Daunfeldt and Hartwig, 2014 ).

Imaging yourself in a meeting with the CEO, and he asks you to appraise a project. Without investment appraisal skills, you are in an embarrassing situation. As a financial manager at a manufacturing company, I have to decide when the underlying machine should be replaced. Therefore, I use the equivalent annual cost method since it could be applied to compute a maximum replacement cycle.
Where I work, we do many projects in one year, and it is essential to predict the profitability of these projects and the time when the initial cost payback, so you have to be familiar with the NPV and payback methods.
I know many accountants are still doing the usual accounting occupation since they do not have investment appraisal skills like NPV and IRR.

(2)Funding from external sources

Many ways to source funds from external resources were mentioned during conversations, like bonds, deep discount bonds, convertible bonds and long-term bank loans ( Kiyama and Rios-Aguilar, 2017 ).

It is valuable to each accountant to be a professional financial manager to know how he can find the sources of funds for the company; especially the external funds. There are many types of funds available for any firm; some of them are internal and others are external, but the vital thing for the financial decision is the gearing. If you are a professional financial manager, you have to keep the WACC in optimal value.

The researcher, using hermeneutic analysis with meeting proceeds, found that gearing and capital structure have a vital impact on profitability. Four theories explain this impact. The quoted sentences were identical to the literature. Therefore, both were combined to avoid redundant wording.

Traditional view: Under the traditional view, the ideal capital combination leads to minimising the average cost of capital. The cost of debt remains fixed up to a particular percentage of gearing. Passing this scale leads to a higher debt cost. The financial risk increase if gearing raises this relationship causes the equity cost to increase ( Berry et al. , 1993 ).

Modigliani and Miller (MM): The firm operating level and its profits only specify the market value of the firm in the position of no tax. The risk is attached to these profits, so there is no relation to the gearing. In the case of tax, a high level of gearing decreases the cost of capital since the interest is taxable. ( Brusov et al. , 2011 ).

Market imperfections: In a high level of gearing, the company is unable to perform its interest obligation, leading to bankruptcy ( Sanstad and Howarth, 1994 ).

Pecking order theory: Firms favour retained earnings as the optimal source of finance and then straight debt, convertible debt, preference shares and equity shares ( De Jong et al. , 2011 ).

To discuss the second key question:

4.2 How do working capital management models improve profitability?

The participators mentioned that working capital management deals with the root of the operation and the daily transactions that include cash, receivables, trade payables and inventory.

Da Costa Moraes et al. (2015) and Righetto et al. (2016) mentioned that the Baumol model and the Miller–Orr model are critical to run the cash in the optimal value to keep the liquidity and earn a profit.

(4)Inventory

Previous studies mentioned the impact of inventory management on profitability and showed that models are being used to improve inventory management.

Economic order quantity:

The professional stock administration can be divided into three sections: (EOQ), discounts for bulk purchases, it could be more economical to purchase inventories in significant order quantities to achieve discounts, buffer inventories to reduce the stock-out risk.
(EOQ) is the ordering amount for an inventory item which reduces the costs of stocking and damage.

Just-in-time system:

(5)Accounts receivable

Braun et al. (2018) supported that a higher balance of bad debt improves sales size. Given that, when the progress of the sales passes the total addition to the cost of fixed expenses and bad debts and discounts, the policy of mitigating credit requirements is profitable.

Providing credit possesses a cost; the amount of the interest imposed on an overdraft to finance the credit time; additionally, the not collected cash misses the interest of the bank deposit. Improvement in profit of increased sales following from granting credit could balance this loss.

One of the methods mentioned to keep the accounts receivable as a profitable behaviour is a credit rating system.

Credit score:

Ajanaku and Ekundayo (2017) and Richard and Kabala (2019) mentioned that points are granted according to client efficiency components, the credit amount relay on their credit score.

The interviews contributed that “the institution may establish a credit rating scheme for different customers based on personal client characteristics (such as whether the client is the owner of a state, the customer, age and profession).”

The second method is factoring; it was coded from the transcript of many interviews.

Factoring is an agreement to possess debts gathered by a factoring firm, which prepays a balance of the money it is due to settle ( Van der Vliet et al. , 2015 ).

(6)Trade accounts payable

Attempting to receive a satisfying credit of suppliers. Endeavouring to enlarge credit times of cash deficit. Keeping relations with frequent and significant suppliers.

Accordingly, the researcher comprehended from the interviews that these models of working capital management are effective since almost the entire sample apply them.

The third key question during the meetings was:

4.3 How do working capital management policies affect the profitability?

(7)Working capital investment policy

Organisations must ascertain the significant risks linked to working capital and hence whether to adopt a conservative, aggressive or moderate method to investing in working capital.

The conservative working capital investment policy aims to decrease the risk of operation failure by maintaining high levels of working capital.

The aggressive working capital investment strategy aims to overcome this financing cost and improve profitability. That could be by using the method of lowering inventories, advancing recovering credit time of customers and lingering instalments to suppliers.

(8)Working capital financing policy

Working capital financing policies are divided into conservative, aggressive and moderate approaches to financing working capital. It is classified according to the size of working capital financing from short-term assets and long-term assets ( Mohamad and Saad, 2010 ; Wasiuzzaman and Arumugam, 2013 ; Kwenda and Holden, 2014 ).

Almost all the participators expressed the opinion “the relation between the selected policy and the profitability is ‘high-risk, high-return’”. That means that aggressive policies increase profitability. This opinion is supported by ( Pais and Gama, 2015 ; Baños-Caballero et al. , 2016 ; Gonçalves et al. , 2018 ; Chand et al. , 2019 ).

On the other hand, opinions expressed based on practical experiences prefer the moderate policies, “moderate policies meet the targets of higher profitability, that come by avoiding risk losses.” This opinion could be supported by studies by Sharma and Kumar (2011) and Abuzayed (2012) showing a positive relationship between an increasing cash conversion cycle (CCC) and increased profitability, since the increase in the CCC means moves to moderate and conservative policies.

5. Conclusion

The results of the conversations support the literature review of the article. There is consistency between what the participants contributed and the previous studies interpreted. This consistency provides results that the relation between accounting and finance is vital. It can be described as a complementary relationship.

The financial manager starts as an accountant. By getting experience, he can make critical accounting decisions. When he gains corporate finance knowledge and skill, he starts providing financial management decisions. Ultimately, by the continuous improvement in finance management and the experience, he achieves the position of the chief financial manager.

On the other hand, the relationship between working capital management and profitability is similar to the relationship between finance and accounting in many aspects. For example, the accountant needs to be familiar with financial models which provide practical methods to handle working capital elements like cash and inventory.

Additionally, many strategies can help them to manage the accounts receivable to avoid more interest that arises from the cash matching and to decrease the bad debt expense. All of the methods mentioned contribute to avoiding expenses to gain the maximum profit.

The working capital investment and financing policies have the most significant impact on profitability. These policies are related to risk and return theory since the conservative policy reduces both the risk and return and the aggressive one has the opposite impact.

The article recommends accountants to be in professional stage and increase the profitability of the company to grab both accounting and finance information and skills.

Despite the positive interview aspect, the challenges that were encountered with the meeting comprised the severe limitation of the study. When setting up the meetings with the participants, most of the sample apologised in the first attempt, and later many efforts the acceptance to conduct the meeting has been awarded. This situation has complicated the research timetable and forced the researcher to extend the research time plan to keep the methodology flow. Some meetings were time-restricted. Therefore, gaining information to suggest other research paths was not in a perfect manner.

However, the author suggests some topics for future research, for example, conducting research to provide more models to manage the working capital elements. Moreover, measuring the consequences of linking accounting with strategic management, governance and control management in education and practical experience should be done.

Sample (own sources)

CountryIndustrySize of capital
AustriaAgricultural manufacturingListed firms
BangladeshElectronic device retailingSMEs
HungaryFoodstuff manufacturing
JordanGrocery retailing
Qatar
Turkey

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Moldovan , P.C. , Van den Broeck , T. , Sylvester , R. , Marconi , L. , Bellmunt , J. , Van den Bergh , R.C. , Bolla , M. , et al. ( 2017 ), “ What is the negative predictive value of multiparametric magnetic resonance imaging in excluding prostate cancer at biopsy? A systematic review and meta-analysis from the European association of urology prostate cancer guidelines panel ”, European Urology , Vol. 72 No. 2 , pp. 250 - 266 , doi: 10.1016/j.eururo.2017.02.026 .

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    Kamma Arpitha1, Pavan Kumar2. 1,2Student, Department of Management Studies, VIT University, Chennai, India. Abstract: Dairy cooperatives play important role in socio economic development of our country particularly in India. Today India is under developed and one of the illiterate countries in the World with high level of unemployment.

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    The global computer outage affecting airports, banks and other businesses on Friday appears to stem at least partly from a software update issued by major US cybersecurity firm CrowdStrike ...

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    The paper examined the working capital management variations and profitability by analysing the connection among changes in working capital management and firm profitability. The previous literature review provides evidence of the significant roles of working capital management on the accounting profitability and assures that both accounting ...