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Growth Opportunities Utilization: Debt Overhang or Asymmetric Information? Cover

Growth Opportunities Utilization: Debt Overhang or Asymmetric Information?

Open Access
|Dec 2021

Figures & Tables

Figure 1

Time series on inter-industry debt to assets ratio (Source: IDX Statistics, 2009–2019)
Time series on inter-industry debt to assets ratio (Source: IDX Statistics, 2009–2019)

Result of correlation analysis (Source: IDX Statistics, 2009–2019)

Debt to Assets RatioAgeSizeGrowth sales
Debt to Assets Ratio10.0333790.1119950.007558
Age0.03337910.045458−0.06881
Size0.1119950.04545810.009209
Growth sales0.007558−0.068810.0092091

Time series data on firm age (Source: IDX Statistics, 2009–2019)

20092010201120122013201420152016201720182019
Agriculture0.2520.2810.3870.4040.4760.4320.2270.4810.4750.5130.591
Basic industry and chemicals0.3610.4950.4970.4730.5270.4930.4850.4870.4900.4490.447
Consumer goods industry0.3630.3930.3750.3890.4480.4320.3870.4480.4170.3830.378
Infrastructure, utilities, and transportation0.6160.5830.5340.5440.5290.5590.4930.5050.5030.4830.492
Mining0.5020.4460.4550.4440.4530.4630.5340.4750.4820.5120.488
Miscellaneous industry0.5740.4680.5180.5110.5300.5540.4590.5080.4740.4980.524
Property, real estate, and building construction0.5310.4740.4310.4700.4790.4670.4600.4520.4550.4280.446
Trade, services, and investment0.4770.4750.4660.4770.4720.5030.4730.4690.4780.4670.505
Minimal0.4600.4520.4580.4640.4890.4880.4400.4780.4720.4670.484
Maximal0.2520.2810.3750.3890.4480.4320.2270.4480.4170.3830.378

ANOVA test on leverage in inter-industry (Source: IDX Statistics, 2009–2019)

SourcesSSdfMSFP-valueF critRMSSE
Between groups1.95280.2446.3050.0001.9400.169
Within groups179.71046450.039
Total181.66146530.039

Descriptive statistics on inter-industry leverage (Source: IDX Statistics, 2009–2019)

IndustrynMeanStandard deviation25th percentilesMedian75th percentilesKurtosisSkewness
Agriculture1130.4520.2260.2570.4680.6075.4641.147
Basic industry and chemicals3130.4790.1950.3340.4710.616−0.7570.111
Consumer goods industry2070.4040.1700.2620.3880.541−0.8900.231
Infrastructure, utilities, and transportation2900.5200.1760.3990.5330.650−0.447−0.290
Mining2310.4780.1950.3180.4630.616−0.6690.224
Miscellaneous industry1620.5080.1890.3670.4910.660−0.9590.051
Property, real estate, and building construction3820.4620.1750.3360.4740.581−0.6100.118
Trade, services, and investment6290.4800.2190.3210.4680.63313.3051.530
Whole industry23270.4760.1980.3270.4740.6185.5490.693

ANOVA test on firm size intra-industry (Source: IDX Statistics, 2009–2019)

SourcesSSDfMSFP-valueF critRMSSEOmega Sq.
Between groups389.996848.75024.4810.0001.9400.3210.039
Within groups9249.64446451.991
Total9639.64046532.072

Descriptive statistics on firm size (Source: IDX Statistics, 2009–2019)

IndustrynMeanStandard deviation25th percentilesMedian75th percentilesSkewnessKurtosis
Agriculture11329.2621.16228.60929.33530.084−0.6250.364
Basic industry and chemicals31328.3651.32927.46028.36929.1680.339−0.140
Consumer goods industry20728.0831.28427.20627.92628.8450.444−0.014
Infrastructure, utilities, and transportation29028.8561.53127.88628.75229.809−0.004−0.692
Mining23129.1181.46828.24229.20530.259−0.517−0.359
Miscellaneous industry16228.0901.22927.18627.73028.6310.9600.025
Property, real estate, and building construction38228.8991.33828.03828.94229.893−0.188−0.311
Trade, services, and investment62928.1611.43326.89028.19729.2430.046−0.527
Whole industry232728.5331.43927.43428.51529.5630.045−0.572

Regression analysis (Source: IDX Statistics, 2009–2019)

Dependent variable: growth sales12
Debt asset ratio0.0090.010
P-value0.7160.680
Age−0.024*
P-value0.001
Size0.002
P-value0.584
R20.0000.005
Adj. R20.0000.004
No. observation23272327

Data description on firm age intra-industry (Source: IDX Statistics, 2009–2019)

IndustrynMeanStandard deviation25th percentilesMedian75th percentilesKurtosisSkewness
Agriculture1132.4700.5962.1972.4853.0910.866−0.682
Basic industry and chemicals3132.7610.6992.3033.1353.2191.414−1.468
Consumer goods industry2072.7470.7202.1973.1783.2580.708−1.328
Infrastructure, utilities, and transportation2902.2930.6331.9462.1972.7730.253−0.641
Mining2312.5810.4722.3032.4852.9442.355−0.960
Miscellaneous industry1622.8030.7192.4853.1353.2962.173−1.612
Property, real estate, and building construction3822.6200.6222.3032.6023.1781.080−1.041
Trade, services, and investment6292.5830.6272.0792.7733.0910.727−0.995
Whole industry23272.6010.6532.1972.7083.1780.697−1.006

ANOVA test on firm age intra-industry (Source: IDX Statistics, 2009–2019)

SourcesSSDfMSFP-valueF critRMSSEOmega Sq.
Between groups48.95086.11914.6820.0001.9400.2450.023
Within groups1935.80046450.417
Total1984.75046530.427
DOI: https://doi.org/10.2478/fman-2021-0013 | Journal eISSN: 2300-5661 | Journal ISSN: 2080-7279
Language: English
Page range: 171 - 182
Published on: Dec 5, 2021
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 S. Martono, Arief Yulianto, Angga Pandu Wijaya, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.