Firm Size As A Moderation Factor: Testing The Relationship of Capital Structure With Dividend Policy 41 Firm Size As A Moderation Factor: Testing The Relationship of Capital Structure With Dividend Policy Akhmadi1*4, Bambang Mahmudi2, Moh Muksin3, Indra Suhendra4, and Rina F5 1, 2, 3, 4, 5 Universitas Sultan Ageng Tirtayasa, Serang, Indonesia Abstract This study examines size as a variable that can strengthen and weaken the relationship between debt policy and dividend policy. Presearch using a sample of 26 companies of 65 population Basic industrial and chemical manufacturing companies listed on the Indonesia Stock Exchange in 2011-2015, which is determined by purposive technique. The variables observed include debt policy as an independent variable, dividend policy as the dependent variable, and firm size as a moderating variable. The analysis tool uses regression moderating analysis (MRA). The results prove that the Debt to Asset Ratio (DAR) has a negative and insignificant effect on the Dividend Payout Ratio (DPR), firm size negatively moderates and there is a significant relationship between capital structure and dividend policy. Keywords: DAR, DPR, Firm Size, ROE. 1. Introduction The capital market is an alternative long-term investment option, where one of the products that often gets the attention of investors is stocks because of the investor's expectation of stock returns, in the form of capital gains and dividends. Regarding dividends, this return is usually expected by investors who are oriented towards long- term returns, whose mechanism is decided at the general meeting of shareholders (GMS). According to Suad Husnan and Enny Pudjiastuti (2002: 333), dividend policy is a policy that concerns the use of profit which is the right of shareholders, basically the profit can be divided as dividends or retained to be reinvested. Meanwhile, according to Brigham & Houston (2001), the optimal dividend policy is a dividend policy that can create a balance between current dividends and future growth that can maximize the company's stock price. Regarding dividend policy, there are several relevant theories including the bird in the hand theory, which explains that investors who prefer dividends have the view that dividends have less risk and a more certain rate of return compared to capital gains. While inagency theoryIt is explained that investors generally want a relatively stable dividend distribution (steady stream) and increase in the future, because dividend stability can increase investor confidence in the company and support the company's performance prospects (profitability), thereby reducing investor uncertainty in investing funds in the company (Philippatos and Sihler, 1991) in Ambarwati (2012). Many factors influence the dividend ratio. According to Hanafi (2004), factors that can influence dividend policy are investment, profitability, liquidity, access to markets, income stability, and restrictions. While Levy and Sarnat (1990) in Van Horn (1986), the factors that influence dividend decisions include profitability, liquidity position, debt capacity, capital structure, prohibition on debt covenants, level of company expansion, level of company profit, firm stability, ability to enter. capital market, controlling group actors, the position of shareholder as taxpayer, tax on profits that were done wrongly, and the inflation rate. Based on this explanation, it is clear that dividend policy is influenced by many factors, but several previous empirical researchers have presented dividend policy * Corresponding author. Email address: akhmadi@untirta.ac.id AFEBI Management and Business Review (AMBR) Vol.05 No.02 Deember 2020 42 related to capital structure. Research by Dewi et al (2012), proves that capital structure has a negative effect on dividend policy. Meanwhile Siswantini (2014) and Sulistyowati et al (2013) prove that capital structure has a positive effect on dividend policy. A very different result was stated by Gita and Rohmawati (2010, which proved that the capital structure did not have a significant effect on dividend policy). Based on the explanation above, it is clear that there is still a gap in the relationship between capital structure and dividend policy. Thus the relationship cannot be said to be an established relationship, but it still creates ambiguity (confusion). The gap that occurs is believed to be due to the presence of other variables that influence this relationship. Based on the search for several references related to several previous studies leadingfirm size as a variable that can affect the relationship between capital structure and dividend policy.Research by Musiega et.al (2013), proves that Size is able to mediate the relationship between the leverage variable and dividend policy. Consider existing research gaps, the researchers are interested in conducting research which is different from the previous research, namely by adding the Firm Size as a moderating variable. Based on the research problems that have been stated, the objectives of this study are: is there an effect of capital structure on dividend policy? Is there an effect of profitability on dividend policy? Is the effect of capital structure and profitability on dividend policy moderated by firm size? 2. Literature Study Signalling Theory Signaling Theory, Bhatacharya (1972) inIrham Fahmi (2013),emphasizes the importance of the information issued by the company on investment decisions outside the company. Signalling theoryin Suharli (2006), management will pay dividends to signal the company's success in posting profits. Furthermore, Weston and Copeland, 1997 in Nursandari (2013), the level of company profit is a basic element of dividend policy so that financial ratio analysis affects dividend policy. Agency Theory Jensen and Meckling (1976) in Najmudin (2011), describes the relationship between separation of ownership and company control. Describing the conflict between the principal and the agent, which states that agency costs are the sum of a) expenses for monitoring by the owner (principal), b) expenses for binding by the agent, and c) other costs related to company control . The existence of this separation will create a conflict of interest between shareholders and managers. Packing Order Theory Inner order pecking theory Najmudin (2011), starting from the premise that companies use internal funding when available, and choose to issue debt over equity when external funds are needed. Issuance of new shares is a last resort.Maidah (2016), explained that if the use of internal funds is insufficient, then the second alternative is to use debt. This stigma means that the larger the size of the company indicates that the company has a higher number of assets and tends to use larger external funds. along with the increasing growth of the company. Dividend Policy Dividend is a part of profit which is the right of shareholders regarding their ownership in a company. Halim (2015: 7), dividend is the distribution of profits given by the company that issued the shares for the profits generated by the company. Generally, dividends are an attraction for shareholders with a long-term orientation. There are different types of dividends, according toMusthikawati (2010) in Nursandari (2013), namely cash dividend, property dividend, script dividend, liquidating dividend, http://ekonomi.kabo.biz/2011/07/teori-sinyal.html Firm Size As A Moderation Factor: Testing The Relationship of Capital Structure With Dividend Policy 43 and stock dividend. Dividend policy maccording to Sudana (2011: 164), relates to determining the percentage of net profit after tax that is distributed as dividends to shareholders. WhileMulyawan (2015)Dividend policy is a decision to share the profit earned by the company to shareholders as dividends or to hold it in the form of retained earnings to be used as investment financing in the future. Capital Structure Wild, 2005 in Mulyawan (2015), capital structure is a combination of long-term debt and securities used by a company to finance its operational activities. Irham Fahmi (2016), capital structure is a description of the form of the company's financial proportion, namely between the capital owned by long-term liabilities and equity (shareholder's equity) which is a source of financing for a company. Raharjaputra (2011: 296) The capital structure is the proportion between long-term debt and equity in order to finance its investment (operating assets). Capital structure is measured using a capital structure ratio known as the leverage ratio (Nuswandari, 2013). According to Kasmir (2012: 151), the leverage ratio is a ratio used to measure the extent to which the company's assets are financed with debt. Firm Size The size of the company is the size of the company seen from the size of its equity, firm value, or the result of the total asset value of a company Riyanto, 2011 in Agustiniet al, 2015). Sudarsi, 2002 in Prasetia et al (2014), company size is the natural log of total assets. Meanwhile, Huang (2002) in Damayanti (2013) states that company size is a reflection of the size of the company as measured by the natural logarithm of Sales. Hypothesis Development Effect of Capital Structure on Dividend Policy Jensen et al (1992) supported by Megginson (1997) and Chen and Steinler (1999) in Dewi (2008), explained that debt policy negatively affects dividend policy. Companies with high levels of debt will try to reduce agency cost of debt by reducing their debt. Debt reduction can be done by financing investments with internal sources of funds so that shareholders will give up their dividends to finance their investments. The same thing was statedKalay (1982) in Suhadak and Darmawan, (2011), that companies that use high leverage will cause the company to reduce or not increase its dividend payments (Suhadak and Darmawan, 2011: 170). Jensen et. al (1992) inDewi (2008), debt policy has a negative effect on dividend policy because the use of debt that is too high will cause a decrease in dividends where most of the profits will be allocated as reserves for debt settlement. Agency theory in Dewi and Sedana (2012), suggests a negative relationship between capital structure and dividend policy where debt is a way to reduce agency conflicts. Companies that have debt, then the company will be forced to remove the available cash from the company to pay interest on debt and pay off debt before distributing the dividend policy. The relationship between model structure and dividend policy is empirically explained Dewi (2011), which provesthat the capital structure has a significant negative effect on Dividend Policy. These results are supported by several subsequent researchers, namely Sumiadji (2011), Dewi and Sedana (2012), Vo and Nguyen (2014), Mandala (2014), and Pramana et al (2015), who in essence explain that to reduce agency problems. then part of the company's funds must be willing to pay installments and interest on debt, so there is a tendency to reduce its priority to increase the dividend ratio. Based on the explanation above, then the research hypothesis 1 (H1) can be formulated, namely: H1 : The higher the capital structure, the smaller the dividend ratio AFEBI Management and Business Review (AMBR) Vol.05 No.02 Deember 2020 44 The Effect of Capital Structure on Dividend Policy Moderated by Firm Size. Sjahrial (2008) explains that companies with a larger size have greater confidence in obtaining sources of funds, so that it will be easier to obtain credit from outside parties. Empirically, the relationship between firm size and capital structure is explained by Sunarya (2013), which proves that firm size strengthens the relationship between capital structure and dividend policy. There is a tendency to use larger loan amounts compared to smaller companies. Research results that are also relevant to the research of Sunarya (2013), presented by Elsa (2012), Joshua and Komang (2013), Tariq (2015), Maidah (2016), Karadeniz et al (2011), Tatik and Budiyanto (2015), Rehman (2016), and Trinh and Phuong (2016), who prove that company size determines the company's capital structure. Agency TheoryVogt (1994) in Dewi (2008), identifies that the size or size of the company plays a role in explaining the dividend payout ratio in the company. Empirically Khoiro et al (2013), which proves that company size has a significant and positive influence on dividend policy. The positive significant effect explains that companies with a higher size tend to have an increase in dividend policy. Pecking order theory,Smith and Warner, 1979 in Hadianto (2007), large companies can easily finance their investment through the capital market because of the small information asymmetry that occurs. Investors can get more information from large companies when compared to small companies. So, obtaining funds through the capital market makes the proportion of debt smaller in the capital structure. Titman and Wessel 1988 in Hadianto (2007), that the issuance of equity to small companies costs more than large companies. In other words, the larger the company size, the cheaper the cost of issuing equity. Hadianto (2007) empirically proves that company size has a significant negative effect on capital structure. This result is consistent with the pecking order hypothesis that for large companies, consideration of the cost of issuing equity in the capital market is quite cheap (Titman and Wessels, 1988) and the low level of information asymmetry that occurs (Smith and Warner, 1979). If this is realized, the proportion of equity ownership is greater than debt. The empirical research of Hapsari (2010), Yusron et al (2016), Wahome et al (2015), and Ramachandran & Veeramuthu (2010),Bhawa and Made (2015),Youssef and El-Ghonamie (2015), Osarentin and Chijuka (2011), prove that a larger company size presents the cost of issuing equity in the capital market which is quite cheap so that using equity is more possible than debt. Signaling theory, Damayanti (2015) states that large companies with high growth rates need more funds for investment activities, so that the funds obtained from retained earnings are not paid out as dividends. Zang, 2014 in Amalia, (2016), the negative correlation between dividend yield and size shows that small companies are more able to pay dividends. EmpiricallyNurhayati (2013), proves that firm size has a significant negative effect on the dividend payout ratio. The larger the size of a company, the smaller the dividend ratio.Lanawati and Amilin (2015) who prove that Firm Size has a negative sign, which means that an increase in firm size will result in a decrease in the dividend payout ratio. Other consistent results are by Winatha (2001), Damayanti and Achyani (2006) and Sulistyaningsih (2012), which conclude that the size of firm variable has a negative effect on the dividend payout ratio. Based on these explanations, research hypothesis 3 (H3) can be formulated, namely: H2 : Firm size moderates the relationship between capital structure and dividend policy. 3. Research Methodology The sample in this study were 26 companies from 65 populations of Manufacturing Companies in the Basic Industry and Chemical Sector which were listed on the Indonesia Stock Exchange in 2011-2015, which were determined by purposive technique. There are 130 observational data. The observed variable is the capital Firm Size As A Moderation Factor: Testing The Relationship of Capital Structure With Dividend Policy 45 structure of the independent variable, measured by the debt to total asset ratio (DAR), which is the ratio between total liability and total assets, Irham Fahmi (2016). Dividend policy, as a dependent variable as measured by the dividend payout ratio (DPR), is the ratio between dividend per shre and earnings per share, Harmono (2011). The moderating variable is firm size as measured by ln total assets, Riyanto (2011). The analysis tool uses moderating regression analysis (MRA). 4. Results Descriptive statistics The results of descriptive statistical analysis were processed using the SPSS 2 statistical program2 for each variable in 2011-2015 is presented in the following table: Source: processed data In general, of the 3 variables analyzed, namely DAR, DPR, and FZ, seen from the comparison of the mean and standard deviation, almost all of them show that the mean value is greater than the standard deviation, except for DPR with a mean value of 35.84 which is lower than the standard deviation. is at 46.98. Meanwhile, seen from the comparison between the maximum value and the mean value, almost all of them show a maximum value that is greater than the mean value. Classic Assumption Test Normality test uses Kolmogorov Smirnov, by transforming it into a natural logarithm (Ln) as a form of treatment for data that is not normally distributed, the Kolmogorov-Smirnov test results in table 4.3 show the Asymp value. Sig has a value of 0.183> 0.05. This shows that the resulting regression model is normally distributed. Multicollinearity test using tolerance and VIF parameters shows that all independent variables do not have a very strong direct relationship (correlation). The multicollinearity test results can be seen from the tolerance value and the Variance Inflation Factor (VIF). Where the tolerance value is> 0.10 and VIF <10, so it can be said that there are no symptoms of multicollinearity in the resulting regression model (Table 2). Table 2 Classcic Assumption Test TEST Parameter Result Normality Kolmogorov Smirnov Sig = 0.183 Multicoleniarity Tollerance and VIF Tollerance VIF LnDAR = 0.943 LnFZ = 0.612 1,060 1,020 Heteroscedasticity Glejser sigLnDAR = 0.902 sigLnFZ = 0.612 Autocorrelation Durbin-Waston DW = 1.759 Linearity Lagrange Multiflier C2count = 130x 0.157 = 20.41 Source: processed data Table 1 Statistics Descriptive N Minimum Maximum Mean Std. Deviation DAR 130 , 08 , 92 , 4479 , 21028 DPR 130 , 53 452.13 35,8358 46,98514 FZ 130 10.52 18.45 14,9260 1.66295 Valid N (listwise) 130 AFEBI Management and Business Review (AMBR) Vol.05 No.02 Deember 2020 46 Heteroscedasticity test using the Glejser parameter, the results of the SPSS output in table 4.5 clearly showIn the regression model, there is no variance inequality of the residues from one observation to another. This can be seen from the significance probability which is above the 5% confidence level, so that there are no symptoms of heteroscedasticity in the resulting regression model. The autocorrelation test using the durbin-waston parameter above shows that the Durbin Watson statistical test value is 1.759. Meanwhile, the lower limit (dL) is 1.6623, and the upper limit (du) is 1.7589. Thus the results obtained (1.7589 <1.759 <2.2411) were in the dL to dU area (dU