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혁신형 중소기업의 재무적 제약과 배당스무딩간의 관계

The Relations between Financial Constraints and Dividend Smoothing of Innovative Small and Medium Sized Enterprises

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참고문헌

키워드

주제분류경영학

초록

본 연구는 1999년 1월 1일부터 2007년 12월 31일까지 한국거래소의 유가증권시장과 코스닥시장에 상장된 혁신형 중소기업을 대상으로 재무적 제약과 배당스무딩간의 관계를 실증분석 하였으며, 주요한 분석결과는 다음과 같다. 기업들은 목표 배당성향을 가지고 있으며, 실제 배당성향이 목표 배당성향에서 이탈하면 다시 배당지급을 부분적으로 조정한다. 배당조정속도는 Lintner(1956)의 배당조정모형의 핵심변수인 전기 주당배당과 당기 주당이익을 사용하여 거의 대부분 측정할 수 있으며, 잔여배당이론과 그 이후에 등장한 배당신호이론, 대리인이론, 케이터링 이론 및 거래비용이론에 관한 대용변수들은 배당조정속도에 부분적으로 영향을 미친다. 그리고 전기 주당배당은 당기 주당이익보다 배당조정속도에 더 큰 영향을 미치는데, 이는 기업들이 특별한 이유가 없는 한 전기 주당배당 수준을 장기적으로 유지하는 안정적인 배당정책을 선호한다는 증거가 된다. 혁신형 중소기업은 비혁신형 중소기업보다 배당조정속도가 더 빠르다. 혁신형 중소기업은 R&D 투자에 따른 미래의 성장성과 수익성을 담보로 하여 장기적으로 안정적인 배당정책을 유지할 수 있다. 다시 말해, 혁신형 중소기업은 배당지급이 목표 배당성향에서 이탈하더라도, R&D 투자에 따른 미래의 성장성과 수익성을 담보로 하여 목표 배당성향을 향하여 배당지급을 신속하게 조정하여 배당스무딩을 효과적으로 달성할 수 있다. 그리고 혁신형 중소기업 중에서도 재무적 비제약 기업은 재무적 제약 기업보다 배당조정속도가 더 빠르다. 이는 재무적 비제약 기업일수록 자본시장을 통한 외부 자금조달이 용이하기 때문에 주당배당을 신속하게 조정한다는 증거가 된다. 따라서 자본시장 접근성이 용이하여 재무적 제약을 적게 받는 기업일수록 외부 자금조달이 용이하기 때문에 배당지급을 더 신속하게 조정함으로써 배당스무딩을 더 효과적으로 달성할 수 있다. 그리고 중소기업청이 정책적 목적으로 분류한 혁신형 중소기업(벤처기업, 이노비즈기업, 경영혁신형기업)은 비혁신형 중소기업보다 배당조정속도가 더 빠르다. 중소기업청에서 정책적 목적으로 분류한 혁신형 중소기업은 신용보증지원, 정책자금지원, 조세혜택, 공공입찰 우선권 부여 등과 같은 다양한 정책적 혜택으로 인해 재무적 제약을 적게 받기 때문에 배당지급을 더 신속하게 조정할 수 있다. 결론적으로, 한국거래소의 유가증권시장과 코스닥시장에 상장된 혁신형 중소기업은 비혁신형 중소기업보다 배당조정속도가 더 빠르고, 혁신형 중소기업 중에서도 재무적 비제약 기업은 재무적 제약 기업보다 배당조정속도가 더 빠르다. 다시 말해, 중소기업 중에서도 R&D 집중도가 높은 혁신형 중소기업은 R&D 투자에 따른 미래의 성장성과 수익성을 담보로 하여 배당스무딩을 신속하게 할 수 있고, 혁신형 중소기업 중에서도 자본시장 접근성이 좋은 기업은 재무적 제약을 적게 받기 때문에 배당스무딩을 더 신속하게 할 수 있다. 따라서 중소기업 경영자는 R&D 집중도를 증가시키고 자본시장 접근성을 높여 재무적 제약을 회피함으로써 신속한 배당스무딩을 통해 장기적으로 안정적인 배당정책을 유지할 수 있다고 생각한다. 그리고 중소기업청이 정책적 목적으로 분류한 혁신형 중소기업(벤처기업, 이노비즈기업, 경영혁신형기업)의 경우에도 배당조정속도가 비혁신형 중소기업보다 더 빠르게 나왔다. 이러한 결과는 배당정책의 측면에서 중소기업청의 혁신형 중소기업 정책을 지지하는 실증적인 증거가 된다.

Abstract

The purpose of this paper is to explore the relations between financial constraints and dividend smoothing of innovative small and medium sized enterprises(SMEs) listed on Korea Securities Market and Kosdaq Market of Korea Exchange. The innovative SMEs is defined as the firms with high level of R&D intensity which is measured by (R&D investment/total sales) ratio, according to Chauvin and Hirschey (1993). The R&D investment plays an important role as the innovative driver that can increase the future growth opportunity and profitability of the firms. Therefore, the R&D investment have large, positive, and consistent influences on the market value of the firm. In this point of view, we expect that the innovative SMEs can adjust dividend payment faster than the noninnovative SMEs, on the ground of their future growth opportunity and profitability. And also, we expect that the financial unconstrained firms can adjust dividend payment faster than the financial constrained firms, on the ground of their financing ability of investment funds through the market accessibility. Aivazian et al.(2006) exert that the financial unconstrained firms with the high accessibility to capital market can adjust dividend payment faster than the financial constrained firms. We collect the sample firms among the total SMEs listed on Korea Securities Market and Kosdaq Market of Korea Exchange during the periods from January 1999 to December 2007 from the KIS Value Library database. The total number of firm-year observations of the total sample firms throughout the entire period is 5,544, the number of firm-year observations of the dividend firms is 2,919, and the number of firm-year observations of the non-dividend firms is 2,625. About 53%(or 2,919) of these total 5,544 observations involve firms that make a dividend payment. The dividend firms are divided into two groups according to the R&D intensity, such as the innovative SMEs with larger than median of R&D intensity and the noninnovative SMEs with smaller than median of R&D intensity. The number of firm-year observations of the innovative SMEs is 1,506, and the number of firm-year observations of the noninnovative SMEs is 1,413. Furthermore, the innovative SMEs are divided into two groups according to level of financial constraints, such as the financial unconstrained firms and the financial constrained firms. The number of firm-year observations of the former is 894, and the number of firm-year observations of the latter is 612. Although all available firm-year observations of the dividend firms are collected, deletions are made in the case of financial industries such as banks, securities company, insurance company, and other financial services company, because their capital structure and business style are widely different from the general manufacturing firms. The stock repurchase was involved in dividend payment because Grullon and Michaely (2002) examined the substitution hypothesis between dividends and stock repurchases. However, our data structure is an unbalanced panel data since there is no requirement that the firm-year observations data are all available for each firms during the entire periods from January 1999 to December 2007 from the KIS Value Library database. We firstly estimate the classic Lintner(1956) dividend adjustment model, where the decision to smooth dividend or to adopt a residual dividend policy depends on financial constraints measured by market accessibility. Lintner model indicates that firms maintain stable and long run target payout ratio, and that firms adjust partially the gap between current payout rato and target payout ratio each year. In the Lintner model, dependent variable is the current dividend per share(), and independent variables are the past dividend per share() and the current earnings per share(). We hypothesized that firms adjust partially the gap between the current dividend per share() and the target payout ratio() each year, when the past dividend per share() deviate from the target payout ratio(). We secondly estimate the expansion model that extend the Lintner model by including the determinants suggested by the major theories of dividend, namely, residual dividend theory, dividend signaling theory, agency theory, catering theory, and transactions cost theory. In the expansion model, dependent variable is the current dividend per share(), explanatory variables are the past dividend per share() and the current earnings per share(), and control variables are the current capital expenditure ratio(), the current leverage ratio(), the current operating return on assets(), the current business risk(), the current trading volume turnover ratio(), and the current dividend premium(). In these control variables, , , and are the determinants suggested by the residual dividend theory and the agency theory, and are the determinants suggested by the dividend signaling theory, is the determinant suggested by the transactions cost theory, and is the determinant suggested by the catering theory. Furthermore, we thirdly estimate the Lintner model and the expansion model by using the panel data of the financial unconstrained firms and the financial constrained firms, that are divided into two groups according to level of financial constraints. We expect that the financial unconstrained firms can adjust dividend payment faster than the financial constrained firms, because the former can finance more easily the investment funds through the market accessibility than the latter. We analyzed descriptive statistics such as mean, standard deviation, and median to delete the outliers from the panel data, conducted one way analysis of variance to check up the industry-specfic effects, and conducted difference test of firms characteristic variables between innovative SMEs and noninnovative SMEs as well as difference test of firms characteristic variables between financial unconstrained firms and financial constrained firms. We also conducted the correlation analysis and the variance inflation factors analysis to detect any multicollinearity among the independent variables. Both of the correlation coefficients and the variance inflation factors are roughly low to the extent that may be ignored the multicollinearity among the independent variables. Furthermore, we estimate both of the Lintner model and the expansion model using the panel regression analysis. We firstly test the time-specific effects and the firm-specific effects may be involved in our panel data through the Lagrange multiplier test that was proposed by Breusch and Pagan(1980), and secondly conduct Hausman test to prove that fixed effect model is fitter with our panel data than the random effect model. The main results of this study can be summarized as follows. The determinants suggested by the major theories of dividend, namely, residual dividend theory, dividend signaling theory, agency theory, catering theory, and transactions cost theory explain significantly the dividend policy of the innovative SMEs. Lintner model indicates that firms maintain stable and long run target payout ratio, and that firms adjust partially the gap between the current payout ratio and the target payout ratio each year. In the core variables of Lintner model, the past dividend per share has more effects to dividend smoothing than the current earnings per share. These results suggest that the innovative SMEs maintain stable and long run dividend policy which sustains the past dividend per share level without corporate special reasons. The main results show that dividend adjustment speed of the innovative SMEs is faster than that of the noninnovative SMEs. This means that the innovative SMEs with high level of R&D intensity can adjust dividend payment faster than the noninnovative SMEs, on the ground of their future growth opportunity and profitability. The other main results show that dividend adjustment speed of the financial unconstrained SMEs is faster than that of the financial constrained SMEs. This means that the financial unconstrained firms with high accessibility to capital market can adjust dividend payment faster than the financial constrained firms, on the ground of their financing ability of investment funds through the market accessibility. Futhermore, the other additional results show that dividend adjustment speed of the innovative SMEs classified by the Small and Medium Business Administration is faster than that of the unclassified SMEs. They are linked with various financial policies and services such as credit guaranteed service, policy fund for SMEs, venture investment fund, insurance program, and so on. In conclusion, the past dividend per share and the current earnings per share suggested by the Lintner model explain mainly dividend adjustment speed of the innovative SMEs, and also the financial constraints explain partially. Therefore, if managers can properly understand of the relations between financial constraints and dividend smoothing of innovative SMEs, they can maintain stable and long run dividend policy of the innovative SMEs through dividend smoothing. These are encouraging results for Korea government, that is, the Small and Medium Business Administration as it has implemented many policies to commit to the innovative SMEs. This paper may have a few limitations because it may be only early study about the relations between financial constraints and dividend smoothing of the innovative SMEs. Specifically, this paper may not adequately capture all of the subtle features of the innovative SMEs and the financial unconstrained SMEs. Therefore, we think that it is necessary to expand sample firms and control variables, and use more elaborate analysis methods in the future studies.

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