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Controlling Ownership and Firm Performance in Taiwan: The Role of External Competition and Internal Governance

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Controlling ownership and

firm performance in

Taiwan: The role of external competition and

internal governance

Anlin Chen

a

, Lanfeng Kao

b,

, Cheng-Shou Lu

c

a70 Lien Hai RD, Department of Business Management, National Sun Yat-sen University, Kaohsiung 80424, Taiwan b700 University RD Department of Finance, National University of Kaohsiung, Kaohsiung 81148, Taiwan c

415 Chien Kung RD, Department of Wealth and Taxation Management, National Kaohsiung University of Applied Sciences, Kaohsiung 80778, Taiwan

a r t i c l e i n f o

a b s t r a c t

Article history:

Received 5 December 2013 Accepted 28 April 2014 Available online 5 May 2014

This study examines the relationship between controlling ownership and firm performance in Taiwan. We focus on whether external competition and internal governance alleviate the adverse impact of controlling ownership on firm performance and whether external governance dominates internal governance. Wefind that the relationship between controlling ownership andfirm performance is inverted U-shaped. Firm performance increases with controlling ownership at a low ownership level but decreases with controlling ownership at a high ownership level. The negative effect of controlling ownership onfirm performance at a high level of controlling ownership exists when external competition or internal governance is weak but disappears when external competition or internal governance is strong. Moreover, external competition is more effective and subsumes internal governance in mitigating the negative effect of controlling ownership onfirm performance.

© 2014 Elsevier B.V. All rights reserved.

JEL classification: G34 G35 Keywords: Corporate governance Entrenchment External governance Internal governance Product market competition

1. Introduction

Corporate governance consists of external and internal governance. Product market competition is considered as an effective external governance factor in monitoring management and reducing agency

conflicts. This paper examines how external product market competition and internal governance

☆ We appreciate the helpful comments from an anonymous referee and the participants at the 2013 Global Business & International Management Conference. We also thank the National Science Council of the Republic of China, Taiwan forfinancially supporting this research under Contract No. NSC100-2410-H-110-020-MY2. All the remaining errors are ours.

⁎ Corresponding author. Tel.: +886 7 5919502; fax: +886 7 5919329.

E-mail addresses:anlin@mail.nsysu.edu.tw(A. Chen),lanfeng@nuk.edu.tw(L. Kao),cslu@cc.kuas.edu.tw(C.-S. Lu).

http://dx.doi.org/10.1016/j.pacfin.2014.04.007 0927-538X/© 2014 Elsevier B.V. All rights reserved.

Contents lists available atScienceDirect

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influence the relationship between top management ownership and firm performance in a weak investor

protection economy from an agency conflict perspective.

The relationship between top management ownership and firm performance is controversial. The

convergence of interest hypothesis indicates that as management ownership rises, managers are more likely to

focus on value-maximization activities.Jensen and Meckling (1976)andJensen (1993)argue thatfirm value

increases with managerial ownership.Jensen (1993)and Chen et al. (2007)find evidence of a positive

relationship betweenfirm value and management ownership.

Contrary to the convergence of interest hypothesis, the entrenchment hypothesis implies that managers

pursue their own interests to expropriate shareholders.Jensen and Ruback (1983)propose the entrenchment

hypothesis, indicating that greater management ownership increases the possibility of managers' pursuing their own interests.Israel (1992)shows thatfirm value decreases when insider ownership is sufficiently high

to expropriate minority shareholders.Bozec and Laurin (2008)alsofind that firm value decreases when

controlling families have incentives and opportunities to expropriate minority shareholders. The

entrench-ment hypothesis implies a negative relationship between manageentrench-ment ownership andfirm performance at a

high management ownership level.

Morck et al. (1988)combine the convergence of interest hypothesis and entrenchment hypothesis,

arguing that the relationship between management ownership andfirm value (measured by Tobin's Q)

should be non-linear.Kim and Lu (2011)use quadratic regression specifications and report an inverted

U-shaped relationship between managerial ownership andfirm performance using U.S. data.

Internal and external governance can improve firm performance. For internal corporate governance

mechanisms, previous studies have typically focused on the structure of the board of directors, such as CEO duality, board size, and board independence. When a CEO also serves as the chairperson of the board (COB), known as CEO duality, the management is not appropriately monitored, leading to more severe agency conflicts. Chen et al. (2005)andTang et al. (2013)show that stockholder-manager agency conflicts are alleviated when CEO and COB positions arefilled separately.Yermack (1996)indicates that a smaller board of directors is more effective, leading to a negative relationship between board size andfirm value.Klein (2002)andXie et al. (2003) argue that board independence improves corporate governance.

Stigler (1958)argues that intense competition can push inefficient firms out of the market.Schmidt (1997)indicates that intense competition raises the default and liquidation risks offirms, leading to

reduced managerial agency conflicts. Shleifer and Vishny (1997) show that competition prohibits

manager investment in negative NPV projects to reduce the agency costs of free cashflow.Bertrand and

Mullainathan (2003)also demonstrate that competition eliminates the“quiet life” to reduce costs.Allen and Gale (2000)document product market competition as either a monitoring mechanism or a corporate

governance mechanism to reduce agency conflicts.

In this paper, we examine the relationship between controlling ownership andfirm performance and

whether product market competition serves as an effective external governance mechanism in Taiwan. We examine the Taiwan market primarily because Taiwan is an emerging civil law country with concentration of

ownership and with weak takeover threats.La Porta et al. (2000)document that civil law countries do not

provide strong investor protection.Choy et al. (2011)characterize Taiwan as a country with high investor

expropriation risk. Taiwanesefirms are also likely affiliated with pyramidal or cross-holding structures with controlling families or groups, resulting in a highly concentrated ownership structure.Claessens et al. (2000) find that in East Asian countries including Taiwan, ownership is highly concentrated, deterring takeover threats. Previous studies have shown that the inverted U-shaped relationship between management ownership and firm performance exists and that takeover threats play an important role in governance. It is worth examining if competition improves governance in a country such as Taiwan where takeover is not popular. This paper

contributes to the literature by filling this gap. We examine whether external competition or internal

governance mechanisms reduce the negative impacts of management ownership onfirm performance at high

levels of management ownership. How the internal governance or external competition alleviates the entrenchment effect in Taiwan is the key issue of this paper.

Our results are summarized as follows: Wefind that the relationship between controlling shareholder

ownership and Tobin's Q in Taiwan is inverted U-shaped, which only exists when firms have weak

external competition or weak internal governance. With strong external competition or strong internal

governance,firm performance is positively related to controlling ownership. Strong external competition

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at high levels of controlling ownership. Moreover, external competition is more effective and dominates

internal governance in reducing the negative impact of controlling ownership onfirm performance.

The remainder of this paper is organized as follows:Section 2presents a description of the data source and

variable definitions. We examine the relationship between controlling shareholder ownership and firm

performance inSection 3.Section 4presents a discussion of the relationship betweenfirm performance and

external competition or internal corporate governance.Section 5examines whether external competition or

internal governance is more effective in influencing the relationship between controlling ownership and firm

performance. Robustness tests regarding the effect of governance on the relationship between controlling shareholder ownership andfirm performance are reported inSection 6. Finally,Section 7offers a conclusion.

2. Data source and variable definitions

2.1. Data source

Our data comprise all the listedfirms in Taiwan during the 1996–2011 period. The sample period

begins in 1996 because the Taiwan Economic Journal (TEJ) established a corporate governance dataset for

Taiwanesefirms in that year. All study variables, including market equity, book assets, book debt, book

equity, R&D expenses, net sales, advertising expenses, weekly stock returns, cash equivalents,fixed assets,

firm age, controlling shareholder ownership, CEO tenure,1

and board structure variables are obtained from the TEJ database. Observations with missing values for the required variables are discarded from the

sample, leaving 7028firm–year observations in our sample.

2.2. Variable definitions

Our variables consist offirm performance, top management ownership, external competition, internal

corporate governance, and control variables.

We followMorck et al. (1988),Kim and Lu (2011)and most previous studies, using Tobin's Q as afirm

performance measure. Tobin's Q (Q) is defined as market equity plus book debt, divided by book assets.

Management ownership measures the strength of management influence on decision-making.Morck et al.

(1988)use managerial ownership;Himmelberg et al. (1999)use insider ownership; andKim and Lu (2011)use

CEO ownership. However,Claessens et al. (2000)show that in most East Asian countries, including Taiwan,

controlling families or controlling groups exist through pyramids or cross-holding. A CEO or manager of a

Taiwanesefirm is likely to be a family member nominally representing the controlling family. CEO ownership

or managerial ownership underestimates the strength of the management influence of Taiwanese firms.

Therefore, we adopt controlling shareholder ownership as the top management ownership (OWN).2

Published studies have typically used the Herfindahl–Hirschman index (HHI) to measure industry

concentration. High HHI implies high industry concentration and low industry product market

competition. HHI is the sum of the squares of individualfirm market shares in a particular industry. Our

measure of product market competition (ONE_HHI) is defined as one minus the HHI index as follows:

ONE HHIjt¼ 1− Xnj i¼1 salesijt Xnj i¼1salesijt !2 : ð1Þ

Salesijtis total sales offirm i in industry j in year t, and njis the number offirms in industry j.3We define

COMPETITION = 1 if an industry firm with product market competition (ONE_HHI) higher than the

1

In addition to the TEJ dataset, we also collect CEO tenure data from the annual reports of listedfirms available on the website of Market Observation Post Systems of Taiwan Stock Exchange.

2We followLa Porta et al. (1999)to define the ultimate controlling shareholders. The controlling ownership consists of direct and

indirect voting rights of the ultimate controlling shareholders. Since stock option plan is not popular in Taiwan, repeating the analyses including stock options in the controlling ownership produces similar results.

3

We follow the definition of the Taiwan Stock Exchange in defining industry in this study. These industries are oil, gas and utilities; glass and ceramic; cement; automobile; paper and pulp; trading and consumer goods; plastic; electrical and cable; shipping and transportation; tourism; rubber; iron and steel; electronics; food; chemical, biotechnology, and medical care; textile; electric machinery; and building materials and construction.

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median of the competition measure is defined as a high-competition industry; otherwise COMPETITION = 0 forfirms in a low-competition industry.4SEG is defined as 1, 2, 3, and 4 for observations in the 1st, 2nd,

3rd, and 4th quartiles of ONE_HHI, respectively.

We use CEO duality, board size, and board independence as measures of internal corporate governance. Non-DUALITY = 1 if the CEO does not serve as the COB; Non-DUALITY = 0 otherwise. Board size (BOARD) is the number of directors on the board. Small_BOARD = 1 if a board contains 7 or fewer directors; otherwise, Small_BOARD = 0. The percentage of independent directors on the board (Ind_DIRECTOR) is the measure of board independence. Ind_BOARD = 1 if a board contains at least one independent director;

otherwise Ind_BOARD = 0. Non-DUALITY, Small_BOARD, and Ind_BOARD are documented to be efficient

internal governance mechanisms in monitoring management.5

To examine the relationship between top management ownership andfirm performance, we follow

Demsetz and Lehn (1985), Himmelberg et al. (1999), and Kim and Lu (2011) to control for R&D

expenditures,firm idiosyncratic risk, advertising expenditure, operating performance, cash position, fixed

assets, capital structure,firm age, and firm size.

R&D expenditure (RD) is the ratio of R&D expenses to lagged total assets. We measure idiosyncratic risk (RMSE) by the standard error of the residuals from the market model based on the weekly stock returns and weekly stock index returns during the year. Advertising expenditure (ADV) is the ratio of

advertising expenses to lagged assets. We use return of assets (ROA) as a measure for firm operating

performance. Cash position (CASH) is the ratio of cash and cash equivalents to total assets at the end of the

year. We scalefixed assets by total assets at the end of the year as a proxy for investment policy (FA). We

employ a year-end debt-to-asset ratio (DA) to capture capital structure. Firm age (AGE) is the number of

years from the establishment of thefirm. We use the logarithm of lagged total assets (logASSET) as a proxy

forfirm size.6CEO tenure (TENURE) is one plus the number of years of a CEO on the position.

Table 1summarizes the variable definitions. 2.3. Descriptive statistics

Table 2reports the descriptive statistics of our variables and shows that Tobin's Q has an average of

1.288 with a median of 1.068.7On average, the controlling shareholders own 0.305 of the ownership with

a median of 0.284. The R&D expenditure is approximately 1.630% of the lagged total assets, whereas the advertising expenditure is approximately 5.787% of the lagged total assets. The average ROA is 2.856%. On average, cash,fixed assets, and debt are 10.420%, 36.751%, and 40.126% of the total assets, respectively. The mean competition measure (ONE_HHI) is 0.878 with a median of 0.926.

InTable 3, we further split the entire sample into subsamples using external competition and internal corporate governance measures. Panel A ofTable 3reports the descriptive statistics by external competition

and indicates thatfirms with high competition experience lower Q, higher controlling shareholder ownership,

lowerfixed assets, and longer CEO tenure and are younger and smaller. Competition tends to reduce firm

profitability, leading to lower Q. Minority shareholders might be less interested in firms faced with intense competition, leading to higher ownership for controlling shareholders. Fixed asset investment is a barrier to entry. Largefixed asset investment deters competitors, leading to lower industry competition. Firms in intense competition markets are typically younger and smaller. CEOs stay on their position longer to face more competitive markets.

Panel B ofTable 3presents the descriptive statistics by CEO duality and shows thatfirms with CEO duality experience a higher Tobin's Q, greater R&D, advertising expenditures, cash positions, and CEO tenure, but

lowerfixed assets and debt ratios, and tend to be younger and smaller. Panel C ofTable 3presents the

4We also try industry net profit margin and industry sales expenses-to-revenue as measures of industry competition and reach

similar results.

5

Most of thefirms do not have any independent directors. In our 7028 observations, 5088 do not have independent directors; the remaining 1940 have at least one independent director on board. Therefore, we use an indicator of at least one independent director on board as the proxy for internal governance.

6

Market capitalization is typically used as a proxy forfirm size. However, since Tobin's Q is used to measure firm performance, we measurefirm size by total assets instead of market capitalization. We appreciate this suggestion from an anonymous referee.

7

The maximum Q = 12.87 implies the existence of extreme value. We thus winsorize extreme Q to 1st or 99th percentiles and reach qualitatively similar results.

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descriptive statistics according to board size and indicates thatfirms with large boards experience a lower Tobin's Q, controlling shareholder ownership, and idiosyncratic risk, but higher advertising expenditures,fixed

assets, and tend to be older and larger. Panel D shows thatfirms without independent directors on the board

experience lower Tobin's Q, R&D, advertising expenditure, cash position; but higher idiosyncratic risk, ROA, fixed assets, debt ratio, and CEO tenure and tend to be older. The descriptive statistics inTable 3show the univariate analyses and do not reach a consistent conclusion regarding the effects of external competition and

internal corporate governance onfirm performance. We use multivariate analyses to avoid short-model bias in

the univariate analyses. Table 1

Variable definition.

Variable Definition

Q Tobin's Q measured by (market equity + book debt) / (book assets).

OWN Controlling shareholder's voting rights.

RD R&D expenditure measured by the ratio of R&D expenses to lagged total assets.

RMSE Idiosyncratic risk measured by the standard error of residual of market model using weekly returns in a calendar year.

ADV Advertising expenditure measured by the ratio of advertising expenses to lagged total assets. ROA Return on assets measured by the ratio of net income to lagged total assets.

CASH Cash position to total assets.

FA Asset investment measured by the ratio offixed assets to total assets. DA Leverage measured by the ratio of total debt to total assets.

AGE Firm age from establishment.

ASSET Firm size measured by year-end total assets in million NT dollars. One U.S. dollar is approximately 30 NT dollars.

logASSET Logarithm of ASSET.

ONE_HHI Competition measure defined as 1 minus the HHI index based on the market shares of total sales. COMPETITION Dummy variable for external product market competition.

SEG A score of 1, 2, 3, and 4 for observations in the 1st, 2nd, 3rd, and 4th quartiles of ONE_HHI, respectively. Non-DUALITY Dummy variable for Non-CEO duality.

BOARD Board size defined as the number of directors on the board. Small-BOARD Dummy variable for small board size.

Ind_DIRECTOR Percentage of independent directors on board. Ind-BOARD Dummy variable for board independence.

TENURE One plus the number of years a CEO on the CEO position.

Table 2

Descriptive statistics.

Descriptive statistics of Tobin's Q, controlling ownership, R&D expenditure, idiosyncratic risk, advertising expenditure, ROA, cash position,fixed assets, debt ratio, firm age, and total assets, competition intensity, CEO duality, board size, percentage of independent directors on board, and CEO tenure for a sample of 7028firm–year observations in Taiwan in 1996–2011. All observations with missing variable values are excluded.

Mean Std Minimum Median Maximum

Q 1.288 0.784 0.279 1.068 12.873 OWN 0.305 0.171 0.0004 0.284 0.971 RD(%) 1.630 2.606 0.000 0.691 35.739 RMSE 0.054 0.031 0.000 0.052 0.725 ADV(%) 5.787 7.377 0.000 3.776 81.295 ROA(%) 2.856 8.713 −85.400 2.590 83.490 CASH(%) 10.420 10.243 0.009 7.367 83.417 FA(%) 36.751 20.882 0.000 35.160 99.894 DA(%) 40.126 17.464 1.269 39.345 99.539 AGE 33.857 12.188 7.000 33.000 67.000 ASSET (million NT$) 15,181 47,269 90 4222 1,181,868 ONE_HHI 0.878 0.123 0.001 0.926 0.980 DUALITY 0.312 0.463 0 0 1 BOARD 7.010 2.669 1 7 26 Ind_DIRECTOR(%) 8.156 14.036 0 0 75 TENURE 14.823 10.056 1 13 51

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Table 3

Descriptive statistics by external competition and internal governance.

Descriptive statistics of Tobin's Q, controlling ownership, R&D expenditure, idiosyncratic risk, advertising expenditure, ROA, cash position,fixed assets, debt ratio, firm age, total assets by competition intensity, CEO duality, board size, board independence, and CEO tenure for a sample of 7028firm–year observations in Taiwan in 1996–2011. An industry firm with a competition measure (ONE_HHI) lower than the median of the competition measure is defined as a low-competition industry; otherwise, it is defined as a high-competition industry. CEO serves as COB is defined as CEO duality; otherwise, it is non-CEO duality. A board with at least 7 directors is defined as a large board; otherwise, it is a small board. A board with independent directors is defined with board independence; otherwise, it is with non-board independence. All observations with missing variable values are excluded.

Panel A: By external competition

Weak internal governance of large board

Strong internal governance of small board

N = 3932 N = 3096

Mean Median Mean Median t-value z-value

Q 1.327 1.090 1.252 1.051 4.04 3.35 OWN 0.298 0.278 0.311 0.290 −3.09 −2.37 RD(%) 1.604 0.454 1.654 0.900 −0.82 −8.25 RMSE 0.054 0.052 0.055 0.052 −1.41 −0.94 ADV(%) 5.950 3.797 5.638 3.768 1.77 0.20 ROA(%) 3.003 2.645 2.725 2.510 1.33 1.14 CASH(%) 10.356 7.453 10.480 7.293 −0.51 0.72 FA(%) 40.186 37.919 33.695 32.696 13.10 7.84 DA(%) 39.306 38.220 40.854 40.412 −3.72 −3.95 AGE 35.057 35.000 32.788 32.000 7.76 8.16 ASSET (million NT$) 23,405 6091 7867 3094 13.22 18.59 TENURE 14.610 12 15.013 13 −1.68 −2.90

Panel B: By CEO duality

Weak internal governance of CEO Duality

Strong internal governance of Non-CEO Duality

N = 4837 N = 2191

Mean Median Mean Median t-value z-value

Q 1.326 1.105 1.269 1.051 2.77 −4.23 OWN 0.302 0.276 0.306 0.289 −0.90 −2.77 RD(%) 2.017 1.019 1.455 0.532 7.81 8.86 RMSE 0.056 0.053 0.053 0.051 2.92 2.84 ADV(%) 6.093 4.067 5.645 3.679 2.39 2.32 ROA(%) 3.030 2.560 2.777 2.610 1.15 −0.41 CASH(%) 11.345 8.348 10.002 6.958 5.10 4.95 FA(%) 34.511 32.615 37.764 36.503 −6.24 −5.96 DA(%) 39.051 38.421 40.612 39.655 −3.47 −2.41 AGE 31.724 30 34.822 34 −10.25 −11.75 ASSET (million NT$) 11,423 3286 16,883 4926 −4.43 −9.60 TENURE 17.432 16 13.641 11 14.49 13.64

Panel C: By board size

Weak internal governance of large board

Strong internal governance of small board

N = 3932 N = 3096

Mean Median Mean Median t-value z-value

Q 1.269 1.059 1.311 1.080 −2.30 −1.93 OWN 0.291 0.267 0.323 0.304 −7.82 −6.45 RD(%) 1.537 0.760 1.750 0.570 −3.32 2.82 RMSE 0.052 0.050 0.057 0.055 −6.99 −5.96 ADV(%) 6.011 3.949 5.499 3.584 2.94 2.44 ROA(%) 2.781 2.510 2.951 2.650 −0.81 −1.03 CASH(%) 10.476 7.525 10.351 7.187 0.51 1.38

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3. Multivariate specification

We use the following model specification to examine how controlling ownership influences firm

performance.

Qit¼ β0þ β1OWNitþ β2OWN 2

itþ β3RDitþ β4ADVitþ β5ROAit

þβ6CASHitþ β7FAitþ β8AGEitþ β9DAitþ β10RMSEit

þβ11logASSETitþ firm fixed effects þ year fixed effects þ εit

ð2Þ

In Eq.(2), the quadratic form of OWN captures the non-linear effect of controlling ownership onfirm

performance. Since the ownership is endogenous, we follow Kim and Lu (2011) to employ 2SLS

regressions using TENUREt, and TENURE∗ SEGtas instrument variables and RDt, ADVt, ROAt, CASHt, DAt, FAt,

AGEt, RMSEt, and logASSETtas control variables.8Firmfixed effects and year fixed effects are included to

address the issues of omitted variables.

Table 4reports the multivariate regression results and indicates that OWN is positively related to Q,

whereas OWN2is negatively related to Q, implying an inverted U-shaped relationship between Q and

OWN. The inverted U-shaped relationship demonstrates thatfirm performance increases with controlling

shareholder ownership at a low level of controlling shareholder ownership, but decreases with controlling ownership at a high level of ownership. The positive relation between Q and OWN is consistent with the convergence of interests hypothesis, whereas the negative relation between Q and OWN supports the entrenchment hypothesis.

8

Kim and Lu (2011)also use CEO state and federal income tax rate as an instrument variable to solve the endogeneity issues of ownership. Kim and Lu argue that the state income tax rate is useful because the state tax rate varies across states. Because there is only one income tax rate statutory in Taiwan, we do not use income tax rate as an instrument variable.

Table 3 (continued)

Panel A: By external competition

Weak internal governance of large board

Strong internal governance of small board

N = 3932 N = 3096

Mean Median Mean Median t-value z-value

FA(%) 38.107 36.720 35.028 33.523 6.15 5.37

DA(%) 39.911 39.282 40.398 39.460 −1.16 −0.39

AGE 34.804 34 32.648 32 7.56 3.64

ASSET (million NT$) 20,998 4976 7792 3487 13.00 9.32

TENURE 14.937 13 14.678 12 1.07 1.13

Panel D: By board independence

Weak internal governance of non-board independence

Strong internal governance of board independence

N = 5088 N = 1940

Mean Median Mean Median t-value z-value

Q 1.215 1.019 1.472 1.220 −11.37 −13.92 OWN 0.307 0.287 0.299 0.276 1.64 1.65 RD(%) 1.177 0.339 2.821 1.825 −19.35 −24.33 RMSE 0.056 0.053 0.049 0.047 8.80 7.41 ADV(%) 5.336 3.201 6.957 5.150 −8.49 −12.86 ROA(%) 2.978 2.695 2.530 2.260 2.19 3.30 CASH(%) 8.504 5.871 15.443 11.911 −22.31 −23.15 FA(%) 38.360 37.067 32.509 30.526 10.58 9.23 DA(%) 40.861 40.054 38.211 37.086 5.85 4.64 AGE 36.874 36.000 25.934 24.000 37.77 27.58 ASSET (million NT$) 14,177 5186 17,813 2331 −2.15 18.03 TENURE 15.262 13 13.673 12 6.47 4.16

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For the control variables,Table 4shows that Q is positively related to R&D expenditure, advertising

expenditure, ROA, and cash position; but negatively related tofirm age, debt ratio, and idiosyncratic risk.

4. External competition and internal governance

Effective corporate governance improves firm performance by reducing potential agency conflicts

between controlling shareholders and minority shareholders. The takeover market mechanism is generally documented as an effective external governance mechanism and reinforces competition. However, the takeover market is unpopular in East Asian countries, including Taiwan, leading to its

governance inefficiency. We examine whether product market competition serves as an effective external

governance mechanism in Taiwan. In addition to external competition, we also examine the effect of internal governance on the relationship between Q and OWN. We use CEO duality, board size, and board independence as internal governance mechanisms.

Table 5examines the effects of OWN on Q by the intensity of external competition. Column 1 ofTable 5

indicates that OWN is positively related to Q with t-value = 2.22 but OWN2is negatively related to Q with

t-value =−2.95. The results for the low-competition subsample in Column 1 ofTable 5resemble those

for the entire sample in Column 2 ofTable 4. However, for the high-competition subsample, Column 2 of

Table 5reports that OWN is positively related to Q with t-value = 4.32 but OWN2is insignificantly related

to Q with t-value =−0.98, indicating that the relationship between controlling ownership and firm

performance is positive instead of inverted U-shaped. Table 4

Relationship between Tobin's Q and controlling ownership.

The second stage results of instrument variable regression analyses of Tobin's Q on controlling ownership and controlling ownership on Q with a sample of 7028firm–year observations in Taiwan in 1996–2011. Endogenous variables are OWN and OWN2. The

instrument variables are TENURE and TENURE∗ SEG. All observations with missing variable values are excluded. ***, ** and * represent the significance levels at 1%, 5% and 10%, respectively.

Q (t-value) Q (t-value) Intercept 3.393** (2.13) 2.989* (1.86) OWN 1.824*** (4.25) 1.159*** (4.35) OWN2 −0.288*** (−4.06) RD 0.017** (2.23) 0.014** (2.11) ADV 0.006*** (2.80) 0.006*** (2.82) ROA 0.003*** (3.40) 0.003*** (3.43) CASH 0.016*** (10.73) 0.016*** (10.75) FA −0.000 (−0.02) 0.000 (0.04) AGE −0.006*** (−3.94) −0.006*** (−3.92) DA −0.006*** (−3.46) −0.006*** (−3.46) RMSE −3.437* (−1.80) −3.303* (−1.73) logASSET 0.031 (0.51) 0.031 (0.50)

Firm FE Yes Yes

Year FE Yes Yes

N 7028 7028

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Panels A and B ofTable 6report the effect of OWN on Q by weak internal governance and strong internal

governance, respectively. Firms with CEO duality, large boards, or non-board independence are defined as

firms with weak internal governance; firms with non-CEO duality, small boards, or board independence are

those with strong internal governance. Panel A ofTable 6indicates that OWN is significantly positive and

OWN2is significantly negative for firms with weak internal governance (t-value = −2.54 for firms with CEO

duality; t-value =−2.44 for firms with large boards; t-value = −2.40 for firms with non-board

independence), confirming the inverted U-shaped relationship between controlling ownership and firm

performance. However, Panel B ofTable 6shows that forfirms with strong internal governance, OWN2is not

significantly negative (t-value = −1.55 for firms with non-CEO duality; t-value = −1.06 for firms with

small boards; t-value =−1.20 for firms with board independence) implying the disappearance of the

negative relationship between controlling ownership andfirm performance at high levels of controlling

ownership.

Tables 5 and 6show that forfirms with low external competition or weak internal governance of CEO duality, large boards, or non-board independence, the relationship between OWN and Q is inverted U-shaped, indicating that Q increases as OWN increases at low levels of OWN and Q decreases as OWN

increases at high levels of OWN. However, forfirms with high external competition or strong internal

governance of non-duality, small boards, or board independence, the negative effect of OWN on Q at high

levels of OWN disappears.Tables 5 and 6show that strong external governance through intense external

Table 5

Relationship between Tobin's Q and controlling ownership by external competition.

The second stage results of instrument variable regression analyses of Tobin's Q on controlling ownership and controlling ownership on Q with a sample of 7028firm–year observations in Taiwan in 1996–2011 by competition. Endogenous variables are OWN and OWN2

. The instrument variables are TENURE and TENURE∗ SEG. An industry firm with a competition measure (ONE_HHI) lower than the median of the competition measure is defined as a low-competition industry; otherwise, it is defined as a high-competition industry. All observations with missing variable values are excluded. ***, ** and * represent the significance levels at 1%, 5% and 10%, respectively.

Low competition High competition

Q (t-value) Q (t-value) Intercept 2.567 (1.17) 4.674* (1.93) OWN 1.063** (2.22) 2.366*** (4.32) OWN2 −0.622*** (−2.95) −0.409(−0.98) RD 0.018** (2.19) 0.019** (2.38) ADV 0.009*** (3.22) 0.001** (2.00) ROA 0.003* (1.71) 0.004*** (2.86) CASH 0.010*** (4.60) 0.019*** (9.49) FA −0.001 (−0.75) 0.001 (1.00) AGE −0.009*** (−3.89) −0.004* (−1.81) DA −0.007*** (−2.95) −0.006** (−2.29) RMSE −3.078 (−1.18) −5.232* (−1.82) logASSET 0.023 (0.28) 0.095 (1.01)

Firm FE Yes Yes

Year FE Yes Yes

N 3308 3720

R2

(10)

competition is more effective and subsumes internal governance to reduce the negative effect of controlling

ownership onfirm performance at high levels of controlling ownership.

7. Conclusion

Investors in East Asian countries are under weak protection, partly due to the concentration of ownership and the absence of takeover threats. The existence of controlling groups or families through pyramids or cross-holding ownerships deters the development of a takeover market leading to a weak investor protection economy. Taiwan is an example of an East Asian economy with weak investor protection. Consequently, investors in Taiwan more urgently require corporate governance than do those in strong investor protection economies.

We examine the relationship between controlling ownership andfirm performance in Taiwan. The

relationship has an inverted U shape because of the mixed effects from convergence of interests and entrenchment, leading to a positive relationship at low levels of controlling ownership and a negative

relationship at high levels of controlling ownership. Wefind that the inverted U-shaped relationship only

exists whenfirms experience weak corporate governance. Strong external competition or strong internal

governance reduces the entrenchment effect from controlling shareholders, leading to the disappearance of the negative relationship between controlling ownership and Tobin's Q at high levels of controlling

ownership. More importantly, wefind that external competition is more effective and dominates internal

governance in reducing the entrenchment effect. The order of power to alleviate the entrenchment effect from controlling ownership is“strong external competition and strong internal governance”, “strong external

competition and weak internal governance”, “weak external competition and strong internal governance”,

and“weak external competition and weak internal governance”. We confirm the effectiveness of external

product market competition. In Taiwan, the external competition can protect minority shareholders from controlling shareholder expropriation better than the internal governance mechanisms.

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數據

Table 4 reports the multivariate regression results and indicates that OWN is positively related to Q, whereas OWN 2 is negatively related to Q, implying an inverted U-shaped relationship between Q and OWN
Table 5 examines the effects of OWN on Q by the intensity of external competition. Column 1 of Table 5 indicates that OWN is positively related to Q with t-value = 2.22 but OWN 2 is negatively related to Q with t-value = −2.95

參考文獻

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