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保險業集中度及效率對市場競爭程度的影響:以日本產險業為例

312

acquisitions in addition to regulatory changes since 1996, which provides the perfect

research environment for us to examine the potential factors affecting market competition.

Third, our study effectively controls for the influence of government regulation given that

the Japanese nonlife insurance industry is subject to a uniform regulatory environment. We

believe the results of our study can provide appropriate suggestions to countries similar in

this way to Japan, such as Taiwan. Fourth, past research uses factors such as product price to

examine theories such as the structure-conduct-performance (SCP) paradigm or the

efficiency hypothesis. By applying the Lerner index in the evaluation of the market

competition level, we complement the literature by reexamining traditional theories. Finally,

this study has implications for insurance company strategy. Specifically, firms should tailor

their product composition or risk-taking behaviors to specific types of market competition.

2. Data and Methodology

We examine the Japanese non-life-insurance industry from 2001 to 2012. Our sample

data is unbalanced panel data consisting of 313 observations. Of these observations, 18 were

missing variables such as capital price, and the omission of output price in a further 12

observations reduced the final sample to 283 for calculating profit efficiency. The main

regression model (model [1]) is

LI

it

=

α

1

HHI

t

+

α

2

EFF

it

+

α

3

ln

TA

it

+

α

4

(ln

TA

it

)

2

+

α

5

DIV

it

+

α

6

MS

it

+

α

7

AUTO

it

+

α

8

Leverage

it

+

α

9

GDP

it

+

μ

it

+

ε

it

(1)

where i refers to the i

th

firm and t refers to the t

th

year. The remaining terms in the model

are defined as follows.

LI:

Lerner Index variable

HHI:

Herfindahl-Hirschman index

EFF:

efficiency measure of the insurer, including technical efficiency (TE) and

profit efficiency (PE) measures

lnTA:

natural logarithm of total assets

(LnTA)

2

: square of the natural logarithm of total assets

DIV:

diversification measure

MS:

market share of the insurer

Auto:

percentage of auto line in terms of premium

Leverage: debt-to-equity leverage ratio