2005 11 237~275ir.niu.edu.tw/bitstream/392340000/98/1/niu-01-008-01-001.pdf239 non-store industrial...

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2005 11 237~275

237

238

1.96 1.72

2.25

239

Non-Store Industrial Networks and theirInterdependence in Taiwan

Professor, Department of Applied Economics, National Ilan University

Abstract

After TV Shopping comes of age, experts predict that the non-store shop-

ping industry is about to explode. Consumers today want more information and

retailing channels about their purchases. In this way, retailers that add the tele-

vision-shopping, internet online shopping, direct marketing components to their

established non-store businesses are likely to see a synergistic effect. To be

sure, this development will induce the interindustry networks substantially.

This paper investigates the contribution of Taiwan's non-store industry and its

related output(or service) activities using input-output analyses. The first, this

paper apply the interindustry interdependence coefficients matrix to calculate

the Leontief forward and backward linkage effect, and the value is 1.96 and 1.72

respectively. Furthermore, the employment multipliers are measured by their

service functions.

Key Words Non-store Retailing, TV Commerce, Input-Output Analysis

240

search duration

consumer inert ia

2 0 0 3

2003 Barnett 2003

Kernohan 1999

1 0 %

non-store industry

TV-commerce

S A R S

9 4 . 5 %

position goods

2004

105 2007

1 5 0 0 6 6 %

2 0 0 1

241

intra-industry momo

i n t e r -

i n d u s t r y

c h a s m

S t o r e -

based

p r e c e d e n t

analysis Input-Output Interdependent table

1. Department store

2. Mass-selling store

W a r e h o u s e

242

Hypermarket

3. Convenience store

5 -10

5 0 0

4. Megastore

7 0 %

5. non-store marketing

3 D

6. non-store retailing

7. Virtual channel

243

e - s e r v e r 2 4

8. Industrial intangibility

1 9 7 0

Home Improvement Center

Discount or Mass

Merchandising Department Store Warehouse Club

Supe r s to r e

General Supermarket

Large General Supermarket

One-stop shopping

1991

1998

244

2 0 0 0

1999

1 9 8 9 S H V

4

4 9

S t e r n & E l - A n s a r y

1992

1 9 3 2

245

2001

246

S P A

K n o w - h o w

1972

1 9 7 7 M C R

Manufacture CVS Research Convenience Store ; CVS

8 3

1 9 8 3

1 9 9 2

2 0 0 0

f i n a l

demand

247

1 9 9 3 1 8 7 2 .

Montgomery Ward

1886

Sears Roebuck

3 1

3 7 2 0 0 4 1 9 6 0

3 0

1975

7-ELEVEN 1995

248

2003 1 500

8 0 0

Nissen 2005 9

unimall

9 momo 2006

1 0 0

Internet Online Shopping

249

1 9 9 7

W W W

1 9 9 7

A g e n t

Yahoo PC Home

ET Mal l

2 4 e

2004 1,000 2 1

2 1 0

250

2003 3 2000 2000

~ 2 0 0 3

6 , 0 0 0

2004 10 ARO

3 8 0

Yahoo 2 294

2003 12 PC Home

2005

Y a h o o

D e

Mon A+ Ardor

251

1999

1 9 9 4

1 9 4 5 1 9 7 6

1982

1 9 8 2

1 9 8 2 2

1995 448 .5

2 0 0 0

252

1 0 2 0 0 3

520 2 .8%

2,260 380 5.

9 2 1

personal tie 264

2000 2004 36%

1 9 5 1 1 8

7 6 %

2005

1

253

1 F

1 9 9 42000

2 0 0 4

2 0 0 5

Q V C 1 9 8 6

Q V C

254

Q V C

Q V C

Q V CQ V C

1 9 9 3 Q V C1 9 9 6 2 0 0 1

Q V C 7 2 41 4 1

95% 48 QVC

2002 231,698 194,0 0 0 2 5 0

2003 91 , 0 8 0 6 7 %

1996 2000 2002 60% 20033 5

15% 2006 53LG Home Shopping

2 , 5 0 0

1996 Jupiter Shop Channel

Home Shopping Network

255

Jupiter Shop Channel

3 5 0

2 0 0 2

() Hybr id F i -

ber Coaxial;HFC 2002

1 9 9 9 2 0 0 11969~1976

1976~1992 1992~19941994~1996

1996~1999

1999

1 9 9 92000 2

2 0 0 4

2 0 0 5 4 1 2

256

199443.3% 2003 76.1%83.7% 69% 71.5%

5 7 . 5 % 2

2

3

257

3

258

Mal l

2 0 0 4G D P 6 8 . 7 %

1 9 . 1 %2 5 . 5 3 %

4

4%

259

1. YP

2.

260

va lue cha in

co-opetit ion

1. 9 0 ( 1 6 2 )

5

5 162

261

2. 1 6 2

a. 9 0

b. 9 0

c. 8 9 9 3

262

d. 93 10 94 2 5

6

6 2004/10~2005/02

263

3. 2 7

7

264

4. 1 2 3

8

8

269

1 . 9 6 1 . 7 2

2 . 2 5

1. (E-ICP, Eastern Integrated Consumer

Profile)2001 2005 1

2 % 8 %

1 0

5

2 2

2. 2 0 0 4

2 0 %

270

3.

3 0 0 5 0 0

c o n s u m e r r i s k

pe rcep t i on

1.

2.

3.

271

2002

2002

2004

sogo 234 2005

48 2001 18-25

WLAN

2003

80/20 80/20

2005

900 2005

55-56

2004

347 2003 48-

50

1999

2000

272

2004

2003

2003 149-171

7-ELEVEN

2004

70 2001 21-25

T-Commerce http://

news.chinatimes.com 2005

http://news.chinatimes.com 2005

http://news.chinatimes.com 2005

http://news.chinatimes.com 2005

2005

iSURVEY

2004

400

2005

2005

2005

2005

e

2005

273

96 2002

1 e 2005

/ CEO 2005

2 4

2005

OK 2005

2005

60

1.2 2004

e 2004

2004

2001

e 2005

2004

2005

2005

2005

2004

2004

2004

2002 2003

2000

7 http://www.ios.sinica.edu.tw/pages/publish/4rd/lanbeja_all.htm

e 2004

274

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