Learning-by-Exporting? Firm-Level Evidence for UK Manufacturing and Services Sectors



Table 2: Two-sample Kolmogorov-Smirnov tests on the distribution of TFP by various sub-groups a and industries, UK 1996-2004

Difference favourable to:

Difference favourable to:

Difference favourable to:

Difference favourable to:

Difference favourable to:

Industry (SIC2003 group)

All
exporters vs.

All non-
exporters

All
permanent
Exporters vs.

All never
exported

All foreign-
owned vs.

UK-owned
non-
exporters

All foreign-
owned vs.

UK-owned
Exporters

FO
exporters vs.

FO non-
exporters

Agriculture/Forestry/Fish (A/B)

AGF

-0.049

„ ___**

0.155

-0.049

0.154

-0.042

_ „ „ **
0.188

-0.006

0.075

„ _ _ „**

-0.328

0.002

Food/Beverages/Tobacco (DA)

FBT

-0.001

0.241

-0.001

_ ___**

0.259

-0.002

„ _ _ „
0.329

-0.014

„ „ „ _
0.095

-0.029

_ _ _ ,**
0.206

Textiles/Cloth/Leather (DB/DC)

TCL

-0.001

___**

0.252

-0.001

___**

0.267

-0.001

_ _ _ **
0.338

-0.005

. - **
0.112

-0.297

0.094

Wood products (DD)

-0.004

0.312

-0.001

_ ___**

0.351

0.000

„ _ „ „ **
0.508

0.000

„ ___**

0.297

-0.182

0.610

Paper/Printing (DE)

WPP

-0.004

„ ___**

0.255

-0.006

____**

0.273

-0.001

„ _ ,_ **
0.262

-0.030

0.023

-0.031

____**

0.275

Coke/Chemicals (DF/DG)

-0.013

- „ „ * *
0.199**

-0.028

0.219**

-0.023

„ _ _ „ **
0.228**

-0.009

_ _ _ **
0.056**

-0.001

_ ___**

0.187**

Rubber/Plastics (DH)

CRR

-0.005

. - **
0.142

-0.004

. . **
0.144

-0.006

_ -

0.207

-0.020

_ _ _ **
0.083

-0.098

0.014

Non-metal minerals (DI)

-0.028

„ ___**

0.157

-0.023

_ ___**

0.169

-0.039

„ - „ _**
0.185

-0.133

0.039

-0.004

0.196

Basic metals/fabricated (DJ)

MET

-0.002

___„
0.230

-0.002

„ ___**

0.237

-0.005

„ ___**

0.365

-0.007

0.204

-0.034

„ ___*

0.172

Fabricated metals (DJ pt)

-0.008

_ _ .

0.215

-0.005

_ _ . - **

0.240

-0.012

_  ___M

0.279

-0.014

0.074

-0.018

0.120

Machinery/Equipment (DK)

-0.002

0.199**

-0.000

0.208**

0.000

0.232**

-0.034

0.018

-0.003

0.105*

Office equip/Radio, TV (DI pt)

-0.026

____**

0.177**

-0.037

0.161**

-0.009

0.195**

„ „ . „ *

-0.048

0.019

-0.128

0.058

Electrical machinery (DI pt)

-0.039

0.264**

-0.041

0.316**

-0.041

0.280**

-0.030

0.022

-0.047

_ _ _ **
0.206**

Medical/Precision (DI pt)

ENG

-0.008

0.261**

-0.010

0.281**

-0.025

0.345**

-0.029

0.046

-0.002

0.245**

Motor vehicles/parts (DM pt)

-0.035

____**

0.179**

-0.003

____**

0.273**

-0.034

0.232**

-0.038

0.064

-0.097

0.071

Other transport (DM pt)

-0.033

„ _ ._**

0.245

-0.038

0.301

-0.050

0.321

„ _ „ „ *

-0.109

0.100

-0.060

_ ___**

0.367

Manufacturing n.e.c. (DN)

OMF

-0.001

_ _ .

0.217

-0.001

_ _ . . **

0.241

0.000

_  ___M

0.278

-0.011

_  ___M

0.070

-0.019

_ -

0.135

Construction (F)

CON

-0.008

0.262

-0.010

_ „ _ **
0.289

-0.002

0.234

_ _ , **

-0.066

0.030

-0.027

_ _ _ *
0.090

Repair/sale motors (G pt)

RSM

-0.002

0.213

-0.002

„ _ _ „ **
0.228

-0.001

„ ___**

0.337

0.000

0.221

-0.042

0.082

Wholesale trade (G pt)

WHO

-0.004

„ - „ .**

0.186

-0.003

„ ___**

0.207

0.000

0.211

„ „ _ „ *

-0.020

_ _ „ **
0.028

-0.016

_ „ . **
0.084

Retail trade (G pt)

RHR

-0.001

„ ___**

0.292

-0.001

„ _ _ ,**
0.316

____ M

-0.001

„ _ _ „
0.328

„ „ „ _**

-0.038

„ _ _ „ **

„ ___*

0.057

-0.052

„ „ _ _**

0.097

Hotels/restaurants (H)

-0.009

0.161

-0.024

0.174

-0.003

0.097

-0.139

0.091

-0.108

0.035

Transport services (I pt)

-0.011

___**

0.276**

-0.015

0.285**

-0.001

_ ___**

0.250**

-0.110

0.080**

-0.031

0.139**

Support for Transport (I pt)

TRA

-0.009

__**

0.178

-0.009

_ . _ **
0.218

-0.008

. - **
0.119

_ __**

-0.158

0.007

-0.076

- . **
0.121

Post/Telecoms (I pt)

POT

-0.011

„ ___**

0.151

-0.011

„ . . .»*

0.144

-0.008

„ „ „ „ **
0.099

„ „ „ „ **

-0.090

0.033

-0.024

0.154

Financial intermediation (J)

-0.049**

0.220**

„ „ , „ **

-0.060

0.239**

„ „ _ „ *

-0.030

0.201**

-0.037

0.037

-0.051

_ ___**

0.137**

Real estate (K pt)

FIN

-0.083**

0.149**

_ . . .**

-0.091

. - **

0.143**

-0.018

0.074**

_ . . **

-0.144

0.148**

-0.156*

_ _*

0.137*

Renting (K pt)

-0.017

„ ___**

0.317

-0.016

_ ___**

0.358

-0.060

0.126

„ _ _ „**

-0.239

0.005

-0.024

___**

0.427

Computer services/R&D (K pt)

-0.001

0.142

-0.001

„ . . .**

0.160

0.000

„ _ „ „ **
0.108

-0.031

0.024

-0.016

_ _ _ _**
0.205

Other Business services (K pt)
--------≡—:----------------:------:------

BUS

_ ___**

-0.023

^* ^^ ■ ■

___„

0.220

_ ___**

-0.027

„ _ _ „ **
0.238

____**

-0.022

„ - _ _**
0.135

-0.095

0.019

-0.011

_ _ _ — **
0.198

Note: ** denotes null rejected at 1% level; * null rejected at 5% level.                            Source: calculations based on weighted FAME

a In each instance we are testing the two sub-groups listed against each other, with the null that the distribution of one sub-group dominates the other; the values measure the
greatest difference between the two sub-groups, and a positive value means that a sub-group lies to the left of the opposing sub-group.

13



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