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



More intriguing information

1. Spectral density bandwith choice and prewightening in the estimation of heteroskadasticity and autocorrelation consistent covariance matrices in panel data models
2. The Advantage of Cooperatives under Asymmetric Cost Information
3. Prizes and Patents: Using Market Signals to Provide Incentives for Innovations
4. Cross border cooperation –promoter of tourism development
5. he Virtual Playground: an Educational Virtual Reality Environment for Evaluating Interactivity and Conceptual Learning
6. The name is absent
7. Expectations, money, and the forecasting of inflation
8. The name is absent
9. The name is absent
10. From Aurora Borealis to Carpathians. Searching the Road to Regional and Rural Development