Table 3 Unspecified conditional β-convergence
Energy β E |
R2 |
Implied λ |
Labour | |||
β L |
R2 |
Implied λ | ||||
Total |
- 0.2214*** (0.0691) |
0.19 |
0.0501 |
- 0.1068*** (0.0262) |
0.58 |
0.0226 |
Agriculture |
- 0.4797*** (0.0888) |
0.49 |
0.1307 |
- 0.0831* (0.0431) |
0.22 |
0.0174 |
Services |
- 0.2181** (0.1169) |
0.44 |
0.0492 |
- 0.1783*** (0.0422) |
0.80 |
0.0393 |
Transport |
- 0.6301*** (0.1593) |
0.42 |
0.1989 |
- 0.1040 (0.1115) |
0.16 |
0.0220 |
Manufacturing |
- 0.6162*** (0.0680) |
0.67 |
0.1915 |
- 0.0553 (0.0382) |
0.16 |
0.0114 |
Chemicals |
- 0.2620*** (0.0836) |
0.33 |
0.0608 |
- 0.0929* (0.0484) |
0.29 |
0.0195 |
Food and Tobacco |
- 0.5180*** (0.1292) |
0.36 |
0.1460 |
- 0.1879*** (0.0542) |
0.49 |
0.0416 |
Iron and Steel |
- 0.3889*** (0.1113) |
0.32 |
0.0985 |
- 0.0642 (0.1055) |
0.11 |
0.0133 |
Machinery |
- 0.2305* (0.1365) |
0.31 |
0.0524 |
- 0.0549 (0.0499) |
0.45 |
0.0113 |
Transport Equipment |
- 0.9504*** (0.1127) |
0.68 |
0.6008 |
- 0.3104** (0.1253) |
0.23 |
0.0743 |
Non-Ferrous Metals |
- 0.5924*** (0.1426) |
0.38 |
0.1795 |
- 0.0439 (0.0932) |
0.10 |
0.0090 |
Non-Metallic Minerals |
- 0.5087*** (0.0980) |
0.55 |
0.1421 |
- 0.2089*** (0.0635) |
0.39 |
0.0469 |
Paper, Pulp and Printing |
- 0.6513*** (0.1033) |
0.60 |
0.2107 |
- 0.1053 (0.0783) |
0.24 |
0.0223 |
Textiles and Leather |
- 0.8612*** (0.1285) |
0.60 |
0.3949 |
- 0.2330*** (0.0545) |
0.33 |
0.0531 |
Wood and Wood Products |
- 1.0637*** (0.1941 |
0.60 |
-- |
- 0.2298*** (0.0650) |
0.47 |
0.0522 |
Standard errors in parentheses. Asterisks denote levels of significance: *** (1%), ** (5%), * (10%).
29
More intriguing information
1. The name is absent2. Fiscal federalism and Fiscal Autonomy: Lessons for the UK from other Industrialised Countries
3. The name is absent
4. The name is absent
5. Regional science policy and the growth of knowledge megacentres in bioscience clusters
6. Improving the Impact of Market Reform on Agricultural Productivity in Africa: How Institutional Design Makes a Difference
7. ENERGY-RELATED INPUT DEMAND BY CROP PRODUCERS
8. The name is absent
9. The name is absent
10. Do the Largest Firms Grow the Fastest? The Case of U.S. Dairies