Table A.58 Past and present ad valorem equivalents of nontariff barriers in Korea (percent)
NTB AVE |
Assumed | ||||
GTAP |
GTAP |
Tariff lines |
NTB AVE past |
present |
change from |
code |
sector |
(HS6 level) |
(circa 1989) |
(circa 2001) |
1990 to 2000 |
1 |
Paddy rice |
2 |
158.7 |
77.6 |
-0.51 |
2 |
Wheat |
2 |
72.6 |
35.5 |
-0.51 |
3 |
Cereal grains, other |
6 |
96.0 |
47.0 |
-0.51 |
4 |
Vegetables, fruit, nuts |
78 |
71.9 |
35.2 |
-0.51 |
5 |
Oil seeds |
11 |
62.2 |
30.5 |
-0.51 |
6 |
Sugar cane, sugar beet |
2 |
19.3 |
9.4 |
-0.51 |
7 |
Plant-based fibers |
7 |
0.0 |
0.0 |
-0.51 |
8 |
Crops, other |
57 |
34.7 |
17.0 |
-0.51 |
9 |
Bovine cattle, sheep and goats, horses |
8 |
77.3 |
37.8 |
-0.51 |
10 |
Animal products, other |
39 |
34.9 |
17.1 |
-0.51 |
12 |
Wool, silkworm cocoons |
4 |
0.0 |
0.0 |
-0.51 |
13 |
Forestry |
21 |
16.6 |
8.1 |
-0.51 |
14 |
Fishing |
39 |
48.0 |
23.5 |
-0.51 |
15 |
Coal |
6 |
0.0 |
0.0 |
-0.51 |
16 |
Oil |
1 |
0.0 |
0.0 |
-0.51 |
17 |
Gas |
2 |
108.4 |
53.0 |
-0.51 |
18 |
Minerals, other |
70 |
2.7 |
1.3 |
-0.51 |
19 |
Bovine meat products |
26 |
76.4 |
37.4 |
-0.51 |
20 |
Meat products, other |
25 |
78.6 |
38.5 |
-0.51 |
21 |
Vegetable oils and fats |
42 |
42.6 |
20.8 |
-0.51 |
22 |
Dairy products |
18 |
145.9 |
71.4 |
-0.51 |
23 |
Processed rice |
2 |
56.2 |
27.5 |
-0.51 |
24 |
Sugar containing products |
7 |
93.0 |
45.5 |
-0.51 |
25 |
Food products, other |
233 |
70.1 |
34.3 |
-0.51 |
26 |
Beverages and tobacco products |
26 |
46.1 |
22.6 |
-0.51 |
27 |
Textiles |
540 |
31.5 |
15.4 |
-0.51 |
28 |
Wearing apparel |
233 |
1.2 |
0.6 |
-0.51 |
29 |
Leather products |
59 |
0.0 |
0.0 |
-0.51 |
30 |
Wood products |
73 |
2.7 |
1.3 |
-0.51 |
31 |
Paper products |
134 |
4.8 |
2.3 |
-0.51 |
32 |
Petroleum, coal products |
12 |
27.9 |
13.6 |
-0.51 |
33 |
Chemical, rubber, plastic products |
870 |
14.1 |
6.9 |
-0.51 |
34 |
Mineral products, other |
140 |
7.3 |
3.6 |
-0.51 |
35 |
Ferrous metals |
142 |
0.0 |
0.0 |
-0.51 |
36 |
Metals, other |
166 |
0.4 |
0.2 |
-0.51 |
37 |
Metal products |
204 |
9.9 |
4.8 |
-0.51 |
38 |
Motor vehicles and parts |
54 |
3.9 |
1.9 |
-0.51 |
39 |
Transport equipment, other |
81 |
23.2 |
11.4 |
-0.51 |
40 |
Electronic equipment |
95 |
27.1 |
13.3 |
-0.51 |
41 |
Machinery and equipment, other |
824 |
14.4 |
7.1 |
-0.51 |
42 |
Manufactures, other |
170 |
9.7 |
4.7 |
-0.51 |
Simple average |
38.8 |
19.0 | |||
Note: No Korean NTB data are available in Kee et al. (2005). Estimated AVE of Japa |
nese NTBs are used as a |
proxy. |
Sources: Kee, Nicita, and Olarreaga (2005); Sazanami, Urata, and Kawai (1995); authors' calculations.
106
More intriguing information
1. Regional dynamics in mountain areas and the need for integrated policies2. Testing Panel Data Regression Models with Spatial Error Correlation
3. Business Cycle Dynamics of a New Keynesian Overlapping Generations Model with Progressive Income Taxation
4. Learning-by-Exporting? Firm-Level Evidence for UK Manufacturing and Services Sectors
5. The name is absent
6. The name is absent
7. Response speeds of direct and securitized real estate to shocks in the fundamentals
8. Knowledge, Innovation and Agglomeration - regionalized multiple indicators and evidence from Brazil
9. Nonlinear Production, Abatement, Pollution and Materials Balance Reconsidered
10. Staying on the Dole