Thứ Sáu, 26 tháng 2, 2016

Assessing the Cost of Protection in Vietnam After Becoming WTO’s Member

 Assessing the Cost of Protection in Vietnam After Becoming WTO’s Member


Nguyen Anh Thu

1Introduction
Since the economic reform in 1986, Vietnam has experienced extremely quick integration into the world market. Trade volume has increased sharply and the composition of Vietnams trading partners has broadened. Trade turnover in 1990 was roughly 6.2 billion USD, however, in 2005 it reached 69.2 billion USD and that of 2008 has been 143.4 billion USD. The growth of Vietnams trading rate in 2000─2005 period is 18.4%, which is 2.6 times the growth rate of Vietnams GDP. At the same time, the number of trading partners has increased, of which Asian countries constitute the most important trading partners of Vietnam, accounting for more than 50% of Vietnams trade.
Vietnam has become WTO member in 2006, which is one big step of its integration into the world market. Becoming WTOs member means that Vietnam has to fulfill its obligations regarding reducing tariffs, opening markets for foreign products but at the same time it can have more access to foreign markets.
Although the objective of WTO is freer trade all over the world, its negotiations of the Doha Round have been halted for a long time (Jones, 2009). Almost all countries in the world including Vietnam still maintain many restrictions on the movements of goods across borders. As widely accepted in economics, this will reduce surplus or gains from trade of all countries engaged. Restrictions of Vietnam on imports and restrictions of other countries on Vietnams export will reduce the consumers choices and will divert resources from industries where there are comparative advantages.
This papers objective is to estimate the welfare cost of protection in Vietnam before and after it became WTO member. Although the welfare cost of protection is confirmed in economics theory, the structure of protection in Vietnam is vivid (Prema-chandra Athukorala, 2006), quantitative analyses on Vietnams welfare cost of protection are still limited.
This paper applies gravity model to Vietnams trade data to evaluate trade potential and welfare cost of protection in Vietnam. It will then use the result of the regression to further estimate the effect of protection on the volume of Vietnams trade and to obtain rough estimates of the resulting welfare effects before and after Vietnam became WTO member.
2Methodology and data
1Model identification
Gravity model was first applied to international trade by Tinbergen (1962) And Pöynöhen (1963). The basic and simplest form of gravity model for international trade posits that the volume of trade between two trading partners is an increasing function of their national income, and a decreasing function of the distance between them. Gravity model was widely used in trade because most of its regressions fit data remarkably well (Anderson and Wincoop, 2003). However,


The model was criticized for lacking a theoretical basis. Works by Anderson (1979), Helpman and Krugman (1985) And Bergstrand (1985) Showed that gravity equations could be derived from trade models with product differentiation and increasing returns to scale. Deardorff (1998) Contributed to gravity model theoretical basis by showing that the gravity equation is consistent with several variants of the Ricardian and Heckscher-Ohlin models.
Gravity model is applied to answer many questions related to trade. Among them, a number of gravity analyses deal with various trade policy issues, such as the effects of national borders, the merits of proposed regional trade arrangements and the effects of protection and openness (Anderson et al., 2001 and Arvind Panagariya, 2002). Wall (1999) Applied gravity model to US trade data to estimate the effects of protection on the volume of US trade and roughly estimate the resulting welfare effects. Although the theoretical calculations of the cost of trade protection are well established, the empirical estimates of the costs are still very small due to the lack of estimation method and data. Wall (1999) Has provided a new method of estimating the costs of protection by applying gravity model, which requires less information than previous methods but still has the advantages of general equilibrium approach. The estimations of Wall (1999) Are much higher than in previous studies such as Baldwin (1984), Feenstra (1992), Hufbauer and Karen (1994), who found that cost of protection of the U. S. Was only 0.38 to 0.73% of the U. S. GDP. The reason for this low estimation is the use of partial equilibrium method. Wall (1999) Had used the gravity model to have general equilibrium approach.
In this paper, the model of Wall (1999) Is applied to trade data of Vietnam with its main trading partners for the period 20042008 in order to estimate the welfare cost of trade protection in Vietnam. The regression equation will take the form:
LnTijt = a + þ1Ln[Yit ]+ þ2 Ln J(Y/ P) ] + þ3 LnYjt + þ4 Ln J(Y/ P) ]

[ it ] [

jt ]

þ5 Dij + þ6 ASEANij +þ7 SCij + þ8 Indexjt + þ9WTOt

Indexjt + sijt


Where Tijt is the export or import of Vietnam to a partner country in the year t. Yit is the GDP of exporting country, (Y/P) It is the GDP per capita for the exporting country. J stands for importing country. D is the distance between the capital of VietnamHanoiand the capital city of the partner country. Index is the trade policy index for the
Importing country, and ɛ is an error term. To address characteristics of Vietnams trade patterns, three dummy variables
Were added: Traditional trade partner variableSC (Socialist country), ASEAN trade network variableASEAN, and Vietnams WTO membership variableWTO. In order to capture the relation between trade index and the WTO membership, the model introduces the interaction term between trade index variable and WTO membership dummy.
2Data
The data set is Vietnams merchandise imports and exports to and from 84 countries for the period 20042008. The data are obtained from UNCOMTRADE statistics. Table 1 shows 10 biggest trading partners of Vietnam and their bilateral trade with Vietnam in 2008.
National income dataGDP and per capita GDP are taken from the IMF statistics. All the trade data and GDP are
Converted into US dollars. The distance variable is the great-circle distance between Hanoi and capital city of the trading partner.
In order to quantify the level of freedom, the paper use trade policy index that is part of the Index of Economic Freedom published by the Heritage Foundation. The indices are calculated based on two inputs: The trade weighted average of tariffs and the non-tariff barriers (NTBs). NTBs include: Quantity restrictions, price restrictions, regulatory restrictions, investment restrictions, customs restrictions and the government direct interventions. The level of trade


Table 1 Top 10 Trading Partners of Vietnam (2008)
 (In thousand US dollars)


Country
Trade turnover
export
import
1
China
20,823,661
4850109
15973552
2
USA
14,554,848
11902833
2652014
3
Japan
16,708,057
8467749
8240307
4
Singapore
12,091,799
2713824
9377975
5
Korea
9,048,705
1793525
7255179
6
Thailand
6,194,167
1288546
4905620
7
Australia
5,709,476
4351579
1357897
8
Malaysia
4,626,454
2030402
2596052
9
Germany
3,553,332
2073423
1479908
10
Hong Kong
3,510,506
877189
2633317
Source: UNCOMTRADE statistics
Table 2 Top 10 Countries in Trade Policy Index (2008)


Country
Trade policy index
1
Hong Kong
95
2
Singapore
90
3
Switzerland
87.2
4
Canada
87
5
USA
86.8
6
Turkey
86.8
7
Israel
86.6
8
Kazakhstan
86.2
9
Norway
86.2
10
Germany
86
Source: Index of Economic Freedom 2008The Heritage Foundation
Freedom (or protection) Of a country is judged on a scale 0 to 100, where 100 is the ideal free of trade. Table 2 reported 10 countries having highest trade policy indices in 2008.
According to this scale, Vietnams score is 54.8 in 2004 and 62.8 in 2008, which is relatively low and means quite
High level of protection. In 2005, Vietnam weighted average tariff rate was 13.6% and that of 2008 is 10.7%. Although the Government has made progress in liberalizing trade volume, NTBs still account for 10% point deduction in Vietnam s free trade score. As listed by Heritage Foundation, those NTBs are import bans and restrictions, service market access barriers, import licensing requirements, nontransparent regulations, state trade in some commodities, weak enforcement of intellectual property rights, corruption and customs inconsistency.


Table 3 Regressions Results for Gravity Model of Vietnamʼs Trade in 20042008
Dependent Variable: Log of bilateral exports

Coefficient
Std. Error
t-Statistic
Prob.
Constant
12.22
1.29
9.50
0.00
Origin GDP (log)
0.93
0.06
15.91
0.00
Origin GDP per capita (log)
-0.10
0.06
-1.67
0.10
Destination GDP (log)
0.60
0.06
10.16
0.00
Destination GDP per capita (log)
0.04
0.09
0.50
0.62
Distance (log)
-0.99
0.13
-7.70
0.00
ASEAN
0.80
0.34
2.33
0.02
Socialist
-0.16
0.17
-0.91
0.36
Trade policy index
0.02
0.01
1.89
0.06
WTO* Index
0.00
0.00
0.99
0.32
R-squared 0.65
Observations 840

3Empirical results
Two least squared regressions of the gravity models were performed. The first, as described in , is under the restriction that the trading-pair intercepts are all equal, and the second, as in , relaxed this restriction by including fixed effects to control for unobservable pair-specific effects. However, the fixed effects were found insignificant.
LnTijt = a + þ1Ln[Yit ]+ þ2 Ln J(Y/ P) ] + þ3 LnYjt + þ4 Ln J(Y/ P) ]

[ it ] [

jt ]

þ5 Indexjt +þ6WTOt * Indexjt + sijt
Although the restriction equation (1) Assumed that trading-pair intercepts are all equal, it has included many explanatory variables which might capture specific effects of the trading pairs.
The results of this regression are reported in Table 3. Most of the explanatory variables are found to be significant. The coefficients of GDP have positive sign and has the value of 0.93 for exporting countries and 0.60 for importing country, which indicate that Vietnam trades more with the countries of bigger economic size. This result is consistent with the basic hypothesis of the gravity model.
In contrast, the estimation shows that the per capita GDP variables are not significant factors in explaining Vietnams trade volumes. This implies that trade volumes of Vietnam much depend on the size of the partner economy rather than on the per capita income. The empirical result is different from that of Frankel (1997), in which a predicted 1% increase in per capita GDP leads to about 0.1% increase in bilateral trade volume.
The distance variable is statistically significant with expected negative coefficient, meaning that geographical distance is an important factor in reducing Vietnams trade volume.
ASEAN variable is highly significant with the expected coefficient of 0.80. This implies the increase of 0.8% in trade volume of Vietnam with the partner country if the partner is an ASEAN member. High trade flows due to lower tariff and other trade facilitating commitments of ASEAN Free Trade Area (AFTA), which aims at 05% tariffs for all goods traded among ASEAN member countries. In contrast, the Socialist variables coefficient has negative sign and is


Table 4 Effects of Protection on Vietnamʼs Imports and Exports (2004)



Actual Vietnam’s trade (thousands US dollars)

Effects of protection (thousands US dollars)

Effects of protection as percent of trade
Effects of protection as percent of Vietnam’s GDP
Vietnam’s Imports
From countries in sample
28,166,299
12,195,468
43.3

30.39
From all countries
31,968,820
13,842,499
43.3
Vietnam’s Exports
To countries in the sample
25,225,697
12,380,118
49.07

28.53
To all countries
26,485,035
12,996,207
49.07

Table 5 Effects of Protection on Vietnamʼs Imports and Exports (2008)



Actual Vietnam’s trade (thousands US dollars)

Effects of protection (thousands US dollars)

Effects of protection as percent of trade
Effects of protection as percent of Vietnam’s GDP
Vietnam’s Imports
From countries in sample
71,660,127
10,070,641
14.05

12.62
From all countries
80,713,829
11,340,292
14.05
Vietnam’s Exports
To countries in the sample
60,146,137
17,172,225
28.55

19.92
To all countries
62,685,129
17,896,604
28.55

Insignificant, which means that Vietnams trade pattern does not depend on the former partners.
Coefficient on trade policy index is positive and significant at 10% level, showing that Vietnam will trade more with countries of lower protection or higher level of trade freedom. The interaction term between trade policy index and WTO membership dummy is found insignificant in this regression. This can be explained by the fact that Vietnam became WTO member in 2007, however, some of its commitments have been performed before 2007, and many of them will be fulfilled in the following years. Therefore, it requires longer time for this variable to show its significant effect on Vietnams trade.
4Welfare cost of protection
To calculate the total effects of Vietnams protection on Vietnams import and protection of other countries on Vietnams export, the regression results are applied to the data of 2004 and 2008. Firstly, the paper calculated the volume of goods that Vietnam would have imported from the countries in the sample if Vietnam has no protection, i. E.
The trade policy index equal to 100. Secondly, it then calculated the volume of goods that Vietnam would have exported to other countries in the sample if those countries have no protection. Finally, assuming that the effect of protection as percentage of trade is the same for the countries within and outside the sample, we will have the overall effect of protection on Vietnams trade with all the countries in the world. The results of these calculations are shown in Table 4 and Table 5.


Table 4 obviously shows that, in 2004, Vietnam imported more than 31.9 billion U. S. Dollar of goods from other countries, but would have imported 13.8 billion more if Vietnam had the policy of free trade. This means that protection has reduced the imports of Vietnam by 49.07%. Given the fact that Vietnams GDP is quite small and trade contributes greatly to GDP, this number amounts for about 30.39% of Vietnam GDP. By the empirical study of Wall (1999) For the year 1996, protection has caused to the U. S. 15.4% reduction in import, which is about 1.66% of U. S. GDP.
For the export side, Vietnam exported more than 26.4 billion U. S. Dollar of goods to other countries in 2004, but would have exported 12.9 billions more if other countries had free trade. Protection decreased the amount of Vietnam s export by 47.07%, which was 28.53% of Vietnams GDP. For the U. S. In 1996, Wall (1999) Estimated the reduction of 26.2% of export, which equals to 1.94% of GDP.
The results of 2008 have proved that the implementation of Vietnams commitments under WTO have significantly reduced the relative welfare cost of protection of Vietnam (Table 5). Specifically, the cost of protection for imported products in 2008 accounted for only 14.05% of trade, compared to 43.3% in 2004. Moreover, protection of other countries to Vietnam has reduced export of Vietnam by 28.55%, which is much lower than that of 2004. This fact clearly shows the benefits of joining WTO to Vietnam, although the fulfillment of Vietnams commitments under WTO is still limited (Roland-Holst, 2002 and Thanh, 2005).
5Conclusion
By using Vietnams bilateral trade data with 84 countries for the period 20042008 to estimate gravity model, this paper has found main influential factors on Vietnams trade, which are GDP, distance, ASEAN membership and trade policy index. These estimations follow closely the basic hypothesis of gravity model.
By using the results of the regressions to data of 2004 and 2008, the paper roughly estimates the welfare cost of protection of Vietnams before and after Vietnam became WTO member. Obviously, the relative welfare cost of protection has decreased along with the fulfillment of Vietnam commitments under WTO.
These results suggest the widely accepted and supported idea by economists: Countries will gain from free trade. ASEAN Free Trade Area (AFTA) Is also a good evidence for the advantage of free trade. That is, its membership has increased Vietnams trade volume with member countries by about 0.8%. By becoming WTO member in 2007, Vietnam is on the way to reduce its tariffs and eliminate NTBs, with the hope to obtain more gains from trade.
References
Anderson, J. E. (1979), A Theoretical Foundation for the Gravity Equation, American Economic Review, Vol. 69, pp. 106116. Anderson J. E. And Wincoop E. V. (2003), “Gravity with Gravitas: A Solution to the Border Puzzle”, American Economic Review,
Vol. 93, pp. 170192.
Anderson K., Francois J., Hertel T., Hoekman B. And Martin W. (2001), “The Cost of Rich (and Poor) Country Protection to Developing Countries”, Journal of African Economy, Vol. 10, Issue 3, pp. 227257.
Arvind Panagariya (2002), “Cost of Protection: Where Do We Stand?”, The American Economic Review, Vol. 92, Issue 2, pp. 175 179.
Baldwin, R. E. (1984), “Trade Policies in Developed Countries,”  Handbook of International Economics, Vol. 1, Ronald W. Jones and Peter B. Kenen, eds., North-Holland, pp. 571619.
Bergstrand, J. H. (1985), “The Gravity Equation in International Trade: Some Microeconomic Foundations and Empirical Evidence”, Review of Economics and Statistics, Vol. 67, pp. 474481.
Deardorff, V. A. (1998), “Determinants of Bilateral Trade: Does Gravity Work in a Neoclassical World?”, The Regionalization of the World Economy, Jeffrey A. Frankel, ed., University of Chicago Press, pp. 728.


Feenstra R. C. (1992), “How Costly is Protectionism?”, Journal of Economic Perspectives, Vol. 6, pp. 159178. Frankel, J., (1997), “Regional Trading Blocks”, Institute for International Economics, Washington, DC.
Helpman E., Krugman P. (1985), “Market Structure and Foreign Trade: Increasing Returns, Imperfect Competition, and the International Economy”, The Massachusetts Institute of Technology.
Hufbauer G. C. And Karen A. E. (1994), “Measuring the Costs of Protection in the United States”, Institute for International Economics.
Jones K. (2009), The Doha Blues: Institutional Crisis and Reform in the WTO, Oxford University Press, Inc.
Prema-chandra Athukorala (2006), “Trade Policy Reforms and the Structure of Protection in Vietnam”, The World Economy, Vol.
29, Issue 2, pp. 161187.
Pöyhönen P. (1963), “A Tentative Model for the Volume of Trade between countries”, Weltwirtschaftliches Archive, Vol. 90, pp.
93100.
Roland-Holst, D., Tarp, F., An, D. V., Thanh, V. T., Huong, P. L. And Minh, D. H. (2002), Vietnams Accession to the World Trade Organization: Economic Projections to 2020, CIEM/NIAS Discussion Paper DP0204.
Thanh, V. T. (2005) Vietnams Trade Liberalization and International Economic Integration: Evolution, Problems and Challenges,
ASEAN Economic Bulletin, Vol. 22, Issue 1, pp. 7591.
Wall J. H. (1999), “Using the Gravity Model to Estimate the Costs of Protection”, January/February Review of Federal Bank of Saint Louis, pp. 3340.
IMF data and statistics: Http: // imf. Org/external/ns/cs. Aspx? Id=28
Index of Economic Freedom 2008The Heritage Foundation: Http: // heritage. Org/Index/Ranking. Aspx
UNCOMTRADE statistics: Comtrade. Un. Org/db/default. Aspx
[グェン アン トウ ベトナム国家大学講師,横浜国立大学大学院国際社会科学研究科博士課程修了]

====================



>> More document reseach in  Science


==================



Không có nhận xét nào:

Đăng nhận xét