1. Introduction
The Doha Ministerial Declaration reaffirmed that provisions for special and differential treatment are an integral part of the WTO Agreements and agreed that all special and differential treatment provisions shall be reviewed with a view to strengthening them and making them more precise, effective and operational (paragraph 44). It further decided that modalities for the further commitments in agriculture, including provisions for special and differential treatment, should be established no later than 31 March 2003 (paragraph 14).
What might this mean in the context of the post-Doha negotiations on agriculture? The argument put forward in this paper is that the instruments to give effect to special and differential treatment (SDT) are in a state of flux (because of changes in national and multilateral trade policy), but that the principles remain valid and justify the creation of new instruments. One feature of a new SDT regime is likely to be that there is greater differentiation among WTO members, which in turn implies the establishment of objective criteria on which to determine the extent of differentiation. Following WTO precedent, these criteria would probably be established by other international bodies to which reference would be made in the Agreement on Agriculture (AoA) - for example, the United Nations list of the least developed countries (LDCs).
Old SDT
The history of SDT has been well documented (see, for example, Michalopoulos, 2000, Whalley, 1999 and Fukasaku, 2000). In essence, the argument is that:
In other words, the actionable SDT provisions in the Uruguay Round Agreement are weaker than in its predecessors because support for the approach to trade and development that underpinned them was relatively weak during the negotiations. There are plenty of non-actionable provisions, but many developing countries and observers are unhappy with their implementation. The WTO Secretariats assessment of SDT implementation of the AoA is summarized in Table 1.
Could there be a new SDT?
The obvious question is whether new circumstances and new trade and development strategies would justify new, actionable, SDT measures. The default answer would seem to be positive. Unless there is now a view that all countries are equal, so that one size fits all, there exists a potential case for SDT. Since few industrialized countries fail to differentiate between geographical regions and/or social groups in their domestic economic policy it would be inconsistent for them to argue that globally - where objective differences between regions are much greater than domestically - uniformity of policy should be the rule.
Table 1. Implementation of SDT under the AoA: WTO Secretariat assessment
Provision |
Usage |
Superior market access for developing countries |
Greater liberalization on tropical products and some others of
interest to developing countries. |
Transition periods |
Included in schedules. |
Domestic support for agricultural and rural development
subsidies |
Included in schedules. |
Higher de minimis for domestic subsidies |
Included in schedules. |
Lower reductions for export subsidies |
All ten developing countries with export subsidy reduction
commitments have used this provision. |
Export subsidies exempt from reduction |
Included in schedules, and some developing countries have used
the provision. |
Exemption from reduction commitments on diversification of
export prohibitions and restrictions |
No developing country has notified the use of such
measures. |
Exemption from reduction commitments in respect of public
stockholding for food security |
Included in schedules, and several developing countries have
used the provision. |
Exemption from reduction commitments for food subsidies to the
poor |
Included in schedules, and several developing countries have
used the provision. |
Exemption from reduction commitments for staple
foods |
Schedules of the Republic of Korea and the Philippines reflect
recourse to this provision. |
Developed country support for net food-importing developing
countries and least developed countries |
Monitoring has been included in most meetings of the Committee
on Agriculture. |
Source: Derived from WTO (2000), 23-27.Special and differential treatment is justified in cases where all three of the following criteria apply:
If every country is different, the only place to introduce modulation into WTO commitments is in the national schedules. And shared characteristics among a group of States have no operational importance if it is not possible to identify instruments that answer to those shared differences from other WTO members. The task, therefore, is to identify the groups and the appropriate instruments.
One area in which there appears to be a consensus is that developing countries may require special treatment that they do not currently receive with respect to WTO rules that are administratively or technically difficult or costly to implement (see Michalopoulos, 2000, Whalley, 1999, Finger and Schuler, 2000, Henson and Loader, 2001). These relate in particular to some of the new areas of trade policy and involve most directly the Agreement on the Application of Sanitary and Phytosanitary Measures (SPS). But they do not appear to be a special problem in the AoA itself because the removal of old protectionism (i.e. border measures and direct subsidies) is less advanced for temperate agricultural products than for industrial goods and tropical agriculture. Since the AoA is doing for temperate agriculture what the GATT did for other goods decades ago, the old issues still predominate.
However, it does not follow that there is no scope for new SDT. One strong candidate is in the area of food security. The special role of agriculture is a feature of several WTO members proposals to the Committee on Agriculture (not least the proposal of the EU, with its concern for multifunctionality).
It is evident that while some agricultural exporting countries are highly suspicious of multifunctionality as a (none too) covert means of perpetuating protectionism in industrialized countries, in many developing countries agriculture does play a major role in the economy and in the livelihoods of vulnerable people that sets it apart from other sectors.
This would seem to be precisely the area where SDT could come into play: to distinguish between genuine and justifiable claims for special treatment (especially if those receiving it were unlikely to cause major distortions to world trade) and those that are not. The rest of this paper considers the characteristics of country groups in relation to food security, how they might be measured, and what SDT might be justifiable. It is not the only exercise in this direction (see, for example, Diaz-Bonilla et al. 2000), but it is in the nature of the task that these exercises are complementary.
What is meant by the term justifiable? The WTO has a dual mandate, and different answers could be given under each. One goal is to foster the liberalization of world trade on the grounds that this is a common good. A foundation stone of the old SDT was that this assumption was questioned for countries on the periphery. More recently, though, opinion has tended to swing towards the notion that liberalization is generally good for development (and, therefore, that the burden of proof lies with those who wish to delay it).
But the WTO has another mandate which is, perhaps, a less controversial basis for SDT. This is to agree new rules for international trade. Since the WTO acts by consensus, rules can be adopted only if they are supported by all. And if some developing countries are reluctant to accept new rules, this will block progress. The justification for SDT is that it will provide an objective basis on which to modulate new rules and, hence, help consensus building.
2. Which States are food insecure?
The answer to the question which States are food insecure is not obvious, since it is people, and not countries, that are normally considered to be food secure or insecure. How can concepts and measures that have been developed in relation to individuals be applied to States? Is the prevalence of food insecurity best indicated by poverty indicators (like GDP per head), or are there countries that are especially food insecure even though they are not necessarily the poorest? And, once we have identified those that are food insecure, what practical modulation of current, or likely future, WTO commitments does this status justify?
What is national food insecurity?
If food insecure countries are to be given special support in the new round of agricultural negotiations (such as less onerous subsidy restrictions and priority food and financial assistance outside the WTO), it is important that they be identified correctly. By analogy to the analysis of individuals following Sen (Drèze and Sen, 1990), the food security of a country can be said to depend upon:
This suggests that the most food insecure countries are those that combine inadequate domestic production with an export structure (not necessarily just for agriculture) that is unsatisfactory inasmuch as they have one or more of the following characteristics:
It follows that neither low GDP nor dependence upon imported food is, by itself, necessarily an indicator of national food insecurity. Some modest importers would be more insecure than larger exporters - because they cannot afford greater imports! It is the combination of characteristics that is important.
Does existing WTO terminology adequately capture this combination? The answer is No. Within the WTO the term food security is used in a much narrower sense and relates primarily to the adequate supply of imported food. Some 20 countries are recognized as net food-importing developing countries (NFIDCs), and the 49 LDCs also receive special attention. This usage reflects concern that the liberalization of world agricultural trade could lead to a rise in world prices for commercial imports and a reduction in the volume of food aid. Yet only one NFIDC (Kenya) falls within the 30 countries with the lowest per caput availability (a fairly robust proxy for food insecurity), and three of those 30 are neither LDCs nor NFIDCs (see the annex to this paper).
But if the existing definitions appear inadequate, how could they be refined? The entitlements analysis demonstrates that, in one sense, almost all aspects of the WTO regime may have food security effects. For example, the Multifibre Arrangement, by restricting the clothing industries of many developing countries, has certainly impacted adversely on trade entitlements. But it is hard to imagine a consensus emerging in WTO for substantial and enforceable SDT treatment to all countries satisfying such broad criteria unless it was restricted to the very poorest and smallest among them.
The LDCs come close to satisfying these broad criteria. All have a low level of economic diversification, but limiting differentiated treatment to those countries alone would represent a substantial retreat from the present situation with respect to SDT. A reasonable working assumption is that there exist also some other countries that are food insecure - but how are they to be defined in a way that commands respect? Some focusing will be necessary. An operationally effective definition is needed to allow modulation of those WTO rules with greatest food security implications.
A first step towards establishing the criteria for membership of this group is to identify the areas of WTO rule-making that might be problematic, and why. This is done in the next section. Then, an initial illustrative analysis is made of criteria that are relevant to such concerns and of the range of countries captured by various thresholds.
3. The scope of SDT
Current provisions
To the extent that the food security implications of multilateral reforms have been identified, the texts agreed in WTO do not provide any direct operational measures to deal with the consequences, except in so far as that slower and lower commitments on market access and domestic subsidies are adequate to deal with the problem. The assumption from the various declarations made in the final texts is that such modulation of domestic measures by food insecure countries is not considered to be adequate.
The Marrakesh Agreement includes, for example, a Ministerial Decision on Measures Concerning the Possible Negative Effects of the Reform Programme on Least-Developed and Net Food-Importing Developing Countries which, inter alia, commits WTO to establish appropriate mechanisms to ensure that the implementation of the results of the Uruguay Round on trade in agriculture does not adversely affect the availability of food aid. Ministers further agreed to ensure that any agreement relating to agricultural export credits makes appropriate provision for differential treatment in favour of least developed and net food-importing developing countries. However, as is clear from Table 1, little concrete action has been undertaken.
There are two, not mutually exclusive, avenues for the future:
A precise identification of appropriate new SDT measures cannot be provided until there exists some greater understanding of the new rules likely to be adopted in the AoA negotiations. But there is an expectation that the new Round will cover all three of the main elements of the AoA architecture: market access, export subsidies and domestic subsidies. Any tightening of rules in these three areas will tend to cause concern in different groups of States. These are set out analytically in Table 2.
Table 2. Potential areas of concern over new agricultural trade rules
Rules on: |
Potential legitimate concerns in: |
Lowering import controls |
Countries aiming to increase domestic agricultural
production |
Reducing export subsidies |
Food-importing countries |
Reducing domestic subsidies |
Countries aiming to increase domestic production |
The interests of food insecure developing countries concerning market access will be largely focused on any obligations they accept in relation to their own barriers against imports. Many insecure countries either export primary commodities that face low barriers in OECD markets or else have preferential access to protected markets. For those exporting non-sensitive products, OECD liberalization is unlikely to result in any significant change (and, arguably, developing country liberalization is likely to be less important in stimulating world demand for their exports than is developing country growth). For countries with preferential access for sensitive products, preference erosion is likely to affect trade entitlements, but the main arena in which the pace of erosion is set is that of the importing countries rather than WTO. Although multilateral liberalization will erode (and eventually remove) preferences, it is unlikely that the current WTO Round will take more than one, modest step in this direction.
There are strong views about the desirability or otherwise of developing countries liberalizing their import regimes. But this brings us back to the central question posed earlier, which is whether WTOs rule-making or its liberalizing mission should take precedence when the two cannot easily be advanced simultaneously. Even among those who favour a broadly liberal trade policy for developing countries, there is a recognition that the agricultural sector of some developing countries has been artificially depressed by previous policies (including, above all, neglect) and that increasing agricultural production is a high priority. There could be a case, therefore, for allowing poor countries with large agricultural sectors some relief on liberalization in order to allow for greater incentives to domestic production.
Countries in which food imports represent a significant element in total supply but with fragile trade entitlements will also have an indirect interest in liberalization of market access. To the extent that it contributes to a decline in production in the most heavily protected markets (mainly those of OECD), it will tend to increase world prices.
Export subsidies
An increase in world prices following cut-backs in OECD production will tend to result in an adverse movement in the terms of trade of food-importing developing countries which may have an impact on food security for those with limited opportunities to boost exports or to increase domestic production. Such countries will be affected more directly by curbs on the export subsidies currently provided by a small number of OECD countries. Such curbs are likely to have an immediate impact on world prices, at least until the exports of non-subsidisers bounce back from their current, artificially depressed, levels to take advantage of the new opportunities.
Moreover, there may be longer-term effects. To the extent that exports from subsidisers are replaced by exports from non-subsidisers, there could be a reduction in the availability of imports to very poor countries even if world prices do not rise. This could occur if poor countries currently receive food aid or so-called grey imports (that do not qualify as food aid, but are sold at below market prices) from a subsidising country. There is no reason to suppose that the increase in exports from non-subsidisers will be made available to the same poor countries and on the same terms as the concessional exports that they replace.
Domestic subsidies
Countries in which there is an objective need to boost domestic agricultural production will also be concerned by any new WTO rules that limit the scope for domestic subsidies. It has been well remarked that few developing countries are able (or willing) to provide subsidies for agriculture that come anywhere close to the current limits. But a further tightening of such limits might cause difficulties in some instances.
4. Identifying and applying indicators
There are thus two categories of (possibly overlapping) countries that might be affected in different ways by change to the three principal elements of the current AoA architecture. These are:
Relevant indicators
What indicators exist to identify the countries that would be most vulnerable to such changes? At present there exist the LDC group, which may equate to the first category, and the NFIDC group, which is focused on the concerns of the second category. But are these sufficient?
An analysis of the types of indicator that might be relevant is provided in Table 3. This takes the two categories of countries identified in Table 2 and lists for each some illustrative indicators. One group consists of those countries in which agriculture is an important source of livelihoods but production is low (where a legitimate emphasis of policy is to boost agricultural production - a task that might be made more difficult by curbs on import controls or domestic subsidies). The other consists of those countries that are dependent on imports for a significant part of domestic consumption but have weak trade entitlements (and which would be vulnerable, therefore, to sudden increases in world prices).
Table 3. Relevant indicators for SDT
Characteristics of country |
Indicator |
Agriculture is important source of livelihoods but production
is low |
|
Import dependence with weak trade entitlements |
|
Similarly, a high share of food imports in GDP is a necessary criterion for establishing import dependency, but not a sufficient one. Low per capita calorie supply will indicate which among such countries have substantial vulnerable populations. On top of these, some indicator is required of a countrys weak trade entitlements. The indicator suggested in Table 3 is the composite vulnerability index compiled under the auspices of the Commonwealth Secretariat (Commonwealth Secretariat/World Bank 1999).
Calorie supply: the basic indicator
To what extent do these criteria overlap, either with each other or with the existing LDC and NFIDC groups? Tables 4 and 5 show what happens when an attempt is made to identify a coherent group of countries which have the optimum combination of characteristics. Table 4 starts with per capita calorie supply. The FAO/WHO-recommended minimum level is 2 300 calories per day. Since there will be substantial variations between consumption levels within a country it is unrealistic to characterise as low calorie availability only those countries with an average per capita supply below this minimum level. On the other hand, it would be inappropriate for WTO rules to give special consideration to countries just because they have highly unequal consumption patterns. A threshold of an average per capita calorie supply of 2 500 per day has been taken as an initial indicator to illustrate the range of countries that would be brought in by such a threshold. It allows for a limited degree of unequal calorie availability within a country.
Table 4 presents the 72 countries for which data are available that have an average per capita daily calorie supply of less than 2 000 in ascending order of calories. It also indicates whether or not the countries fall within the group of LDCs or NFIDCs.
It is evident that the LDC and NFIDC categories cover some but not all of the countries. Twenty-five of them are in neither category. Moreover, a further four are classified as LDCs but have a per capita daily calorie supply in excess of 2 500 (and range from Mauritania with 2 622 to Cape Verde with 3 015). Ten NFIDCs have a daily supply in excess of 2 500, (as high as 3 287 for Egypt). Hence the LDC and NFIDC categories combined cannot be used as an adequate indicator of food insecurity.
Table 4. Average daily per capita calorie supply in LDCs, NFIDCs and other vulnerable countries
Country |
Daily per capita calorie supply a
1997 |
Status (LDC or NFIDC)b |
Eritrea |
1 622 |
LDC |
Burundi |
1 685 |
LDC |
Dem. Rep. of the Congo |
1 755 |
LDC |
Mozambique |
1 832 |
LDC |
Comoros |
1 858 |
LDC |
Ethiopia |
1 858 |
LDC |
Haiti |
1 869 |
LDC |
Angola |
1 903 |
LDC |
Mongolia |
1 917 |
|
Zambia |
1 970 |
LDC |
Kenya |
1 976 |
NFIDC |
Tanzania, United Rep. of |
1 995 |
LDC |
Tajikistan |
2 001 |
|
Central African Rep. |
2 016 |
LDC |
Madagascar |
2 021 |
LDC |
Mali |
2 029 |
LDC |
Chad |
2 032 |
LDC |
Sierra Leone |
2 035 |
LDC |
Malawi |
2 043 |
LDC |
Cambodia |
2 048 |
LDC |
Yemen |
2 051 |
LDC |
Rwanda |
2 056 |
LDC |
Djibouti |
2 084 |
LDC |
Bangladesh |
2 085 |
LDC |
Uganda |
2 085 |
LDC |
Niger |
2 097 |
LDC |
Lao PDR |
2 108 |
LDC |
Cameroon |
2 111 |
|
Burkina Faso |
2 121 |
LDC |
Solomon Islands |
2 122 |
LDC |
SaoTome and Principe |
2 138 |
LDC |
Congo |
2 143 |
|
Zimbabwe |
2 145 |
|
Bolivia |
2 174 |
|
Namibia |
2 183 |
|
Botswana |
2 183 |
|
Nicaragua |
2 186 |
|
Papua New Guinea |
2 224 |
|
Guinea |
2 231 |
LDC |
Azerbaijan |
2 236 |
|
Lesotho |
2 243 |
LDC |
Dominican Rep. |
2 288 |
NFIDC |
Peru |
2 302 |
NFIDC |
Sri Lanka |
2 302 |
NFIDC |
Turkmenistan |
2 306 |
|
Venezuela |
2 321 |
NFIDC |
Guatemala |
2 339 |
|
Gambia |
2 350 |
LDC |
Thailand |
2 360 |
|
Antigua/Barbuda |
2 365 |
|
Philippines |
2 366 |
|
Nepal |
2 366 |
LDC |
Armenia |
2 371 |
|
Sudan |
2 395 |
LDC |
Honduras |
2 403 |
NFIDC |
Senegal |
2 418 |
LDC |
Guinea-Bissau |
2 430 |
LDC |
Panama |
2 430 |
|
Uzbekistan |
2 433 |
|
Bahamas |
2 443 |
|
Croatia |
2 445 |
|
Kyrgyzstan |
2 447 |
|
Togo |
2 469 |
LDC |
St Vincent |
2 472 |
NFIDC |
Pakistan |
2 476 |
NFIDC |
Cuba |
2 480 |
NFIDC |
Swaziland |
2 483 |
|
Viet Nam |
2 484 |
|
Maldives |
2 485 |
LDC |
Benin |
2 487 |
LDC |
Seychelles |
2 487 |
|
India |
2 496 |
|
a Amount available for human consumption. Per capita supply represents the average supply available for the population as a whole and does not necessarily indicate what is actually consumed by individuals. Source: UNDP, Human Development Report 2000, Table 23.Indicators of agricultural dependenceb For NFIDCs the definition is that of WTO.
To identify those countries in which the food insecurity may be agriculture-related, Table 5 brings together information on agricultural value added as a share of GDP. It shows the share of agriculture in GDP for all of the countries with a per capita daily calorie supply of under 2 500 (excluding six for which data are unavailable) and also for any other developing country where agriculture accounts for more than 20 percent of GDP. Those countries in the table in which average calorie supply exceeds 2 500 are indicated in italics. Once again, an indication is also given as to whether each country is a LDC or a NFIDC.
The LDC and NFIDC categories appear to overlap only partially with these other criteria of vulnerability. No less than 31 of the 76 countries in the table do not belong to either the LDC or the NFIDC category, and 19 of these have an agricultural sector that accounts for over 20 percent of GDP. The countries that would be excluded if only the criteria of calorie supply or LDC states were taken into account include Albania, Côte dIvoire, Guyana, Nigeria, Moldova, Georgia, Paraguay and Dominican Republic (using 20 percent as the agricultural cut-off point).
Table 5. Agricultural dependence and low-calorie status in LDCs, NFIDCs and other vulnerable countries
Country |
Daily per capita |
Percentage share of |
Status |
Guinea-Bissau |
2 430 |
62.4 |
LDC |
Albania |
2 961 |
54.4 |
|
Burundi |
1 685 |
54.2 |
LDC |
Myanmar |
2 862 |
53.2 |
LDC |
Lao PDR |
2 108 |
52.6 |
LDC |
Central African Rep. |
2 016 |
52.6 |
LDC |
Cambodia |
2 048 |
50.6 |
LDC |
Ethiopia |
1 858 |
49.8 |
LDC |
Rwanda |
2 056 |
47.4 |
LDC |
Mali |
2 029 |
47.0 |
LDC |
Kyrgyzstan |
2 447 |
46.0 |
|
Tanzania, United Rep. of |
1 995 |
45.7 |
LDC |
Uganda |
2 085 |
44.6 |
LDC |
Sierra Leone |
2 035 |
44.2 |
LDC |
Cameroon |
2 111 |
42.4 |
|
Togo |
2 469 |
42.1 |
LDC |
Niger |
2 097 |
41.4 |
LDC |
Nepal |
2 366 |
40.5 |
LDC |
Chad |
2 032 |
39.8 |
LDC |
Sudan |
2 395 |
39.3 |
LDC |
Comoros |
1 858 |
38.7 |
LDC |
Benin |
2 487 |
38.6 |
LDC |
Malawi |
2 043 |
35.9 |
LDC |
Guyana |
2 530 |
34.7 |
|
Mozambique |
1 832 |
34.3 |
LDC |
Nicaragua |
2 186 |
34.1 |
|
Burkina Faso |
2 121 |
33.3 |
LDC |
Armenia |
2 371 |
32.9 |
|
Mongolia |
1 917 |
32.8 |
|
Nigeria |
2 735 |
31.7 |
|
Uzbekistan |
2 433 |
31.2 |
|
Madagascar |
2 021 |
30.6 |
LDC |
Haiti |
1 869 |
30.4 |
LDC |
India |
2 496 |
29.3 |
|
Moldova |
2 567 |
28.9 |
|
Gambia |
2 350 |
27.4 |
LDC |
Pakistan |
2 476 |
26.4 |
NIFDC |
Kenya |
1 976 |
26.1 |
NIFDC |
Georgia |
2 614 |
26.0 |
|
Côte dIvoire |
2 610 |
26.0 |
NIFDC |
Viet Nam |
2 484 |
25.8 |
|
Paraguay |
2 566 |
24.9 |
|
Mauritania |
2 622 |
24.8 |
LDC |
Turkmenistan |
2 306 |
24.6 |
|
Papua New Guinea |
2 224 |
24.4 |
|
Guatemala |
2 339 |
23.3 |
|
Guinea |
2 231 |
22.4 |
LDC |
Bangladesh |
2 085 |
22.2 |
LDC |
Sao Tome and Principe |
2 138 |
21.3 |
LDC |
Sri Lanka |
2 302 |
21.1 |
NIFDC |
Azerbaijan |
2 236 |
20.3 |
|
Honduras |
2 403 |
20.3 |
NIFDC |
Dominica |
3 059 |
20.3 |
|
Zimbabwe |
2 145 |
19.5 |
|
Yemen |
2 051 |
17.6 |
LDC |
Senegal |
2 418 |
17.4 |
LDC |
Zambia |
1 970 |
17.3 |
LDC |
Philippines |
2 366 |
16.9 |
|
Maldives |
2 485 |
16.4 |
LDC |
Swaziland |
2 483 |
16.0 |
|
Bolivia |
2 174 |
15.4 |
|
Angola |
1 903 |
12.3 |
LDC |
Dominican Rep. |
2 288 |
11.7 |
NIFDC |
Congo |
2 143 |
11.5 |
|
Lesotho |
2 243 |
11.5 |
LDC |
Thailand |
2 360 |
11.2 |
|
St Vincent |
2 472 |
10.9 |
|
Namibia |
2 183 |
10.0 |
|
Croatia |
2 445 |
8.9 |
|
Panama |
2 430 |
7.9 |
|
Peru |
2 302 |
7.1 |
|
Tajikistan |
2 001 |
5.7 |
|
Venezuela |
2 321 |
5.0 |
|
Seychelles |
2 487 |
4.1 |
|
Antigua/Barbuda |
2 365 |
4.0 |
|
Botswana |
2 183 |
3.6 |
|
a Amount available for human consumption. Per capita supply represents the average supply available for the population as a whole and does not necessarily indicate what is actually consumed by individuals. Source: UNDP, Human Development Report 2000: Table 23.Calorie availability and size of agricultural sector have been taken as indicators of countries that might have objective concerns about lowering their agricultural import barriers and accepting lower ceilings for domestic subsidies. What legitimate concerns might other WTO members have over requests from these countries for SDT on market access and domestic subsidies? One set would include questioning of the developmental appropriateness of import controls and/or domestic subsidies by these countries. But, as indicated above, this paper takes as paramount WTOs rule-making rather than its liberalizing mandate. With this self-imposed limitation, the principal legitimate concern of other WTO members is whether agreeing to SDT for this group of countries would destabilize world markets.b Source: World Bank, World Development Indicators database website.
c For NFIDCs the definition is that of WTO.
How dangerous would it be to the international trade system if such countries were relieved of obligations in respect of import controls and domestic subsidies for agriculture? How likely is it that such relief would result in disruption to world trade? Two indicators are provided in Table 6. This takes the countries listed in Table 5[96] and shows for each the share of agricultural exports in GDP and the countrys share of world agricultural trade. These indicators are used on the assumption that the principal danger for other WTO members is that, sheltering behind high import barriers and benefiting from substantial subsidies, some of these countries might boost substantially their agricultural exports, in competition with those of other WTO members. (Arguably, another concern is that SDT will result in lower imports by these countries and hence in lower exports by other WTO members. But, given that all the countries covered by Table 5 are ones with low calorie availability, it can be inferred reasonably that any effect on global demand will be minimal.)
The countries in Table 6 are listed in descending order of their agricultural exports as a share of world exports. Only two countries - Thailand and India - account for over 1 percent of world agricultural exports, and only seven account for over 0.25 percent. Of these, only one (Côte dIvoire) has a per capita calorie supply exceeding the 2 500 threshold (although a further three - India, Viet Nam and Pakistan - come close).
Table 6. Trade share of vulnerable countries
Country |
Agricultural exports as a percentage share of: |
|
GDP (1999) |
World agricultural exports (2000) |
|
Thailand |
5.8 |
1.76 |
India |
1.0 |
1.20 |
Viet Nam |
8.5 |
0.53 |
Côte dIvoire |
21.2 |
0.46 |
Guatemala |
8.2 |
0.38 |
Philippines |
1.8 |
0.37 |
Pakistan |
2.0 |
0.26 |
Kenya |
9.7 |
0.25 |
Uzbekistan |
na |
0.24 |
Sri Lanka |
na |
0.23 |
Zimbabwe |
14.5 |
0.20 |
Peru |
1.3 |
0.17 |
Cuba |
na |
0.16 |
Paraguay |
7.5 |
0.15 |
Honduras |
8.3 |
0.14 |
Cameroon |
5.2 |
0.12 |
Nigeria |
1.3 |
0.12 |
Uganda |
6.9 |
0.11 |
Bolivia |
4.4 |
0.10 |
Ethiopia |
6.3 |
0.10 |
Papua New Guinea |
12.0 |
0.10 |
Croatia |
na |
0.09 |
Malawi |
20.0 |
0.09 |
Sudan |
na |
0.09 |
Dominican Rep. |
1.9 |
0.08 |
Nicaragua |
13.6 |
0.08 |
Panama |
3.2 |
0.08 |
Swaziland |
28.5 |
0.08 |
Tanzania, United Rep. of |
3.5 |
0.08 |
Moldova |
27.7 |
0.07 |
Venezuela |
0.4 |
0.07 |
Mali |
9.0 |
0.06 |
Myanmar |
na |
0.06 |
Guyana |
32.0 |
0.05 |
Kyrgyzstan |
na |
0.04 |
Senegal |
2.3 |
0.04 |
Bangladesh |
0.3 |
0.03 |
Benin |
5.7 |
0.03 |
Burkina Faso |
5.1 |
0.03 |
Namibia |
4.0 |
0.03 |
Niger |
5.5 |
0.03 |
Tajikistan |
n |
0.03 |
Togo |
8.3 |
0.03 |
Turkmenistan |
na |
0.03 |
Albania |
na |
0.02 |
Azerbaijan |
2.0 |
0.02 |
Botswana |
1.7 |
0.02 |
Chad |
5.7 |
0.02 |
Georgia |
1.3 |
0.02 |
Guinea-Bissau |
23.3 |
0.02 |
Madagascar |
2.2 |
0.02 |
Mongolia |
10.1 |
0.02 |
Nepal |
1.6 |
0.02 |
Yemen |
0.9 |
0.02 |
Zambia |
1.9 |
0.02 |
Bahamas |
na |
0.01 |
Burundi |
7.7 |
0.01 |
Cambodia |
1.5 |
0.01 |
Central African Rep. |
2.7 |
0.01 |
Dem. Rep. of the Congo |
na |
0.01 |
Djibouti |
na |
0.01 |
Dominican Republic |
na |
0.01 |
Gambia |
9.3 |
0.01 |
Guinea |
1.0 |
0.01 |
Haiti |
na |
0.01 |
Lao PDR |
2.2 |
0.01 |
Mauritania |
3.6 |
0.01 |
Mozambique |
0.8 |
0.01 |
Rwanda |
2.4 |
0.01 |
Solomon Islands |
na |
0.01 |
St Vincent |
na |
0.01 |
Congo |
0.8 |
0.01 |
Armenia |
1.0 |
0.004 |
Comoros |
3.4 |
0.002 |
Lesotho |
0.8 |
0.002 |
Sierra Leone |
1.2 |
0.002 |
Angola |
0.1 |
0.001 |
Eritrea |
0.5 |
0.001 |
Sao Tome and Principe |
10.6 |
0.001 |
Seychelles |
0.3 |
0.001 |
Antigua/Barbuda |
na |
0.0001 |
Maldives |
na |
0.00002 |
Sources: World Bank, World Development Indicators database website (GDP); FAO Statistical Databases website (agricultural export values).It goes beyond the scope of this initial essay to assess whether or not WTO members would consider countries supplying such low shares of world exports to be a threat and, if so, whether one could identify additional parameters for SDT (such as limiting it in such cases to staple foods) that would overcome the problem. Suffice it to note that a combination of the following criteria would include a larger number of low-calorie-supply countries (66) than does the LDC criterion alone (37):
Import dependency
It was suggested in Table 2 that poor countries, dependent upon agricultural imports and with weak trade entitlements, might legitimately be concerned about industrialised country actions that would tend to increase the price, or otherwise reduce the availability, of food imports. The appropriate SDT in such cases would not be relief from tougher rules governing their own trade and production policies, but compensatory action (either within WTO or by prior agreement via other institutions) to help them to adjust to such change.
One key issue for the Doha Round is how such compensating action is to be enforced; this falls outside the scope of the present study. Another is whether a better categorization of such countries can be obtained. The aim of the LDC and NFIDC categories combined is to identify such countries, but one may question how well this is achieved.
Table 7 provides an illustration of the inadequacy of the existing categories. The table shows calorie availability, the vulnerability index, agricultural imports as a share of GDP, and LDC/NFIDC status for:
The countries are listed in descending order of agricultural imports as a share of GDP.
Table 7. Trade vulnerability and low-calorie status
Country |
Daily per capita |
Composite |
Agric. imports: as |
Status |
Gambia |
2 350 |
9.331 |
27.87 |
LDC |
Sao Tome and Principe |
2 138 |
7.69 |
19.98 |
LDC |
Sierra Leone |
2 035 |
5.06 |
19.51 |
LDC |
Mauritania |
2 622 |
6.068 |
19.40 |
LDC |
Lesotho |
2 243 |
5.985 |
18.68 |
LDC |
Swaziland |
2 483 |
9.633 |
17.76 |
|
Comoros |
1 858 |
5.425 |
14.26 |
LDC |
Nicaragua |
2 186 |
4.92 |
13.50 |
|
Yemen |
2 051 |
5.259 |
11.46 |
LDC |
St Lucia |
2 734 |
7.449 |
10.68 |
NFIDC |
Senegal |
2 418 |
5.026 |
10.40 |
LDC |
Seychelles |
2 487 |
6.375 |
9.01 |
|
Guyana |
2 530 |
7.953 |
8.31 |
|
Honduras |
2 403 |
5.373 |
8.07 |
NFIDC |
Mauritius |
2 917 |
6.51 |
7.37 |
NFIDC |
St Kitts/Nevis |
2 771 |
6.362 |
7.01 |
NFIDC |
Angola |
1 903 |
6.282 |
6.80 |
LDC |
Niger |
2 097 |
4.957 |
6.70 |
LDC |
Fiji |
2 865 |
8.888 |
6.55 |
|
Jamaica |
2 553 |
7.484 |
6.46 |
NFIDC |
Belize |
2 907 |
6.652 |
6.39 |
|
Botswana |
2 183 |
10.158 |
6.15 |
NFIDC |
Benin |
2 487 |
5.06 |
6.00 |
LDC |
Papua New Guinea |
2 224 |
6.308 |
5.93 |
|
Togo |
2 469 |
5.248 |
5.47 |
LDC |
Nepal |
2 366 |
5.173 |
5.20 |
LDC |
Malaysia |
2 977 |
5.903 |
5.00 |
|
Burkina Faso |
2 121 |
4.923 |
4.65 |
LDC |
Mozambique |
1 832 |
4.907 |
4.55 |
LDC |
Bangladesh |
2 085 |
4.744 |
4.51 |
LDC |
Congo |
2 143 |
5.961 |
4.49 |
|
Panama |
2 430 |
4.995 |
4.16 |
|
Pakistan |
2 476 |
4.795 |
3.95 |
NFIDC |
Uganda |
2 085 |
4.876 |
3.77 |
LDC |
Philippines |
2 366 |
4.595 |
3.51 |
|
Mali |
2 029 |
5.083 |
3.48 |
LDC |
Guinea |
2 231 |
5.282 |
3.71 |
LDC |
Rwanda |
2 056 |
4.797 |
3.63 |
LDC |
Central African Rep. |
2 016 |
4.802 |
3.37 |
LDC |
Guatemala |
2 339 |
4.431 |
3.33 |
|
Namibia |
2 183 |
6.527 |
3.31 |
|
Dominican Rep. |
2 288 |
4.858 |
3.21 |
NFIDC |
Kenya |
1 976 |
4.935 |
3.12 |
NFIDC |
Zimbabwe |
2 145 |
4.969 |
2.97 |
|
Tanzania, United Rep. of |
1 995 |
5.035 |
2.96 |
LDC |
Zambia |
1 970 |
5.549 |
2.80 |
LDC |
Ethiopia |
1 858 |
4.786 |
2.55 |
LDC |
Malawi |
2 043 |
5.200 |
2.44 |
LDC |
Bolivia |
2 174 |
4.691 |
2.37 |
|
Chad |
2 032 |
5.120 |
2.24 |
LDC |
Burundi |
1 685 |
4.929 |
2.11 |
LDC |
Madagascar |
2 021 |
4.785 |
1.90 |
LDC |
Peru |
2 302 |
4.461 |
1.88 |
NFIDC |
Thailand |
2 360 |
4.264 |
1.87 |
|
Cameroon |
2 111 |
4.952 |
1.60 |
|
Venezuela |
2 321 |
4.887 |
1.37 |
NFIDC |
India |
2 496 |
3.782 |
0.86 |
|
Antigua/Barbuda |
2 365 |
11.246 |
na |
|
Bahamas |
2 443 |
10.433 |
na |
|
Dem. Rep. of the Congo |
1 755 |
5.186 |
na |
LDC |
Djibouti |
2 084 |
7.932 |
na |
LDC |
Dominica |
3 059 |
8.122 |
na |
|
Gabon |
2 556 |
6.229 |
na |
|
Grenada |
2 768 |
7.848 |
na |
|
Haiti |
1 869 |
4.474 |
na |
LDC |
Maldives |
2 485 |
8.654 |
na |
LDC |
Solomon Islands |
2 122 |
8.398 |
na |
LDC |
Sri Lanka |
2 302 |
5.076 |
na |
NFIDC |
St Vincent/Grenadines |
2 472 |
6.563 |
na |
NFIDC |
Sudan |
2 395 |
4 655 |
na |
LDC |
Vanuatu |
2 700 |
13.295 |
na |
LDC |
Notes:The table suggests that the LDC and NFIDC categories miss some countries that ought to be included. For example, if one takes agricultural imports of over 5 percent of GDP as a threshold, there are three countries that (i) do not fall into either group and for which agricultural imports exceed this level and (ii) daily calorie supply is below 2 500 per capita and (iii) trade vulnerability is high. This number increases to five if the countries at the foot of the table (for which import and/or GDP data are not available) are assessed on the basis of the other two criteria.a Amount available for human consumption. Per capita supply represents the average supply available for the population as a whole and does not necessarily indicate what is actually consumed by individuals. Source: UNDP, Human Development Report 2000: Table 23.
b Commonwealth Secretariat/Word Bank, 1999.
c World Bank, World Development Indicators database website (GDP); FAO Statistical Databases website (agricultural import values).
At the same time, six of the 20 NFIDCs[97] and five LDCs[98] do not appear in the table at all, indicating that they have over 2 500 calories per capita plus either a lower trade vulnerability and/or agricultural import dependence. Since the source of most compensatory assistance will probably be the main aid donors (regardless of the institutional route through which it is provided), and given that they recognise the LDC group as one for special aid attention, the absence of some LDCs from Table 7 is probably not serious. If one identified as the countries requiring special concern all LDCs plus non-LDCs that have low calorie availability, high trade vulnerability, and significant proportionate food imports, then coverage would be reasonably good.
Next steps
The principal focus of action for food insecure countries is to remove the causes of the insecurity, i.e. to address the problem of low domestic production and weak exports. Many of the more important measures fall well outside the ambit of WTO, but there is none the less scope for ample action within the Organization.
The minimum requirement is that nothing agreed in the AoA should make matters worse. This includes avoiding rule changes that might make it even more difficult than is currently the case for food insecure countries to pursue policies that have proved to be useful in supporting food security. These are described in Table 8, which identifies the area of WTO rules that might constrain government action, the AoA provisions available to developing countries and most widely used by them, the types of change that might be proposed in the current negotiations, and some potential alternative instruments.
But action can go further than this. For example, many WTO rule changes could have an effect on export diversification by food insecure countries - and this effect will not always be favourable. Such potential effects need to be identified, and the right recognized of food insecure countries to oppose them unless appropriate, actionable supporting measures are agreed.
Lobbying for such positive treatment is likely to cause friction if it is done on behalf of countries that have a significant effect on world trade and are not especially food insecure (even though they may import a lot of food). A major technical task is, therefore, to produce objective indicators of relative national food insecurity that could constitute a basis for group formation.
Table 8. Provisions relating to food security in the Agreement on Agriculture
Food security |
Related WTO |
AoA provisions |
Types of |
Potential |
Input credits and subsidies; capital expenditure in
agriculture; food price stabilization and subsidies |
Domestic subsidies |
SDT exemptions from cuts in agricultural investment and input
subsidies for poor farmers 10 percent de minimis exemption LDCs exempt
from any cuts |
Erosion of SDT provisions on investment and input subsidies
Cut in de minimis provisions |
Recalculation of AMS Redesign of green box |
All policies involving government expenditure; export
development; protection to domestic farmers |
Tariffs |
High bound rates containing water Lower (for
developing) and zero (for least developed) tariff -cutting obligations |
Removal of water from tariffs before end of
developed country subsidized production |
Provision of SSGs Countervailing duties |
Labour-intensive public works and targeted feeding programmes;
food stamps |
Export subsidies |
Food aid exempt from developed country reduction
commitments |
Reduction of subsidized imports available to vulnerable
countries and groups that is more rapid than feasible adjustment |
Targeting of concessional food (possibly outside WTO
framework) |
Source: Adapted from Stevens et al. (2000).
Annex - Daily per capita supply of calories in 1997 in LDCs and NFIDCs and other vulnerable countries
Rank |
Countrya |
Status |
Daily per capita |
1 |
Eritrea |
LDC |
1 622 |
2 |
Burundi |
LDC |
1 685 |
3 |
Dem. Rep. of the Congo |
LDC |
1 755 |
4 |
Mozambique |
LDC |
1 832 |
5 |
Comoros |
LDC |
1 858 |
6 |
Ethiopia |
LDC |
1 858 |
7 |
Haiti |
LDC |
1 869 |
8 |
Angola |
LDC |
1 903 |
9 |
Mongolia |
|
1 917 |
10 |
Zambia |
LDC |
1 970 |
11 |
Kenya |
NFIDC |
1 976 |
12 |
Tanzania, United Rep. of |
LDC |
1 995 |
13 |
Tajikistan |
|
2 001 |
14 |
Central African Republic |
LDC |
2 016 |
15 |
Madagascar |
LDC |
2 021 |
16 |
Mali |
LDC |
2 029 |
17 |
Chad |
LDC |
2 032 |
18 |
Sierra Leone |
LDC |
2 035 |
19 |
Malawi |
LDC |
2 043 |
20 |
Cambodia |
LDC |
2 048 |
21 |
Yemen |
LDC |
2 051 |
22 |
Rwanda |
LDC |
2 056 |
23 |
Djibouti |
LDC |
2 084 |
24 |
Bangladesh |
LDC |
2 085 |
25 |
Uganda |
LDC |
2 085 |
26 |
Niger |
LDC |
2 097 |
27 |
Lao PDR. |
LDC |
2 108 |
28 |
Cameroon |
|
2 111 |
29 |
Burkina Faso |
LDC |
2 121 |
30 |
Solomon Islands |
LDC |
2 122 |
31 |
Sao Tome and Principe |
LDC |
2 138 |
32 |
Congo |
|
2 143 |
33 |
Zimbabwe |
|
2 145 |
34 |
Bolivia |
|
2 174 |
35 |
Botswana |
NFIDC |
2 183 |
36 |
Namibia |
|
2 183 |
37 |
Nicaragua |
|
2 186 |
38 |
Papua New Guinea |
|
2 224 |
39 |
Guinea |
LDC |
2 231 |
40 |
Azerbaijan |
|
2 236 |
41 |
Lesotho |
LDC |
2 243 |
42 |
Dominican Republic |
NFIDC |
2 288 |
43 |
Peru |
NFIDC |
2 302 |
44 |
Sri Lanka |
NFIDC |
2 302 |
45 |
Turkmenistan |
|
2 306 |
46 |
Venezuela |
NFIDC |
2 321 |
47 |
Guatemala |
|
2 339 |
48 |
Gambia |
LDC |
2 350 |
49 |
Thailand |
|
2 360 |
50 |
Antigua and Barbuda |
|
2 365 |
51 |
Philippines |
|
2 366 |
52 |
Nepal |
LDC |
2 366 |
53 |
Armenia |
|
2 371 |
54 |
Sudan |
LDC |
2 395 |
55 |
Honduras |
NFIDC |
2 403 |
56 |
Senegal |
LDC |
2 418 |
57 |
Guinea-Bissau |
LDC |
2 430 |
58 |
Panama |
|
2 430 |
59 |
Uzbekistan |
|
2 433 |
60 |
Bahamas |
|
2 443 |
61 |
Croatia |
|
2 445 |
62 |
Kyrgyzstan |
|
2 447 |
63 |
Togo |
LDC |
2 469 |
64 |
Saint Vincent and the Grenadines |
NFIDC |
2 472 |
65 |
Pakistan |
NFIDC |
2 476 |
66 |
Cuba |
NFIDC |
2 480 |
67 |
Swaziland |
|
2 483 |
68 |
Viet Nam |
|
2,484 |
69 |
Maldives |
LDC |
2 485 |
70 |
Benin |
LDC |
2 487 |
71 |
Seychelles |
|
2 487 |
72 |
India |
|
2 496 |
73 |
Guyana |
|
2 530 |
74 |
Jamaica |
NFIDC |
2 553 |
75 |
Gabon |
|
2 556 |
76 |
El Salvador |
|
2 562 |
77 |
Paraguay |
|
2 566 |
78 |
Moldova, Rep. of |
|
2 567 |
79 |
Colombia |
|
2 597 |
80 |
Côte dIvoire |
NFIDC |
2 610 |
81 |
Ghana |
|
2 611 |
82 |
Georgia |
|
2 614 |
83 |
Iraq |
|
2 619 |
84 |
Mauritania |
LDC |
2 622 |
85 |
Costa Rica |
|
2 649 |
86 |
Trinidad and Tobago |
NFIDC |
2 661 |
87 |
Macedonia, TFYR |
|
2 664 |
88 |
Suriname |
|
2 665 |
89 |
Ecuador |
|
2 679 |
90 |
Bulgaria |
|
2 686 |
91 |
Vanuatu |
LDC |
2 700 |
92 |
Saint Lucia |
NFIDC |
2 734 |
93 |
Nigeria |
|
2 735 |
94 |
Grenada |
|
2 768 |
95 |
Saint Kitts and Nevis |
NFIDC |
2 771 |
96 |
Saudi Arabia |
|
2 783 |
97 |
Ukraine |
|
2,795 |
98 |
Chile |
|
2 796 |
99 |
Uruguay |
|
2 816 |
100 |
Iran, Islamic Rep. of |
|
2 836 |
101 |
Estonia |
|
2 849 |
102 |
Algeria |
|
2 853 |
103 |
Brunei Darussalam |
|
2 857 |
104 |
Myanmar |
LDC |
2 862 |
105 |
Latvia |
|
2 864 |
106 |
Fiji |
|
2 865 |
107 |
Indonesia |
|
2 886 |
108 |
China |
|
2 897 |
109 |
Russian Federation |
|
2 904 |
110 |
Belize |
|
2 907 |
111 |
Mauritius |
NFIDC |
2 917 |
112 |
Japan |
|
2 932 |
113 |
Albania |
|
2 961 |
114 |
Brazil |
|
2 974 |
115 |
Malaysia |
|
2 977 |
116 |
Slovakia |
|
2 984 |
117 |
South Africa |
|
2 990 |
118 |
Jordan |
|
3 014 |
119 |
Cape Verde |
LDC |
3 015 |
120 |
Dominica |
|
3 059 |
121 |
Morocco |
NFIDC |
3 078 |
122 |
Kazakhstan |
|
3 085 |
123 |
Argentina |
|
3 093 |
124 |
Kuwait |
|
3 096 |
125 |
Mexico |
|
3 097 |
126 |
Finland |
|
3 100 |
127 |
Slovenia |
|
3 101 |
128 |
Iceland |
|
3 117 |
129 |
Canada |
|
3 119 |
130 |
Korea, Rep. of |
|
3 155 |
131 |
Barbados |
NFIDC |
3 176 |
132 |
Sweden |
|
3 194 |
133 |
Hong Kong, China (SAR) |
|
3 206 |
134 |
Switzerland |
|
3 223 |
135 |
Australia |
|
3 224 |
136 |
Belarus |
|
3 225 |
137 |
Czech Republic |
|
3 244 |
138 |
Romania |
|
3 253 |
139 |
Lithuania |
|
3 261 |
140 |
United Kingdom |
|
3 276 |
141 |
Lebanon |
|
3 277 |
142 |
Israel |
|
3 278 |
143 |
Tunisia |
NFIDC |
3 283 |
144 |
Netherlands |
|
3 284 |
145 |
Egypt |
NFIDC |
3 287 |
a In ascending order of number of calories available for human consumption. The table includes all LDCs (other than Afghanistan, Bhutan, Equatorial Guinea, Kiribati, Liberia, Samoa, Somalia and Tuvalu, for which data were not available) and all NFIDCs, and all other countries lower ranked than the highest of these.b For NFIDCs the definition is that of WTO.
c Amount available for human consumption. Per capita supply represents the average supply available for the population as a whole and does not necessarily indicate what is actually consumed by individuals. Source: FAO (1999), "Food Balance Sheets." (http://apps.fao.org).
Source: Derived from UNDP (2000), Table 23.
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