Extending Special and Differential Treatment (SDT) in Agriculture
for Developing Countries

Christopher Stevens

Institute of Development Studies

24 April 2002

Introduction

The Doha Ministerial Declaration re-affirmed that ‘provisions for special and differential treatment are an integral part of the WTO agreements’, and it 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’ [para. 44]. The Ministerial Declaration also requires ‘modalities for the further commitments, including provisions for special and differential treatment, [to] be established no later than 31 March 2003’ [para. 14].

What might this mean in the context of the Agreement on Agriculture (AoA) negotiations? 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 of treatment between WTO members which, in turn, implies the establishment of objective criteria on which to determine the differentiation. Following WTO precedent, these criteria would probably be established by other international bodies to which reference would be made in the AoA (as with the UN-defined list of least developed states (LDCs)).

‘Old’ SDT

The history of SDT has been well covered [for example by Michalopoulos 2000, Whalley 1999 and Fukasaku 2000]. In essence, the argument is that:

♦ SDT had its origins in a view of trade and development that questioned the desirability of developing countries liberalising border measures at the same pace as industrialised countries;

♦ the popularity of this approach was (possibly temporarily) in decline in many developing country governments during the negotiation period for the Uruguay Round Agreement;

♦ consequently, many SDT provisions on border measures and subsidies envisage developing countries (other than the LDCs) following a similar path to that of the industrialised countries but at a slower pace;

other SDT provisions (particularly those covering positive support to developing countries via financial and technical assistance or technology transfer) were not agreed in a form that is enforceable within the WTO system.

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 those negotiations. There are plenty of ‘non-actionable’ provisions, but many developing countries and observers are unhappy with implementation. The WTO Secretariat’s assessment of SDT implementation of the AoA [WTO 2000] is summarised 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 industrialised 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 is the case domestically – uniformity of policy should be the rule.

Table 1. Implementation of SDT under AoA: WTO Secretariat assessment

    Provision

    Usage

    Superior market access for developing countries
    (Preamble)

    Greater liberalisation on tropical products and some others of interest to developing countries.

    Transition periods
    (Article 15.2)

    Included in schedules.

    Domestic support for agricultural and rural development subsidies
    (Article 6.2)

    Included in schedules.

    Higher de minimis for domestic subsidies
    (Article 6.4 (b))

    Included in schedules.

    Lower reductions for export subsidies
    (Article 9.2(b)(iv))

    All ten developing countries with export subsidy reduction commitments have used this provision.

    Export subsidies exempt from reduction
    (Article 9.4)

    Included in schedules, and some developing countries have used the provision.

    Exemption from reduction commitments on diversification of export prohibitions and restrictions
    (Article 12.2)

    No developing country has notified the use of such measures.

    Exemption from reduction commitments in respect of public stockholding for food security
    (Annex 2, para. 3, footnote 5)

    Included in schedules, and several developing countries have used the provision.

    Exemption from reduction commitments for food subsidies to the poor
    (Annex 2, para. 4, footnotes 5 & 6)

    Included in schedules, and several developing countries have used the provision.

    Exemption from reduction commitments for staple foods
    (Annex 5, Section B)

    Schedules of Korea and the Philippines reflect recourse to this provision.

    Developed country support for net food-importing developing countries and LDCs
    (Article 16.1 & 16.2)

    Monitoring has been included in most meetings of the Committee on Agriculture.

    Source: derived from WTO 2000: 23–7.

SDT is justified in cases where all three of the following criteria apply:

♦ a single, uniform policy is inappropriate for all WTO members;

♦ broad groups of states share similar characteristics;

it is possible to identify variations in the scope or implementation of WTO rules that are appropriate to the circumstances of each broad group.

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 on 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. They touch agriculture most directly in relation to the Agreement on the Application of Sanitary and Phytosanitary Measures (SPS).

But they do not appear to be a special problem in the AoA. This is because the task of removing ‘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.

But this does not mean 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 that of the EU, with its concern for ‘multifunctionality’).

It is evident that:

♦ some agricultural exporting countries are highly suspicious of multifunctionality as a (none too) covert means of perpetuating industrialised country protectionism; but

for 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 play a role: 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 begins an exploration of 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 liberalisation 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 liberalisation 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 it 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.

Which States are Food Insecure?

The answer to the question ‘which states are food insecure’ is not obvious, since it is people 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, having identified states 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 states are to be given special support in the AoA 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 state can be said to depend upon:

♦ its production entitlements, which reflect the food that can be produced domestically;

♦ its trade entitlements, which reflect its ability to earn sufficient foreign exchange with exports to purchase imported food; and

its transfer entitlements, which cover food that can be obtained either directly through food aid or indirectly by (semi-)commercial imports financed through financial aid.

This suggests that the most food insecure states are those that combine inadequate domestic production with an export structure (not necessarily just for agriculture) that is unsatisfactory in terms of one or more of the following characteristics:

♦ low per capita value and poor growth prospects;

♦ heavy dependence upon a small number of commodities facing fluctuating supply or demand;

heavy reliance of exports on a single market with fluctuating demand.

It follows that neither low GDP nor dependence upon imported food are, by themselves, necessarily indicators 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 to member states. Some 20 states are recognised as net food-importing developing countries (NFIDCs), and the 49 LDCs also receive special attention. This usage reflects concern that the liberalisation 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 among the 30 countries with the lowest calorie availability (a fairly robust proxy for food insecurity), and three of those 30 are neither LDC nor NFIDC [UNDP 2000: Table 23 – see Appendix 1].

But if the existing definitions appear inadequate, how could they be developed? The entitlements analysis demonstrates that, in one sense, almost all aspects of the WTO 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 among WTO members for substantial and enforceable SDT treatment to all states satisfying such broad criteria unless it was restricted to the very poorest and smallest states.

The LDC group comes close to satisfying these broad criteria. All have a low level of economic diversification. But limiting differentiated treatment just to LDCs would represent a substantial retreat of SDT. A reasonable working assumption is that there exist some non- LDCs 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 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.

The scope of SDT

Current provisions

To the extent that the food security implications of multilateral reforms have been identified, the texts agreed in the WTO do not provide any direct operational measures to deal with the consequences except to the extent 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 states is not considered to be adequate.

The Marrakech Agreement includes, for example, a 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 the signatory Ministers ‘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’ [WTO 1995]. The 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’ [ibid.]. But, as is clear from Table 1, little concrete action has been reported to the WTO.

There are two, not mutually exclusive, avenues for the future:

♦ to identify more clearly the types of domestic action that can be justified for food insecure states both in order to focus attention on the need to support them and to ensure that the freedom of manoeuvre of food insecure states is not limited by future rules;

to make the existing hortatory declarations enforceable, either by endowing the WTO with a financial facility or by making final agreement on the next AoA conditional upon appropriate decisions being made in the multilateral and bilateral bodies that have the relevant portfolio responsibilities and financial resources.

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

    Food importing states

    Reducing export subsidies

    Food importing states

    Reducing domestic subsidies

    Countries aiming to increase domestic production

Market access

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, if they do not, they have preferential access to protected markets. For those exporting non-sensitive products, OECD liberalisation is unlikely to result in any significant change (and, arguably, developing country liberalisation 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 the WTO. Although multilateral liberalisation 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 liberalising their import regimes. But this brings us back to the central question posed earlier, which is whether the WTO’s rule-making or liberalising 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 liberalisation 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 liberalisation of market access. To the extent that it contributes to a decline in production in the most heavily protected markets (mainly the 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 states. 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 state. 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 for some states.

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:

♦ countries aiming to boost domestic agricultural production that may wish to increase incentives to farmers by keeping import prices high and increasing domestic subsidies;

food importing states with weak trade entitlements that may be concerned about their capacity to import sufficient food in future.

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 of states, 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

• High share of agriculture in GDP

• Low per capita calorie supply

    Import dependence with weak trade entitlements

• High food imports as share of GDP

• High vulnerability

• Low per capita calorie supply

In both cases, it is a combination of characteristics that indicates particular vulnerability. For the first group of countries a necessary condition is that agriculture should represent a relatively high proportion of gross domestic product (GDP). But this would include wealthy countries or those with sufficient non-agricultural production that they can easily assure the food security of their populations. An additional criterion, therefore, is that average per capita calorie supply should be low.

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 country’s 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 of less than this 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 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 2,500 in ascending order of calories. It also indicates whether or not the countries are classified as LDC or NFIDC.

It is evident that the LDC and NFIDC categories cover some but not all states. Twenty-seven of the countries are neither LDC nor NFIDC. Moreover, a further four states are classified as LDC but have a per capita calorie supply in excess of 2,500 (and range from Mauritania with 2,622 to Cape Verde with 3,015). Seven NFIDC states have calorie supply in excess of 2,500, ranging up to 3,287 (Egypt). Hence the LDC and NFIDC categories combined cannot be used as an adequate indicator of food insecurity.

Table 4. Average per capita calorie supply

    Country

    Daily per capita calorie supply a 1997

    LDC

    NFIDC b

    Country

    Daily per capita calorie supply a 1997

    LDC

    NFIDC b

    Eritrea

    1,622

    Yes

 

    Nicaragua

    2,186

   

    Burundi

    1,685

    Yes

 

    Papua New Guinea

    2,224

   

    Congo Dem. Rep.

    1,755

    Yes

 

    Guinea

    2,231

    Yes

 

    Mozambique

    1,832

    Yes

 

    Azerbaijan

    2,236

   

    Comoros

    1,858

    Yes

 

    Lesotho

    2,243

    Yes

 

    Ethiopia

    1,858

    Yes

 

    Dominican Rep.

    2,288

   

    Haiti

    1,869

    Yes

 

    Peru

    2,302

 

    Yes

    Angola

    1,903

    Yes

 

    Sri Lanka

    2,302

 

    Yes

    Mongolia

    1,917

   

    Turkmenistan

    2,306

   

    Zambia

    1,970

    Yes

 

    Venezuela

    2,321

 

    Yes

    Kenya

    1,976

 

    Yes

    Guatemala

    2,339

   

    Tanzania

    1,995

    Yes

 

    Gambia

    2,350

    Yes

 

    Tajikistan

    2,001

   

    Thailand

    2,360

   

    Central African Rep.

    2,016

    Yes

 

    Antigua/Barbuda

    2,365

   

    Madagascar

    2,021

    Yes

 

    Philippines

    2,366

   

    Mali

    2,029

    Yes

 

    Nepal

    2,366

    Yes

 

    Chad

    2,032

    Yes

 

    Armenia

    2,371

   

    Sierra Leone

    2,035

    Yes

 

    Sudan

    2,395

    Yes

 

    Malawi

    2,043

    Yes

 

    Honduras

    2,403

 

    Yes

    Cambodia

    2,048

    Yes

 

    Senegal

    2,418

    Yes

 

    Yemen

    2,051

    Yes

 

    Guinea-Bissau

    2,430

    Yes

 

    Rwanda

    2,056

    Yes

 

    Panama

    2,430

   

    Djibouti

    2,084

    Yes

 

    Uzbekistan

    2,433

   

    Bangladesh

    2,085

    Yes

 

    Bahamas

    2,443

   

    Uganda

    2,085

    Yes

 

    Croatia

    2,445

   

    Niger

    2,097

    Yes

 

    Kyrgyzstan

    2,447

   

    Lao PDR

    2,108

    Yes

 

    Togo

    2,469

    Yes

 

    Cameroon

    2,111

   

    St Vincent

    2,472

   

    Burkina Faso

    2,121

    Yes

 

    Pakistan

    2,476

 

    Yes

    Solomon Islands

    2,122

    Yes

 

    Cuba

    2,480

 

    Yes

    S.Tome/Principe

    2,138

    Yes

 

    Swaziland

    2,483

   

    Congo Rep.

    2,143

   

    Vietnam

    2,484

   

    Zimbabwe

    2,145

   

    Maldives

    2,485

    Yes

 

    Bolivia

    2,174

   

    Benin

    2,487

    Yes

 

    Namibia

    2,183

   

    Seychelles

    2,487

   

    Botswana

    2,183

 

    Yes

    India

    2,496

   

    Notes:

    (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) According to the FAO NFIDC group definition [http://apps.fao.org/lim500/showareas.pl?area=401&ItemType=Trade. CropsLivestockProducts&Language=].

Indicators of agricultural dependence

To identify those states in which the food insecurity may be agriculture related, Table 5 brings in information on agricultural value added as a share of GDP. It shows the share of agriculture in GDP for all of the states with a per capita calorie supply of under 2,500 (excluding six for which data are unavailable) and also any other developing country where agriculture accounts for more than 20% of GDP. Those countries in the table in which average calorie supply exceeds 2,500 are indicated by shaded lines. Once again, an indication is also given of the status of each country as LDC or NFIDC.

The LDC and NFIDC categories appear to overlap only partially with these other criteria of vulnerability. No fewer than 33 of the 76 countries in the table are neither LDC nor NFIDC, and 19 of these have an agricultural sector that accounts for over 20% of GDP. The states that would be excluded if only the criteria of calorie supply or LDC membership were taken into account include Albania, Côte d’Ivoire, Guyana, Nigeria, Moldova, Georgia, Paraguay and Dominica (using 20% as the agricultural cut-off).

Table 5. Agricultural dependence and low-calorie status

    Country

    Daily per capita calorie supply a

    1997

    Agric. value added share of GDP c
    1998

LDC

NFIDCb

    Country

    Daily per capita calorie supply a

    1997

    Agric. value added share of GDP c
    1998

LDC

NFIDCb

    Guinea-Bissau

    2,430

62.4%

    Yes

 

    Georgia

    2,614

26.0%

   

    Albania

    2,961

54.4%

   

    Côte d'Ivoire

    2,610

26.0%

 

    Yes

    Burundi

    1,685

54.2%

    Yes

 

    Vietnam

    2,484

25.8%

   

    Myanmar

    2,862

53.2%

    Yes

 

    Paraguay

    2,566

24.9%

   

    Lao PDR

    2,108

52.6%

    Yes

 

    Mauritania

    2,622

24.8%

    Yes

 

    Central African Rep.

    2,016

52.6%

    Yes

 

    Turkmenistan

    2,306

24.6%

   

    Cambodia

    2,048

50.6%

    Yes

 

    Papua New Guinea

    2,224

24.4%

   

    Ethiopia

    1,858

49.8%

    Yes

 

    Guatemala

    2,339

23.3%

   

    Rwanda

    2,056

47.4%

    Yes

 

    Guinea

    2,231

22.4%

    Yes

 

    Mali

    2,029

47.0%

    Yes

 

    Bangladesh

    2,085

22.2%

    Yes

 

    Kyrgyzstan

    2,447

46.0%

   

    S.Tome/Principe

    2,138

21.3%

    Yes

 

    Tanzania

    1,995

45.7%

    Yes

 

    Sri Lanka

    2,302

21.1%

 

    Yes

    Uganda

    2,085

44.6%

    Yes

 

    Azerbaijan

    2,236

20.3%

   

    Sierra Leone

    2,035

44.2%

    Yes

 

    Honduras

    2,403

20.3%

 

    Yes

    Cameroon

    2,111

42.4%

   

    Dominica

    3,059

20.3%

   

    Togo

    2,469

42.1%

    Yes

 

    Zimbabwe

    2,145

19.5%

   

    Niger

    2,097

41.4%

    Yes

 

    Yemen

    2,051

17.6%

    Yes

 

    Nepal

    2,366

40.5%

    Yes

 

    Senegal

    2,418

17.4%

    Yes

 

    Chad

    2,032

39.8%

    Yes

 

    Zambia

    1,970

17.3%

    Yes

 

    Sudan

    2,395

39.3%

    Yes

 

    Philippines

    2,366

16.9%

   

    Comoros

    1,858

38.7%

    Yes

 

    Maldives

    2,485

16.4%

    Yes

 

    Benin

    2,487

38.6%

    Yes

 

    Swaziland

    2,483

16.0%

   

    Malawi

    2,043

35.9%

    Yes

 

    Bolivia

    2,174

15.4%

   

    Guyana

    2,530

34.7%

   

    Angola

    1,903

12.3%

    Yes

 

    Mozambique

    1,832

34.3%

    Yes

 

    Dominican Rep.

    2,288

11.7%

   

    Nicaragua

    2,186

34.1%

   

    Congo Rep.

    2,143

11.5%

   

    Burkina Faso

    2,121

33.3%

    Yes

 

    Lesotho

    2,243

11.5%

    Yes

 

    Armenia

    2,371

32.9%

   

    Thailand

    2,360

11.2%

   

    Mongolia

    1,917

32.8%

   

    St Vincent

    2,472

10.9%

   

    Nigeria

    2,735

31.7%

   

    Namibia

    2,183

10.0%

   

    Uzbekistan

    2,433

31.2%

   

    Croatia

    2,445

8.9%

   

    Madagascar

    2,021

30.6%

    Yes

 

    Panama

    2,430

7.9%

   

    Haiti

    1,869

30.4%

    Yes

 

    Peru

    2,302

7.1%

 

    Yes

    India

    2,496

29.3%

   

    Tajikistan

    2,001

5.7%

   

    Moldova

    2,567

28.9%

   

    Venezuela

    2,321

5.0%

 

    Yes

    Gambia

    2,350

27.4%

    Yes

 

    Seychelles

    2,487

4.1%

   

    Pakistan

    2,476

26.4%

 

    Yes

    Antigua/Barbuda

    2,365

4.0%

   

    Kenya

    1,976

26.1%

 

    Yes

    Botswana

    2,183

3.6%

 

    Yes

    Notes:

    (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) According to the FAO NFIDC group definition [http://apps.fao.org/lim500/showareas.pl?area=401&ItemType=Trade. CropsLivestockProducts&Language=].

    (c) Source: World Bank, World Development Indicators database website.

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 hold over requests from these states 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 states. But, as indicated above, this paper takes as paramount the WTO’s rule-making rather than its liberalising 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 destabilise world markets.

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 51 and shows for each the share of agricultural exports in GDP and the country’s 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 states 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 states and, hence, 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 declining order of their agricultural exports as a share of world exports. Only two countries – Thailand and India – account for over 1% of world agricultural exports, and only seven account for over 0.25%. Of these, only one (Côte d’Ivoire) has a per capita calorie supply exceeding the 2,500 threshold (although a further three – India, Vietnam and Pakistan – come close).

Table 6. Trade share of vulnerable states

    Country

    Agric. exports as share of GDP

    1999

    Agric. exports as share of world agric. exports
    2000

    Country

    Agric. exports as share of GDP

    1999

    Agric. exports as share of world agric. exports
    2000

    Thailand

    5.80%

    1.76%

    Tajikistan

    n/a

    0.03%

    India

    1.00%

    1.20%

    Togo

    8.30%

    0.03%

    Vietnam

    8.50%

    0.53%

    Turkmenistan

    n/a

    0.03%

    Côte d'Ivoire

    21.20%

    0.46%

    Albania

    n/a

    0.02%

    Guatemala

    8.20%

    0.38%

    Azerbaijan

    2.00%

    0.02%

    Philippines

    1.80%

    0.37%

    Botswana

    1.70%

    0.02%

    Pakistan

    2.00%

    0.26%

    Chad

    5.70%

    0.02%

    Kenya

    9.70%

    0.25%

    Georgia

    1.30%

    0.02%

    Uzbekistan

    n/a

    0.24%

    Guinea-Bissau

    23.30%

    0.02%

    Sri Lanka

    n/a

    0.23%

    Madagascar

    2.20%

    0.02%

    Zimbabwe

    14.50%

    0.20%

    Mongolia

    10.10%

    0.02%

    Peru

    1.30%

    0.17%

    Nepal

    1.60%

    0.02%

    Cuba

    n/a

    0.16%

    Yemen

    0.90%

    0.02%

    Paraguay

    7.50%

    0.15%

    Zambia

    1.90%

    0.02%

    Honduras

    8.30%

    0.14%

    Bahamas

    n/a

    0.01%

    Cameroon

    5.20%

    0.12%

    Burundi

    7.70%

    0.01%

    Nigeria

    1.30%

    0.12%

    Cambodia

    1.50%

    0.01%

    Uganda

    6.90%

    0.11%

    Central African Rep.

    2.70%

    0.01%

    Bolivia

    4.40%

    0.10%

    Congo Dem. Rep.

    n/a

    0.01%

    Ethiopia

    6.30%

    0.10%

    Djibouti

    n/a

    0.01%

    Papua New Guinea

    12.00%

    0.10%

    Dominica

    n/a

    0.01%

    Croatia

    n/a

    0.09%

    Gambia

    9.30%

    0.01%

    Malawi

    20.00%

    0.09%

    Guinea

    1.00%

    0.01%

    Sudan

    n/a

    0.09%

    Haiti

    n/a

    0.01%

    Dominican Rep.

    1.90%

    0.08%

    Lao PDR

    2.20%

    0.01%

    Nicaragua

    13.60%

    0.08%

    Mauritania

    3.60%

    0.01%

    Panama

    3.20%

    0.08%

    Mozambique

    0.80%

    0.01%

    Swaziland

    28.50%

    0.08%

    Rwanda

    2.40%

    0.01%

    Tanzania

    3.50%

    0.08%

    Solomon Islands

    n/a

    0.01%

    Moldova

    27.70%

    0.07%

    St Vincent

    n/a

    0.01%

    Venezuela

    0.40%

    0.07%

    Congo Rep.

    0.80%

    0.01%

    Mali

    9.00%

    0.06%

    Armenia

    1.00%

    0.004%

    Myanmar

    n/a

    0.06%

    Comoros

    3.40%

    0.002%

    Guyana

    32.00%

    0.05%

    Lesotho

    0.80%

    0.002%

    Kyrgyzstan

    n/a

    0.04%

    Sierra Leone

    1.20%

    0.002%

    Senegal

    2.30%

    0.04%

    Angola

    0.10%

    0.001%

    Bangladesh

    0.30%

    0.03%

    Eritrea

    0.50%

    0.001%

    Benin

    5.70%

    0.03%

    S.Tome/Principe

    10.60%

    0.001%

    Burkina Faso

    5.10%

    0.03%

    Seychelles

    0.30%

    0.001%

    Namibia

    4.00%

    0.03%

    Antigua/Barbuda

    n/a

    0.0001%

    Niger

    5.50%

    0.03%

    Maldives

    n/a

    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):

♦ daily per capita calorie supply of under 2,500; and/or

♦ agriculture accounting for over 20% of GDP; and

0.25% or less of world agricultural exports.

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 the 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 categorisation 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:

♦ all the states with per capita calorie supply of under 2,500 (except 14 for which vulnerability data are not available) and

any state with greater vulnerability (higher index number) than the mean for states registering under 2,500 calories (shaded in the table).

The states are presented in declining order of agricultural imports as a share of GDP.

Table 7. Trade vulnerability and low-calorie status

    Country

    Daily per capita calorie supply a
    1997

    Composite vulnerability index b

    Agric. imports as share of GDP c
    1999

    LDC

    NFIDC

    Gambia

    2,350

    9.331

    27.87%

    Yes

 

    S.Tome/Principe

    2,138

    7.69

    19.98%

    Yes

 

    Sierra Leone

    2,035

    5.06

    19.51%

    Yes

 

    Mauritania

    2,622

    6.068

    19.40%

    Yes

 

    Lesotho

    2,243

    5.985

    18.68%

    Yes

 

    Swaziland

    2,483

    9.633

    17.76%

   

    Comoros

    1,858

    5.425

    14.26%

    Yes

 

    Nicaragua

    2,186

    4.92

    13.50%

   

    Yemen

    2,051

    5.259

    11.46%

    Yes

 

    St Lucia

    2,734

    7.449

    10.68%

   

    Senegal

    2,418

    5.026

    10.40%

    Yes

 

    Seychelles

    2,487

    6.375

    9.01%

   

    Guyana

    2,530

    7.953

    8.31%

   

    Honduras

    2,403

    5.373

    8.07%

 

    Yes

    Mauritius

    2,917

    6.51

    7.37%

 

    Yes

    St Kitts/Nevis

    2,771

    6.362

    7.01%

   

    Angola

    1,903

    6.282

    6.80%

    Yes

 

    Niger

    2,097

    4.957

    6.70%

    Yes

 

    Fiji

    2,865

    8.888

    6.55%

   

    Jamaica

    2,553

    7.484

    6.46%

 

    Yes

    Belize

    2,907

    6.652

    6.39%

   

    Botswana

    2,183

    10.158

    6.15%

 

    Yes

    Benin

    2,487

    5.06

    6.00%

    Yes

 

    Papua New Guinea

    2,224

    6.308

    5.93%

   

    Togo

    2,469

    5.248

    5.47%

    Yes

 

    Nepal

    2,366

    5.173

    5.20%

    Yes

 

    Malaysia

    2,977

    5.903

    5.00%

   

    Burkina Faso

    2,121

    4.923

    4.65%

    Yes

 

    Mozambique

    1,832

    4.907

    4.55%

    Yes

 

    Bangladesh

    2,085

    4.744

    4.51%

    Yes

 

    Congo Rep.

    2,143

    5.961

    4.49%

   

    Panama

    2,430

    4.995

    4.16%

   

    Pakistan

    2,476

    4.795

    3.95%

 

    Yes

    Uganda

    2,085

    4.876

    3.77%

    Yes

 

    Guinea

    2,231

    5.282

    3.71%

    Yes

 

    Rwanda

    2,056

    4.797

    3.63%

    Yes

 

    Philippines

    2,366

    4.595

    3.51%

   

    Mali

    2,029

    5.083

    3.48%

    Yes

 

    Central African Rep.

    2,016

    4.802

    3.37%

    Yes

 

    Guatemala

    2,339

    4.431

    3.33%

   

    Namibia

    2,183

    6.527

    3.31%

   

    Dominican Rep.

    2,288

    4.858

    3.21%

   

    Kenya

    1,976

    4.935

    3.12%

 

    Yes

    Zimbabwe

    2,145

    4.969

    2.97%

   

    Tanzania

    1,995

    5.035

    2.96%

    Yes

 

    Zambia

    1,970

    5.549

    2.80%

    Yes

 

    Ethiopia

    1,858

    4.786

    2.55%

    Yes

 

    Malawi

    2,043

    5.2

    2.44%

    Yes

 

    Bolivia

    2,174

    4.691

    2.37%

   

    Chad

    2,032

    5.12

    2.24%

    Yes

 

    Burundi

    1,685

    4.929

    2.11%

    Yes

 

    Madagascar

    2,021

    4.785

    1.90%

    Yes

 

    Peru

    2,302

    4.461

    1.88%

 

    Yes

    Thailand

    2,360

    4.264

    1.87%

   

    Cameroon

    2,111

    4.952

    1.60%

   

    Venezuela

    2,321

    4.887

    1.37%

 

    Yes

    India

    2,496

    3.782

    0.86%

   

    Antigua/Barbuda

    2,365

    11.246

    n/a

   

    Bahamas

    2,443

    10.433

    n/a

   

    Congo Dem. Rep.

    1,755

    5.186

    n/a

    Yes

 

    Djibouti

    2,084

    7.932

    n/a

    Yes

 

    Dominica

    3,059

    8.122

    n/a

   

    Gabon

    2,556

    6.229

    n/a

   

    Grenada

    2,768

    7.848

    n/a

   

    Haiti

    1,869

    4.474

    n/a

    Yes

 

    Maldives

    2,485

    8.654

    n/a

    Yes

 

    Solomon Islands

    2,122

    8.398

    n/a

    Yes

 

    Sri Lanka

    2,302

    5.076

    n/a

 

    Yes

    St Vincent/Grenadines

    2,472

    6.563

    n/a

   

    Sudan

    2,395

    4.655

    n/a

    Yes

 

    Vanuatu

    2,700

    13.295

    n/a

    Yes

 

    Notes:

    (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).

The table suggests that the LDC and NFIDC categories miss some states that ought to be included. For example, if one takes agricultural imports of over 5% of GDP as a threshold, there are three states that do not fall into either group and for which agricultural imports exceed this level and calorie supply is below 2,500 per capita and trade vulnerability is high. This number increases to six if the states at the foot of the table (for which import and/or GDP data are not available) are assessed on the other two criteria.

At the same time, 11 of the 20 NFIDCs and 5 LDCs2 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 states is to remove the causes of the insecurity, i.e. to address low domestic production and weak exports. Many of the more important measures fall well outside the ambit of the WTO. But there is none the less scope for ample action within the WTO.

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 states to pursue policies that have proved to be useful in supporting food security in some states. 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.

Table 8. Provisions relating to food security in the AoA

    Food security policies

    Related WTO trade policy area

    AoA provisions available to developing countries and widely used

    Types of change that could affect food security

    Potential alternative instruments

    Input credits and subsidies; capital expenditure in agriculture; food price stabilisation and subsidies

    Domestic subsidies

    SDT exemptions from cuts in agricultural investment and input subsidies for poor farmers

    10% de minimis exemption

    LLDCs 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 subsidised 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 subsidised 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.

But action can go further than this. For example, many WTO rule changes could have an effect on export diversification by food insecure states – and this effect will not always be favourable. Such potential effects need to be identified, and the right recognised of food insecure states 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 states that have a significant effect on world trade and are not especially food insecure (even though they may import a lot of food). There is a major technical role to play, therefore, to produce objective indicators of relative national food insecurity that would form a basis for group formation.

Appendix 1. Daily per capita supply of calories, 1997

    Rank

    Country a

    Daily per capita supply of calories b
    1997

    LDC

    NFIDC c

    1

    Eritrea

    1,622

    Yes

 

    2

    Burundi

    1,685

    Yes

 

    3

    Congo, Dem. Rep.

    1,755

    Yes

 

    4

    Mozambique

    1,832

    Yes

 

    5

    Comoros

    1,858

    Yes

 

    6

    Ethiopia

    1,858

    Yes

 

    7

    Haiti

    1,869

    Yes

 

    8

    Angola

    1,903

    Yes

 

    9

    Mongolia

    1,917

   

    10

    Zambia

    1,970

    Yes

 

    11

    Kenya

    1,976

 

    Yes

    12

    Tanzania, U. Rep. of

    1,995

    Yes

 

    13

    Tajikistan

    2,001

   

    14

    Central African Republic

    2,016

    Yes

 

    15

    Madagascar

    2,021

    Yes

 

    16

    Mali

    2,029

    Yes

 

    17

    Chad

    2,032

    Yes

 

    18

    Sierra Leone

    2,035

    Yes

 

    19

    Malawi

    2,043

    Yes

 

    20

    Cambodia

    2,048

    Yes

 

    21

    Yemen

    2,051

    Yes

 

    22

    Rwanda

    2,056

    Yes

 

    23

    Djibouti

    2,084

    Yes

 

    24

    Bangladesh

    2,085

    Yes

 

    25

    Uganda

    2,085

    Yes

 

    26

    Niger

    2,097

    Yes

 

    27

    Lao People's Dem. Rep.

    2,108

    Yes

 

    28

    Cameroon

    2,111

   

    29

    Burkina Faso

    2,121

    Yes

 

    30

    Solomon Islands

    2,122

    Yes

 

    31

    São Tomé and Principe

    2,138

    Yes

 

    32

    Congo

    2,143

   

    33

    Zimbabwe

    2,145

   

    34

    Bolivia

    2,174

   

    35

    Botswana

    2,183

 

    Yes

    36

    Namibia

    2,183

   

    37

    Nicaragua

    2,186

   

    38

    Papua New Guinea

    2,224

   

    39

    Guinea

    2,231

    Yes

 

    40

    Azerbaijan

    2,236

   

    41

    Lesotho

    2,243

    Yes

 

    42

    Dominican Republic

    2,288

 

    Yes

    43

    Peru

    2,302

 

    Yes

    44

    Sri Lanka

    2,302

 

    Yes

    45

    Turkmenistan

    2,306

   

    46

    Venezuela

    2,321

 

    Yes

    47

    Guatemala

    2,339

   

    48

    Gambia

    2,350

    Yes

 

    49

    Thailand

    2,360

   

    50

    Antigua and Barbuda

    2,365

   

    51

    Philippines

    2,366

   

    52

    Nepal

    2,366

    Yes

 

    53

    Armenia

    2,371

   

    54

    Sudan

    2,395

    Yes

 

    55

    Honduras

    2,403

 

    Yes

    56

    Senegal

    2,418

    Yes

 

    57

    Guinea-Bissau

    2,430

    Yes

 

    58

    Panama

    2,430

   

    59

    Uzbekistan

    2,433

   

    60

    Bahamas

    2,443

   

    61

    Croatia

    2,445

   

    62

    Kyrgyzstan

    2,447

   

    63

    Togo

    2,469

    Yes

 

    64

    Saint Vincent and the Grenadines

    2,472

 

    Yes

    65

    Pakistan

    2,476

 

    Yes

    66

    Cuba

    2,480

 

    Yes

    67

    Swaziland

    2,483

   

    68

    Viet Nam

    2,484

   

    69

    Maldives

    2,485

    Yes

 

    70

    Benin

    2,487

    Yes

 

    71

    Seychelles

    2,487

   

    72

    India

    2,496

   

    73

    Guyana

    2,530

   

    74

    Jamaica

    2,553

 

    Yes

    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 d'Ivoire

    2,610

 

    Yes

    81

    Ghana

    2,611

   

    82

    Georgia

    2,614

   

    83

    Iraq

    2,619

   

    84

    Mauritania

    2,622

    Yes

 

    85

    Costa Rica

    2,649

   

    86

    Trinidad and Tobago

    2,661

 

    Yes

    87

    Macedonia, TFYR

    2,664

   

    88

    Suriname

    2,665

   

    89

    Ecuador

    2,679

   

    90

    Bulgaria

    2,686

   

    91

    Vanuatu

    2,700

    Yes

 

    92

    Saint Lucia

    2,734

 

    Yes

    93

    Nigeria

    2,735

   

    94

    Grenada

    2,768

   

    95

    Saint Kitts and Nevis

    2,771

 

    Yes

    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

    2,862

    Yes

 

    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

    2,917

 

    Yes

    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

    3,015

    Yes

 

    120

    Dominica

    3,059

   

    121

    Morocco

    3,078

 

    Yes

    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

    3,176

 

    Yes

    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

    3,283

 

    Yes

    144

    Netherlands

    3,284

   

    145

    Egypt

    3,287

 

    Yes

    Notes

    (a) In ascending order of number of calories available for human consumption. Table includes all LDCs (apart from those for which data are not available – Afghanistan, Bhutan, Equatorial Guinea, Kiribati, Liberia, Samoa, Somalia and Tuvalu) and all NFIDCs, and all other countries lower ranked than the highest of these.

    (b) 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 2000: Table 23.

    (c) According to the FAO NFIDC group definition [http://apps.fao.org/lim500/showareas.pl?area=401&ItemType=Trade. CropsLivestockProducts&Language=].

References

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Drèze, J. and Sen, A. (eds) 1990. The Political Economy of Hunger. Oxford: Clarendon Press.

FAO Statistical Databases (http://apps.fao.org/default.htm).

FAO 1996. State of Food and Agriculture 1996 (FAOSTAT TS software by the United States Department of Agriculture). Rome: Food and Agriculture Organization of the United Nations.

Finger, J.M. and Schuler, P. 2000. ‘Implementation of Uruguay Round Commitments’, The World Economy 23(4):511–25.

Fukasaku, K. 2000. ‘Special and Differential Treatment for Developing Countries: Does It Help Those Who Help Themselves?’, Working Paper No. 197. Helsinki: UNU World Institute for Development Economics Research.

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Stevens, C.; Greenhill, R.; Kennan, J. and Devereux, S. 2000. ‘The WTO Agreement on Agriculture and Food Security’, Economic Paper 42. London: Commonwealth Secretariat.

UNDP 2000. Human Development Report 2000. Geneva: United Nations Development Programme.

Whalley, J. 1999. ‘Special and Differential Treatment in the Millennium Round’, Working Paper No. 30/99. Coventry: University of Warwick, Centre for the Study of Globalisation and Regionalisation.

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WTO 1995. The Results of the Uruguay Round of Multilateral Trade Negotiations: The Legal Texts. Geneva: the World Trade Organization.

WTO 2000. ‘Implementation of special and differential treatment provisions in WTO Agreements and Decisions: Note by the Secretariat’, WT/COMTD/W/77. Geneva: World Trade Organization, Committee on Trade and Development (25 October).

1 Plus the six countries excluded from Table 5 because of lack of the relevant data.

2 Plus nine for which calorie supply data are not available.