Dr Ilona Serwicka (BFS0009)
UK Trade Policy Observatory (UKTPO), University of Sussex
The following notes answer specific questions set out in the Terms of Reference for the Lords Select Committee’s inquiry on the implications of leaving the European Union for food prices.
This written submission addresses the following questions:
About UKTPO
1.1. The United Kingdom’s prospective departure from the European Union will have implications for the prices of goods sold in this country. This is something that our analyses to date – including those specifically of the impact of Brexit on the cost of living[1] and on the vulnerability of different manufacturing sectors to Brexit[2] – have shown.
1.2. A new trade relationship between the UK and the EU, one that will depart from the status quo of the EU membership, will raise the cost of doing trade between the UK and the EU and lead to higher prices for domestic consumers. This increase in prices can come from the imposition of both tariffs and higher non-tariff measures (NTMs), including the cost of additional border checks and customs procedures.
1.3. To find out how an increase in tariffs and NTMs may affects prices of food in the UK, we used a partial equilibrium multi-market model to simulate the impact of different Brexit scenarios. The partial equilibrium model offers insight into short-term impacts of trade policy changes (although the model does not have a time dimension). It asks a hypothetical question of how different sectors of the economy (each of which is considered separately) may be impacted as a result of changes in tariffs, NTMs and other trade costs. The advantage of using the partial equilibrium model is that it allows for a much more disaggregated analysis of changes in trade policy, in comparison to the computable general equilibrium models.[3] The model that we have worked with does not account for any input-output linkages and supply chains, exchange rate movements and labour market implications.
2.1. In our paper on the impact of Brexit on the cost of living,[4] we analysed the impact of tariffs on the cost of food and other consumer goods. In this exercise we assumed that the UK leaves the EU with no deal, and is obliged (under the World Trade Organisation (WTO) rules) to impose the same tariffs on their mutual trade as they impose on imports from the third countries (those not covered by preferential trade agreements). We modelled this scenario as the UK levying the current EU most favoured nation (MFN) tariffs on UK imports from the EU, for which reason we term it ‘MFN Brexit’.[5]
2.2. The paper found the overall increase in the price of final consumption goods (some 40 per cent of UK consumers’ consumption basket) to be 2.7 per cent, which could equate to an increase in the cost of living of between £400 and £930 per annum. It also found that tariff-induced price rises were likely to be more pronounced for food than for other products (see: Table 1 below), ranging from an 8.1 per cent increase for dairy products (characterised by a high share of imports from the EU, at 98 per cent) to a 1.5 per cent for fish (where the EU share of UK imports is much lower, at 28 per cent). Overall, the EU shares of UK imports are high in many food sectors – partly reflecting the high tariffs and other barriers levied by the EU against imports from the rest of the world.
Table 1: The derivation of the price effects of ‘MFN’ Brexit
| Change in tariff and trade costs | Import penetration | EU share of imports | Price Change |
| % | % | % | % |
Food: |
|
|
|
|
Bread and cereals | 18.0 | 13.2 | 92.7 | 1.8 |
Meat | 37.0 | 29.5 | 78.4 | 5.8 |
Fish | 13.3 | 47.2 | 28.3 | 1.5 |
Dairy products | 44.6 | 27.5 | 98.1 | 8.1 |
Oils and fats | 18.1 | 79.7 | 56.7 | 7.8 |
Fruit | 10.6 | 85.7 | 44.1 | 3.1 |
Vegetables | 14.8 | 49.8 | 71.6 | 4.0 |
Sugar, jam and confectionery | 10.6 | 28.6 | 89.9 | 2.3 |
Other food products | 9.5 | 53.7 | 83.6 | 5.5 |
(Source: Clarke, S., Serwicka, I. and Winters, L.A. (2017) Will Brexit Raise the Cost of Living?, National Institute Economic Review, 242(1):R37-R50.)
2.3. While tariffs have been declining in recent decades, tariffs on foodstuffs are on average higher than those on manufactured goods. The weighted average EU MFN tariff on food is equal to approximately 22 per cent, while the weighted average EU MFN tariff on non-food consumer goods (such as clothing and footwear, fuel and energy, household articles, etc.) is equal to 5 per cent. Among groups of food products, tariffs applied by the EU are highest for dairy products (45 per cent) and lowest on other categories of food products (mostly processed and prepared foodstuffs).
2.4. However, there is significant variation in tariffs within groups; as much, in fact, as there is between groups. The weighted average EU MFN tariff on whole milk is equal to 70 per cent, but 36 per cent on low fat milk; beef is subject to a 56 per cent average tariff, but the tariff on poultry is 14 per cent.[6] Sugar is subject to high EU tariffs (75 per cent) but salt, spices and culinary herbs face lower tariffs (3 per cent).
3.1. In recent decades tariffs (as well as some non-tariff measures such as quantitative restrictions) have been steadily decreasing, but technical regulations (such as product standards and sanitary and phytosanitary, SPS, measures on food products) are on the rise. Using the CEPII NTM-Map database that contains indicators measuring the incidence of NTMs and dummies capturing the presence of different types of NTMs at the country product level, Cadot and Gourdon (2016) found that more than 60 per cent of food-related products were affected by at least one form of SPS.
Table 2: Frequency ratios[7] for the agri-food sectors
| Sanitary and Phytosanitary Measures (SPS) | Technical Barriers to Trade (TBT) |
Live animals | 38.5 | 30.2 |
Vegetable products | 39.5 | 32.1 |
Fats and oil | 61.9 | 51.8 |
Processed food | 66.1 | 57.8 |
(Source: Gourdon, J. (2014) CEPII NTM-MAP: A Tool for Assessing the Economic Impact of Non-Tariff Measures, CEPII Working Papers 2014-24, CEPII Research Center, Paris.)
3.2. In our more recent work, which modelled the impact of five Brexit scenarios on 122 manufacturing sectors[8] using the multi-market partial equilibrium model,[9] we took account of the impact of NTMs (alongside tariffs) on prices. This paper found that Brexit (and all its versions) will lead to higher domestic prices, with price increases in the food processing industry ranging from 0.6 per cent (under the soft EEA membership Brexit scenario) to 3.7 per cent (under the most pessimistic No Deals Brexit scenario).
Table 3: Impact of different Brexit scenarios on prices
Scenario | Food processing industry | Manufacturing – average |
Percentage change in prices | ||
S1. EEA membership | 0.6 | 1.2 |
S2. FTA with EU and grandfathering of FTAs with 67 countries | 2.3 | 3.1 |
S3. FTA with EU and no grandfathering of FTAs with 67 countries | 2.5 | 3.4 |
S4. No deal with EU and no grandfathering of FTAs with 67 countries | 3.7 | 5.0 |
S5. No deal with EU and FTAs with all non-EU countries | 2.9 | 3.9 |
(Source: Gasiorek, M., Serwicka, I. and Smith, A. (2018) Which Manufacturing Sectors are Most Vulnerable to Brexit?, UK Trade Policy Observatory Briefing Paper 16.)
3.3. Within the food processing industry, there is a variation in how different sectors may be affected (see: Table 4), with manufacturing of macaroni, noodles and couscous being the most impacted by a rise in prices.
Table 4: Impact of different Brexit scenarios on prices in food processing sectors
| S1. EEA | S2. FTA with EU and FTA67 | S3. FTA with EU | S4. No Deals | S5. FTAs with FTA67 and ROW |
Percentage change in prices | |||||
1010 Processing/preserving of meat | 0.6 | 2.2 | 2.2 | 3.5 | 1.4 |
1020 Processing/preserving of fish, etc. | 0.6 | 2.3 | 3.3 | 4.1 | 1.9 |
1030 Processing/preserving of fruit, vegetables | 0.7 | 2.4 | 2.6 | 3.8 | 2.9 |
1040 Vegetable and animal oils and fats | 1.6 | 5.7 | 6.0 | 8.3 | 6.7 |
1050 Dairy products | 0.7 | 2.7 | 2.8 | 4.2 | 4.1 |
1061 Grain mill products | 0.5 | 1.8 | 1.8 | 2.5 | 2.1 |
1062 Starches and starch products | 0.4 | 1.7 | 1.7 | 2.6 | 2.4 |
1071 Bakery products | 0.4 | 1.5 | 1.5 | 3.0 | 2.8 |
1072 Sugar | 1.0 | 3.4 | 5.7 | 9.3 | 5.5 |
1073 Cocoa, chocolate and sugar confectionery | 1.3 | 5.3 | 5.6 | 9.0 | 8.3 |
1074 Macaroni, noodles, couscous, etc. | 2.1 | 7.6 | 8.0 | 14.1 | 9.9 |
1079 Other food products n.e.c. | 1.0 | 3.3 | 3.5 | 4.8 | 4.1 |
1080 Prepared animal feeds | 0.3 | 1.1 | 1.1 | 1.9 | 1.7 |
(Source: Gasiorek, M., Serwicka, I. and Smith, A. (2018) Which Manufacturing Sectors are Most Vulnerable to Brexit?, UK Trade Policy Observatory Briefing Paper 16.)
3.4. To build on the first exercise (where we modelled the impact of tariffs but not NTMs), we ran simulations for the following three Brexit scenarios, where – like in the first exercise – we assume that trade costs (and relationship) with non-EU countries remain unchanged.
3.4.1. Scenario 1. Membership of the EEA: here, we assume that the UK leaves the EU Customs Union (CU) but stays within the Single Market (SM); leaving the CU entails increased border inspections between the UK and EU, which we capture as adding 3.5 per cent to trade costs;[10] all other costs (tariffs, NTMs), including the relationship with other partner countries remain unchanged.
3.4.2. Scenario 2. UK-EU FTA: in this scenario, we assume that the UK leaves both the CU and the SM, but signs an FTA with the EU; this keeps all tariffs at zero, but adds 3.5% to trade costs (border inspections) and also implies that imports from EU face low levels of NTMs.
3.4.3. Scenario 3. No EU-Deal: this is the ‘hard’ Brexit scenario, where the UK leaves the EU with no deal; this pushes all components of trade costs (tariffs, NTMs and border inspection cost of 3.5%) up; tariffs on UK imports from the EU (and EU imports from the UK) go up to the Most Favoured Nation (MFN) level and imports from the EU face high levels of NTMs.[11]
3.5. The estimates of NTMs that we employed in our modelling come from the work of Cadot and Gourdon (2016), who calculated the average ad-valorem tariff equivalent of NTMs, including NTMs in the presence of an RTA (FTA) (low NTMs) and without (high NTMs).[12]
3.6. The impact of these three Brexit scenarios on different categories of food products (following the process of disaggregating the price effects from the ISIC4 classes into the COI+ categories) is reported in Table 5 below, alongside information on change in average trade costs between the UK and the EU.
Table 5: Price effects of three Brexit scenarios (with NTM changes)
| Scenario 1. EEA (3.5%↑) | Scenario 2. UK-EU FTA (3.5%↑ & NTMs↑) | Scenario 3. No EU-Deal (3.5%↑ & NTMs↑ & Tariffs↑) | |||
Change in trade costs (%) | Change in prices (%) | Change in trade costs (%) | Change in prices (%) | Change in trade costs (%) | Change in prices (%) | |
Bread and cereals | 3.5 | 0.3 | 16.9 | 1.4 | 39.3 | 2.9 |
Meat | 3.5 | 0.8 | 18.3 | 3.3 | 59.8 | 7.0 |
Fish | 3.5 | 0.4 | 18.2 | 1.8 | 36.0 | 2.8 |
Dairy products | 3.5 | 0.9 | 19.9 | 4.3 | 68.9 | 9.8 |
Oils and fats | 3.5 | 1.4 | 16.2 | 5.8 | 39.0 | 13.2 |
Fruit | 3.5 | 1.2 | 18.8 | 5.1 | 33.8 | 7.1 |
Vegetables | 3.5 | 1.1 | 18.2 | 4.8 | 37.4 | 7.5 |
Sugar, jam and confectionery | 3.5 | 0.9 | 15.4 | 3.6 | 30.6 | 5.8 |
Other food products | 3.5 | 1.5 | 15.3 | 6.4 | 29.2 | 12.4 |
Food prices – average[13] | 3.5 | 0.9 | 17.6 | 3.8 | 43.1 | 7.1 |
(Source: authors’ own calculations)
3.7. All categories of food products will see prices rises as a result of Brexit. The increase in average food prices will range from 0.9 per cent under the softest EEA membership Brexit scenario to 7.1 per cent under the most pessimistic No-EU Deal Brexit scenario. Signing an FTA with the EU (which will keep tariffs at zero, but push NTMs up) will lead to an average food price rise of 3.8 per cent.
3.8. Among nine groups of food products, ‘oils and fats’ and ‘other food products’ will be most impacted by prices rises (with a price increase in excess of 10 per cent under the no EU-deal scenario). At the other end, prices of bread and cereals (which are more likely to be produced domestically), and of fish (with a low EU share of UK imports), will see price rises not exceeding 3 per cent.
4.1. The prices of food products in the UK are expected to increase under all Brexit scenarios. In addition, our modelling also suggests that the UK’s food processing industry may see an expansion in domestic production after Brexit. This is because increasing tariffs and NTMs (which are relatively higher on foodstuffs than on other manufactured goods) ‘protect’ domestic producers from import competition and lead to expansion in output (but reduction in both exports and imports). It is important, however, not to confuse an increase in self-sufficiency with an increase in food security: there has been no evidence that supplies from the EU are insecure and domestic supplies are just as subject to local shocks such as weather or disease as are those from abroad.
4.2. Our modelling of the impact of Brexit suggests that domestic production in the food processing industry will expand under all Brexit scenarios, with this growth in domestic production ranging from 0.9 per cent under the soft EEA membership Brexit to 9.2 per cent under the pessimistic no deals Brexit. Again, there are likely to be differences in this growth between different sectors (see: Table 6).
Table 6: Impact of different Brexit scenarios on output in food processing sectors
| S1. EEA | S2. FTA with EU and FTA67 | S3. FTA with EU | S4. No Deals | S5. FTAs with FTA67 and ROW |
Percentage change in output | |||||
1010 Processing/preserving of meat | 2.3 | 10.2 | 10.4 | 18.3 | -3.2 |
1020 Processing/preserving of fish, etc. | -1.8 | -4.9 | 3.0 | 3.1 | -13.5 |
1030 Processing/preserving of fruit, vegetables | 3.8 | 13.8 | 16.3 | 24.8 | 15.9 |
1040 Vegetable and animal oils and fats | -4.3 | -6.3 | -6.9 | -2.2 | -10.8 |
1050 Dairy products | 2.7 | 12.6 | 12.6 | 22.6 | 22.7 |
1061 Grain mill products | -0.4 | -0.5 | -0.8 | -0.1 | -1.3 |
1062 Starches and starch products | 2.0 | 8.3 | 8.3 | 13.7 | 12.6 |
1071 Bakery products | 0.4 | 1.7 | 1.7 | 3.8 | 3.6 |
1072 Sugar | -3.5 | -8.2 | 4.5 | 9.8 | -13.9 |
1073 Cocoa, chocolate and sugar confectionery | 0.4 | 2.7 | 2.7 | 5.8 | 5.6 |
1074 Macaroni, noodles, couscous, etc. | 4.1 | 29.9 | 33.7 | 91.2 | 35.4 |
1079 Other food products n.e.c. | 0.5 | 3.9 | 3.8 | 7.2 | 5.7 |
1080 Prepared animal feeds | 0.1 | 0.9 | 0.6 | 2.3 | 2.5 |
Food processing – average | 0.9 | 4.4 | 5.0 | 9.2 | 3.1 |
(Source: Gasiorek, M., Serwicka, I. and Smith, A. (2018) Which Manufacturing Sectors are Most Vulnerable to Brexit?, UK Trade Policy Observatory Briefing Paper 16.)
4.3. As stated above, this growth in domestic production will come at the expense of higher domestic prices for consumers. This will have implications on household spending power, which our research to date suggests will have a most negative effect on unemployed households, those with children, and pensioners.
2 March 2018
REFERENCES
Anson, J., Cadot, O., Estevadeordal, A., Melo, J. d., Suwa-Eisenmann, A. and Tumurchudur, B. (2005) Rules of Origin in North–South Preferential Trading Arrangements with an Application to NAFTA, Review of International Economics, 13(3): 501–17.
Cadot, O., Estevadeordal, A. and Suwa-Eisenmann, A. (2005) Rules of Origin as Export Subsidies, CEPR Discussion Paper No. 4999.
Cadot, O. and Gourdon, J. (2016) Non-Tariff Measures, Preferential Trade Agreements, and Prices: New Evidence, Review of World Economics, 152(2): 227-49.
Carrère, C. and de Melo, J. (2015) Are Different Rules of Origin Equally Costly? Estimates from NAFTA, World Scientific Book Chapters, in: Developing Countries in the World Economy, chapter 12, pages 277-298 World Scientific Publishing Co. Pte. Ltd.
Centre for Economic Policy Research (2013) Estimating the Economic Impact on the UK of a Transatlantic Trade and Investment Partnership (TTIP) Agreement between the European Union and the United States. Final Project Report, March 2013.
Clarke, S., Serwicka, I. and Winters, L.A. (2017) Will Brexit Raise the Cost of Living?, National Institute Economic Review, 242(1):R37-R50.
Francois, J., Manchin, M., Norberg, H., Pindyuk, O. And Tomberger, P. (2013) Reducing Transatlantic Barriers to Trade and Investment: An Economic Assessment. Final Project Report, March 2013.
Gasiorek, M., Serwicka, I. and Smith, A. (2018) Which Manufacturing Sectors are Most Vulnerable to Brexit?, UK Trade Policy Observatory Briefing Paper 16. Available at: http://blogs.sussex.ac.uk/uktpo/publications/which-manufacturing-sectors-are-most-vulnerable-to-brexit/.
Gourdon, J. (2014) CEPII NTM-MAP: A Tool for Assessing the Economic Impact of Non-Tariff Measures, CEPII Working Papers 2014-24, CEPII Research Center, Paris.
Hayakawa, K. (2011) Measuring Fixed Costs for Firms’ Use of a Free Trade Agreement: Threshold Regression Approach. IDE Discussion Papers No. 275, Institute of Developing Economies, Japan External Trade Organization(JETRO).
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[1] Clarke, S., Serwicka, I. and Winters, L.A. (2017) Will Brexit Raise the Cost of Living?, National Institute Economic Review, 242(1):R37-R50. Available at: http://blogs.sussex.ac.uk/uktpo/files/2017/11/Will-Brexit-Raise-the-Cost-of-Living.pdf.
[2] Gasiorek, M., Serwicka, I. and Smith, A. (2018) Which Manufacturing Sectors are Most Vulnerable to Brexit?, UK Trade Policy Observatory Briefing Paper 16. Available at: http://blogs.sussex.ac.uk/uktpo/files/2018/02/Briefing-paper-16.pdf.
[3] In our most recent work, we used the partial equilibrium model to simulate the impact of Brexit on 122 manufacturing sectors (at the level of 4-digit classes of International Standard Industrial Classification, ISIC Revision 4).
[4] Clarke, S., Serwicka, I. and Winters, L.A. (2017) Will Brexit Raise the Cost of Living?, National Institute Economic Review, 242(1):R37-R50. Available at: http://blogs.sussex.ac.uk/uktpo/files/2017/11/Will-Brexit-Raise-the-Cost-of-Living.pdf.
[5] The modelling was done at the level of 4-digit ISIC4 classes covering manufacturing (but only ten of these map to categories of food products) and a further 18 categories of fresh foodstuffs. Following the simulations, the price effects from the ISIC4 classes were disaggregated into COI+ categories of final consumption goods (where COI+ is a classification of items of expenditure used in the ONS’s Living Costs and Food Survey dataset). For further detail on the disaggregation of price effects, see: http://blogs.sussex.ac.uk/uktpo/files/2017/10/17-10-13-Changing-Lanes-Appendix.pdf.
[6] These tariff data are inclusive of specific duties (which are a fixed amount paid per physical unit of good, such as €100/tonne), which have been converted to ad-valorem equivalent (AVE) tariffs.
[7] Frequency ratio – a measure of the incidence of NTMs – is the proportion of products covered by one or more NTMs.
[8] Gasiorek, M., Serwicka, I. and Smith, A. (2018) Which Manufacturing Sectors are Most Vulnerable to Brexit?, UK Trade Policy Observatory Briefing Paper 16. Available at: http://blogs.sussex.ac.uk/uktpo/files/2018/02/Briefing-paper-16.pdf.
[9] Further detail on the simulation model and data is available at: http://blogs.sussex.ac.uk/uktpo/files/2018/02/18-02-13-BP16Appendix-revised.pdf.
[10] This assumption comes from the secondary literature, such as CEPR (2013), Francois et al. (2013), Carrere and de Melo (2004), Anson et al. (2005), Cadot et al. (2005) and Hayakawa (2011).
[11] The third scenario assumes that the UK grandfathers all existing FTAs with non-EU countries even though the UK leaves the EU with no deal. This in itself is implausible but it enables us to analyse the impact of higher tariffs and (somewhat) higher NTMs on imports from EU alone, while holding everything else constant, making it more in line with our earlier work.
[12] The ad-valorem tariff equivalent of an NTM is the level of tariff that has the same effect on imports as the NTM itself.
[13] The composition of this group is narrower than that of the food processing industry. This explains why the average price change for food (in Table 5) and for the food processing industry (in Table 3) differ.