Ex Ante Impact Assessment under Imperfect Information: Biotechnology in New Member States of the EU

Some argue that the lack of modern agricultural development in the former socialist countries of Central and Eastern Europe has made cutting‐edge biotechnology attractive. However, enthusiasm for planting genetically modified (GM) crops varies greatly in the enlarged European Union (EU) and especially among the New Member States (NMS); the Czech GM maize area is progressively growing whereas Hungary imposed a de facto ban on GM crops. Remarkably, the Hungarian ban was not supported by any cost–benefit assessment. In the literature, ex ante impact assessments of monopolistically priced technologies are often based on cross‐sectional comparisons of average cropping budgets. Such assessments ignore heterogeneity of farmers and underestimate the true impact of these technologies because of homogeneity bias. Therefore, we propose an improved method by explicitly modelling farmer heterogeneity under imperfect information, and assess the potential value and benefit sharing of GM crops in the two NMS using a stochastic partial equilibrium model. The total potential value of GM crops is estimated at €82 million for both countries, of which €60 million (73%) accrues to farmers and €22 million (27%) to the gene developers and the seed industry. This is in line with the literature on global benefit sharing of first‐generation GM technologies.     

Drivers of vertical intra‐industry trade: the case of the Hungarian agri‐food sector

This article investigates the drivers of vertical intra‐industry trade (VIIT) in Hungarian agri‐food trade with the European Union (EU). It identifies three possible ways to measure intra‐industry trade (IIT) flows (GHM, FF, and N methods) and defines six hypotheses to test for the drivers of VIIT with three panel data models (static, dynamic, and FEVD). The results suggest that factor endowments are negatively, while economic size is positively and significantly related to VIIT. Distance and VIIT were found to be negatively related as is commonly the case in the standard gravity model. It was also found that VIIT is greater if a New Member State (NMS) is exporting agri‐food produce to an NMS, while EU accession has ambiguously influenced the share of VIIT. In general, it seems that our results are independent from model estimations and interestingly they do not differ considerably as we a priori expected. Moreover, our results seem surprisingly robust across various measurements of ITT.     

General Equilibrium and the Ban on British Beef Exports

We present an ex post CGE evaluation of the ban on exports of British beef, imposed in 1996 and lifted in 1999. A specific aim is to assess the degree to which cattle, slaughtering and meat processing sectors in the UK recover their pre‐ban positions. More generally, the modelling exercise can be viewed as identifying the extent to which an economy recovers from a policy shock, or similar, when that shock is removed or reversed. Results suggest that, following removal of the ban, exports, output, factor use and trade balances in the directly affected sectors, in the short run, are below their 1996 pre‐ban levels. Whilst some recovery is evident in the long run, not all sectors regain their pre‐ban positions. The results offer further insights into the general equilibrium effects of what was a highly unusual policy shock to the UK economy, that of a three year ban on exports of beef.     

The End of a Romance? A Note on the Quantitative Impacts of a ‘Brexit’ from the EU

This study suggests UK equivalent variation (EV) gains of €8.9 billion on withdrawal from the EU budget. Factoring in associated trade facilitation costs from the loss of UK access to the single market, annual UK EV losses could be as high as €14.0 billion, with the EU‐28 facing a corresponding loss of €40.4 billion. Interestingly, the extrapolated UK gain arising from withdrawal from the ‘CAP’ component of the EU budget exceeds estimated lower and upper bound trade facilitation costs exclusively on EU agrofood trade. Accordingly, the UK should realistically remain as an EU member, although continue to lobby for reductions in the CAP budget.     

Impact of trade liberalisation on dairy market price co‐movements between the EU,Oceania, and the United States

This study investigates the impact of trade liberalisation on the spatial price co‐movements between the dairy markets of the EU, Oceania, and the United States. We consider two main dairy products, namely butter and whole milk powder (WMP), and employ R‐Vines to assess the development of the tail dependence between the price series. We split the time span (i.e. 2000‐2017) in December 2007 to capture the change in the tail dependence as well as in the potential of each region to act as the central market. Our findings indicate that the EU acts as the central market for butter in both sub‐periods, whereas the EU succeeds Oceania in acting as the central market for WMP from the first sub‐period to the next. Further findings highlight slightly increasing tail dependence in the butter market and in the WMP market for the EU‐OCE and EU‐US pairs. However, the tail dependence for the WMP prices between Oceania and the United States weakens, in which we attribute to the 2013 Chinese ban on milk powder imports from Oceania.     

Green Light for Green Agricultural Policies? An Analysis at Regional and Global Scales

This paper analyses the effects of introducing biodiversity‐targeted ecological focus area (EFA) requirements on all farms with arable land in the EU by quantifying their global, regional, economic and environmental impacts in a mutually consistent way. To capture these impacts, different spatial scales need to be considered – ranging from on‐farm decisions regarding the EFA in the EU, to supply response around the world. In order to address this challenge, we combine the supply side of the CAPRI model, which offers high spatial, farm and policy resolution in the EU, with the GTAP model of global trade and land use. Both models are linked through a multi‐product, restricted‐revenue function for the EU crop sector. The results predict improved environmental status in the high‐yielding regions of the EU. However, output price increases lead to intensification in the more marginal areas of the EU where little or no additional land is taken out of production. The decrease in arable land in the EU is partially compensated by an increase of crop land, as well as increased fertiliser applications, in other regions of the globe. Thus, the improvement of environmental status in the EU comes at the price of global intensification, as well as the loss of forest and grassland areas outside the EU. Overall, we find that every hectare of land that is taken out of production in the EU increases greenhouse gas emissions in the rest of the world by 20.8 tonnes CO₂ equivalent.     

Regional trade agreements and trade in agri-food products: evidence for the European Union from gravity modeling using disaggregated data

The proliferation of regional trade agreements in recent years has intensified the debate on the desirability of these agreements in themselves and their coexistence with multilateral free trade under the WTO. This study contributes to this debate by analyzing trade creation and trade diversion effects of the European Union on trade flows of six major agri‐food products from 1985 to 2000. An extended gravity model is estimated employing pooled data and generalized least squares methods. The results show that the developments in the EU since the mid‐1980s have served to boost agri‐food trade significantly among the members. Some of the growth in intra‐EU trade in agri‐food products came at the expense of nonmembers as the EU reduced the degree of relative openness to trade with nonmembers during this period and diverted trade from the rest of the world into the intra‐EU channels.     

The Impact of an EU–US Transatlantic Trade and Investment Partnership Agreement on Biofuel and Feedstock Markets

We assess the impact of a potential TTIP bilateral free trade agreement on the EU and US bio‐economies (feedstock, biofuels, by‐products, and related competing crops) and major trade partners in these markets. The analysis develops a multi‐market model that incorporates bilateral trade flows (US to EU, EU to US, and similarly with third countries) and is calibrated to the OECD‐FAO baseline for 2013–2022 to account for recent policy decisions. The major policy reforms from a TTIP involve tariff and TRQ liberalisation and their direct contractionary impact on US sugar supply, EU biofuel production, and indirect negative effect on US high fructose corn syrup (HFCS) production. EU sugar and isoglucose production expand along with US ethanol and biodiesel and oilseed crushing. EU sugar would flow to the US, US biofuels and vegetable oil to the EU. We further quantify non‐tariff measures (NTM) affecting these trade flows between the EU and the US. EU oilseed production contracts, and EU crushing expands with improving crushing margins following reduced NTM frictions. Our analysis reveals limited net welfare gains with most net benefits reaped by Brazil and not the two trading partners of the TTIP.     

Brexit,Trade Agreements and CAP Reform

Although a number of reforms have significantly changed the Common Agricultural Policy (CAP ) over the past two decades, a defining characteristic of the policy is its prohibitively high import tariffs on a number of key commodities as tariff cuts have not formed part of CAP reform. These high tariffs, whilst protecting EU producers, complicate the EU 's attempts to negotiate Free Trade Area (FTA ) agreements around the world, and will likewise be problematic for agri‐food trade with a post‐Brexit UK , particularly over the politically sensitive border between the EU ‐27 and the UK on the island of Ireland. An open border could be more easily secured if the UK 's tariff barriers on CAP products matched those of the EU ‐27. This, however, implies either that the UK will have to abandon its plans to pursue ‘free‐trade’ policies with other countries around the world, or that the EU ‐27 needs to complete its reform of the CAP by unilaterally reducing its tariff barriers. It seems highly unlikely that the challenges posed by Brexit would prompt the EU to unilaterally reduce its excessively high CAP tariffs.     

‘Deal’ or ‘No Deal’? Impacts of Alternative Post‐Brexit Trade Agreements on UK Agriculture

Brexit will have important implications for UK agricultural commodity markets due to potentially significant changes to trade flows. We quantify the sectoral impacts on UK agriculture of three illustrative scenarios, which capture a broad range of potential trade arrangements: Bespoke Free Trade Deal , WTO Default and Unilateral Trade Liberalisation . It is estimated that the projected market impacts are relatively small if the UK negotiates a Bespoke Free Trade Agreement with the EU. The projected impacts are much greater under the two other scenarios, which capture potential trade arrangements if ‘no deal’ is reached. The high tariffs imposed under the WTO default scenario lead to significant adjustments in trade between the UK and EU‐27, with the impact on the domestic UK market depending on whether the UK is a net importer or a net exporter of the relevant commodity. All sectors experience price and production declines under the trade liberalisation scenario in which the UK unilaterally sets tariffs on imports from both the EU‐27 and the rest of the world to zero; the impacts are particularly severe in the beef and sheep sectors where international competition is very strong.     

Export Restrictions and Smooth Transition Cointegration: Export Quotas for Wheat in Ukraine

We extend previous modelling approaches to identify domestic price effects of export controls. We allow for smooth transition between free‐trade price transmission regimes and those under export restricting regimes, using a smooth transition cointegration (STC) approach, rather than the more common assumption that regime changes are abrupt. Our approach has the advantage that the switch in the price transmission regime may be induced not only by an actual but also by an expected policy change. Results confirm the gradual nature of the transition between the regimes, which reflect trader heterogeneity and wheat storage decisions. We find that the STC approach outperforms alternative model approaches in terms of both regime classification and goodness of fit, when explaining Ukrainian domestic wheat prices under export controls. In particular, application of the Markov‐switching error correction model (MSECM) to the same data generates results which do not reflect any identifiable economic reality (in contrast to Götz et al., 2013 ).     

Implications of the Comprehensive Economic and Trade Agreement for Processed Food Markets

Canada and the European Union (EU) recently completed the Comprehensive Economic and Trade Agreement (CETA) to liberalize bilateral trade. Processed food trade between Canada and the EU is one of the fastest growing markets, in spite of large trade restrictions due to high tariffs and egregious nontariff barriers (NTB). The processed food sector is characterized by firms which differ in size, productivity, produce differentiated products, and engage in monopolistic competition. We implement a four‐region (Canada, the EU, the United States, and the Rest of the World) model of the processed food industry, incorporating these firm characteristics to study the effects of CETA. The results show Canadian and EU bilateral trade flows expand, the number of exporting firms rises, and net welfare in both these countries increases. Though CETA does not liberalize NTBs, we examine the impacts of a 40% cut in NTBs to highlight the benefits that would have accrued had CETA also covered NTBs. Under this scenario, the trade flows would have expanded significantly, and, more importantly, Canadian and EU welfare would have risen by 11.8‐ and 39.4‐fold, respectively. Since CETA excludes the United States, the U.S. processed food industry loses due to greater competition in Canadian and the EU markets, and the net U.S. welfare declines.     

Sinks, Emissions Intensity Caps and Barriers to Emissions Trading

The European Union (EU) has raised concerns about the use of sinks and an Emissions Intensity system in Canada and has decided not to allow sinks to be included in its trading system. Despite this restriction, the EU has shown interest in expanding its trading system to include other countries such as Japan and Canada, while Canada hopes to use sinks and a domestic trading system with an Emissions Intensity regulatory mechanism to meet its Kyoto GHG commitments. In this paper, we briefly discuss some of the implications of the Emissions Intensity regulations scheme, and then develop a simple credit model with trade to illustrate the effect of a trade ban put in place by the EU, first, when it is fully binding and second, when there are countries that can act to arbitrage both markets (e.g., Japan). We also look at the possibilities of using harmonization frameworks to control trade, as well as using a form of discounting with respect to Canadian credits. We show that it is highly unlikely that a trade barrier will increase the use of emission reduction (and decreased use of sinks), and that, particularly in the likely case that Canada will import credits, trade barriers will actually increase the use of sinks. We do find, however, that the use of discounting could serve as a possible policy alternative to increase the use of EU reductions, while decreasing the quantity of Canadian sink credits.     

European Agriculture after Brexit: Does Anyone Benefit from the Divorce?

The UK exited the EU on 31 January 2020, with a transition period agreed as part of the Withdrawal Agreement. During this transition period the UK and the EU will decide on their future trading relationship. No matter what form this relationship takes, there will be disturbances to agri‐food markets. This study analyses four different scenarios with increasing barriers to trade, ranging from a very close relationship similar to the European Economic Area to a distant relationship in which the UK and EU trade on Most Favoured Nation terms, using the EU focused global agricultural sector model CAPRI. In the UK, food prices will increase in all scenarios, making consumers in the UK the biggest losers. Only in a free trade agreement scenario does the UK show an unambiguous positive net welfare gain in just the agri‐food sector. In the case of the European Economic Area scenario, which assumes continued access to the single market, the net welfare impact would depend on the size of the UK’s continued contribution to the EU. In the EU, declining food prices would benefit consumers but the sum of the loss in farmers’ incomes and the UK’s EU CAP contribution would be much greater than the consumer’s gain. These impacts in agricultural markets under different future trade arrangements will also be influenced by the UK’s agricultural policy changes in direct payments as well as by possible further UK trade liberalisation after the end of the transition period.     

Exports and governance: the role of private voluntary agrifood standards

The empirical evidence that institutional differences across countries affect bilateral trade is robust. The crucial question remains how countries can enhance trade amid these differences. In this article, we measure the degree to which governance and institutions differ between countries as “governance distance.” Using a sample of EU/EFTA imports, we examine how adopting private agrifood safety standards modify the effect of governance distance on exports of fruits and vegetables, in particular apples, bananas, and grapes, within a structural gravity framework. Our results show that while increasing governance distance hinders bilateral trade, the interaction of standards and the governance distance is positively associated with exports, hence partially offsetting the direct trade‐inhibiting effects of the latter. GlobalGAP certified countries see the trade‐inhibiting effects of governance distance on their exports reduced by about 50%, ceteris paribus.     

Country‐Specific Determinants of Horizontal and Vertical Intra‐industry Agri‐food Trade: The Case of the EU New Member States

Intra‐industry trade (IIT) has become a widespread phenomenon with a growing role in international trade, though agricultural trade is usually neglected in empirical works. This article identifies the determinants of horizontal and vertical intra‐industry agri‐food trade between New Member States (NMS) and the EU‐27 in 1999–2010, by applying static and dynamic models with different specifications to panel data. Results show that IIT is mainly of a vertical nature in the NMS, though the majority of NMS export low quality agri‐food products to EU‐27 markets. Factor endowments are negatively related to agri‐food horizontal intra‐industry trade (HIIT), but positively to vertical intra‐industry trade (VIIT). Economic size is positively and significantly related to both types of IIT, while distance and IIT are found to be negatively related in both cases. Results also suggest that HIIT and VIIT are greater if a New Member State exports agri‐food products to another NMS while EU accession has had positive and significant impacts on both HIIT and VIIT, suggesting that economic integration fosters IIT.     

Do the BRICs and Emerging Markets Differ in their Agrifood Imports?

This study develops an import demand model to explore the role of income in explaining the trade performance of low‐, middle‐ and high‐income countries with a special emphasis on Brazil, Russia, India and China – the BRIC economies. The study estimates the impact of the growth in per capita income on the trade of agrifood products using data from 52 countries and 20 agrifood products for the years 1990–2006. The results suggest that China, Russia and Brazil now have more income elastic import demands than other middle‐income countries. Conversely, the income elasticities of import demand in India are similar to other low‐income countries and for the most part statistically equal to zero.     

Assessing the Forecasting Performance of a Generic Bio‐Economic Farm Model Calibrated With Two Different PMP Variants

Using linear programming in bio‐economic farm modelling often results in overspecialised model solutions. The positive mathematical programming (PMP) approach guarantees exact calibration to base year data but the forecasting capacity of the model is affected by necessary but arbitrary assumptions imposed during calibration. In this article, a new PMP variant is presented which is based on less arbitrary assumptions that, from a theoretical point of view, are closer to the actual decision making of the farmer. The PMP variant is evaluated according to the predictions of the bio‐economic farm model, developed within the framework for integrated assessment of agricultural systems in Europe (SEAMLESS). The forecasting capacity of the model calibrated with the standard PMP approach and the alternative PMP variant, respectively, is tested in ex‐post experiments for the arable farm types of Flevoland (the Netherlands) and Midi‐Pyrenees (France). The results of the ex‐post experiments, in which we try to simulate farm responses in 2003 using a model calibrated to 1999 data, show that the alternative PMP variant improves the forecasting capacity of the model in all tested cases.     

Black Sea and World Wheat Market Price Integration Analysis

In 2008–10, Russia and Ukraine together exported an average of 29 million tons of wheat per year, and have become important players in the international wheat market. This research summarizes the short‐ and long‐run wheat price dynamics between Ukraine and Russia, and other major wheat exporters—the United States, European Union (EU), and Canada—from 2004 to 2010. Tests of market price co‐integration (Johansen maximum likelihood test and residual‐based tests) as well as threshold error correction techniques were performed for this purpose. The results suggest that Russian wheat prices were co‐integrated with EU and U.S. wheat prices but not with Canadian wheat prices. Ukrainian wheat prices were found to be co‐integrated with French wheat prices only. The estimated long‐run wheat price transmission elasticities were estimated to be equal to 1.04 between Russian and French (a representative country of the EU) wheat prices, 1.16 between Russian and U.S. wheat prices, and 1.05 between Ukrainian and French wheat prices. We also found the short‐term relationships between the co‐integrated series to be statistically significant. Price adjustments in all co‐integrated prices were found to be symmetric.     

Comparative Advantage in Demand: Experimental Evidence of Preferences for Genetically Modified Food in the United States and European Union

The United States (US) exports more than US$6 billion in agricultural commodities to the European Union(EU) each year, but one issue carries the potential to diminish this trade: use of biotechnology in food production. The EU has adopted more stringent policies towards biotechnology than the US. Understanding differences in European and American policies towards genetically modified (GM) foods requires a greater understanding of consumers’ attitudes and preferences. This paper reports results from the first large‐scale, cross‐Atlantic study to analyse consumer demand for genetically modified food in a non‐hypothetical market environment. We strongly reject the frequent if convenient assumption in trade theory that consumer preferences are identical across countries: the median level of compensation demanded by English and French consumers to consume a GM food is found to be more than twice that in any of the US locations. Results have important implications for trade theory, which typically focuses on differences in specialization, comparative advantage and factor endowments across countries, and for on‐going trade disputes at the World Trade Organization.