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Interlinkages Between Agri-Food Trade and the SDGs at the Global, Regional and Local Level

Armah, Ralph N.A.; Quartey, Peter; TURKSON, FESTUS EBO; Abbey, Emmanuel; Mawuenyega, Butu; Huan-Niemi, Ellen

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Journal of International Development, 2025; 37:951–977 https://doi.org/10.1002/jid.3994 951 Journal of International Development REVIEW ARTICLE OPEN ACCESS Interlinkages Between AgriFood Trade and the SDGs at the Global, Regional and Local Level ArmahN.A.Ralph1 | QuarteyPeter1 | TurksonEboFestus1,2 | AbbeyN.Emmanuel1,2 | MawuenyegaM.Butu1,2 | Huan-NiemiEllen3 1Institute of Statistical, Social and Economic Research, University of Ghana, Legon, Ghana | 2Department of Economics, University of Ghana, Legon, Ghana | 3The National Resources Institute Finland (Luke), Helsinki,Finland Correspondence: Abbey N. Emmanuel ([email protected]) Received: 22 May 2024 | Revised: 30 December 2024 | Accepted: 29 January 2025 Funding: This paper is publishing the results from the Trade4SD research project funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101000551. Keywords: agrifood| economic| environmental| guidance| opportunities| SDGs| social| trade ABSTRACT This study is a structured review on the interlinkages between agrifood trade and the SDGs in the environmental, social and economic dimensions to identify any missed opportunities that agrifood trade could positively impact the SDGs and provide policy guidance for the missed opportunities at the global, regional and national levels. A great deal of diversity in the papers at the global level, and papers at the regional level are similar, but there is additional analysis on promoting regional markets and value chains. Papers at the local level are productspecific to emphasise how the trade of specific agricultural commodities would affect the achievement of particular SDGs in question. There is a concern regarding whether agrifood trade can promote sustainability and the attainment of the SDGs. This is particularly important given that gains from trade are not entirely equitable. Questions relating to concrete innovations, policies and behavioural changes that can ensure systemic transformations remain critical and need to be addressed. 1 | Introduction Agrifood trade, mainly involving the international exchange of agricultural products, is important in addressing the challenges of global food security (Smith and Glauber2020; Mary2019). This notwithstanding, there are concerns about the extent to which trade is interlinked with sustainability and more specifically the sustainable development goals (SDGs). An increase in agrifood trade can undermine the SDGs related to the environment such as climate change, biodiversity loss and natural resource degradation. Gatti etal.(2021) argued that trade could have devastating effects on the environment as it may encourage agricultural extensification and threaten forest cover. Mausch etal.(2020) also showed how increased trade can lead to environmental degradation and social inequality. Agrifood trade could be useful in promoting the SDGs. The World Bank(2018) argues that economies that are involved in agrifood trade are more likely to grow quickly, innovate, boost productivity and ensure better living standards and higher incomes. Lee etal.(2012) provide the advantages of trade through participation in global value chains and argue that trade encourages economic growth and lowers poverty. Trade is thus likely to provide better jobs, lower product prices and stimulate the growth necessary to alleviate poverty. Therefore, international agrifood trade has an important role to play in promoting sustainable development at the global, regional and local/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2025 The Author(s). Journal of International Development published by John Wiley & Sons Ltd. 952 Journal of International Development, 2025 countryspecific levels (World Bank2018). However, effective policy measures are needed in preventing or limiting the damage to ecosystem because of expansion in agricultural trade and production due to trade liberalisation. This paper provides a structured literature review on the relationships between international agrifood trade and sustainability to better understand how agrifood trade is promoting or deterring the achievement of SDGs. There are many studies linking agrifood trade with sustainability, but studies exploring the nexus between agrifood trade and the list of SDGS categorised in the three dimensions of sustainability— environmental, social and economic—is rare. HuanNiemi etal.(2022) conducted a scoping exercise on the possible linkages between international agrifood trade and the SDGs according to the different dimensions of sustainability. Dangles and Struelens (2023) assessed literature published between 2017 and 2021, whereby the research results are supporting only the achievement of SDG 2 without examining the rest of the SDGs. Meanwhile, El Bilali etal.(2021) explored the academic literature to assess the nexus between agrifood systems and the SDGs, but not focusing on agrifood trade. The FAO(2019) has provided practical and interconnected actions with the aim of transforming food and agriculture to propel achievement across the SDGs, primarily targeting decisionmakers responsible for integrating the goals and targets of the 2030 Agenda for Sustainable Development into national policies and programmes. The main motivation of this paper is to examine the interlinkages between agrifood trade and the SDGS in an effort to identify any missed opportunities that agrifood trade could foster a positive impact on the SDGs as well as to provide some policy guidance for the missed opportunities at the global, regional and national levels. Accordingly, the analysis is structured at the global, regional and local levels to provide a wideranging overview of the relationship between agrifood trade and the SDGs. Specifically, this paper identifies the most analysed countries or regions and the types of issues that have emerged. While papers at the global level emphasised the implication of agricultural trade and sustainability for all countries in the world, the regional papers focused mainly on regional blocs including Asia, Africa and Europe; meanwhile, locallevel papers are countryspecific studies examining the interlinkages between the trade of certain agrifood commodities and the SDGs. Overall, we observe that the relationship between agrifood trade and the SDGs has been tackled in various ways. At the global level, specifically, we find a great deal of diversity in the papers. At the regional level, the studies are similar to those at the global level, but there is additional analysis on promoting regional markets and value chains that could contribute to the SDGs in the economic and social dimensions. Studies at the local level are productspecific to emphasise how the trade of specific agricultural commodities would affect the achievement of particular SDGs in question. One important conclusion that we make is that profound systemic transformation is required to ensure that agrifood trade can effectively contribute to the attainment of the SDGs. And to ensure this occurs, there are open questions about the type of innovations, policies and behavioural changes that need to be addressed. 2 | Materials and Methods Two online scientific databases (i.e., Scopus and Web of Science) were used in the search for the relevant literature to support this study. The terms used in the search were ‘Sustainable Development Goal’ and ‘trade’. These specific words were included in the articles' title, abstract or keywords. The search was restricted to studies in English or with some information available in English. From the databases, the initial search yielded 3774 articles (Figure1). The online software package (Covidence) was used to exclude duplicates while retaining relevant studies. After excluding 989 duplicates, 2785 articles remained as studies to be investigated in the systematic literature review. The initial screening is based on the title and abstract, but studies with conflicting outcomes were discussed among different reviewers. This screening resulted in 2618 articles being excluded. The remaining 167 articles, covering all the relevant journal articles published until the end of August 2021, were screened more indepth by the reviewers to analyse the relationship between international trade and the SDGs. Two different searches were executed (see Figure1)—the broad ‘systematic search’, which resulted in 167 journal articles and the narrow ‘expert search’, which resulted in 57 journal articles—by the interdisciplinary researchers involved in this study. The ‘expert search’ was based on the different disciplines and expertise of the researchers and executed through the Google search engine for policy papers and grey literature along with Google Scholar for additional journal articles searched after August 2021. Therefore, the ‘expert search’ was a more focused search to complement the ‘systematic search’ to include specific and current topics together with journal articles that were not captured by the broad ‘systematic search’ as well as to find policy papers and grey literature to support the policy guidance for the missed opportunities in agrifood trade that could positively impact the SDGs. A total of 13 references from grey literature were used for the indepth analysis. In this study, the ‘direct’ and ‘indirect’ linkages between the 17 SDGs and international trade are analysed and classified into the environmental, social and economic dimensions (see Figure2). If a specific SDG is mentioned explicitly in an article, it is considered a direct linkage. If a specific SDG is not mentioned explicitly in an article, but the keywords relating to the SDGs are mentioned in an article (e.g., growth and poverty), it is considered an indirect linkage. The linkages are considered as positive outcomes if agrifood trade facilitates the achievements of the SDGs, and the linkages are considered as negative outcomes if agrifood trade hinders the achievements of the SDGs. In exploring the link between global value chains and the SDGs, it is considered a direct linkage if a specific activity (e.g., palm oil production) is directly affecting the SDG either with positive outcomes (e.g., income generation and employment) or negative outcomes (e.g., land grabbing and poor housing conditions). If a specific activity (e.g., deforestation due to land clearing for palm oil production) is indirectly affecting the SDG with a negative outcome, it is considered an indirect linkage. This approach was used to identify the missed opportunities in agrifood trade that could positively impact sustainability, defined in terms of the SDGs. 953 3 | Results 3.1 | Spatial Distribution and Interlinkages of Traded AgriFood Products With the SDGs This section presents the results of the 224 journal articles reviewed in this study (see Appendix A for the full list of papers reviewed). The analysis is structured at the global, regional and local levels and classified into different agricultural products that are explicitly stated in the journal articles, which include seafood and fisheries, fresh fruit and vegetables and other tropical commodities. Table1 is listing studies at the global, regional and national levels that are examining the interlinkages between the trade of certain agrifood commodities and the related SDGs. The listed studies are especially chosen from the 224 journal articles to emphasise how the trade of specific agricultural commodities would affect the achievement of particular SDGs in question. The majority of the studies with 121 papers are at the global level, overall emphasising the implication of agricultural trade on sustainability with different linkages to the SDGs (both positive and negative outcomes). Meanwhile, the rest of the studies are either regional papers or locallevel papers pertaining at the country level divided into regions such as Europe (20 papers), FIGURE 1 | Systematic literature review—PRISMA flow diagram. 954 Journal of International Development, 2025 Africa (30 papers), Asia (42 papers), North America (5 papers) and Latin America (4 papers). There is only one paper each for the Mediterranean and Oceania region. Therefore, many papers are mainly dealing with regions and developing countries located in Africa and Asia. At the global level, the papers reviewed have discussed various aspects of international agricultural trade and the SDGs. Most of the papers focused on the areas of economic development and growth (Downing etal.2021; Montanía etal.2021), economic policies and governance (Skerritt and Sumaila 2021; Sumaila et al. 2019), livelihood and wellbeing (Downing et al. 2021; Skerrit and Sumaila 2021) and biodiversity (Wu et al. 2021; Skerritt and Sumaila2021; CisnerosMontemayor and Sumaila2019; Costello etal.2021; Asche etal.2015; Sumaila etal.2019). The papers reviewed can be linked both directly and indirectly to SDG 1 (no poverty), SDG 8 (decent work and economic growth), SDG 13 (climate action), SDG 14 (life below water) and SDG 15 (life on land). The issues reviewed at the regional level are similar to those of the global level, although the studies found were mostly about the European Union (EU), Africa and Asia. The issues studied relate to markets and value chain (Ezirigwe et al. 2021), economic development and growth (Lerner etal.2021), traderelated economic policies and governance (Lerner etal.2021; Corrado et al. 2020), food and nutrition security (Ezirigwe etal.2021), livelihood and wellbeing (Corrado etal.2020; Penca etal.2021), biodiversity (Penca etal.2021) and emissions and pollution (Corrado etal.2020). The reviewed papers have linkages to SDG 1 (no poverty), SDG 2 (zero hunger), SDG 3 (good health and wellbeing), SDG 6 (clean water and sanitation), SDG 9 (industry, innovation and infrastructure), SDG 12 (responsible consumption and production) and SDG 16 (peace, justice and strong institutions). Studies at the local level typically focus on particular agricultural products (such as croplivestock systems, sugar, palm oil, coffee, coconut, cotton, milk, pineapple, pomelo and rapeseed) and relate to economic development and growth, economic policies and governance (Nhlengethwa et al. 2021; Valdivia etal.2017; Bacon etal.2008), livelihood and standard of living and impacts on ecosystem services (Ayompe etal.2021). These studies have linkages to SDG 1 (no poverty), SDG 2 (zero hunger), SDG 4 (quality education), SDG 8 (decent job and economic growth), SDG 11 (sustainable cities and communities) and SDG 15 (life on land). 3.2 | The Interlinkages Between Trade and the SDGs 3.2.1 | Findings From the Literature Review Although trade can influence sustainability in many different ways, our discussion focuses on the SDGs and specifically on three dimensions: environmental, social and economic (see Figure2). The SDGs are classified according to the ‘planetary boundaries’ concept that involves Earth system processes and contain environmental boundaries (Stockholm Resilience Centre2017). This concept is defining a ‘safe operating space for humanity’ as a precondition towards sustainable development for the international community, including governments at all levels, international organisations, civil society, the scientific community and the private sector. This framework is based on scientific evidence that human actions since the Industrial Revolution have become the main driver of global environmental change. Figure 2 is showing that social and economic dimensions are seen as embedded in the environmental dimension, thus implying that the environmental aspects are the most important followed by the social aspects and finally the economic aspects, embedded in the social and environmental dimensions. Each of the dimensions consists of separate topics related to the economic, social and environmental issues reviewed in the literature and associated to the different regions (see Figure3). i. Economic dimension (markets and value chains, economic development and growth and policies and governance); ii. Social dimension (food and nutrition security, labour and employment and livelihood and wellbeing); iii. Environmental dimension (biodiversity, GHG emissions, pollution, deforestation and renewable energy). Concerning the economic dimension, the interest is mainly on the extent that trade can directly contribute to the SDGs focusing on economic development and growth (152 papers), policies and governance (38 papers) along with markets and value chains (14 papers). A good starting point for this discussion is the conventional classical trade theories, which emphasise the importance of capital accumulation, specialisation and division of labour in facilitating trade between countries (WTO2018). Trade liberalisation is treated as a critical engine for economic growth. A direct link to the SDGs can be the effect of agrifood trade that enhances economic growth (SDG 8) as well as the transfer of technology, knowledge and innovation (SDG 9), the reduction of inequalities (SDG 10) and the facilitation of responsible consumption and production via sustainable value chains (SDG 12). The WTO(2018) study provides an explanation on how trade enhances economic growth by emphasising the advantages of improved purchasing power of consumers and the FIGURE 2 | The Sustainable Development Goals (SDGs) are classified into the three dimensions of sustainability according to the ‘planetary boundaries’ concept. 955 TABLE 1 | The interlinkages of traded agrifood products with the SDGs. Agrifood products Global level Regional level Local level Direct linkage Indirect linkage Direct linkage Indirect linkage Direct linkage Indirect linkage Seafood and fisheries Seafood 2, 8, 14 1, 8, 10, 12, 14 Fisheries 1, 2, 8, 14 1, 8, 9, 10, 12 Smallscale fisheries 9, 11, 14 3, 8 Fresh fruit and vegetables Pomelo 8, 10 1, 9 Pineapple 1, 8, 9 Tropical commodities Coffee 1, 9, 16 8, 10 1, 2, 4, 8, 9 Sugar 8, 9, 11, 16 3, 4 Coconut 8 9, 10 Palm oil 15 1, 4, 5, 6, 7, 11, 12, 16 1, 8, 11, 15 13, 16 Cereals Rice 13 15 1, 2 Oilseeds Soybean 8, 12, 15 2, 6, 13 Rapeseed 7, 13 9 Others Cotton 2, 8 Milk 8, 10 1, 2 Agricultural goods 1, 2, 3, 6, 12 8, 9, 13 Croplivestock systems 1, 82, 6, 10, 12, 15 (Continues) 956 Journal of International Development, 2025 competitiveness of domestic firms. The study discusses the advantages of firms exploiting economies of scale to enhance their productivity, which ultimately increases production and consumption. Ali etal.(2021) showed how trade liberalisation policies stimulated technological innovation in many Asian countries. Artuc etal. (2019) discussed gains from trade and found evidence of a tradeoff between the income gains and the inequality costs, which arises because trade tends to exacerbate income inequality. Concerning agrifood trade, Alharthi and Hanif(2020) found that the blue economy (fisheries production and fishing) played a direct and positive role in the economic growth of the South Asian Association for Regional Cooperation (SAARC) countries. Borsellino etal.(2020) conducted an extensive literature review and also found positive, although indirect, spillover effects of agrifood trade on economic growth. This finding was consistent for specific agricultural products. Chiputwa and Qaim(2016) found similar indirect positive effects of certified coffee trade on economic growth in Uganda. Lee etal.(2012) also show that global value chains of agrifood products promote economic growth and poverty reduction. Under the social dimension, the studies reviewed focus largely on livelihood and wellbeing (122 papers), food and nutrition security (24 papers), followed by labour and employment (1 paper), accordingly. The studies relate to how trade directly or indirectly affects social challenges such as hunger, food security, healthy lives, wellbeing or labour issues and employment. Through its effects on economic growth and development, trade could lead to a reduction in poverty (SDG 1), mainly through increased incomes and welfare (Bhagwati and Srinivasan 2002). However, there could be some adverse effects if, for instance, trade is accompanied by protectionist policies leading to a decline in the efficiency of labour and the competitiveness of local firms (Bhagwati and Srinivasan2002). Ge etal.(2021) also showed how an open, rulesbased trading system and the creation of a transparent, undistorted production and investment environment are critical to improving food and nutrition security (SDG 2), especially in developing countries. Bacon et al. (2008) and Chiputwa and Qaim(2016) indicated how trade impacts food security through participation in certification or standard schemes, thus increasing household caloric and micronutrient consumption (SDG 3). Feyaerts etal.(2020) argued that trade, through participation in global value chains, could create jobs; however, noted that the development and expansion of global value chains can compete with local value chains for labour (e.g., during harvest) thereby leading to adverse outcomes. For global value chains in the social dimension, Ayompe etal.(2021) found palm oil production to be an important tool for job creation. The contribution of palm oil production and trade to employment has also been confirmed by Downing etal.(2021). Yameogo and Omojolaibi(2021) also explored the link between trade openness and employment and found a positive impact in SubSaharan Africa. In response to campaigns by trade unions and NGOs to enforce labour standards, leading companies in the floricultural value chain in Kenya and Uganda have improved employment conditions, as pointed out by Kaplinsky and Morris(2018). Agrifood products Global level Regional level Local level Direct linkage Indirect linkage Direct linkage Indirect linkage Direct linkage Indirect linkage Supporting literature Asche etal.(2015), CisnerosMontemayor etal.(2020), CisnerosMontemayor and Sumaila(2019), Corrado etal.(2020), Costello etal.(2021), Downing etal.(2021), Kumar etal.(2019), Montanía etal.(2021), Skerritt and Sumaila(2021), Sumaila etal.(2019), Wu etal.(2021) Corrado etal.(2020), Ezirigwe etal.(2021), Lerner etal.(2021), Penca etal.(2021), Weersink etal.(2021) Ayompe etal.(2021), Bacon etal.(2008), Chiputwa and Qaim(2016), Chiputwa etal.(2015), Doliente and Samsatli(2021), Hoang etal.(2021), Hoang and Tran(2019), Meemken etal.(2017), Nhlengethwa etal.(2021), Shumeta etal.(2018), Valdivia etal.(2017), Whitfield(2017) Note: The numbers represent the Sustainable Development Goals (SDGs), and the SDG numbers are colourcoded according to the environmental, social and economic dimensions. TABLE 1 | (Continued) 957 Most of the studies under the environmental dimension focus on biodiversity (94 papers), GHG emissions, pollution and deforestation (23 papers), followed by renewable energy (10 papers), respectively. The main emphasis is on the extent to which trade directly or indirectly affects SDG 6 (clean water and sanitation), SDG 13 (climate actions), SDG 14 (life below water) and SDG 15 (life on land). There is no denying that trade has an impact on the environment through a variety of routes, including input use, production, processing, packaging and transportation. The focus of the literature is mainly on the extent to which continued and sustained trade can be harmful to the environment. According to the ‘gain from trade hypothesis’, trade openness through the technique effect (indicates the changes in individual industries' pollution intensity) facilitates technology transfer across countries promoting energy efficiency, while the scale effect has a direct linkage with the wellknown ‘pollution haven hypothesis’ (Ali etal.2021). Singh etal. (2018) demonstrated how the global trade of fish products contributed to ocean acidification and illegal and overfishing, thereby decreasing biodiversity. Sumaila etal.(2019) and Kumar etal.(2019) focused on harmful fishing and fuel subsidies and the extent to which they affected biodiversity. Another important issue related to the agrifood trade and biodiversity nexus is the negative impacts of the hydrocarbon industry on life in oceans. Agricultural production is heavily reliant on fossil energy, thus large amount of fossil fuels is required to power heavy farming machinery, process foods, refrigerate foods during transportation, produce packaging materials and manufacture chemical fertilisers and pesticides as well as raw materials for petrochemical industries that produce plastics, chemicals and other essential products needed in agrifood trade. Heat gain from anthropogenic climate change, coming largely from fossil fuels and the resulting sealevel rise and ecosystem collapse, is an existential threat to biodiversity (Andrews etal.2021). Ali etal.(2021) examined how trade openness affects greenhouse gas emissions in the Asian region over the 1990–2015 period. They found that the goals of environmental sustainability could be attained if the pace of national output growth was accompanied by environmental regulations and clean technology improvements when framing comprehensive trade policy. 3.2.2 | Global Level At the global level, the literature exploring the relationship between international agricultural trade and SDGs has explored various issues, which cut across all three main dimensions: economic, social and environmental. The papers exploring the economic development and growth issues include the papers by Downing etal.(2021) and Montanía etal.(2021). Downing et al. (2021) focused on the trade in rubber and palm oil in Southeast Asian countries, soy production in Brazil and logging in South Pacific Island states to explore the crosssector effects of production for trade with China. They showed the extent to which trade in these products affected economic growth and development in most countries, using a telecoupling framework that tracks spillover effects to other sectors as well as other scale effects. The study (linked to SDG 15—life on land) further emphasised that existing social and environmental regulations are insufficient to sustain the production of these products. Thus, more efficient regulations, policies or laws are required (link to SDG 16—strong institutions) to manage their production, distribution and transnational equality issues. Montanía et al. (2021) focused on soybean production and showed how its exports boosted the economies of major exporting countries like Brazil and minor FIGURE 3 | Analysis of agrifood trade in the different dimensions of sustainability and region. 958 Journal of International Development, 2025 exporting countries like Ukraine and Paraguay. Relating to the production of soybean to the pressure on natural resources (mostly land use), Montanía etal.(2021) argued that government involvement is required in the development of collaborative strategies between countries that have higher levels of landuse changes involved in its production and export policies. They predicted that the high geographical concentration of exports could affect landuse changes. They also argued that the mismanagement of soybean trade will significantly affect producers and exporters within the soybean production and trade system and could compromise the fulfilment of the SDGs. The discussions showed that soybean export could be enhanced to promote decent work and economic growth (SDG 8) as well as the promotion of responsible consumption and production (SDG 12). The studies also emphasised the importance of collective action (SDG 17—partnerships for the goals). With regards to the papers discussing economic policies and governance issues at the global level, Skerritt and Sumaila(2021) and Sumaila etal.(2019) are the most comprehensive articles on the link between fisheries and harmful subsidies provided by governments; therefore, it is important to eliminate harmful subsidies for fisheries through a multilateral trade agreement under the mandate of the World Trade Organization (WTO). They showed that the lack of a clear metric for measuring the potential scale effects was a huge stumbling block. Skerritt and Sumaila(2021) also discussed the extent to which harmful fisheries subsidies, through their effects on overfishing, which undermines the breeding of fish population that can lead to the nonattainment of SDG targets related to reducing poverty (SDG 1), providing nutritious foods (SDG 2) and securing livelihoods (SDG 8). It is important to note that most of these effects are not direct outcomes of the paper reviewed, respectively, and are based on association without proving the causality in these interactions. Sumaila etal.(2019) explored a similar issue by providing estimates of the scope, amount and level of subsidisation in the fisheries sector. They showed that while the increase in fisheries subsidies has halted compared to previous decades, the bulk of harmful ‘capacityenhancing’ subsidies, particularly those for fossil fuels, has increased as a proportion of total subsidies. They make the case that failure to remove such subsidies will give the impression that fisheries subsidies would undermine sustainability, poverty alleviation and food and nutritional security. They further argued that the subsidies, no matter how small, would be more effective in being redirected towards beneficial forms of support that do not potentially undermine the sustainability of fish stocks. They conclude that for the benefit of marine ecosystems (i.e., both current and future generations of people), the WTO must be supported to reach a meaningful agreement to discipline subsidies that lead to overcapacity and overfishing. They also argue that harmful subsidies could be reoriented towards fisheries management and technological improvements in fishing approaches, a shift from subsidies based on the cost of fishing (fishers' own capital) or the conditional provision of subsidies based on fisheries' environmental performance. On the issue of biodiversity, Skerritt and Sumaila (2021), Sumaila etal.(2019), CisnerosMontemayor and Sumaila(2019) and Costello etal.(2021) have sought to understand the implication of international trade on the sustainability of fish products. Costello etal.(2021) showed how the WTO was in a better position to deliver on SDG 14 (life below water) by reforming global fisheries subsidies to enhance fisheries biodiversity. Downing etal.(2021) and Skerritt and Sumaila(2021) also explored some livelihood and wellbeing issues in global trade. Downing etal.(2021), in their discussion on how trade deals are done and who must be included in their development, emphasised that previous strategies were limited to a few beneficiaries and that there was a need to emphasise largescale effects. Relying on the case of the effect of reforestation programmes in China on countries supplying forest and agricultural commodities to China (mainly rubber and oil palm), they showed that the sustainability progress in China from reforestation is cancelled out by the deforestation and crosssectoral impacts from abroad. They also provided narratives of supporting economic development from commodity production abroad through the benefit distribution of socioecological forest systems. We find many mixed effects—where processes that support the achievement of SDGs exist but are overshadowed by counterproductive processes. Livelihoods are affected because the bulk of the products they focus on are produced by smallholder farmers. The missed opportunities in agrifood trade that could positively impact the SDGs would be the inclusion of smallholder farmers in global value chains. The issue is how smallholder farmers can get access to global markets by participating in global value chains. There are limited studies on assisting smallholder farmers to be included in value chains and access international markets with higher revenues. Participation in certification or standard schemes have increased household caloric and micronutrient consumption because participation in global value chains have increased household income, thus allowing more expenditure on food and better nourishment (Bacon etal.2008; Chiputwa and Qaim2016), therefore promoting food and nutrition security (SDG 2—zero hunger). Contract farming between smallholder farmers and agroindustrial companies can influence production decisions through agreements by specifying market obligations such as value, volume, quality and price as well as provide specific inputs to farmers, thus reducing farmers' production constraints from market imperfections (Swinnen and Maertens 2007). Contract farming could increase farmers' income, stabilise prices, enhance market access, enrich food quality and safety and improve traceability for food retailers (Gómez etal.2020; Guo etal.2007; Hoang etal.2021). Governments can support the related high costs in encouraging smallholder farmers to participate in contract farming through capacity building and training programmes (Arias etal.2013). 3.2.3 | Regional Level The trade and SDGsrelated issues discussed here mimic those of the global level. Concerning the economic dimension of markets and value chains, Ezirigwe etal.(2021) discussed trade in general agricultural goods and navigating the realities of food security in African markets within the context of the COVID19 pandemic. The study showed how trade in agricultural products can be critical in addressing SDG 1 (no 959 poverty), SDG 2 (zero hunger), SDG 3 (good health and wellbeing) and SDG 12 (responsible consumption and production). They showed that while the pandemic provides an opportunity for governments to strengthen their commitments, it raised questions about the ambitious efforts to deliver the SDGs by 2030. They recommended that African governments need to maximise intraAfrican trade with investments in agricultural biotechnological infrastructure to close the gap between the targets and the realities. More specifically, they discussed advances in modern biotechnology where the current focus is on genetic engineering or modification. They argue that in the area of plant biotechnology, crops have been modified to survive climatic issues such as drought or frost; to remain fresh for a longer period thereby obviating postharvest wastages; to resist insects and diseases; to tolerate herbicides, allowing farmers to spray weed killers on fields without damaging crops, and enhance their nutritional qualities. For the economic dimension of growth and development as well as policies, the study by Lerner etal.(2021) explored the issue of unfair trade practices by investigating the drivers of the differences between farmgate and freeonboard (FOB) prices in the most important Arabica coffeeproducing countries worldwide: Brazil, Guatemala, Colombia, Honduras, Peru and Ethiopia. The study examined the literature on governance in agrifood chains, with a focus on each country's domestic market. The findings showed that heterogeneity in infrastructure and institutions are key explanatory factors; i.e., (i) the better protection of property rights, (ii) the better access to electricity and (iii) the better quality of roads, the lower the difference between farmgate and FOB prices, i.e., the lower the inefficiencies, the fairer the prices paid to coffee farmers. They further indicated that these differences lead to the introduction of intermediaries in the coffee supply chain, and the generation of transaction costs, which reduces the margin that coffee farmers receive generally. Thus, actions aimed at reducing these inefficiencies (reducing transaction costs), which include enhancing the quality of infrastructure and those aimed at lowering the need for intermediation, are needed to bring more transparency and lower transaction costs, thereby contributing to SDG 1 (no poverty), SDG 9 (industry, innovation and infrastructure) and SDG 16 (peace, justice and strong institutions). Penca etal.(2021) analysed the fish market in the Mediterranean region to map the drivers and feedback loops that keep fisheries in an unsustainable trajectory as well as review the key innovations in support of the sustainable smallscale fishing sector. They sought to understand how the biodiversity of fisheries can be sustained and how the negative effects of the current market structure on the livelihood of smallscale fishers can be mitigated. On the issue of addressing the negative effects of the existing market structures on smallscale fishers, they discussed various governance interventions including the shortening of the value chain, innovation in the distribution channel, diversification in the type of product offered, promotion and education regarding smallscale fisheries products, label and brand development and the empowerment of smallscale fisheries communities through improved leadership, ownership, cooperation and coordination. Since better access to markets creates more opportunities for innovation, enhancing infrastructure, enabling the functioning of communities and product development, these discussions are the focus of SDG 9 (industry, innovation and infrastructure), SDG 11 (sustainable cities and communities) and SDG 14 (life below water). The papers of Penca etal.(2021) and Corrado etal.(2020) both had environmental dimensions related to biodiversity as well as emissions and pollution. Penca etal.(2021) indicated that the drivers and feedback loop to keep fisheries in an unsustainable trajectory are directly affecting the attainment of SDG 14 (life below water). Corrado etal.(2020) compared the environmental performance between imports and domestic activities— imports are a key contributor to resource depletion, human toxicity, ocean acidification and freshwater ecotoxicity. The missed opportunities in agrifood trade that could positively impact the SDGs would be environmental provisions in regional trade agreements (RTAs) that are effective in deterring damage to the ecosystem because of trade liberalisation, for example, limiting deforestation. Abman etal.(2024) found that the inclusion of specific provisions aimed at protecting forests and/or biodiversity almost entirely offsets the net increases in forest loss observed in similar RTAs without such provisions, especially for tropical, developing countries with greater biodiversity. Due to trade liberalisation that can spur environmental degradation, the inclusion of these environmental provisions limits agricultural expansion, hence reducing deforestation that can help to achieve SDG 15 (life on land). However, enforcement of environmental provisions often depends on the political will of the signatory countries and may lack robust monitoring mechanisms. Furthermore, current environmental provisions are often broad and may rely on the commitment of partner countries to implement specific measures. The EU's new regulation (EU Deforestation Regulation— EUDR) to curb EU markets' impact on global deforestation and forest degradation can help in enforcing the environmental provisions in RTAs. The EUDR requires companies trading in cattle, cocoa, coffee, oil palm, rubber, soya and wood to conduct extensive due diligence on the value chain to ensure the goods do not result from recent deforestation, forest degradation or breaches of local environmental and social laws. The EUDR includes strict penalties for noncompliance, thus enhancing the accountability of companies operating within EU markets (European Commission2024). This would assist the enforcement of environmental provisions as well as monitoring mechanisms in RTAs such as the Economic Partnership Agreements between the EU and the African, Caribbean and Pacific (ACP) countries. However, the obligations of the EUDR are postponed for 1 year due to major implementation and technical issues: EU member states, nonEU countries, traders and operators raised concerns that they would not be able to fully comply with the rules if applied at the end of 2024 (European Council2024). For example, companies will have to purchase from large producers that can afford the means to prove the ‘due diligence’ on the supply of deforestationfree commodities, therefore bypassing small producers and hindering an objective of the EUDR, which is protecting local communities. Furthermore, the European Commission needed more time to conduct benchmarking and classification of countries into ‘low risk’, ‘standard risk’ and ‘high risk’ on deforestation along with a wellfunctioning electronic system to register the ‘due diligence’ information (Jones 966 Journal of International Development, 2025 Appendix A Journal Articles Included From the ‘Systematic Search’. 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