4,473 research outputs found

    The telecoupled sustainability impacts of global agricultural value chains:Assessing the cross-scale sustainability impacts of the cocoa sector

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    Agriculture is a major contributor to the global environmental crisis. Natural ecosystems are being replaced by agricultural land, which leads to the extinction of species and the release of tons of carbon emissions. Global agricultural value chains (GVCs) have grown due to the intensification of international trade. While GVCs have undeniably created economic opportunities for the agriculture sector, they have also led to the escalation of local environmental issues. Several initiatives have been implemented to reduce the negative impacts of agriculture, including government regulations, sustainability certification labels, and voluntary sustainability commitments. However, the effectiveness of these initiatives has been questioned due to several reasons, including the mismatches between the scale of the problem and the solution, the lack of monitoring and verification of sustainability actions, and their weak enforcement. Sustainability initiatives are informed by studies assessing the impacts of agriculture that often only focus on local impacts, while disregarding larger-scale – telecoupled– dynamics that can trigger impacts across geographic and temporal scales. This thesis aims to help bridge these knowledge gaps by examining the impacts of agricultural GVCs across scales, studying the role of GVC’s configuration in modulating these impacts and investigating the role of GVC actors in mitigating sustainability risks across scales. The global cocoa value chain is used as a case study. Chapter 2 examines various impact assessment methods and their ability to capture the effects caused by telecoupled dynamics across different scales. The study concludes that no single method is sufficient to capture all telecoupled cross-scale dynamics and that the integration of different methods is necessary to bridge gaps between methods and complement their scope. Chapter 3 implements the recommendations outlined in Chapter 2 by analyzing the impacts caused by cocoa agroforestry and cocoa full-sun production in Ghana. Impacts on carbon, biodiversity stocks, and environmental pollution were analyzed within and beyond the farm-level. This chapter reveals that findings drawn from farm-level assessments can contradict those from landscape-level assessments. Decision-makers focused should be wary of extrapolating farm-level assessment results to larger scales. Chapter 4 expands the scope to the global scale by examining the role of the cocoa GVC configuration on the capacity of the sector to address sustainability challenges across scales. The chapter identifies different types of cocoa traders, their market dominance, and sustainability commitments. The chapter highlights that to address the telecoupled impacts of the cocoa GVC, coordinated action between traders is required, along with government interventions to balance power asymmetries. Chapter 5 measured the degree to which cocoa traders, as identified in Chapter 4, are exposed to deforestation and climate change. This chapter highlights that sustainability challenges in agricultural value chains cannot be resolved in isolation as farming systems are constantly interacting with other farming systems and land competing sectors. To avoid displacing negative impacts across scales, it is necessary to have a coordinated and collaborative effort from stakeholders and sectors involved in making decisions related to land use. This thesis shows that addressing the telecoupled impacts caused by agricultural value chains needs a good understanding of the cause-effect dynamics at play. This requires the quantification of impacts caused by agriculture across scales and the characterization of the GVC network of actors modulating these impacts. Interdisciplinary methods need to be leveraged and integrated to generate actionable insights. The findings of this thesis can assist decision-makers and private actors in devising customized sustainability strategies, prioritizing action, and addressing the most vulnerable hotspots while being mindful of global teleconnections and avoiding spillovers

    Assessing the effectiveness of zero-deforestation commitments

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    Contracting arrangements in agribusiness procurement practices in South Africa

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    Contracting arrangements in agribusiness procurement practices in South AfricaProcurement, contracting, agro-processing,

    Finance for Small-Scale Commodity Processing: From Micro to Meso Finance - Summary of presentations and discussions

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    The main focus of the Workshop was on sustainable financial services for the first stages of commodity processing to support small-scale producers to move up the value-added chain and increase their efficiency and earnings in commodity production. In this regard, the Workshop carried out an assessment of investment opportunities and financing needs at the producer level. It further considered whether there is a lack of financial services in the middle-range or meso-credit category around USD 3,000 and above for rural commodity processing. The Workshop addressed the following topics: - Micro and meso-credit requirements of commodity producers and processors - Mechanisms currently employed by financial institutions, non-bank financial institutions, regional agricultural credit associations and donors in micro and meso-credit to the commodity sector and their experience in this area - Measures and options that would alleviate identified problems - The role of the Common Fund for Commodities and other financial and development institutions in this sector. --

    Contract Farming in Developing Countries: An overview

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    This paper presents a review of the literature on contract farming (CF), focusing on recent empirical research on the economic impact of CF. The paper starts with an explanation of the phenomenon of CF, providing definitions, typologies, models and objectives. Using a Transaction Costs Economics framework, the paper explains for which products and market CF seems most suitable. The empirical literature on CF is assessed by answering three questions: Why do smallholders engage in CF? Are smallholders included in or excluded from CF arrangements? What impact does CF have on smallholder income and rural development? Finally, the paper identifies the conditions under which smallholders are most likely to benefit from CF schemes

    Can S-LCA methodology support responsible sourcing of raw materials in EU policy context?

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    Purpose: Access, affordability and sustainability of raw material supply chains are crucial to the sustainable development of the European Union (EU) for both society and economy. The study investigates whether and how the social life cycle assessment (S-LCA) methodology can support responsible sourcing of raw materials in Europe. The potential of social indicators already available in an S-LCA database is tested for the development of new metrics to monitor social risks in raw material industries at EU policy level. Methods: The Product Social Impact Life Cycle Assessment (PSILCA) database was identified as a data and indicators source to assess social risks in raw material industries in EU-28 and extra-EU countries. Six raw material country sectors in the scope of the European policy on raw materials were identified and aggregated among those available in PSILCA. The selection of indicators for the assessment was based on the RACER (Relevance, Acceptance, Credibility, Ease, Robustness) analysis, leading to the proposal of 9 social impact categories. An S-LCA of the selected raw material industries was, thus, performed for the EU-28 region, followed by a contribution analysis to detect direct and indirect impacts and investigate related supply chains. Finally, the social performance of raw material sectors in EU-28 was compared with that of six extra-EU countries. Results and discussion: Considering the overall social risks in raw material industries, “Corruption”, “Fair salary”, “Health and safety” and “Freedom of association and collective bargaining” emerged as the most significant categories both in EU and extra-EU. EU-28 shows an above-average performance where the only exception is represented by the mining and quarrying sector. An investigation of the most contributing processes to social impact categories for EU-28 led to the identification of important risks originating in the supply chain and in extra-EU areas. Therefore, the S-LCA methodology confirmed the potential of a life cycle perspective to detect burdens shifting and trade-offs. However, only a limited view on the sectoral social performance could be obtained from the research due to a lack of social data. Conclusions: The S-LCA methodology and indicators appear appropriate to perform an initial social sustainability screening, thus enabling the identification of hotspots in raw material supply chains and the prioritization of areas of action in EU policies. Further methodological developments in the S-LCA field are necessary to make the approach proposed in the paper fully adequate to support EU policies on raw materials

    OPTIMIZATION OF STAPLE PRODUCTS USING THE SUPPLY CHAIN OPERATION REFERENCE (SCOR) TO CUSTOMER SATISFACTION IN CENTRAL JAVA

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    The role of the Supply Chain affects the value of domestic products that arise in an area is not the same as the income received by residents of the area. It can be seen that the staple products sector dominates 61.55% of the distribution of products in Central Java. So, this is an important factor in measuring the Supply Operations Chain that occurs in these commodities. The high costs incurred in this sector encourage us to continue to improve our operational performance to reduce costs as low as possible. The condition is what the public/consumers want so that the gap between production costs and distribution costs of existing products is not too far away. This study aims to measure consumer satisfaction with the Supply Chain in the area and optimize the Supply Chain model that can be done to improve operational processes in the upstream (supplier) and downstream (distribution channels) of the Supply Chain in Central Java. The data analysis method used is the Supply Chain Operation Reference (SCOR). This model serves to weigh the importance of measuring customer satisfaction with the Supply Chain in the area, and efforts to improve operational performance can be made by minimizing failure in the process so that delivery to consumers is on time. The results of the SCOR model show that Asset, Agility, and Cost are variables that must be improved in the logistics process in Central Java.
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