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Conventional approaches for assessing supply chain vulnerability do not capture endogenous disruptions emanating from chain actors' decisions that might increase value chain vulnerability. These approaches adopt a reactive analytical explanation of vulnerability, rather than one that considers issues of feedback effects. To address this issue, this paper adopts a system dynamics modelling approach to identify the precursors of vulnerabilities in Ghana's cocoa value chain. The paper assesses the vulnerability levels of the cocoa value chain by adjusting the baseline values of several key parameters that can be influenced by chain actors. Results of the sensitivity analyses indicate that the precursors of vulnerability situated upstream of the cocoa value chain have varying impacts on chain vulnerability, but the same magnitude of effect on the vulnerability levels of chain actors. However, precursors of vulnerability that are situated midstream of the cocoa value chain have an unequal magnitude of effect on the vulnerability levels of chain actors. Results suggest that policies governing cocoa trading can become countervailing factors that obstruct the government's call for upgrading along the cocoa value chain. The system dynamics model presented here enables a proactive assessment of vulnerability which can facilitate collaborative planning among stakeholders in the value chain. [ABSTRACT FROM AUTHOR]

Recent research has highlighted the valuable contributions that participatory processes contribute in developing system dynamics models of value chains with stakeholders. A new participatory process known as spatial group model building (SGMB) expands these insights, using maps and GIS concepts to improve the facilitation and modelling process. This practical note provides an overview of SGMB, its recent applications in informing development interventions, and proposed innovations to expand its use and dissemination. [ABSTRACT FROM AUTHOR]

Using market access to achieve developmental aims has long been held as a key tenet of global development policy. Using a case study approach based on interviews along and across the beef value chain between Namibia, Botswana, and Norway, this article addresses the question of whether market access to high-value markets for livestock products has developmental benefits. The costs and benefits of using market access for beef products as a developmental policy tool are identified and the key role played by international meat traders in both upgrading and rent capture discussed. [ABSTRACT FROM AUTHOR]

Certification programs have been employed in many agricultural products as a means to encourage and communicate compliance with standards associated with various attributes, such as organic, fair-trade, GMO free, and eco-friendly, among others. Such programs further seek to provide added value, through a price premium, to producers and supply chain actors associated with the label. In this paper, we review a number of global labeling and certification programs that could add value for coffee farms in India through the promotion of conservation and environmental protection. We provide results from a survey conducted on a sample of coffee farms in Coorg district, India, to assess their awareness and perceptions related toward certified coffee and environmental conservation in general. Survey results illustrate strong positive associations with the environment by coffee planters, particularly among certified and organic producers. However, price premiums for certified and organic coffee are relatively small. While the potential of conservation-oriented certification for coffee in Coorg could be relatively limited outside of a few individual-level niches, branding Coorg more generally as a conservation-oriented region could hold promise, leveraging and personalizing the uniqueness of the natural offerings from Coorg and tapping into burgeoning associations with place and region in India. [ABSTRACT FROM PUBLISHER]

This study investigates factors influencing both the use of conservation agriculture (CA) and the intensity of its uptake amongst 237 smallholders sampled in the Masvingo district of Zimbabwe. The intensity of uptake was measured using an index that accounted for the number of CA components used, their relative importance, and the rate and extent of their application. Previous studies ignore some or all of these important aspects of uptake. The determinants of use and intensity were identified using a double hurdle model. Although most smallholders applied the reduced tillage or crop rotation components of CA, few combined these practices with mulching. Farm size and experience with CA technology impacted positively on the current use of CA, while distance from town (market) and ownership of an ox-drawn plough reduced the intensity of its uptake. Sensitivity analysis showed that these results change when partial measures of CA uptake are used, emphasising the importance of establishing a comprehensive measure of intensity. Policy implications include a need for institutional change to improve smallholder access to cropland, more participatory approaches to agricultural extension, and more convenient access to farm inputs. [ABSTRACT FROM PUBLISHER]

The use of system dynamics tools can add valuable insights when identifying and evaluating priorities for pro-poor value chain upgrading. However, to better understand the complex systems in agricultural value chains and to develop useful models, a participatory modelling process is important. This article highlights the group model building process of the dairy value chain in Matiguás, Nicaragua, one of a few examples of participatory model building in developing countries. The results confirm several benefits with participatory system dynamics modelling, including team learning, a greater understanding of the value of modelling, and a tool for decision-making and priority setting. [ABSTRACT FROM AUTHOR]

Various methodologies have been used to model the epidemiology and economics of aquatic diseases, including input-output models, benefit-cost analysis, linear programming, compartment models based on differential equations, and spatial models. Despite the virtues of each of these models, there is a need to develop a more integrated approach to the epidemiology and economics of disease that better represents and captures existing feedback mechanisms that can influence the success of disease control interventions and their cost-effectiveness. In this paper, we motivate the use of system dynamics (SD) modeling in the context of sea lice control in Norwegian farmed salmon. Separate models of sea lice and salmon growth were designed and integrated to capture the feedbacks between them. Different simulation scenarios highlight the benefits of the approach. Model results indicated that changing the timing and type of treatment vis-à-vis current practices can markedly reduce sea lice infection pressures; such simulated practices are also more cost effective. Our approach further highlights how delays and feedbacks present in these systems influence the success of any disease control protocol, and demonstrates the utility that SD models can play in aquatic health. [ABSTRACT FROM AUTHOR]