Uncertainty Reduction Literature Review On The World - amazonia.fiocruz.br

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Also, the environmental and social impacts of PSCs are undeniable due to the daily entrance of a large amount of pharmaceutical waste into the environment. In this study, a scenario-based Multi-Objective Mixed-Integer Linear Programming model is developed to design a sustainable CLPSC, which investigates the reverse flows of expired medicines as three classes must be disposed of, can be remanufactured and can be recycled. To study the competitive market and deal with demand uncertainty, a novel scenario-based game theory model is proposed. The demand function for each brand depends on the price and quality provided. Then, a hybrid solution approach is provided by combining the LP-metrics method with a heuristic algorithm. Furthermore, a real case study is investigated to evaluate the application of the model. Finally, sensitivity analysis and managerial insights are provided. Uncertainty Reduction Literature Review On The World

Uncertainty Reduction Literature Review On The World - excited

Kellogg Company and Unilever are calling on start-ups to help tackle some of the most critical issues facing the food and industry. Clara Foods is leveraging precision fermentation technology to develop animal-free egg proteins. Content provided by EIT Food. Transparency, traceability and transformation are vital to increase trust throughout our food system and to empower healthier and more sustainable food choices. And the company is placing an emphasis on three ingredients: cocoa, coffee and milk. Content provided by Rabobank. The agrifood industry is pushing the critical importance of using resources sustainably to secure our food system.

Introduction

More Literzture this item Keywords policy analysis ; CGE modeling ; portfolio management ; pro-poor growth ; All these keywords. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:cauapw:wp See general information about how to correct material in RePEc. For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics. If you have authored this item and are not yet registered with RePEc, we encourage you to do it here.

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Economic literature: papersarticlessoftwarechaptersbooks. FRED data. Parameter uncertainty in policy planning models: Using portfolio management methods to choose optimal policies under world market volatility.

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This paper suggests using portfolio management methods in policy planning models as a practical tool for determining optimal policy under model parameter uncertainty. We suggest that in addition to calculating the standard policy return estimates, policy options should also be analyzed from the risk perspective by using metrics that inform the effect of parameter uncertainty on policy impact variation. We demonstrate the approach in a Computable General Equilibrium model that analyzes pro-poor agricultural value chains in Senegal under world market uncertainty.

We show that prioritizing the rice sector is the most effective policy in terms of expected policy return, but this policy is also associated with the highest risk, leading to an increase in poverty under unfavorable yet realistic scenarios. Much like Uncertainty Reduction Literature Review On The World portfolios in finance, mixed policies that assume the rice sector's promotion combined with other sectors such as milk, vegetables, oilseeds, or fishery, can offer risk reduction at the cost of reduced expected policy return. Mukashov, Askar, Handle: RePEc:zbw:cauapw:wp as.

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