What Makes Agricultural Intensification Profitable for Mozambican Smallholders? An Appraisal of the Inputs Subsector and the 1996/97 DNER/SG2000 Program

This report summarizes an appraisal of input utilization and marketing in Mozambique, focusing on the following research questions: (1) What are current smallholder yields for major commodities, and what is the potential for increasing yields through the use of improved technologies? (2) To what extent are improved technologies already being used by smallholders, and is the use of improved technologies profitable? (3) How are improved seeds, fertilizer and pesticides currently produced and distributed? and (4) What are the key constraints and opportunities for increasing the use of improved technologies by smallholders?food security, food policy, improved technologies, Farm Management, Downloads July 2008-July 2009: 9, O31,

Trading out of Poverty: WTO Agreements and the West African Agriculture. A Report of the Food Security II Cooperative Agreement

This report is a brief survey of WTO agreements and their implications for the West African economies (including Chad). The study reviews the positions of West African countries on various WTO issues and compares these positions with positions expressed by major trade partners, particularly the Cairns Group, the European Union, Japan, Sub-Sahara Africa, and the United States.food security, food policy, world trade organization, poverty, West Africa, international trade, market access, Food Security and Poverty, International Relations/Trade, Downloads July 2008-July 2009: 29, F0,

Effects of Cash Crop Production on Food Crop Productivity in Zimbabwe: Synergies or Trade-offs?

This paper studies the dynamics between cash cropping and food crop productivity in Gokwe North District in Zimbabwe, a major cotton producing area. The main research issues were: (1) to identify the determinants of commercialized crop production at the household level; and (2) to determine the effect of increasing crop commercialization on household food productivity. The paper derives a household crop commercialization index, defined as the ratio of crop sales to total crop production. Econometric models were developed for identifying the determinants of household-level commercialization and for measuring its effects on food crop productivity.food security, food policy, cash crop production, food crop productivity, Zimbabwe, Crop Production/Industries, Productivity Analysis, Downloads June 2008 - July 2009: 62, Q18,

GLOBALISATION, CONCENTRATION OF GENETIC MATERIAL AND THEIR IMPLICATIONS FOR SUSTAINABLE DEVELOPMENT

This paper examines impacts, both positive and negative, of globalisation on the selection of a limited gene pool in livestock and agricultural production. This concentration has increased yields at high rates. It is associated with modern forms of production that are an integral part of a globalised economic system. Such strategies, at least in the short run, reduce production costs and cater for the demands of an increasing population and the needs of modern societies. As will be demonstrated, the ascribed economic benefits of such forms of production also lead to the promotion of such production by donor agencies and are linked to overseas aid, in some instances. On the other hand, specialised systems of production are not without their drawbacks. Such systems of production make many breeds (eg. ‘all-round’ breeds) obsolete for commercial use. This often leads to their gradual extinction because of the low economic values placed on them. When concentration of production relies on a few breeds it inevitably leads to several lock-in dimensions in the use of some production inputs. The lock-in aspects of this form of production, processes involved in the disappearance of breeds and their implications for sustainable development are amongst the issues discussed in this paper.

How logistics contribute to the complexity of global agri-food supply chains and thus to potential food safety risks

Die Globalisierung des Agrarhandels führt zu komplexen Lieferketten, was weitreichende Folgen für die Lebensmittelsicherheit haben kann. Entsprechende internationale Vorkommnisse stellen die zuständigen Behörden vor die Herausforderung, Risiken sachgemäß zu managen und zu bewerten. Bei der Analyse von aufgetretenen Problemfällen wurden erhebliche Wissenslücken hinsichtlich der Rolle der Logistik aufgedeckt. Um das Forschungsgebiet der globalen Warenströme abzubilden, wurde anhand einer qualitativen Textanalyse multidisziplinärer Literatur - angelehnt an den Grounded Theory-Ansatz - ein konzeptioneller Bezugsrahmen am Beispiel von Agrarrohstoffen entwickelt. Dieser diente als Grundlage für eine Fallstudie zur empirischen Untersuchung der potentiellen Kontamination von Agrarrohstoffen mit Mykotoxinen. Hierzu wurden Experteninterviews mit 24 Akteuren aus den Bereichen Logistik, Handel, Beschaffung und Richtlinien und Standards durchgeführt. Wir haben verschiedene Ebenen der wichtigsten Konzepte innerhalb (z.B. Logistikprozesse und Hauptakteure) und außerhalb (z.B. Globale Driver) der Warenströme von Agrarrohstoffen bestimmt. Mit Hilfe der Fallstudie konnten wir zudem kritische Dimensionen (z.B. Maßnahmen zur Lebensmittelsicherheit, menschlicher Faktor, Hafenmerkmale) und entsprechende kritische Faktoren für die Lebensmittelsicherheit und ihre Wechselbeziehungen identifizieren. Die Studie zeigt die Notwendigkeit integrativer und nachhaltiger Lösungen, wie die Zusammenarbeit zwischen Wirtschaftsakteuren, als auch mit Behörden, sowie politische Anreize, um z.B. mehr Transparenz und Sorgfalt im Qualitätsmanagement als auch Investitionen in neue Technologien (z. B. Blockchain) im Logistiksektor zu erreichen. Die gewonnenen Erkenntnisse sollten in bestehende und neue Instrumente, die zur Klärung internationaler Lebensmittelsicherheitsvorfälle oder in der Risikofrüherkennung eingesetzt werden und entsprechend der Dynamik des Sektors auf EU- und internationaler Ebene ständig aktualisiert und erweitert werden.The globalization of agricultural trade leads to complex supply chains, which can have far-reaching consequences for food safety. International food safety incidents are challenging competent authorities to assess and manage food safety risks appropriately. Analysis of respective occurrences revealed substantial knowledge gaps regarding the role of logistics. To map the research area of global commodity flows, a conceptual framework - using agricultural commodities as an example - was developed based on qualitative text analysis of multidisciplinary literature, inspired by the Grounded Theory approach. This served as the foundation for a case study to empirically investigate the potential contamination of agricultural commodities with mycotoxins. For such purpose, expert interviews were conducted with 24 stakeholders from logistics, trade, procurement, and regulations and standards. We identified different levels of key concepts within (e.g., logistics processes and key actors) and outside (e.g., global drivers) the commodity flows of agricultural commodities. The case study further allowed us to identify critical dimensions (e.g., food safety measures, human factor, port characteristics) and corresponding critical factors for food safety and their interrelationships. The study demonstrates the need for integrative and sustainable solutions, such as collaboration between economic actors, as well as with authorities, policy incentives, for example to achieve more transparency and diligence in quality management, as well as more investments in new technologies (e.g. blockchain) in the logistics sector. The knowledge gained calls to be integrated into existing and new tools used to verify and assess international food safety incidents or in early risk detection, and should constantly be updated and expanded according to the unfolding dynamics of the sector at EU and international levels

“Robin Hook”: The developmental effects of Somali piracy

Copyright @ 2011 Brunel UniversityNaval counter-piracy measures off Somalia have failed to change the incentives for pirates, raising calls for land-based approaches that may involve replacing piracy as a source of income. This paper evaluates the effects of piracy on the Somali economy to establish which (domestic) groups benefit from ransom monies. Given the paucity of economic data on Somalia, we evaluate province-level market data, nightlight emissions and high resolution satellite imagery. We show that significant amounts of ransom monies are spent within Somalia. The impacts appear to be spread widely, benefiting the working poor and pastoralists and offsetting the food price shock of 2008 in the pirate provinces. Pirates appear to invest their money principally in the main cities of Garowe and Bosasso rather than in the backward coastal communities

BUSINESS SYSTEMS FOR INCREASED COMPETITIVENESS IN THE AGRIBUSINESS SECTOR OF SOUTH AFRICA

Agribusiness,

The Post-Buyout Experience: Peanut and Tobacco Sectors Adapt to Policy Reform

Marketing quota and price support programs for peanuts and tobacco were a longstanding feature of U.S. farm policy, from the 1930s until the Government enacted quota buyouts, in 2002 for peanuts and 2004 for tobacco. Quota owners were compensated with temporary payments, but elimination of the quota programs exposed producers more to market risks and brought about structural changes at farm, regional, and marketwide levels. Since the buyouts, many peanut and tobacco farms have exited production. The farms that remain are mostly larger and have adopted new risk management strategies, such as contracting. Freed of the planting restrictions in the quota programs, production of peanuts, and to a lesser extent of tobacco, has been relocated to regions better suited to their growth. While total acreage and prices for peanuts and tobacco have remained below pre-buyout levels, the lower prices—along with increased production efficiency— have supported renewed growth in demand, particularly in export markets.Policy reform, farm policy, buyouts, marketing quotas, peanuts, tobacco, adjustment, structural change, Agricultural and Food Policy, Industrial Organization, Institutional and Behavioral Economics, Marketing,

"Robin Hook": The Developmental Effects of Somali Piracy

Naval counter-piracy measures off Somalia have failed to change the incentives for pirates, raising calls for land-based approaches that may involve replacing piracy as a source of income. This paper evaluates the effects of piracy on the Somali economy to establish which (domestic) groups benefit from ransom monies. Given the paucity of economic data on Somalia, we evaluate province-level market data, nightlight emissions and high resolution satellite imagery. We show that significant amounts of ransom monies are spent within Somalia. The impacts appear to be spread widely, benefiting the working poor and pastoralists and offsetting the food price shock of 2008 in the pirate provinces. Pirates appear to invest their money principally in the main cities of Garowe and Bosasso rather than in the backward coastal communities.Somalia, piracy, cash transfers, economic development, remote sensing, satellite imaging

Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction

Over the past decades, the Least Squares Support Vector Machines (LSSVM) has been widely utilized in prediction task of various application domains. Nevertheless, existing literature showed that the capability of LSSVM is highly dependent on the value of its hyper-parameters, namely regularization parameter and kernel parameter, where this would greatly affect the generalization of LSSVM in prediction task. This study proposed a hybrid algorithm, based on Artificial Bee Colony (ABC) and LSSVM, that consists of three algorithms; ABC-LSSVM, lvABC-LSSVM and cmABC-LSSVM. The lvABC algorithm is introduced to overcome the local optima problem by enriching the searching behaviour using Levy mutation. On the other hand, the cmABC algorithm that incorporates conventional mutation addresses the over- fitting or under-fitting problem. The combination of lvABC and cmABC algorithm, which is later introduced as Enhanced Artificial Bee Colony–Least Squares Support Vector Machine (eABC-LSSVM), is realized in prediction of non renewable natural resources commodity price. Upon the completion of data collection and data pre processing, the eABC-LSSVM algorithm is designed and developed. The predictability of eABC-LSSVM is measured based on five statistical metrics which include Mean Absolute Percentage Error (MAPE), prediction accuracy, symmetric MAPE (sMAPE), Root Mean Square Percentage Error (RMSPE) and Theils’ U. Results showed that the eABC-LSSVM possess lower prediction error rate as compared to eight hybridization models of LSSVM and Evolutionary Computation (EC) algorithms. In addition, the proposed algorithm is compared to single prediction techniques, namely, Support Vector Machines (SVM) and Back Propagation Neural Network (BPNN). In general, the eABC-LSSVM produced more than 90% prediction accuracy. This indicates that the proposed eABC-LSSVM is capable of solving optimization problem, specifically in the prediction task. The eABC-LSSVM is hoped to be useful to investors and commodities traders in planning their investment and projecting their profit