PRICE DISCOVERY MECHANISMS AND ALTERNATIVES FOR CANADIAN AGRICULTURE; Part I: A Review of Pricing Mechanisms in Agriculture

The purpose of this section is to review pricing mechanisms in agriculture and food. We started by constructing a taxonomy and system of classification for pricing mechanisms that is rooted in economic theory. This framework was applied to 26 pricing mechanisms observed from the following product categories: · Beef · Hogs · Grains and oilseeds · Dairy · Poultry and Eggs · Processed Food and HorticultureDemand and Price Analysis,

Risk management in agriculture

This monograph was written to be part of the series of studies commissioned by the Ministry of Agriculture under the rubric of "State of Indian Farmer - A Millennium Study". On the basis of existing literature, this study documents the status of our knowledge on risks of agriculture and their management. Chapter 2 discusses the evidence on the nature, type and magnitude of agricultural risks. Chapter 3 discusses farmer strategies to combat risk. In addition to the mechanisms at the level of the farm household, the need to cope with risk can also affect community interactions and social customs. This is examined in Chapter 4. In chapter 5, we consider how production risks have been transformed by developments in the agricultural economy in the post-independence period. In chapter 6, we review the principal developments that have impacted on market risks.

Online Algorithms for Geographical Load Balancing

It has recently been proposed that Internet energy costs, both monetary and environmental, can be reduced by exploiting temporal variations and shifting processing to data centers located in regions where energy currently has low cost. Lightly loaded data centers can then turn off surplus servers. This paper studies online algorithms for determining the number of servers to leave on in each data center, and then uses these algorithms to study the environmental potential of geographical load balancing (GLB). A commonly suggested algorithm for this setting is “receding horizon control” (RHC), which computes the provisioning for the current time by optimizing over a window of predicted future loads. We show that RHC performs well in a homogeneous setting, in which all servers can serve all jobs equally well; however, we also prove that differences in propagation delays, servers, and electricity prices can cause RHC perform badly, So, we introduce variants of RHC that are guaranteed to perform as well in the face of such heterogeneity. These algorithms are then used to study the feasibility of powering a continent-wide set of data centers mostly by renewable sources, and to understand what portfolio of renewable energy is most effective

Allocation of New Zealand Units within Agriculture in the New Zealand Emissions Trading System

When agricultural emissions are included in the New Zealand Emission Trading System (ETS) the economics of farming will be significantly altered. Under the legislation current in October 2009, in the early years of the system the agricultural sector as a whole would have received NZ units equivalent to 90% of 2005 emissions to ease the transition. Amendments to the Bill passed in November have delayed the start date from 2013 to 2015 and extended the protection even further. This paper addresses one of the key issues for making an agricultural emissions trading system a success: how to use the allocation of NZ units to achieve equitable and acceptable cost sharing and a smoother transition. We first discuss the potential motivations for free allocation and the two extreme potential allocation options that could be associated with the two key motivations. The option finally chosen is likely to be somewhere between these two extremes. Empirical studies can inform assessment of options. Previous empirical studies have addressed a variety of questions, including what the economic impact of the system is and on whom, how much leakage is there likely to be, and what might be the adjustment costs. We discuss each of these, comparing different existing studies and addressing some current gaps in our understanding and knowledge with new empirical work on farm level impacts and on likely responses to the ETS. We conclude by laying out some key options for allocation design and drawing links between these and the empirical material.New Zealand, emission trading, agriculture, free allocation, trade exposure

Future Agribusiness Challenges: Strategic Uncertainty, Innovation and Structural Change

The IFAMR is published by the International Food and Agribusiness Management Association.(IFAMA) www.ifama.orgStrategic uncertainty, innovation, structural change, Agribusiness, Research and Development/Tech Change/Emerging Technologies, Risk and Uncertainty, ISSN #: 1559-2448,

Towards Autonomic Service Provisioning Systems

This paper discusses our experience in building SPIRE, an autonomic system for service provision. The architecture consists of a set of hosted Web Services subject to QoS constraints, and a certain number of servers used to run session-based traffic. Customers pay for having their jobs run, but require in turn certain quality guarantees: there are different SLAs specifying charges for running jobs and penalties for failing to meet promised performance metrics. The system is driven by an utility function, aiming at optimizing the average earned revenue per unit time. Demand and performance statistics are collected, while traffic parameters are estimated in order to make dynamic decisions concerning server allocation and admission control. Different utility functions are introduced and a number of experiments aiming at testing their performance are discussed. Results show that revenues can be dramatically improved by imposing suitable conditions for accepting incoming traffic; the proposed system performs well under different traffic settings, and it successfully adapts to changes in the operating environment.Comment: 11 pages, 9 Figures, http://www.wipo.int/pctdb/en/wo.jsp?WO=201002636