Rice Variety Choice and Subsidy Effects on Market Share

The United States has been losing market share because the unintended consequences of policy decisions have influenced what rice to grow, rather than taking the signal directly from buyers. U.S. share of Mexican rice imports has fallen from 100% in 2002 to 67% in 2021 as better perceived-quality product is purchased from other international origins. During this same time, hybrid rice acres have gone from 0% to over 70%. This research develops a theoretical model to evaluate subsidy effects on market-share performance when support for quality rice improvements is considered. Empirical analysis using Granger Causality suggests that planting hybrid rice is the primary factor causing the loss of market share, which significantly reduces competitiveness and decreases industry returns for the overall U.S. rice industry. The implications for farm policy are vast, with the potential suboptimal behavior occurring. A discount for poor quality and subsidy targeting improvements for quality are encouraged

The Performability Manager

The authors describe the performability manager, a distributed system component that contributes to a more effective and efficient use of system components and prevents quality of service (QoS) degradation. The performability manager dynamically reconfigures distributed systems whenever needed, to recover from failures and to permit the system to evolve over time and include new functionality. Large systems require dynamic reconfiguration to support dynamic change without shutting down the complete system. A distributed system monitor is needed to verify QoS. Monitoring a distributed system is difficult because of synchronization problems and minor differences in clock speeds. The authors describe the functionality and the operation of the performability manager (both informally and formally). Throughout the paper they illustrate the approach by an example distributed application: an ANSAware-based number translation service (NTS), from the intelligent networks (IN) area

Farmers and farmers’ associations in developing countries and their use of modern financial instruments

This paper starts with an overview of the current literature on the cost of price risk exposure to developing country farmers. It then discusses market-based price risk management instruments (such as futures and options) that can be used by farmers, as well as various mechanisms through which farmers' associations can facilitate farmers' access to price risk management tools as well as lower-cost financing (using warehouse receipt finance, repos and other structured financings). The experiences with use of such modern financial tools by farmers in several developing countries (Brazil, Colombia, Guatemala, India, Malaysia, Mexico, Philippines, Uganda) are described. The report concludes with a discussion of the practicalities of farmers' associations starting to use such financial instruments, including the potential of new technologies such as smart cards.farmers structured finance warehouse receipts price risk management

A fiscal needs approach to equalization transfers in a decentralized federation

The author reviews the conceptual basis for fiscal equalization transfers, analyzes the theoretical implications for optimal design of equalization transfers, and suggests quantitative approaches for assessing the fiscal needs of subnational governments and determining their entitlement to transfers. The author illustrates proposed methods using data for local and provincial Canadian governments. The proposed methods could be useful tools, he says, for undertaking systematic objective reviews of aggregate and sectoral public spending in developing countries. The author argues that in a decentralized federation, fiscal inefficiencies and inequities arise because of subnational governments'differing levels of ability to provide comparable public services at comparable tax rates. Fiscal equalization transfers that reduce or eliminate differentials in net fiscal benefits create a rare instance in economics when considerations of equity and efficiency coincide. These transfers must allow for differences in the spending needs and revenues-raising abilities of the various subnational governments. The author argues for a two-tiered approach to equalization. The first tier would be a federal responsibility to equalize the burden of federal taxes. The second tier would be an interprovincial equalization fund to be administered by the Council of Provincial Finance Ministers. It would entail a comprehensive equalization system that takes into account provincial spending needs. The standard of equalization would be negotiated.Public Sector Economics&Finance,Banks&Banking Reform,Municipal Financial Management,National Governance,Environmental Economics&Policies

Value Chain-Induced Constraints Limiting Scale of Conservation Agriculture in South Africa

The potential of scaling conservation agriculture (CA), for long-term food security, remains under-investigated within the context of agricultural food value chains in South Africa. To scale the use of CA an understanding of the current agricultural value chains, their functioning, regulatory framework and constraints, is essential and this raises a key question: What are the main shortfalls and deterrents in agricultural value chains and why might CA be faced with challenges to feed into these existing structures, through which it could, the hopes are, create a more inclusive and sustainable farming system for long-term food security? The empirical data from an ethnographic qualitative participant research showed that interviewed value chain participants (VCP) are limited in acting on account of their economic constraints. None of them had products that supported CA, while financial institutions argued that such products would not be necessary, as any risk mitigating farming system would, in any event, result in financial benefits to the farmer

Meta-scheduling Issues in Interoperable HPCs, Grids and Clouds

Over the last years, interoperability among resources has been emerged as one of the most challenging research topics. However, the commonality of the complexity of the architectures (e.g., heterogeneity) and the targets that each computational paradigm including HPC, grids and clouds aims to achieve (e.g., flexibility) remain the same. This is to efficiently orchestrate resources in a distributed computing fashion by bridging the gap among local and remote participants. Initially, this is closely related with the scheduling concept which is one of the most important issues for designing a cooperative resource management system, especially in large scale settings such as in grids and clouds. Within this context, meta-scheduling offers additional functionalities in the area of interoperable resource management, this is because of its great agility to handle sudden variations and dynamic situations in user demands. Accordingly, the case of inter-infrastructures, including InterCloud, entitle that the decentralised meta-scheduling scheme overcome issues like consolidated administration management, bottleneck and local information exposition. In this work, we detail the fundamental issues for developing an effective interoperable meta-scheduler for e-infrastructures in general and InterCloud in particular. Finally, we describe a simulation and experimental configuration based on real grid workload traces to demonstrate the interoperable setting as well as provide experimental results as part of a strategic plan for integrating future meta-schedulers

Modeling Big Data based Systems through Ontological Trading

One of the great challenges the information society faces is dealing with the huge amount of information generated and handled daily on the Internet. Today, progress in Big Data proposals attempt to solve this problem, but there are certain limitations to information search and retrieval due basically to the large volumes handled, the heterogeneity of the information and its dispersion among a multitude of sources. In this article, a formal framework is defined to facilitate the design and development of an Environmental Management Information System which works with an heterogeneous and large amount of data. Nevertheless, this framework can be applied to other information systems that work with Big Data, since it does not depend on the type of data and can be utilized in other domains. The framework is based on an Ontological Web-Trading Model (OntoTrader) which follows Model-Driven Engineering and Ontology-Driven Engineering guidelines to separate the system architecture from its implementation. The proposal is accompanied by a case study, SOLERES-KRS, an Environmental Knowledge Representation System designed and developed using Software Agents and Multi-Agent Systems

The emergence of markets in the natural gas industry

As countries have deregulated prices and lowered entry barriers in the natural gas industry, many new participants have emerged, promoting competition in the newly created markets. The increased competition has benefited everyone through more efficient pricing and greater choice among natural gas contracts. Four distinctstructural models have emerged in the industry's restructuring. The traditional model (a vertically integrated industry) has been increasingly replaced by models that decentralize the industry along horizontal and vertical lines. With increasing decentralization, regulation of the industry focuses on the pipeline transportation and distribution, the industry segments with natural monopoly characteristics. Regulation aims to protect both end users and participants in the deregulated segments from the market power of companies operating in the monopolistic segments. As a result of deregulation, two major markets emerge: the natural gas market (which facilitates the trading of natural gas as a commodity) and the transportation market (which enables market participants to trade the services needed to ship natural gas through pipelines). Competition and open entry are crucial for these two markets to function efficiently. The transportation market is affected by the market power of pipeline companies, but resale of transportation contracts brings competition to this market and facilitates the efficient allocation of contracts. Intermediaries and spot markets promote efficient pricing and minimize transaction costs. Markets have become more complex with deregulation, and trading mechanisms are needed to ensure the simultaneous clearing of natural gas and transportation markets at minimum cost to the industry. Two main trading models guide transactions: the bilateral trading model (which relies on decentralized bilateral negotiated between market participants) and the poolco model (which relies on a centralized entity to coordinate transactions). Properly applied, both models lead to the same outcome. The bilateral trading model has dominated because of its simplicity of implementation, but the poolco model has great potential once problems of sharing and processing information are addressed.Environmental Economics&Policies,Water and Industry,Economic Theory&Research,Markets and Market Access,Oil&Gas,Water and Industry,Oil Refining&Gas Industry,Markets and Market Access,Access to Markets,Oil&Gas

Agglomerative Magnets and Informal Regulatory Networks: Electricity Market Design Convergence in the USA and Continental Europe

The absence of one broadly accepted design template for liberalised electricity markets induces regulatory competition and institutional diversity. Focussing on continental Europe and the USA, this analysis explores how agents and structures accelerate or impede the move to one standard market design in the electricity sector. It reveals that market design convergence in Europe is driven by the 'Florence Consensus,' a tripartite coalition between the European Commission fostering European integration and the internal market, informal regulatory networks between grid operators, standardisation authorities and regulators, who have been coordinating their actions in the 'Florence Forum,' and epistemic communities exemplified in the Florence School of Regulation. In contrast, the United States' Federal Energy Regulatory Commission lacks support among politicians, many states' public utility commissions, the neo-liberal intelligentsia and even industrial lobbying groups to effectively push for a standardised market design. However, design convergence in the USA may be induced by the gradual expansion of multi-state markets operated by regional transmission organisations.Electricity, Deregulation, Regulatory Competition, Policy Diffusion

What’s behind the ag-data logo? An examination of voluntary agricultural-data codes of practice

In this article, we analyse agricultural data (ag-data) codes of practice. After the introduction, Part II examines the emergence of ag-data codes of practice and provides two case studies—the American Farm Bureau’s Privacy and Security Principles for Farm Data and New Zealand’s Farm Data Code of Practice—that illustrate that the ultimate aims of ag-data codes of practice are inextricably linked to consent, disclosure, transparency and, ultimately, the building of trust. Part III highlights the commonalities and challenges of ag-data codes of practice. In Part IV several concluding observations are made. Most notably, while ag-data codes of practice may help change practices and convert complex details about ag-data contracts into something tangible, understandable and useable, it is important for agricultural industries to not hastily or uncritically accept or adopt ag-data codes of practice. There needs to be clear objectives, and a clear direction in which stakeholders want to take ag-data practices. In other words, stakeholders need to be sure about what they are trying, and able, to achieve with ag-data codes of practice. Ag-data codes of practice need credible administration, accreditation and monitoring. There also needs to be a way of reviewing and evaluating the codes in a more meaningful way than simple metrics such as the number of members: for example, we need to know something about whether the codes raise awareness and education around data practices, and, perhaps most importantly, whether they encourage changes in attitudes and behaviours around the access to and use of ag-data