Identifying obstacles to the design and implementation of payment schemes for ecosystem services provided through farm trees

An important determinant of ecosystem services provision from European farmland is the amount and spatial arrangement of trees, shrubs, and woodlands that are integrated into the respective land use systems. Farm trees are considered ‘keystone structures’ of agroecosystems because of their disproportionally large ecological value (relative to their low abundance), but are threatened by agricultural intensification, land abandonment, and urbanization. While the preservation of farm trees is a component of several command-and control approaches and while numerous payment schemes for ecosystem services (PES schemes) provided through agricultural practices do in general exist, there are few incentive-based policies that specifically target the conservation of farm trees. This paper uses an institutional economics framework for the analysis of PES schemes that enhance the establishment, protection, and management of farm trees. Using the German state of Saxony as a case, it elaborates on the reasons for the very reluctant participation of farmers in these schemes. The obstacles identified include high production and opportunity costs, contractual uncertainties, and land tenure implications. Further, since scheme adoption has been low compared with the total area covered by the respective farm tree types, the PES schemes alone cannot explain the substantial increase in number and size of some farm-tree types. Options to improve participation comprise regionalised premiums, result-oriented remuneration, and cooperative approaches. The example of PES schemes for farm trees highlights one of the major challenges for the protection and preservation of cultural landscapes: they are man-made and thus need to be preserved, managed, and maintained continuously.Payments for ecosystem services (PES), agroecosystems, trees outside forests, institutional economics, East Germany, Saxony, Resource /Energy Economics and Policy,

Community based forest management systems in developing countries and eligibility for clean development mechanism

Concerns have been raised among the scientific communities about the increased atmospheric concentration of carbon dioxide (CO2). Carbon sequestration rates can be maintained or increased by afforestation, reforestation, avoided deforestation, forest preservation and particular tending and cultural operations on existing forests. Of these, afforestation and reforestation are the only eligible project activities under the Clean Development Mechanism (CDM). Of the three market-based mechanisms of the Kyoto Protocol (KP), CDM is the only one designed for developing countries where, coincidently, community based forest management systems (CBFMS) are becoming the main form of forest management. Under these systems, enhanced natural regeneration, forest preservation and wise utilization through different sets of cultural and tending operations are widely practiced in Africa, Asia and Latin America. These systems are often more compatible with the essence of the Convention on Biological Diversity (CBD) than are alternative management systems. Using Nepal as a case study, this paper highlights the importance of community forests in developing countries and then explains why many of them may not be eligible for CDM project activities. After that, some reasons why enhanced natural regeneration and forest preservation activities should be considered under the CDM project activities will be discussed. If community forests contribute to achieving the main objectives of CDM program as well as providing biodiversity benefits, and if they are the only socially acceptable and economically viable option, then they should be eligible under the CDM project activities. In particular, the CDM forest definition (>10% crown cover) should not be a barrier to their eligibility

Towards a theory of information systems outsourcing risk

Information systems outsourcing risks are a vital component in the decision and management process associated to the provision of information systems and technology services by a provider to a customer. Although there is a rich literature on information systems outsourcing risks, the accumulated knowledge on this area is fragmented. In view of this situation, an argument is put forward on the usefulness of having a theory that integrates the various constructs related to information systems outsourcing risks. This study aims to contribute towards the synthesis of that theory, by proposing a conceptual scheme for interpreting the literature and presenting a preliminary version of a catalog of information systems outsourcing risks. Proposals for subsequent work towards the generation of the theory of information systems outsourcing risk are suggested

A catalog of information systems outsourcing risks

Information systems outsourcing risks are a vital component in the decision and management process associated to the provision of information systems and technology services by a provider to a customer. Although there is a rich literature on information systems outsourcing risks, the accumulated knowledge on this area is fragmented. In view of this situation, an argument is put forward on the usefulness of having a theory that integrates the various constructs related to information systems outsourcing risks. This study aims to contribute towards the synthesis of that theory, by proposing a conceptual framework for interpreting the literature and presenting a catalog of information systems outsourcing risks. The conceptual framework articulates together six key risk elements, namely dangers, negative outcomes, undesirable consequences, factors and mitigation actions. The catalog condenses and categorizes the information systems outsourcing risk elements found on the literature reviewed, both from the perspective of the outsourcing customer and from the perspective of the outsourcing provider. Proposals for subsequent work towards the generation of the theory of information systems outsourcing risk are suggested

Thinking inside the box: why the World Bank is not learning

An analysis of how the World Bank has maintained a position supportive of multinational strategies for privatisation of water

Using Eco-schemes in the new CAP: a guide for managing authorities

This guide has been developed primarily for policy makers and Member State officials involved in the national and regional programming processes of the CAP Strategic Plans (CSPs). This process might involve different administrative levels (national, regional, local), different political fields (agriculture, environmental, food and health ministries), different public bodies (paying agencies, environmental agencies, rural development offices) depending on the administrative setting of each MS. In addition, the guide provides support to other stakeholders and practitioners from the public and private sectors and civil society (including agricultural, environmental, food, health and consumer NGOs), with a direct or indirect involvement in the programming and evaluation process of the CSPs. Since these new plans will have a strong impact on MS environments, agricultural sectors, rural areas, etc., the engagement of all stakeholders will be an important asset for supporting an effective implementation of the CSP objectives. There are many others with potential interests in the contents of this guide. EU citizens have demonstrated their increasing interest in the contents of the CAP objectives and policy framework, as demonstrated both by civil society initiatives and consumption decisions. The contents of this guide may therefore also be of interest to other societal actors with interests in agricultural and environmental policies, such as researchers, journalists, trade unions, and civil society organizations. However, the guide is intentionally more focused on the technical needs of those involved in CSP development and implementation

RISKS IN DEVELOPMENT OF VERY LARGE DATA SETS ORIENTED APPLICATIONS

Very large data sets are defined. The features of the online operation with large data sets are described. A risk classification and analysis is made in working with large data sets oriented software. Experimental results are presented.large data sets, risk, online operation