919 resultados para Agrarian reform. Public policy. Settlements. Rural extension. Environment.


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This paper provides an overview of the key findings of a survey that sought to examine the relationship between local government agencies and agrarian reform communities in the State of São Paulo, particularly with regard to the types of support that have been provided by these agencies to the economic activities of settlements. The research was part of the project "The agencies and services involved in the implementation of public policies for equity and growth", which was supported by the Instituto de Colonização e Reforma Agraria (INCRA/SP), whose activities were carried out throughout 2011. In methodological terms, the research was divided into two stages. In the first stage, it sought to identify the main economic activities, vocations and potential of the influencing areas of the Quilombola communities and settlements in their respective regions and micro-regions. Therefore, a survey was conducted based on secondary data. In the second stage, a qualitative, exploratory, empirical, and multiple case study research was conducted. Local public officials, in charge of the institutional relations with the agrarian reform settlements (and quilombolas communities, in this case, one of the municipalities investigated) were the primary source of data for this analysis that sought to evaluate the strength, types and quality of support (plausible or effective) provided by the municipalities to the economic activities of settlements. The results indicated a set of reasonably heterogeneous components, and frequently, distinct, of particular circumstances. Based on the results some proposals for action plans were indicated, which probably would constitute a standard reference for the formulation and implementation of public policies and actions to improve the economic activities of the settlements.

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Prior models of the policy process have examined how human characteristics can affect policy decision-making in such a way that it leads to aggregate effects on policy outcomes as a whole. I develop a model of the policy process which suggests that emotions related to fair and unfair experiences in the same policy domain are utilized by decision-makers as policy criteria. In the lab, I empirically tested this, and find that emotions and experience related to fairness do influence the policy decision to move away from the status quo alternative. Based upon this result, I simulated the evolution of a society of agents engaged in decision-making using similar criteria. The simulation suggests that incentives have an important role in leading to cooperation and social success. The external validity of the simulation also implies that it can act as a platform for future evolutionary policy experimentation.

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Suburban wildlife management issues are generating heated debate between citizen organizations, elected public officials, and state wildlife management agencies. Decisions are being made by town and county officials which directly impact or supersede state authority for managing resident wildlife. As an example, I will focus this discussion on the white-tailed deer (Odocoileus virginianus), management controversy at Durand Eastman Park, in the greater Rochester metropolitan area, New York.

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The presented study carried out an analysis on rural landscape changes. In particular the study focuses on the understanding of driving forces acting on the rural built environment using a statistical spatial model implemented through GIS techniques. It is well known that the study of landscape changes is essential for a conscious decision making in land planning. From a bibliography review results a general lack of studies dealing with the modeling of rural built environment and hence a theoretical modelling approach for such purpose is needed. The advancement in technology and modernity in building construction and agriculture have gradually changed the rural built environment. In addition, the phenomenon of urbanization of a determined the construction of new volumes that occurred beside abandoned or derelict rural buildings. Consequently there are two types of transformation dynamics affecting mainly the rural built environment that can be observed: the conversion of rural buildings and the increasing of building numbers. It is the specific aim of the presented study to propose a methodology for the development of a spatial model that allows the identification of driving forces that acted on the behaviours of the building allocation. In fact one of the most concerning dynamic nowadays is related to an irrational expansion of buildings sprawl across landscape. The proposed methodology is composed by some conceptual steps that cover different aspects related to the development of a spatial model: the selection of a response variable that better describe the phenomenon under study, the identification of possible driving forces, the sampling methodology concerning the collection of data, the most suitable algorithm to be adopted in relation to statistical theory and method used, the calibration process and evaluation of the model. A different combination of factors in various parts of the territory generated favourable or less favourable conditions for the building allocation and the existence of buildings represents the evidence of such optimum. Conversely the absence of buildings expresses a combination of agents which is not suitable for building allocation. Presence or absence of buildings can be adopted as indicators of such driving conditions, since they represent the expression of the action of driving forces in the land suitability sorting process. The existence of correlation between site selection and hypothetical driving forces, evaluated by means of modeling techniques, provides an evidence of which driving forces are involved in the allocation dynamic and an insight on their level of influence into the process. GIS software by means of spatial analysis tools allows to associate the concept of presence and absence with point futures generating a point process. Presence or absence of buildings at some site locations represent the expression of these driving factors interaction. In case of presences, points represent locations of real existing buildings, conversely absences represent locations were buildings are not existent and so they are generated by a stochastic mechanism. Possible driving forces are selected and the existence of a causal relationship with building allocations is assessed through a spatial model. The adoption of empirical statistical models provides a mechanism for the explanatory variable analysis and for the identification of key driving variables behind the site selection process for new building allocation. The model developed by following the methodology is applied to a case study to test the validity of the methodology. In particular the study area for the testing of the methodology is represented by the New District of Imola characterized by a prevailing agricultural production vocation and were transformation dynamic intensively occurred. The development of the model involved the identification of predictive variables (related to geomorphologic, socio-economic, structural and infrastructural systems of landscape) capable of representing the driving forces responsible for landscape changes.. The calibration of the model is carried out referring to spatial data regarding the periurban and rural area of the study area within the 1975-2005 time period by means of Generalised linear model. The resulting output from the model fit is continuous grid surface where cells assume values ranged from 0 to 1 of probability of building occurrences along the rural and periurban area of the study area. Hence the response variable assesses the changes in the rural built environment occurred in such time interval and is correlated to the selected explanatory variables by means of a generalized linear model using logistic regression. Comparing the probability map obtained from the model to the actual rural building distribution in 2005, the interpretation capability of the model can be evaluated. The proposed model can be also applied to the interpretation of trends which occurred in other study areas, and also referring to different time intervals, depending on the availability of data. The use of suitable data in terms of time, information, and spatial resolution and the costs related to data acquisition, pre-processing, and survey are among the most critical aspects of model implementation. Future in-depth studies can focus on using the proposed model to predict short/medium-range future scenarios for the rural built environment distribution in the study area. In order to predict future scenarios it is necessary to assume that the driving forces do not change and that their levels of influence within the model are not far from those assessed for the time interval used for the calibration.

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This publication offers concrete suggestions for implementing an integrative and learning-oriented approach to agricultural extension with the goal of fostering sustainable development. It targets governmental and non-governmental organisations, development agencies, and extension staff working in the field of rural development. The book looks into the conditions and trends that influence extension today, and outlines new challenges and necessary adaptations. It offers a basic reflection on the goals, the criteria for success and the form of a state-of-the-art approach to extension. The core of the book consists of a presentation of Learning for Sustainability (LforS), an example of an integrative, learning-oriented approach that is based on three crucial elements: stakeholder dialogue, knowledge management, and organizational development. Awareness raising and capacity building, social mobilization, and monitoring & evaluation are additional building blocks. The structure and organisation of the LforS approach as well as a selection of appropriate methods and tools are presented. The authors also address key aspects of developing and managing a learning-oriented extension approach. The book illustrates how LforS can be implemented by presenting two case studies, one from Madagascar and one from Mongolia. It addresses conceptual questions and at the same time it is practice-oriented. In contrast to other extension approaches, LforS does not limit its focus to production-related aspects and the development of value chains: it also addresses livelihood issues in a broad sense. With its focus on learning processes LforS seeks to create a better understanding of the links between different spheres and different levels of decision-making; it also seeks to foster integration of the different actors’ perspectives.

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Recent federal legislation has provided renewed interest in improving the quality of nursing home care. The lack of both funding and personnel are significant barriers that may keep psychology's disciplinary expertise from being fully used in nursing homes. Nursing homes may be forced to undertake mandated activities (e.g., preadmission screening, nurses aides' training, and evaluation) without psychologists' expertise, relying either on medical practitioners with little knowledge of mental health interventions or on minimally qualified, entry-level mental health workers. Advocates for improved nursing home care must see the links among basic disciplinary skills, interdisciplinary collaboration, and improved care for mentally impaired elderly individuals.

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This crucial volume significantly advances the study of policy feedbacks. With contributions from many subfields and methodological approaches, it offers both sophisticated theorizing and new empirical examples that show how policies make politics in a variety of ways. Innovative research designs provide more convincing inference than ever. And the normative questions engaged about welfare performance, evaluation, participation, and accountability could not be more important or timely in this era of austerity and discord over the future of welfare states.’

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The contemporary intellectual property rights (IPR) system is not a simple, smoothly working block of rules but is complex and full of ambiguities, and as many argue, imperfections. Some deficits relate on the one hand to the inherent centrality of authorship, originality and mercantilism to the ‘Western’ IP model, which leaves numerous non-Western, collaborative or folkloric modes of production outside the scope of protection. On the other hand, some imperfections stem from the way IPR are granted, whereby creators acquire a temporary monopoly over their works and thus exclude the public from having access to them. In this sense, it is often uncertain whether the existent IPR model appropriately reflects the precarious balance between private and public interests, and whether the best incentives to promote creativity and innovation - the initially stated objectives of intellectual property protection - are offered. The matter becomes still more complicated when one considers that the IPR system is not domestically contained but is globalised and strongly affected by rules at the regional and international levels. The question of whether the balance between private interests and public values is sustained within the international legal framework, epitomised by the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) of the World Trade Organization (WTO), is precisely the topic of the book reviewed here. Review of Intellectual Property, Public Policy, and International Trade, edited by Inge Govaere and Hanns Ullrich, P.I.E. Peter Lang, 2007.