929 resultados para Centre for Economic Development, Transport and the Environment


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Editorial remarks.-- Open discussion: Integrating economics, legislation and administration in water and water services management ; Water and Free Trade Agreements ; Provision of transport infraestructure.-- News of the network: WALIR ; Prevention and reduction of the Danger Posed by natural disasters ; Ministry of Water in Bolivia ; Water management council of the Paute Basin in Ecuador ; CRSS.-- Internet and WWW news

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The 2030 Agenda for Sustainable Development, adopted by the 193 Member States of the United Nations at the General Assembly in September 2015, outlines a transformative vision for economic, social and environmental development and will guide the work of the Organization towards this vision for the next 15 years. This new road map presents a historic opportunity for Latin America and the Caribbean, since it addresses some of the region’s most urgent priorities, such as reducing inequality in all its dimensions, promoting inclusive economic growth with decent work for all, creating sustainable cities and addressing climate change. The 17 Sustainable Development Goals (SDGs) associated with the Agenda help the region’s countries to gauge the starting point from which they set out towards this new, collective vision of sustainable development set forth in the 2030 Agenda and to analyse and craft the means of its implementation. The SDGs also represent a planning tool for the countries at the national and local levels. With their long-term approach, they offer support for each country on its path towards sustained, inclusive and environmentally friendly development, through the formulation of public policies and budget, monitoring and evaluation instruments. The 2030 Agenda is a civilizing agenda that places dignity and equality at the centre. At once far-sighted and ambitious, its implementation will require the engagement of all sectors of society and of the State. Accordingly, the representatives of governments, civil society, academic institutions and the private sector are invited to take ownership of this ambitious agenda, to discuss and embrace it as a tool for the creation of inclusive, fair societies that serve the citizens of today as well as future generations.

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Resolution 697(XXXVI) Horizons 2030 resolution .-- Resolution 698(XXXVI) ECLAC calendar of conferences for the period 2017-2018 .-- Resolution 699(XXXVI) Regional Conference on Women in Latin America and the Caribbean .-- Resolution 700(XXXVI) Mexico resolution on the establishment of the Forum of the Countries of Latin America and the Caribbean on Sustainable Development .-- Resolution 701(XXXVI) Support for the work of the Latin American and Caribbean Institute for Economic and Social Planning (ILPES) .-- Resolution 702(XXXVI) Statistical Conference of the Americas of the Economic Commission for Latin America and the Caribbean .-- Resolution 703(XXXVI) Regional Conference on Social Development in Latin America and the Caribbean .-- Resolution 704(XXXVI) Programme of work and priorities of the Economic Commission for Latin America and the Caribbean for the biennium 2018-2019 .-- Resolution 705(XXXVI) Caribbean Development and Cooperation Committee .-- Resolution 706(XXXVI) Application of Principle 10 of the Rio Declaration on Environment and Development in Latin America and the Caribbean .-- Resolution 707(XXXVI) Regional Conference on Population and Development in Latin America and the Caribbean .-- Resolution 708(XXXVI) Ministerial Conference on the Information Society in Latin America and the Caribbean .-- Resolution 709(XXXVI) Committee on South-South Cooperation .-- Resolution 710(XXXVI) Conference on Science, Innovation and Information and Communications Technologies of the Economic Commission for Latin America and The Caribbean .-- Resolution 711(XXXVI) Implementation of the Vienna Programme of Action for Landlocked Developing Countries for the Decade 2014-2024 .-- Resolution 712(XXXVI) Regional integration of statistical and geospatial information .-- Resolution 713(XXXVI) Regional follow-up to the outcomes of conferences on financing for development .-- Resolution 714(XXXVI) Place of the next session.

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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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Canine and human atopic dermatitis are multifaceted diseases whose clinical development may be influenced by several factors, such as genetic background, environment, secondary infections, food and psychological effects. The role of the environment has been extensively examined in humans but remains unclear in dogs. The aim of this study was to examine environmental factors in two genetically close breeds, Labrador and golden retrievers. Using standard criteria, atopic dogs in Switzerland and Germany were selected and compared with healthy individuals. Information on environmental factors was collected using a 46-question survey encompassing date and place of birth, way of life at the breeder's and owner's home, food and treatments. Univariate and multivariate logistic regression were used to assess the association between potential risk factors and disease status. The following parameters were associated with an increased risk of disease development: living in a shed during puppyhood, adoption at the age of 8-12 weeks and washing the dog regularly. In contrast, the following factors were associated with a lower risk: living in a rural environment, living in a household with other animals and walking in a forest. These associations do not prove causality but support the primary hypothesis that certain environmental factors may influence the development of canine atopic dermatitis. Further studies are warranted to confirm these results and conclusions.

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Debates over the merits of competing schemes for ranking metropolitan areas as hightech centers shed little light on the important policy questions that should be the core of economic development policy. There are no strong theoretical reasons for preferring one ranking system to others. Rankings often conflate different industries and ignore history, obscuring the varied and often idiosyncratic processes that drive growth in different regions. Although an occupational perspective is a useful one for examining economic activity, it is a supplement to, not a replacement for, a careful understanding of metropolitan industrial specialization. Practitioners should not put too much weight on any ranking system but instead should work to develop detailed knowledge of their region’s special economic niche and to develop relationships and strategies that build on established strengths.

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This paper focuses on two regions in the United States that have emerged as high-technology regions in the absence of major research universities. The case of Portland's Silicon Forest is compared to Washington, DC. In both regions, high-technology economies grew because of industrial restructuring processes. The paper argues that in both regions other actors—such as firms and government laboratories—spurred the development of knowledge-based economies and catalysed the engagement of higher education institutions in economic development. The paper confirms and advances the triple helix model of university–government–industry relationships and posits that future studies have to examine degrees of university-region engagement.

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The literature on trade openness, economic development, and the environment is largely inconclusive about the environmental consequences of trade. This study review previous studies focusing on treating trade and income as endogenous and estimating the overall impact of trade openness on environmental quality using the instrumental variables technique. The results show that whether or not trade has a beneficial effect on the environment varies depending on the pollutant and the country. Trade is found to benefit the environment in OECD countries. It has detrimental effects, however, on sulfur dioxide (SO2) and carbon dioxide (CO2) emissions in non-OECD countries, although it does lower biochemical oxygen demand (BOD) emissions in these countries. The results also find the impact is large in the long term, after the dynamic adjustment process, although it is small in the short term.

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Analysis of the "European Charter on General Principles for Protection of the Environment and Sustainable Development" The Council of Europe Document CO-DBP (2003) 2

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This paper reviews the transport and economic development trends for the last 20 years in Spain at a detailed (province or NUTS3) level. As Spain has sustained a significant transport investment effort in this period, with the support of EU funding, this review offers an excellent perspective to put some further light on how the transport-and-regional-development paradigm has shaped decision-making in the transport sector. The paper reviews changes in gross domestic product (GDP), population and motorway endowment for the 47 provinces in mainland Spain. Regional development trends seem to be closely associated to particular local conditions, not clearly associated to transport (motorway) infrastructure endowment. This is consistent with the fact that transport infrastructure has not generally been a critical bottleneck for trade and economic activity during this period. The paper concludes that, in general terms, transport infrastructure investment does not seem to be clearly associated to the otherwise substantial differences in regional development among Spanish mainland provinces during this period.