Poverty transition through targeted programme: the case of Bangladesh Poultry Model

Poverty transition through a capacity development programme called the Bangladesh Poultry Model is assessed using self-assessment dimension in a quasi experiment framework. Current poverty situation is compared with money metric measure. The programme involves longer term intervention towards building the strength of stakeholders such as government department, NGOs, village organisations and women beneficiaries. A number of key questions related to poverty transition through poultry based activities, heterogeneity in livelihood choice and its impact on household welfare, extent of poverty reduction etc. are answered for policy recommendations. Data are drawn from a survey of 400 beneficiary households in 2006; about 50% of them are survivors in the programme. Poverty profiles, transition matrices and regression analysis using asset-base framework are used to analyse data. Results are discussed along with recommendations and policy implications. Adaptation of the programme in several countries is also reviewed briefly using published information to discuss wider implications.Bangladesh, Poultry, Poverty, Asset-base Framework, O3, Q16,

Evaluating the evidence base: Policies and interventions to address socioeconomic status gradients in health a

This chapter discusses the current evidence base for policies that could address socioeconomic status (SES) health gradients in the United States. The present volume has documented an enormous amount of research on the linkages between SES and health, but there are still relatively few studies that rigorously establish the effectiveness of particular policies or interventions in reducing those gradients. Given the difficulty in developing randomized evidence for many types of interventions related to social determinants of health, we argue for conducting policy analysis from a Bayesian perspective. This Bayesian approach combines information on best available theory and evidence regarding probable health benefits and costs of an intervention, providing a framework that also incorporates the probable costs of inaction. The second half of the chapter adopts a ladder metaphor to classify policies and interventions that could reduce SES gradients in population health. Using this framework, we consider the evidence base for various types of policies, focusing primarily on the social determinants of health, under the rubric that “all policy is health policy.” We conclude by discussing promising strategies for future strengthening of the evidence base for policy, including the role of health impact assessment.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/78585/1/j.1749-6632.2009.05386.x.pd

KBE frameworks and their applicability to a resource-based country: The case of Brunei Darussalam

Knowledge is generally considered to be one of the most important drivers of economic growth. The difference between a knowledge-based economy (KBE) and a resource-based one is that in the former, the main competition between individuals, firms, and countries is the ability to innovate. Other forms of competition, for example through pricing strategies and access to resources, become secondary. Generally, knowledge is information combined with technology that dramatically increases its impact when shared. Organizations such as the Organization for Economic Cooperation and Development (OECD), Asia Pacific Economic Cooperation Forum (APEC), Australian Bureau of Statistics (ABS) and the World Bank Institute (WBI) have developed different KBE frameworks to indicate the extent of countries' knowledge base and implicitly to guide policy. But these frameworks have little in theoretical underpinnings and applying them universally across all countries in different regions, at different stages of development and with different institutional, social and economic characteristics may be misleading and result in inappropriate policy responses. In this paper we propose a framework that clearly distinguishes input-output indicators of a knowledge-based economy under four important dimensions: knowledge acquisition, knowledge production, knowledge distribution and knowledge utilization, and attempt to adapt them in a practical policy oriented approach for an economy like Brunei Darussalam, which is attempting to transform from a resource-based to a knowledge-based economy

Mapping and assessment of ecosystems and their services. Urban ecosystems

Action 5 of the EU Biodiversity Strategy to 2020 requires member states to Map and Assess the state of Ecosystems and their Services (MAES). This report provides guidance for mapping and assessment of urban ecosystems. The MAES urban pilot is a collaboration between the European Commission, the European Environment Agency, volunteering Member States and cities, and stakeholders. Its ultimate goal is to deliver a knowledge base for policy and management of urban ecosystems by analysing urban green infrastructure, condition of urban ecosystems and ecosystem services. This report presents guidance for mapping urban ecosystems and includes an indicator framework to assess the condition of urban ecosystems and urban ecosystem services. The scientific framework of mapping and assessment is designed to support in particular urban planning policy and policy on green infrastructure at urban, metropolitan and regional scales. The results are based on the following different sources of information: a literature survey of 54 scientific articles, an online-survey (on urban ecosystems, related policies and planning instruments and with participation of 42 cities), ten case studies (Portugal: Cascais, Oeiras, Lisbon; Italy: Padua, Trento, Rome; The Netherlands: Utrecht; Poland: Poznań; Spain: Barcelona; Norway: Oslo), and a two-day expert workshop. The case studies constituted the core of the MAES urban pilot. They provided real examples and applications of how mapping and assessment can be organized to support policy; on top, they provided the necessary expertise to select a set of final indicators for condition and ecosystem services. Urban ecosystems or cities are defined here as socio-ecological systems which are composed of green infrastructure and built infrastructure. Urban green infrastructure (GI) is understood in this report as the multi-functional network of urban green spaces situated within the boundary of the urban ecosystem. Urban green spaces are the structural components of urban GI. This study has shown that there is a large scope for urban ecosystem assessments. Firstly, urban policies increasingly use urban green infrastructure and nature-based solutions in their planning process. Secondly, an increasing amount of data at multiple spatial scales is becoming available to support these policies, to provide a baseline, and to compare or benchmark cities with respect to the extent and management of the urban ecosystem. Concrete examples are given on how to delineate urban ecosystems, how to choose an appropriate spatial scale, and how to map urban ecosystems based on a combination of national or European datasets (including Urban Atlas) and locally collected information (e.g., location of trees). Also examples of typologies for urban green spaces are presented. This report presents an indicator framework which is composed of indicators to assess for urban ecosystem condition and for urban ecosystem services. These are the result of a rigorous selection process and ensure consistent mapping and assessment across Europe. The MAES urban pilot will continue with work on the interface between research and policy. The framework presented in this report needs to be tested and validated across Europe, e.g. on its applicability at city scale, on how far the methodology for measuring ecosystem condition and ecosystem service delivery in urban areas can be used to assess urban green infrastructure and nature-based solutions

The Changing Face of Central Banking in the 1990s

During the 1990s, central banks in the industrialized countries made important changes in the way they operate. As part of these initiatives, central banks have endeavoured to define a set of best practices, learning from each other in the process. The goal was to improve and adapt the frameworks within which monetary policy is implemented. Clarifying Objectives A clear objective is a necessary starting point for any policy framework. The growing consensus that price stability is the most appropriate objective for monetary policy was perhaps one of the most critical developments of the past decade. Price stability is now universally regarded as the key contribution that monetary policy can make to promote sustainable growth and maximize the level of employment. Central banks also need a clear strategy for achieving their objective. A major development of the past decade was the growing popularity of inflation targets as the numerical focus for monetary policy. Clearly defined inflation targets focus policy on the variable that is directly associated with price stability. The Bank of Canada was one of the first to adopt (in 1991) a set of targets for inflation over a specified time horizon. Accountability Many central banks have acquired greater independence and this, together with the public's desire for more information from key public institutions, has raised the standards for accountability. At the same time, explicit targets provide a clear measure against which to judge the performance of the monetary authorities. Increased accountability also has implications for the overall transparency of the monetary authorities. In sum, central banks have become much more open institutions and are placing greater emphasis on their communications activities. As an example, comprehensive inflation reports have become key communications vehicles for a number of central banks. Many of the changes implemented by central banks stem from the desire to improve the credibility of monetary policy, thus making it easier for monetary authorities to achieve their objectives. Although it is difficult to ascertain the overall effect of the evolving policy framework, it is encouraging that inflation and inflation expectations were at low levels at the end of the 1990s, thus providing a solid base for monetary policy in the future.