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3,860 result(s) for "Developing countries Economic policy Statistics"
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Data for Development Profiles
Sound and timely data and statistics are essential for designing better policies for better lives. When the right data are available and used by policy makers, they play a crucial role in managing crises, as revealed during the COVID-19 pandemic.
Data for Development Profiles
Sound and timely data and statistics are essential for designing better policies for better lives. When the right data are available and used by policy makers, they play a crucial role in managing crises, as revealed during the COVID-19 pandemic. They are also indispensable for transparent and accountable delivery of policies and services and to guide business and investment decisions in line with the Sustainable Development Goals (SDGs).The first 2021 edition of the OECD’s Data for Development Profiles is a unique source of information and insights on how members of the Development Co-operation Committee (DAC) allocate official development assistance (ODA) to statistical capacity development and strengthening data ecosystems in low and middle income countries. By providing a comprehensive overview of members’ data and statistical policy priorities, strategies, funding, delivery modalities and partnerships, the profiles serve as a baseline for co-ordinating international support and highlight ways forward for greater impact and effectiveness.
Data for Development Profiles Official Development Assistance for Data and Statistical Systems
Sound and timely data and statistics are essential for designing better policies for better lives. When the right data are available and used by policy makers, they play a crucial role in managing crises, as revealed during the COVID-19 pandemic.
Why Australia prospered
This book is the first comprehensive account of how Australia attained the world's highest living standards within a few decades of European settlement, and how the nation has sustained an enviable level of income to the present. Beginning with the Aboriginal economy at the end of the eighteenth century, Ian McLean argues that Australia's remarkable prosperity across nearly two centuries was reached and maintained by several shifting factors. These included imperial policies, favorable demographic characteristics, natural resource abundance, institutional adaptability and innovation, and growth-enhancing policy responses to major economic shocks, such as war, depression, and resource discoveries. Natural resource abundance in Australia played a prominent role in some periods and faded during others, but overall, and contrary to the conventional view of economists, it was a blessing rather than a curse. McLean shows that Australia's location was not a hindrance when the international economy was centered in the North Atlantic, and became a positive influence following Asia's modernization. Participation in the world trading system, when it flourished, brought significant benefits, and during the interwar period when it did not, Australia's protection of domestic manufacturing did not significantly stall growth. McLean also considers how the country's notorious origins as a convict settlement positively influenced early productivity levels, and how British imperial policies enhanced prosperity during the colonial period. He looks at Australia's recent resource-based prosperity in historical perspective, and reveals striking elements of continuity that have underpinned the evolution of the country's economy since the nineteenth century.
The Impact of Childcare on Poor Urban Women's Economic Empowerment in Africa
Despite evidence from other regions, researchers and policy-makers remain skeptical that women's disproportionate childcare responsibilities act as a significant barrier to women's economic empowerment in Africa. This randomized control trial study in an informal settlement in Nairobi, Kenya, demonstrates that limited access to affordable early childcare inhibits poor urban women's participation in paid work. Women who were offered vouchers for subsidized early childcare were, on average, 8.5 percentage points more likely to be employed than those who were not given vouchers. Most of these employment gains were realized by married mothers. Single mothers, in contrast, benefited by significantly reducing the time spent working without any loss to their earnings by shifting to jobs with more regular hours. The effects on other measures of women's economic empowerment were mixed. With the exception of children's health care, access to subsidized day care did not increase women's participation in other important household decisions. In addition, contrary to concerns that reducing the costs of childcare may elevate women's desire for more children, we find no effect on women's fertility intentions. These findings demonstrate that the impact of subsidized childcare differs by marital status and across outcomes. Nonetheless, in poor urban Africa, as elsewhere, failure to address women's childcare needs undermines efforts to promote women's economic empowerment.
Mental health system costs, resources and constraints in South Africa: a national survey
Abstract The inclusion of mental health in the Sustainable Development Goals represents a global commitment to include mental health among the highest health and development priorities for investment. Low- and middle-income countries (LMICs), such as South Africa, contemplating mental health system scale-up embedded into wider universal health coverage-related health system transformations, require detailed and locally derived estimates on existing mental health system resources and constraints. The absence of these data has limited scale-up efforts to address the burden of mental disorders in most LMICs. We conducted a national survey to quantify public expenditure on mental health and evaluate the constraints of the South African mental health system. The study found that South Africa’s public mental health expenditure in the 2016/17 financial year was USD615.3 million, representing 5.0% of the total public health budget (provincial range: 2.1–7.7% of provincial health budgets) and USD13.3 per capita uninsured. Inpatient care represented 86% of mental healthcare expenditure, with nearly half of total mental health spending occurring at the psychiatric hospital-level. Almost one-quarter of mental health inpatients are readmitted to hospital within 3 months of a previous discharge, costing the public health system an estimated USD112 million. Crude estimates indicate that only 0.89% and 7.35% of the uninsured population requiring care received some form of public inpatient and outpatient mental healthcare, during the study period. Further, mental health human resource availability, infrastructure and medication supply are significant constraints to the realization of the country’s progressive mental health legislation. For the first time, this study offers a nationally representative reflection of the state of mental health spending and elucidates inefficiencies and constraints emanating from existing mental health investments in South Africa. With this information at hand, the government now has a baseline for which a rational process to planning for system reforms can be initiated.
The roles of preventive and curative health care in economic development
Both the preventive and curative healthcare provisions accumulate agents' health stock and stimulate economies' productivities. However, with limited medical resources, increases in preventive health expenditure crowd out curative expenditure, and vice versa, which in turn impairs the population's health and deters economic growth. This research aims to provide a empirically rigorous test on the hypothesis that optimally allocating health expenditure between prevention and cures stimulates economic growth within different countries, especially developed countries, and investigates whether health services are luxury goods on the path of economic development. Based on OECD country experiences, this present study uses the system generalized method of moments (GMM) estimation method to examine the roles of preventive and curative healthcare services over the path of economic development and proves that preventive and curative health spending have non-linear effects on economic performance. For growth maximization, the optimal share of preventive health expenditure to GDP is 0.44% with per capita GDP at US$40,465; the real share is 0.25% with per capita GDP at US$35,230. The optimal share of curative health expenditure to GDP is 10.96% with per capita GDP at US$41,816; the real share is 8.26% with per capita GDP at US$35,230. Accordingly, the estimated optimal provision of health services are currently underprovided. This research further estimates the effects of income on demand for care and shows that the income elasticities of preventive and curative health care are greater than unity. Health services are luxury goods. Economies with higher incomes demand such services more than those with lower incomes. The large positive effects of income on preventive care use exist.
Global incidence of prostate cancer in developing and developed countries with changing age structures
To investigate the global incidence of prostate cancer with special attention to the changing age structures. Data regarding the cancer incidence and population statistics were retrieved from the International Agency for Research on Cancer in World Health Organization. Eight developing and developed jurisdictions in Asia and the Western countries were selected for global comparison. Time series were constructed based on the cancer incidence rates from 1988 to 2007. The incidence rate of the population aged ≥ 65 was adjusted by the increasing proportion of elderly population, and was defined as the \"aging-adjusted incidence rate\". Cancer incidence and population were then projected to 2030. The aging-adjusted incidence rates of prostate cancer in Asia (Hong Kong, Japan and China) and the developing Western countries (Costa Rica and Croatia) had increased progressively with time. In the developed Western countries (the United States, the United Kingdom and Sweden), we observed initial increases in the aging-adjusted incidence rates of prostate cancer, which then gradually plateaued and even decreased with time. Projections showed that the aging-adjusted incidence rates of prostate cancer in Asia and the developing Western countries were expected to increase in much larger extents than the developed Western countries.
Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: results from the WHO World Mental Health (WMH) surveys
The treatment gap between the number of people with mental disorders and the number treated represents a major public health challenge. We examine this gap by socio-economic status (SES; indicated by family income and respondent education) and service sector in a cross-national analysis of community epidemiological survey data. Data come from 16 753 respondents with 12-month DSM-IV disorders from community surveys in 25 countries in the WHO World Mental Health Survey Initiative. DSM-IV anxiety, mood, or substance disorders and treatment of these disorders were assessed with the WHO Composite International Diagnostic Interview (CIDI). Only 13.7% of 12-month DSM-IV/CIDI cases in lower-middle-income countries, 22.0% in upper-middle-income countries, and 36.8% in high-income countries received treatment. Highest-SES respondents were somewhat more likely to receive treatment, but this was true mostly for specialty mental health treatment, where the association was positive with education (highest treatment among respondents with the highest education and a weak association of education with treatment among other respondents) but non-monotonic with income (somewhat lower treatment rates among middle-income respondents and equivalent among those with high and low incomes). The modest, but nonetheless stronger, an association of education than income with treatment raises questions about a financial barriers interpretation of the inverse association of SES with treatment, although future within-country analyses that consider contextual factors might document other important specifications. While beyond the scope of this report, such an expanded analysis could have important implications for designing interventions aimed at increasing mental disorder treatment among socio-economically disadvantaged people.