723 research outputs found
Supply Response and Investment in Agriculture in Andhra Pradesh
The study explored the response of aggregate farm output, input use, and farm investment decisions to output and input prices, wages, technological change, public investments, and climatic factors using district-level panel data of over 39 years from Andhra Pradesh. It confirms the low, short-run aggregate output supply elasticity of Indian agriculture as found in the literature. It validates the hypothesis that the relationships between public investment, financial institutions, and farm investment of labor and capital in agriculture have not changed over the years. The empirical estimates of aggregate output supply elasticity with respect to output price (0.2), roads (0.2), markets (0.11), and net irrigated area (0.05) are higher than previous findings for selected states in India. Aggregate agricultural output responds positively to credit availability (represented by banks) and canal irrigation, each with an elasticity of 0.01. The wage elasticity (0.3) on aggregate output is higher than price elasticity (0.2),
indicating that the effects of rising wages outweigh the incentives offered by output price support.
Climatic factors (e.g., rainfall) significantly affect fertilizer use and aggregate output while deviation from normal rainfall adversely affects aggregate output. The study substantiates previous findings that public investment in infrastructure and financial institutions respond to the agriculture potential and agro-climatic endowments of an area. A renewed focus, therefore, is required for better targeting of public investments in areas that are relatively resource poor and have harsh agro-climatic conditions
for a more inclusive growth and rural poverty reduction
Supply Response and Investments in Agriculture in Andhra Pradesh
This study examines how farm output, farm inputs and farm
investment have responded to changes in prices of output,
factor prices (wages), technical change, and public investments
The acute-to-chronic workload ratio:An inaccurate scaling index for an unnecessary normalisation process?
BACKGROUND: Problematic use of alcohol and other drugs (AOD) is highly prevalent among people living with the human immunodeficiency virus (PLWH), and untreated AOD use disorders have particularly detrimental effects on human immunodeficiency virus (HIV) outcomes. The Healthcare Effectiveness Data and Information Set (HEDIS) measures of treatment initiation and engagement are important benchmarks for access to AOD use disorder treatment. To inform improved patient care, we compared HEDIS measures of AOD use disorder treatment initiation and engagement and health care utilization among PLWH and patients without an HIV diagnosis.
METHODS: Patients with a new AOD use disorder diagnosis documented between October 1, 2014, and August 15, 2015, were identified using electronic health records (EHR) and insurance claims data from 7 health care systems in the United States. Demographic characteristics, clinical diagnoses, and health care utilization data were also obtained. AOD use disorder treatment initiation and engagement rates were calculated using HEDIS measure criteria. Factors associated with treatment initiation and engagement were examined using multivariable logistic regression models.
RESULTS: There were 469 PLWH (93% male) and 86,096 patients without an HIV diagnosis (60% male) in the study cohort. AOD use disorder treatment initiation was similar in PLWH and patients without an HIV diagnosis (10% vs. 11%, respectively). Among those who initiated treatment, few engaged in treatment in both groups (9% PLWH vs. 12% patients without an HIV diagnosis). In multivariable analysis, HIV status was not significantly associated with either AOD use disorder treatment initiation or engagement.
CONCLUSIONS: AOD use disorder treatment initiation and engagement rates were low in both PLWH and patients without an HIV diagnosis. Future studies need to focus on developing strategies to efficiently integrate AOD use disorder treatment with medical care for HIV
Beyond energy efficiency in evaluating sustainable development in planning and the built environment
The EU has set the policy target of reducing energy use by 20% by the year 2020. Therefore, a substantial consumption decrease is needed in the built environment sector. Despite the great energy efficiency improvements in households, recent energy consumption data analyses show that these targets will unlikely be reached. The general aim of this study is to point out the need to define new indicators and evaluation approaches in urban planning and the built environment which are based on the concept of âenergy subsidiarity', focusing on local renewable resources rather than on current approaches based on energy efficiency. This concept correlates energy consumption with the energy supply from local renewable resources and is here proposed as the new urban planning evaluation approach toward a sustainable built environment. In the paper, the âJevons Paradox' concept and the âenergy rebound effect' phenomenon are used to demonstrate how current approaches based on energy efficiency, alone, cannot lead to a remarkable reduction of energy consumption. This is also supported by data on European energy consumption and European energy efficiency in the built environment. Finally, a number of well-known European ecological districts (âeco-districts') are analysed in terms of sustainable energy strategy as well as energy efficiency and energy balance. This study shows that there is a contradiction between the purpose of some of the eco-districts to be low consumption (or low impacts), and the district renewable energy balance. Only a few of the analysed eco-districts are able to cover energy needs by using renewable energy obtained in the surrounding area. In most of the cases, the focus of the districts' activities is on energy efficiency. According to the âJevons Paradox' and âenergy rebound effect' paradigm, energy efficiency alone will unlikely lead to an effective reduction in resources' consumption. These results point out the need for a radical shift toward the development of new approaches in the assessment and management of the built environment for sustainabilit
Receipt of medications for opioid use disorder among youth engaged in primary care: data from 6 health systems
PURPOSE: Little is known about prevalence and treatment of OUD among youth engaged in primary care (PC). Medications are the recommended treatment of opioid use disorder (OUD) for adolescents and young adults (youth). This study describes the prevalence of OUD, the prevalence of medication treatment for OUD, and patient characteristics associated with OUD treatment among youth engaged in PC.
METHODS: This cross-sectional study includes youth aged 16-25 years engaged in PC. Eligible patients hadââ„â1 PC visit during fiscal years (FY) 2014-2016 in one of 6 health systems across 6 states. Data from electronic health records and insurance claims were used to identify OUD diagnoses, office-based OUD medication treatment, and patient demographic and clinical characteristics in the FY of the first PC visit during the study period. Descriptive analyses were conducted in all youth, and stratified by age (16-17, 18-21, 22-25 years).
RESULTS: Among 303,262 eligible youth, 2131 (0.7%) had a documented OUD diagnosis. The prevalence of OUD increased by ascending age groups. About half of youth with OUD had documented depression or anxiety and one third had co-occurring substance use disorders. Receipt of medication for OUD was lowest among youth 16-17 years old (14%) and highest among those aged 22-25 (39%).
CONCLUSIONS: In this study of youth engaged in 6 health systems across 6 states, there was low receipt of medication treatment, and high prevalence of other substance use disorders and mental health disorders. These findings indicate an urgent need to increase medication treatment for OUD and to integrate treatment for other substance use and mental health disorders
Would a Flat Tax Stimulate Entrepreneurship in Germany?: A Behavioural Microsimulation Analysis Allowing for Risk
In debates about possible tax reforms, the impact on entrepreneurship is a primary concern. This paper estimates the ex-ante effects of the German tax reform 2000 and of two hypothetical flat tax scenarios on entries into and exits out of self-employment in Germany. For the estimation I apply a microsimulation model based on the tax-benefit model STSM and on structural microeconometric transition models. These structural models include an estimated parameter of risk aversion. The simulation results indicate that flatter tax systems discourage people from choosing self-employment, which is explained by the reduction of entrepreneurs â income risk through progressive taxation
Decoupling Economic Growth and Energy Use. An Empirical Cross-Country Analysis for 10 Manufacturing Sectors
This paper provides an empirical analysis of decoupling economic growth and energy use and its various determinants by exploring trends in energy- and labour productivity across 10 manufacturing sectors and 14 OECD countries for the period 1970-1997. We explicitly aim to trace back aggregate developments in the manufacturing sector to developments at the level of individual subsectors. A cross-country decomposition analysis reveals that in some countries structural changes contributed considerably to aggregate manufacturing energy-productivity growth and, hence, to decoupling, while in other countries they partly offset energy-efficiency improvements. In contrast, structural changes only play a minor role in explaining aggregate manufacturing labour-productivity developments. Furthermore, we find labour-productivity growth to be higher on average than energy-productivity growth. Over time, this bias towards labour-productivity growth is increasing in the aggregate manufacturing sector, while it is decreasing in most manufacturing subsectors
Estimating the Capacity for ART Provision in Tanzania with the Use of Data on Staff Productivity and Patient Losses
BACKGROUND: International targets for access to antiretroviral therapy (ART) have over-estimated the capacity of health systems in low-income countries in Sub-Saharan Africa. The WHO target for number on treatment by end 2005 for Tanzania was 10 times higher than actually achieved. The target of the national Care and Treatment Plan (CTP) was also not reached. We aimed at estimating the capacity for ART provision and created five scenarios for ART production given existing resource limitations. METHODS: A situation analysis including scrutiny of staff factors, such as available data on staff and patient factors including access to ART and patient losses, made us conclude that the lack of clinical staff is the main limiting factor for ART scale-up, assuming that sufficient drugs and supplies are provided by donors. We created a simple formula to estimate the number of patients on ART based on availability and productivity of clinical staff, time needed to initiate vs maintain a patient on ART and patient losses using five different scenarios with varying levels of these parameters. FINDINGS: Our scenario assuming medium productivity (40% higher than that observed in 2002) and medium loss of patients (20% in addition to 15% first-year mortality) coincides with the actual reported number of patients initiated on ART up to 2008, but is considerably below the national CTP target of 90% coverage for 2009, corresponding to 420,000 on ART and 710,000 life-years saved (LY's). Our analysis suggests that a coverage of 40% or 175,000 on treatment and 350,000 LY's saved is more achievable. CONCLUSION: A comparison of our scenario estimations and actual output 2006-2008 indicates that a simple user-friendly dynamic model can estimate the capacity for ART scale-up in resource-poor settings based on identification of a limiting staff factor and information on availability of this staff and patient losses. Thus, it is possible to set more achievable targets
Are Medium-scale Farms Driving Agricultural Transformation in sub-Saharan Africa?
This study presents evidence of profound farm-level transformation in parts of sub-Saharan Africa, identifies major sources of dynamism in the sector, and proposes an updated typology of farms that reflects the evolving nature of African agriculture. Repeat waves of national survey data are used to examine changes in crop production and marketed output by farm size. Between the first and most recent surveys (generally covering 6 to 10 years), the share of national marketed crop output value accounted for by medium-scale farms rose in Zambia from 23% to 42%, in Tanzania from 17% to 36%, and in Nigeria from 7% to 18%. The share of land under medium-scale farms is not rising in densely populated countries such as Kenya, Uganda, and Rwanda, where land scarcity is impeding the pace of medium-scale farm acquisitions. Medium-scale farmers are a diverse group, reflecting distinct entry pathways into agriculture, encouraged by the rapid development of land rental, purchase, and long-term lease markets. The rise of medium-scale farms is affecting the region in diverse ways that are difficult to generalize. Findings indicate that these farms can be a dynamic driver of agricultural transformation but this does not reduce the importance of maintaining a clear commitment to supporting smallholder farms. Strengthening land tenure security of local rural people to maintain land rights and support productivity investments by smallholder households remains crucial
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