137 research outputs found

    Extractive institutions in non-tradeable industries

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    We are interested in the hypothesis that in order to promote export competitiveness and create jobs, it is necessary to address major distortions to prices in the non-tradeable sector. Exports drive growth in developing countries, yet most employment growth is generated in non-tradeable sectors. We contribute to the previous literature by explaining how non-tradeable sectors are particularly vulnerable to distortions arising from extractive and poor quality institutions. We estimate an IV-GMM model on a sample of low-middle income countries, finding evidence of a strong relationship between the growth of non-tradeable prices and the quality of local institutions. Overlooking the distortions in non-tradeable sectors could limit the analysis of constraints to economic growth and transformation in developing countries

    Political, economic and research disintegration: The impact of geopolitical uncertainty on cross-border R&D collaborations and innovation

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    Uncertainty regarding the policy environment could be particularly detrimental for innovation, as it requires high-risk investment, and long-term commitments with scientists and research partners. This paper focuses on the effects of geopolitical uncertainty on cross-border R&D collaborations and patenting activity, exploiting the UK exit from the EU as a quasi-natural experiment in a Difference-in-Difference (DiD) analysis. Our results reveal a significant disruption in cross-border research collaborations of UK organisations after the Brexit referendum, as EU based inventors were replaced by UK ones. This has resulted in a shift in the field of technologies patented, and in a decrease in inventions patented overseas. Overall, the disruption has negatively affected the innovations of UK based organisations, reducing both the number and quality of patents

    Neighbourhood labour structure, lockdown policies, and the uneven spread of COVID‐19: within‐city evidence from England

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    We estimate the importance of local labour structure in the spread of COVID-19 during the first year of the pandemic. We build a unique dataset across 6791 English neighbourhoods that distinguishes between people living (residents) and people working (workers) in a neighbourhood, and differentiate between jobs that can be done from home (homeworkers), jobs that likely continued on-site (keyworkers), and non-essential on-site jobs. We find that a 10 percentage points increase in keyworker jobs among residents is associated with 3.15 more cases per 1000 (4.8% relative to the mean), while a 10 percentage points increase in homeworker jobs among residents is associated with a decrease of 7.74 cases per 1000 (11.8% relative to the mean). Results for the composition of workers show the same sign, but smaller magnitudes. A dynamic analysis of the monthly incidence of reported cases shows that these relationships are particularly strong during lockdown periods. These results are heterogeneous across neighbourhoods, with larger positive effect of keyworkers, and lower protective effect of homeworkers, in higher deprivation areas. We explore the role of occupation skill intensity in driving these neighbourhood differences. These findings highlight important asymmetries in the distributional impact of the policy response to COVID-19

    Effect of regional skill gaps and skill shortages on firm productivity

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    This paper contributes to the literature on regional productivity, complementing previous education and skill level perspectives with a novel approach analysing the impact of regional skill gaps and skill shortages. This allows us to better reflect the idiosyncratic needs of the regional economic structure, considering both the demand and supply side of the skills equation in localised labour markets. Controlling for unobserved time-invariant firm-level heterogeneity and other region-industry effects across a longitudinal dataset for the period 2008 - 2014, our analysis reveals a negative direct effect of skill shortages on firm productivity. We further find negative spillover effects for both skill gaps and skill shortages in related industries and proximate regions. Results are also shown to be heterogeneous with respect to agglomeration levels and industrial sectors. Stronger negative effects are found in industries defined by a knowledge-intensive skill base pointing to the loss of learning effects in the presence of skill deficiencies. Conversely, agglomeration effects appear to moderate the impact of skill deficiencies through more efficient matching in the local labour market. The findings presented thus suggest that policies aimed at improving productivity and addressing the increasing regional productivity divide cannot be reduced to a simple space-neutral support for higher education and skill levels but need to explicitly recognise the presence and characteristics of place-specific skills gaps and shortages

    Impact of social determinants on antiretroviral therapy access and outcomes entering the era of universal treatment for people living with HIV in Italy

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    Background: Social determinants are known to be a driving force of health inequalities, even in high income countries. Aim of our study was to determine if these factors can limit antiretroviral therapy (ART) access, outcome and retention in care of people living with HIV (PLHIV) in Italy. Methods: All ART naïve HIV+ patients (pts) of Italian nationality enrolled in the ICONA Cohort from 2002 to 2016 were included. The association of socio-demographic characteristics (age, sex, risk factor for HIV infection, educational level, occupational status and residency area) with time to: ART initiation (from the first positive anti-HIV test), ART regimen discontinuation, and first HIV-RNA < 50 cp/mL, were evaluated by Cox regression analysis, Kaplan Meier method and log-rank test. Results: A total of 8023 HIV+ pts (82% males, median age at first pos anti-HIV test 36 years, IQR: 29-44) were included: 6214 (77.5%) started ART during the study period. Women, people who inject drugs (PWID) and residents in Southern Italy presented the lowest levels of education and the highest rate of unemployment compared to other groups. Females, pts aged > 50 yrs., unemployed vs employed, and people with lower educational levels presented the lowest CD4 count at ART initiation compared to other groups. The overall median time to ART initiation was 0.6 years (yrs) (IQR 0.1-3.7), with a significant decrease over time [2002-2006 = 3.3 yrs. (0.2-9.4); 2007-2011 = 1.0 yrs. (0.1-3.9); 2012-2016 = 0.2 yrs. (0.1-2.1), p < 0.001]. By multivariate analysis, females (p < 0.01) and PWID (p < 0.001), presented a longer time to ART initiation, while older people (p < 0.001), people with higher educational levels (p < 0.001), unemployed (p = 0.02) and students (p < 0.001) were more likely to initiate ART. Moreover, PWID, unemployed vs stable employed, and pts. with lower educational levels showed a lower 1-year probability of achieving HIV-RNA suppression, while females, older patients, men who have sex with men (MSM), unemployed had higher 1-year risk of first-line ART discontinuation. Conclusions: Despite median time to ART start decreased from 2002 to 2016, socio-demographic factors still contribute to disparities in ART initiation, outcome and durability

    The price of indoor air pollution : evidence from radon maps and the housing market

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    This paper uses the housing market to examine the costs of indoor air pollution. We focus on radon, an indoor air pollutant which is the largest source of exposure to natural ionising radiation and the leading cause of lung cancer after smoking. To overcome potential confounders, we exploit a natural experiment whereby a risk map update in England induces exogenous variation in published radon risk levels. Using a repeat-sales approach, we find a significant negative relationship between changes in published radon risk levels and residential property prices of affected properties. Interestingly, we do not find that the effect of increasing or decreasing radon risk is symmetric. We also show that the update of the risk map led higher socio-economic groups (SEGs) to move away from radon affected areas, attracting lower SEG residents via lower prices. Finally, we propose and utilise a new theoretical framework to account for preference based sorting which allows us to calculate that the average willingness to pay to avoid radon risk is $3,360

    First evaluation of QuantiFERON-TB Gold Plus performance in contact screening

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    Identifying latently infected individuals is crucial for the elimination of tuberculosis (TB). We evaluated for the first time the performance of a new type of interferon-γ release assay, QuantiFERON-TB Plus (QFT-Plus), which includes an additional antigen tube (TB2), stimulating both CD4(+) and CD8(+) T-cells in contacts of TB patients.Contacts were screened for latent TB infection by tuberculin skin test, QFT-Plus and QuantiFERON-TB Gold in Tube (QFT-GIT).In 119 TB contacts, the overall agreement between QFT-Plus and QFT-GIT was high, with a Cohen's κ of 0.8. Discordant results were found in 12 subjects with negative QFT-GIT and positive QFT-Plus results. In analyses of markers of TB exposure and test results, the average time spent with the index case was the strongest risk factor for positivity in each of these tests. The difference in interferon-γ production between the two antigen tubes (TB2-TB1) was used as an estimate of CD8(+) stimulation provided by the TB2. TB2-TB1 values >0.6 IU·mL(-1) were significantly associated with proximity to the index case and European origin.QFT-Plus has a stronger association with surrogate measures of TB exposure than QFT-GIT in adults screened for latent TB infection. Interferon-γ response in the new antigen tube used an indirect estimate of specific CD8(+) response correlates with increased Mycobacterium tuberculosis exposure, suggesting a possible role in identifying individuals with recent infection

    Prognostic Value of the Fibrosis-4 Index in Human Immunodeficiency Virus Type-1 Infected Patients Initiating Antiretroviral Therapy with or without Hepatitis C Virus

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    Objective: To evaluate the Fibrosis (FIB)-4 index as a predictor of major liver-related events (LRE) and liver-related death (LRD) in human immunodeficiency virus (HIV) type-1 patients initiating combination antiretroviral therapy (cART). Design: Retrospective analysis of a prospective cohort study. Setting: Italian HIV care centers participating to the ICONA Foundation cohort. Participants: Treatment-naive patients enrolled in ICONA were selected who: initiated cART, had hepatitis C virus (HCV) serology results, were HBsAg negative, had an available FIB-4 index at cART start and during follow up. Methods: Cox regression models were used to determine the association of FIB4 with the risk of major LRE (gastrointestinal bleeding, ascites, hepatic encephalopathy, hepato-renal syndrome or hepatocellular carcinoma) or LRD. Results: Three-thousand four-hundred seventy-five patients were enrolled: 73.3% were males, 27.2% HCV seropositive. At baseline (time of cART initiation) their median age was 39 years, had a median CD4+ T cell count of 260 cells/uL, and median HIV RNA 4.9 log copies/ mL, 65.9% had a FIB-4 < 1.45, 26.4% 1.45-3.25 and 7.7% > 3.25. Over a follow up of 18,662 person-years, 41 events were observed: 25 major LRE and 16 LRD (incidence rate, IR, 2.2 per 1,000 PYFU [95% confidence interval, CI 1.6-3.0]). IR was higher in HCV seropositives as compared to negatives (5.9 vs 0.5 per 1,000 PYFU). Higher baseline FIB-4 category as compared to < 1.45 (FIB-4 1.45-3.25: HR 3.55, 95% CI 1.09-11.58; FIB-4 > 3.25: HR 4.25, 1.21-14.92) and time-updated FIB-4 (FIB-4 1.45-3.25: HR 3.40, 1.02-11.40; FIB- 4> 3.25: HR 21.24, 6.75-66.84) were independently predictive of major LRE/LRD, after adjusting for HIV- and HCV-related variables, alcohol consumption and type of cART. Conclusions: The FIB-4 index at cART initiation, and its modification over time are risk factors for major LRE or LRD, independently of infection with HCV and could be used to monitor patients on cART
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