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PurposeThe purpose of this paper is to consider the heterogeneous relationship among financial development, foreign direct investment (FDI) and economic growth, examining the possible directions of causality among them in both the short and long runs.Design/methodology/approachA sample of the G-20 countries over the period 1970–2016 is utilized. A vector error-correction model is used to consider the possible directions of causality among financial development, FDI and economic growth.FindingsResults suggest a cointegrating relationship among the three series. Although short-run links among the variables are mostly non-uniform, both financial development and FDI matter in the determination of long-run economic growth.Practical implicationsAttention must be paid to policies that promote financial development. This, in turn, calls for fostering incentives to guarantee continued support to liberalize the economy and promoting capital openness. Additionally, financial infrastructure should be improved to improve financial innovation. The establishment of a well-developed financial market, including well-functioning banks and other financial institutions, can facilitate further investment and an easier means of raising capital to support the activities of FDI. Economic growth can ultimately be elevated through both financial development and FDI.Originality/valueThe study considers a sample of the G-20 countries, which have received relatively little attention in the existing literature. In addition, the study concurrently analyses the trivariate causal relationship among financial development, FDI and economic growth, a topic on which there has been a dearth of research.

This paper examines the nature of changes within the EU–15 welfare states affected by the 2008 crisis. We try to answer the question of whether the differences that exist among different welfare state regimes, according to prevailing welfare state typologies, lead to different responses to the consequences of the crisis. Welfare state regimes are the result of different institutional perceptions of social risks hence it is realistic to expect specific responses to the effects of crisis among different welfare state regimes, and similar responses among the countries that belong to the same welfare state regimes. In order to recognize convergent vs. divergent processes, we perform a comparative analysis of the dynamics of the key welfare state determinants of the EU–15 countries, grouping according to welfare state regimes, in the pre-crisis and crisis periods. The results indicate that institutional rigidity and inherent inertia has remained a key factor of convergent welfare state processes in countries that belong to the Social Democratic and Corporatist welfare state regimes. Deviations from such a course are the most evident in the Mediterranean welfare state regimes, especially in Greece and Portugal where austerity measures have been formulated under the strong influence of the Troika.

This paper examines the nature of changes within the EU–15 welfare states affected by the 2008 crisis. We try to answer the question of whether the differences that exist among different welfare state regimes, according to prevailing welfare state typologies, lead to different responses to the consequences of the crisis. Welfare state regimes are the result of different institutional perceptions of social risks hence it is realistic to expect specific responses to the effects of crisis among different welfare state regimes, and similar responses among the countries that belong to the same welfare state regimes. In order to recognize convergent vs. divergent processes, we perform a comparative analysis of the dynamics of the key welfare state determinants of the EU–15 countries, grouping according to welfare state regimes, in the pre-crisis and crisis periods. The results indicate that institutional rigidity and inherent inertia has remained a key factor of convergent welfare state processes in countries that belong to the Social Democratic and Corporatist welfare state regimes. Deviations from such a course are the most evident in the Mediterranean welfare state regimes, especially in Greece and Portugal where austerity measures have been formulated under the strong influence of the Troika.

Abstract Background Bangladesh is one of the 27 high burden countries for multidrug resistant tuberculosis listed by the World Health Organization. Delay in multidrug resistant tuberculosis treatment may allow progression of the disease and affect the attempts to curb transmission of drug resistant tuberculosis. The main objective of this study was to investigate the health system delay in multidrug resistant tuberculosis treatment in Bangladesh and to explore the factors related to the delay. Methods Information related to the delay was collected as part of a previously conducted case–control study. The current study restricts analysis to patients with multidrug resistant tuberculosis who were diagnosed using rapid diagnostic methods (Xpert MTB/RIF or the line probe assay). Information was collected by face-to-face interviews and through record reviews from all three Government hospitals providing multidrug resistant tuberculosis services, from September 2012 to April 2013. Multivariable regression analysis was performed using Bootstrap variance estimators. Definitions were as follows: Provider delay: time between visiting a provider for first consultation on MDR-TB related symptom to visiting a designated diagnostic centre for testing; Diagnostic delay: time from date of diagnostic sample provided to date of result; Treatment initiation delay: time between the date of diagnosis and date of treatment initiation; Health system delay: time between visiting a provider to start of treatment. Health system delay was derived by adding provider delay, diagnostic delay and treatment initiation delay. Results The 207 multidrug resistant tuberculosis patients experienced a health system delay of median 7.1 weeks. The health system delay consists of provider delay (median 4 weeks), diagnostic delay (median 5 days) and treatment initiation delay (median 10 days). Health system delay (Coefficient: 37.7; 95 %; CI 15.0–60.4; p 0.003) was associated with the visit to private practitioners for first consultation. Conclusions Diagnosis time for multidrug resistant tuberculosis was fast using the rapid tests. However, some degree of delay was present in treatment initiation, after diagnosis. The most effective way to reduce health system delay would be through strategies such as engaging private practitioners in multidrug resistant tuberculosis control.

Abstract Background Nigeria continues to have one of the highest rates of neonatal deaths in Africa. This study aimed to identify risk factors associated with neonatal death in Nigeria using the 2008 Nigeria Demographic and Health Survey (NDHS). Methods Neonatal deaths of all singleton live-born infants between 2003 and 2008 were extracted from the 2008 NDHS. The 2008 NDHS was a multi-stage cluster sample survey of 36,298 households. Of these households, survival information of 27,147 singleton live-borns was obtained, including 996 cases of neonatal mortality. The risk of death was adjusted for confounders relating to individual, household, and community level factors using Cox regression. Results Multivariable analyses indicated that a higher birth order of newborns with a short birth interval ≤ 2 years (hazard ratio [HR] = 2.19, confidence interval [CI]: 1.68–2.84) and newborns with a higher birth order with a longer birth interval > 2 years (HR = 1.36, CI: 1.05–1.78) were significantly associated with neonatal mortality. Other significant factors that affected neonatal deaths included neonates born to mothers younger than 20 years (HR = 4.07, CI: 2.83–5.86), neonates born to mothers residing in rural areas compared with urban residents (HR = 1.26, CI: 1.03–1.55), male neonates (HR = 1.30, CI: 1.12–1.53), mothers who perceived their neonate's body size to be smaller than the average size (HR = 2.10, CI: 1.77–2.50), and mothers who delivered their neonates by caesarean section (HR = 2.80, CI: 1.84–4.25). Conclusions Our study suggests that the Nigerian government needs to invest more in the healthcare system to ensure quality care for women and newborns. Community-based intervention is also required and should focus on child spacing, childbearing at a younger age, and poverty eradication programs, particularly in rural areas, to reduce avoidable neonatal deaths in Nigeria.

AbstractThis paper examines the relationship between banking sector development, stock market development, economic growth, and four other macroeconomic variables in ASEAN countries for the period 1961–2012. Using principal component analysis for the construction of the development indices and a panel vector auto‐regressive model for testing the Granger causalities, this study finds the presence of both unidirectional and bidirectional causality links between these variables. The study contributes to understanding the importance of the interrelationship between the variables and combines the different strands of the literature. It also contributes to the literature by focusing on a group of countries that have not been studied before. One particular policy recommendation is to make the banking sector more accessible for those country's inhabitants that do not have bank accounts. Another policy recommendation is to nurture stock market development, which will facilitate the increased raising of capital for investment purposes to enhance economic growth.