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This paper aims to presents one of the first direct micro-econometric impact of competitive industries (based on revealed comparative advantage [RCA] between Pakistan and China) on household welfare in Pakistan using semi-parametric matching technique.

The study has also measured and identified the industrial competitiveness in both agricultural and non-agricultural (manufacturing) industries using RCA approach. RCA at the four-digit ISIC level are matched to household survey data (Pakistan Social and Living Standard Measurement) for 2013-2014 to represent the competitive industries in which the household’s higher earner is employed.

The findings of the study reveal that the China–Pakistan ex-post treatment effect (industrial competitiveness) provides welfare-improving effects. Furthermore, on this behalf, this study further assesses ex-ante treatment effects of recently signed China–Pakistan Economic Corridor (CPEC) on household welfare and suggests that CPEC would boost further trade liberalization and, therefore, would lead to industrial competitiveness and hence economic growth.

Paper contributes to two streams of literature. First, it measures and identifies the industrial competitiveness in both agricultural and non-agricultural industries using RCA approach; and second, it assesses the welfare of those households associated with these industries using semi-parametric propensity score matching technique.

Pakistan ranks third globally in terms of newborn deaths occuring within the first 24 hours of life. With a neonatal mortality rate of 42.0%, it carries the highest burden compared to neighboring countries such as Bangladesh (17%), India (22.7%) and Afghanistan (37%). While there has been a decline in neonatal mortality rates in Pakistan, the pace of this decline is slower than that of other countries in the region. Hence, it is crucial to conduct a comprehensive examination of the risk factors contributing to neonatal mortality in Pakistan over an extended period. This study aims to analyze the trends and determinants of neonatal mortality in Pakistan over three decades, providing valuable insights into this persistent issue.

The study focused on neonatal mortality as the response variable, which is defined as the death of a live-born child within 28 days of birth. Neonates who passed away during this period were categorized as “cases,” while those who survived beyond a specific timeframe were referred to as “noncases.” To conduct a pooled analysis of neonatal mortality, birth records of 39,976 children born in the five years preceding the survey were extracted from four waves (1990–2018) of the Pakistan Demographic and Household Survey. The relationship between risk factors and the response variable was examined using the Cox Proportional Hazard Model. Neonatal mortality rates were calculated through the direct method using the “syncmrates” package in Stata 15.

During the extended period in Pakistan, several critical protective factors against neonatal mortality were identified, including a large family size, improved toilet facilities, middle-aged and educated mothers, female children, singleton live births, large size at birth and longer birth intervals. These factors were found to reduce the risk of neonatal mortality significantly.

This study makes the first attempt to analyze the trends and patterns of potential risk factors associated with neonatal mortality in Pakistan. By examining a large dataset spanning several years, the study provides valuable insights into the factors influencing neonatal mortality.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0604

The aim of this paper is to examine biological, maternal and socioeconomic determinants of infant mortality in Sierra Leone.

It uses an analytical framework and Cox proportional hazards regression to break down the effects of factors determining infant mortality. Factors utilized in the empirical investigation include sex of the child, birth size, birth spacing, mother's working status, age of mother, antenatal care, postnatal care, mother's anemia level, religion, mother's education and wealth status.

Results suggest that birth spacing of three years and above associated with a reduced risk of infant mortality contrasted with short birth intervals. Children born to nonanemic mothers have a lower hazard (22%) of infant mortality compared to those born to anemic mothers (HR = 0.78; 95% CI: 0.64–0.96). At least one antenatal care visit by mothers lowers infant mortality rate by 41% compared to no antenatal visits at all ( HR = 0.59; 95% CI: 0.36–0.96). Similarly, infants whose mothers have received postnatal care are at lower risk (31%) of dying than those whose mothers have not received (HR = 0.69; 95% CI: 0.52, 0.93). Infant mortality is likely to decrease with the increase in the birth order.

The family health and planning programs should aim at educating men and women about the usefulness of birth spacing methods.

This paper might be the first attempt to analyze the determinants of infant mortality by utilizing a methodological framework and Cox regression.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2019-0478.