Health has vital importance in maintaining economic development since it is essential for, and a result of, economic development. This indicates that health makes a large contribution in achieving sustainable development and health outcomes. The significance of health is shown in the millennium development goals (MDGs) and in the sustainable development goals (SDGs), where four of the seventeen objectives focus on improving health outcomes (UN, 2021). As compared to other countries, some Asian countries are still worse off regarding health outcomes and are facing challenges in achieving positive outcomes for such goals. This study mainly focuses on identifying the link between public health expenditures and health outcomes in nine Asian economies from 2000 to 2018. The study implements fixed effects panel data estimations by using the Hausman specification test to identify the fixed effects model as the suitable estimator for the study. The empirical results from the fixed effects technique show that immunization, GDP per capita, trade openness, and utilization of basic water service facilities improve under-five and infant mortality in Asian economies. However, ecological footprint increases under-five and infant deaths by damaging the environment.
The decision to work in the labor market commonly depends on a decision by the participants between two options: to work or not to work. However, the priorities are different. Some females prefer to involve themselves in some economic activities (paid work) at home and some market activities. This research investigates the factors that motivate males and females to engage in informal employment. The data has been used collected from a household survey. This survey is made from three divisions of Southern Punjab, where the majority of the population resides. The survey is premeditated to gather some information of the households regarding demographic, social, and economic factors. The present study investigates the factors of employment by using the logit model. Findings show that low educated, married and aged people are working in the informal sector. Formally trained workers and workers of highly educated parents are switching to the formal sector. Those having assets are working in the informal sector. Those female participants having adults are participating in the informal sector. Based on study results, it is suggested that government must provide more employment opportunities in urban areas of Southern Punjab.
Lysine Lipoylation is a protective and conserved Post Translational Modification (PTM) in proteomics research like prokaryotes and eukaryotes. It is connected with many biological processes and closely linked with many metabolic diseases. To develop a perfect and accurate classification model for identifying lipoylation sites at the protein level, the computational methods and several other factors play a key role in this purpose. Usually, most of the techniques and different traditional experimental models have a very high cost. They are time-consuming; so, it is required to construct a predictor model to extract lysine lipoylation sites. This study proposes a model that could predict lysine lipoylation sites with the help of a classification method known as Artificial Neural Network (ANN). The ANN algorithm deals with the noise problem and imbalance classification in lipoylation sites dataset samples. As the result shows in ten-fold cross-validation, a brilliant performance is achieved through the predictor model with an accuracy of 99.88%, and also achieved 0.9976 as the highest value of MCC. So, the predictor model is a very useful and helpful tool for lipoylation sites prediction. Some of the residues around lysine lipoylation sites play a vital part in prediction, as demonstrated during feature analysis. The wonderful results reported through the evaluation and prediction of this model can provide an informative and relative explanation for lipoylation and its molecular mechanisms.
This study aims an investigating the impact of the agricultural sector on the economic growth of Pakistan. Johansen co-integration was used to show the long-run relation between livestock, fisheries, major crops, minor crops, gross capital formation, and economic growth in Pakistan. The data were taken from the Pakistan Economic Surveys for the period 1987-2017. The Vector-Correction Model results show that in the short run livestock and fisheries have a negative and insignificant effect on growth. The significant negative value of the Vector Error Correction Model coefficients shows that the parameters will do adjustment and return to equilibrium in the long run. The co-integration results showed a positive link between sub-sectors of agriculture and economic growth. The study is crucial for policy makers regarding the promotion of agricultural sector. The agriculture sector is very important for the growth of Pakistan's economy, but it has not been given due importance. The study recommends the formulation of suitable policies to promote the livestock and fisheries sector in Pakistan to raise the sources of foreign revenue.
The majority of the females become a part of the labour force to share the burden of families in Pakistan, and they contribute to the cost of their children's health care. This issue is highlighted in this study. This research focuses on females’ education and their involvement in the labour market and child health care in Pakistan. The activities that affect the health of children are analysed here by using time use survey data. The ordinary least squares regression technique is used to find an association of female related and household related variables and their child health care. The results reveal that female’s age and employment affect child health care negatively. However, female’s age square and child health care are positively related. Moreover, the mother’s educational grade dummies, assets of family and family size positively affect the child's health care. The study concludes that mature females provide better care to their children's health. However, employed females have less time to care for their child's health. Those females who belong to the joint family system can better look after their children due to their share of household responsibilities. In addition, educated and financially strong females provide better health care to their children. The study suggests that lower-cost care centers can make the high participation of females in the labour market. Moreover, mothers should give too much time to their children for better care. There is a severe need for improvement of the higher education of females so that they can better utilize their education in caring for their children.
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