Reflections on Microfinance

2019 ◽  
pp. 188-207
Author(s):  
Sovik Mukherjee ◽  
Ramesh Chandra Das
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Poverty Line ◽  
Infant Mortality Rate ◽  
Self Sufficiency ◽  
Socio Economic Development

Microfinance has become the latest buzzword in the credit markets where it shoulders the responsibility of alleviating poverty coupled with socio-economic development. Dealing with microfinance coupled with the issue of poverty reduction, the first concern is to handle the twin objectives of poverty alleviation and achievement of financial self-sufficiency, which are often at loggerheads. To begin with, the present chapter constructs a five-dimensional human poverty index (HPI) in terms of the rate of unemployment, state wise illiteracy rate, state-wise infant mortality rate, state-wise percentage of population below the poverty line, and the percentage of population not having an access to electricity for the states across India. Thus, this will serve as an index for the extent of poverty. Consequently, a fall in the value of the index actually implies poverty alleviation. This empirical model does not justify the hypothesis that “microfinance reduces poverty” at the macro level using cross-state panel data for India.

Determinants of Infant Mortality Rate in Malaysia: Evidence from Dynamic Panel Data Study

2019 ◽  
Vol 21 (4) ◽  
pp. 443-450
Author(s):  
Chor Foon Tang
Keyword(s):  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Spending ◽  
Mortality Rates ◽  
Dynamic Panel Data ◽  
Infant Mortality Rate ◽  
Female Education ◽  
Dynamic Panel ◽  
Governance Quality

Understanding the factors associated with the infant mortality rate is essential as it may guide policymaking in efforts to alleviate the high incidence of infant mortality. The aim of this study is to explore the major determinants of the infant mortality rate with specific focus accorded to research and development (R&D) and governance quality. Our analysis utilizes unbalanced panel data from 122 countries from 2001 to 2013. Using the dynamic panel data generalized method of moments (GMM) estimator, we find that income, health spending, female education, technological progress and governance quality have significant negative impact on infant mortality rates. It can thus be surmised that policies to reduce infant mortality rates should focus upon improving the level of income, female education, health spending and governance quality, besides encouraging R&D activities.

scholarly journals PANEL DATA REGRESSION ANALYSIS FOR FACTORS AFFECTING INFANT MORTALITY RATE IN EAST JAVA 2013-2017

2021 ◽  
Vol 16 (3) ◽  
pp. 437
Author(s):  
Faishal Azhar Wardhana ◽  
Rachmah Indawati
Keyword(s):  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Data Availability ◽  
Infant Mortality Rate ◽  
Complete Coverage ◽  
Cross Sectional ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Government

ABSTRACTThe escalating infant mortality rate (IMR) in Indonesia has not been able to fulfill the target of Sustainable Development Goals (SDGs) that restrict the limit of IMR to just 12 of 1,000 live births. According to such fact, this research was designed as the application of panel data regression in an IMR case study of East Java from 2013–2017. Regression panel data enable research in describing cross-sectional and time series information. The variety of data availability in this method were capable of producing a high degree of freedom, allowing it to meet the prerequisites and statistical properties. This method was considered the most suitable one for analyzing the rising IMR. This research was classified as non-reactive research. All regencies/cities in East Java served as this study’s population. Data collection included K4 coverage, childbirth assistance, and KN complete coverage. The result of panel data regression showed a significant connection between K4 coverage (0.0230), childbirth assistance (p = 0.0105), and KN complete coverage (0.0205). Adjusted R-Square value was obtained with an amount of 80%, which means that all independent variables were able to explain the dependent one of that value, while the remaining were explained by other factors. This study can provide some suggestions to support IMR in East Java, including handling from the government or related pregnant families to support IMR on an ongoing basis. Keywords: panel data regression, IMR, K4, childbirth assistance, KN complete

scholarly journals Socioeconomic Determinants of Infant Mortality Rate in Asean: A Panel Data Analysis

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Vita Kartika Sari ◽  
Dwi Prasetyani
Keyword(s):  
Health Status ◽  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Strong Influence ◽  
Mortality Rates ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Per Capita

The infant mortality rate indicates the health status of a country. Previous studies have proven that socioeconomic factors have a significant influence on infant mortality rates in both developed and developing countries. Further studies on infant mortality rates are useful for public service strategic policy in the health sector. The main purpose of this study was to analyze the socioeconomic factors influencing infant mortality rates in ASEAN based on panel data estimates for 2000-2017. The dependent variable for this study was infant mortality rate, while the independent variables were health expenditure, female labor force, maternal fertility rate, and GDP per capita. The authors concluded that the main cause of infant mortality in ASEAN is care during delivery. Other influencing factors include family health status, maternal education level, and socio-economic inequality. This study found that the size of the female workforce has a strong influence on increasing the infant mortality rate in ASEAN. The fertility rate also had a strong influence on increasing infant mortality rate in ASEAN, while GDP per capita had a negative influence on infant mortality rate.  Health expenditure is proven to have no effect on the increase of infant mortality rates in ASEAN.

Major Determinants of Infant Mortality

2018 ◽  
Vol 20 (3) ◽  
pp. 345-362
Author(s):  
Subhanil Banerjee
Keyword(s):  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Nutritional Status ◽  
Birth Spacing ◽  
Infant Mortality Rate ◽  
Development Indicators ◽  
Behavioural Factors ◽  
Health Programmes ◽  
Better Than

Infant mortality rate (IMR) is one of the most important development indicators. In India, there is a severe interstate disparity regarding IMR. Kerala registers a very low IMR; whereas in Odisha it is pretty high. It is somewhat paradoxical as Odisha fares substantially better than many other states with lower IMR regarding total fertility rate, antenatal care and in many other aspects. The present article attempts to investigate the applicability of usually perceived major determinants of IMR as evidenced in the existing literature for Odisha. The panel data multiple regression carried out with data of 30 districts of Odisha over three years indicates that physiological and behavioural factors together with maternal and demographic factors are perhaps more important than the health programmes for reduction of IMR in Odisha. Moreover, many of the usually perceived major determinants of IMR including economic betterment are statistically insignificant for Odisha. The policymakers should take into account these facts and instead of a series of health programmes, they might resort to awareness building regarding breastfeeding and birth spacing. Mother’s nutritional status should also be strengthened so that they can sustain exhaustive breastfeeding for first six months after the birth of the child.

Some Determinants of Infant Mortality Rate in SAARC Countries: an Empirical Assessment through Panel Data Analysis

2020 ◽  
Vol 13 (6) ◽  
pp. 2093-2116
Author(s):  
Ujjal Protim Dutta ◽  
Hemant Gupta ◽  
Asok Kumar Sarkar ◽  
Partha Pratim Sengupta
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Panel Data Analysis ◽  
Infant Mortality Rate ◽  
Empirical Assessment

Perbandingan Linieritas Dalam Pendeteksian Faktor-Faktor Yang Mempengaruhi Angka Kematian Bayi Di Provinsi Aceh

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Desfira Ahya ◽  
Inas Salsabila ◽  
Miftahuddin
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Linear Model ◽  
Health Workers ◽  
Additive Model ◽  
Infant Mortality Rate ◽  
Mortality Data ◽  
Important Indicator ◽  
Penalized Spline ◽  
Aceh Province

Angka Kematian Bayi/ Infant Mortality Rate (IMR) merupakan indikator penting dalam mengukur keberhasilan pengembangan kesehatan. Nilai IMR juga dapat digunakan untuk mengetahui tingkat kesehatan ibu, kondisi kesehatan lingkungan dan secara umum, tingkat pengembangan sosio-ekonomi masyarakat. Penelitian ini bertujuan untuk memperoleh model IMR terbaik menggunakan tiga pendekatan: Model Linear, Model Linear Tergeneralisir dan Model Aditif Tergeneralisir dengan basis P-spline. Sebagai tambahan, berdasarkan model tersebut akan terlihat variabel yang mempengaruhi tingkat kematian bayi di provinsi Aceh. Penelitian ini menggunakan data jumlah kematian bayi di tahun 2013-2015. Data dalam penelitian ini diperoleh dari Profil Kesehatan Aceh. Hasil menunjukkan bahwa model terbaik dalam menjelaskan angka kematian bayi di provinsi Aceh tahun 2013-2015 ialah Model Linear Tergeneralisir dengan basis P-spline menggunakan parameter penghalusan 100 dan titik knots 8. Faktor yang sangat mempengaruhi angka kematian ialah jumlah pekerja yang sehat.   Infant mortality rate (IMR) is an important indicator in measuring the success of health development. IMR also can be used to knowing the level of maternal health, environmental health conditions and generally the level of socio-economic development in community. This research aims to get the best model of infant mortality data using three approaches: Linear Model, Generalized Linear Model and Generalized Additive Model with Penalized Spline (P-spline) base. In addition, based on the model can be seen the variables that affect to infant mortality in Aceh Province. This research uses data number of infant mortality in Aceh Province period 2013-2015. The data in this research were obtained from Aceh’s Health Profile. The results show that the best model can be explain infant mortality rate in Aceh Province period 2013-2015 is GAM model with P-spline base using smoothing parameter 100 and knots 8. Factor that high effect to infant mortality is number of health workers.

Empirical analysis of factors influencing the public health expenditure in Malaysia

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Kok Wooi Yap ◽  
Doris Padmini Selvaratnam
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Price Index ◽  
Infant Mortality Rate ◽  
Public Health Expenditure ◽  
The Public ◽  
Empirical Results ◽  
Per Capita

This study aims to investigate the determinants of public health expenditure in Malaysia. An Autoregressive Distributed Lag (ARDL) approach proposed by Pesaran & Shin (1999) and Pesaran et al. (2001) is applied to analyse annual time series data during the period from 1970 to 2017. The study focused on four explanatory variables, namely per capita gross domestic product (GDP), healthcare price index, population aged 65 years and above, as well as infant mortality rate. The bounds test results showed that the public health expenditure and its determinants are cointegrated. The empirical results revealed that the elasticity of government health expenditure with respect to national income is less than unity, indicating that public health expenditure in Malaysia is a necessity good and thus the Wagner’s law does not exist to explain the relationship between public health expenditure and economic growth in Malaysia. In the long run, per capita GDP, healthcare price index, population aged more than 65 years, and infant mortality rate are the important variables in explaining the behaviour of public health expenditure in Malaysia. The empirical results also prove that infant mortality rate is significant in influencing public health spending in the short run. It is noted that macroeconomic and health status factors assume an important role in determining the public health expenditure in Malaysia and thus government policies and strategies should be made by taking into account of these aspects.

Measuring Effectiveness Of Economic Growth On Reducing Infant Mortality Rate In Tamilnadu

2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER
Keyword(s):  
Economic Growth ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Negative Relationship ◽  
Infant Mortality Rate ◽  
Domestic Product ◽  
Per Capita ◽  
The Impact ◽  
Adf Test ◽  
Bound Test

                   This paper deals with economic growth and infant mortality rate in Tamilnadu. The objects of this paper are to test the relationship between Per capita Net State Domestic Product and infant mortality rate and also to measure the impact of Per capita Net State Domestic Product on infant mortality rate in Tamil Nadu. This analysis has employed the ADF test and ARDL approach. The result of the study shows that IMR got reduced and Per capita Net State Domestic Product increased during the study period. This analysis also revealed that there is a negative relationship between IMR and the economic growth of Tamilnadu. In addition, ARDL bound test result has concluded that per capita Net State Domestic Product of Tamilnadu has long run association with IMR.

scholarly journals The Role of Place of Delivery in Preventing Neonatal and Infant Mortality Rate in India

Geographies ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 47-62
Author(s):  
Ujjwal Das ◽  
Barkha Chaplot ◽  
Hazi Mohammad Azamathulla
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Neonatal Mortality ◽  
Public Hospitals ◽  
Infant Mortality Rate ◽  
Private Institutions ◽  
Public And Private ◽  
Place Of Delivery ◽  
At Home

Skilled birth attendance and institutional delivery have been advocated for reducing maternal, neonatal mortality and infant mortality (NMR and IMR). This paper examines the role of place of delivery with respect to neo-natal and infant mortality in India using four rounds of the Indian National Family Health Survey conducted in 2015–2016. The place of birth has been categorized as “at home” or “public and private institution.” The role of place of delivery on neo-natal and infant mortality was examined by using multivariate hazard regression models adjusted for clus-tering and relevant maternal, socio-economic, pregnancy and new-born characteristics. There were 141,028 deliveries recorded in public institutions and 54,338 in private institutions. The esti-mated neonatal mortality rate in public and private institutions during this period was 27 and 26 per 1000 live births respectively. The study shows that when the mother delivers child at home, the chances of neonatal mortality risks are higher than the mortality among children born at the health facility centers. Regression analysis also indicates that a professionally qualified provider′s antenatal treatment and assistance greatly decreases the risks of neonatal mortality. The results of the study illustrate the importance of the provision of institutional facilities and proper pregnancy in the prevention of neonatal and infant deaths. To improve the quality of care during and imme-diately after delivery in health facilities, particularly in public hospitals and in rural areas, accel-erated strengthening is required.

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