Abstract

The aims of this research are first, to explore the factors that are associated with health status. Second, to address the individual characteristics and household conditions that affect the health status of labor force, taking into account the urban-rural differences. This research utilized data from SUSENAS Cor 2018, and employed a cross sectional - multinomial logistic regression analysis method. The dependent variable is the health conditions of the labor force. The findings show that, age and number of household members were significant for both sick and very sick health status in all two type of areas analyzed. In urban and rural areas simultaneously gender, expenditure per capita, and drinking water were only significant for sick health group while marital status, education, employment status, sanitation, house area was only significant for very sick health status group. In urban areas, the results indicated that gender, employment status, and drinking water were only significant for sick health status, while marital status, education, sanitation, and house area significant for very sick health status. Moreover, in rural areas, marital status was only significant for sick health status whereas, sanitation and house area were significant for the very sick health status.

Highlights

  • Todaro and Smith (2015) stated that population growth has traditionally been considered an essential factor to stimulate economic growth

  • Past research has shown that individual characteristics and household conditions such as age, education, employment status, and household income affect the health of the labor force (Solar and Irwin, 2010)

  • Determinants behind the rising number of health complaints in East Kalimantan province compared to other regions is the subject of this study

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Summary

Introduction

Todaro and Smith (2015) stated that population growth (which will eventually increase the labor force) has traditionally been considered an essential factor to stimulate economic growth. The increasing numbers of labor force need to be followed by an increase in productivity. Good health is needed to be economically productive. Past research has shown that individual characteristics and household conditions such as age, education, employment status, and household income affect the health of the labor force (Solar and Irwin, 2010). Similar results were shown in a study conducted in Greece where certain demographic factors and socioeconomic factors are associated with greater morbidity and deterioration of people’s health status (Dimitris et al 2013). The Population Reference Bureau (2017) in their policy brief contends that, a long-term investment in human capital, such as education, health, and skill enhancement, plays a vital role in achieving sustainable economic development, where the role of the government as a policy maker is greatly needed

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