Effects of occupational illness on labor productivity: A socioeconomic aspect of informal sector workers in urban Bangladesh

J Occup Health. 2016 May 25;58(2):209-15. doi: 10.1539/joh.15-0219-FS. Epub 2016 Mar 24.

Abstract

Objectives: The informal sector is the dominant area of employment and the economy for any developing country including Bangladesh. The cost of productivity loss due to absence from work or presenteeism with illness has rarely been examined in the Bangladesh context. This current study, therefore, attempted to examine the impact of ill health of informal sector workers on labor productivity, future earning, and healthcare-related expenditure.

Methodology: A cross-sectional survey was conducted among three occupational groups of informal workers (rickshaw pullers, shopkeepers and restaurant workers) that were generally found in all urban areas in Bangladesh. A total of 557 informal workers were surveyed for this study.

Results: Most of the respondents (57%) reported that they had been affected by some type of illness for the last six months. The overall average healthcare expenditure of informal workers was US$48.34, while restaurant workers expended more (US$53.61). Self reported sickness absenteeism was highest (50.37days) in the case of shop keepers, followed by rickshaw pullers (49.31 days), in the last six months. Considering the income loss due to illness in the past six months, the rickshaw pullers were exposed to the highest income loss (US$197.15), followed by the shop keepers (US$151.39).

Conclusions: Although the informal sector contributes the most to the economy of Bangladesh, the workers in this sector have hardly any financial protection. This study provides critical clues to providing financial and social protection to informal sector workers in Bangladesh.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Bangladesh
  • Cross-Sectional Studies
  • Developing Countries
  • Efficiency
  • Female
  • Health Expenditures / statistics & numerical data*
  • Humans
  • Informal Sector*
  • Male
  • Middle Aged
  • Occupational Diseases / economics*
  • Occupations / statistics & numerical data*
  • Presenteeism / economics
  • Sick Leave / economics
  • Socioeconomic Factors
  • Urban Population / statistics & numerical data*
  • Young Adult