64th ISI World Statistics Congress - Ottawa, Canada

64th ISI World Statistics Congress - Ottawa, Canada

Examining the relation between Climate change and labor force in Egypt


64th ISI World Statistics Congress - Ottawa, Canada

Format: CPS Abstract

Session: CPS 08 - Statistics and climate I

Monday 17 July 8:30 a.m. - 9:40 a.m. (Canada/Eastern)


The phenomenon of “climate change” is defined as an imbalance in the usual climatic conditions such as temperature, wind patterns, and precipitations that distinguish each region on Earth. The frequency and magnitude of long-term global climate changes have enormous impacts. On natural vital systems, increasing temperatures will also lead to a change in weather types such as wind patterns and the amount of precipitation and its types, in addition to the occurrence of several possible extreme weather events; this leads to environmental and social consequences. The temperature of the Earth's surface has recorded a steady increase during the past 100 years, ranging between 5.0 - 7.0 degrees. As human activities represented by the industrial and technological revolution led to an increase in the rate of gas emissions. Global warming and increasing its concentrations in the atmosphere.
This study examines the relationship between the major Labor force variables such as average working hours, average wages, furthermore health status represented in cases caused by death due to respiratory diseases, and three main climate variables Carbon dioxide emissions, Methane emissions, and Nitrous oxide emissions which potential effects of on the work and health in Egypt.
The study used a method based on the effect of environmental indicators and gas emissions on the Egyptian labor force. The main source of data in this study is the annual bulletin of employment, wages, and working hours statistics annual bulletin of deaths statistics, and World Bank data. This study uses time series data for the 1990-2019 period at an aggregate level in Egypt to access the relationship between climate variables and working conditions by using dynamic Regression. Moreover, analysis is also used to identify the most important variables of climate change that affect participation in the labor force and health.
Keywords: Climate change, gas emissions, labor force, inspiratory diseases