A survey was carried out following questionnaire to estimate the status of post-harvest losses of potato from potato retailers in different markets of Comilla, Dinajpur, Mymensingh and Rangpur district. Basic information of potato retailers such as age, gender, educational qualification, marketing experience, ownership and their basic knowledge of stored variety, problems associated in stored potato, storage conditions, causes of losses of stored potato, common storage diseases of potato, possible reasons for rotting of potato in storage, primary source of potato, care of stored potato, most favorable and unfavorable period for potato storage were assessed by direct interview. The average incidence of soft rot, dry rot and scab was found 2.54%, 4.44% and 1.85%, respectively in November, 2019. The total losses due to post-harvest diseases in these markets were found 8.83%. Meanwhile, the total loss of potato due to physical abnormalities was recorded 13.78%. The highest physical abnormalities were observed green potato (6.20%) followed by cut potato (4.27%) and pitted potato (2.10%). This study was a preliminary step for the investigation of the idea of the retailers of the selected districts about the status, problems they faced for potato storage in markets. This was the first time survey from potato retailers of different districts in Bangladesh and estimation of potato loss in the market of Bangladesh.

The present study attempts to estimate the long-run relationship between health and environmental quality indicators along with other explanatory variables by using a balanced panel data for 20 developing Asian countries. Levin-Lin-Chu (LLC) and Im, Pesaran and Shin (IPS) unit root tests are employed for analyzing the panel unit root properties of data. Dynamic Ordinary Least Square (DOLS) is used to obtain the long-run estimates. The Carbon Dioxide (CO2) emission, Sulphur Dioxide (SO2) emission, and Particulate Matter (PM2.5) concentrations are used as environmental quality variables. Three models are estimated to assess the relationship between environmental quality and health. Life expectancy at birth is used as a proxy of health. The environmental quality indicators are negatively associated with health status showing an adverse effect on health. This means that air pollution is worsening human health in developing Asian countries. Per capita GDP is positively associated with health indicators in all models. Moreover, the urban population, access to improved sanitation facilities, and immunization are positively related to population health. These all variables are positively contributing to the improvement in public health. However, the effect of urban population is insignificant in the case of PM2.5. The effect of health expenditures on life expectancy is positive and statistically significant in the case of CO2, SO2 emissions, and PM2.5 concentrations. It shows a positive contribution of health expenditures towards improving life expectancy.