International Journal of Economics & Management Sciences

By examination reporting methods to determine the effects of a pandemic on the health of the health of a nations’ or geographic entity’s’ population. Is a serious undertaking. The goal is to explain how measurement (or Metrics) can tend to be misleading which may lead to less than optimal decision making by health professionals and similar people in change of health decisions.

This study is an evaluation of impact of effective cargo distribution on Nigerian economy. The rate of unemployment, inflation and high cost of living in Nigeria is becoming alarming. The study is aimed to determine the rate of increase in GDP; effective cargo distribution in Nigeria economy; and the relationship between the dependent and independent variables as used in this study. The data collected on this study are from secondary source online World Bank annual reports. Standard deviation and regression analyses were relevant tools used for data evaluation. The findings of the study identified economic recession, inadequate production of goods, services and low capita income. The standard deviation of Nigeria GDP is below the arithmetic mean which implies that enough goods and services are not produced to spread out over the increasing population. There is effective cargo distribution to the Nigerian population, the standard deviation on GDP per capita shows a well spread out of the data points which signifies that goods and services are properly distributed to the increasing population. The regression analyses tables show that the independent variable explains 74% of the variance of the dependent variable. The f-value is 1.201, and the corresponding significance level is 0.290, hence, the independent variable influences the dependent variable. The regression equation given in this analysis shows that a unit increase in the independent variable will respond to increase in the dependent variable. Therefore, this can be used as a model for benchmark to improve economic growth and development in the Nigerian economy.

In Ethiopia, given the lower agricultural productivity, insistent food insecurity and massive poverty exists, there has been continued interest in the adoption of agricultural technology and its impact on productivity and poverty in the country. To increase agricultural productivity and thereby to reduce poverty, different empirical studies highly recommended that agricultural technology adoption. The main objective of this paper is to review the ex-post impact of agricultural technology adoption on poverty: Evidence from north Shewa zone of Amhara region, Ethiopia. From the study economic, institutional factors and human specific factors are found to be the determinants of agricultural technology adoption and the adoption of agricultural technology has a direct and significant impact on increasing household's consumption expenditure while also reducing household poverty. The paper recommends future studies focusing on increasing the access and adoptions of agricultural technologies so as to maximize the positive welfare effects of farm households.