Abstract
The theory of Environmental Daly Curve (EDC) hypothesis has received little attention from researchers and academicians. Coupled with limited literature and scare empirical studies, the current study aims to fill the research gap by statistically testing the EDC hypothesis for the relationship between carbon emissions and economic growth in less industrialized nations. The research approach is deductive; the research design is explanatory; while the research method is quantitative. The target population represents 155 nations across the globe. From this number, a sample of 75 countries with high air pollution would constitute the sample size. The sample design would be a purposive sampling method since the selected countries must meet certain criteria. The source of data would be primarily secondary data. Data is gathered from World Bank through the database of World Development Indicators. The analysis method is an observation of cross sectional panel data over 31 years from 1990 to 2020. The statistical modeling methods (cross-sectional dependency test, panel unit root, panel cointegration, causality test, CCEMG, DOLS) are performed with the application of statistical softwares (Microsoft Excel, EViews, Stata).
Presenters
Francis AyensuLecturer, School of IT Business, Ghana Communication Technology University, Jiangsu, Ghana
