Rapid industrialisation has cost India its environmental health. Economic and environmental performances are complimentary for development because the environment provides all the natural resources necessary for the production of goods and services.
Granger causality is a method to examine the causality between two variables in a time series. “Causality” is related to cause and effect notion, although it is not exactly the same. It is a statistical concept which is based on the prediction.
The present article shows extensions of ARCH, i.e. GARCH model in STATA. Like ARCH model, ARCH extensions like Generalised ARCH (GARCH) model too need squared residuals as determinants of the equation’s variance.
The purpose of this article is to empirically examine the impact of FDI inflows on the rate of inflation in India. Therefore this article considers the relation between FDI and another important macroeconomic variable namely rate of inflation.
The aim of this article is to empirically analyse and investigate the impact of FDI inflows on GDP in India after establishing long run association and causality between these two variables.
Economic performance of a country is measured by economic growth and the most commonly used indicator for economic growth of a country, its Gross Domestic Product (GDP) or Gross National Product (GNP). GDP is the aggregate value of all final goods and services produced in the domestic territory of an economy or a country in a certain period of time.
Air pollution is one of those six types of pollution that contaminates the environment. It is a major contributor to the ongoing global issue of climate change. However, there are different indicators of air pollution.
It leads to industrial and infrastructure development which in turn create job opportunities. However, these improvements sometimes come at the cost of a decline in the sustainability of the region if the adverse effects of economic expansion go unchecked for a long period of time.