Foreign Direct Investment (FDI) has great impact on the development of a developing country like Bangladesh. The foreign investor seeks for new sources of investment where the developing country seeks for new sources of fund to develop the country. The FDI does not only bring sources of fund in a developing country but also new technology in a developing country. The FDI has the important role ...

This paper empirically analyzes the nonlinear relation between real GDP growth per capital and public debt by employing ADL test for threshold cointegration method. Empirical results show that there exists a threshold cointegration relationship between public debt and real GDP growth per capital. In case of the empirical results, cutting public debt could boost economic growth in the long-term....

This paper considers the similarity between two measures of air pollution/quality control, on the one hand, and widely used indicators of life quality and welfare, on the other. We have developed a multi-layer perceptron neural network system which is trained to predict the measurements of air quality (emissions of sulphur and nitrogen oxides), using Eurostat data for 34 countries. We used life...

This study deals with foreign direct investment and its impact on economic growth in the context of Bangladesh. The main objective of our study is to evaluate the impact of FDI on the economy of Bangladesh based on the secondary data covering year 2013-2017. This study considers FDI as a dependent variable and GDP, export and investment as independent variables and is used as the indicators of ...

There has been much discussion on the relationship between education and economic growth. A few studies have examined the increasing trend of female enrolment in educational institutions and economic growth. The objective of this paper is to empirically investigate four alternatives but equally plausible hypotheses. These are: i) GDP cause female enrolment proxies (the conventional view), ii) F...

applying nonlinear models to estimation and forecasting economic models are now becoming more common, thanks to advances in computing technology. artificial neural networks (ann) models, which are nonlinear local optimizer models, have proven successful in forecasting economic variables. most ann models applied in economics use the gradient descent method as their learning algorithm. however, t...

Introduction: Economic development and public welfare are some of macroeconomic goals for any country. Health economy is one of the parameters as criterion for action in evaluation of this important subject. The present study has been intended to investigate into the relationship among factors of health economy including total health expenditures (some percent of Gross Domestic Product GDP), li...

abstract: the main objective of this paper is to estimate the tourism impact on the economic growth of iranian provinces over the period of 2000-2010. for achieving this aim, the panel data approach has been used to the economic growth modeling. the empirical findings show that tourist receipts have a positive impact on the economic growth in iranian provinces. it was found that a 10 percent in...

This paper explores the impact of China’s local government debt on economic growth. This analysis, based on a panel of 31 provinces over 14 years, takes into account a broad range of economic growth determinants as well as various estimation issues including heteroskedascity and omitted variable. The empirical results suggest an inverse relationship between China’s local government debt and eco...