The relationship between economic growth and environmental degradation has been one of the most studied topics especially in developing countries around the world. This paper intends to investigate whether the Environmental Kuznets Hypothesis holds for Bangladesh when the country is experiencing a phenomenal rate of economic growth amidst global climate challenges. By exploiting the data from 1981 to 2019 for Bangladesh, a developing country highly vulnerable to the threats posted by the recent global climate changes, the integration between CO2 emission and economic development has been explored and the validity of the Kuznets hypothesis has been checked through the lens of an Autoregressive Distributed Lag (ARDL) bound test process. The findings ascertain that there is a positive relationship between environmental degradation and economic growth of Bangladesh which represents a vice-versa trend in terms of Kuznets hypothesis. An increase in one kiloton of CO2 emission leads the growth of GDP by 0.016 per cent. Furthermore, the study also lists some of the policy approaches to help prepare Bangladesh to confront the impending consequences from climate changes and to promote environment friendly economic development.

The purpose of this study is to investigate the future growth path (growth rate) of Bangladesh. Bangladesh is one of the fastest-growing nations in the world. To secure sustainable and spontaneous economic development, contentious increasing economic growth is a prerequisite. In this paper, Autoregressive Integrated Moving Average (ARIMA) model is used to track down the future growth path of Bangladesh. Time series data from year 1972 to 2018 has been utilize to predict the economic growth for year 2019 to 2028. By using the ARIMA approach it has been found that next 10 years (2019-2028) the GDP growth of Bangladesh will be reduced from the current growth rate. The average GDP growth rate from the year 2019-2026 will be clustered near 5% and in the year 2027 it will be peak by 8.77% and the following year growth rate will be consolidated by 1.39%.

This study investigates the relationship between Foreign Direct Investment (FDI) and some macroeconomic variables such as Gross Domestic Product (GDP), Gross Capital Formation (GCF), Agriculture, Forestry, and Fishing (AFF), Industry, Import, Export, Inflation and Unemployment rate. Panel Data of 14 regional alliances countries from 1990-2018 were collected from The World Bank website. Robust regression models are used in this study. This research found that GDP had significant positive relationship with FDI in all regions except Arab League, EU and G7 countries. GCF had significant positive relationship with FDI in Arab League, BRI, GATT, NAFTA countries & negative relationship in APEC, G7 countries. AFF had significant positive relationship with FDI in BRICS, GATT countries & negative relationship in African Union, ASEAN, BIMSTEC, BRI, BRICS, SAFTA countries. Industry had significant positive relationship with FDI in African Union, BRI, NAFTA, OECD countries and negative relationship in BRICS, G7, G20 countries. Import had significant positive relationship with FDI in African Union, APEC, Arab League, ASIAN, BRI, G7, G20, GATT countries and negative relationship in BRICS countries. Export had significant positive relationship with FDI in BRICS countries and negative relationship in African Union, ASEAN, BRI, G20, GATT, OECD, SAFTA countries. Inflation had significant positive relationship with FDI in GATT, SAFTA countries and negative relationship in African Union, APEC countries. Unemployment rate had significant positive relationship with FDI in African Union, BRI, BRICS, EU, G20, GATT, OECD, SAFTA countries and negative relationship in ASEAN countries.