Environmental degradation resulting from the overexploitation of natural resources has become a pressing global concern. This review paper aims to investigate the relationship between natural resources and environmental degradation, with a specific focus on carbon dioxide (CO₂) emissions and ecological footprint (EF) as indicators. The study method involved an exhaustive search across prominent research databases, including ScienceDirect, Web of Science, Scopus, and Springer, using carefully defined search terms. A total of more than 160 research papers related to the search terms were obtained from the four sources of the database during the initial search. After applying sorting, filtering, and removing duplication and repetitions, we were left with 75 research papers that had a direct link to the topic under investigation. From these 75 papers, we further applied inclusion criteria to identify the most relevant studies for our review, resulting in the final inclusion of 50 research papers. The selected papers were thoroughly assessed for their methodological robustness, relevance, and adherence to the research questions. The review encompasses studies from diverse geographical regions and periods, shedding light on both positive and negative associations between natural resources and the two key indicators of environmental degradation (CO₂ emissions and EF). The review identified diverse findings in the literature, highlighting both positive and negative associations between natural resources and environmental degradation indicators (CO₂ and EF). The results of this comprehensive review will contribute to a better understanding of the complex interplay between natural resources and environmental sustainability and will offer valuable insights for policymakers and researchers alike.

This research investigates the effects of renewable (REC) and disaggregated non-renewable energy consumption (coal, oil, and natural gas) on CO2 emissions (CO2) in GCC countries, employing the STIRPAT model. The research also compares the impact of various non-renewable energy (NREC) sources to identify their contributions to CO2 emissions. Demographic factors like population and economic growth are considered main determinants of CO2. Panel data econometric methods are used, including diagnostic tests and unit root tests, to found long-run relationships among the variables. The study reveals significant positive associations between coal, natural gas, oil consumption and CO2, with oil having the highest impact. Conversely, REC shows a significant negative correlation with CO2. Economic growth and population are also linked to increased CO2. The findings emphasize the need for strategies promoting renewable energy usage, energy efficiency, public transportation, carbon pricing, and research in green technologies to alleviate CO2 and enhance sustainable development in the GCC countries.

This study investigates the relationship between Foreign Direct Investment (FDI) inflows and economic growth at sectoral levels in Bangladesh, employing a panel study framework. Utilizing sectoral-level panel data spanning six sectors from 2007–08 to 2018–19, the analysis is conducted using Panel Vector Error Correction Model (Panel VECM). Results from panel unit root tests confirm that all variables are integrated of order one I (1), indicating stationarity. The Pedroni panel co-integration test further supports the presence of co-integration among the variables. Notably, the Panel VECM reveals evidence of a unidirectional causal relationship from Real Gross Domestic Product (RGDP) to Real Foreign Direct Investment (RFDI) across all six sectors of Bangladesh. The findings underscore the significance of formulating pragmatic policies and implementing them effectively to attract FDI across sectors, thereby contributing to the overall economic growth of Bangladesh.