Assessing the spillover effects of research and development and renewable energy on CO(2) emissions: international evidence

The primary motivation of this paper is the lack of consensus on the impact of renewable energy (RE) and research and development (R&D) expenditure on CO(2 )emissions in the literature. Current literature has mostly ignored the spillover effect of R&D on CO(2 )emissions by increasing the intensity effect of technology, leading to biased results. Further, little is known about the impact of previous epidemics on CO(2 )emissions. This study fills these gaps by evaluating the spillover effects of RE and R&D on CO(2 )emissions in a global panel of 54 countries from 2003 to 2017. Using a two-way time- and spatial-fixed-effects panel analysis, we find both income-induced and scale effects of economic growth are present in our panel, though the scale effect is the dominant one. Our findings indicate that economic growth increases CO(2 )emissions at a decreasing rate, validating the Environmental Kuznets Curve hypothesis, and that urbanization and foreign trade worsen the environment. We also find that epidemic episodes before COVID-19 had a nonsignificant impact on CO(2 )emissions internationally. More importantly, our results confirm the presence of both the intensity and scale effects of R&D, with the intensity effect being the dominant one. We find overwhelming evidence that global R&D investment led to an overall (direct plus spillover) reduction of CO(2 )emissions, driven by its spillover effect, through two channels: RE and economic growth. Finally, we find that RE installations assist with reducing CO(2 )emissions internationally, though RE composition and state of R&D can lead to different findings. Our findings have significant policy implications for sustainable development. Our RE and R&D-spillover results support the policy recommendation of shifting to high-tech clean energy sources

Regional and spatial impacts of external and internal conflicts on ecological footprint: the case of Middle East and Africa

The economic and environmental structures of countries are greatly impacted by domestic and foreign conflicts. To promote sustainable development, it is crucial to understand the spatial impact of these conflicts on the ecological footprint of a region. With a focus on Middle Eastern and African countries, this paper investigates the impact of such conflicts on their environments, taking into consideration the unique spatial features of their ecological footprints. Using a spatial econometric model, the study assesses the contributions of ecological footprint determinants, particularly internal and external conflict indicators, across 46 Middle Eastern and African countries from 2001 to 2019. The results indicate that internal conflict can lead to increased pressure on natural resources and ecological systems in neighboring countries, while energy use and economic growth impose a significant ecological burden both domestically and abroad. While urbanization and resource rents were found to reduce the ecological footprint, trade openness was found to be nonsignificant. Conflicts such as war, foreign pressure, civil war, and civil disorder were found to have a significant negative impact on the environment, suggesting that reducing these conflicts would improve environmental circumstances. The findings highlight the need for conflict resolution measures to achieve a sustainable environment in the Middle Eastern and African regions and have implications for other countries facing similar issues

Assessing the environmental efficiency of OECD countries through the lens of ecological footprint indices

Environmental efficiency plays a crucial role in achieving sustainable economic development. This study aims to enhance the current understanding of dynamic environmental efficiency by using Data Envelopment Analysis (DEA) in conjunction with the ecological footprint index. This study evaluates 27 OECD countries' environmental performance from 2000 to 2017, employing net capital stock, labor force, and energy consumption as inputs, ecological footprint as undesirable output, and GDP as desirable output. We utilize 16 window Slack-Based Measurement DEA (SBM-DEA) models, each representing consecutive years within the observation period. Additionally, we adopt the Global Malmquist-Luenberger Index (GMLI) techniques to facilitate a simultaneous evaluation of the efficiency levels for each country. Our findings reveal that the United Kingdom and Lithuania were the most and least ecologically efficient countries among the 27 OECD countries, respectively. Over the 18-year observation period, all countries showed both progress and setbacks in environmental efficiency, with a modest overall improvement. Poland, Denmark, Slovakia, and Lithuania were the most improved countries in environmental performance, while Canada and Japan showed the most significant regressions in environmental efficiency. We highlight the need for policymakers to prioritize sustainable economic growth and consider ecological footprints when making economic decisions to enhance environmental efficiency in OECD countries. Our findings have can guide policymakers in designing effective policies and strategies to enhance environmental efficiency and promote sustainable economic development