Asymmetrical analysis of economic complexity and economic freedom on environment in South Asia: A NARDL approach.

The environment has become a growing concern for many countries, as pollution and other environmental degradation can harm human health, economic growth, and overall well-being. This paper probes into the asymmetrical implications of economic complexity and freedom on ecological quality in four South Asian countries from 1995 to 2019. Using Nonlinear Autoregressive Distributed Lag methodology approach, our findings indicate that carbon dioxide (CO2) emissions are intensified by economic freedom both in the long and short term, while negative and positive shocks to economic complexity increase CO2 emissions in the long term. However, a negative economic complexity shock increases CO2 emissions, whereas a positive shock has the opposite effect in the short run. Moreover, our results confirm the validity of the environmental Kuznets curve (EKC) hypothesis in the long run. Furthermore, we find that renewable energy usage and the interaction of FDI and renewable energy usage can help reduce environmental damage in both the short and long run. The findings suggest that countries should focus on attracting foreign direct investment that promotes the use of renewable energy. Additionally, policies aimed at encouraging renewable energy use should be implemented. It is important to note that as economic freedom and complexity increase, there is a corresponding increase in CO2 emissions. Therefore, South Asian policy makers are advised to prioritize the reduction in fossil fuels, the promotion of energy-saving technologies and efficient production, and trade that encourages the transition of renewable energy sources to reduce CO2 emissions.

Assessing the spillover effects of research and development and renewable energy on CO2 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 CO2 emissions in the literature. Current literature has mostly ignored the spillover effect of R&D on CO2 emissions by increasing the intensity effect of technology, leading to biased results. Further, little is known about the impact of previous epidemics on CO2 emissions. This study fills these gaps by evaluating the spillover effects of RE and R&D on CO2 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 CO2 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 CO2 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 CO2 emissions, driven by its spillover effect, through two channels: RE and economic growth. Finally, we find that RE installations assist with reducing CO2 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.

A systematic review of geographic information systems based methods and criteria used for electric vehicle charging station site selection.

Many studies have incorporated particular models with various methods and algorithms to resolve the site selection problem for electric vehicle charging stations (EVCS). This paper systematically reviews research that evaluates geographic information systems (GIS) based EVCS location techniques and the variables used for decision making. We classify and characterize those techniques and variables to determine important linkages within the literature. A variety of databases were referenced to extract research published from 2010 to March 2023 pertinent to this specific location optimization problem, and 74 papers were selected after thorough evaluation. The models used in each paper were examined along with the methods for selecting variables and ranking alternate locations. Site selection for EVCS requires a multi-criteria decision making approach to meet the sustainability, efficiency, and performance goals of communities adopting electric vehicle mobility. Our results indicate that map algebra and data overlay methods have been used more frequently with GIS-based analysis than other techniques, while geographic and demographic variables are commonly the most significant site selection characteristics. The reviewed methods have most often been applied to urban locations; however, the transfer of these techniques to a rural EVCS site selection problem has been rarely explored in the current literature. This research assessment contributes relevant guidance for the application of methodologies useful in policymaking and provides recommendations for future research based on these findings.

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.

Assessing economic growth-energy consumption-CO2 nexus by climate zone: international evidence.

The energy economics literature lacks a consensus on the short- and long-term linkages along with the Granger causality direction between economic growth and energy consumption. This paper examines the relationships between economic growth, fossil fuel and renewable energy consumption, CO2 emissions, temperature, and population in 56 countries from 1990 to 2019. We contribute to the literature by uniquely grouping countries by climate zone (i.e., tropical, arid, temperate, and continental) following the Köppen-Geiger climate classification approach and employing a panel structural vector autoregressive model (P-SVAR) to study these relationships. In addition, rather than mistakenly using a single energy consumption variable, we divide it into two categories: fossil fuel and renewable energy consumption. Our findings indicate that temperature change has the most negligible impact on economic growth, while CO2 and renewable energy have the two most significant effects. Our Granger causality tests support all four hypotheses (growth, feedback, conservative, and neutral) that describe the relationship between economic performance and energy consumption, indicating the level of difficulty in recommending an overarching energy policy worldwide. We find that conservative energy consumption and clean energy policies that avoid CO2 emissions may benefit the selected countries' economic prosperities.

Regional Effects of Maternal Mortality Determinants in Africa and the Middle East: How About Political Risks of Conflicts?

Background: As per the United Nations Women data, the maternal mortality rate in war-affected countries is critical and more than 800 million people live in war-affected countries (ICRC). External and internal conflicts such as foreign pressure, war and cross-border, civil disorder, terrorism, and civil war, are characteristics of Middle Eastern and African countries. Therefore considering the rapid increment of political risks and internal and external conflicts in Africa and the Middle East during the last decade, and considering warfare as a key contributor to maternal mortality; This paper seeks to evaluate the factors that have caused significant rates of maternal mortality in Middle Eastern and African countries by emphasizing the contributions of a number of political risk aspects as Civil Disorder Index, Terrorism Index, Civil War Index, Foreign Pressures Index, Cross-Border Conflict Index, War Index along with other socio-economic factors. Method: Data were collected from forty-six countries during 2011-2016 to explore the regional contributions of political risk aspects to the maternal mortality rate through spatial approaches. Results: It was found that GDP per capita, energy intensity, and urbanization strongly impacted maternal mortality. Also, it was observed that natural resource rents and economic growth significantly influenced the reduction of mortality by expanding healthcare services. The urban expansion was found to have elevated maternal mortality. A majority of external and internal conflicts reduced the orientation of production toward healthcare services and thus raised maternal mortality. On the other hand, war and cross-border were found to pose opposite impacts. Conclusion: The findings revealed that political risks arising from terrorism, foreign pressure, and war in the adjacent countries would elevate the rate of mortality in the original country. This implies the spillover impacts of regional conflicts on maternal mortality elevation at the regional scale.JEL Classification Codes: C23; I10; I18; N37.

Assessing the spatial effects of economic freedom on forest-products, grazing-land, and cropland footprints: The case of Asia-Pacific countries.

The literature has shown that economic freedom yields higher economic growth. However, the nexus between economic freedom and the environment in a world of spatial dependency is unclear. Using data from a panel of seventeen Asia-Pacific countries from 2000 to 2017, we investigate the direct and spillover effects of economic freedom (as measured by the annual indexes developed by the Heritage Foundation) and other variables on the ecological footprint of three land-cover types: cropland, forest products, and grazing land. Diagnostic tests confirm the existence of spatial-interaction effects in forest products and grazing land but reject it for cropland. Using a spatial Durbin panel model, we find that the intensity of energy use has a significant impact on the environmental footprint of all resource types. We also confirm the environmental Kuznets curve hypothesis for forest products and grazing land but not cropland. Unlike previous researchers, we find cropland footprints are unaffected by natural resource rents. We also find that the tax burden is the only economic freedom indicator with a positive and significant impact on all three environmental footprints. Our findings suggest that more investment freedom reduces environmental pressure on cropland and forest-products footprints but has a nonsignificant effect on the grazing-land footprint. Further, financial freedom reduces the forest-products footprint and increases the grazing-land footprint. Property rights, the tax burden, and business freedom increase environmental pressure while government spending lessens grazing land's ecological footprint. Our indirect and overall impact analyses suggest that all types of economic freedom reduce environmental strain in our panel. This research points to the importance of enacting environmental regulations in a way that guarantees ecological sustainability and economic development.