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We discuss the literature on natural resources and violent conflict. The theoretical literature is rich and ambiguous, and the empirical literature is equally multifaceted. Theory predicts that resource booms or discoveries may attenuate or accentuate the risk of conflict, depending on various factors. Regression analyses also produce mixed signals and point to a plethora of mechanisms linking resources to conflict. The empirical literature is gradually evolving from cross-country conflict models to micro-level analyses, explaining variation in local intensity of conflict. This transition has resulted in more credible identification strategies and in an enhanced understanding of the complex relation between resources and conflict.

Sustainable management of natural resources and green urbanization is crucial because it assists the use of resources wisely without unnecessary use and without affecting future generations’ needs. This research aims to examine the impact of the abundance of natural resources on China’s CO 2 emissions while moderating the roles of manufacturing value-added, urbanization, and permanent cropland from 1970 to 2016. This study developed a comprehensive empirical analysis, applied advanced econometric methodologies, and used the generalized linear model (GLM) and robust generalized estimating equation (GEE). Overall, the results conclude that natural resource abundance and permanent cropland are negatively associated with China’s CO 2 emissions. However, urbanization and manufacturing value-added are negatively related to those CO 2 emissions. Moreover, natural resource abundance and permanent cropland improve environmental sustainability while urbanization and manufacturing value-added deteriorate that environmental sustainability. It is suggested that policymakers should promote sustainable management of natural resources and encourage economic usage of natural resources to boost resilient ecosystems; shape sustainable places, lifestyles, and communities; and consume natural resources less. Additionally, policymakers should consider collaborating with landscape architects, urban planners, engineers, transport planners, ecologists, sociologists, physiologists, economists, physicists, and other specialists to develop green urban communities. The limitations of the study and directions for future research are discussed.

Natural resources can contribute to economic growth, employment, and fiscal revenues. But many resource-rich and resource-dependent countries are, in fact, characterized by disappointing growth rates, high inequality and wide-spread impoverishment, bad governance, and an increased risk of civil violence. A vast body of literature is devoted to the issue of intrastate resource conflicts. These studies can be broadly divided into two groups: studies which focus on resource scarcity and conflict, and studies that analyse the relationship between resource abundance and conflict. While studying resources and intrastate conflict is anything but new, we show that the main findings from the literature, which are often conflicting, are difficult to compare due to a lack of adequate, general definitions and measurements of scarcity, abundance, and conflict. After overviews of research on resource scarcity and conflict and on resource abundance and conflict, we discuss the central terminology and approaches to measuring independent and dependent variables (resources and conflict). Adapted from the source document.

Policymakers and authorities in Africa are often concerned about economic growth and stability owing to the long history of socioeconomic problems that have bedeviled the continent for years. However, increasing environmental degradation challenges in recent times beckons for adequate attention considering Africa’s vulnerability to climate change and environmental disasters. Thus, the current study examines the illustrious environmental Kuznets curve (EKC) hypothesis in a sectoral composition framework of fossil resources abundance among leading oil-producing African economies, including Algeria, Nigeria, Angola, and Egypt, using a combination of quantile regression (QR) approach and dynamic ordinary least square (DOLS) for data between 1995 and 2016. Based on the empirical results from the study, three main factors significantly increase environmental pollution through CO 2 emissions among the countries, namely: fossil energy consumption, income levels, and the shares of the manufacturing sector in the total gross domestic product (GDP). While income growth exacerbates pollution, the negative impacts of the income square were only significant at the lower and mid quantiles of the understudied periods in the QR estimates. Thus, the EKC hypothesis was not convincingly upheld for the countries as its validity demonstrates significant quantile effects. Furthermore, the tripartite causality nexus among real income, resource rent, and share of the service sector in GDP, which is unobserved in the share of the manufacturing sector, reflect the infamous Dutch disease argument among the resource-dependent countries. Hence, to promote environmental sustainability and address resource dependency toward the actualization of SDGs (1, 8, 12, and 13), the study recommends energy portfolios diversification alongside economic diversification.

Environmental difficulties have escalated due to global warming and climate change, posing substantial hazards to environmental quality. The member nations of the Paris club are particularly affected by these challenges due to their dependence on fossil fuels, resulting in increased carbon emissions. This study evaluates the influence of green innovation, energy transition, natural resource abundance, and economic growth on sustainable footprint in Paris Club countries—covering the years 1990 to 2022. This study has employed sophisticated novel econometric methods such as Augmented Mean Group and Canonical Cointegrtaion Regression for robustness. The finding discloses that green innovation and energy transition significantly assist Paris Club economies to achieve a sustainable footprint. In contrast, natural resource abundance shows adverce impact on sustainable footprint. The finding further unveils that an increase in per capita income leads to climate change and affirms the presence of the EKC theory in Paris Club countries. Policymakers are responsible for promoting and amplifying the adoption of green technologies to switch from fossil fuel to clean energy such as green energy. It also needs to encourage responsible production and increase resource allocation and efficiency.

Disturbances can facilitate biological invasions, with the associated increase in resource availability being a proposed cause. Here, we experimentally tested the interactive effects of disturbance regime (different frequencies of biomass removal at equal intensities) and resource abundance on invasion success using a factorial design containing five disturbance frequencies and three resource levels. We invaded populations of the bacterium Pseudomonas fluorescens with two ecologically different invader morphotypes: a fast-growing “colonizer” type and a slower growing “competitor” type. As resident populations were altered by the treatments, we additionally tested their effect on invader success. Disturbance frequency and resource abundance interacted to affect the success of both invaders, but this interaction differed between the invader types. The success of the colonizer type was positively affected by disturbance under high resources but negatively under low. However, disturbance negatively affected the success of the competitor type under high resource abundance but not under low or medium. Resident population changes did not alter invader success beyond direct treatment effects. We therefore demonstrate that the same disturbance regime can either be beneficial or detrimental for an invader depending on both community resource abundance and its life history. These results may help to explain some of the inconsistencies found in the disturbance-invasion literature.

The tendency of mammals to increase or decrease body size with respect to geography or time depends on the abundance, availability, and size of resources. This dependency accounts for a change in mass with respect to geography, including latitude (Bergmann's rule), a desert existence, and life on oceanic islands (the island rule), as well as in a seasonal anticipation of winter (Dehnel's phenomenon) and a tendency for some lineages to increase in mass through time (Cope's rule). Such a generalized pattern could be called the “resource rule,” reflecting the controlling effect of resource availability on body mass and energy expenditure. The correlation of mammalian size with geography and time reflects the impact of temperature, rainfall, and season on primary production, as well as the necessity in the case of some species to share resources with competitors. The inability of the constituent “rules” to account for all size trends often results from unique patterns of resource availability.

Boldness is an important trait in wild populations, and among-individual differences can link to individual fitness. The strength and direction of relationships between behavioral and life-history traits may however vary according to environmental conditions, where fluctuating selection acting on behavioral traits contributes to the maintenance of personality differences. We explored sources of variation in Arctic fox (Vulpes lagopus) boldness and investigated how temporal variation in the abundance of a main prey (lemmings) influences the relationship between fox boldness and reproductive success. We measured the behavioral reaction of individuals when escaping after handling, as an indicator of their boldness. We obtained 70 measurements from 42 individuals during two years of low lemming abundance and 2 years of high lemming abundance and assessed fox litter size as an indicator of reproductive success. First, individual characteristics (age, sex, mass) did not affect Arctic fox boldness, while individual identity generated variation in boldness. Next, we found that during years of low lemming density, individuals behaving boldly had more pups than those behaving less boldly, suggesting boldness may provide an advantage when lemmings are scarce by increasing hunting success or allowing access to alternative resources. However, all individuals tended to show high levels of boldness when lemming density was high, and all produced large litters. Temporal variation in the abundance of a main prey might therefore influence the relation between boldness and reproductive success of a predator, and if individuals consistently differ in their level of boldness, fluctuating selection could contribute to the maintenance of personality.Significance statementEffects of boldness on Arctic fox reproductive success: lemming abundance matters! When lemmings are scarce, foxes showing bold behavior have more pups than foxes showing less bold behavior. This highlights that under low prey availability, boldness may bring short-term benefits to predators, potentially because it allows to acquire more food. When lemmings are abundant, however, all foxes produce as many pups. This shows that environmental conditions such as prey abundance can influence the relation between behavior and reproductive success in a predator. Studying the context-dependency of relationships between behavior and reproductive success is critical to better understand ecological and evolutionary consequences of environmental change.

With the rising momentum according to the environmentalist voices seeking climate justice for more equity and the importance of encouraging environmental justice mechanisms and tools, in this perspective, the objective of this study is to analyze in depth the substantial role of natural resources abundance in the environmental inequality issue. For this purpose, this study adopted the eXtreme Gradient Boosting (XGBoost), LightGBM, Natural Gradient Boosting (NGBoost), Hybrid hybrid upper confidence bound-long short‐term memory-Genetic Algorithm (UCB-LSTM-GA), and the Shapley Additive Explanation (SAE) machine learning algorithms in the context of 21 emerging economies spanning the years 2001 to 2019. The empirical results reveal that natural resource abundance, foreign trade, and foreign direct investment inflows contribute all to higher levels of environmental inequality. However, higher levels of per capita income, gross fixed capital formation, and institutional quality contribute to lower levels of environmental inequality. Addressing climate justice holistically through an integrated supranational vision is significant since every step taken toward eradicating environmental racism matters.

This study investigates whether financial development dampens the negative impact of oil resource abundance on economic growth. Because of substantial cross-sectional dependence in our data, which contain a core sample of 63 oil-producing countries from 1980 through 2010, we use the common correlated effect mean group (CCEMG) estimator to account for the high degree of heterogeneity and drop the outlier countries. The empirical results reveal that oil resource abundance affects the growth rate in output contingent on the degree of development in financial markets. More developed financial markets can channel the revenues from oil into more productive activities and thus offset the negative effects of oil resource abundance on economic growth. Thus, better financial development can reverse resource curse or enhance resource blessing in oil-rich economies.