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This paper aims to question the capacity of firms embedded in global value chains to manage their natural resources in a sustainable way. Thus, it offers guidelines for more sustainable value chains.

While business strategies have focused on optimizing natural resource exploitation and on constructing global value chains to face sustainability issues, this study first explains why these strategies are not effective in preventing natural resource depletion. Second, it offers a model for anticipating resource depletion. The cut flower industry constitutes a central case to explain the model. Two other industry cases complement the demonstration.

To anticipate natural resource depletion and thus improve industry sustainability, firms must shift from the exploitation of endangered natural resources to the use of alternative local ones. This shift, however, encourages firms to reconstruct value chains and rethink how they create value within these new value chains. It also has an impact on firms’ growth strategy: they must replicate value chains on a local scale instead of taking part in global value chains.

The findings rely on illustrations from the cut flower, fishing and textile fiber industries. Generalization to other industries may strengthen the argument.

This study offers a model of sustainable growth for firms willing to anticipate natural resource depletion by offering a shift in value chains. It consists of exploiting alternative natural resources and of rethinking the value offered to consumers. Thus, it goes against current models that merely focus on optimizing natural resource exploitation within global value chains.

The MENA region is very rich in terms of natural resources. At the same time, the MENA region has also been a victim of terrorism during the last few years. This study is an attempt to investigate whether there is any relationship between natural resources and terrorism in the MENA region.

We have focused on 15 resource-rich countries located in the MENA region for the period 2002–2019. We have applied appropriate econometric techniques and have also controlled for other dominant determinants of terrorism while studying the relationship between these two variables.

The results provide solid evidence in favor of the hypothesis that natural resources encourage terrorism. We find that natural resources have positively impacted terrorism. Besides, the natural resources, other factors such as per capita GDP, trade openness, political stability, domestic investment and government expenditures have negatively impacted terrorism. Moreover, the findings suggest that FDI and corruption are irrelevant in explaining terrorism while the findings regarding employment level and terrorism are unexpected. The obtained results are robust to alternative estimating methodologies.

The results have serious policy implications for the MENA region. The MENA region in general is suggested to devise appropriate policies regarding their huge natural resources so as to tackle the terrorism problem effectively. Similarly, paying favorable attention to trade liberalization, political stability, government expenditures, investment, rising income of the population in the presence of macroeconomic stability in the form of lower inflation would also help the MENA region to eradicate the problem of terrorism.

The available literature has largely ignored the role of natural resources in explaining the problem of terrorism. Therefore, this study has provided relatively new evidence regarding the determinants of terrorism.

The purpose of this paper is to analyze the effects of corruption on economic growth, human development and natural resources in Latin American and Nordic countries.

Using the hierarchical prior of Gelman et al. (2003), a Bayesian panel Vector AutoRegression (VAR) model is estimated. In addition, two alternative approaches are considered, namely, a panel error correction VAR model and an asymmetric panel VAR model.

The results reveal some relevant contrasts: (1) in Latin America there is support for the sand the wheels hypothesis in Bolivia and Chile, support for the grease the wheels hypothesis in Colombia and no significant impact of corruption on growth in Brazil and Peru, while in Nordic countries the response of growth to shocks in corruption is negative in all cases; (2) corruption negatively affects human development in all countries from both regions; (3) corruption tends to spur natural resources sector in Latin American countries, while it is detrimental for natural resources sector in Nordic countries.

The panel VAR approach uses recursive scheme identification. The authors have analyzed robustness using alternative ordering of the variables. The authors also have followed two alternatives suggested by the Referee: a panel error correction VAR model and a panel asymmetric VAR model. However, another more sophisticated identification scheme could be used. Also other variables could be introduced in the VAR model.

Regardless of the issue of the “grease” vs the “sand the wheels” debate, corruption should be reduced because it is anyway harmful for human development. The differences in the results for Latin American and Nordic countries show that the effects of corruption have to be assessed considering the different institutional and economic conditions of the countries analyzed.

Governments should seek to reduce corruption because, despite corruption can have mixed effects on economic growth in some contexts, it is anyway harmful for human development. Besides, the finding that in some Latin American countries more activity in the extractive industries is generated by means of corruption confirm the association between corruption and extractivism found by Gudynas (2017) and can explain why there are issues of environmental damage and social conflict linked to natural resources in those countries.

The present study contributes to the literature by presenting evidence on the effects of corruption on growth, human development and natural resources sector in Latin American and Nordic countries. It is the first study on economics of corruption which directly compares Latin American and Nordic countries. This is relevant because there are important differences between both regions since Latin American countries tend to suffer from widespread corruption, while the Nordic ones have a high level of transparency. It is also the first in using a Bayesian panel VAR approach in order to evaluate the effects of corruption.

The purpose of this paper is to investigate the foreign direct investments (FDI)-growth nexus and the impact of natural resource abundance in the host country on the FDI-growth nexus.

For a large data set of 104 countries for the period 1996-2015, Arellano and Bond’s GMM estimation method is applied to investigate the impact of FDI inflow on economic growth and the role of the natural resource sector on the FDI-growth relationship.

The paper found a positive and significant effect of FDI inflows on economic growth of the host country. However, the impact of FDI inflows on economic growth changes with the changes in the size of the natural resource sector. The estimated positive impact of FDI inflows on economic growth declines with the expansion in the size of natural resources. Beyond a certain limit, a further expansion in the size of natural resource sector will lead to a negative effect of FDI on economic growth.

The paper found a positive and significant impact of FDI inflows on economic growth of the host country. However, the impact of FDI inflows on economic growth changes with the changes in the size of the natural resource sector. The estimated positive impact of FDI inflows on economic growth declines with the expansion in the size of the natural resources. Beyond a certain limit, a further expansion in the size of the natural resource sector will lead to a negative effect of FDI on economic growth. The same analysis is repeated for groups of countries divided into different income groups. FDI inflows are found to have significant growth enhancing role in all three groups of countries. However, FDI inflows-induced growth was found to be more pronounced in the middle- and low-income countries compared to high-income countries. Further, FDI-induced economic growth is slowed down in low-income and middle-income countries by the increase in size of the natural resource sector. While in high-income countries, the size of the natural resource sector has no significant role on the FDI-growth nexus.

While countries use their natural resource sector as an instrument to attract FDI into the countries, low- and middle-income countries face the dilemma of experiencing the resource curse in the form of watered down FDI-induced growth. Therefore, low- and middle-income countries need to try at the same time to attract FDI into the non-resources sector to keep the relative size of the natural resource sector low as to avoid hampering the FDI-induced economic growth. High-income countries, on the other hand, do not experience the FDI-induced growth hampering impact of the natural resource sector. Therefore, high-income countries should attract FDI into the countries regardless of the sector attracting the foreign investments.

The paper is part of the author’s PhD research and is an original contribution.

This paper aims to examine the effect of natural resources on the national productivity of high and low globalized economies in Africa.

This study uses two-step generalized method of moments dynamic panel data of 30 African economies between 2006 and 2016 to achieve the purpose of the study.

The results suggest that natural resources promote productivity within African economies regardless of the level of globalization. However, while natural resources have an overall enhancing effect on national productivity in both high and low globalized economies, the enhancing effect varies according to the forms of globalization. The findings of this study suggest that globalization can alter the nexus between natural resources and national productivity in Africa. The results imply that African Governments and their related policymakers can rely on globalization to promote the effect of natural resources on productivity of African economies.

This result is good and welcoming news, especially when natural resources in Africa have been described by prior studies as a curse to the continent. While globalization can be a tool for policymakers in Africa to deploy the positive effect of natural resources on national productivity, they might as well be careful as to which form of globalization they pursue, given that different forms and different levels or extent (high or low) of globalization yields different results on the nexus between natural resources and national productivity.

To the best of the authors’ knowledge, this study is the first of its kind to examine how natural resources affect national productivity in high and low globalized economies, especially in Africa.

The purpose of this paper is to explore the implications of natural resource scarcity (NRS) for companies’ supply chain strategies.

Drawing on the resource dependence theory (RDT), a conceptual model is developed and validated through the means of exploratory research. The empirical work includes the assessment of qualitative data collected via 22 interviews representing six large multinational companies from the manufacturing sector.

When the resources are scarce and vitally important, companies use buffering strategies. Buffering and bridging strategies are preferred when there are a few alternative suppliers for the specific resource and when there is limited access to scarce natural resources.

The research focuses on large multinational manufacturing companies so results may not be generalised to other sectors and to small- and medium-sized firms. Future research needs to examine the implications of NRS for organisational performance.

This research provides direction to manufacturing companies for adopting the best supply chain strategy to cope with NRS.

This paper adds to the body of knowledge by providing new data and empirical insights into the issue of NRS in supply chains. The RDT has not been previously employed in this context. Past studies are mainly conceptual and, thus, the value of this paper comes from using a qualitative approach on gaining in-depth insights into supply chain-related NRS strategies and its antecedents.

With heterogeneous findings dominating the growth and natural resources relations, there is a need to explain the variances in Africa's growth process as induced by robust measures of factor endowments. This study used a comprehensive set of data from the updated database of the World Bank to capture the heterogeneous dimensions of natural resource endowments on growth with a particular focus on establishing complementary evidence on the resource curse hypothesis in energy and environmental economics literature in Africa. These comprehensive data on oil rent, coal rent and forest rent could provide new and insightful evidence on obscure relations on the subject matter.

This paper considers the panel vector error correction model (PVECM) procedure to explain changes in economic growth outcomes as induced by oil rent, coal rent and forest rent. The consideration of the PVECM was premised on the panel unit root process that returns series that were cointegrated at the first-order differentials.

The paper found positive relations between oil rent, coal rent and economic development in Africa. Forest rent, on the other hand, is inversely related to economic growth in Africa. Trade and human capital are positively related to economic growth in Africa, while population growth is negatively associated with economic growth in Africa.

Short-run policies should be tailored towards the stability of fiscal expenditure such that the objective of fiscal policy, which is to maintain the condition of full employment and economic stability and stabilise the rate of growth, can be optimised and sustained. By this, the resource curse will be averted and productive capacity will increase, leading to sustainable growth and development in Africa, where conditions for growth and development remain inadequately met.

The originality of this paper can be viewed from the strength of its arguments and methods adopted to address the questions raised in this paper. This study further illuminated age-long obscure relations in the literature of natural resource endowment and economic growth by taking a disaggregated approach to the component-by-component analysis of natural resources factors (the oil rent, coal rent and forest rent) and their corresponding influence on economic growth in Africa. This pattern remains underexplored mainly in previous literature on the subject. Many African countries are blessed with an abundance of these different natural resources in varying proportions. The misuse and mismanagement of these resources along various dimensions have been the core of the inclination towards the resource curse hypothesis in Africa. Knowing how growth conditions respond to changes in the depth of forest resources, oil resources and coal resources could be useful pointers in Africa's overall energy use and management. This study contributed to the literature on natural resource-induced growth dynamics by offering a generalisable conclusion as to why natural resource-abundance economies are prone to poor economic performance. This study further asks if mineral deposits are a source or reflection of ill growth and underdevelopment in African countries.

This study investigates if wealth from natural resources impacts child health in developing countries.

The methodology includes testing the effect of rents from natural resources on under-five mortality rates using a multifactor health production model for 57 developing nations. The panel estimation procedure was applied to data covering 2002 to 2017, disaggregated by non-renewable and renewable resources and low and medium human development countries.

The results provide strong evidence that wealth from total natural resources has not been associated with reductions in under-five mortality rates. However, disaggregation of the sample countries by natural resource constituents revealed that only the wealth of non-renewable is strongly inversely associated with under-five mortality rates. Further disaggregation of countries by the low and medium human development constituents revealed a statistically insignificant negative correlation of non-renewable resources wealth and under-five mortality in the low human development countries. In contrast, the results of the medium human development countries revealed that wealth from natural resources (both non-renewable and renewable) had not been associated with any reductions in under-five mortality rates. The results also confirm that immunization levels, nutrition, private spending on health care, air quality, urban living and countries closer to the equator are other strong correlates of under-five mortality rates in low human development countries.

The findings here have implications for the timely achievement of the United Nations Sustainable Development Goal 3 (to reduce under-five deaths to around 25 per 1,000 live births by 2030). Governments ought to ensure that incomes from the extractive sector are aligned in forms that promote and feed into improving child health wellbeing.

This research creates a shift from aggregate health wellbeing research agenda to investigate how specific aspects of human development can be linked to wealth from non-renewable and renewable natural resources in developing nations. It adds new knowledge and provides health and natural resources policymakers opportunities to combine their policies and synergize efforts to improve child health outcomes.

This study investigates the impact of natural resources on wealth inequality as a first attempt on a panel of 45 developed and developing countries.

Using the generalized method of moments (GMM), the results provide strong evidence that natural resources increase wealth inequality within a linear empirical framework.

These results are robust to the use of alternative natural resources and wealth inequality measures. Additionally, a nonlinear analysis provides evidence of an inverted U shaped relationship between natural resources and wealth inequality. The net effect of enhancing natural resources on wealth inequality is positive and building on the corresponding conditional negative effect, the attendant natural resource thresholds for inclusive development are provided. It follows that while natural resources increase wealth inequality, some critical levels of natural resources are needed for natural resources to reduce wealth inequality.

To the best of knowledge, this is the first study to assess how enhancing natural resources affect wealth inequality.

The purpose of this paper is to investigate the implications of supply chain strategies that manufacturing companies can use to minimise or overcome natural resource scarcity, and ultimately improve resource efficiency and achieve competitive advantage. The relationship between resource efficiency and competitive advantage is also explored.

The proposed research model draws on resource dependence theory. Data were collected from 183 logistics, purchasing, sustainability and supply chain managers from various manufacturing companies and analysed by applying the partial least squares structural equation modelling technique.

The results indicate that both buffering and bridging strategies improve resource efficiency; however, only bridging strategies seem to lead to firm’s competitive advantage in terms of ownership and accessibility to resources. The relationship between resource efficiency and competitive advantage is not supported.

Future research could confirm the robustness of these findings by using a larger sample size and taking into account other supply chain members.

This research provides guidance to managers faced with the growing risk of resource scarcity to achieve a resource efficient supply chain and an advantage over competitors.

Studies have explored the appropriate strategies for minimising dependencies caused by the scarcity of natural resources in the field of supply chain management; however, there is limited empirical work on investigating the impact of these strategies on resource efficiency and competitive advantage.