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The discovery of crude oil in a number of Sub‐Saharan African countries resulted in resource expansion that tends to have great implications for the socioeconomic development of the region. Deep poverty and low standards of living are still prevalent, in spite of the oil boom. On this premises, a panel study of six Sub‐Saharan African countries is undertaken for the period between 1983 and 2020. The goal is to identify the best ways to reduce overdependency on resource (crude oil) and enhance the socioeconomic situation of the selected countries. The linear (augmented mean group) approach and nonlinear (nonlinear autoregressive distributed lag) with relevant variables (Agricultural sector, crude oil price, government expenditure, official exchange rate, foreign direct investment, inflow, GDP, and trade openness) are employed in this study for the selected countries. The findings from both Augmented Mean Group and Nonlinear Autoregressive Distributed Lag and Granger causality attest to the resources curse on the socioeconomic development of the six countries through the contraction of their respective agricultural sectors. Crude oil price (proxy for the oil sector), trade openness, and real exchange rate are in particular found to have a negative influence on the agricultural sector. However, direct foreign investment in the agricultural sector in oil‐rich economies in Sub‐Saharan Africa is having a positive impact. This can be linked to over‐dependence on rising oil exports, which tends to crowd out non‐oil (agricultural) exports. Hence, a resource‐based policy targeted at diversification of the economies through revenue generated from crude oil is recommended. [ABSTRACT FROM AUTHOR]

This is a study of Norway's sustainable environment development amidst the interactions of natural resources, external investment (FDI) and economic development. Much has been done with respect to the study of Norway's economic performance in relation to the link between the natural resources and FDI with little emphasis on the environmental performance of the resource‐based economy. Also, Norway is classified as among the top countries in Europe with a greater percentage of adopting renewable energy, and no study has done a critical review of the impact of natural resources and FDI which are part of drivers of carbon emission that can counter the positive impact of renewable energy towards the Norway's sustainable environment. On this basis, this study adopts a time series data of Norway, 1970 to 2018 to study its environmental performance. Approaches such as structural break analysis, Autoregressive Distributed Lag (ARDL)‐bound testing and Granger causality estimations are utilised in this study for in‐depth analysis of the subject. Findings from ARDL confirmed a positive association between fuels and carbon emission, other indicators (economic growth and natural resources) are improving the quality of the country's environment. FDI even though shows positive sign remains insignificant in impacting the environmental performance in the short run reverted to a significant negative relationship with carbon emissions. This confirms the pollution halo hypothesis and rejects the pollution haven hypothesis (PHH) for Norway, and this trend can be sustained with the constant implementation of environmental rules in the country. Granger test confirms, a one‐way transition from fossil fuels to carbon emission, from carbon emission to growth, and from economic growth to fossil fuels. Also, a two‐way transmission is found between fossil fuels and FDI. These findings from Granger causality are consistent with the findings from ARDL, hence, two ways interactions between FDI and fossil fuel energy source consumption from Granger causality and the two variables (fossil fuels and FDI) are seen impacting on Norway's environmental performance. Findings from the estimates suggest that natural resources and FDI are mitigating pollution, hence, Norway's policy is expected to be resources and FDI driven in sustainable environment development. [ABSTRACT FROM AUTHOR]

This study examines the Indian inclusive sustainable development. India ranked third in global carbon emissions amidst its economic performance. This tells more about one-sided sustainable development policy of the country. With this trend of development anchored only on Indian economic activities, we consider it important to research the economy with instruments (such as technological innovation, foreign direct investment (FDI), and agriculture) that are unique to the country. India's data from 1980 to 2019 are applied to this study with two models for testing both economic and environmental developments. We utilized two scientific methods (non-linear autoregressive distributive lag (NARDL) and dynamic ordinary least squares (DOLS)) to demonstrate both symmetric and asymmetric technical analyses. Findings from NARDL show that technological innovation and FDI are mitigating carbon emissions, while economic growth and agriculture are increasing carbon emissions thereby impacting negatively the environment. Also, the result from the economic model confirms that all variables are impacting favorably on economic development except carbon emission. The findings from DOLS support the findings from NARDL. The result confirmed that India is yet to attain inclusive sustainable development, however, it is evident that with the right policy framed on tech innovation and FDI, the country could attain balanced sustainable development. Having seen, the dual capacity of both technological innovation and FDI toward strengthening both the economy and environment, it is worthy to consider these instruments as among the sustainable policies [ABSTRACT FROM AUTHOR]

This study examines India's sustainable development with respect to economic and environment development. India is among the largest emerging countries with good economic development prospects. Nevertheless, its environmental development is poor coupled with its position as third in global carbon emission ranking. This peculiarity of Indian economy with increasing emissions has prompted the need for this research into the country's sustainability. Considering the leading role of government in curbing the environmental problems, this study aims to ascertain the India's sustainable development by investigating the role of institutional quality in mitigating its carbon emissions. India's data of 1996Q1 2018Q4 are utilized to investigate the country's sustainable development. Short-run and long-run autoregressive distribution lag (ARDL) dynamic and bound test for cointegration with Granger causality are adopted in this study for better insight on India's sustainable development. Findings from ARDL revealed positive impact of Institutions on environment quality through reduction in carbon emission; however, effect of foreign direct investment (FDI) and fossil fuels shows negative effect on India's environment through increase in carbon emissions. Findings from Granger causality exposed direction of impacts among the variables; hence, nexus is formed among the variables in determining the cause of carbon emissions and environmental damage. The findings from Granger causality give support to the findings from the ARDL analysis pointing towards the need to frame policies capable of mitigating carbon emission and enhances energy transition through institutions. [ABSTRACT FROM AUTHOR]

This study seeks to investigate the possibility of achieving Chinese climate and sustainable development goals (SDGs) with technological innovations and renewable energy policies. Currently, China is ranked first in global emissions. Hence, we utilized Chinese data of 1996Q1 2018Q4 to investigate the policy implication of technological innovation and renewal energy towards its climate goals. Economic development, technology, energy and environmental policies are incorporated in our study for clear insight on the impact of technology and renewable energy on China's climate goals. We adopt different scientific approaches (structural break, bound method of co‐integration, autoregressive dynamic lag‐ARDL dynamics and granger causality test) for both quantitative and theoretical analyses. Our discussions and policy inference are based on the findings from ARDL and granger causality analyses. Findings from ARDL tests debunk the inverted U‐shape EKC hypothesis for China. Technological innovations and renewable energies are found impacting favorably on Chinese environment by reducing carbon emissions. Output derived from Causality supports the results from ARDL with nexus established amongst the selected instruments. From the findings, we conclude by advocating for policy to be framed on renewable energy sector through investment and technological boosting towards a SDG for China. [ABSTRACT FROM AUTHOR]

Venezuela is among the several countries of the world endowed with natural resources such as oil rent and others. The influence of these resources, which can be felt in both economic and environmental development, is capable of impacting sustainable development goals of any country rich in them. Considering the global climate goals, it is essential to investigate the impact of natural resource rent on its sustainable development goals. We applied Venezuelan country‐specific data of 1972–2014 for an insightful study of the country's sustainable development amidst high resource rent with regard to both economic and environmental performance. The principles of the environmental Kuznets curve (EKC) and pollution haven and halo hypothesis (PHH) were considered to ascertain the pattern and effect of the economic growth and foreign direct investment (FDI) on Venezuelan environmental performance. Different methods such as the autoregressive distributed lag (ARDL) dynamics and bounds, structural break, and Granger causality test were applied for an accurate estimation and insightful analysis. From the ARDL estimations, we found an N‐shaped Kuznets curve, which counters the U‐shaped Kuznets, for the case of Venezuela. Both natural resources and FDI are found to impact positively on the environment, and this confirmed the pollution halo hypothesis for Venezuela. Fossil fuel energy source is found to impact negatively Venezuela's environment with positive relationship between energy use and CO2. From the Granger causality finding, a unidirectional Granger causality is found to transmit from FDI to environment, while bidirectional Granger causality is found to transmit between economic growth and environment. With the findings from both analyses, especially from the vector error correction model (VECM) Granger causality, a nexus is established among economic growth, environment, and FDI, which confirmed the pollution halo hypothesis. [ABSTRACT FROM AUTHOR]

Most of the studies on the impact of debt on Pakistan economy are backdated to a decade and hence the need to re‐investigate the impact to ascertain the level of effect is encouraged. To investigate the target research, the neoclassical growth equation was expanded by augmenting the equation with other variables of interest (Trade openness and FDI) with the intent of proffering solution in reviving the economy via policy implication. Pakistan's annual data of 1970–2016 were estimated with ARDL and Granger causality approaches for both short‐ and long‐run effects. The main variable external debt is negatively and significantly related to Pakistan's GDP both in the short and long run; Trade openness has a positive and significant impact on the GDP; FDI also has a negative and significant relationship with GDP in the short run but a positive and significant impact on GDP in the long run; and investment has a significantly positive impact on GDP in the short run. Basically from the findings, it is observed that the debt swelling is of hurting effect to the economy. The policy implication should be framed around encouraging the trade openness, but with care, as the first lag is depicting negative impact, FDI must be encouraged with an eye on its long‐term impact on the economy and finally, investment should be given maximum attention in order to crowd out the effect of external debt in the economy. [ABSTRACT FROM AUTHOR]

This research work is developed with interest on the performance of Turkish sustainable development amidst high inflow of foreign direct investment (FDI) and excessive usage of fossil fuels (crude oil and gas). Turkey has been identified as among the countries yet to ratify their agreements with both Kyoto and Paris agreements in fight to reduce the global warming. It is essential to investigate to know if Turkey is promoting climate change as could be among the reason why it fails to work in line the agreement to reduce the global warming. The authors adopted quantile regression (QR) to study the linear relationship that exist among the selected variables in order to have a valid conclusion on the stand of the Turkey towards the control of global warming. Our findings are: A negatively significant relationship between the carbon emission and the agriculture in the all the quantiles except the 90% quantile which shows a positive relationship. Also, the ordinary least square (OLS) estimate which acts as a robust check to the quantile findings confirms a negative relationship between the carbon emission and agriculture. A positively significant relationship is established between energy use and carbon emission in all the quantiles. EU (energy use) is statistically significant for the 30, 40, 50, 70, 80 and 90% quantiles. EU is more statistically significant for the 90% quantile than lower quantiles. Again, a mixed (both positive and negative) relationship is established between foreign direct investment and carbon emission in all the quantiles which shows that FDI is impacting the Turkish environment a mixed manner. It shows that the foreign investors still engage in both clean and dirty production in Turkey. This finding gives support to both pollution halo/haven hypothesis (PHH) in Turkey. However, a 1% point increase in GDP per capita increases the carbon emission both in the 10% quantiles and OLS by 2.82 and 2.797% respectively. This shows a positive relationship that exist between GDP per capita and the carbon emission. GDP is statistically significant for all quantiles, and show that there is a strong relationship between CO2 and GDP. Turkish sustainable policies should focus on promotion of clean FDI and agricultural practice with economic growth anchored on renewable energy sources. [ABSTRACT FROM AUTHOR]

This present study is motivated by the United Nations Sustainable Development Goals (UN‐SDGs) that concerns pertinent issues that comprises environmental sustainability (SDG‐13), sustainable development (SGD‐8), and responsible consumption (SDG‐11), among others. To this end, this study examines the long‐run and causality linkage between renewable and non‐renewable energy, foreign direct investment, and economic globalisation in a carbon‐income framework by use of both carbon dioxide emission and ecological footprint as a determinant for environmental degradation for E7 countries. Furthermore, a series of panel econometrics panel tests in conjunction with quantile regression is used to explore the relationship between the outlined variables for annual frequency data from 1990 to 2016. Empirical results trace a long‐run equilibrium relationship among the highlighted variables as reported by Westerlund (2007). Additionally, this study gives credence and validates the pollution haven for the emerging (E7) countries examined, thus, implying the detrimental effect of foreign direct investment (FDI) on quality of environment in E7 economies. Interestingly, we observe that investment in renewable energy consumption will improve environmental quality. This outcome resonates with the advocacy of UN‐SDGs‐7, 11, 12, and 13, where emphasis is placed on responsible energy consumption (renewables), access to clean energy, and climate change mitigation. Conclusively, these revelations suggest the chase for adoption of low‐carbon development technologies and strategies in E7 countries. [ABSTRACT FROM AUTHOR]