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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 is dual analysis of Turkish sustainable development amidst some high industrial and economic activities. Turkey is currently prioritizing the economic growth to the environmental sustainability and trying to achieve its 2023 goals and place in top 10 economies by date. This action might spark increase in emission level and decrease the environmental quality for both term. For effective and clear analysis, we apply the empirical analyses with both symmetric (dynamic ordinary least square-DOLS) and asymmetric (nonlinear autoregressive distributed lag-NARDL) approaches in short run and the long run periods for policy inferences through forecast. We apply the economic features (entrepreneurs, FDI, technological innovation proxy by R&D, renewable energy and economic growth) of Turkey that are important in determining both economic and environment development of the country to investigate its ability to achieve its climate goals. Turkey's data of 1985–2018 were adopted. Findings from both approaches (symmetric and asymmetric) show that carbon emission can be reduced and good environmental quality obtained through the instruments of renewable energy, technological innovation, FDI and entrepreneurial activities. A nexus is established among the instruments (renewable energy, technological innovation, entrepreneur activities and FDI) pointing towards carbon mitigation for Turkey, and this gives support to the findings from both symmetric and asymmetric approaches. Also, from symmetric analysis with dynamic ordinary least square, EKC is found for the case of Turkey which shows the ability of Turkey achieving its climate goal if right policies are implemented. [ABSTRACT FROM AUTHOR]

We studied Malaysia's ability to achieve its climate goal amidst high rate of entrepreneurial activities and influx of people from rural to urban cities (urbanization) due to massive and prospective economic activities in the cities. For this, we investigate the impact of urbanization, entrepreneurial activities, and economic growth on its environmental performance. Renewable energy and financial development were also incorporated in the analyses to see if they have mitigating effect on the country's carbon emissions. Malaysian data of 1992Q1 to 2017Q4 were adopted for this study, and we also adopted both linear (dynamic ordinary least square-DOLS) and non-linear (nonlinear autoregressive distributed lag-NARDL) scientific and analytical approaches for better and clear insight from our study. Granger causality is equally applied as a robust check to the findings from DOLS and NARDL through direct inference from the selected variables. Findings from NARDL exposed significant impacts of the selected variables on the carbon emissions. Specifically, entrepreneurial activities, urbanization, financial development and renewables are mitigating carbon emissions, while economic growth is increasing emissions. Findings from DOLS and granger causality support the findings from the NARDL with more light on the trend of impact from economic growth to the Malaysia environment through inverted U-Shape EKC hypothesis. From granger causality nexus is established among the variable of interest in this study. From the findings, policy to mitigate carbon emissions can be framed with renewables, urbanization, entrepreneurial activities and financial activities. Authorities can initiate subsidising policies that will enable both private and public players to invest in energy sector strictly for the purpose of expanding renewable energy source. [ABSTRACT FROM AUTHOR]

This current study seeks to investigate the policy implication of Turkey's recent energy policies on its sustainable development. This study uses Turkey's country-specific data and series of 1974 to 2018 for effective investigation and justification of the findings of this study with emphasis on both short-run and long-run implications. Three models were fitted to achieve study objectives to accommodate both environmental sustainability and economic impacts. Ecological footprint was considered better measure and used as proxy for the environment related model. In summary, with environment models, the selected series (per capita GDP, industrialization, agriculture, coal as a single energy use, and mixed energy use) except per capita GDP2 were found positively and significantly related to ecological footprint in both short run and long run which translates to poor performance of Turkey's environment. Also, using economic growth model, the selected series (industrialization, energy use, and agriculture) were all confirmed positively and significantly related to the economic growth (per capita GDP). Additionally, environmental Kuznets curve (EKC) was established for Turkey's environment and economic performance. Furthermore, using Granger causality as robust check to these findings, a nexus was found among the series confirming the validity of the cointegration (short- and long-run policies) estimations and results. In congruence with literature and hypotheses, the results from cointegration estimation shows that the twin polices may be good to the economic performance but will spark off adverse effect on environment. [ABSTRACT FROM AUTHOR]