Search

Using Portugal, the present study explores the nexus between fiscal policies advancement and environmental emissions through the channel of carbon-income function framework. We used recent second-generational time series econometrics tests that comprise bounds testing in conjunction with multiple break structural break test of Maki co-integration and gradual shift causality test and wavelet coherence method for soundness of analysis. Furthermore, to circumvent omitted variable bias issues, energy consumption was disaggregated into non-renewable energy and renewable consumption, with GDP growth incorporated as additional variables. Empirical evidence for the Portuguese economy shows that economic growth, non-renewable energy intake, and fiscal policy all dampen the quality of the environment in Portugal. These findings have environmental implications for sustainability targets in Portugal which is currently on the trajectory for healthy and sustainable energy intake. Additionally, renewable energy consumption shows statistically significant strength to improve environmental quality as it reduces CO2 emission, as reported by our study regression. On the direction of causality analysis, we observed that non-renewable energy and fiscal policy drive pollution emission one-way as reported by the gradual shift causality analysis. From a policy lens, there is need for more strides in action plans on fiscal policy development to achieve environmental sustainability in Portugal. Further insights are elucidated in the concluding remarks section. [ABSTRACT FROM AUTHOR]

Achieving environmental sustainability has become a global concern amidst increasing climate change threat. Using quarterly frequency data for the case of Russia from 1992 to 2018, the present study explores the interaction between disaggregated energy consumption (renewable energy and non-renewable energy), trade flow and economic growth on a broader measure for environmental degradation (ecological footprint). The choice of the variables draws strength from initiative of the United Nations Sustainable Development Goals (UN-SDG, 7, 8 11 and 13) for responsible energy consumption and clean energy consumption while mitigating climate change issues. The study applied the quantile-on-quantile regression (QQR) and nonparametric causality-in-quantiles to capture these associations. The outcomes from the QQR disclosed that in the majority of the quantiles, trade openness and renewable energy use contribute to environmental sustainability, while nonrenewable energy amplifies ecological footprint. Furthermore, growth in Russia escalates its ecological footprint. Moreover, in the majority of the quantiles, all the exogenous variables can predict ecological footprint. Given the outcomes of this study, it outlines the need for a paradigm shift for alternative and clean energy consumption in Russian energy mix amidst its economic growth trajectory while accounting for green-development approaches. Pathways to fully achieve the sustainability targets are carefully outlined in the concluding section. [ABSTRACT FROM AUTHOR]

Along with the increasing aging population (AP) and global interconnectedness in the Mediterranean bloc comes climate change issues faced by the Mediterranean region in its trajectory to energy security and sustainable development. To meet the continuous energy consumption demand while cutting down natural resources extraction and exploitation with a view to minimizing environmental impacts, the policy structure in these countries may require readjustment, which is the motivation for the present study. This study advances a strategic framework for investigating the impact of natural resources rent as well as aging reliance on carbon emissions in the Mediterranean region for the annual frequency data from 1990–2016. Using quantile regression to analyze the highlighted variables, empirical results shows that both income and natural resources rent have an inverted U-Shaped connection with CO2 emission, which affirms the Environmental Kuznets Curve (EKC) hypothesis. Subsequently, globalization and energy use show a positive relationship with emissions while AP is negatively correlated with emissions. Depending on the outcomes of this analysis, a multi-stage Sustainable Development Goal (SDG) framework has been developed and SDG- 7, SDG -13 as well as SDG-8 were examined in this context. While these three SDGs are the main targets of the study, the SDG System has also provided a way to test other SDGs. [ABSTRACT FROM AUTHOR]

The contribution of different agricultural subsectors to economic growth in Nigeria is investigated and further suggests policy implications for investing in each of these subsectors. To this end, Johansen cointegration test and Gregory–Hansen test for cointegration with regime shift, vector error correction model (VECM), dynamic ordinary least squares (DOLS), fully modified ordinary least squares (FMOLS), Granger causality, and frequency domain causality test are employed for data from 1981 to 2016. This paper further highlights the long and causal dynamics between the selected agricultural subsector, namely forestry, crop production, fishery and livestock, and economic growth. Findings from time and frequency domain causality tests indicate a one‐way causality running from various subsectors of agriculture to economic growth in Nigeria, meaning how various subsectors of agriculture are important for predicting economic growth. In addition, there is 54% speed of adjustment from the error correction model, suggesting a need for diversification of the economy into the agricultural sector as a means for sustainable economic growth in the face of the continuous plunge in the global oil price. In the long‐run, the effect of forestry, crop production, and fishery on economic growth is statistically significant and positive. These outcomes have inherent policy implication(s), which are elucidated in the concluding section. [ABSTRACT FROM AUTHOR]

Copyright of Polish Journal of Economics / Gospodarka Narodowa is the property of SGH Warsaw School of Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Over the last 3 decades, oil rent seeking has emerged to be a key driver of most economies around the globe. Prior to the oil boom, agriculture remain main stay of most economies especially developing economies. This present study seeks to revisit the contribution of both oil and agriculture sector in Nigeria by augmenting the neoclassical growth model by the inclusion of agriculture and oil rent as growth drivers. To do this, recent time series data from 1990 to 2017 is employed. This study adopts the use of contemporary econometrics test to investigate the theme holistically. First, stationarity test was conducted with a battery of both stationarity and unit root tests. Subsequently, Pesaran's auto regressive distributed lag bounds testing traces long-run equilibrium relationship between agriculture, oil rent, capital, labor and economic growth over the sampled period. Empirical piece of results validate the agriculture induced economic growth hypothesis, which aligns with the physiocracy school of thoughts ideology. This is against previous study; the resource curse hypothesis was not validated for this current study. Our study results show statistical significant relationship in both long- and short-run between oil rent and economic growth. These outcomes are quite revealing for decision makers and stakeholders since both sector contributes to economic growth. Based on these results, policy mix strategies were suggested in the course of the main text. Among such policies are reinforcing government and private sector participation in both sector given they show complementary role and not substitute to economic output. [ABSTRACT FROM AUTHOR]

This study empirically investigates the agriculture-induced environmental Kuznets curve (EKC) hypothesis in an agrarian framework. Annual time series data from 1981–2014 was employed using augmented Dickey–Fuller and the Phillips–Perron (PP) unit root test complemented by the Zivot and Andrews unit root that accounts for a single structural break to ascertain stationarity properties of variables under consideration. For the cointegration analysis, an autoregressive distributive lag methodology and the recent novel Bayer and Hanck combined cointegration technique are employed. For the direction of causality, the Granger causality test is used as estimation technique. Empirical findings lend support for the long-run equilibrium relationship among the variables under consideration. This study also validates the inverted U-shaped pattern of EKC for the case of Nigeria, affirming that Nigeria remains at the scale-effect stage of its growth trajectory. Further empirical results show that foreign direct investment attraction helps mitigate carbon emissions in Nigeria. Based on these results, several policy prescriptions on the Nigeria energy mix and agricultural operations in response to quality of the environment were suggested for policymakers, stakeholders, and environmental economists that formulate and design environmental regulations and strategies to realise the goal 7 of sustainable development (SDG). [ABSTRACT FROM AUTHOR]

The study examined the impact of food security on child mortality (infant mortality and under-five mortality), using a dynamic panel data analysis for 114 countries for the period 1995-2009 by considering a wide range of controlled variables such as income, social indicators and policy variables. Th e result suggests that food security has a negative impact on child mortality for all countries and even more impact on child mortality within the food insecure African countries. Therefore, based on the findings of the study; it is recommended that an increase in food security is indeed a positive policy option, particularly within the food insecure African countries, since it ensures a decrease in child mortality within these countries. [ABSTRACT FROM AUTHOR]

The aftermath of the COVID-19 pandemic has two striking impacts on the economy of the Kingdom of Saudi Arabia. First, the economic contraction of business and economic activities. Second, the effect of oil prices dropping as energy demand decreases in the international market. This study seeks to underpin the linkage between GDP growth, oil price, foreign direct investment (FDI), air transport, social globalization and carbon dioxide emission by applying time-series econometrics techniques of the following: fully modified ordinary least squares, dynamic ordinary least squares and canonical tests. The results of the Johansen cointegration test and empirical analysis trace a long-run equilibrium relationship between the highlighted variables. Our study shows that a 1% increase in FDI attraction increases economic growth by 0.004%; similarly, air transport and oil rent from KSA increased economic growth by 0.547% and 0.005%, respectively. These outcomes are indicative of the GDP growth ambition of the KSA economy in order to intensify FDI attraction and the air transportation sector. However, we also observe that increases in CO2 emission increase GDP growth. Thus, this suggests that the economic growth in KSA is not green, indicating the need for green economic growth pursuit targets. [ABSTRACT FROM AUTHOR]