The aim of this paper is to explore the short- and long-run asymmetric impact of oil prices shocks and oil and gas revenues changes on the total real GDP, and the level of economic diversification of ...the Qatar economy. To this end, two econometric approaches have been used: (1) the A-B structural vector autoregressive (AB − SVARX) model with exogenous variables where four different asymmetric oil prices and oil and gas revenues measures have been employed, and (2) the nonlinear autoregressive distributed lag (NARDL) model. The results show that, in the short-run, the responses of both total real GDP and non-oil real GDP to negative shocks on real oil prices and real oil and gas revenues are higher than the impact of positive shocks, indicating evidence for the existence of asymmetric impact of shocks in the short-run. However, the results suggest that the impact of shocks do not last more than three quarters. This evidence for the existence of asymmetric behavior is also confirmed by the NARDL analysis, which shows that, in the long-run, positive oil prices shocks and oil and gas revenues changes have higher impact on the two proxies of economic activity than negative changes do. A result that confirms the resilience of the Qatar economy to negative shocks and the positive role played by the energy sector in improving the Qatar economic diversification degree. Finally, the results show that the non-oil sector is completely resilient to negative shocks in the long-run as the impact of negative shocks are insignificant on the non-oil real GDP. Several policies aimed to improve the level of economic diversification of the country and delink the government revenues from oil and gas revenues are proposed and discussed.
•The asymmetric effect of oil price changes on the Qatar total real GDP and economic diversification is examined.•The oil and gas revenues variable is employed as a second proxy for the oil sector and oil prices•There is strong evidence for short- and long-run asymmetric impact.•The Qatar economy is resilient to negative shocks on oil prices and oil and gas revenues.•The energy sector has played a crucial role in improving the Qatar economic diversification.
The biosynthesis of human milk oligosaccharides (HMOs) using several microbial systems has garnered considerable interest for their value in pharmaceutics and food industries. 2'-Fucosyllactose ...(2'-FL), the most abundant oligosaccharide in HMOs, is usually produced using chemical synthesis with a complex and toxic process. Recombinant E. coli strains have been constructed by metabolic engineering strategies to produce 2'-FL, but the low stoichiometric yields (2'-FL/glucose or glycerol) are still far from meeting the requirements of industrial production. The sufficient carbon flux for 2'-FL biosynthesis is a major challenge. As such, it is of great significance for the construction of recombinant strains with a high stoichiometric yield.
In the present study, we designed a 2'-FL biosynthesis pathway from fructose with a theoretical stoichiometric yield of 0.5 mol 2'-FL/mol fructose. The biosynthesis of 2'-FL involves five key enzymes: phosphomannomutase (ManB), mannose-1-phosphate guanylytransferase (ManC), GDP-D-mannose 4,6-dehydratase (Gmd), and GDP-L-fucose synthase (WcaG), and α-1,2-fucosyltransferase (FucT). Based on starting strain SG104, we constructed a series of metabolically engineered E. coli strains by deleting the key genes pfkA, pfkB and pgi, and replacing the original promoter of lacY. The co-expression systems for ManB, ManC, Gmd, WcaG, and FucT were optimized, and nine FucT enzymes were screened to improve the stoichiometric yields of 2'-FL. Furthermore, the gene gapA was regulated to further enhance 2'-FL production, and the highest stoichiometric yield (0.498 mol 2'-FL/mol fructose) was achieved by using recombinant strain RFL38 (SG104ΔpfkAΔpfkBΔpgi119-lacYΔwcaF::119-gmd-wcaG-manC-manB, 119-AGGAGGAGG-gapA, harboring plasmid P30). In the scaled-up reaction, 41.6 g/L (85.2 mM) 2'-FL was produced by a fed-batch bioconversion, corresponding to a stoichiometric yield of 0.482 mol 2'-FL/mol fructose and 0.986 mol 2'-FL/mol lactose.
The biosynthesis of 2'-FL using recombinant E. coli from fructose was optimized by metabolic engineering strategies. This is the first time to realize the biological production of 2'-FL production from fructose with high stoichiometric yields. This study also provides an important reference to obtain a suitable distribution of carbon flux between 2'-FL synthesis and glycolysis.
Sustainability concerns are increasing globally. Besides, in Pakistan, these concerns are increasing day by day due to lack of education as well as redundancy among human capital, depletion of ...natural resources and economic growth can lead to pose severe threats to the environment. To address this concern, this study examines the phenomena that in what way natural resources, human capital, and economic growth affect two important indicators i.e., ecological footprint and carbon emission in Pakistan from 1985 to 2018 by using the dynamic autoregressive distribution lag (DARDL) approach. The outcomes of the analysis indicate that in the long run human capital and natural resource has a negative link with carbon emission whereas economic growth has a positive link with carbon emission. On the other side, in the short run, human capital and economic growth have a positive link with carbon emission while natural resources have a negative link with carbon emission. Moreover, in the long and short-run human capital and economic growth has a positive link with ecological footprint whereas natural resources have a negative link with the ecological footprint. However, the results of this study also revealed the presence of the environmental Kuznets curve (EKC) in Pakistan. Moreover, creating awareness among the citizens together with governmental regulatory pressures might help in solving the problems related to the environment resulting in preserving the sustainability of future generations in Pakistan.
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•We evaluate the effect of natural resources, human capital, and economic growth on Environmental degradation.•We utilize the novel dynamic simulated ARDL model.•Human capital and natural resource has a negative link with carbon emission•Human capital has a positive whereas, natural resources has a negative link with ecological footprint.•The presence of the Environmental Kuznets Curve was also validated.
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•Biofuels persuading the CO2 emissions / circular economy.•Investigate the relationship between economic growth and CO2 emissions by green energy projects.•Green energy projects ...decrease CO2 emissions while other energy projects increase CO2 emissions.•Panel co-reconciliation test verifies significance of long-run equilibrium correlation in their relationships.
Green energy projects (including wind, solar, biomass, hydro projects) are the major constituents of biofuel projects and primary need of global world which are directly concerned with economic growth and gross domestic products (GDP) development. In last few decades, fossil fuel consumption and carbon dioxide (CO2) emission have been increased due to more economic growth and growing population. Moreover, the objective of this research is to assess the consequence of biofuel including natural gas, environmentally friendly power projects (renewable-energy), and thermal power utilization on financial turn of events including GDP and CO2 in ten top countries. Multivariate climate countries with ubiquitous CO2 emission during the period of 1990–2018 were selected to examine the long-run flexibility as well as the path of causality between different variables, the panel co-integration test, panel heterogonous Dumitrescu and Hurlin causality evaluation and panel completely modified ordinary least squares were employed. The panel co-reconciliation test verify that variables have a long-run equilibrium correlation in their relationships. Long haul versatility and causality tests show that natural gas doesn't add to financial development or CO2 decreases. According to this present study, results can help to develop conservative policies regarding long-run and sustainable energy and design in energy development.
The web radically changed the dissemination of information and the global spread of news. In this study, we aim to reconstruct the connectivity patterns within nations shaping news propagation ...globally in 2022. We do this by analyzing a dataset of unprecedented size, containing 140 million news articles from 183 countries and related to 37,802 domains in the GDELT database. Unlike previous research, we focus on the sequential mention of events across various countries, thus incorporating a temporal dimension into the analysis of news dissemination networks. Our results show a significant imbalance in online news spreading. We identify news superspreaders forming a tightly interconnected rich club, exerting significant influence on the global news agenda. To further investigate the mechanisms underlying news dissemination and the shaping of global public opinion, we model countries' interactions using a gravity model, incorporating economic, geographical, and cultural factors. Consistent with previous studies, we find that countries' GDP is one of the main drivers to shape the worldwide news agenda.
The period of the Covid-19 pandemic is a special one, it is a period in which governments around the world have allocated large sums to social protection spending, when many parts of the economy have ...seen a reduction or even closure of activity. The present paper is structured as empirical research that analyses longitudinally and cross-sectionally social protection expenditure with the purpose of identifying those countries in the EU that have significantly increased this expenditure and to see whether in the last decade the growth rates are significant. So, we found that at EU-27 level, the social protection spending has expanded and intensified during the pandemic and that the governments have adopted measures to support vulnerable groups.
•The reasonability of Chinese government’s CO2 emissions reduction allocation plan is examined.•The stochastic convergence and β-convergence are tested using the provincial panel data.•Both fixed ...effects and Generalized Method of Moments (GMM) estimators are utilized.•The provinces with high carbon intensity tend to experience faster reduction in carbon intensity, and vise versa.
To curb CO2 emissions, the Chinese government has announced ambitious goals to reduce the CO2 intensity of GDP, and the total target has been allocated to all Chinese provinces during the twelfth “Five-year Plan” period (2011–2015). Although setting the target allocation plan is an efficient way to achieve this goal, some key questions, including how the plan is designed, remained unanswered. From an economic perspective, this requires us to test for the existence of convergence in the CO2 intensity of GDP because the convergence is one of the most important intrinsic economic characteristics that policy makers should take into account: if the convergence exists, the provinces with a higher CO2 intensity of GDP tend to experience a more rapid reduction in the intensity and therefore could share a heavier burden of the intensity reduction. The existence of stochastic convergence and β-convergence is verified by employing different estimation methods and using various estimation specifications. As a result, the direct policy implication is that provinces with high CO2 intensity should be assigned tougher reduction targets to cut CO2 intensity at higher speeds, while the provinces with low carbon intensity should be allowed to reduce the CO2 intensity at a relatively lower speed. Because some social and economic indicators such as GDP per capita, industrial structure and population density may influence CO2 intensity, the policy makers should take all these factors into consideration to design reasonable reduction target allocation plan.
The changing landscape in global geopolitics of energy security coupled with post-COVID slow economic recovery has raised concerns about China's carbon neutrality commitment. This study seeks to ...answer the role of China's green innovation, renewables, non-renewables, and GDP for CO2 emissions using the novel Quantile Auto-regressive Distributed Lag (QARDL) model over an extended period from 1990 to 2020. The results conclude that green innovation can reduce CO2 emissions by up to three times with a 1:3 ratio while renewable energy sources are able to cut CO2 emissions with a modest rate of return at a 1:0.8 ratio. Similarly, with a 1:3.5 ratio, fossil fuels which still account for more than 83% of total energy consumption are highly emission-intensive. GDP spurs CO2 emissions but at a decreasing rate. In addition, the results also conclude the validation of the EKC hypothesis, meaning that GDP has the potential to offset environmental degradation in both short- and long-run paths. In the current situation, the renewable energy sector is environmentally inefficient and needs policy reforms. Considering the current economic slowdown and potential future challenges to energy security, the country needs to take stringent policy measures to fulfill its existing commitments in self-interest.
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