Energy consumption and innovation-environmental degradation nexus in BRICS countries: new evidence from NARDL approach using carbon dioxide and nitrous oxide emissions.

How asymmetric is the response of CO2 emissions to economic restructuring in China? Evidence from NARDL approach

There is a lack of information regarding carbon dioxide (CO), methane (CH), and nitrous oxide (NO) emissions from pasture soils and the effects of grazing. The objective of this study was to quantify greenhouse gas (GHG) fluxes from pasture soils grazed with cow-calf pairs managed with different stocking rates and densities. The central hypothesis was that irrigated low-density stocking systems (SysB) would result in greater GHG emissions from pasture soils than nonirrigated high-density stocking systems (SysA) and grazing-exclusion (GRE) pasture sites. The nonirrigated high-density stocking systems consisted of 120 cow-calf pairs rotating on a total of 120 ha (stocking rate 1 cow/ha, stocking density 112,000 kg BW/ha, rest period of 60 to 90 d). The irrigated low-density stocking systems consisted of 64 cow-calf pairs rotating on a total of 26 ha of pasture (stocking rate 2.5 cows/ha, stocking density 32,700 kg BW/ha, rest period of 18 to 30 d). Both systems consisted of mixed cool-season grass-legume pastures. Static chambers were randomly placed for collection of CO, CH, and NO samples. Soil temperature (ST), ambient temperature (temperature inside the chamber; AT), and soil water content (WC) were monitored and considered explanatory variables for GHG emissions. GHG fluxes were monitored for 3 yr (2011 to 2013) at the beginning (P1) and at the end (P2) of the grazing season, always postgrazing. Paddock was the experimental unit (3 pseudoreplicates per treatment), and chambers (30 chambers per paddock) were considered multiple measurements of each experimental unit. A completely randomized design considered the term year × period as a repeated measure and chamber nested within paddock and treatment as the random term. Generally, SysB had greater CO emissions than SysA and GRE pasture sites across years and periods ( < 0.01). Soil temperature, AT, and WC had effects on CO emissions. Methane and NO emissions were observed from pasture sites of the 3 systems, but the effect of grazing was not constantly significant for CH and NO emissions. In addition, ST, AT, and WC did not conclusively explain CH and NO emissions. No clear trade-offs between GHG were observed; generally, GHG emissions increased from 2011 to 2013, which was likely associated with weather conditions, such as higher daily temperature and precipitation events. The central hypothesis that SysB would result in greater GHG emissions from pasture soils than SysA and GRE was not confirmed.

Poverty is considered a complex and multifaceted phenomenon that can be subjected to various socio-economic factors. This study aims at assessing the potential asymmetric influence of foreign direct investment (FDI) and trade openness on poverty in Pakistan from 1972 to 2018 by employing the Non-linear Autoregressive-Distributed Lag (NARDL) approach. The asymmetric ARDL bound testing technique confirms the long-run association among the selected variables. Furthermore, we deploy three proxies (Gini index, headcount ratio, and household consumption expenditures) to measure poverty for more robust results. The findings demonstrate that positive shocks from foreign direct investment and trade openness work as effective measures by reducing the harmful effects of poverty. Conversely, the vicious circle of poverty becomes severe due to the negative shocks in foreign direct investment in the case of the Gini index and household expenditures consumption as a proxy of poverty and the negative shocks in trade openness in the case of household expenditures consumption as a proxy of poverty. Moreover, the findings also disclose that population growth and health expenditures help in ameliorating the deleterious repercussions of poverty. For policymakers having an interest in asymmetric nexus among foreign direct investment, trade openness, and poverty, this study suggests the apropos implications.

We have investigated a subset of restoration practices applied to a degraded pasture at Fazenda Nova Vida, a 22000 ha cattle ranch in Rond^onia, Brazil. Nitric oxide (NO) and carbon dioxide (CO2) emissions from soils were measured in conventional tillage and current pasture sites to assess N and C losses. Mean daily NO emissions from tilled plots were at least twice those from the pasture. Nitric oxide emissions from the tilled sites showed a strong diurnal pattern, while those from the pasture sites did not. Mean daytime NO emissions from the tilled sites were 9.7 μg NO-N m−2 h−1, while mean nighttime emissions were 29.7 μg NO-N m−2 h−1. In the pasture sites, NO emissions were 7.6 μg NO-N m−2 h−1 during the day, and 7.7 μg NO-N m−2 h−1 at night. Surface soil temperature was a good inverse predictor (r2=0.75) of NO emissions from the tilled sites. Carbon dioxide emissions from the tilled sites were generally larger than CO2 emissions from the pasture sites. The mean CO2 emission rate from the tilled sites was 179 mg C m−2 h−1, while it was 123 mg C m−2 h−1 from the pasture sites. There was no distinct diurnal pattern for CO2 emissions. We found that the very high temperatures measured at the soil surface in the tillage plots, in the range of 40–45°C, reduced the rate of NO emission. The reduction in NO emissions may be because of the sensitivity of autotrophic nitrifiers to high temperatures. This study provides insights on how land-use change may alter regional NO fluxes by exposing certain microbial communities to extreme environmental conditions. Future studies of NO emissions in tropical agricultural systems where soils are bare for extend periods need to make diurnal measurements or the daily fluxes will be substantially underestimated.

Environmental quality and its nexus with informal economy, corruption control, energy use, and socioeconomic aspects: the perspective of emerging economies

Even though numerous studies explore the impact of macroeconomic variables on carbon dioxide (CO2) emissions, only a few existing studies estimate the asymmetric impact and causality. By considering the significance of asymmetries, this study investigates the asymmetric impact of economic growth, energy use, and foreign direct investment inflows on CO2 emissions in India wherein oil prices are included as additional variable. The kinked exponential growth of these variables over the period 1986-2014 is also estimated. To this end, nonlinear autoregressive distributed lag (NARDL) model and asymmetric causality test are used. The results show that increase in economic growth would decrease CO2 emissions, while a reduction in economic growth would increase CO2 emissions which implies an inverted U-shaped link between economic growth and CO2 emissions. The positive and negative shocks in oil prices have a favorable and significant impact on CO2 emissions as well. Furthermore, the energy consumption with positive shock shows a positive and significant impact on CO2 emission. Besides, the findings of foreign direct investment inflows support the pollution heaven hypothesis. In light of these results, this study also suggested some policy implications and future research avenues in the concluding section.

Carbon dioxide emission and greenhouse gas emissions are considered core issue in the world that influence agricultural production and also cause climate change. The present study seeks to investigate the linkage of methane emissions, nitrous oxide emissions, carbon dioxide emission, and greenhouse gas emissions with agricultural gross domestic product in China. The long-term association was checked by using an autoregressive distributed lag (ARDL) bounds testing approach, fully modified least squares method, and canonical cointegrating regression analysis. The results from long-run analysis exposed that carbon dioxide emission and greenhouse gas emissions have positive coefficients that demonstrate the long-run linkage with the agricultural gross domestic product having p values of 0.5709 and 0.3751, respectively. Similarly, results also revealed that agricultural methane emissions and agricultural nitrous oxide emissions have a negative association with the agricultural gross domestic product having p values of 0.1737 and 0.0559. China is a huge emitter of CO2 emission and greenhouse gas emissions. Possible conservative policies are required to form the Chinese government to tackle this challenge to decrease CO2 emission in order to increase agricultural production.

The traditional literature has explored various factors including, but not limited to, trade openness, financial development, energy consumption, foreign direct investment, globalization, and per capita income that significantly contribute to carbon emissions. However, the current study identifies aggregate domestic consumption spending as a novel driver of carbon dioxide, employing the data for the period of 1973-2018 in Pakistan. To this end, we develop the theoretical framework to illustrate the link between aggregate domestic consumption spending and carbon dioxide emissions and deploy autoregressive distributed lag (ARDL), asymmetric ARDL, and thethreshold non-linearARDL (NARDL)techniques. The results of the ARDL method suggest that only in the short run, aggregate domestic consumption spending significantly affects carbon dioxide emissions. Furthermore, the findings of the NARDL approach reveal that the positive and negative shocks significantly deteriorate and ameliorate the environmental quality by increasing and decreasing the pollution, respectively, in the short and long run. Even though the outcome of the threshold NARDL technique supports the results of the aforementioned approaches, the novelty of the current study is to find out the threshold in aggregate domestic consumption spending, which carries a significant role in determining the carbon emissions in both periods. Besides, we infer that fossil fuels energy and trade openness also degrade the Pakistani climate by boosting atmospheric pollution. Additionally, the application of the asymmetric Granger causality test validates the results by asserting the casual relationship between aggregate domestic consumption spending and carbon dioxide emissions. Based on the results, we suggest the authorities to start to promote the deployment of green products publicly to obtain green and sustainable development.

The asymmetric impact of renewable energy consumption on the economic growth of emerging South and East Asian countries: A NARDL approach

The long run trade orientation of an economy is measured in this article by an index which measures the extent to which the real exchange rate is distorted away from its free trade level by the trade regime. The technique for estimating a cross country index of real exchange rate distortion uses the international comparison of prices prepared by Robert Summers and Alan Heston. Resource endowment constitutes the norm and real overvaluation or undervaluation relative to this norm reveals whether incentives are directed to the domestic or international market. The index is constructed based on data for GDP/capita average price level in US dollars 1976-85 and GDP growth rate/capita 1976-85. Other sections are devoted the comparison of the procedure for 117 countries between 1976-85 and an examination of the empirical relationship between outward orientation and economic growth and sensitivity analysis. The results indicate that Latin America generally was overvalued by 33% relative to Asia and Africa was overvalued by 86%. The real exchange rate distortion index supports the view that Asian countries are more outward oriented. Asian economies have lower price levels which reflect relatively modest protection and incentives oriented to external markets. Latin American countries with moderately high price level and African countries with very high price levels reflect strong protection and incentives directed to production for the domestic market. An alternative specification which eliminates the dummy variables for Africa yields similar results with slightly lower magnitude; i.e. overvaluation is 60% instead of 86% for Africa and Latin America is overvalued by 39% instead of 33% over Asia. A table is provided which indicates by country the distortion and variability of the real exchange rate the GDP growth the 1976 GDP/capita and the investment rate. Another finding was that there is a significant negative relationship between distortion of the real exchange rate and growth of GDP/capita after controlling for the effects of real exchange rate variability and investment level with both the original specification and the alternative. The growth rate/capita of Latin American and African countries would increase 1.5-2.1% with a shift to move outward oriented trade policies. This gain as well as devaluation of the real exchange reate trade liberalization and maintenance of a stable real exchange rate would contribute to positive growth rates. In the analysis of the poorest 24 countries the result was that only rate distortion and not variability and investment rate explained the growth rate. The gain for Ghana for example of adopting the trade policies and exchange rate of Bangladesh would be 5% to its growth.

How to achieve carbon neutrality while maintaining economic vitality: An exploration from the perspective of technological innovation and trade openness

Over the last few years, economic uncertainty has become a global concern. Not only has its impact on economic activities, but there are pieces of evidence that show uncertainty can be the reason for CO2 emissions. It is also expected that the economic policy uncertainty may decrease or delay economic production, which may lead to a reduction in carbon emissions. Furthermore, uncertainty may decrease friendly environment policies and budgets, which causean increase in carbon emissions. Thus, there may be an asymmetric relationship between economic uncertainty and the amount of CO2 emissions. This study investigates the effects of economic policy uncertainty and economic activity on carbon emission applying a nonlinear autoregressive distributed lag (NARDL) cointegration approach in Iran between 1971 and 2018. Findings show that both policy uncertainty and economic growth contribute to CO2 emissions. The negative and positive shocks of GDP and uncertainty index on CO2 emissions in both the short run and long run are significant. Based on the results, there is an asymmetric effect of economic production on CO2 emissions in Iran. The results of analyzing asymmetric effects of economic uncertainty show a symmetric relationship between uncertainty index and CO2 emissions, in a way that a shock inthe uncertainty index lowers carbon emission. To sum up, since uncertainty may affect the analysis of carbon emissions incorrectly, some environmental policies such as allocating a budget for R&D on clean energy and environmental taxes must be implemented.

Widespread interference of human activities has resulted in major environmental problems, including pollution, global warming, land degradation, and biodiversity loss, directly affecting the sustainability and quality of the environment and ecosystem. The study aims to address the impact of the extraction of natural resources and globalization on the environmental quality in the South Asian countries for the period 1991–2018. A new methodology Dynamic Common Correlated Effects is used to deal with cross-sectional dependence. Most previous studies use only carbon dioxide emissions, which is an inadequate measure of environmental quality. Besides carbon dioxide emissions, we have used other greenhouse gas emissions like nitrous oxide and methane emissions with a new indicator, “ecological footprint”. Long-run estimation results indicate a positive and significant relationship of natural resources with all greenhouse gas emissions and a negative association with the ecological footprint. Globalization shows a negative association with carbon dioxide emissions and nitrous oxide emissions and a positive relationship with the ecological footprint. Institutional performance is negatively correlated with carbon dioxide emissions, methane emissions, and ecological footprint while positively associated with nitrous oxide emissions. The overall findings highlight the pertinence of reducing greenhouse gas emissions and ecological footprint, proper utilizing of natural resources, enhancing globalization, and improving institutional performance to ensure environmental sustainability.

Stock markets and carbon emissions nexus in Nigeria: Evidence from nonlinear ARDL and causality approaches

Purpose This study aims to explore the short- and long-run asymmetric link between carbon emission (CE), renewable energy generation (REG), renewable energy capacity (REC), renewable energy investment (REI) and energy demand (ED) to analyze the impact of positive and negative asymmetric shocks of carbon emissions. Design/methodology/approach The nonlinear autoregressive distributed lag (NARDL) model was used to capture the asymmetric effects of the independent variables REG, REC, REI and ED on the dependent variable CE from 1990 to 2024. Findings The findings suggest that all independent variables are associated with the CE in the long run. This relationship confirms that changes in REG, REC, REI and ED significantly impact the CE. The results indicate that positive shocks in renewable energy generation have a stronger impact on emission reduction than negative shocks have on increasing emissions. The short-run asymmetric value of REG is 1.371, which is positive and significant at a 1% level, indicating that changes in REG do not have a stagnant effect on CE. Research limitations/implications Firstly, the analysis focuses on aggregate renewable energy generation and does not differentiate between different types of renewables (e.g. solar, wind, hydro). Future studies could explore the individual effects of different renewable energy sources on emissions and additional variables such as energy prices and government subsidies for the clean energy investment. Practical implications The study has several policy and practical implications. First, policymakers should prioritize expanding renewable energy infrastructure, as the impact of increasing renewable energy generation is more pronounced in reducing emissions than the adverse effects of its reduction. Governments should design policies that encourage sustained investment in renewable energy to ensure long-term emission reductions. Originality/value The annual data on CE, REC, REG, REI and ED from the International Energy Agency and International Renewable Energy Agency for the period of 1990–2024 were used to incorporate carbon emissions during the Paris Agreement and the COVID-19 pandemic.