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Renewable energy has become more popular since it is cost-effective and more efficient than conventional energy sources. Biomass-based renewable energy is primarily used in emerging economies to ensure environmental sustainability. This study examines the asymmetric correlation between biomass energy consumption and CO2 emissions in the top-10 biomass energy consumer countries (Brazil, Canada, Thailand, China, Italy, India, Germany, USA, UK, and Japan). A new approach "Quantile-onQuantile (QQ)" is employed by utilizing the data from 1991 to 2018. Biomass energy consumption, with the exception of Thailand, significantly mitigates CO2 emissions at various quantiles in selected countries. As a robustness check, we used the quantile regression test, whose findings are consistent with the outcomes from the quantile-on-quantile method. However, the degree of asymmetry in the biomass energy-CO2 nexus varies by country, necessitating extra attention and government vigilance when developing biomass energy and environmental policies.

This study aims to measure the relationship between technological progress, renewable energy, and green economic growth (GEG). This study uses a data envelopment analysis (DEA) estimation method to evaluate the association between government expenditure on research and development (R&D), renewable energy deployment, and GEG in the Economic Community of West African States (ECOWAS) between 1990 and 2018. The estimates revealed an inconsistent GEG indicator in the analysis, suggesting the lesser impact disposition of public policy. In addition, the energy efficiency ratio of ECOWAS subregion is under 0.50, implying energy poverty in the sub-region. Many people do not have sufficient energy to heat and cool their homes to enough temperature and meet their basic needs and energy security concerns. This research discovered that a percentage growth increase in renewable energy deployment results in a 3.2% increase in growth in sustainable performance. Alongside an essential effect of one percentage point growth in R&D expenditure boosts economic system sustainable performance to 4.4% combined with a supported effect of one percent. This research reveals that the ECOWAS government expenditure on human resources and R&D of sustainable energy resources would result in a low carbon growth via an advanced technological production process; nevertheless, the impacts are varied in the various countries in ECOWAS. (c) 2022 Elsevier Ltd. All rights reserved.

As a consequence of globalization, the world’s economies are merging; nonetheless, concerns about how globalization trends may harm the environment locally and worldwide are growing. The globalization-environment nexus has now become a contentious issue among policymakers. As a result, several empirical research studies on the globalization-environment nexus have been conducted. In the context of the environmental Kuznets curve theory, this study explores the influence of globalization on environmental deterioration in Kazakhstan (EKC). Furthermore, energy is a control variable in this research. Unit roots and structural break are used to solve the issue of non-stationarity in time series. The autoregressive distributed lagged (ARDL) model is used in this research for long run relationships between variables as well as to estimate long run and short run coefficients. Income, energy, and globalization are discovered to have a long-term link. Furthermore, the findings revealed that long-term environmental deterioration was exacerbated by economic, political, and social globalization, since these factors were shown to have a positive impact on carbon emissions in Kazakhstan. Energy is to blame for environmental damage both in the short and long term. Furthermore, this research reveals that the EKC theory exists in Kazakhstan. On the basis of the findings, policy suggestions are made.

Numerous nations' policies have integrated the imperative of restraining the expansion of CO2 emissions, recognizing the increasingly dire and unmanageable consequences it entails. Despite empirical literature identifying diverse drivers of CO2, the impact of national security, healthcare, entitlement programs, and total petroleum stocks has largely been overlooked. Thus, this study aims to bridge this gap by investigating, for the first time, the role of these economic variables in determining whether they contribute to CO2 reduction or escalation in the United States. To evaluate the interconnections among these variables, this study utilizes monthly data spanning from 1985 to 2022. Employing contemporary quantile approaches like Recursive CQ correlations, Cross-Quantilogram, and nonparametric quantile causality, the study effectively accommodates the nonlinear nature of the variables. These analytical techniques offer a comprehensive assessment of the relationships among the variables under scrutiny. The outcomes of the Cross-Quantilogram analysis reveal that health care, national security, and entitlement programs enhance ecological quality at different quantiles. Conversely, total petroleum stocks are associated with ecological deterioration. Based on these results, the study recommends a focus on raising awareness regarding sustainable procurement strategies, embracing environmentally friendly technologies, and improving energy efficiency in healthcare facilities.

The aim of the present research is to assess the impact of factors such as welfare, infrastructure, security, and the environment on inbound tourism as well as to develop its forecast. Six proxy indicators of the above-mentioned factors were selected as variables, namely, welfare (real GDP per capita, life expectancy, consumer price index), infrastructure (passenger transportation volume), security (total recorded crimes), and the environment (CO2 emissions). We used a time series-univariate ARIMA model to forecast the inbound tourism in the Republic of Uzbekistan, and applied the ARDL model to assess the impact of lagged real GDP per capita on inbound tourism in both the short and long terms. The results of our research show that security and welfare significantly affect the inflow of foreign tourists in the country, along with the impact of the COVID-19 pandemic crisis, the effects of which are expected to persist beyond 2026.

Abstract Renewable energy is becoming a critical component of energy balance in developed countries. However, the speed of renewable energy adoption and its market penetration levels are lower in the developing countries including Uzbekistan. This provides additional information on the factors serving as incentives and disincentives for renewable energy penetration (with special emphasis on solar-PV and solar-thermal systems) based on micro-level primary data collected in three regions of Uzbekistan. Our results show that individuals who are older, own a car and live in a big family, have higher likelihood of being first adopter of RES, followed by individuals with a higher level of cognitive abilities who experience power outages in the household. Consequently, we observe a positive relationship between an individual's level of cognitive abilities and environmentally friendly behavior using household-level data, estimated a positive association of cognitive abilities with public acceptance of RES.

Many European nations, including Spain, are having difficulties achieving their Sustainable Development Goals (SDGs) objectives. Resultantly, the current research discusses the development of an SDG framework for Spain, which can be utilized as a model for other EU nations. This research examines whether GDP growth, technological innovation, and energy sources (renewable and non-renewable) have any effect on CO2 emissions utilizing data from 1980 to 2018. The study applied the non-linear ARDL (NARDL) to investigate these interrelations. The outcomes from the NARDL revealed that positive (negative) shocks in renewable energy improve environmental quality in Spain. Furthermore, positive (negative) shocks in technological innovation lead to a decrease (increase) in CO2. Lastly, positive (negative) shocks in energy consumption lead to an increase (decrease) in CO2. The results reveal that Spain is on the right path towards decarburization. This research has important policy ramifications for the policymakers and government of Spain as well as neighbouring countries.

Abstract This article is devoted to the use of limited resources in agricultural production, forecasting profitability and productivity, improving the integration of agricultural enterprises, analyzing the results of factors-dependent, using economic-mathematical and econometric (additive, multiplicative and multiple (proportional)) models, econometric studies based on the application of econometric methods for planning and forecasting agro-economic development of agriculture, and also search for new scientific approaches to agroeconomic forecasting. The range of key objectives of agro-economic forecasting is defined, that is, determining the level of satisfaction of demand for agricultural products in the near future, as well as creating an effective production management system and ensuring sustainable economic development, and its relationship with industry and other sectors in the region. The optimal solutions are achieved due to higher economic identification of factors and sources of economic growth, systematic analysis of conditions in the implementation of an integrated approach in economic processes.