Globally, economies are highly concerned about the balance between climatic issues and attaining agricultural sustainability. However, empirical evidence regarding the nexus of agricultural sustainability, emissions, land use, and agricultural trade is scarce and requires appropriate policy-level attention. The current study examines the influence of land-use resources, agricultural exports, and foreign direct investment on agriculture-related greenhouse gas emissions in Brazil. Using various time series diagnostic measures on quarterly data from 1990Q1 to 2020Q4 reveals non-normality and a mixed order of stationarity in variables. The autoregressive distributed lag (ARDL) model and quantile ARDL approach are employed for comprehensive empirical analysis. The results assert that land resources and foreign investments are harmful to environmental sustainability, as they significantly enhance agricultural greenhouse gas emissions. Additionally, agricultural exports and green energy significantly contribute to emissions mitigation by tackling land-use and agricultural emissions in the short and long run. The results are robust across the ARDL and quantile regressions and pairwise granger causality. The study concludes that agricultural exports and land use are key factors inducing agricultural sustainability by inducing emissions. The study recommends increased spending on research and development, solar-based irrigation, and promotion of green energy projects. The study discusses novel findings and implications apropos land resources, foreign investments, agricultural exports, and emissions in the lens of COP 28.

Green innovation in family businesses is a significant yet underexplored area of research, particularly with regard to the influence of dynamic succession characteristics on intergenerational inheritance and its impact on innovation. This study, integrating the social-emotional wealth theory (SEW) and the agency theory, examines 505 Chinese listed family firms spanning from 2011 to 2020. Employing the Difference-in-Differences (DID) method, we investigate how intergenerational inheritance affects green innovation investment over time. Our findings reveal that initially, intergenerational transmission tends to inhibit green innovation investment in family businesses; however, this effect diminishes as the intergenerational process unfolds, indicative of the maturation of the second generation. Notably, we observe that a higher education level among second-generation heirs weakens the inhibitory effect of intergenerational inheritance on green innovation investment. This study addresses a gap in green innovation research by considering intergenerational transmission dynamics in family businesses, thus enhancing our understanding of innovation behaviors within this context. By synthesizing SEW and agency theory, this research offers novel insights into the varying impacts of intergenerational inheritance on firm innovation, shedding light on approaches to reconcile the willingness-ability paradox in family business innovation and promoting effective governance of succession processes.

UN Sustainable Development Goals 13 and 7 on climate change mitigation and clean and responsible energy use serve as the driving forces behind this study. In the light of growing global concern, the current study seeks to evaluate the effect of renewable energy, green finance and institutional quality on carbon dioxide (CO2) emissions in the “Organization for Economic Co-operation and Development” (OECD) members from 2000 to 2022. To ascertain the impact of the relationship between these variables, the study employed the panel quantile autoregressive distributed lag (PQARDL). The cointegration test supports the validity of the long-term link between variables of the study. Apart from that, the estimated results have supported an inverted U-shaped link between CO2 and renewable energy over the long term in the median base (0.50) quantile group. These findings support the global sustainability agenda by illuminating the potential impact of robust institutional frameworks, renewable energy and sustainable finance practices on CO2 reductions. It also recommends that in order to achieve environmental sustainability and enhance environmental quality by lowering CO2, OECD policy maker should prioritize the use of renewable energy sources and high-quality institutions.

War consistently imposes significant challenges to the functioning and advancement of higher education. To identify the key trends in the development of tertiary education in Ukraine during 2014-2021 amid the war, the synthetic control method (SCM) was employed. The outcome variable for assessing tertiary education development is the gross enrolment ratio of the relevant age group. The broadest set of predictors influencing the dependent variable, for which statistical data is available on the World Bank website, consists of eighteen indicators. Through statistical and expert analysis, sixteen countries were selected for inclusion in the control group. The pre-war period was defined as 2000-2013, with 2014 marking the war’s onset, and 2015-2021 representing the war years. In the first stage, a synthetic model is constructed using the broadest possible dataset. In the second stage, the model’s sensitivity is analyzed, leading to the reduction of predictors to thirteen and the control group to ten countries. Consequently, the adequate synthetic model for the development of tertiary education in Ukraine from 2014 to 2021 was established. A placebo test confirmed that the observed gap between actual and synthetic values for tertiary education in Ukraine is not coincidental. The SCM analysis revealed that, without the war, a decline in demand in tertiary education would have been predicted for the 2014-2021 period. The observed gap underscores the significant impact of the war on Ukraine’s higher education system, providing valuable insights for shaping policy initiatives aimed at advancing tertiary education in the post-war era.