Based on the framework of public value and cost structure, combined with the characteristics of China's ecological policies, this study constructs an evaluation index system from four dimensions: fairness, efficiency, participation, and sustainability. Weights of indicators are determined using the analytic hierarchy process and the entropy method. Furthermore, the public value performance model, cost structure performance model, and their integrated model are applied to evaluate China's ecological governance performance from 2015 to 2024. Results show that over the decade, China's ecological governance performance has improved from "average" to "good," with all four dimensions exhibiting an upward trend. However, the overall level remains relatively low. Spatially, performance has improved across all regions, with the eastern region outperforming the northeastern, central, and western regions. The findings indicate that despite significant achievements and continuous growth in the performance index of China's ecological governance, deficiencies in fairness, participation, efficiency, and sustainability have constrained further improvement. Therefore, additional effort is needed to improve the ecological compensation system; stimulate the enthusiasm of multiple subjects for participation; clarify the rights, responsibilities, and interests of all parties; and establish a multigovernance and collaborative governance mechanism. This study clarifies the dynamic evolution characteristics and core dilemmas of China's ecological governance performance. Therefore, it provides support for promoting the green and low-carbon transformation of the economy and realizing high-quality development characterized by the coordinated coupling of economic society and ecology.
Global warming is a persistent challenge which needs wide-ranging solutions. Excessive reliance on non-renewable resources and industrialization has caused an increase in waste generation which calls for worthy strategies to reduce CO2 emissions by 2030 and meet zero carbon goal by 2050. Therefore, observing the relationship between green practices and circular economy is critical to address the carbon neutrality target. The present study scrutinizes how green logistics and artificial intelligence shape circular economy by considering factors such as economic growth, R&D, green taxes and renewable energy. The center focus of the study is technologically advanced economies covering the period from 2000 to 2023. The study employed Method of Moments Quantile Regression (MMQR) approach and reveals the artificial intelligence facilitates green logistics however, green logistics have no significance over circular practices in the given sample. Similarly, renewable resources and R&D have no direct impact on country's economic growth, however, country's growth and environmental taxes play major role in circular economy principles. To ensure robustness, the study also employed Feasible Generalized Least Square (FGLS) and validates the findings of MMQR. Given the scenario, the study encourages policy makers to show greater support to sustainable green logistic operations and AI- driven technologies in order to achieve carbon neutral goals.
Annotation. The article addresses the issues of identifying the impact of the independent indicators analyzed (i.e. insurance and financial services, gross capital formation, transport services, foreign direct investment, research and development expenditure, changes in inventories and inflation) at the level of the 22 European economies over a period of 23 years. The evolution of goods and merchandise exports, were considered dependent indicators. According to our findings within the econometric study, higher volume related to the exported goods and merchandise are associated with high levels of insurance, gross capital formation, transport services, FDI, R&D expenditure and inventories. Our analysis confirms that significant increase in prices due to cost-push inflation can negatively impact trade by making exports less competitive in international markets. Conversely, efforts to address trade imbalances through cost reduction measures may result in economic distress. Therefore, maintaining a balanced approach to inflation and trade policies is essential to ensuring overall economic stability. We have identified that clusters of EU countries having lower inflation, like North-Western European countries, tend to have higher trade activity. In the same time, the South Eastern-European countries show lower overall values, which might indicate developing or smaller economies. These results add value to the existing literature, concluding and formulating recommendations for policy support, to contribute and increase exports competitiveness both at the EU level and for South Eastern European.
Annotation. Carbon taxes motivate consumers to choose carbon-neutral or green options, such as energy-efficient technologies or renewable energy sources, which are considered environmentally safer compared to carbon-intensive alternatives. Carbon taxes encourage manufacturers to invest in cleaner production methods and technologies and to innovate. Today, more than 70 carbon dioxide pricing schemes are in place worldwide, but their contribution to emissions reduction remains a subject of intense debate in politics and science. Carbon dioxide pricing reduces greenhouse gas emissions, but its effectiveness depends on the context of implementation and policy. Not all schemes are equally efficient. The purpose of the study is to investigate the relation of carbon tax revenue and gross domestic product. The research problem and the gap in the literature arise because existing scientific work typically examines carbon dioxide pricing only as a means of reducing emissions or analyses the use of revenues for social or environmental programmes, but does not examine its influence on GDP, investment, or economic growth. Research objective: to investigate the impact of carbon taxation revenue on gross domestic product based on the consequences of carbon taxation analysis.
This article examines sustainable consumption in the context of the Agenda 2030 Sustainable Development Goals (SDGs), with particular emphasis on Goal 12 related to sustainable consumption and production. The study aims to analyse the relationship between students' awareness of sustainability and their actual consumption choices. Unlike much of the research that frames sustainable consumption primarily in a marketing context, this paper focuses on behavioural aspects of consumption. An empirical survey was conducted among 777 university students in Lithuania (n = 477) and Poland (n = 300). The questionnaire included 41 closed-ended statements grouped into five constructs: knowledge of sustainability, sustainable attitudes, sustainable behaviour, sustainable motivation for buying food, and sustainable motivation for buying clothes. Respondents rated the statements on a 5-point Likert scale. Data were analysed using descriptive statistics, reliability testing (Cronbach's alpha), normalisation, and Spearman's correlation analysis. The findings indicate that Polish respondents scored higher than Lithuanian respondents in knowledge, attitudes, and sustainable behaviour. Nevertheless, in both countries, sustainable motivation is weaker when making actual purchase decisions, particularly regarding clothing. Statistically significant moderate correlations were found between knowledge, attitudes, and behaviour, as well as between sustainable motivation to buy food and clothing. Interestingly, no correlation was observed between monthly income and sustainable motivations. The study highlights the gap between sustainability awareness and actual consumer practices. These results underline the importance of educational and policy initiatives that not only raise awareness but also translate it into concrete behavioural changes.
