Journal of Sustainable Development and Green Technology

In this article, patents play an important role in the development of industrial production in the region. As legal documents protecting intellectual property, patents serve as a catalyst for innovation, investment, and economic growth. By analyzing historical and contemporary examples, this study discusses how patents stimulate research and development, encourage technological progress, and increase competitiveness in regional industries. In addition, the article examines the effect of patents on the volume of production of industrial products per capita. By examining the relationship between patents and industrial production, this study highlights the importance of robust patent systems in shaping the trajectory of regional economic development.

This paper investigates the relationship between foreign direct investment and economic growth in Belt and Road countries during 1990-2020. Our findings suggest that a 10% increase in FDI relative to GDP is associated with only 0.9 percentage points increase in GDP growth. The results are held after including control variables. The results can be explained based on the facts that forces investors and companies to invest their money in foreign projects including relatively lower cost of deployment, the access to resources, favorable financial environment and developed financial markets. These elements collectively shape the impact of FDI on economic growth in the Belt and Road countries. Future research on the FDI-growth nexus in Belt and Road countries should concentrate on causal links and potential indirect pathways by which FDI can influence economic growth.

Wage inflation is often a non-monetary phenomenon that has two basic explanations. First, inflation results from the government's stimulation of demand through an increase in official salaries. Second, when the labor market's demand for workers rises, wages rise as well, raising the cost of manufacturing and resulting in cost-push inflation. In developing economies, this process typically manifests itself in two ways at once. Thus, the objective of this research is to evaluate experimentally how pay increases affect inflation in Uzbekistan. We use a basic OLS model to examine the association between these variables. The findings indicate that wages and inflation in Uzbekistan have a somewhat favorable association. We have concluded that it is reasonable to indexation of official pay to the price level and implement an efficient supply policy in order to lessen the detrimental impact of wages on inflation.

The article reviews the issues of the development of aviation hubs in Uzbekistan, their importance in increasing the international competitiveness of the national economy as well as studies the features of Dubai model of aviation hub development as a case model. Cargo and passenger traffic of domestic airports have been analyzed, existing problems in the aviation industry of the country have been studied, prospects have been considered, and proposals for the development of aviation hubs in the country and their use as a competitive advantage were presented.

Decision-makers at wastewater treatment plants must increase process efficiency and circularity while preserving economic performance. They must comply with increasing requirements about lowering emissions, sustainability, and human health safety. To operate and choose technologies to fulfil these expectations leads to complicated multi-objective issues. As a consequence, the water industry has developed several decision support systems. Multi-criteria decision-making (MCDM) is used to deal with various criteria in the evaluation process. The MCDM methodology integrated with the probabilistic neutrosophic hesitant fuzzy set (PNHFS) to deal with vague and incomplete information. The PNHFS used the VIKOR method to rank the alternatives and used the optimal wastewater treatment plants. The criteria weights are computed. The results show that safety is of the highest importance—the sensitivity analysis was conducted to show the different ranks under different cases. The main results show the different ranks are stable, and the suggested MCDM methodology is robust compared with other MCDM methods.

This work comprehensively evaluates onshore wind farms, focusing on their technological efficiency, environmental impact, economic viability, and societal implications. Onshore wind energy has emerged as a prominent renewable energy source, leveraging the kinetic power of wind to generate electricity on a substantial scale. The evaluation encompasses a detailed analysis of wind resource assessment, turbine technology, grid integration, environmental considerations, economic feasibility, and stakeholder engagement. Findings reveal that onshore wind farms exhibit commendable technological advancements, with modern turbines showcasing higher efficiency and capacity. Environmental assessments highlight their lower carbon footprint compared to conventional energy sources, albeit with considerations for land use and wildlife impacts. Economic evaluations emphasize the decreasing costs of wind energy, yet challenges persist concerning upfront investment and intermittency. Stakeholder engagement emerges as a crucial aspect, stressing the importance of community acceptance and regulatory compliance. The assessment illuminates the multifaceted aspects of onshore wind farms, underscoring their potential as a sustainable energy source while acknowledging the need to address technological, economic, and social barriers to widespread adoption. We used the multi-criteria decision-making (MCDM) model for evaluating the onshore wind farms. The Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) method is used to rank the alternatives. The MCDM method used under single valued neutrosophic set (SVNS). The SVNS is used to overcoming the uncertainty in the evaluation process.

This article explores Takaful, an Islamic insurance scheme adhering to Sharia principles. It examines its unique features compared to conventional insurance and its role within Islamic banking. Additionally, it highlights Takaful’s expansion globally, especially in countries like Malaysia, Pakistan, Indonesia, Turkey, UAE, and Great Britain.

This research paper investigates the implications of the rise of artificial intelligence (AI) on the practice of business analysis and its impact on organizations. By focusing specifically on the integration of AI in business analysis, the study examines the challenges, opportunities, and transformations brought about by this technological advancement. It explores ethical considerations, emphasizes the need for human oversight and interpretation of AI-generated insights, and discusses the evolving skill set required for business analysts in the AI era. The findings contribute to understanding the implications of AI adoption in business analysis and provide valuable insights for organizations aiming to effectively and responsibly leverage AI in their decision-making processes.