Studies on the influence of public policies on the regional tourism sector are of high scientific and practical interest, as they offer inputs to guide public management towards strengthening the tourism development of the territories. Through the structural equation model, this study took a sample 99 companies in the tourism sector in Valle del Cauca, Colombia, addressing the relationship between public policy management (PPM) and regional tourism development (RTD), from the perspective of the rational model of business performance. The findings show that the capacity of the state and its entities to comply with the requirements of the organizations, as well as the rigor to take criticism and suggestions for improvement, as a basis to strengthen their management, are the factors that best explain the relationship between the PPM and RTD based on the performance of organizations in the sector, especially focused on increasing market share, productivity, and income. Other findings and practical implications are discussed.

This paper aims to systematically analyze the current state of plastic waste legal supervision in China and to propose a vision for future governance frameworks. In recent years, along with the vigorous rise of emerging industries such as the express delivery industry and takeaway services, the consumption of plastic products has increased sharply. This trend has triggered profound reflection and high vigilance on the issue of plastic waste supervision. This trend has triggered profound reflection and acute vigilance regarding the regulation of plastic waste. Although the Chinese government has initiated multiple regulatory measures and achieved certain outcomes, from a macroscopic perspective, the issue of plastic waste pollution remains grave, and the relevant legal and regulatory system presents a complex situation with limited enforcement efficacy. Hence, it is exceptionally urgent and significant to deeply explore and formulate legislative strategies aimed at alleviating and regulating plastic waste pollution. This paper is dedicated to systematically analyzing the current state of plastic waste legal supervision from both international and domestic dimensions, and meticulously outlining the regulatory framework for plastic waste governance in China. Through the application of legal norm research methods, this paper dissects the flaws and challenges existing in the current governance mechanisms and further conducts a comparative study of the successful practices in this field in developed countries like the United States, with the intention of drawing valuable experiences. On this basis, this paper not only offers a forward-looking outlook on China’s future legislative tendencies in plastic waste pollution but also innovatively proposes a series of new insights and recommendations. These explorations aim to provide a more solid theoretical foundation and practical guidance for the governance approach to plastic waste pollution in China, promote the improvement and enhancement of the enforcement effectiveness of environmental regulations, and thereby effectively confront the global challenge of plastic pollution.

The goal of this work was to create and assess machine-learning models for estimating the risk of budget overruns in developed projects. Finding the best model for risk forecasting required evaluating the performance of several models. Using a dataset of 177 projects took into account variables like environmental risks employee skill level safety incidents and project complexity. In our experiments, we analyzed the application of different machine learning models to analyze the risk for the management decision policies of developed organizations. The performance of the chosen model Neural Network (MLP) was improved after applying the tuning process which increased the Test R² from −0.37686 before tuning to 0.195637 after tuning. The Support Vector Machine (SVM), Ridge Regression, Lasso Regression, and Random Forest (Tuned) models did not improve, as seen when Test R² is compared to the experiments. No changes in Test R²’s were observed on GBM and XGBoost, which retained same Test R² across different tuning attempts. Stacking Regressor was used only during the hyperparameter tuning phase and brought a Test R² of 0. 022219.Decision Tree was again the worst model among all throughout the experiments, with no signs of improvement in its Test R²; it was −1.4669 for Decision Tree in all experiments arranged on the basis of Gender. These results indicate that although, models such as the Neural Network (MLP) sees improvements due to hyperparameter tuning, there are minimal improvements for most models. This works does highlight some of the weaknesses in specific types of models, as well as identifies areas where additional work can be expected to deliver incremental benefits to the structured applied process of risk assessment in organizational policies.

The purpose of this research is to deeply examine the factors that support and hinder green economic growth in South Papua, with a specific focus on increasing awareness and capacity among local communities, developing sustainable infrastructure, and adopting clean technologies. This research utilizes a case study approach to uncover the dynamics and elements supporting the development of green economy in South Papua, particularly in Merauke Regency. Through surveys, in-depth interviews, and document analysis, data were gathered from various stakeholders, including government, communities, and the private sector. Sampling was done using purposive sampling method, ensuring the inclusion of respondents relevant to the research topic to provide a holistic understanding of the factors influencing green economy in the region. The research reveals that in Merauke Regency, the understanding of the concept of green economy among the community is still limited, highlighting the need for broader education and socialization. Factors such as government support, infrastructure availability, and community participation play a key role in driving green economic growth. However, challenges such as resource limitations and differences in perceptions among stakeholders highlight the complexity in implementing green economy. Therefore, holistic and collaborative policy recommendations need to be considered to strengthen support and effectiveness of sustainable development efforts in this region.

The main objective of the study was to assess the impact of fiscal management on macroeconomic stability in emerging countries between 2012 and 2022. The study drew on macroeconomic theory, which postulates the importance of responsible fiscal policies for economic stability. Information was taken from ten emerging Latin American countries, and the analysis was carried out through a quantitative approach, using an econometric model. A significant relationship was found between fiscal management and macroeconomic stability, evidencing that effective fiscal policies are crucial for macroeconomic stability in emerging countries. The findings emphasize that balanced fiscal management, which avoids falling into cycles of debt and deficit, is essential for long-term stability. Practices that promote fiscal stability, such as greater efficiency in public spending and effective tax collection, can contribute significantly to economic stability and sustained growth. The results also suggest that fiscal policies should take into account human development conditions and annual particularities in order to formulate effective fiscal policies. It highlights those countries with best fiscal practices, reflected in low debt-to-GDP levels and high fiscal stability, are more likely to achieve macroeconomic stability and sustainable economic growth.

The urban solid waste (USW) emanating from the increasing urbanisation calls for concern. Integrating cart pushers into the private sector participation (PSP) may bridge the lacuna in sub-urban planning and PSP truck inefficiencies, especially in developing countries. There is a paucity of studies concerning cart pushers’ role in sub-urban and issues hindering them from achieving Sustainable Development Goals (1 and 11) in developing countries. Thus, the study seeks to appraise cart pushers’ role in Nigeria’s sub- and urban areas, investigate their challenges, and propose measures to improve the achievement of the Goals by integrating them into PSP waste management systems. The researchers utilised a qualitative approach using face-to-face interviews and observation. The study covered seven of Nigeria’s major cities, including Lagos, Kano, and Abuja. Forty semi-structured interviews were conducted. The participants include selected waste managers, NGOs in waste-related matters, cart pushers, legislators, households, environment and housing experts, and solid waste government agencies/regulators. The researchers adopted a thematic approach to analyse the collected data and presented it in a theme pattern. Findings reveal that despite the significance of cart pushers to the three pillars of sustainable development, including stimulating support for potential employment creation and sustainable cities and communities in Nigeria, they face challenges in their daily operation. The study proposed a revised USWM policy, where the informal waste sector should be embraced and recognised with specific rules and regulations. This is germane to improve achieving SDGs 1 and 11. This study holds significant implications for USWM policymakers and other stakeholders in embracing and integrating cart pushers into the formal waste collection process supported by statutory regulations to enhance practice. Also, this concept will increase employment opportunities and improve achieving Goals 1 and 11 in Nigeria.