Environmental, social and governance (ESG) goes beyond its function as a business to maximize profits for the shareholders to work for societal purposes. Meanwhile, the green credit policy in China is still in its infancy, and the impact of green loans on the efficiency of commercial banks is significantly different. In this context, this paper details the company’s performance in crucial aspects such as low-carbon operations, eco-friendly financial innovation, a sustainable economic system, data security and the development of organizational capabilities to provide a sustainable development paradigm for supply chain finance technology peers. Based on ESG portfolio, we found that adding ESG holdings to a company affects its compliance with delivery or environmental rules, and anode and cathode of ESG combined Dual Carbon (DC) are presented in terms of emission levels. Our further research indicates the implementation of Green Credit Guideline has a positive impact on ESG performance of both green and polluting firms in comparison with others. The result was fully supported by different methods and models including PSM-DID (Propensity Score Matching-Differences-in-Differences), QDID (Quantiles Differences-in-Differences), and Kernel approaches, which can provide more implications and references for policy makers. Investors, politicians, and other essential stakeholders perceive ESG as a strategy to protect enterprises from future risks.

This work centres on the contribution of the Nigerian government’s Anchor Borrowers’ Programmes on rice production in the country. This study employs quantitative methodology and with a primary objective to dissect the efficacy of modern farming techniques facilitated by the Anchor Borrowers’ Programmes (ABP), evaluates the advantages and disadvantages inherent in rice production under this programme. Conducted within the agricultural landscape of Ebonyi State, Nigeria, this study adopts a cross-sectional survey approach to gauge the symbiotic relationship between rice production and the ABP. Targeting a cohort of rice smallholder farmers who have directly benefited from the program, the work employs stratified random sampling and purposeful selection techniques to guarantee comprehensive representation within a population of 400 respondents. This study utilizes the mixed-methods approach to data collection, including structured questionnaires administered to rice farmers in Ebonyi State, Nigeria. This research tests hypotheses by utilising statistical tools such as regression analysis. The outcome of this study underscores the imperative for continued support and refinement of the Anchor Borrowers’ Programme. Moreover, it elucidates the pivotal role of financial institutions and agricultural lending agencies in equipping farmers with the requisite skills and resources. Ultimately, this study affirms the crucial role of modern farming methodologies in propelling rice production within Ebonyi State, Nigeria. It recommends that young school leavers, especially those in the rural areas should also be encouraged to venture into agriculture through schemes such as the ABP, bank financing and innovative financing so as to help the Federal Government achieve its economic diversification drive.

This study aims to evaluate the influence of population dependency ratio on the economic growth of Bangladesh, India, and Pakistan, the three members of the South Asian Association for Regional Cooperation (SAARC). The study covers the time from 1960 to 2021. It also analyses in detail how population aging and the youth dependency ratio affects the development of certain sectors, including industry, services and agriculture. This study uses panel data to determine the influence of population dependency ratios on economic growth. To estimate this effect, we use the Pooled Mean Group/Autoregressive Distributed Lag (PMG/ARDL) technique. Based on the results obtained from the ARDL analysis indicate the presence of a long-term relationship among these variables. These discoveries align with prior empirical research conducted by Lee and Shin, Mamun et al., and Rostiana and Rodesbi. Furthermore, the findings suggest that an increase in the old age population dependency ratio positively influences economic growth within these nations. The long-term relationship findings pertaining to the old and young dependency ratio and economic growth corroborate the conclusions of Bawazir et al., who proposed that the old population dependency ratio exerts a favorable impact, while the young population has an adverse effect on economic growth. Originality: This research focused on the population dependency ratio, a pivotal demographic metric that gauges the proportion of individuals relying on support (including children and the elderly) compared to those of working age. This investigation particularly explores the interconnection between the population dependency ratio and sectoral development, an essential aspect given that various sectors make distinct contributions to economic advancement. Examining how population dynamics affect sectoral development yields valuable insights into the overall economic performance of Pakistan, India, and Bangladesh.

This paper investigates the transformative role of Artificial Intelligence (AI) in enhancing infrastructure governance and economic outcomes. Through a bibliometric analysis spanning more than two decades of research from 2000 to 2024, the study examines global trends in AI applications within infrastructure projects. The analysis reveals significant research themes across diverse sectors, including urban development, healthcare, and environmental management, highlighting the broad relevance of AI technologies. In urban development, the integration of AI and Internet of Things (IoT) technologies is advancing smart city initiatives by improving infrastructure systems through enhanced data-driven decision-making. In healthcare, AI is revolutionizing patient care, improving diagnostic accuracy, and optimizing treatment strategies. Environmental management is benefiting from AI’s potential to monitor and conserve natural resources, contributing to sustainability and crisis management efforts. The study also explores the synergy between AI and blockchain technology, emphasizing its role in ensuring data security, transparency, and efficiency in various applications. The findings underscore the importance of a multidisciplinary approach in AI research and implementation, advocating for ethical considerations and strong governance frameworks to harness AI’s full potential responsibly.

This study examines the impact of parliamentary thresholds on the Indonesian political system through the lens of the Routine Policy Implementation Model and the Strategic Policy Implementation Model. The main objective is to evaluate the effectiveness of parliamentary thresholds in managing political fragmentation, assess their impact on stability and representation in the legislative system, and understand their implementation’s technical and strategic implications. Using a qualitative approach supported by interview studies and field observations, this research combines analysis of election data in the 2009, 2014, and 2019 elections with a qualitative assessment of policy changes and political dynamics. The Routine Policy Implementation Model focuses on the technical aspects of threshold implementation, including vote counting procedures and seat allocation efficiency. Meanwhile, the Strategic Policy Implementation Model examines the broader implications of these thresholds for political consolidation, government effectiveness, and the representation of minor parties. The results show that the parliamentary threshold has significantly reduced political fragmentation by consolidating the number of parties in Parliament, resulting in a legislative system that is cleaner and easier to administer. However, this consolidation has also marginalized small parties and limited political diversity. The novelty of this study lies in its comprehensive analysis of how parliamentary thresholds affect administrative efficiency and strategic political stability in Indonesia, compared to democratic countries in transition, such as Slovenia and Montenegro. In conclusion, although parliamentary thresholds have increased political stability and government effectiveness, they have also raised concerns about the reduced representation of small and regional parties. The study recommends maintaining balanced thresholds that ensure stability and diversity, implementing mechanisms to review thresholds periodically, and involving diverse stakeholders in adjusting policies to reflect evolving political dynamics. This approach will help balance the need for a stable legislative environment with broad representation.

This study explores the Nyalamaq Dilauq tradition in Tanjung Luar, South Lombok, examining its role as a cultural policy for promoting social integration and cohesion in coastal communities. The Nyalamaq Dilauq tradition, deeply embedded in the lives of Tanjung Luar residents, serves as a powerful mechanism for fostering a harmonious and united community despite ethnic and cultural diversity. Through a qualitative approach involving interviews, participatory observations, and documentation, the research delves into the historical context, rituals, and ceremonies of the tradition, highlighting its significance in building social bonds and mutual respect among diverse ethnic groups. The findings reveal that the Nyalamaq Dilauq tradition enhances community resilience, supports economic interdependence, and attracts tourism, thereby contributing to the overall well-being of the coastal communities. This study provides valuable insights into the potential of cultural traditions to serve as models for social integration in other multicultural and multi-ethnic contexts.