This study examines the crucial role of digital marketing in promoting sustainable tourism in the villages of Bali. It adopts a mixed methods approach, using qualitative and quantitative data collection and analysis. The qualitative data were obtained from semi-structured interviews with management teams who have experience in implementing digital marketing strategies for village tourism. The interviewees were selected using a purposive sampling technique. The quantitative data were gathered from questionnaires distributed to domestic tourists who visited the villages. The questionnaires measured the tourists’ perceptions of digital marketing as a tool for village tourism marketing. The study found that digital marketing plays a vital role in promoting tourism villages, as most tourists learned about the villages through online media. The study also identified five dimensions of digital marketing, namely website media, social media, search engines, email marketing, and online advertising, which have potential effects on the sustainability of tourism villages. The study conducted statistical tests to examine the effects of 20 indicators of digital marketing on village tourism marketing. The results showed that 16 indicators had a significant positive effect, while four indicators had no effect. These findings suggest that digital marketing is an effective way to market tourism villages and enhance their sustainability.

This paper aims to shed light on community-based disaster mitigation and the challenges encountered by using the Pangandaran coast as a case study, one of Indonesia’s disaster-prone areas. Observations, in-depth interviews, and documentation studies were used to collect data. The findings of this study indicate that community-based disaster mitigation is well realized, as evidenced by community early preparedness forums collaborating with the government to provide socialization and education to the community. However, disaster preparedness still faces challenges, including; since some of the mitigation objects are tourists, mitigation efforts need to be carried out sustainably while not following the budget they have; mitigation support devices and facilities such as damaged or missing signs for evacuation routes, temporary shelters, assembly point locations, and Early Warning System (EWS) devices whose number is still not optimal; lack of participation of hotels or restaurants in disaster mitigation, especially in engaging in preventive actions to minimize disaster risk. This situation is a challenge in itself for disaster mitigation management, moreover, Pangandaran Village must maintain its status as a “Tsunami Ready” village.

This study investigates the impact of corporate carbon performance on financing costs, focusing on S&P 500 companies from 2015 to 2022. Utilizing a fixed-effects regression model, the research reveals a complex U-shaped nonlinear relationship between carbon intensity (CI) and cost of debt (COD). The sample comprises 2896 firm-year observations, with CI measured by the ratio of Scope 1 and 2 greenhouse gas (GHG) emissions to annual sales. The findings indicate that companies with higher CI initially face increased COD due to heightened regulatory and operational risks. However, as CI falls below a certain threshold, further reductions in emissions can paradoxically lead to increased COD, likely due to the substantial investments required for advanced technologies. Additionally, a positive relationship between CI and cost of equity (COE) is observed, suggesting that shareholders demand higher returns from companies with greater environmental risks. These results underscore the importance of balancing short-term and long-term environmental strategies. The study highlights the need for corporate managers to communicate the long-term benefits of environmental efforts effectively to creditors and investors. Policymakers should consider these dynamics when designing regulations that incentivize lower carbon emissions.

The COVID-19 pandemic prompted global crises and enforced strict measures like the Movement Control Order (MCO) in Malaysia, significantly impacting societal norms, particularly affecting secondary school students. The current study employs a qualitative methodology to determine how COVID-19 affects the life stress experienced by secondary school students. Secondary school students were recruited in Sabah, Malaysia, from April to August 2022, after Malaysia entered the endemic phase on 1 April 2022. As part of a larger survey, students were asked to respond to an open-ended question about life stressors they face as a result of the pandemic COVID-19 or during home-based teaching and learning (PdPR). A total of 1069 secondary school students from various backgrounds were included in the study. However, only 714 students responded to the open-ended question. The pattern of meaning across the texts was determined using Birks and Mills’s method of multilevel coding. The students’ perspectives on life stressors were classified into five broad categories: restriction stress, emotional stress, online study stress, family-related stress, and others-related stress. Restriction stress, which refers to being confined at home, restricted movement, hampered family, friendship, and outdoor activities, and no freedom were rated as the most significant life stressors associated with the COVID-19 pandemic by students. This research provides valuable insights for policymakers, educators, and parents, emphasizing the profound effect of pandemic-induced restrictions on student life and the essential role of targeted interventions in fostering resilience among students.

This study aims to identify the impact of inheritance literacy, inheritance socialization, inheritance stress, and peer influence on the inheritance behaviors among FELDA communities in Malaysia. Inheritance literacy pertains to individuals’ comprehension of wealth transfer and estate planning, while peer influencer evaluates friends’ impact on inheritance attitudes; inheritance socialization explores family interactions’ role in shaping inheritance attitudes, and inheritance stress measures emotional strain in inheritance matters, with inheritance behaviors encompassing asset management and wealth transfer decisions for future generations by individuals and families. Understanding inheritance behaviors is crucial, as it helps individuals depict their inheritance knowledge and attitudes toward FELDA inheritance better, fostering a more favorable inheritance attitude. Through self-administered survey questionnaires, data related to FELDA communities are obtained using convenience sampling from 413 respondents. This study applies Partial Least Squares Structural Equation Modeling (PLS-SEM) technique to test the research hypotheses. The present study’s outcome confirms that two determinants, which are inheritance literacy and inheritance socialization significantly influence the inheritance behavior of FELDA communities. However, inheritance stress and peer influence determinants have statistically insignificant influence inheritance behavior. This study’s theoretical framework enriches the discussions on wealth management and financial behavior by refining and expanding upon existing financial behavior theories to incorporate inheritance-specific behaviors. The present study is exclusive in its effort to ascertain the relative importance of both inheritance behavior and the FELDA communities. This paper will assist the government, inheritance service providers, and policymakers in offering innovative economic schemes and designing policies that may enhance the inheritance behavior wellbeing of FELDA communities. This article also provides a roadmap to guide future research in this area.

The female labor force participation holds significant implications for various aspects of society, the economy, and individual lives. Understanding its significance involves recognizing the multifaceted impact of women’s participation in the workforce. In this context, the current study investigates the factors influencing the female labor force participation rate in Saudi Arabia while using a set of independent variables such as GDP growth, employment-to-population ratio, inflation, urban population growth, tertiary school enrollment, labor force with advanced education, fertility rate, and age dependency ratio, covering a period from 2000 to 2022. The results reveal that the employment-to-population ratio, inflation rate, urbanization, and age dependency ratio have positive and statistically significant impacts on the female labor force participation rate. This research offers valuable insights for formulating policies to foster female empowerment and overcome the obstacles that hinder their economic participation.