This study aims to explore the asymmetric impact of renewable energy on the sectoral output of the Indian economy by analyzing the time series data from 1971 to 2019. The nonlinear autoregressive distributed lag approach (NARDL) is employed to examine the short- and long-run relationships between the variables. Most studies focus on economic growth, ignoring sectoral dynamics. The result shows that the sectoral output shows a differential dynamism with respect to the type of energy source. For instance, agricultural output responds positively to the positive shock in renewable energy, whereas industry and service output behave otherwise. Since the latter sectors depend heavily on non-renewable energy sources, they behave positively towards them. Especially, electricity produced from non-renewable energy sources significantly influences service sector output. However, growing evidence across the world is portraying the strong relationship between the growth of renewable energy sources and economic growth. However sectoral dynamism is crucial to frame specific policies. In this regard, the present paper’s result indicates that policies related to promoting renewable energy sources will significantly influence sectoral output in the long run in India.

The projects of the IT industry are considered successful when they are completed within the timeline, budget, and client satisfaction on a specific project. Although client relationship is not given much importance in the delay of a project, through several studies it has been seen that the project is delayed in the IT industry due to a lack of awareness about the project to the client. The objective of this study is to inspect the impact of client relationships on project delay. Drawing on stakeholder theory and agency theory, this study investigates how client relationship influences project delay through project awareness and the role of project governance as moderator. A deductive approach of reasoning was used to test the hypotheses formulated under the current research work and proceed by using the quantitative method. This study employed a cross-sectional research design, where data was collected at a specific point in time through a survey strategy. Data was collected from the sample of 288 respondents from the IT companies of Rawalpindi and Islamabad. The data was collected using a convenience sampling technique. The demographics of the respondents were analyzed through the IBM-SPSS software program. The assumptions and the reliability of the model were also tested in SPSS. In this study, it was discovered that effective management of client relationships significantly reduces project delays, with project awareness being a crucial factor in this mitigation process. The results revealed that client relationship was negatively associated with project delay and project awareness. Whereas this linkage was mediated by project awareness. This study concludes that adequate project awareness and fruitful project governance reduce project delays and lead to positive client relationships.

This research can help improve public health and ensure the sustainable transformation of the food system. This study aims to analyze the success of Regional Food Security development activities through Community Empowerment with the food independent village program carried out by regional command units in the ranks of Korem 063/SGJ (Sunan Gunung Jati). This study uses qualitative descriptive with comparative methods. Population includes villages that have received the food independent village program in West Java (Kuningan, Cirebon, Majalengka, and Cirebon City) between 2009 and 2022. The research sample consisted of 4 villages selected from each of the districts/cities. The research informants totalled 37 people, consisting of stakeholders from the Korem 063/Sunan Gunung Jati Unit and its staff, the Food Security Service, village heads, affinity groups or farmers, and community leaders in the research area. The results of the study indicate that the success and failure in the implementation of the food independent village program by affinity groups and the food security development activity program by Satkowil have an effect on food availability, food distribution and food consumption. This research is expected to provide a comprehensive overview of the implementation of the food independent village program and food security development activities by regional command units in West Java.

Disability inclusion is important to ensure everybody has the same opportunities in society, which is critical in achieving the Sustainable Development Goals. Persons with Disabilities (PWDs) are one of the marginalized communities and most of them are living in poverty. Disabilities encounter many challenges internally and externally due to their disabilities. They are struggling to keep their jobs due to their own self-confidence and social stigma and entrepreneurship is said to be the best option for PWDs to gain economic liberation. However, many PWDs still depend on government assistance and public donations instead of starting their own business. This study investigates the mediating effect of entrepreneurial motivation on the relationship between internal and external factors of PWDs’ perceptions of entrepreneurship in Malaysia. A quantitative approach to the survey was carried out. A sample of seventy-seven PWDs was gathered using face-to-face and online surveys through purposive sampling. The data were analyzed using structural equation modelling. The results show that only internal factors influence PWDs’ entrepreneurial personal perception. Entrepreneurial motivation plays a crucial mediating role in the relationship between internal and external factors and entrepreneurial personal perception. The study is helpful for the relevant parties to assist PWDs in becoming financially independent through entrepreneurship by focusing more on their internal strengths. Proper training and coaching assist PWDs in being more resilient when facing adversity.

 Public-private partnerships (PPPs) are vital for infrastructure development in developing countries, integrating private efficiency with public oversight. However, PPP models often face risks, particularly in Indonesia’s water sector, due to its unique geographical and regulatory challenges. This study aims to identify and evaluate risk factors specific to drinking water PPP projects in Indonesia. Using a quantitative approach, structured questionnaires were distributed to experts in the sector, and the data was analyzed using a fuzzy evaluation method. Risks were categorized into location, design and construction, financial, operational, revenue, and political. The study emphasizes that effective risk management, including identification, analysis, and mitigation, is essential for project success. It highlights the importance of stakeholder involvement and flexible risk management strategies. Comprehensive and proactive risk management is key to the success of drinking water infrastructure projects. The research suggests that an integrated and collaborative approach among stakeholders can enhance risk management effectiveness. These findings provide valuable insights for policymakers, project managers, investors, and other stakeholders, underscoring the necessity for adaptable regulatory frameworks and robust policy guidelines to improve the sustainability and efficacy of future water-related PPPs.

The relationship between aid and corruption remains ambiguous. On the one hand, aid may benefit a country if the aid management system runs efficiently and transparently. On the other hand, aid tends to create new problems, namely corruption, especially in developing countries. This research examines the aid-corruption paradox in Indonesian provinces from a spatial perspective. The data was obtained from the Indonesian Ministry of Finance, the National Development Planning Agency of Indonesia, the Corruption Eradication Commission of Indonesia, and the Electronic Procurement Service, referring to 34 Indonesian provinces between 2011 and 2019. The research applies the spatial panel method and uses Haversine distance to construct the weighted matrix. The spatial error model (SEM) is the best for Model 1 (Grants) and Model 2 (Loans) and the best corruption model in Model 3 (Gratification). The spatial autoregressive model (SAR) is the best approach for Model 4 (Public Complaints) and Model 5 (Corruption). The findings show that there is no spatial dependence between provinces in Indonesia in terms of grants or loans. However, corruption in Indonesia is widespread.