Central Sulawesi has been grappling with significant challenges in human development, as indicated by its Human Development Index (HDI). Despite recent improvements, the region still lags behind the national average. Key issues such as high poverty rates and malnutrition among children, particularly underweight prevalence, pose substantial barriers to enhancing the HDI. This study aims to analyze the impact of poverty, malnutrition, and household per capita income on the HDI in Central Sulawesi. By employing panel data regression analysis over the period from 2018 to 2022, the research seeks to identify significant determinants that influence HDI and provide evidence-based recommendations for policy interventions. Utilizing panel data regression analysis with a Fixed Effect Model (FEM), the study reveals that while poverty negatively influences with HDI, underweight prevalence is not statistically significant. In contrast, household per capita income significantly impacts HDI, with lower income levels leading to declines in HDI. The findings emphasize the need for comprehensive policy interventions in nutrition, healthcare, and economic support to enhance human development in the region. These interventions are crucial for addressing the root causes of underweight prevalence and poverty, ultimately leading to improved HDI and overall well-being. The originality of this research lies in its focus on a specific region of Indonesia, providing localized insights and recommendations that are critical for targeted policy making.
This study analyzes the highly disruptive transportation business in Indonesia. The purpose of observation is to completely synthesize disruptive transportation that causes bad externalities in society. Data sources come from primary data of interviews and secondary data of related literature. The research method uses critical qualitative with a combination of in-depth interviews with several stakeholders. Key findings suggest that trust, consistency, capital ownership and proximity of new entrants to incumbents are important in disruptive innovation processes, empirical implications that transportation in Indonesia has undergone a definite economic shift. The results showed that although the government has publicly expressed its full support for any individual who will develop a business in the digital economy model, it is not effective enough to be consistent in the transportation business. Policy recommendations include adaptive training incentive programs for incumbent groups and accelerated funding assistance for new entrant groups, in addition to strengthening active collaboration between the government and the private sector is urgently needed.
This study investigates the relationship between the disclosure of historical tourism information by local governments and tourism performance in Indonesia. Employing a quantitative research design, data were collected from 152 respondents, including local government officials, tourism stakeholders, and community members, using a purposive sampling method. This approach ensured the inclusion of participants with direct knowledge and involvement in historical tourism activities. Data analysis was conducted using IBM SPSS software, utilizing descriptive statistics, correlation, and multiple regression analysis to examine the relationships between variables. The results indicate that effective disclosure practices positively impact tourism performance, with key factors including the involvement of regional heads, legislative councils, mass media, tourism business actors, investment value, tourism budgets, and grant expenditures. The study highlights the importance of transparency and comprehensive information dissemination in enhancing tourism performance. Future research should explore the role of digitalization and innovative technologies in improving historical tourism disclosure and performance. These findings have significant implications for policymakers and practitioners in the tourism sector, emphasizing the need for robust disclosure practices to foster tourism development and economic growth.
Online transportation is a new type of service equipped with an internet network, and its presence in Indonesia is considered a service that disrupts the transportation sector. The government is faced with a complex policy problem to regulate online transportation. This article aims to reveal the role of policy actors in the media regarding policy issues and online transportation policy solutions. This article used qualitative analysis and the NPF policy narrative framework approach. This study found that licensing issues and Permenhub were problems that the DIY and Riau governments shared. More specific problems in Riau Province are related to violence issues, and that in DIY are related to congestion problems. The policy solution recommended by policy actors to the media is to make regional level regulations that technically regulate online transportation according to the area conditions.
This study aims to identify gaps in Indonesia’s national social health insurance scheme (Jaminan Kesehatan Nasional or JKN) in meeting the right to health for disabled persons in the country and to propose strategies to mitigate the gaps. This study employed descriptive qualitative methodologies. A questionnaire survey and structured interviews were undertaken from the period of October to December 2021, with a purposive sample of 317 disabled persons at their working age. Data collection also included on-site observations to sample of healthcare providers in six provinces and focused group discussions with key stakeholders. This study found that JKN is the primary source of hope for disabled persons. Nevertheless, approximately ten percent of disabled persons have been omitted from the scheme. Moreover, respondents of the survey expressed notably lower satisfaction level compared to the national average. Meanwhile, 25% of them also reported that JKN did not cover certain disability-specific benefits. The findings suggest that the national social health insurance scheme is not well prepared to offer disability-inclusive services. Thereby, policymakers should implement various interventions to improve the admission processes for disabled persons and to develop a system to identify disabled members based on their specific disabilities. Additionally, stipulating standards for disability-friendly minimum services for healthcare providers and incorporating the standards into the credentialing systems, providing regular training on disability-friendly services for healthcare personnel, also enhancing benefits coverage for disabled members in the Indonesian Case Base Groups (INA-CBGs) are the necessary strategies to mitigate the gaps.
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.
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