ARTICLE | doi:10.20944/preprints202304.0740.v1
Subject: Social Sciences, Other Keywords: Poverty: Non-Cash Food Assistance; Stunting; Economic Growth; Public Private Partnership
Online: 23 April 2023 (03:27:09 CEST)
Poverty alleviation must be carried out in a planned and sustainable manner by the central government and regional governments, the private sector, and the entire community to achieve a prosperous society by getting special attention from the government. This study aims to analyze the impact of the non-cash food assistance program on poverty alleviation, stunting and economic problems using a public private partnership (PPP) approach that involves the role of the government, the private sector and the community. This study uses a qualitative-explorative research method to examine Indonesia's non-cash food assistance program as a national initiative to fight poverty in the form of food. Data were collected from interviews, field observations, and relevant literature, then Nvivo 12 Pro was used to analyze the results. The location of this research is in Indonesia, namely Takalar Regency. The results of the study show that the implementation of the non-cash basic food assistance program has been effective. The involvement of the government, the private sector, and the community shows this. The success factors for the basic food assistance program are alleviating poverty in Indonesia, reducing stunting rates, and increasing economic growth because people are given a place to be part of small businesses. From the results of this analysis it was concluded that the non-cash basic food assistance program is a special program that can overcome various social problems in society. So that poverty alleviation programs are expected to be sustainable and improved to provide benefits for people's welfare. The implementation of the food aid program also involved several cross-sectoral efforts to channel government assistance.
ARTICLE | doi:10.20944/preprints202304.0584.v1
Subject: Social Sciences, Government Keywords: Economic activity; Computable General Equilibrium (CGE); Sustainable Development Goals (SDG’s); COVID-19
Online: 19 April 2023 (10:25:30 CEST)
The COVID-19 pandemic has not only affected public health but has also significantly impacted the economy. Bandung, a bustling city in Indonesia serving as a satellite to the capital, has been hit hard due to its high population density, mobility, and reliance on the tourism, trade, and transportation sectors. Using a Computable General Equilibrium (CGE) model developed at the inter-regional level of Indonesia, this study investigates the microeconomic indicators of several economic activities in Bandung to assess the impact of the pandemic. Additionally, the study examines the role of private sector actors in contributing to the sustainable recovery efforts toward achieving Sustainable Development Goals (SDGs) amidst the pandemic. The findings reveal that Bandung's transportation, accommodation, food and beverage, water supply, and trade sectors experienced a significant decline in economic activity. However, there was a gradual recovery with increased economic activity between 2019 and 2021. Private sector actors and the health sector were the main drivers of economic recovery, with other sectors also contributing to the efforts.
ARTICLE | doi:10.20944/preprints202306.1598.v2
Subject: Social Sciences, Decision Sciences Keywords: social network analysis; cidanau watershed management; fkdc; Banten province
Online: 11 July 2023 (08:25:51 CEST)
Social network analysis is extensively employed for the examination of relationships and networks among actors across diverse disciplines and thematic research domains. Nevertheless, the utilization of this approach in agriculture and natural resources, particularly pertaining to watershed management, has been relatively limited. The objective of this study is to conduct an analysis of the social interaction and networks of Cidanau Watershed Management (CWM) stakeholders and measure the nodes of units as individuals or organizations in relation to the role and influence of each other through a quantitative approach. The results of the data analysis show that Fkdc has a high degree of centrality and centrality betweenness. This shows that Fkdc has a strong influence and controls CWM network interaction. Conversely, Hs (households) have a low degree of centrality, and centrality betweenness values have a low influence and role in actors’ networks. According to the closeness centrality parameter, it is observed that both Households (Hs) and Universities (Univ) have exhibited the shortest geodesic distance in relation to other stakeholders within the network, thus indicating their highest level of closeness. It means that households and universities had interdependency and were controlled by others. The lowest centrality of Fkdc means that Fkdc has independence of influence and high control access over others. There are four CWM network clusters based on total link strength. Fkdc demonstrates outstanding leadership qualities, enjoys a strong reputation, and possesses a high degree of popularity within the network. Furthermore, Fkdc serves as a positive central node that effectively brings together the interests of all actors, fostering a collective commitment towards shared goals and mutual rewards. In the CWM case, Fkdc is a sustainable watershed organization that acts as a central network body and plays a fundamental role as an intermediary between networks and interactions. Ultimately, with regards to the viewpoint of CWM, the decentralization of watersheds aimed to facilitate wider public engagement by establishing Fkdc as a central network entity and assuming a crucial role as a medium for the dissemination of information, exchange of ideas, and the exertion of influence among its members.