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Model Adaptive Collaborative Governance In Extreme Poverty Alleviation In Pekalongan Regency M. Yulian Akbar; Hardi Warsono; Teguh Yuwono; Bangkit Aditya Wiryawan
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 3 No. 4 (2026): Juni
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/sipakatau.v3i4.1035

Abstract

Extreme poverty is a multidimensional public policy challenge that requires integrated and adaptive governance beyond sectoral government interventions. This study aims to develop an Adaptive Collaborative Governance Model for extreme poverty alleviation in Pekalongan Regency, Indonesia. A qualitative case study approach was employed to examine governance practices, stakeholder interactions, institutional arrangements, and adaptive capacities. Data were collected through interviews, focus group discussions, observations, and document analysis involving government agencies, village administrations, community representatives, academics, private sector actors, civil society organizations, and social facilitators. Data were analyzed using an interactive model of data condensation, data display, and conclusion drawing. The findings show that existing governance arrangements have established institutional structures, multi-sectoral programs, and stakeholder participation mechanisms. However, their effectiveness is constrained by fragmented poverty data, limited information integration, uneven participation, sectoral coordination, and weak policy learning processes. Collaborative governance has emerged through stakeholder engagement and coordination forums but remains largely administrative and insufficiently adaptive. Supporting factors include strong local government commitment, integrated planning, stakeholder engagement, data verification mechanisms, and the Poverty Laboratory as a collaborative platform. Key obstacles include fragmented information systems, overlapping programs, and limited community participation. Based on these findings, the study proposes an Adaptive Collaborative Governance Model integrating collaborative governance principles with adaptive governance capacities through the Poverty Laboratory. The model consists of integrated poverty data, collaborative platforms, community participation, economic empowerment, and adaptive learning. This study contributes to collaborative governance theory and offers a practical framework for sustainable extreme poverty alleviation at the local government level.
Geographic Barriers and Extreme Poverty: Micro-Spatial Evidence from the Riau Islands Province Nur Aisyah Fatmasari; Hardi Warsono; Kismartini Kismartini; Budi Puspo Priyadi
Jurnal Ilmiah Akuntansi Kesatuan Vol. 14 No. 2 (2026): JIAKES Edisi April 2026
Publisher : Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jiakes.v14i2.5107

Abstract

Extreme poverty in archipelagic regions is strongly shaped by geographical constraints such as inter-island isolation, weak connectivity, and high logistics and basic service costs, with the Riau Islands Province showing pronounced and uneven poverty across sub-districts. This study aims to analyze the relationship between geographical constraints and extreme poverty, as well as to identify spatial clustering patterns that can inform more targeted policy interventions. The study employs a quantitative approach using microdata on extremely poor households. The analysis applies Spearman’s rank correlation to examine the relationship between variables, along with Global Moran’s I and Local Indicators of Spatial Association to detect spatial autocorrelation and clustering patterns. The findings indicate a significant positive relationship between geographical constraints and extreme poverty, showing that stronger spatial barriers are associated with deeper and more severe poverty conditions. Spatial analysis further reveals the presence of distinct high-poverty clusters across several sub-districts in multiple regencies and cities. These results highlight the importance of place-based policy approaches that are sensitive to local spatial conditions. Such policies are essential for addressing uneven development and improving the effectiveness of poverty reduction strategies at the sub-district level in archipelagic regions.