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Dinamika Kinerja Penyaluran ZISWAF Antar provinsi di Indonesia: Analisis Discrete-Time Markov Chain Berbasis Python Aninta Gina Sharfina; Arta Amaliah Nur Afifah; Andi Agusti Ahmad Kurniawan; Aulia Lestari; Andi Nur Pratiwi Fatmala; Nur Hayatiningsih
Global Leadership Organizational Research in Management Vol. 4 No. 3 (2026): Global Leadership Organizational Research in Management
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/glory.v4i3.3824

Abstract

The effectiveness of Zakat, Infaq, Sadaqah, and Waqf (ZISWAF) management depends not only on the amount of funds collected but also on the sustainability of their distribution performance across regions. However, previous studies have primarily employed static approaches, providing limited evidence on how distribution performance changes over time. This study aims to analyze the dynamics of ZISWAF distribution across Indonesian provinces using a Discrete-Time Markov Chain approach. The study uses panel data from 34 provinces during 2019–2023 obtained from the National Board of Zakat (BAZNAS). The analysis includes the Transition Probability Matrix, Persistence Rate, Steady-State Probability, Mobility Index, Expected Duration, and a robustness check. The findings indicate that ZISWAF distribution is characterized by high stability, with the highest persistence observed in the high-distribution category. Transitions occur mainly between adjacent categories, while direct movement between low and high categories is absent, indicating a gradual improvement process. In the long run, the system is projected to converge toward the high-distribution category. These findings provide empirical evidence that provincial distribution performance is relatively stable and evolves incrementally. The study contributes to the literature by applying a dynamic approach to evaluate ZISWAF distribution and offers evidence-based insights for strengthening institutional capacity, governance, and distribution strategies across provinces
Green Growth in OIC Countries: Symmetric and Asymmetric Dynamics of Institutions, Finance, and Environmental Technology Aninta Gina Sharfina
Jurnal Dinamika Ekonomi Pembangunan Vol 7, No 1 (2024): APRIL
Publisher : Faculty of Economics and Business, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jdep.7.1.70-86

Abstract

Green growth seeks to reconcile economic expansion with the preservation of natural resources essential for future development. However, the factors shaping green growth in member countries of the Organization of Islamic Cooperation (OIC) remain insufficiently understood. This study investigates the relationship between institutional quality, financial development, environmental technology, and green growth in Indonesia, Malaysia, Egypt, Uganda, Tunisia, Bangladesh, and Nigeria over the period 2002–2020. Using 133 country-year observations, the analysis employs linear and nonlinear panel autoregressive distributed lag (ARDL and NARDL) models, with the Hausman test results supporting the use of the pooled mean group (PMG) estimator. The findings identify environmental technology as the factor most strongly associated with green growth, exhibiting a positive long-run relationship but a negative short-run effect. The nonlinear estimates further suggest that this long-run relationship is driven primarily by periods of declining environmental innovation. Institutional quality is positively associated with green growth in the long run, while institutional deterioration appears to offset gains of a comparable magnitude. Financial development, by contrast, shows no significant long-run benefit and is negatively associated with green growth in the short run. However, as the equality of coefficients associated with positive and negative changes was not formally tested, the estimated asymmetries should be interpreted as indicative rather than conclusive. These findings highlight the importance of strengthening institutional capacity, aligning financial resources with green investment priorities, and maintaining stable support for environmental innovation.