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Concentration and efficiency of sharia general insurance: Granger causality test approach Sunarmo Sunarmo; Maman Setiawan; Cupian Cupian
Referensi Islamika: Jurnal Studi Islam Vol. 4 No. 4 (2026): August
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/ri.v4i4.660

Abstract

Purpose – This study aims to examine the relationship between concentration and efficiency in the Indonesian Sharia general insurance industry and to identify the direction of causality between variables. Design – A quantitative approach is employed using data from 2018–2023. Market concentration is measured using the Herfindahl–Hirschman Index (HHI), while efficiency is estimated through Data Envelopment Analysis (DEA). The dynamic relationship is analyzed using a Vector Autoregression (VAR) framework, including stationarity testing, optimal lag selection, and stability testing. The causal relationship is further investigated using Granger causality. Findings – The findings indicate that although market concentration demonstrates a gradual upward trend and efficiency levels vary across firms, the Granger causality analysis provides no evidence of a statistically significant causal relationship between the two variables. Specifically, neither market concentration Granger-causes efficiency nor efficiency Granger-causes concentration. Research Implications – The findings imply that market structure, as reflected by concentration levels, does not directly determine efficiency performance in the Indonesian Islamic general insurance industry. This suggests that firm-level factors such as managerial capability, resource allocation, and operational strategy play a more critical role in driving efficiency than external market concentration. Thus, policymakers should focus on strengthening firm competitiveness and operational performance rather than relying solely on market structure adjustments. Originality – The novelty of this research lies in integrating concentration and efficiency with VAR Granger Causality approaches to analyze the dynamic interaction between market concentration and efficiency in the Sharia general insurance industry.
ANALISIS EFISIENSI DAN FAKTOR-FAKTOR YANG MEMPENGARUHINYA PADA KANTOR CABANG BANK JAKARTA Fitriyanto Fitriyanto; Maman Setiawan; Rudi Kurniawan
Media Ekonomi Vol. 33 No. 2 (2025): Oktober
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v33i2.27659

Abstract

This study aims to evaluate the relative operational efficiency of Bank Jakarta branches and identify the operational factors influencing branch-level efficiency using a two-stage DEA–Tobit approach. By utilizing exclusive internal branch-level data and a pooled frontier framework, the study provides empirical evidence on operational efficiency at the micro-operational level of a Regional Development Bank during the digital transformation era. This study utilizes a two-stage analytical approach. The first stage employs Data Envelopment Analysis (DEA) with the BCC model (Variable Return to Scale) and an output orientation. To establish a consistent efficiency benchmark, a pooled frontier approach is applied to a total of 224 observations, which are derived from 112 branch offices observed over two annual periods (2024 and 2025). The second stage employs the Tobit Regression model to identify the determinants of efficiency, including the number of employees, branch class, service type, geographic location, branch age, and a year dummy. Bank Jakarta branches currently operate at approximately two-thirds of their potential output, with inefficiency primarily driven by structural scale sub-optimality rather than purely managerial failures. Findings underscore that human capital remains a vital complementary driver of productivity alongside digital services, while branches located in the Jabodetabek area leverage a dominant structural advantage through their proximity to the Jakarta government ecosystem. Conversely, the negative impact of branch age suggests that senior units struggle with organizational inertia and aging infrastructure. These results necessitate a shift from uniform top-down targeting to data-driven benchmarking using DEA-based projections to establish realistic, unit-specific performance targets and address the network's significant performance gaps.