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Muslim Business and Economic Review
Published by Universitas Islam Internasional Indonesia
ISSN : 28292499     EISSN : 29626471     DOI : https://doi.org/10.56529/mber
Core Subject : Economy,
Economics, Econometrics & Finance
Focus: the journal welcomes strong empirical studies and results-focused case studies that share research in current progress of Islamic Economics, Banking, Finance, and sustainable development. Scope: 1) Islamic economics, Digital economy, Political economy; 2) Trends and opportunities in Islamic Finance, Islamic banking and financial markets; 3) Islamic social finance (ZISWAK), Corporate social responsibility, governance; 4) Sustainable Development, Green economy, and SDGs; and 5) Halal and creative Industry (food, fashion, tourism).
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 63 Documents
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Economic Growth and Environmental Sustainability: Empirical Investigation of Bangladesh, India, and Pakistan Ajibu Jonas; Imran Ali
Muslim Business and Economics Review Vol. 5 No. 1 (2026)
Publisher : Universitas Islam Internasional Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56529/mber.v5i1.590

Abstract

This paper examines the long- and short-term relationships between economic growth, trade, industrialization, renewable energy consumption, and environmental degradation in Bangladesh, India, and Pakistan from 1990 to 2022. It uses a panel autoregressive distributed lag (ARDL) approach and employs correlation analysis, panel cointegration tests, and pooled ARDL to capture the dynamic interactions among variables. The results indicate a positive long-term relationship between gross domestic product growth and carbon dioxide emissions, supporting the Environmental Kuznets Curve hypothesis. Trade and industrial growth also have a significant positive impact on emissions in the long run. Conversely, renewable energy consumption consistently shows a negative relationship with carbon dioxide emissions in both the short and long term, highlighting its importance in reducing environmental degradation. The agriculture sector displays a mixed impact, contributing to emissions primarily through land-use changes. The error correction term from the panel ARDL model is statistically significant, confirming long-run equilibrium relationships. The study finds robust evidence of cointegration among the variables, suggesting that the countries are on a convergent path in terms of balancing economic growth and environmental sustainability. Policy recommendations include the enforcement of stricter environmental regulations, promotion of renewable energy, and sustainable trade practices to mitigate environmental harm while fostering economic growth.
Artificial Intelligence, Firm Heterogeneity, and Labor Market Adjustment: Evidence from Service and Industrial Tech Sectors in Italy Ebrima K. Ceesay; Mamadou Salieu Jallow; Cosimo Magazzino; Alasana Gitteh; Baseedy Bojang
Muslim Business and Economics Review Vol. 5 No. 1 (2026)
Publisher : Universitas Islam Internasional Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56529/mber.v5i1.591

Abstract

This study assesses how changes in AI patent stock affect employment, wages, productivity, and labor cost shares. It compares pooled estimates with firm-specific effects for UniCredit and Zerynth in Italy, representing the banking services and industrial tech sectors, respectively. Using a firm-level panel dataset from 2005 to 2024, the study applies task-based and skill-biased technological change frameworks to analyze how exposure to Artificial Intelligence (AI), proxied by AI patent stock, affects labor-market dynamics in the Italian economy. Our empirical strategy used fixed-effects regressions. The results show a dual pattern of technological adjustment. In pooled models, AI-related innovation has a positive and statistically significant effect on labor-market outcomes. However, when firms are analyzed separately, the effects diverge. For UniCredit, AI patent stock reduces employment and labor cost shares while raising productivity growth, with wage effects remaining small or insignificant. On the other hand, for Zerynth, AI patent stock produces consistently negative and significant effects on employment, wages, and labor cost shares. Overall, the findings highlight strong task-level substitution but heterogeneous firm-level outcomes, underscoring the need for targeted reskilling and labor-augmenting innovation policies in Italy’s digital transition.
Beyond Informality: Housing Quality and Tenure Insecurity in Tanzania’s Secondary Cities Asia Khamis Nyange
Muslim Business and Economics Review Vol. 5 No. 1 (2026)
Publisher : Universitas Islam Internasional Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56529/mber.v5i1.592

Abstract

Sub-Saharan Africa is experiencing high rates of urbanisation that have driven the housing deprivation problem into dense informal settlements, but the link between tenure status and housing quality is yet to be fully examined in secondary cities in Tanzania. This study examines the impact of tenure on housing quality and examines whether household wealth, education, and migration status mediate the relationship between tenure and housing quality. The analytical sample consists of 2,411 households from the Tanzania National Panel Survey (NPS) Wave 5 (2020–2022) in secondary cities. A standardised Housing Quality Index (HQI) was built using the seven structural and service indicators and ordinary least squares regression with cluster-robust standard errors and interaction terms. The results show that there is a significant difference between informal and formal owners in terms of the reduction in HQI (β = −0.42, p = 0.003), which supports the tenure penalty hypothesis. On the other hand, the housing quality of households in other tenure arrangements (employer-provided or free accommodation) shows a significant positive value (β = +0.25, p = 0.027). Wealth and education have independent positive effects on housing quality, but there are interaction effects between wealth and informal tenure (β = 0.286, p = 0.008), and between education and informal tenure (β = 0.036, p = 0.058). Migration status does not have any significant interaction effects. Robustness checks (Ramsey RESET test, Cook's distance, and VIFs) validate the model and confirm its reliability. The study concludes that tenure insecurity is a 'structural constraint' not easily mitigated by household resources, and calls for enhancing informal tenure recognition, increasing hybrid housing forms, and including the poor in terms of their wealth in informal housing in policy agendas at the secondary city level.

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