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Improving Low Carbon Development Performance at the Local Level through Multi Criteria Decision Analysis Fariz Basyiruddin; Arief Rachmansyah; Bunga Hidayati; Reny Tiarantika; Naziatul Aziah Mohd Radzi
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 23, No 2 (2026): July 2026
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v23i2.684-700

Abstract

Climate change necessitates immediate local interventions to guarantee environmental stability. Notwithstanding emission target agreements, Mojokerto Regency’s contribution to regional low-carbon development is less than 1%, indicating minimal influence. This study examines the enabling and constraining factors of low-carbon performance and establishes strategic priorities using the Analytical Hierarchy Process (AHP), corroborated through a Cost-Effectiveness Analysis (CEA). Data were gathered through expert interviews, pairwise questionnaires, and a regional fiscal analysis. The findings demonstrate that structural limitations, such as constrained resources and data deficiencies, impede implementation, whereas multi-stakeholder interaction serves as a key facilitator. AHP designated Community Engagement as the key choice criterion (31.32%). Thus, waste management using TPS3R was prioritized at 26.12%, followed by tree planting at 20.09% and organic fertilizer at 13.88%, together comprising 60.09% of choice preferences. CEA validates these findings, indicating that prioritized community-based methods provide enhanced fiscal efficiency, substantial landfill cost savings, and local job creation. They surpass capital-intensive alternatives, such as Intelligent Transportation Systems (ITS/ATCS), which provide minimal carbon value. This report advocates for the reallocation of municipal finance to prioritize community empowerment and nature-based initiatives, underpinned by institutional legislation that requires data sharing for Measurement, Reporting, and Verification (MRV) systems to facilitate an economically sound and socially equitable shift
The Effect of Population Density, GDP, and Waste Infrastructure on Waste Generation in Bali Province 2021-2024: Panel Data Regression Analysis I Gede Kresnananda Wisesa; Runi Asmaranto; Dini Atikawati; Reny Tiarantika
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 8 No. 2 (2026): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v8i2.355

Abstract

Background: Waste generation is an increasingly complex environmental problem along with population growth and increased economic activity, especially in tourism-based areas such as Bali Province. Objective: This study aims to analyze the influence of population density, Gross  Regional  Domestic  Product  (GDP)  per  capita,  and  waste management infrastructure on waste generation in all districts/cities in Bali Province in the 2021–2024 period using a panel data regression approach. Methods: Secondary data was obtained from the National Waste Management Information System (SIPSN), the Central Statistics Agency (BPS) of Bali Province, and the Bali Province One Data Portal. The selection of the best model was carried out through the Chow Test, Hausman Test, and Lagrange Multiplier Test, which resulted in a Random Effect Model (REM) as the selected estimation model. Results: The results showed that population density and GDP per capita had a significant effect on waste generation with coefficient values of 50.35 and 0.58, respectively, while the variables of waste management infrastructure had no significant effect. The model was able to explain the variation in waste generation by 84.98% (R² = 0.8498). Conclusion: These findings indicate that demographic and economic factors are the main determinants of waste generation in Bali Province, so waste management policies need to consider the dynamics of population growth and regional economic development.
ICT Utilization and Income Differences among Small-Scale Fishers in Coastal East Java Reny Tiarantika; Asfi Manzilati; Anthon Efani; Bambang Hendroyono; Noor Sidharta
PENG: Jurnal Ekonomi dan Manajemen Vol. 3 No. 4 (2026): In Progress
Publisher : Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/1mzgce57

Abstract

Information and communication technology (ICT) may help small-scale fishers access information and support fishing decisions, but its association with income needs to be examined while accounting for differences between users and non-users. This study examines factors associated with ICT use and estimates income differences among 500 small-scale fishers in Malang, Trenggalek, and Probolinggo, East Java, Indonesia, in 2024. Sample allocation across the three regencies followed proportional stratified sampling, while respondent eligibility was based on the purposive criterion of operating a fishing vessel below 5 gross tonnage (GT). Probit regression was used to identify factors associated with ICT use, while Propensity Score Matching (PSM) estimated the average treatment effect on the treated (ATT), comparing ICT users (treatment group) with non-users (control group). Attitude, subjective norms, education, access to credit, and savings were statistically significant at the 5% level, while fishing-trip duration and distance to the fishing port were significant at the 10% level. The estimated ATT was IDR 2,273,707.11 per fishing trip using nearest-neighbor matching and IDR 2,247,831.65 per fishing trip using kernel-based matching. These estimates depend on adequate common support, covariate balance, and the assumption that relevant factors influencing ICT use and income are captured by observed characteristics. Potential bias from unobserved factors may remain. The findings suggest that ICT use is associated with an estimated higher income among matched fishers, although potential bias from unobserved confounding cannot be ruled out. These findings also highlight the importance of digital infrastructure, digital literacy, and affordable access to technology.