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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.