Low-Carbon and Labour-Sensitive Agricultural Transition Priorities in Indonesia
Putri Meliza Sari, Mega Amelia Putri, Pangeran Aristofanes Musthafa, Rowiyah Asengbaramae
Universitas PGRI Sumatera Barat Politeknik Pertanian Negeri Payakumbuh National University of Malaysia Fatoni University
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This study develops an integrated environmental assessment and accounting framework to support policy decisions on a low-carbon and labour-sensitive agricultural transition in Indonesia. Rather than treating decarbonisation as an emissions-only ranking exercise, the framework combines sustainability appraisal, sectoral environmental accounting, and robustness diagnostics. Using the 2022 industry-by-industry multiregional input–output (MRIO) table from EXIOBASE 3.10.1, the study evaluates sixteen Indonesian primary agricultural, livestock, fisheries, and aquaculture sectors through five analytical layers: sector validation and caution flags; direct Socio-Environmental Structure-Scale-Risk (SE-SSR) indicators; environmentally extended multiregional input–output (EE-MRIO) footprint simulation; probabilistic and deterministic robustness tests; and rule-based transition classification. The results identify cultivation of vegetables, fruit, and nuts; cultivation of oil seeds; fishing and aquaculture; and cultivation of paddy rice as core robust priorities, although they represent different transition pathways. Poultry farming emerges as a footprint-mediated employment opportunity rather than a core robust priority, while caution-flagged sectors require additional validation before policy use. The mean supply-chain footprint for the selected greenhouse gases, expressed in carbon dioxide equivalent (CO2e), is 2.195 times the corresponding direct greenhouse-gas (GHG) emissions, demonstrating that upstream supply-chain pressures materially affect sector priorities. The findings show that transition priorities cannot be defined by emissions performance alone, but require joint assessment of labour relevance, supply-chain effects, robustness, and data quality. The framework provides a policy-oriented typology for transition screening and socially inclusive agricultural management.
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物理Environmental Impact and Sustainability
Agriculture Sustainability and Environmental Impact · Sustainable Agricultural Systems Analysis