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Umi Munawaroh
Pembangunan Nasional Veteran Yogyakarta University

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Ngarit Jembar Nalar: Mapping The Agricultural Economic Potential Through A Socio-Historical Approach Based On Local Wisdom For Sustainable Development Rendy Dwi Nugraha; Aril Kurniawan; Umi Munawaroh; Muhamad Khoiru Zaki
Agro Ekonomi Vol 37, No 1 (2026): JUNE 2026
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ae.112382

Abstract

The southern coastal region of the Special Region of Yogyakarta possesses strong agrarian potential, yet development outcomes remain suboptimal due to structural constraints and the limited integration of local wisdom into development frameworks. This study is important because previous research has not conceptualized local wisdom as an empirical foundation for agricultural economic development, leaving a clear research gap. This study aims to: (1) analyze the social, economic, and agricultural institutional conditions in Bantul, Kulon Progo, and Gunungkidul; (2) apply the ngarit jembar nalar framework to interpret and map agricultural economic potential; and (3) formulate strategic directions for sustainable development rooted in local values. A mixed-methods design was employed, combining Welch ANOVA on survey data from 150 respondents across six villages, thematic analysis of interviews with 30 key informants, and spatial land-use mapping. The findings reveal significant regional differences (p < 0.001) across social, economic, agricultural, and institutional dimensions. Adaptation patterns also differ: infrastructure-based stability in Kulon Progo, tourism-driven transformation in Bantul, and value-based ecological resilience in Gunungkidul. This study contributes a community-centered analytical framework in which ngarit jembar nalar integrates agrarian diligence with reflective socio-ecological reasoning. Limitations include the cross-sectional design, suggesting the need for longitudinal analyses in future research.