Integration of Socio-Spatial Approach in Land Use Planning for Agribusiness Commodities: A Case Study of Underdeveloped Districts in South Sulawesi, Indonesia

HTML  XML Download Download as PDF (Size: 3960KB)  PP. 147-159  
DOI: 10.4236/jss.2019.71013    876 Downloads   2,160 Views  Citations

ABSTRACT

One of the advances in the current socio-economic science is to integrate the socio-spatial approach in various socio-economic studies. The socio-spatial approach method is one of the tools that play an important role in visualizing various social data into the dimensions of space and time. In this article, the author presents a model built on a socio-spatial approach in the effort to develop the potential of underdeveloped regions in Indonesia. This model provides input information on the suitability of land use in the development of agricultural commodities which is identified as an important factor to be used as a basic reference for regional development planning in disadvantaged areas. Furthermore, it’s relying on not only land suitability biophysical data but also the integration of social data into spatial models as part of limiting factors can provide more accurate results. The results suggest that biophysically appropriate commodities are not necessarily acceptable from the social aspects of society, as in the research that has been carried out, there are 12 types of commodities cultivated by farmers and 10 suitable types of commodities biophysically but only 6 commodities based on social aspects that are feasible to become development direction commodities agribusiness which consists of the main commodities namely coffee, chili, potatoes and onions and supporting commodities namely celery and leeks.

Share and Cite:

Junais, I. , Samsuar, S. , Useng, D. , Ali, H. and Syarif, A. (2019) Integration of Socio-Spatial Approach in Land Use Planning for Agribusiness Commodities: A Case Study of Underdeveloped Districts in South Sulawesi, Indonesia. Open Journal of Social Sciences, 7, 147-159. doi: 10.4236/jss.2019.71013.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.