Sustainable Agricultural Development Based on Leading Commodities
(Case Study in Blora Sub-District, Blora District, Central Java, Indonesia)
- DOI
- 10.2991/absr.k.220305.033How to use a DOI?
- Keywords
- Agriculture; Productivity; Leading Commodity; Location Quotient; Sustainable Agriculture
- Abstract
Sustainable agricultural development emphasises the utilisation of natural resources, especially leading commodities, according to the ability of a region to improve the welfare of its farmers and stimulate economic growth. Agriculture is a sector supporting the economy of the Blora Sub-district. This quantitative descriptive research was designed to analyse the leading food-crop commodities to support sustainable development. Location Quotient (LQ) was employed to determine the basis for said commodities from secondary data on food commodity productivity in 2010‒2019 from the BPS-Statistics Indonesia. The data analysis showed that rice, groundnut and mung bean were the chief tradeable food crops in the sub-district indicated by their LQ values higher than or equal to 1. Selecting leading commodities based on the region’s potential can help determine which food crops can be developed and take priorities in the development. When focused on them, sustainable agricultural development can create farming practices that are efficient, economically valuable and environmentally friendly so as to improve environmental sustainability.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Rena Satya Tungga Dewi AU - Rika Harini AU - Rina Dwi Ariani AU - Luthfi Muta’ali PY - 2022 DA - 2022/03/10 TI - Sustainable Agricultural Development Based on Leading Commodities BT - Proceedings of the 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021) PB - Atlantis Press SP - 216 EP - 222 SN - 2468-5747 UR - https://doi.org/10.2991/absr.k.220305.033 DO - 10.2991/absr.k.220305.033 ID - Dewi2022 ER -