Location Quotient Analysis of the Agricultural Sector in Yogyakarta, Indonesia

DOI

10.2991/absr.k.220305.002How to use a DOI?

Keywords

Agriculture; Location Quotient (LQ); Base Sector; Economic

Abstract

Agricultural sector economic resources analysis is conducted to take into account the influence of the agricultural sector on the life of residents in D.I Yogyakarta Province. This analysis is conducted based on the data of calculation results using location quotient (LQ), a method to calculate the relative comparison of value-added contribution of a sector in a region to the contribution of value-added sectors at the provincial and national levels. The purpose of this research is to find out the LQ value of the agricultural sector in each regency in DIY Province, so that it can be known the areas that specialize in the agricultural sector. The LQ calculation of agricultural sector in DIY Province using descriptive analysis method with quantitative approach for data interpretation. The analysis was conducted using secondary data from the province in agricultural figures and publications issued by the Badan Pusat Statistik (BPS) DIY. The results of LQ calculation in 2010 showed that Sleman, Bantul, and Gunungkidul regencies have LQ values above 1 that fall into the category of agricultural base sector. Kulonprogo regency and Yogyakarta city has a value of less than 1 so it does not include agricultural base. The LQ value in 2019 in Sleman and Yogyakarta has a value of less than 1 (not an agricultural base), while Bantul, Kulonprogo, and Gunungkidul regencies have a value of more than 1 (agricultural base).

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.

Download article (PDF)

TY  - CONF
AU  - A M Sausan
AU  - A Cahyani
AU  - F N Ashidieq
AU  - M A Risqa
AU  - M S A Bahri
AU  - R Wahyudi
AU  - V R Gitanto
AU  - R F Putri
PY  - 2022
DA  - 2022/03/10
TI  - Location Quotient Analysis of the Agricultural Sector in Yogyakarta, Indonesia
BT  - Proceedings of the 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021)
PB  - Atlantis Press
SP  - 5
EP  - 9
SN  - 2468-5747
UR  - https://doi.org/10.2991/absr.k.220305.002
DO  - 10.2991/absr.k.220305.002
ID  - Sausan2022
ER  -