E3S Web Conf.
Volume 73, 2018The 3rd International Conference on Energy, Environmental and Information System (ICENIS 2018)
|Number of page(s)||5|
|Section||Green Economic and Development|
|Published online||21 December 2018|
Analysis of the potential contribution of forestry sub-sector in economic and development in daerah istimewa yogyakarta province
1 Master Program in Environmental Science, Diponegoro University, Semarang - Indonesia
2 Faculty of Marine and Fisheries, Diponegoro University, Semarang - Indonesia
3 Department of Urban and Regional Planning, Diponegoro University, Semarang - Indonesia
* Corresponding author: email@example.com
The forestry sub-sector is one of the subsectors of the agricultural sector that has an opportunity to support the economic development program, contribute to the Gross Regional Domestic Product (GRDP) and reduce unemployment rate in Daerah Istimewa Yogyakarta (hereafter, DIY Province). The economic growth of DIY Province in 2012-2016 for the forestry sub-sector tends to increase. The objective of this research is to identify and analyze the opportunities of the forestry sub-sector to be used as a reference and as a regional leading sector for improving the economy in DIY Province. This research uses a descriptive analytical method. Location Quotient (LQ) method, modification LQ (Revised LQ and Symmetric LQ) are tools of analysis. The data used is some data from GRDP in the year 2012-2016 based on the fixed price in the year 2010. Based on the calculation of LQ, SLQ and RLQ analysis where obtained LQ value equal to 1.23, RLQ of 1.23 and SLQ of 0.10 indicates that the forestry sub-sector can still be expected to be the regional leading sector in the future to increase economic growth in DIY Province. The forestry sub-sector has potential to become the leading sector in Gunungkidul Regency and Kulonprogo Regency.
Key words: forestry sub-sector / regional leading sector / LQ / Revised LQ / Symmetric LQ
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.