Social Economy Indicator on Constructing Forest Sustianability in Bali
DOI:
https://doi.org/10.54571/ajee.461Keywords:
Domestic Product Regional Bruto, The Amount of Citizen, Regional Autonomy, Local Wisdom, Partial Adjustment Model.Abstract
Abstract: Forestry issue has ever been discussed in conference of United Nation Framework Convention on Climate Change about deforestation that happens because industrialization that oriented toward economical growth and ignores environment aspect that can cause global warming. In Bali, sustainability has been a pplied since long time ago. It can be proved by the existence of tumpek wariga that makes an appreciation respect directly to the plants is an embodiment of environmental sustainability as a manifestation of local wisdom. This is insufficient remember the fact that the condition of Bali's forests has been distorted. This analysis aims to know the simultaneous and partial influences and the most dominant determinants affecting forest sustainability. Within the lifetime data and analysis of adaptive partial adjustment model double log, this analysis found the fact that simultanousely and partially Domestic Product Regional Bruto, the amount of citizen, regional autonomy policy and forest sustainability condition on previous year has significant influence toward forest sustainability during the period of this analysis. The amount of citizen variable is the most dominant variable toward forest sustainability because it obtains the highest standardized of coefficient data of 0,292. Based on the analysis, result and discussion, forest have to be well maintained, conserved and utilized in balance for all the people prosperity in current generation and for the sake of next generation. Correct management needed for development sustainability especially in long-term capacity through internalization and negative externalization which caused by economical development.
Keywords: Domestic Product Regional Bruto; The Amount of Citizen; Regional Autonomy; Local Wisdom; Partial Adjustment Model.
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