International Journal of Supply Chain Management
Vol 7, No 4 (2018): International Journal of Supply Chain Management (IJSCM)

COPULA MODELING TO IDENTIFY THE DEPENDENCY STRUCTURE OF AGRICULTURAL PRODUCTION AND ITS ENVIRONMENT INDICATORS IN INDONESIA

Ahdika, Atina (Unknown)
Rosadi, Dedi (Unknown)
Effendie, Adhitya Ronnie (Unknown)
Gunardi, Gunardi (Unknown)

Article Info

Publish Date
29 Aug 2018

Abstract

Agriculture is a very potential field developed in agrarian countries such as Indonesia. The country has abundant natural wealth as a food source for plants. In addition, the natural condition also has an important role on the quality and quantity of agricultural products. This study aims to model dependency structure of rice production and its environment indicators, in this case, includes temperature change, CO2 emission, and rainfall precipitation, in Indonesia using copula model. We identify the linearity of correlation between variables by comparing Pearson correlation with normality assumption and dependency structure modeled by copula function with any marginal distribution. We analyze and discuss how copula model shows the dependency between variables which cannot be identified by linear correlation.

Copyrights © 2018




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Journal Info
International Journal of Supply Chain Management
Website

Abbrev

IJSCM

Publisher

ExcelingTech

Subject

Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

Description

International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts ...