ASEAN rice market integration: findings from a feasibility study

Greenville, Jared

doi:10.1787/8ca16e31-en

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…It has the lowest share of sector workforce related to trade and GVC participation and this participation contributes the least to overall agricultural employmentafter considering all direct and indirect linkages across the economy. These observed outcomes are likely influenced by the significant government intervention in this sector and the high levels of protection (Greenville, 2018;Greenville and Kawasaki, 2018).…”

Section: Direct and Indirect Employment By Sectormentioning

confidence: 99%

Employment in Agriculture and Food Trade

Greenville

Kawasaki

Jouanjean

2019

OECD Food, Agriculture and Fisheries Papers

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This paper is published under the responsibility of the Secretary General of the OECD. The opinions expressed and the arguments employed herein do not necessarily reflect the official views of OECD countries. The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law. This document has been declassified on the responsibility of the OECD Joint Working Party on Agriculture and Trade under the OECD reference number TAD/TC/CA/WP(2018)2/FINAL.

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Section: Direct and Indirect Employment By Sectormentioning

confidence: 99%

Employment in Agriculture and Food Trade

Greenville

Kawasaki

Jouanjean

2019

OECD Food, Agriculture and Fisheries Papers

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The Role of Tropical Forests to Support Food Sovereignty Owing to the COVID-19 Pandemic

Cahyono¹,

Agus

Putra³

et al. 2022

Sustainable Agriculture and Food Security

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Modelling High Dimensional Paddy Production Data using Copulas

Roslan¹,

Shinyie²,

Ling³

2021

JST

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As the climate change is likely to be adversely affecting the yield of paddy production, thence it has brought a limelight of the probable challenges on human particularly regional food security issues. This paper aims to fit multivariate time series of paddy production variables using copula functions and predicts the next year event based on the data of five countries in southeast Asia. In particular, the most appropriate marginal distribution for each univariate time series was first identified using maximum likelihood parameter estimation method. Next, we performed multivariate copula fitting using two types of copula families, namely, elliptical copula family and Archimedean copula family. Elliptical copula family studied are normal and t copula, while Archimedean copula family considered are Joe, Clayton and Gumbel copulas. The performance of marginal distribution and copula fitting was examined using Akaike information criterion (AIC) values. Finally, we used the best fitted copula model to forecast the succeeding event. In order to assess the performance of copula function, we computed the forecast means and estimation errors of copula function with a generalized autoregressive conditional heteroskedasticity model as reference group. Based on the smallest AIC, the majority of the data favoured the Gumbel copula, which belongs to Archimedean copula family as well as extreme value copula family. Likewise, applying the historical data to forecast the future trends may assist all relevant stakeholders, for instance government, NGO agencies, and professional practitioners in making informed decisions without compromising the environmental as well as economical sustainability in the region.

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ASEAN rice market integration: findings from a feasibility study

Cited by 3 publications

References 24 publications

Employment in Agriculture and Food Trade

Employment in Agriculture and Food Trade

The Role of Tropical Forests to Support Food Sovereignty Owing to the COVID-19 Pandemic

Modelling High Dimensional Paddy Production Data using Copulas

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