Forthcoming and Online First Articles

International Journal of Agricultural Resources, Governance and Ecology

International Journal of Agricultural Resources, Governance and Ecology (IJARGE)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

International Journal of Agricultural Resources, Governance and Ecology (2 papers in press)

Regular Issues

  • Economic and environmental effects of the ban on log exports in the CEMAC zone   Order a copy of this article
    by Mathieu Juliot Mpabe Bodjongo, Josué Kevin Fotso Mbobda 
    Abstract: This study aims to examine the potential economic and environmental impacts of a total ban on log exports in three of the six countries in the Economic and Monetary Community of Central Africa (CEMAC): Cameroon, Republic of the Congo and Chad. The results, based on a computable general equilibrium model (CGEM), show that the policy of a total log export ban is less economically beneficial than a log export quota, particularly in terms of: 1) the value of total output in the timber sector; 2) the value added in the timber sector; 3) employment in the timber sector; 4) tax revenue; 5) the income and welfare of urban and rural households; 6) real GDP. However, in environmental terms, the total log export ban is more effective than a log export quota.
    Keywords: trade barrier; timber; economy; environment; computable general equilibrium model; CGEM.

  • Weather intervention based pest forewarning model for increasing crop yield using Bayesian discriminant analysis   Order a copy of this article
    by S.R. Krishna Priya, N. Naranammal 
    Abstract: Forewarning crop pests can help preventing crop damage, which helps to increase the crop yield. This paper is an attempt to forewarn the sucking pests of cotton crops such as aphids, jassid, thrips and whitefly. The data used for the study is the pest incidence of sucking pests on cotton from the years 2015-2016 to 2022-2023. A comparative study has been carried out using the Bayesian discriminant analysis with weather variables and weather indices for two groups as well as three groups. Regression model is built by taking the posterior probability obtained from both weather variables and weather indices, along with the trend as a regressor and pest incidence as a response variable for forewarning. The models are compared by goodness of fit measures. It has been identified that two groups of Bayesian discriminant analysis using weather indices performed better for aphids and jassid, while three groups using weather indices performed better for thrips and whitefly.
    Keywords: forewarning; discriminant analysis; crop pest; posterior probability; goodness of fit; weather indices; meteorological parameters; sustainable agriculture; integrated pest management; cotton.

 

Return to top