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1 – 3 of 3Souhir Amri Amamou, Mouna Ben Daoud and Saoussen Aguir Bargaoui
Without precedent, green bonds confront, for the first time since their emergence, a twofold crisis context, namely the Covid-19-Russian–Ukrainian crisis period. In this context…
Abstract
Purpose
Without precedent, green bonds confront, for the first time since their emergence, a twofold crisis context, namely the Covid-19-Russian–Ukrainian crisis period. In this context, this paper aims to investigate the connectedness between the two pioneering bond market classes that are conventional and treasury, with the green bonds market.
Design/methodology/approach
In their forecasting target, authors use a Support Vector Regression model on daily S&P 500 Green, Conventional and Treasury Bond Indexes for a year from 2012 to 2022.
Findings
Authors argue that conventional bonds could better explain and predict green bonds than treasury bonds for the three studied sub-periods (pre-crisis period, Covid-19 crisis and Covid-19-Russian–Ukrainian crisis period). Furthermore, conventional and treasury bonds lose their forecasting power in crisis framework due to enhancements in market connectedness relationships. This effect makes spillovers in bond markets more sensitive to crisis and less predictable. Furthermore, this research paper indicates that even if the indicators of the COVID-19 crisis have stagnated and the markets have adapted to this rather harsh economic framework, the forecast errors persist higher than in the pre-crisis phase due to the Russian–Ukrainian crisis effect not yet addressed by the literature.
Originality/value
This study has several implications for the field of green bond forecasting. It not only illuminates the market participants to the best market forecasters, but it also contributes to the literature by proposing an unadvanced investigation of green bonds forecasting in Crisis periods that could help market participants and market policymakers to anticipate market evolutions and adapt their strategies to period specificities.
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Mouna Feki, Hédia Hannachi, Moez Bou Ali, Haytem Hamrouni, Elvira Romano, Boubaker Karray and Mohamed Hammami
The purpose of this paper is to build a class model to confirm the authenticity of olives from Bi'r al Malluli, Tunisian region, in order to obtain the Designation of Origin (DO).
Abstract
Purpose
The purpose of this paper is to build a class model to confirm the authenticity of olives from Bi'r al Malluli, Tunisian region, in order to obtain the Designation of Origin (DO).
Design/methodology/approach
In total, ten orchards of Chemlali olive oil variety were chosen, in Sfax region, characterized by the same applied cultural techniques. Pomological characters of olives, fatty acids composition and organoleptic analysis of olive oil were conducted.
Findings
Results showed that the pomological characters were specific of the Chemlali variety: the olive weight ranged from 0.9 to 1.10 g in all studied orchards and the water content (WC) ranged from 41.45 to 57.68 per cent. All analysed oils showed good fatty acids balance. Chemlali olive oil contains high amounts of oleic acid and a smaller amount of linoleic acid. The oleic acid content ranged from 57.96 to 63.52 per cent according to the orchards. All oils having oleic acid higher than 55 per cent are categorized as extra virgin olive oil based on International Olive Oil Council (IOOC) Norma. Based on the organoleptic analysis, all the analysed oils were classified as an extra virgin olive oil. The principal component analysis applied separately on olive characters and fatty acids contents do not indicate any group's structure.
Originality/value
An objective approach based on pomologic, sensory and acidic composition analyses would be used to delimitate Protected Designation of Origin (PDOs) in olive oil from the Bi'r al Malluli area and better protect their markets.
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Nicolas Hamelin and Sonny Nwankwo
The purpose of this paper is to assess the impact of human factor on ecological conditions of Moroccan cedar forest with a view to drawing out implication for sustainable forest…
Abstract
Purpose
The purpose of this paper is to assess the impact of human factor on ecological conditions of Moroccan cedar forest with a view to drawing out implication for sustainable forest management. The study is set against the backdrop of the global depletion of natural capital in a rare axis which, if not brought under an integrated sustainability purview, might lead to the extinction of this quickly receding natural resource.
Design/methodology/approach
Data for this research are mined from publicly held databases but processed through a time series regression analysis in a way that measures variations in ecological/environmental variables.
Findings
Findings reveal that changes in precipitation and temperature account for a small but significant amount of variation during the period 1940-2006. However, most of the decline is attributable to human activities such as overgrazing and illegal logging. These are having far-reaching implications for forest conservation management.
Originality/value
Human agency, more than any effect of nature, is chiefly responsible for the unsustainable development in this sphere of natural capital. Whilst this may not altogether constitute new knowledge, the paper highlights ambivalent positions that both promote and constrain efforts to sustain cedar forest. Its novelty lies not only in the empirical substantiation it affords but also in ferreting out strategic initiatives to dis-incentivise unsustainable exploitation of this important aspect of natural capital.
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