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Article
Publication date: 30 April 2024

Qiuqin Li and Xuemei Jiang

This article summarizes the international scientific research output of global forest product models, infers future research trends and provides reference for quantitative…

Abstract

Purpose

This article summarizes the international scientific research output of global forest product models, infers future research trends and provides reference for quantitative analysis and mathematical modeling of Chinese forest product problems, with the aim of contributing to promoting domestic production of Chinese forest products and strengthening international trade competitiveness of forest products.

Design/methodology/approach

In 1999, Joseph Buongiorno, a scholar at the University of Wisconsin in the United States of America, proposed the global forest products model (GFPM), which was first applied to research in the global forestry sector. GFPM is a recursive dynamic model based on five assumptions: macroeconomics, local equilibrium, dynamic equilibrium, forest product conversion flow and trade inertia. Using a certain year from 1992 to present as the base period, it simulates and predicts changes in prices, production and import and export trade indicators of 14 forest products in 180 countries (regions) through computer programs. Its advantages lie in covering a wide range of countries and a wide variety of forest products. The data mainly include forest resource data, forest product trade data, and other economic data required by the model, sourced from the Food and Agriculture Organization (FAO) of the United Nations and the World Bank, respectively.

Findings

Compared to international quantitative and modeling research in the field of forest product production and trade, China's related research is not comprehensive and in-depth, and there is not much quantitative and mathematical modeling research, resulting in a significant gap. This article summarizes the international scientific research output of global forest product models, infers future research trends, and provides reference for quantitative analysis and mathematical modeling of Chinese forest product problems, with the aim of contributing to promoting domestic production of Chinese forest products and strengthening international trade competitiveness of forest products.

Originality/value

On the basis of summarizing and analyzing the international scientific research output of GFPM, sorting out the current research status and progress at home and abroad, this article discusses potential research expansion directions in 10 aspects, including the types, yield and quality of domestic forest product production, international trade of forest products, and external impacts on the forestry system, in order to provide new ideas for global forest product model research in China.

Details

Forestry Economics Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2631-3030

Keywords

Article
Publication date: 3 June 2019

Dhamawatee Harnarun Etwaroo, Dayawatee Goburdhun and Arvind Ruggoo

Food additives are a group of substances added deliberately to foods to improve their organoleptic properties and stability, extend their shelf life and retain their nutritional…

Abstract

Purpose

Food additives are a group of substances added deliberately to foods to improve their organoleptic properties and stability, extend their shelf life and retain their nutritional value. The purpose of this paper is to identify the most frequently used classes of food additives and the food categories which contain the highest number of classes of additives.

Design/methodology/approach

A market survey was carried out in hypermarkets and shops where the original labels of 629 food products (195 local and 434 imported) were examined for presence of food additives. Principal component analysis (PCA) was used to explore the association between food category and classes of additives, and a χ2 test was performed to establish any association between product origin and the number of classes of food additives.

Findings

In sum, 75 per cent of food samples surveyed contained at least one class of food additive. The food categories which contained the highest number of classes of food additives across the group were: snacks (12 classes), biscuits and cakes (11 classes), fish products (11 classes) and soft drinks (10 classes). The most common classes of additive used were acidity regulator, colour and preservative. χ2 test revealed a significant association (χ2 = 8.28, p < 0.05) between the origin and number of classes of food additives, and the PCA showed that biscuits were associated with raising agent, candies and snacks with colour, fruit drinks and soft drinks with acidity regulator, mayonnaise with thickener and meat products with preservative.

Research limitations/implications

The food products were sourced only from retailers selling labelled food products.

Originality/value

This novel study provides a basis for determining compliance of food products to the National Food Regulations.

Details

British Food Journal, vol. 121 no. 5
Type: Research Article
ISSN: 0007-070X

Keywords

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