Classifying Consumer Purchasing Decision for Imported Ready-to-Eat Foods in China Using Comparative Models
In: Journal of Asia Pacific business, Band 19, Heft 4, S. 286-298
ISSN: 1528-6940
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In: Journal of Asia Pacific business, Band 19, Heft 4, S. 286-298
ISSN: 1528-6940
International audience ; Abstract The carbon and land footprint of 26 certified food products – geographical indications and organic products and their conventional references are assessed. This assessment goes beyond existing literature by (1) designing a calculation method fit for the comparison between certified food and conventional production, (2) using the same calculation method and parameters for 52 products – 26 Food Quality Schemes and their reference products – to allow for a meaningful comparison, (3) transparently documenting this calculation method and opening access to the detailed results and the underlying data, and (4) providing the first assessment of the carbon and land footprint of geographical indications. The method used is Life Cycle Assessment, largely relying on the Cool Farm Tool for the impact assessment. The most common indicator of climate impact, the carbon footprint expressed per ton of product, is not significantly different between certified foods and their reference products. The only exception to this pattern are vegetal organic products, whose carbon footprint is 16% lower. This is because the decrease in greenhouse gas emissions from the absence of mineral fertilizers is never fully offset by the associated lower yield. The climate impact of certified food per hectare is however 26% than their reference and their land footprint is logically 24% higher. Technical specifications directly or indirectly inducing a lower use of mineral fertilizers are a key driver of this pattern. So is yield, which depends both on terroir and farming practices. Overall, this assessment reinforces the quality policy of the European Union: promoting certified food is not inconsistent with mitigating climate change.
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International audience ; Abstract The carbon and land footprint of 26 certified food products – geographical indications and organic products and their conventional references are assessed. This assessment goes beyond existing literature by (1) designing a calculation method fit for the comparison between certified food and conventional production, (2) using the same calculation method and parameters for 52 products – 26 Food Quality Schemes and their reference products – to allow for a meaningful comparison, (3) transparently documenting this calculation method and opening access to the detailed results and the underlying data, and (4) providing the first assessment of the carbon and land footprint of geographical indications. The method used is Life Cycle Assessment, largely relying on the Cool Farm Tool for the impact assessment. The most common indicator of climate impact, the carbon footprint expressed per ton of product, is not significantly different between certified foods and their reference products. The only exception to this pattern are vegetal organic products, whose carbon footprint is 16% lower. This is because the decrease in greenhouse gas emissions from the absence of mineral fertilizers is never fully offset by the associated lower yield. The climate impact of certified food per hectare is however 26% than their reference and their land footprint is logically 24% higher. Technical specifications directly or indirectly inducing a lower use of mineral fertilizers are a key driver of this pattern. So is yield, which depends both on terroir and farming practices. Overall, this assessment reinforces the quality policy of the European Union: promoting certified food is not inconsistent with mitigating climate change.
BASE
In this paper, we test to what extent Food Quality Schemes (FQS, including Geographical Indications and organic products) contribute to the social and economic sustainability of farmers and regions through employment and education. Through employment, FQS may counter the urban migration trend affecting rural regions, and help retain economic and social capital in the local region. Indeed, as FQS are often small and specialised sectors, the economic inefficiency of such businesses may translated into greater employment and social sustainability. Separately, by requiring a higher-level of quality and hence skills, FQS may encourage greater local educational attainment or skilled immigration. To test these propositions, we analyse the employment and educational outcomes of 25 FQS. Our results show that the FQS products examined have a 13% higher labour usage (labour-to-production ratio) compared to reference products, indicating that they provide greater employment. Additionally, wage levels are 32% higher in FQS compared to references. Despite providing greater employment and higher wages, profitability of FQS (i.e. how much turnover/profit is generated per employee) is nevertheless 32% higher for FQS compared to reference products, due to the ability to attract higher product prices. Finally, there is no clear link between FQS and greater (or lower) education attainment in the supply chain. Overall, our results suggest that FQS can provide a strong contribution to local employment, employee income and business profits, strengthening the social and economic sustainability of producers and regions. ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 678024. ; publishedVersion
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In: Research Data journal for the humanities and social sciences, Band 6, Heft 1, S. 1-22
ISSN: 2452-3666
Abstract
The dataset Sustainability performance of certified and non-certified food (https://www.doi.org/10.15454/OP51SJ) contains 25 indicators of economic, environmental, and social performance, estimated for 27 certified food value chains and their 27 conventional reference products. The indicators are estimated at different levels of the value chain: farm level, processing level, and retail level. It also contains the raw data based on which the indicators are estimated, its source, and the completed spreadsheet calculators for the following indicators: carbon footprint and food miles. This article describes the common method and indicators used to collect data for the twenty-seven certified products and their conventional counterparts. It presents the assumptions and choices, the process of data collection, and the indicator estimation methods designed to assess the three sustainability dimensions within a reasonable time constraint. That is: three person-months for each food quality scheme and its non-certified reference product. Several prioritisations were set regarding data collection (indicator, variable, value chain level) together with a level of representativeness specific to each variable and product type (country and sector). Technical details on how relatively common variables (e.g., number of animals per hectare) are combined into indicators (e.g., carbon footprint) are provided in the full documentation of the dataset.
Considering the features of GIs and organic production, Deliverable 5.2 analyses the relationships between Public Goods (PGs) and Food Quality Schemes (FQS). The deliverable evaluates the impacts of the cases study described in Deliverable 5.1 in terms of their contribution to rural development and territorial cohesion given by the capacity to generate positive externalities and hence PGs. The analysis focuses on: i) contribution to local economies; ii) generation of environmental, social and cultural externalities; iii) contribution of different governance mechanisms to ensure the valorisation of producers' know-how and local resources; iv) social cohesion in term of creation of social capital and social networks. Overall, the products that fall within the organic FQS category, contribute to the generation of environmental PGs more than the GI FQS. However, the latter contribute more to the generation of socio-economic PGs. In general, most FQS present a low capacity to generate Cultural Heritage PGs. This indicates that there is considerable space to improve the cultural dimension of these products for the benefit of producers and consumers. The analysis conducted by the Strength2Food methodology show that if there is political will on the part of producers, there is room for improvement in the generation of PGs. At the same time, the measurement of the capacity to produce PGs would further justify the greater economic value of these products to consumers.
BASE
Considering the features of GIs and organic production, Deliverable 5.2 analyses the relationships between Public Goods (PGs) and Food Quality Schemes (FQS). The deliverable evaluates the impacts of the cases study described in Deliverable 5.1 in terms of their contribution to rural development and territorial cohesion given by the capacity to generate positive externalities and hence PGs. The analysis focuses on: i) contribution to local economies; ii) generation of environmental, social and cultural externalities; iii) contribution of different governance mechanisms to ensure the valorisation of producers' know-how and local resources; iv) social cohesion in term of creation of social capital and social networks. Overall, the products that fall within the organic FQS category, contribute to the generation of environmental PGs more than the GI FQS. However, the latter contribute more to the generation of socio-economic PGs. In general, most FQS present a low capacity to generate Cultural Heritage PGs. This indicates that there is considerable space to improve the cultural dimension of these products for the benefit of producers and consumers. The analysis conducted by the Strength2Food methodology show that if there is political will on the part of producers, there is room for improvement in the generation of PGs. At the same time, the measurement of the capacity to produce PGs would further justify the greater economic value of these products to consumers.
BASE
Considering the features of GIs and organic production, Deliverable 5.2 analyses the relationships between Public Goods (PGs) and Food Quality Schemes (FQS). The deliverable evaluates the impacts of the cases study described in Deliverable 5.1 in terms of their contribution to rural development and territorial cohesion given by the capacity to generate positive externalities and hence PGs. The analysis focuses on: i) contribution to local economies; ii) generation of environmental, social and cultural externalities; iii) contribution of different governance mechanisms to ensure the valorisation of producers' know-how and local resources; iv) social cohesion in term of creation of social capital and social networks. Overall, the products that fall within the organic FQS category, contribute to the generation of environmental PGs more than the GI FQS. However, the latter contribute more to the generation of socio-economic PGs. In general, most FQS present a low capacity to generate Cultural Heritage PGs. This indicates that there is considerable space to improve the cultural dimension of these products for the benefit of producers and consumers. The analysis conducted by the Strength2Food methodology show that if there is political will on the part of producers, there is room for improvement in the generation of PGs. At the same time, the measurement of the capacity to produce PGs would further justify the greater economic value of these products to consumers.
BASE