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The purpose of this study is to evaluate whether a diversification by grape varieties may help wine producers reduce uncertainty in quantity and quality variations due to increasingly erratic climate conditions.

This study hand-collects granular quantity and quality data from wine harvest reports for vintages 2003 to 2017 for the Valais region in Switzerland. The data allows us to obtain detailed data on harvested kilograms/liters and Oechsle/Brix degrees. It is then merged with precise meteorological data over the same sample period. The authors use this data set to capture weather conditions and their impact on harvested quantities and quality. Finally, they build portfolios including different grape varieties to evaluate whether this reduces variations in quality and quantity over vintages.

The findings highlight that the weather varies relatively strongly over the sample period and that climate hazards such as hail, frost or ensuing vine diseases effectively occur. These strongly impact the harvested quantities but less the quality of the wine. The authors further show that planting different grape varieties allows for a significant reduction in the variation of harvested quantities over time and thus acts as a good solution against climate risk.

The effect of climate change on viticulture is becoming increasingly important and felt and bears real economic and social consequences. This study transposes portfolio diversification which is central to reducing risk in the finance industry, into the wine industry and shows that the same principle holds. The authors thus propose a novel idea on how to mitigate climate risk.

Fungus-resistant grape varieties (FRGVs) are the key to more environment-friendly wine growing. This paper aims to examine whether German consumers are willing to buy environment-friendly wines. The study focuses on reducing the amount of fungicides applied and the improvement of the carbon footprint, which are both related to the FRGVs . Furthermore, a cluster analysis leads to more insights into the consumer groups that are open to environment-friendly wine.

A choice experiment was conducted among 1,500 German wine drinkers with the following attributes: “reduction of pesticides”, “reduction of carbon emissions”,“familiarity with the grape variety”,“organic certification”, the slogan “better for the environment” and“price”. The individual-level, part-worth utilities were estimated using the Hierarchical Bayes method. The Ward’s method was used to cluster the individual-level, part-worth utilities. The participants’ wine involvement and environmentalism are used to further analyse the sample.

The most important attribute is “price”, followed by the “familiarity with the grape variety” and the “reduction of pesticides” and of “carbon emissions”. The least important attribute is “better for the environment”. The cluster analysis results in three clusters: the green-minded, the traditionalists and the price-minded.

The insights about the consumer acceptance of environment-friendly wines can be used to market these wines more effectively to consumers.

This is the first study that combines a choice experiment with attributes that are derived from the benefits of fungus-resistant grape varieties.

Grape types grown in Australia have changed as a reflection of changes in consumers' tastes. Theres have been major changes in the Australian wine market in recent decades. The proportion of fortified wines has fallen from 81 per cent to ten percent of production and the popularity of different types of wine has varied. This has led to rapid changes in the types of grapes planted. The pattern of grape type use from 1972–91 at a small, long‐established winery gives a perspective on the general market trends. This winery adapted its use of particular grape types more quickly than the national average and has now established a pattern reflecting its expertise with fortified and red wines and regional characteristics.

To measure the extent to which wine buyers behave differently when purchasing wine online vs in two brick and mortar stores. The article aims to extend the use of the Double Jeopardy principle and empirical-based methodology to the wine category in a European retailing context.

Customer loyalty data of two brick and mortar stores and the website orders of a Belgian retailer have been gathered for a one-year period. Data have been analysed based on three specific wine attributes: country of origin, grape variety and brand. Double Jeopardy measurements have been calculated for each of these attributes.

This study enlarges the scope of use of the Dirichlet principles. All three hypotheses derived from the Double Jeopardy patterns across all attributes are confirmed. From the perspective of these principles, we demonstrated that wine buyers do not behave differently in brick and mortar vs online stores.

Very few studies have analysed and understood wine buyers' behaviour using actual purchasing data from retail stores, and none have been released comparing online and brick and mortar stores owned by the same retail brand. From that perspective, our study demystifies the way people really buy, and confirms what has been found in other product categories.

This case highlights the green agriculture initiative of the Honliv High Tech Agricultural Development Co., Ltd. towards agriculture environmental protection and better life. In this process, the Honliv Company confronted many difficulties, such as addressing the green transformation concerns of the team, identifying the sustainable agriculture target, the project selection of red globe grape products, the planning of a demonstration vineyard and green marketing. Nevertheless, with the Red Globe Grape of the “Honliv brand” had won the certification of China’s “Grade A” green food mark, and its green marketing initiatives, such as the “picking and demonstration model” had won people’s identification. The company was awarded the honorary titles of “Red Globe grape planting demonstration base with the Chinese characteristics” and “pollution-free science and technology demonstration unit of Chinese fruits and vegetables.” By discussing the Honliv Company’s experience and difficulties during the sustainable agriculture transformation process, one can realize the importance of green agriculture initiatives for creating a better life for humans.

The purpose of this paper is to estimate the technical efficiency of Chinese table grape wholesalers and subsequently to examine the degree to which the calculated efficiency correlates with a set of explanatory variables.

A two-stage procedure is applied in this paper. First, a non-parametric data envelopment analysis (DEA) technique is applied to investigate the degree of technical efficiency for Chinese table grape wholesalers. Second, Tobit regression is used to analyze the factors influencing technical efficiency.

Research results reveal that the mean technical efficiency of the sample is 0.544 and 0.860 under constant returns scale (CRS) and VRS assumptions, respectively, and the scale efficiency (SE) is 0.620. The variables of experiences, number of grape varieties on sale, daily selling volumes and fixed sale ratio have a significant effect on technical efficiency, while the other exogenous variables do not affect the efficiency in any significant way.

The findings of this research are specific to table grape wholesalers in China, however, the method used in this study is transferrable and applicable to the study of similar problems in others countries.

This research has yielded some interesting and original insights into the efficiency level of Chinese grape wholesalers and the factors that influence the level of efficiency. The findings have practical implications for Chinese agriculture policy makers, and are able to stimulate further research of a similar type in the international agricultural research community.

The objective of this paper is to characterise the transactions between European buyers and Brazilian mango and grape producers.

The method selected for this paper was multiple case studies. The Brazilian mango and grape supply chains' export activities to Europe were investigated. The field research was undertaken in Brazil, Germany, The Netherlands and the UK. In total, 41 face‐to‐face interviews were carried out.

The supermarkets' literature tends to generalise the strategies of retailers focusing on differentiation and preferred suppliers. However, in empirical research conducted in the UK, Germany and The Netherlands it is possible to conclude that the procurement strategies of supermarkets can vary sharply. The results reveal the presence of different agents who demand different quality standards. The level of intensity depends on consumer behaviour, the features of product commercialised and the characteristics of the production segment in each country.

First, in relation to the empirical method there is a limitation because the case study does not allow statistical generalisation. Consequently, it will be interesting to undertake quantitative research in order to quantify the variables presented and their impact on the structure of value chains. Second, the research focuses only on two stages of the supply chain, producers and buyers.

The differences between UK and German supermarkets challenge the supermarket literature, which tends to generalise the strategies of retailers focusing on differentiation and preferred suppliers.

The study shows that the issue of influence and activities of retail agents along the value chain can be analysed taking several variables into consideration: the products commercialised; the distribution segment; and the consumer market. This result opens the way for analysing different structures of the value chain and the impact of these differences on the entry of producers for developing countries into the global market.

The purpose of this paper is to develop a common remaining shelf life prediction model that is generally applicable for postharvest table grape using an optimized radial basis function (RBF) neural network to achieve more accurate prediction than the current shelf life (SL) prediction methods.

First, the final indicators (storage temperature, relative humidity, sensory average score, peel hardness, soluble solids content, weight loss rate, rotting rate, fragmentation rate and color difference) affecting SL were determined by the correlation and significance analysis. Then using the analytic hierarchy process (AHP) to calculate the weight of each indicator and determine the end of SL under different storage conditions. Subsequently, the structure of the RBF network redesigned was 9-11-1. Ultimately, the membership degree of Fuzzy clustering (fuzzy c-means) was adopted to optimize the center and width of the RBF network by using the training data.

The results show that this method has the highest prediction accuracy compared to the current the kinetic–Arrhenius model, back propagation (BP) network and RBF network. The maximum absolute error is 1.877, the maximum relative error (RE) is 0.184, and the adjusted R² is 0.911. The prediction accuracy of the kinetic–Arrhenius model is the worst. The RBF network has a better prediction accuracy than the BP network. For robustness, the adjusted R² are 0.853 and 0.886 of Italian grape and Red Globe grape, respectively, and the fitting degree are the highest among all methods, which proves that the optimized method is applicable for accurate SL prediction of different table grape varieties.

This study not only provides a new way for the prediction of SL of different grape varieties, but also provides a reference for the quality and safety management of table grape during storage. Maybe it has a further research significance for the application of RBF neural network in the SL prediction of other fresh foods.

While organization theories acknowledge the influence of specific assets on dependence and increasingly represent the latter as a structure of mutual dependence (dependence of A on B and dependence of B on A), there is, to the best of our knowledge, no empirical test concerning the impact of specific assets on a structure of dependence. Our chapter aims to fill this gap. It is all the more original in that it considers a case study where dependence changes sides according to the characteristics of the transaction. We examine the dependence between Chilean exporters and European importers when trading fresh produce. Such dependence originates with the need for just-in-time coordination and compliance with a compelling demand in a context of high price uncertainty.

Using a unique dataset from international trade in fresh produce between Chile and the rest of the world, we justify the use of a concentration sales ratio as a proxy for dependence and test the influence of a variety of specific assets on the side of dependence by using both categorical and dimensional approaches. Original findings show that certain transaction attributes have a strong influence on the side of dependence. In particular, the higher the frequency and the level of specific assets such as volume, niche varieties, and joint sales with other products, in the transaction, the greater the likelihood of a higher ratio of dependence for the importer rather than the exporter. Conversely, in the event of low levels of specific assets and less frequent operations, dependence tends to be greater on the side of the exporter.

The purpose of this paper is to highlight the efforts of a Spanish SME, Bodega Pirineos, to combine technology and a customized strategy in communication management with its suppliers. This is extremely important because of the necessity to adapt its supply system to the characteristics of its micro‐suppliers, which are key trade partners of the firm.

The approach used was a case study.

The case study suggests how firms must adapt their supply relationships both with suppliers and with the environment. The paper shows that technology is not always enough. Firms need to understand their partners and to communicate with them.

This paper is based on a specific case study. Therefore, its recommendations may be successfully applied to other products in different settings and in other sectors.

The ideas contained in this case study can help supply chain managers to reflect on the necessity of understanding their strategic suppliers. Communication between a company and its suppliers is important for improving the efficiency of its supplying management. A proper management of business‐to‐business communication flow may guarantee the achievement of the necessary inputs and the meeting of the required standards for its products. Understanding why and how Bodega Pirineos customizes communications flows with its micro‐suppliers will help both managers and researchers to reflect on the idea that communication needs comprehension more than technological intensity.

The special characteristics of small and medium‐sized enterprises (SMEs) seem to recommend strategies adapted to their economic and human resources. The paper highlights a successful strategy based on the SME context. It includes both the firm's and their most representative suppliers' perspective.