According to the Food and Agriculture Organization of the United Nations, one‐quarter to one‐third of all the food produced worldwide is wasted. We develop a simple framework to systematically think about food waste based on the life cycle of a typical food item. Based on our framework, we identify problems with extant measures of food waste and propose a more consistent and practical approach. In so doing, we first show that the widely cited, extant measures of the quantity and value of food waste are inconsistent with one another and overstate the problem of food waste. By misdirecting and misallocating some of the resources that are currently put into food waste reduction efforts, this overstatement of the problem could have severe consequences for public policy. Our framework then allows documenting the points of intervention for policies aimed at reducing the extent of food waste in the life cycle of food and the identification of interdependencies between potential policy levers.
Supply chains are increasingly asked by consumers, policy makers, and other stakeholders to deliver product attributes that range far beyond the experience and search attributes of classical consumer demand. One name given these attributes is credence attributes (e.g. place-of-origin, organic, locally-grown). Sustainability as an attribute is an interesting emerging case. Sustainability is an example of a 'wicked problem': complex, ill-defined, messy and unsolvable in any traditional sense. Sustainability's lack of tractability raises the interesting question as to how a supply chain or network produces a thing that is beyond conventional notions of definition and structure. The paper develops a general framework for linking supply chain performance to types of knowledge and supply chain governance. The framework draws from knowledge management theory, the resource based theory of the firm, and transactions cost economics. Various types of knowledge are argued to have different levels of strategic value – explicit knowledge has limited strategic value, tacit knowledge has moderate strategic value, and new knowledge has high strategic value. Managing wicked problems requires a type of supply chain governance that creates new knowledge in the context of a broad stakeholder network. This type of governance is called transformational and is contrasted with exchange governance and learning governance. Once developed, the framework is applied to the wicked problem of sustainability, including a case study on one empirical structure being used to manage it. For supply chains and networks, future economic value is likely to demand delivery of more and more complex attributes that will take businesses increasingly into the realm of wicked problems.
This article surveys and evaluates the current state of knowledge about producers' marketing strategies to manage price and revenue risk for farm commodities. The review highlights gaps between concepts and their implementation. Many well-developed models of price behavior exist, but appropriate characterization and estimation of the probability distributions of commodity prices remain elusive. Hence, the preferred measure of price risk is ambiguous. Numerous models of optimal marketing portfolios for farmers have been specified, but their behavior appears to be inconsistent with most, if not all, of these models. In addition, some research suggests that farmers can earn speculative profits, which is inconsistent with notions of efficient markets. The conclusions discuss what academic research can and cannot accomplish in relation to assisting producers with risk-management decisions.
Recent agricultural economics literature has largely analyzed consumers’ willingness to pay (WTP) for many credence attributes, including place of origin, organic, locally grown, environment-friendly, fair trade, and animal welfare. In this study, we instead attempt to analyze why consumers value “locally grown,” which is a credence attribute receiving increasing attention in the market. Specifically, we propose a distinction between the direct effect and the indirect effect of “locally grown” on consumers’ attitudes towards agri-food products to explain consumers’ preferences for locally grown products. We collect data from an experiment with university students and analyze the data with a structural equation modeling methodology.
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