The blockchain is a ledger of accounts and transactions that are written and stored by all participants. It promises a reliable source of truth about the state of farms, inventories and contracts in agriculture, where the collection of such information is often incredibly costly. The blockchain technology can track the provenance of food and thus helps create trustworthy food supply chains and build trust between producers and consumers. As a trusted way of storing data, it facilitates the use of data-driven technologies to make farming smarter. In addition, jointly used with smart contracts, it allows timely payments between stakeholders that can be triggered by data changes appearing in the blockchain This article examines the applications of blockchain technology in food supply chains, agricultural insurance, smart farming, transactions of agricultural products for both theoretical and practical perspectives. We also discuss the challenges of recording transactions made by smallholder farmers and creating the ecosystem for utilizing the blockchain technology in the food and agriculture sector.

Characteristics such as ‘acquaintance society’ and ‘differential mode of association’ have been widely acknowledged as unique features of Chinese rural societies. However, quantitative evidence of these characteristics is not found in the literature. Applying methods in social network analysis, this paper presents a quantitative study of the social structure of Chinese villages. We measure various network statistics and topological properties of these villages using detailed data on major social relationships (including kinship, house neighbourhood, land plot neighbourhood and political relationships) in 10 rural villages located in central China. In this way, we provide a quantitative description of the structural characteristics of Chinese villages and quantitative evidence for some widely acknowledged features. Our findings are threefold: (1) the networks of Chinese villages are densely connected and highly decentralised; (2) the networks are typical small-world networks, referred to in network research as ‘acquaintance societies’; (3) individuals form neighbourhood ties according to the closeness of existing kinship ties, which corroborates the feature of ‘differential mode of association’.

The telecoupling framework is an integrated concept that emphasises socioeconomic and environmental interactions between distant places. Viewed through the lens of the telecoupling framework, land use and food consumption are linked across local to global scales by decision-making agents and trade flows. Quantitatively modelling the dynamics of telecoupled systems like this could be achieved using numerous different modelling approaches. For example, previous approaches to modelling global food trade have often used partial equilibrium economic models, whereas recent approaches to representing local land use decision-making have widely used agent-based modelling. System dynamics models are well established for representing aggregated flows and stores of products and values between distant locations. We argue that hybrid computational models will be useful for capitalising on the strengths these different modelling approaches each have for representing the various concepts in the telecoupling framework. However, integrating multiple modelling approaches into hybrid models faces challenges, including data requirements and uncertainty assessment. To help guide the development of hybrid models for investigating sustainability through the telecoupling framework here we examine important representational and modelling considerations in the context of global food trade and local land use. We report on the development of our own model that incorporates multiple modelling approaches in a modular approach to negotiate the trade-offs between ideal representation and modelling resource constraints. In this initial modelling our focus is on land use and food trade in and between USA, China and Brazil, but also accounting for the rest of the world. We discuss the challenges of integrating multiple modelling approaches to enable analysis of agents, flows, and feedbacks in the telecoupled system. Our analysis indicates differences in representation of agency are possible and should be expected in integrated models. Questions about telecoupling dynamics should be the primary driver in selecting modelling approaches, tempered by resource availability. There is also a need to identify appropriate modelling assessment and analysis tools and learn from their application in other domains.

Xiong, H., J. D. A. Millington, and W. Xu. 2018. Trade in the telecoupling framework: evidence from the metals industry. Ecology and Society 23(1):11. https://doi.org/10.5751/ES-09864-230111