Trade‐off conflicts among the Sustainable Development Goals have been a challenge. To reconcile frictional relationships among food production security (Goal 2), water use efficiency (Goal 6), and climate change mitigation (Goal 13), an empirical examination using deterministic frontier analysis was conducted globally. A single volume‐based index for each goal is too simple to evaluate the agricultural sustainability of different areas from the nexus assessment perspective. Our major findings are threefold. First, approximately two‐thirds of African countries have suffered from small food production and excess water use. Second, marked contrasts are observed in the possibilities of an increase in food production and reduction in water use and CO₂ emissions among regions. Asian countries use water efficiently, whereas countries in the western regions control CO₂ emissions. Third, trade‐offs among food production, water use, and CO₂ emissions in agriculture are observed. It is almost impossible to reduce water use in Asia and CO₂ emissions in the western regions for food production security. Based on the nexus approach, local strategies need to be compatible with global sustainability. Future research should identify the factors that determine the agricultural efficiency to devise local strategies, and develop policies simultaneously pursuing relevant environmental and well‐being goals.

Pro‐environmental behavior does not seem to diffuse sufficiently in Brazil, China, Germany, Japan, India, or the United States. Based on the current distribution of carbon footprints and learning patterns (DeGroot learning, best practice, and free riding) in social networks in the six countries, what will happen to the diffusion of pro‐environmental behaviors in each country? What policy measures will be most effective? This study aims to simulate the diffusion of pro‐environmental behavior and to test the effectiveness of various policy measures in a dynamic social network model in the six countries. The distribution of pro‐environmental behaviors is generated by global gridded carbon footprint data. The distribution of learning patterns in social networks is estimated in each country, using data from the World Values Survey. This study considers three policy measures: increasing the number of people pursuing best pro‐environmental behavior practices (best practice promotion, [BPP]), decreasing the number of free riders (free‐riding reduction, [FRR]), and converting the learning patterns of people with high degrees of centrality into best practice (centrality‐based best practice promotion, [CBPP]). Interesting findings were threefold. First, there are large differences in the estimated degrees of individual pro‐environmental behavior and the proportions of learning patterns in the six countries. Second, FRR and BPP are effective in promoting pro‐environmental behavior, but the choice of FRR or BPP depends on the initial proportion of free riders. Third, CBPP is the most effective policy of the three in all countries. Centrality in social networks must be considered when implementing intervention.

This study evaluates people’s preferences regarding the proximity of their residence to agricultural urban green infrastructure (UGI), such as agricultural land and satoyama, and discusses the availability of these types of land as UGI. UGI is vital for reducing the negative environmental impacts of urban areas, as these impacts are too large to ignore. In this study, we conducted an online survey and a choice experiment to investigate people’s perceptions regarding the proximity of their residence to agricultural UGI (AUGI). The respondents of the choice experiment were 802 inhabitants of Ishikawa Prefecture, Japan, which has rich agricultural resources. To examine explicitly the spatial autocorrelation of people’s preferences, in this study, we used the spatial econometrics method. The main empirical findings are that people prefer agricultural land far away from their residence—more than 1000 m, not within 1000 m—which reflects the not-in-my-backyard phenomenon. Meanwhile, people’s preferences regarding proximity to satoyama are complicated and their preferences are positively spatially autocorrelated. The results indicate that policymakers and urban planners should manage and provide AUGI far away from residential areas; otherwise, they must address people’s avoidance of neighboring AUGI.