New and improved agricultural technologies can transform lives, particularly the lives of smallholder farm households in Asia who are highly dependent on agriculture. However, there are large gender disparities in the adoption of such technologies. Many barriers exist in achieving gender equity in access to and adoption of agricultural technologies, from sociocultural norms and deeply rooted beliefs about gender roles to lack of agency and lack of resources to implement policies. Notwithstanding these barriers, the case for promoting gender‐inclusive adoption of technology is strong. In this paper, we outline the rationale for improving women's adoption of agricultural technology and discuss the pitfalls of failing to include women in the technology‐adoption agenda. We then explore the policy implications and suggest various strategies that promote gender‐equitable outcomes and that can be used to mainstream gender in agricultural technology adoption efforts to convert policy statements to practical and effective actions.

As the largest developing economy, China plays a key role in global climate change. Environmentally extended input-output analysis (EE-IOA) is an important and insightful tool seeing widespread use in studying large-scale environmental impacts in China: calculating and analyzing greenhouse gas emissions, carbon and water footprints, pollution, and embedded energy. Chinese EE-IOA are hindered, however, by unreliable data and limited resolution. This paper reviews the body of literature regarding EE-IOA for China in peer-reviewed journals and provides an overview of the articles, examining their methodologies, environmental issues addressed, and data utilized. This paper further identifies the shortcomings in using inputoutput analyses to gauge environmental impacts in China. Potentially fruitful areas of expansion in Chinese EE-IOA research are denoted, including under-researched environmental issues, underutilized methodologies, and techniques to disaggregate data to move beyond the limitations inherent in official Chinese input-output data.

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With increasing awareness of agriculture's contribution to global greenhouse gases (GHGs) and China's position as the world's top GHG emitter, there is heightened attention to the embodied emissions in China's food consumption. China's diet has shifted to include more fruit, vegetables, meat and dairy. Not surprisingly, GHG emissions from food consumption have also increased substantially. This analysis links China's food consumption with the emissions of food production industries in China and its trade partners to determine the effects of dietary change on GHGs since 1989. We utilise high-resolution food production and emissions data to perform a logarithmic mean Divisia index decomposition to attribute changes in GHG emissions to the scale, supply structure, demand structure and efficiency effects resulting from Chinese dietary changes over a 20-year period. This study finds that while countries supplying food to China contribute little to China's food-related GHGs, demands for meat and dairy play a much larger role, driving up emissions. The overall scale of increased consumption of all food further propels growth in GHG emissions. Results indicate, however, that while food consumption in China more than doubles between 1989 and 2009 improvements in technological efficiency limit the rate of increase.

An augmented reality (AR) application that complements a DNA precipitation experiment has been developed for use on mobile devices. The AR experience provides atomistic detail on the reasoning behind the experimental observations. The development of the application is described, as are the download data. In a pilot survey, the students were asked about their use or intended use of the application. More students used the application after the laboratory compared with before or during the laboratory. These results suggest that students prefer to use this type of technology as a reflective tool to consolidate their laboratory experience.