The limited uptake of agricultural innovations with proven productivity-enhancing potential and the translation of productivity increases into improvements in nutrition are two major development challenges facing Low and Middle Income Countries (LMICs). This research seeks to use data from accelerometry and sensor-based devices to develop reliable and robust human energy expenditure and livelihood activity profiles in rural agricultural settings in developing countries. The research aims to segment device data into meaningful physical activity classifications based on type, frequency, duration and intensity that can be used in research on agricultural and rural livelihood activities. The development of energy expenditure profiles can enable a better understanding of how the uptake of productivity-enhancing agricultural innovations is influenced by the associated human energy expenditure and time-use patterns. These profiles can also provide insight into gender differentiated intra-household labour allocation decisions that may influence agricultural innovation-improved nutrition linkages in LMICs. Expressions of interest are invited for PhD applications with a background in economics and broadly interested in such topic and eager to develop robust empirical research aimed at strong policy implications.
Zanello, Srinivasan, Nkegbe (2016) Physical activity, energy expenditures, and time use in agriculture and rural livelihood: Protocols and preliminary findings from a pilot study in northern Ghana. Mineo. University of Reading