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Summary Although policy entrepreneurship is essential for fostering policy innovations to achieve sustainable development, the literature has conflated different types of entrepreneurship and disaggregated it using inconsistent terminology. We conceptualize entrepreneurship using a six‐stream variant of the multiple streams framework (MSF)—which addresses key limitations of the original MSF—to examine entrepreneurial activities in the case of the Jyotigram Yojana, a widely recognized policy innovation for managing the energy–water nexus in Gujarat, India. We find that whereas policy and political entrepreneurship no doubt played a significant role in coupling the streams and fostering this policy innovation, the process broker, program champion, and technology innovator were also important in policy formulation, implementation, and "success." We conclude that the six‐stream variant of MSF is useful for identifying and distinguishing various types of entrepreneurship involved in policy innovation for sustainability. [ABSTRACT FROM AUTHOR]

Recently, it has been argued that the many works on policy learning constitute a stand-alone basis for understanding policy processes. In this study, we evaluate this claim through a bibliometric analysis of 588 publications on the topic in the Web of Science database, complemented by a literature review. We find that while the study of learning is supported by an active and growing research community, it has neither definitional clarity nor a shared vocabulary. And, further, its model of agency is both incomplete and inconsistent. As such, the subject remains more a metaphor than a framework of analysis, per se, and has little potential to advance epistemologically. Given this analysis, we argue that intellectual resources are better spent organising research on learning within existing frameworks rather than attempting to create a new stand-alone one that would contribute to the further splintering of an already fragmented field of study. [ABSTRACT FROM AUTHOR]

Pregnant mothers in Bangladesh are exposed to very high and worsening levels of ambient air pollution. Maternal exposure to fine particulate matter has been associated with low birth weight at much lower levels of exposure, leading us to suspect the potentially large effects of air pollution on stunting in children in Bangladesh. We estimate the relationship between exposure to air pollution in utero and child stunting by pooling outcome data from four waves of the nationally representative Bangladesh Demographic and Health Survey conducted between 2004 and 2014, and calculating children’s exposure to ambient fine particulate matter in utero using high resolution satellite data. We find significant increases in the relative risk of child stunting, wasting, and underweight with higher levels of in utero exposure to air pollution, after controlling for other factors that have been found to contribute to child anthropometric failure. We estimate the relative risk of stunting in the second, third, and fourth quartiles of exposure as 1.074 (95% confidence interval: 1.014–1.138), 1.150 (95% confidence interval: 1.069–1.237, and 1.132 (95% confidence interval: 1.031–1.243), respectively. Over half of all children in Bangladesh in our sample were exposed to an annual ambient fine particulate matter level in excess of 46 µg/m3; these children had a relative risk of stunting over 1.13 times that of children in the lowest quartile of exposure. Reducing air pollution in Bangladesh could significantly contribute to the Sustainable Development Goal of reducing child stunting.