Although development organizations agree that reliable access to energy and energy services—one of the 17 Sustainable Development Goals—is likely to have profound and perhaps disproportionate impacts on women, few studies have directly empirically estimated the impact of energy access on women's empowerment. This is a result of both a relative dearth of energy access evaluations in general and a lack of clarity on how to quantify gender impacts of development projects. Here we present an evaluation of the impacts of the Solar Market Garden—a distributed photovoltaic irrigation project—on the level and structure of women's empowerment in Benin, West Africa. We use a quasi-experimental design (matched-pair villages) to estimate changes in empowerment for project beneficiaries after one year of Solar Market Garden production relative to non-beneficiaries in both treatment and comparison villages (n = 771). To create an empowerment metric, we constructed a set of general questions based on existing theories of empowerment, and then used latent variable analysis to understand the underlying structure of empowerment locally. We repeated this analysis at follow-up to understand whether the structure of empowerment had changed over time, and then measured changes in both the levels and likelihood of empowerment over time. We show that the Solar Market Garden significantly positively impacted women's empowerment, particularly through the domain of economic independence. In addition to providing rigorous evidence for the impact of a rural renewable energy project on women's empowerment, our work lays out a methodology that can be used in the future to benchmark the gender impacts of energy projects.

Accurate measurements of crop production in smallholder farming systems are critical to the understanding of yield constraints and, thus, setting the appropriate agronomic investments and policies for improving food security and reducing poverty. Nevertheless, mapping the yields of smallholder farms is challenging because of factors such as small field sizes and heterogeneous landscapes. Recent advances in fine-resolution satellite sensors offer promise for monitoring and characterizing the production of smallholder farms. In this study, we investigated the utility of different sensors, including the commercial Skysat and RapidEye satellites and the publicly accessible Sentinel-2, for tracking smallholder maize yield variation throughout a ~40,000 km2western Kenya region. We tested the potential of two types of multiple regression models for predicting yield: (i) a “calibrated model”, which required ground-measured yield and weather data for calibration, and (ii) an “uncalibrated model”, which used a process-based crop model to generate daily vegetation index and end-of-season biomass and/or yield as pseudo training samples. Model performance was evaluated at the field, division, and district scales using a combination of farmer surveys and crop cuts across thousands of smallholder plots in western Kenya. Results show that the “calibrated” approach captured a significant fraction (R2 between 0.3 and 0.6) of yield variations at aggregated administrative units (e.g., districts and divisions), while the “uncalibrated” approach performed only slightly worse. For both approaches, we found that predictions using the MERIS Terrestrial Chlorophyll Index (MTCI), which included the red edge band available in RapidEye and Sentinel-2, were superior to those made using other commonly used vegetation indices. We also found that multiple refinements to the crop simulation procedures led to improvements in the “uncalibrated” approach. We identified the prevalence of small field sizes, intercropping management, and cloudy satellite images as major challenges to improve the model performance. Overall, this study suggested that high-resolution satellite imagery can be used to map yields of smallholder farming systems, and the methodology presented in this study could serve as a good foundation for other smallholder farming systems in the world.

This paper examines why governments in underdeveloped countries systematically pursue policies that prevent long-term economic growth. Focusing on the design and implementation of Mexico's massive land redistribution program, we argue that governments do so to improve their chances of political survival. Mexico’s incumbent PRI regime gave peasants communal property under a restrictive and inefficient property rights regime. This form of land reform created dependence upon the regime for survival. We find empirical support for this hypothesis using data from a panel of Mexican states from 1917-1992. Land distribution was higher during election years and where the threat of rural unrest was greater. We also show that economic growth and modernization eroded PRI support over the long term, and, further, that PRI support eroded more slowly in states receiving greater levels of land. Inefficient land redistribution therefore served the PRI’s electoral interests, generating a loyal political clientele; and it contributed to political stability. Nonetheless, this policy carried steep costs: land reform substantially depressed long-term economic growth. These findings hold across various model specifications and instrumental variables estimation.

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Following in the footsteps of last year’s international conference on violence and policing in Latin American and U.S. Cities, on April 28th and 29th of 2015, the Poverty Goverance and Violence Lab (PovGov) at Stanford’s Center on Democracy, Development and the Rule of Law (CDDRL) turned Encina Hall at the Freeman Spogli Institute of International Studies (FSI) into a dynamic, instructive and stimulating discussion platform. The exchange of experiences, expertise and ideals that flourished within this space helped create a “dialogue for action,” as speakers and participants explored the various dimensions of youth and criminal violence in Mexico, Brazil and the United States, while advocating for the importance of opening up adequate pathways to hope. The event was sponsored by the Center for Latin American Studies, The Bill Lane Center for the America West, The Mexico Initiative at FSI, and the Center on International Security and Cooperation.