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Abstract Affordable housing that incorporates sustainability goals into its design has the potential to address both health and economic disparities via enhanced energy‐efficiency, structural durability and indoor environmental quality. Despite the potential for these win‐win advances, survey data of U.S. local governments indicate these types of equity investments remain rare. This study explores barriers and pathways to distributional equity via energy‐efficient housing. Using archival city sustainability survey data collected during a period of heightened U.S. federal investment in local government energy‐efficiency programs, we combine machine learning (ML) and process‐tracing approaches for modeling the complex drivers and barriers underlying these decisions. First, we ask, how do characteristics of a city's organizational learning methods—its administrative structure, past experience with housing programs, resources, stakeholder engagement and planning—predict policy commitments to green affordable housing? Using ensemble ML methods, we find that three specific modes of organizational learning—past experience with affordable housing programs, seeking assistance from neighborhood groups and the technical expertise of professional green organizations—are the most impactful features in determining city commitments to constructing green affordable housing. Our second stage uses process‐tracing within a specific case identified by the ML models to determine the ordering of these factors and to provide more nuance on green‐housing policy implementation. 

This article examines the relationship between the political fragmentation of cities in metropolitan regions, the distribution of social vulnerability, and the city-level economic and social sustainability strategies they adopt. Strategies emerge from prevailing community norms, and polycentric governance arrangements can support conditions in which both economic and social sustainability strategies emerge as compliments, contrary to the concern that fragmentation spurs zero-sum competition. Combining surveys of U.S. cities with social vulnerability data and text analysis of planning documents, we find that greater fragmentation has a negative impact on the sustainable development strategies cities adopt. However, growth and sustainable development strategies tend to develop alongside social sustainability efforts to address human needs. We conclude that development strategies emerge in polycentric systems in relation to the degree of fragmentation which exists, and that subsequent work should continue to focus on identifying these entropic thresholds in order to effectively address lingering inequities. 

Climate challenges in the 21st century have given rise to re-thinking the role of local governments in confronting larger-than-local challenges. However, anthropogenic climate change has become a weaponized partisan issue, and surveys show a growing partisan tribalization over climate science. Empowering local governments to take broader climate and sustainability actions is one avenue for addressing this. This study tests a localism hypothesis, which holds that citizens will be more supportive of local climate efforts when the benefits are internalized by the community. This deference to locally directed actions springs from the predisposition for decentralization of political authority widely attributed to localism, a directional goal of motivated reasoners which may feed into social identity, cohesion and shared community values. Through three survey experiments, the study finds citizens are more likely to favor continuation of local climate-related programs in the face of high performance and politicization at the federal level. 

When confronting complex challenges, governments use basic bureaucratic design heuristics -- centralization and specialization. The complexity of environmental and climate issues has drawn recent attention to the ways in which fragmented authority influences, and often challenges, the policy choices and institutional effectiveness of local governments. Sustainability planning and improved performance are potential benefits stemming from the integration of responsibilities across silos. Our central proposition is that institutionalized collective-action mechanisms, which break down siloed decision-making, foster more successful implementation of sustainability policies. We empirically examine this using two surveys of U.S. cities and find evidence that formal collective-action mechanisms positively mediate the relationship between broader agency involvement and more comprehensive performance information collection and use. However, we identify limits to the role of planning in fostering a performance culture. Specifically, cities that have engaged in broader planning conduct less-comprehensive performance management, likely due to measurement difficulty and goal ambiguity.