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Carbon-intensive energy infrastructure in the BRI region has exacerbated prospects for climate change. An integrated model was developed to explore the potential of solar photovoltaics as a climate-friendly alternative to achieve the 2 C climate targets outlined in Paris. Results indicate that the solar photovoltaics potential in the BRI region is 41.3 times the regional electricity demand of 2016. The mismatch between technical potential and electricity consumption highlights the advantage of regional cooperation as well as investments in electric power grid interconnections.

Interregional migration has become an important driver shaping the economic landscape in China. By using 2010 Chinese census data, this study investigates the determinants of interregional migration and their implications for regional growth, estimated using principal component analysis, and a negative binomial regression model. In particular, it measures the roles of region size, income and lifestyle, green spaces, and employment opportunities in the origin and destination regions, and distance between the two regions. In addition to confirming the continuing influence of economic indicators as well as distance (owing to high moving costs), the findings presented herein add to the policy debate by encouraging regional policymakers to consider the effects of income, lifestyle, and green spaces. A strategy based on cheap labour is no longer encouraging growth in China, while many regions are suffering from environmental degradation. To address these shortcomings, an amenities‐based growth strategy concerning income, lifestyle, and green spaces for regional development is discussed, and policy implications are suggested. Copyright © 2015 John Wiley & Sons, Ltd.

Urban agglomerations (UAs) in China play a vital role in the distribution of productive forces and constitute the most dynamic and potentially rich core areas for future economic development. However, the rapid economic growth and highintensity interactions seen in relation to these areas, results of the high population densities and aggregation of industries in UAs, also pose significant ecological threats to the environment. This paper attempts to analyse changing trends in the inputoutput efficiency of UAs in China based on the data envelopment analysis (DEA) approach. The paper investigates the DEA efficiency of UAs with different population sizes and geographical locations, explores the relationship between the elements that make up a decomposed model of efficiency and compares the efficiency performance of China's UAs with that of 35 central cities. Moreover, the exogenous factors determining the input-output efficiency of UAs, the question of how to improve UAs' efficiency performance, as well as the focus of future research are also discussed. A number of valuable implications have been drawn from the study, which may be helpful to the task of understanding more deeply the high-density aggregation effects of UAs in China.

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