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This study focuses on the role of local climate conditions in spurring interregional migration in China over the period 2000 to 2010. We developed a robust empirical approach based on a correlated random effects model and a prefecture‐level panel dataset which allows us to account for both within province migration flows and prefecture‐specific characteristics. Empirical results reveal that climate conditions are important determinants of migration in China. Specifically, prefectures with warmer winter, cooler summer, and more available sunshine are more attractive to migrants. Economic factors such as income level and employment opportunities are also important drivers of population growth. [ABSTRACT FROM AUTHOR]

An innovation-diffusion model was developed with agent-based modelling ( ABM); the model is used to study technical innovation and its diffusion process in China. The results are as follows: only a small fraction of firms conduct independent product-innovation, and most firms prefer imitation and/or purchases; most of the innovative firms are located in the East; approximately three or four technology generation products can exist in the market simultaneously; preferential policies can speed the process of innovation diffusion and improve economies of less developed areas, especially in Middle China; lastly, preferential policies can also improve the labour attractiveness of the Middle, West and Northeast and reduce emigration to the East. [ABSTRACT FROM AUTHOR]